C# Class Amazon.DynamoDBv2.AmazonDynamoDBClient

Implementation for accessing AmazonDynamoDBv2. Amazon DynamoDB Overview

This is the Amazon DynamoDB API Reference. This guide provides descriptions and samples of the Amazon DynamoDB API.

Inheritance: AmazonWebServiceClient, IAmazonDynamoDB
Show file Open project: aws/aws-sdk-net Class Usage Examples

Public Methods

Method Description
AmazonDynamoDBClient ( ) : System

Constructs AmazonDynamoDBClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>

AmazonDynamoDBClient ( AWSCredentials credentials ) : System

Constructs AmazonDynamoDBClient with AWS Credentials

AmazonDynamoDBClient ( AWSCredentials credentials, AmazonDynamoDBConfig clientConfig ) : System

Constructs AmazonDynamoDBClient with AWS Credentials and an AmazonDynamoDBClient Configuration object.

AmazonDynamoDBClient ( AWSCredentials credentials, RegionEndpoint region ) : System

Constructs AmazonDynamoDBClient with AWS Credentials

AmazonDynamoDBClient ( AmazonDynamoDBConfig config ) : System

Constructs AmazonDynamoDBClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>

AmazonDynamoDBClient ( RegionEndpoint region ) : System

Constructs AmazonDynamoDBClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>

AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey ) : System

Constructs AmazonDynamoDBClient with AWS Access Key ID and AWS Secret Key

AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, AmazonDynamoDBConfig clientConfig ) : System

Constructs AmazonDynamoDBClient with AWS Access Key ID, AWS Secret Key and an AmazonDynamoDBClient Configuration object.

AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, RegionEndpoint region ) : System

Constructs AmazonDynamoDBClient with AWS Access Key ID and AWS Secret Key

AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken ) : System

Constructs AmazonDynamoDBClient with AWS Access Key ID and AWS Secret Key

AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken, AmazonDynamoDBConfig clientConfig ) : System

Constructs AmazonDynamoDBClient with AWS Access Key ID, AWS Secret Key and an AmazonDynamoDBClient Configuration object.

AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken, RegionEndpoint region ) : System

Constructs AmazonDynamoDBClient with AWS Access Key ID and AWS Secret Key

BatchGetItem ( BatchGetItemRequest request ) : BatchGetItemResponse

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

BatchGetItem ( KeysAndAttributes>.Dictionary requestItems ) : BatchGetItemResponse

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

BatchGetItem ( KeysAndAttributes>.Dictionary requestItems, ReturnConsumedCapacity returnConsumedCapacity ) : BatchGetItemResponse

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

BatchGetItemAsync ( BatchGetItemRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the BatchGetItem operation.

BatchGetItemAsync ( KeysAndAttributes>.Dictionary requestItems, ReturnConsumedCapacity returnConsumedCapacity, System cancellationToken = default(CancellationToken) ) : Task

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

BatchGetItemAsync ( KeysAndAttributes>.Dictionary requestItems, System cancellationToken = default(CancellationToken) ) : Task

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

BatchWriteItem ( BatchWriteItemRequest request ) : BatchWriteItemResponse

The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.

BatchWriteItem cannot update items. To update items, use the UpdateItem API.

The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.

Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem will return a ProvisionedThroughputExceededException.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

With BatchWriteItem, you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem does not behave in the same way as individual PutItem and DeleteItem calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.

If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem provides an alternative where the API performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.

Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.

If one or more of the following is true, DynamoDB rejects the entire batch write operation:

  • One or more tables specified in the BatchWriteItem request does not exist.

  • Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.

  • You try to perform multiple operations on the same item in the same BatchWriteItem request. For example, you cannot put and delete the same item in the same BatchWriteItem request.

  • There are more than 25 requests in the batch.

  • Any individual item in a batch exceeds 400 KB.

  • The total request size exceeds 16 MB.

BatchWriteItem ( Dictionary requestItems ) : BatchWriteItemResponse

The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.

BatchWriteItem cannot update items. To update items, use the UpdateItem API.

The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.

Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem will return a ProvisionedThroughputExceededException.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

With BatchWriteItem, you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem does not behave in the same way as individual PutItem and DeleteItem calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.

If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem provides an alternative where the API performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.

Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.

If one or more of the following is true, DynamoDB rejects the entire batch write operation:

  • One or more tables specified in the BatchWriteItem request does not exist.

  • Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.

  • You try to perform multiple operations on the same item in the same BatchWriteItem request. For example, you cannot put and delete the same item in the same BatchWriteItem request.

  • There are more than 25 requests in the batch.

  • Any individual item in a batch exceeds 400 KB.

  • The total request size exceeds 16 MB.

BatchWriteItemAsync ( BatchWriteItemRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the BatchWriteItem operation.

BatchWriteItemAsync ( Dictionary requestItems, System cancellationToken = default(CancellationToken) ) : Task

The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.

BatchWriteItem cannot update items. To update items, use the UpdateItem API.

The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.

Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem will return a ProvisionedThroughputExceededException.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

With BatchWriteItem, you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem does not behave in the same way as individual PutItem and DeleteItem calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.

If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem provides an alternative where the API performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.

Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.

If one or more of the following is true, DynamoDB rejects the entire batch write operation:

  • One or more tables specified in the BatchWriteItem request does not exist.

  • Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.

  • You try to perform multiple operations on the same item in the same BatchWriteItem request. For example, you cannot put and delete the same item in the same BatchWriteItem request.

  • There are more than 25 requests in the batch.

  • Any individual item in a batch exceeds 400 KB.

  • The total request size exceeds 16 MB.

BeginBatchGetItem ( BatchGetItemRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the BatchGetItem operation.

BeginBatchWriteItem ( BatchWriteItemRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the BatchWriteItem operation.

BeginCreateTable ( CreateTableRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the CreateTable operation.

BeginDeleteItem ( DeleteItemRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DeleteItem operation.

BeginDeleteTable ( DeleteTableRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DeleteTable operation.

BeginDescribeLimits ( DescribeLimitsRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DescribeLimits operation.

BeginDescribeTable ( DescribeTableRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DescribeTable operation.

BeginGetItem ( GetItemRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the GetItem operation.

BeginListTables ( ListTablesRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the ListTables operation.

BeginPutItem ( PutItemRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the PutItem operation.

BeginQuery ( QueryRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the Query operation.

BeginScan ( ScanRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the Scan operation.

BeginUpdateItem ( UpdateItemRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the UpdateItem operation.

BeginUpdateTable ( UpdateTableRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the UpdateTable operation.

CreateTable ( CreateTableRequest request ) : CreateTableResponse

The CreateTable operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.

CreateTable is an asynchronous operation. Upon receiving a CreateTable request, DynamoDB immediately returns a response with a TableStatus of CREATING. After the table is created, DynamoDB sets the TableStatus to ACTIVE. You can perform read and write operations only on an ACTIVE table.

You can optionally define secondary indexes on the new table, as part of the CreateTable operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING state at any given time.

You can use the DescribeTable API to check the table status.

CreateTable ( string tableName, List keySchema, List attributeDefinitions, ProvisionedThroughput provisionedThroughput ) : CreateTableResponse

The CreateTable operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.

CreateTable is an asynchronous operation. Upon receiving a CreateTable request, DynamoDB immediately returns a response with a TableStatus of CREATING. After the table is created, DynamoDB sets the TableStatus to ACTIVE. You can perform read and write operations only on an ACTIVE table.

You can optionally define secondary indexes on the new table, as part of the CreateTable operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING state at any given time.

You can use the DescribeTable API to check the table status.

CreateTableAsync ( CreateTableRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the CreateTable operation.

CreateTableAsync ( string tableName, List keySchema, List attributeDefinitions, ProvisionedThroughput provisionedThroughput, System cancellationToken = default(CancellationToken) ) : Task

The CreateTable operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.

CreateTable is an asynchronous operation. Upon receiving a CreateTable request, DynamoDB immediately returns a response with a TableStatus of CREATING. After the table is created, DynamoDB sets the TableStatus to ACTIVE. You can perform read and write operations only on an ACTIVE table.

You can optionally define secondary indexes on the new table, as part of the CreateTable operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING state at any given time.

You can use the DescribeTable API to check the table status.

DeleteItem ( DeleteItemRequest request ) : DeleteItemResponse

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

DeleteItem ( string tableName, AttributeValue>.Dictionary key ) : DeleteItemResponse

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

DeleteItem ( string tableName, AttributeValue>.Dictionary key, ReturnValue returnValues ) : DeleteItemResponse

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

DeleteItemAsync ( DeleteItemRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DeleteItem operation.

DeleteItemAsync ( string tableName, AttributeValue>.Dictionary key, ReturnValue returnValues, System cancellationToken = default(CancellationToken) ) : Task

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

DeleteItemAsync ( string tableName, AttributeValue>.Dictionary key, System cancellationToken = default(CancellationToken) ) : Task

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

DeleteTable ( DeleteTableRequest request ) : DeleteTableResponse

The DeleteTable operation deletes a table and all of its items. After a DeleteTable request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the table is in the ACTIVE state, you can delete it. If a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException. If the specified table does not exist, DynamoDB returns a ResourceNotFoundException. If table is already in the DELETING state, no error is returned.

DynamoDB might continue to accept data read and write operations, such as GetItem and PutItem, on a table in the DELETING state until the table deletion is complete.

When you delete a table, any indexes on that table are also deleted.

If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED state, and the stream is automatically deleted after 24 hours.

Use the DescribeTable API to check the status of the table.

DeleteTable ( string tableName ) : DeleteTableResponse

The DeleteTable operation deletes a table and all of its items. After a DeleteTable request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the table is in the ACTIVE state, you can delete it. If a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException. If the specified table does not exist, DynamoDB returns a ResourceNotFoundException. If table is already in the DELETING state, no error is returned.

DynamoDB might continue to accept data read and write operations, such as GetItem and PutItem, on a table in the DELETING state until the table deletion is complete.

When you delete a table, any indexes on that table are also deleted.

If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED state, and the stream is automatically deleted after 24 hours.

Use the DescribeTable API to check the status of the table.

DeleteTableAsync ( DeleteTableRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DeleteTable operation.

DeleteTableAsync ( string tableName, System cancellationToken = default(CancellationToken) ) : Task

The DeleteTable operation deletes a table and all of its items. After a DeleteTable request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the table is in the ACTIVE state, you can delete it. If a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException. If the specified table does not exist, DynamoDB returns a ResourceNotFoundException. If table is already in the DELETING state, no error is returned.

DynamoDB might continue to accept data read and write operations, such as GetItem and PutItem, on a table in the DELETING state until the table deletion is complete.

When you delete a table, any indexes on that table are also deleted.

If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED state, and the stream is automatically deleted after 24 hours.

Use the DescribeTable API to check the status of the table.

DescribeLimits ( DescribeLimitsRequest request ) : DescribeLimitsResponse

Returns the current provisioned-capacity limits for your AWS account in a region, both for the region as a whole and for any one DynamoDB table that you create there.

When you establish an AWS account, the account has initial limits on the maximum read capacity units and write capacity units that you can provision across all of your DynamoDB tables in a given region. Also, there are per-table limits that apply when you create a table there. For more information, see Limits page in the Amazon DynamoDB Developer Guide.

Although you can increase these limits by filing a case at AWS Support Center, obtaining the increase is not instantaneous. The DescribeLimits API lets you write code to compare the capacity you are currently using to those limits imposed by your account so that you have enough time to apply for an increase before you hit a limit.

For example, you could use one of the AWS SDKs to do the following:

  1. Call DescribeLimits for a particular region to obtain your current account limits on provisioned capacity there.

  2. Create a variable to hold the aggregate read capacity units provisioned for all your tables in that region, and one to hold the aggregate write capacity units. Zero them both.

  3. Call ListTables to obtain a list of all your DynamoDB tables.

  4. For each table name listed by ListTables, do the following:

    • Call DescribeTable with the table name.

    • Use the data returned by DescribeTable to add the read capacity units and write capacity units provisioned for the table itself to your variables.

    • If the table has one or more global secondary indexes (GSIs), loop over these GSIs and add their provisioned capacity values to your variables as well.

  5. Report the account limits for that region returned by DescribeLimits, along with the total current provisioned capacity levels you have calculated.

This will let you see whether you are getting close to your account-level limits.

The per-table limits apply only when you are creating a new table. They restrict the sum of the provisioned capacity of the new table itself and all its global secondary indexes.

For existing tables and their GSIs, DynamoDB will not let you increase provisioned capacity extremely rapidly, but the only upper limit that applies is that the aggregate provisioned capacity over all your tables and GSIs cannot exceed either of the per-account limits.

DescribeLimits should only be called periodically. You can expect throttling errors if you call it more than once in a minute.

The DescribeLimits Request element has no content.

DescribeLimitsAsync ( DescribeLimitsRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DescribeLimits operation.

DescribeTable ( DescribeTableRequest request ) : DescribeTableResponse

Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.

If you issue a DescribeTable request immediately after a CreateTable request, DynamoDB might return a ResourceNotFoundException. This is because DescribeTable uses an eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a few seconds, and then try the DescribeTable request again.

DescribeTable ( string tableName ) : DescribeTableResponse

Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.

If you issue a DescribeTable request immediately after a CreateTable request, DynamoDB might return a ResourceNotFoundException. This is because DescribeTable uses an eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a few seconds, and then try the DescribeTable request again.

DescribeTableAsync ( DescribeTableRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DescribeTable operation.

DescribeTableAsync ( string tableName, System cancellationToken = default(CancellationToken) ) : Task

Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.

If you issue a DescribeTable request immediately after a CreateTable request, DynamoDB might return a ResourceNotFoundException. This is because DescribeTable uses an eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a few seconds, and then try the DescribeTable request again.

EndBatchGetItem ( IAsyncResult asyncResult ) : BatchGetItemResponse

Finishes the asynchronous execution of the BatchGetItem operation.

EndBatchWriteItem ( IAsyncResult asyncResult ) : BatchWriteItemResponse

Finishes the asynchronous execution of the BatchWriteItem operation.

EndCreateTable ( IAsyncResult asyncResult ) : CreateTableResponse

Finishes the asynchronous execution of the CreateTable operation.

EndDeleteItem ( IAsyncResult asyncResult ) : DeleteItemResponse

Finishes the asynchronous execution of the DeleteItem operation.

EndDeleteTable ( IAsyncResult asyncResult ) : DeleteTableResponse

Finishes the asynchronous execution of the DeleteTable operation.

EndDescribeLimits ( IAsyncResult asyncResult ) : DescribeLimitsResponse

Finishes the asynchronous execution of the DescribeLimits operation.

EndDescribeTable ( IAsyncResult asyncResult ) : DescribeTableResponse

Finishes the asynchronous execution of the DescribeTable operation.

EndGetItem ( IAsyncResult asyncResult ) : GetItemResponse

Finishes the asynchronous execution of the GetItem operation.

EndListTables ( IAsyncResult asyncResult ) : ListTablesResponse

Finishes the asynchronous execution of the ListTables operation.

EndPutItem ( IAsyncResult asyncResult ) : PutItemResponse

Finishes the asynchronous execution of the PutItem operation.

EndQuery ( IAsyncResult asyncResult ) : QueryResponse

Finishes the asynchronous execution of the Query operation.

EndScan ( IAsyncResult asyncResult ) : ScanResponse

Finishes the asynchronous execution of the Scan operation.

EndUpdateItem ( IAsyncResult asyncResult ) : UpdateItemResponse

Finishes the asynchronous execution of the UpdateItem operation.

EndUpdateTable ( IAsyncResult asyncResult ) : UpdateTableResponse

Finishes the asynchronous execution of the UpdateTable operation.

GetItem ( GetItemRequest request ) : GetItemResponse

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

GetItem ( string tableName, AttributeValue>.Dictionary key ) : GetItemResponse

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

GetItem ( string tableName, AttributeValue>.Dictionary key, bool consistentRead ) : GetItemResponse

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

GetItemAsync ( GetItemRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the GetItem operation.

GetItemAsync ( string tableName, AttributeValue>.Dictionary key, System cancellationToken = default(CancellationToken) ) : Task

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

GetItemAsync ( string tableName, AttributeValue>.Dictionary key, bool consistentRead, System cancellationToken = default(CancellationToken) ) : Task

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

ListTables ( ) : ListTablesResponse

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

ListTables ( ListTablesRequest request ) : ListTablesResponse

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

ListTables ( int limit ) : ListTablesResponse

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

ListTables ( string exclusiveStartTableName ) : ListTablesResponse

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

ListTables ( string exclusiveStartTableName, int limit ) : ListTablesResponse

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

ListTablesAsync ( ListTablesRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the ListTables operation.

ListTablesAsync ( System cancellationToken = default(CancellationToken) ) : Task

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

ListTablesAsync ( int limit, System cancellationToken = default(CancellationToken) ) : Task

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

ListTablesAsync ( string exclusiveStartTableName, System cancellationToken = default(CancellationToken) ) : Task

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

ListTablesAsync ( string exclusiveStartTableName, int limit, System cancellationToken = default(CancellationToken) ) : Task

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.

PutItem ( PutItemRequest request ) : PutItemResponse

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

PutItem ( string tableName, AttributeValue>.Dictionary item ) : PutItemResponse

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

PutItem ( string tableName, AttributeValue>.Dictionary item, ReturnValue returnValues ) : PutItemResponse

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

PutItemAsync ( PutItemRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the PutItem operation.

PutItemAsync ( string tableName, AttributeValue>.Dictionary item, ReturnValue returnValues, System cancellationToken = default(CancellationToken) ) : Task

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

PutItemAsync ( string tableName, AttributeValue>.Dictionary item, System cancellationToken = default(CancellationToken) ) : Task

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

Query ( QueryRequest request ) : QueryResponse

A Query operation uses the primary key of a table or a secondary index to directly access items from that table or index.

Use the KeyConditionExpression parameter to provide a specific value for the partition key. The Query operation will return all of the items from the table or index with that partition key value. You can optionally narrow the scope of the Query operation by specifying a sort key value and a comparison operator in KeyConditionExpression. You can use the ScanIndexForward parameter to get results in forward or reverse order, by sort key.

Queries that do not return results consume the minimum number of read capacity units for that type of read operation.

If the total number of items meeting the query criteria exceeds the result set size limit of 1 MB, the query stops and results are returned to the user with the LastEvaluatedKey element to continue the query in a subsequent operation. Unlike a Scan operation, a Query operation never returns both an empty result set and a LastEvaluatedKey value. LastEvaluatedKey is only provided if you have used the Limit parameter, or if the result set exceeds 1 MB (prior to applying a filter).

You can query a table, a local secondary index, or a global secondary index. For a query on a table or on a local secondary index, you can set the ConsistentRead parameter to true and obtain a strongly consistent result. Global secondary indexes support eventually consistent reads only, so do not specify ConsistentRead when querying a global secondary index.

QueryAsync ( QueryRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the Query operation.

Scan ( ScanRequest request ) : ScanResponse

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

Scan ( string tableName, Condition>.Dictionary scanFilter ) : ScanResponse

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

Scan ( string tableName, List attributesToGet ) : ScanResponse

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

Scan ( string tableName, List attributesToGet, Condition>.Dictionary scanFilter ) : ScanResponse

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

ScanAsync ( ScanRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the Scan operation.

ScanAsync ( string tableName, Condition>.Dictionary scanFilter, System cancellationToken = default(CancellationToken) ) : Task

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

ScanAsync ( string tableName, List attributesToGet, Condition>.Dictionary scanFilter, System cancellationToken = default(CancellationToken) ) : Task

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

ScanAsync ( string tableName, List attributesToGet, System cancellationToken = default(CancellationToken) ) : Task

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

UpdateItem ( UpdateItemRequest request ) : UpdateItemResponse

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

UpdateItem ( string tableName, AttributeValue>.Dictionary key, AttributeValueUpdate>.Dictionary attributeUpdates ) : UpdateItemResponse

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

UpdateItem ( string tableName, AttributeValue>.Dictionary key, AttributeValueUpdate>.Dictionary attributeUpdates, ReturnValue returnValues ) : UpdateItemResponse

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

UpdateItemAsync ( UpdateItemRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the UpdateItem operation.

UpdateItemAsync ( string tableName, AttributeValue>.Dictionary key, AttributeValueUpdate>.Dictionary attributeUpdates, ReturnValue returnValues, System cancellationToken = default(CancellationToken) ) : Task

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

UpdateItemAsync ( string tableName, AttributeValue>.Dictionary key, AttributeValueUpdate>.Dictionary attributeUpdates, System cancellationToken = default(CancellationToken) ) : Task

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

UpdateTable ( UpdateTableRequest request ) : UpdateTableResponse

Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.

You can only perform one of the following operations at once:

  • Modify the provisioned throughput settings of the table.

  • Enable or disable Streams on the table.

  • Remove a global secondary index from the table.

  • Create a new global secondary index on the table. Once the index begins backfilling, you can use UpdateTable to perform other operations.

UpdateTable is an asynchronous operation; while it is executing, the table status changes from ACTIVE to UPDATING. While it is UPDATING, you cannot issue another UpdateTable request. When the table returns to the ACTIVE state, the UpdateTable operation is complete.

UpdateTable ( string tableName, ProvisionedThroughput provisionedThroughput ) : UpdateTableResponse

Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.

You can only perform one of the following operations at once:

  • Modify the provisioned throughput settings of the table.

  • Enable or disable Streams on the table.

  • Remove a global secondary index from the table.

  • Create a new global secondary index on the table. Once the index begins backfilling, you can use UpdateTable to perform other operations.

UpdateTable is an asynchronous operation; while it is executing, the table status changes from ACTIVE to UPDATING. While it is UPDATING, you cannot issue another UpdateTable request. When the table returns to the ACTIVE state, the UpdateTable operation is complete.

UpdateTableAsync ( UpdateTableRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the UpdateTable operation.

UpdateTableAsync ( string tableName, ProvisionedThroughput provisionedThroughput, System cancellationToken = default(CancellationToken) ) : Task

Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.

You can only perform one of the following operations at once:

  • Modify the provisioned throughput settings of the table.

  • Enable or disable Streams on the table.

  • Remove a global secondary index from the table.

  • Create a new global secondary index on the table. Once the index begins backfilling, you can use UpdateTable to perform other operations.

UpdateTable is an asynchronous operation; while it is executing, the table status changes from ACTIVE to UPDATING. While it is UPDATING, you cannot issue another UpdateTable request. When the table returns to the ACTIVE state, the UpdateTable operation is complete.

Protected Methods

Method Description
CreateSigner ( ) : AbstractAWSSigner

Creates the signer for the service.

CustomizeRuntimePipeline ( RuntimePipeline pipeline ) : void

Customize the pipeline

Dispose ( bool disposing ) : void

Disposes the service client.

Method Details

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>
public AmazonDynamoDBClient ( ) : System
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Credentials
public AmazonDynamoDBClient ( AWSCredentials credentials ) : System
credentials Amazon.Runtime.AWSCredentials AWS Credentials
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Credentials and an AmazonDynamoDBClient Configuration object.
public AmazonDynamoDBClient ( AWSCredentials credentials, AmazonDynamoDBConfig clientConfig ) : System
credentials Amazon.Runtime.AWSCredentials AWS Credentials
clientConfig AmazonDynamoDBConfig The AmazonDynamoDBClient Configuration Object
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Credentials
public AmazonDynamoDBClient ( AWSCredentials credentials, RegionEndpoint region ) : System
credentials Amazon.Runtime.AWSCredentials AWS Credentials
region RegionEndpoint The region to connect.
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>
public AmazonDynamoDBClient ( AmazonDynamoDBConfig config ) : System
config AmazonDynamoDBConfig The AmazonDynamoDBClient Configuration Object
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>
public AmazonDynamoDBClient ( RegionEndpoint region ) : System
region RegionEndpoint The region to connect.
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Access Key ID and AWS Secret Key
public AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Access Key ID, AWS Secret Key and an AmazonDynamoDBClient Configuration object.
public AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, AmazonDynamoDBConfig clientConfig ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
clientConfig AmazonDynamoDBConfig The AmazonDynamoDBClient Configuration Object
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Access Key ID and AWS Secret Key
public AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, RegionEndpoint region ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
region RegionEndpoint The region to connect.
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Access Key ID and AWS Secret Key
public AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
awsSessionToken string AWS Session Token
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Access Key ID, AWS Secret Key and an AmazonDynamoDBClient Configuration object.
public AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken, AmazonDynamoDBConfig clientConfig ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
awsSessionToken string AWS Session Token
clientConfig AmazonDynamoDBConfig The AmazonDynamoDBClient Configuration Object
return System

AmazonDynamoDBClient() public method

Constructs AmazonDynamoDBClient with AWS Access Key ID and AWS Secret Key
public AmazonDynamoDBClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken, RegionEndpoint region ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
awsSessionToken string AWS Session Token
region RegionEndpoint The region to connect.
return System

BatchGetItem() public method

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public BatchGetItem ( BatchGetItemRequest request ) : BatchGetItemResponse
request Amazon.DynamoDBv2.Model.BatchGetItemRequest Container for the necessary parameters to execute the BatchGetItem service method.
return Amazon.DynamoDBv2.Model.BatchGetItemResponse

BatchGetItem() public method

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public BatchGetItem ( KeysAndAttributes>.Dictionary requestItems ) : BatchGetItemResponse
requestItems KeysAndAttributes>.Dictionary A map of one or more table names and, for each table, a map that describes one or more items to retrieve from that table. Each table name can be used only once per BatchGetItem request. Each element in the map of items to retrieve consists of the following:
  • ConsistentRead - If true, a strongly consistent read is used; if false (the default), an eventually consistent read is used.
  • ExpressionAttributeNames - One or more substitution tokens for attribute names in the ProjectionExpression parameter. The following are some use cases for using ExpressionAttributeNames:
    • To access an attribute whose name conflicts with a DynamoDB reserved word.
    • To create a placeholder for repeating occurrences of an attribute name in an expression.
    • To prevent special characters in an attribute name from being misinterpreted in an expression.
    Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
    • Percentile
    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:
    • {"#P":"Percentile"}
    You could then use this substitution in an expression, as in this example:
    • #P = :val
    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime. For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
  • Keys - An array of primary key attribute values that define specific items in the table. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key value. For a composite key, you must provide both the partition key value and the sort key value.
  • ProjectionExpression - A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas. If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
  • AttributesToGet - This is a legacy parameter, for backward compatibility. New applications should use ProjectionExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter allows you to retrieve attributes of type List or Map; however, it cannot retrieve individual elements within a List or a Map. The names of one or more attributes to retrieve. If no attribute names are provided, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. Note that AttributesToGet has no effect on provisioned throughput consumption. DynamoDB determines capacity units consumed based on item size, not on the amount of data that is returned to an application.
return Amazon.DynamoDBv2.Model.BatchGetItemResponse

BatchGetItem() public method

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public BatchGetItem ( KeysAndAttributes>.Dictionary requestItems, ReturnConsumedCapacity returnConsumedCapacity ) : BatchGetItemResponse
requestItems KeysAndAttributes>.Dictionary A map of one or more table names and, for each table, a map that describes one or more items to retrieve from that table. Each table name can be used only once per BatchGetItem request. Each element in the map of items to retrieve consists of the following:
  • ConsistentRead - If true, a strongly consistent read is used; if false (the default), an eventually consistent read is used.
  • ExpressionAttributeNames - One or more substitution tokens for attribute names in the ProjectionExpression parameter. The following are some use cases for using ExpressionAttributeNames:
    • To access an attribute whose name conflicts with a DynamoDB reserved word.
    • To create a placeholder for repeating occurrences of an attribute name in an expression.
    • To prevent special characters in an attribute name from being misinterpreted in an expression.
    Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
    • Percentile
    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:
    • {"#P":"Percentile"}
    You could then use this substitution in an expression, as in this example:
    • #P = :val
    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime. For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
  • Keys - An array of primary key attribute values that define specific items in the table. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key value. For a composite key, you must provide both the partition key value and the sort key value.
  • ProjectionExpression - A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas. If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
  • AttributesToGet - This is a legacy parameter, for backward compatibility. New applications should use ProjectionExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter allows you to retrieve attributes of type List or Map; however, it cannot retrieve individual elements within a List or a Map. The names of one or more attributes to retrieve. If no attribute names are provided, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. Note that AttributesToGet has no effect on provisioned throughput consumption. DynamoDB determines capacity units consumed based on item size, not on the amount of data that is returned to an application.
returnConsumedCapacity ReturnConsumedCapacity A property of BatchGetItemRequest used to execute the BatchGetItem service method.
return Amazon.DynamoDBv2.Model.BatchGetItemResponse

BatchGetItemAsync() public method

Initiates the asynchronous execution of the BatchGetItem operation.
public BatchGetItemAsync ( BatchGetItemRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.BatchGetItemRequest Container for the necessary parameters to execute the BatchGetItem operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

BatchGetItemAsync() public method

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public BatchGetItemAsync ( KeysAndAttributes>.Dictionary requestItems, ReturnConsumedCapacity returnConsumedCapacity, System cancellationToken = default(CancellationToken) ) : Task
requestItems KeysAndAttributes>.Dictionary A map of one or more table names and, for each table, a map that describes one or more items to retrieve from that table. Each table name can be used only once per BatchGetItem request. Each element in the map of items to retrieve consists of the following:
  • ConsistentRead - If true, a strongly consistent read is used; if false (the default), an eventually consistent read is used.
  • ExpressionAttributeNames - One or more substitution tokens for attribute names in the ProjectionExpression parameter. The following are some use cases for using ExpressionAttributeNames:
    • To access an attribute whose name conflicts with a DynamoDB reserved word.
    • To create a placeholder for repeating occurrences of an attribute name in an expression.
    • To prevent special characters in an attribute name from being misinterpreted in an expression.
    Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
    • Percentile
    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:
    • {"#P":"Percentile"}
    You could then use this substitution in an expression, as in this example:
    • #P = :val
    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime. For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
  • Keys - An array of primary key attribute values that define specific items in the table. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key value. For a composite key, you must provide both the partition key value and the sort key value.
  • ProjectionExpression - A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas. If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
  • AttributesToGet - This is a legacy parameter, for backward compatibility. New applications should use ProjectionExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter allows you to retrieve attributes of type List or Map; however, it cannot retrieve individual elements within a List or a Map. The names of one or more attributes to retrieve. If no attribute names are provided, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. Note that AttributesToGet has no effect on provisioned throughput consumption. DynamoDB determines capacity units consumed based on item size, not on the amount of data that is returned to an application.
returnConsumedCapacity ReturnConsumedCapacity A property of BatchGetItemRequest used to execute the BatchGetItem service method.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

BatchGetItemAsync() public method

The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.

A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys. You can use this value to retry the operation starting with the next item to get.

If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".

For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.

If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.

In order to minimize response latency, BatchGetItem retrieves items in parallel.

When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the AttributesToGet parameter.

If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public BatchGetItemAsync ( KeysAndAttributes>.Dictionary requestItems, System cancellationToken = default(CancellationToken) ) : Task
requestItems KeysAndAttributes>.Dictionary A map of one or more table names and, for each table, a map that describes one or more items to retrieve from that table. Each table name can be used only once per BatchGetItem request. Each element in the map of items to retrieve consists of the following:
  • ConsistentRead - If true, a strongly consistent read is used; if false (the default), an eventually consistent read is used.
  • ExpressionAttributeNames - One or more substitution tokens for attribute names in the ProjectionExpression parameter. The following are some use cases for using ExpressionAttributeNames:
    • To access an attribute whose name conflicts with a DynamoDB reserved word.
    • To create a placeholder for repeating occurrences of an attribute name in an expression.
    • To prevent special characters in an attribute name from being misinterpreted in an expression.
    Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
    • Percentile
    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:
    • {"#P":"Percentile"}
    You could then use this substitution in an expression, as in this example:
    • #P = :val
    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime. For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
  • Keys - An array of primary key attribute values that define specific items in the table. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key value. For a composite key, you must provide both the partition key value and the sort key value.
  • ProjectionExpression - A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas. If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
  • AttributesToGet - This is a legacy parameter, for backward compatibility. New applications should use ProjectionExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter allows you to retrieve attributes of type List or Map; however, it cannot retrieve individual elements within a List or a Map. The names of one or more attributes to retrieve. If no attribute names are provided, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. Note that AttributesToGet has no effect on provisioned throughput consumption. DynamoDB determines capacity units consumed based on item size, not on the amount of data that is returned to an application.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

BatchWriteItem() public method

The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.

BatchWriteItem cannot update items. To update items, use the UpdateItem API.

The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.

Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem will return a ProvisionedThroughputExceededException.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

With BatchWriteItem, you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem does not behave in the same way as individual PutItem and DeleteItem calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.

If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem provides an alternative where the API performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.

Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.

If one or more of the following is true, DynamoDB rejects the entire batch write operation:

  • One or more tables specified in the BatchWriteItem request does not exist.

  • Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.

  • You try to perform multiple operations on the same item in the same BatchWriteItem request. For example, you cannot put and delete the same item in the same BatchWriteItem request.

  • There are more than 25 requests in the batch.

  • Any individual item in a batch exceeds 400 KB.

  • The total request size exceeds 16 MB.

/// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public BatchWriteItem ( BatchWriteItemRequest request ) : BatchWriteItemResponse
request Amazon.DynamoDBv2.Model.BatchWriteItemRequest Container for the necessary parameters to execute the BatchWriteItem service method.
return Amazon.DynamoDBv2.Model.BatchWriteItemResponse

BatchWriteItem() public method

The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.

BatchWriteItem cannot update items. To update items, use the UpdateItem API.

The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.

Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem will return a ProvisionedThroughputExceededException.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

With BatchWriteItem, you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem does not behave in the same way as individual PutItem and DeleteItem calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.

If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem provides an alternative where the API performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.

Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.

If one or more of the following is true, DynamoDB rejects the entire batch write operation:

  • One or more tables specified in the BatchWriteItem request does not exist.

  • Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.

  • You try to perform multiple operations on the same item in the same BatchWriteItem request. For example, you cannot put and delete the same item in the same BatchWriteItem request.

  • There are more than 25 requests in the batch.

  • Any individual item in a batch exceeds 400 KB.

  • The total request size exceeds 16 MB.

/// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public BatchWriteItem ( Dictionary requestItems ) : BatchWriteItemResponse
requestItems Dictionary A map of one or more table names and, for each table, a list of operations to be performed (DeleteRequest or PutRequest). Each element in the map consists of the following:
  • DeleteRequest - Perform a DeleteItem operation on the specified item. The item to be deleted is identified by a Key subelement:
    • Key - A map of primary key attribute values that uniquely identify the ! item. Each entry in this map consists of an attribute name and an attribute value. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
  • PutRequest - Perform a PutItem operation on the specified item. The item to be put is identified by an Item subelement:
    • Item - A map of attributes and their values. Each entry in this map consists of an attribute name and an attribute value. Attribute values must not be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests that contain empty values will be rejected with a ValidationException exception. If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
return Amazon.DynamoDBv2.Model.BatchWriteItemResponse

BatchWriteItemAsync() public method

Initiates the asynchronous execution of the BatchWriteItem operation.
public BatchWriteItemAsync ( BatchWriteItemRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.BatchWriteItemRequest Container for the necessary parameters to execute the BatchWriteItem operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

BatchWriteItemAsync() public method

The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.

BatchWriteItem cannot update items. To update items, use the UpdateItem API.

The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.

Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem will return a ProvisionedThroughputExceededException.

If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.

With BatchWriteItem, you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem does not behave in the same way as individual PutItem and DeleteItem calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.

If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem provides an alternative where the API performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.

Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.

If one or more of the following is true, DynamoDB rejects the entire batch write operation:

  • One or more tables specified in the BatchWriteItem request does not exist.

  • Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.

  • You try to perform multiple operations on the same item in the same BatchWriteItem request. For example, you cannot put and delete the same item in the same BatchWriteItem request.

  • There are more than 25 requests in the batch.

  • Any individual item in a batch exceeds 400 KB.

  • The total request size exceeds 16 MB.

/// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public BatchWriteItemAsync ( Dictionary requestItems, System cancellationToken = default(CancellationToken) ) : Task
requestItems Dictionary A map of one or more table names and, for each table, a list of operations to be performed (DeleteRequest or PutRequest). Each element in the map consists of the following:
  • DeleteRequest - Perform a DeleteItem operation on the specified item. The item to be deleted is identified by a Key subelement:
    • Key - A map of primary key attribute values that uniquely identify the ! item. Each entry in this map consists of an attribute name and an attribute value. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
  • PutRequest - Perform a PutItem operation on the specified item. The item to be put is identified by an Item subelement:
    • Item - A map of attributes and their values. Each entry in this map consists of an attribute name and an attribute value. Attribute values must not be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests that contain empty values will be rejected with a ValidationException exception. If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

BeginBatchGetItem() public method

Initiates the asynchronous execution of the BatchGetItem operation.
public BeginBatchGetItem ( BatchGetItemRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.BatchGetItemRequest Container for the necessary parameters to execute the BatchGetItem operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginBatchWriteItem() public method

Initiates the asynchronous execution of the BatchWriteItem operation.
public BeginBatchWriteItem ( BatchWriteItemRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.BatchWriteItemRequest Container for the necessary parameters to execute the BatchWriteItem operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginCreateTable() public method

Initiates the asynchronous execution of the CreateTable operation.
public BeginCreateTable ( CreateTableRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.CreateTableRequest Container for the necessary parameters to execute the CreateTable operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDeleteItem() public method

Initiates the asynchronous execution of the DeleteItem operation.
public BeginDeleteItem ( DeleteItemRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.DeleteItemRequest Container for the necessary parameters to execute the DeleteItem operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDeleteTable() public method

Initiates the asynchronous execution of the DeleteTable operation.
public BeginDeleteTable ( DeleteTableRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.DeleteTableRequest Container for the necessary parameters to execute the DeleteTable operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDescribeLimits() public method

Initiates the asynchronous execution of the DescribeLimits operation.
public BeginDescribeLimits ( DescribeLimitsRequest request, AsyncCallback callback, object state ) : IAsyncResult
request DescribeLimitsRequest Container for the necessary parameters to execute the DescribeLimits operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDescribeTable() public method

Initiates the asynchronous execution of the DescribeTable operation.
public BeginDescribeTable ( DescribeTableRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.DescribeTableRequest Container for the necessary parameters to execute the DescribeTable operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginGetItem() public method

Initiates the asynchronous execution of the GetItem operation.
public BeginGetItem ( GetItemRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.GetItemRequest Container for the necessary parameters to execute the GetItem operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginListTables() public method

Initiates the asynchronous execution of the ListTables operation.
public BeginListTables ( ListTablesRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.ListTablesRequest Container for the necessary parameters to execute the ListTables operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginPutItem() public method

Initiates the asynchronous execution of the PutItem operation.
public BeginPutItem ( PutItemRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.PutItemRequest Container for the necessary parameters to execute the PutItem operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginQuery() public method

Initiates the asynchronous execution of the Query operation.
public BeginQuery ( QueryRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.QueryRequest Container for the necessary parameters to execute the Query operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginScan() public method

Initiates the asynchronous execution of the Scan operation.
public BeginScan ( ScanRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.ScanRequest Container for the necessary parameters to execute the Scan operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginUpdateItem() public method

Initiates the asynchronous execution of the UpdateItem operation.
public BeginUpdateItem ( UpdateItemRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.UpdateItemRequest Container for the necessary parameters to execute the UpdateItem operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginUpdateTable() public method

Initiates the asynchronous execution of the UpdateTable operation.
public BeginUpdateTable ( UpdateTableRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.DynamoDBv2.Model.UpdateTableRequest Container for the necessary parameters to execute the UpdateTable operation on AmazonDynamoDBClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

CreateSigner() protected method

Creates the signer for the service.
protected CreateSigner ( ) : AbstractAWSSigner
return Amazon.Runtime.Internal.Auth.AbstractAWSSigner

CreateTable() public method

The CreateTable operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.

CreateTable is an asynchronous operation. Upon receiving a CreateTable request, DynamoDB immediately returns a response with a TableStatus of CREATING. After the table is created, DynamoDB sets the TableStatus to ACTIVE. You can perform read and write operations only on an ACTIVE table.

You can optionally define secondary indexes on the new table, as part of the CreateTable operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING state at any given time.

You can use the DescribeTable API to check the table status.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. ///
public CreateTable ( CreateTableRequest request ) : CreateTableResponse
request Amazon.DynamoDBv2.Model.CreateTableRequest Container for the necessary parameters to execute the CreateTable service method.
return Amazon.DynamoDBv2.Model.CreateTableResponse

CreateTable() public method

The CreateTable operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.

CreateTable is an asynchronous operation. Upon receiving a CreateTable request, DynamoDB immediately returns a response with a TableStatus of CREATING. After the table is created, DynamoDB sets the TableStatus to ACTIVE. You can perform read and write operations only on an ACTIVE table.

You can optionally define secondary indexes on the new table, as part of the CreateTable operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING state at any given time.

You can use the DescribeTable API to check the table status.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. ///
public CreateTable ( string tableName, List keySchema, List attributeDefinitions, ProvisionedThroughput provisionedThroughput ) : CreateTableResponse
tableName string The name of the table to create.
keySchema List Specifies the attributes that make up the primary key for a table or an index. The attributes in KeySchema must also be defined in the AttributeDefinitions array. For more information, see Data Model in the Amazon DynamoDB Developer Guide. Each KeySchemaElement in the array is composed of:
  • AttributeName - The name of this key attribute.
  • KeyType - The role that the key attribute will assume:
    • HASH - partition key
    • RANGE - sort key
The partition key of an item is also known as its hash attribute. The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values. The sort key of an item is also known as its range attribute. The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value. For a simple primary key (partition key), you must provide exactly one element with a KeyType of HASH. For a composite primary key (partition key and sort key), you must provide exactly two elements, in this order: The first element must have a KeyType of HASH, and the second element must have a KeyType of RANGE. For more information, see Specifying the Primary Key in the Amazon DynamoDB Developer Guide.
attributeDefinitions List An array of attributes that describe the key schema for the table and indexes.
provisionedThroughput Amazon.DynamoDBv2.Model.ProvisionedThroughput A property of CreateTableRequest used to execute the CreateTable service method.
return Amazon.DynamoDBv2.Model.CreateTableResponse

CreateTableAsync() public method

Initiates the asynchronous execution of the CreateTable operation.
public CreateTableAsync ( CreateTableRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.CreateTableRequest Container for the necessary parameters to execute the CreateTable operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateTableAsync() public method

The CreateTable operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.

CreateTable is an asynchronous operation. Upon receiving a CreateTable request, DynamoDB immediately returns a response with a TableStatus of CREATING. After the table is created, DynamoDB sets the TableStatus to ACTIVE. You can perform read and write operations only on an ACTIVE table.

You can optionally define secondary indexes on the new table, as part of the CreateTable operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING state at any given time.

You can use the DescribeTable API to check the table status.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. ///
public CreateTableAsync ( string tableName, List keySchema, List attributeDefinitions, ProvisionedThroughput provisionedThroughput, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table to create.
keySchema List Specifies the attributes that make up the primary key for a table or an index. The attributes in KeySchema must also be defined in the AttributeDefinitions array. For more information, see Data Model in the Amazon DynamoDB Developer Guide. Each KeySchemaElement in the array is composed of:
  • AttributeName - The name of this key attribute.
  • KeyType - The role that the key attribute will assume:
    • HASH - partition key
    • RANGE - sort key
The partition key of an item is also known as its hash attribute. The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values. The sort key of an item is also known as its range attribute. The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value. For a simple primary key (partition key), you must provide exactly one element with a KeyType of HASH. For a composite primary key (partition key and sort key), you must provide exactly two elements, in this order: The first element must have a KeyType of HASH, and the second element must have a KeyType of RANGE. For more information, see Specifying the Primary Key in the Amazon DynamoDB Developer Guide.
attributeDefinitions List An array of attributes that describe the key schema for the table and indexes.
provisionedThroughput Amazon.DynamoDBv2.Model.ProvisionedThroughput A property of CreateTableRequest used to execute the CreateTable service method.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CustomizeRuntimePipeline() protected method

Customize the pipeline
protected CustomizeRuntimePipeline ( RuntimePipeline pipeline ) : void
pipeline RuntimePipeline
return void

DeleteItem() public method

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DeleteItem ( DeleteItemRequest request ) : DeleteItemResponse
request Amazon.DynamoDBv2.Model.DeleteItemRequest Container for the necessary parameters to execute the DeleteItem service method.
return Amazon.DynamoDBv2.Model.DeleteItemResponse

DeleteItem() public method

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DeleteItem ( string tableName, AttributeValue>.Dictionary key ) : DeleteItemResponse
tableName string The name of the table from which to delete the item.
key AttributeValue>.Dictionary A map of attribute names to AttributeValue objects, representing the primary key of the item to delete. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
return Amazon.DynamoDBv2.Model.DeleteItemResponse

DeleteItem() public method

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DeleteItem ( string tableName, AttributeValue>.Dictionary key, ReturnValue returnValues ) : DeleteItemResponse
tableName string The name of the table from which to delete the item.
key AttributeValue>.Dictionary A map of attribute names to AttributeValue objects, representing the primary key of the item to delete. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
returnValues ReturnValue Use ReturnValues if you want to get the item attributes as they appeared before they were deleted. For DeleteItem, the valid values are:
  • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)
  • ALL_OLD - The content of the old item is returned.
The ReturnValues parameter is used by several DynamoDB operations; however, DeleteItem does not recognize any values other than NONE or ALL_OLD.
return Amazon.DynamoDBv2.Model.DeleteItemResponse

DeleteItemAsync() public method

Initiates the asynchronous execution of the DeleteItem operation.
public DeleteItemAsync ( DeleteItemRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.DeleteItemRequest Container for the necessary parameters to execute the DeleteItem operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteItemAsync() public method

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DeleteItemAsync ( string tableName, AttributeValue>.Dictionary key, ReturnValue returnValues, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table from which to delete the item.
key AttributeValue>.Dictionary A map of attribute names to AttributeValue objects, representing the primary key of the item to delete. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
returnValues ReturnValue Use ReturnValues if you want to get the item attributes as they appeared before they were deleted. For DeleteItem, the valid values are:
  • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)
  • ALL_OLD - The content of the old item is returned.
The ReturnValues parameter is used by several DynamoDB operations; however, DeleteItem does not recognize any values other than NONE or ALL_OLD.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteItemAsync() public method

Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.

In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.

Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DeleteItemAsync ( string tableName, AttributeValue>.Dictionary key, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table from which to delete the item.
key AttributeValue>.Dictionary A map of attribute names to AttributeValue objects, representing the primary key of the item to delete. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteTable() public method

The DeleteTable operation deletes a table and all of its items. After a DeleteTable request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the table is in the ACTIVE state, you can delete it. If a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException. If the specified table does not exist, DynamoDB returns a ResourceNotFoundException. If table is already in the DELETING state, no error is returned.

DynamoDB might continue to accept data read and write operations, such as GetItem and PutItem, on a table in the DELETING state until the table deletion is complete.

When you delete a table, any indexes on that table are also deleted.

If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED state, and the stream is automatically deleted after 24 hours.

Use the DescribeTable API to check the status of the table.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DeleteTable ( DeleteTableRequest request ) : DeleteTableResponse
request Amazon.DynamoDBv2.Model.DeleteTableRequest Container for the necessary parameters to execute the DeleteTable service method.
return Amazon.DynamoDBv2.Model.DeleteTableResponse

DeleteTable() public method

The DeleteTable operation deletes a table and all of its items. After a DeleteTable request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the table is in the ACTIVE state, you can delete it. If a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException. If the specified table does not exist, DynamoDB returns a ResourceNotFoundException. If table is already in the DELETING state, no error is returned.

DynamoDB might continue to accept data read and write operations, such as GetItem and PutItem, on a table in the DELETING state until the table deletion is complete.

When you delete a table, any indexes on that table are also deleted.

If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED state, and the stream is automatically deleted after 24 hours.

Use the DescribeTable API to check the status of the table.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DeleteTable ( string tableName ) : DeleteTableResponse
tableName string The name of the table to delete.
return Amazon.DynamoDBv2.Model.DeleteTableResponse

DeleteTableAsync() public method

Initiates the asynchronous execution of the DeleteTable operation.
public DeleteTableAsync ( DeleteTableRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.DeleteTableRequest Container for the necessary parameters to execute the DeleteTable operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteTableAsync() public method

The DeleteTable operation deletes a table and all of its items. After a DeleteTable request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the table is in the ACTIVE state, you can delete it. If a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException. If the specified table does not exist, DynamoDB returns a ResourceNotFoundException. If table is already in the DELETING state, no error is returned.

DynamoDB might continue to accept data read and write operations, such as GetItem and PutItem, on a table in the DELETING state until the table deletion is complete.

When you delete a table, any indexes on that table are also deleted.

If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED state, and the stream is automatically deleted after 24 hours.

Use the DescribeTable API to check the status of the table.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DeleteTableAsync ( string tableName, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table to delete.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DescribeLimits() public method

Returns the current provisioned-capacity limits for your AWS account in a region, both for the region as a whole and for any one DynamoDB table that you create there.

When you establish an AWS account, the account has initial limits on the maximum read capacity units and write capacity units that you can provision across all of your DynamoDB tables in a given region. Also, there are per-table limits that apply when you create a table there. For more information, see Limits page in the Amazon DynamoDB Developer Guide.

Although you can increase these limits by filing a case at AWS Support Center, obtaining the increase is not instantaneous. The DescribeLimits API lets you write code to compare the capacity you are currently using to those limits imposed by your account so that you have enough time to apply for an increase before you hit a limit.

For example, you could use one of the AWS SDKs to do the following:

  1. Call DescribeLimits for a particular region to obtain your current account limits on provisioned capacity there.

  2. Create a variable to hold the aggregate read capacity units provisioned for all your tables in that region, and one to hold the aggregate write capacity units. Zero them both.

  3. Call ListTables to obtain a list of all your DynamoDB tables.

  4. For each table name listed by ListTables, do the following:

    • Call DescribeTable with the table name.

    • Use the data returned by DescribeTable to add the read capacity units and write capacity units provisioned for the table itself to your variables.

    • If the table has one or more global secondary indexes (GSIs), loop over these GSIs and add their provisioned capacity values to your variables as well.

  5. Report the account limits for that region returned by DescribeLimits, along with the total current provisioned capacity levels you have calculated.

This will let you see whether you are getting close to your account-level limits.

The per-table limits apply only when you are creating a new table. They restrict the sum of the provisioned capacity of the new table itself and all its global secondary indexes.

For existing tables and their GSIs, DynamoDB will not let you increase provisioned capacity extremely rapidly, but the only upper limit that applies is that the aggregate provisioned capacity over all your tables and GSIs cannot exceed either of the per-account limits.

DescribeLimits should only be called periodically. You can expect throttling errors if you call it more than once in a minute.

The DescribeLimits Request element has no content.

/// An error occurred on the server side. ///
public DescribeLimits ( DescribeLimitsRequest request ) : DescribeLimitsResponse
request DescribeLimitsRequest Container for the necessary parameters to execute the DescribeLimits service method.
return Amazon.DynamoDBv2.Model.DescribeLimitsResponse

DescribeLimitsAsync() public method

Initiates the asynchronous execution of the DescribeLimits operation.
public DescribeLimitsAsync ( DescribeLimitsRequest request, System cancellationToken = default(CancellationToken) ) : Task
request DescribeLimitsRequest Container for the necessary parameters to execute the DescribeLimits operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DescribeTable() public method

Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.

If you issue a DescribeTable request immediately after a CreateTable request, DynamoDB might return a ResourceNotFoundException. This is because DescribeTable uses an eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a few seconds, and then try the DescribeTable request again.

/// An error occurred on the server side. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DescribeTable ( DescribeTableRequest request ) : DescribeTableResponse
request Amazon.DynamoDBv2.Model.DescribeTableRequest Container for the necessary parameters to execute the DescribeTable service method.
return Amazon.DynamoDBv2.Model.DescribeTableResponse

DescribeTable() public method

Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.

If you issue a DescribeTable request immediately after a CreateTable request, DynamoDB might return a ResourceNotFoundException. This is because DescribeTable uses an eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a few seconds, and then try the DescribeTable request again.

/// An error occurred on the server side. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DescribeTable ( string tableName ) : DescribeTableResponse
tableName string The name of the table to describe.
return Amazon.DynamoDBv2.Model.DescribeTableResponse

DescribeTableAsync() public method

Initiates the asynchronous execution of the DescribeTable operation.
public DescribeTableAsync ( DescribeTableRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.DescribeTableRequest Container for the necessary parameters to execute the DescribeTable operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DescribeTableAsync() public method

Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.

If you issue a DescribeTable request immediately after a CreateTable request, DynamoDB might return a ResourceNotFoundException. This is because DescribeTable uses an eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a few seconds, and then try the DescribeTable request again.

/// An error occurred on the server side. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public DescribeTableAsync ( string tableName, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table to describe.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

Dispose() protected method

Disposes the service client.
protected Dispose ( bool disposing ) : void
disposing bool
return void

EndBatchGetItem() public method

Finishes the asynchronous execution of the BatchGetItem operation.
public EndBatchGetItem ( IAsyncResult asyncResult ) : BatchGetItemResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginBatchGetItem.
return Amazon.DynamoDBv2.Model.BatchGetItemResponse

EndBatchWriteItem() public method

Finishes the asynchronous execution of the BatchWriteItem operation.
public EndBatchWriteItem ( IAsyncResult asyncResult ) : BatchWriteItemResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginBatchWriteItem.
return Amazon.DynamoDBv2.Model.BatchWriteItemResponse

EndCreateTable() public method

Finishes the asynchronous execution of the CreateTable operation.
public EndCreateTable ( IAsyncResult asyncResult ) : CreateTableResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginCreateTable.
return Amazon.DynamoDBv2.Model.CreateTableResponse

EndDeleteItem() public method

Finishes the asynchronous execution of the DeleteItem operation.
public EndDeleteItem ( IAsyncResult asyncResult ) : DeleteItemResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDeleteItem.
return Amazon.DynamoDBv2.Model.DeleteItemResponse

EndDeleteTable() public method

Finishes the asynchronous execution of the DeleteTable operation.
public EndDeleteTable ( IAsyncResult asyncResult ) : DeleteTableResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDeleteTable.
return Amazon.DynamoDBv2.Model.DeleteTableResponse

EndDescribeLimits() public method

Finishes the asynchronous execution of the DescribeLimits operation.
public EndDescribeLimits ( IAsyncResult asyncResult ) : DescribeLimitsResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDescribeLimits.
return Amazon.DynamoDBv2.Model.DescribeLimitsResponse

EndDescribeTable() public method

Finishes the asynchronous execution of the DescribeTable operation.
public EndDescribeTable ( IAsyncResult asyncResult ) : DescribeTableResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDescribeTable.
return Amazon.DynamoDBv2.Model.DescribeTableResponse

EndGetItem() public method

Finishes the asynchronous execution of the GetItem operation.
public EndGetItem ( IAsyncResult asyncResult ) : GetItemResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginGetItem.
return Amazon.DynamoDBv2.Model.GetItemResponse

EndListTables() public method

Finishes the asynchronous execution of the ListTables operation.
public EndListTables ( IAsyncResult asyncResult ) : ListTablesResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginListTables.
return Amazon.DynamoDBv2.Model.ListTablesResponse

EndPutItem() public method

Finishes the asynchronous execution of the PutItem operation.
public EndPutItem ( IAsyncResult asyncResult ) : PutItemResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginPutItem.
return Amazon.DynamoDBv2.Model.PutItemResponse

EndQuery() public method

Finishes the asynchronous execution of the Query operation.
public EndQuery ( IAsyncResult asyncResult ) : QueryResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginQuery.
return Amazon.DynamoDBv2.Model.QueryResponse

EndScan() public method

Finishes the asynchronous execution of the Scan operation.
public EndScan ( IAsyncResult asyncResult ) : ScanResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginScan.
return Amazon.DynamoDBv2.Model.ScanResponse

EndUpdateItem() public method

Finishes the asynchronous execution of the UpdateItem operation.
public EndUpdateItem ( IAsyncResult asyncResult ) : UpdateItemResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginUpdateItem.
return Amazon.DynamoDBv2.Model.UpdateItemResponse

EndUpdateTable() public method

Finishes the asynchronous execution of the UpdateTable operation.
public EndUpdateTable ( IAsyncResult asyncResult ) : UpdateTableResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginUpdateTable.
return Amazon.DynamoDBv2.Model.UpdateTableResponse

GetItem() public method

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public GetItem ( GetItemRequest request ) : GetItemResponse
request Amazon.DynamoDBv2.Model.GetItemRequest Container for the necessary parameters to execute the GetItem service method.
return Amazon.DynamoDBv2.Model.GetItemResponse

GetItem() public method

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public GetItem ( string tableName, AttributeValue>.Dictionary key ) : GetItemResponse
tableName string The name of the table containing the requested item.
key AttributeValue>.Dictionary A map of attribute names to AttributeValue objects, representing the primary key of the item to retrieve. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
return Amazon.DynamoDBv2.Model.GetItemResponse

GetItem() public method

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public GetItem ( string tableName, AttributeValue>.Dictionary key, bool consistentRead ) : GetItemResponse
tableName string The name of the table containing the requested item.
key AttributeValue>.Dictionary A map of attribute names to AttributeValue objects, representing the primary key of the item to retrieve. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
consistentRead bool Determines the read consistency model: If set to true, then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.
return Amazon.DynamoDBv2.Model.GetItemResponse

GetItemAsync() public method

Initiates the asynchronous execution of the GetItem operation.
public GetItemAsync ( GetItemRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.GetItemRequest Container for the necessary parameters to execute the GetItem operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetItemAsync() public method

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public GetItemAsync ( string tableName, AttributeValue>.Dictionary key, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table containing the requested item.
key AttributeValue>.Dictionary A map of attribute names to AttributeValue objects, representing the primary key of the item to retrieve. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetItemAsync() public method

The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data.

GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public GetItemAsync ( string tableName, AttributeValue>.Dictionary key, bool consistentRead, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table containing the requested item.
key AttributeValue>.Dictionary A map of attribute names to AttributeValue objects, representing the primary key of the item to retrieve. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
consistentRead bool Determines the read consistency model: If set to true, then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

ListTables() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTables ( ) : ListTablesResponse
return Amazon.DynamoDBv2.Model.ListTablesResponse

ListTables() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTables ( ListTablesRequest request ) : ListTablesResponse
request Amazon.DynamoDBv2.Model.ListTablesRequest Container for the necessary parameters to execute the ListTables service method.
return Amazon.DynamoDBv2.Model.ListTablesResponse

ListTables() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTables ( int limit ) : ListTablesResponse
limit int A maximum number of table names to return. If this parameter is not specified, the limit is 100.
return Amazon.DynamoDBv2.Model.ListTablesResponse

ListTables() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTables ( string exclusiveStartTableName ) : ListTablesResponse
exclusiveStartTableName string The first table name that this operation will evaluate. Use the value that was returned for LastEvaluatedTableName in a previous operation, so that you can obtain the next page of results.
return Amazon.DynamoDBv2.Model.ListTablesResponse

ListTables() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTables ( string exclusiveStartTableName, int limit ) : ListTablesResponse
exclusiveStartTableName string The first table name that this operation will evaluate. Use the value that was returned for LastEvaluatedTableName in a previous operation, so that you can obtain the next page of results.
limit int A maximum number of table names to return. If this parameter is not specified, the limit is 100.
return Amazon.DynamoDBv2.Model.ListTablesResponse

ListTablesAsync() public method

Initiates the asynchronous execution of the ListTables operation.
public ListTablesAsync ( ListTablesRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.ListTablesRequest Container for the necessary parameters to execute the ListTables operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

ListTablesAsync() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTablesAsync ( System cancellationToken = default(CancellationToken) ) : Task
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

ListTablesAsync() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTablesAsync ( int limit, System cancellationToken = default(CancellationToken) ) : Task
limit int A maximum number of table names to return. If this parameter is not specified, the limit is 100.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

ListTablesAsync() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTablesAsync ( string exclusiveStartTableName, System cancellationToken = default(CancellationToken) ) : Task
exclusiveStartTableName string The first table name that this operation will evaluate. Use the value that was returned for LastEvaluatedTableName in a previous operation, so that you can obtain the next page of results.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

ListTablesAsync() public method

Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
/// An error occurred on the server side. ///
public ListTablesAsync ( string exclusiveStartTableName, int limit, System cancellationToken = default(CancellationToken) ) : Task
exclusiveStartTableName string The first table name that this operation will evaluate. Use the value that was returned for LastEvaluatedTableName in a previous operation, so that you can obtain the next page of results.
limit int A maximum number of table names to return. If this parameter is not specified, the limit is 100.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

PutItem() public method

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public PutItem ( PutItemRequest request ) : PutItemResponse
request Amazon.DynamoDBv2.Model.PutItemRequest Container for the necessary parameters to execute the PutItem service method.
return Amazon.DynamoDBv2.Model.PutItemResponse

PutItem() public method

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public PutItem ( string tableName, AttributeValue>.Dictionary item ) : PutItemResponse
tableName string The name of the table to contain the item.
item AttributeValue>.Dictionary A map of attribute name/value pairs, one for each attribute. Only the primary key attributes are required; you can optionally provide other attribute name-value pairs for the item. You must provide all of the attributes for the primary key. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide both values for both the partition key and the sort key. If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition. For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide. Each element in the Item map is an AttributeValue object.
return Amazon.DynamoDBv2.Model.PutItemResponse

PutItem() public method

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public PutItem ( string tableName, AttributeValue>.Dictionary item, ReturnValue returnValues ) : PutItemResponse
tableName string The name of the table to contain the item.
item AttributeValue>.Dictionary A map of attribute name/value pairs, one for each attribute. Only the primary key attributes are required; you can optionally provide other attribute name-value pairs for the item. You must provide all of the attributes for the primary key. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide both values for both the partition key and the sort key. If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition. For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide. Each element in the Item map is an AttributeValue object.
returnValues ReturnValue Use ReturnValues if you want to get the item attributes as they appeared before they were updated with the PutItem request. For PutItem, the valid values are:
  • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)
  • ALL_OLD - If PutItem overwrote an attribute name-value pair, then the content of the old item is returned.
The ReturnValues parameter is used by several DynamoDB operations; however, PutItem does not recognize any values other than NONE or ALL_OLD.
return Amazon.DynamoDBv2.Model.PutItemResponse

PutItemAsync() public method

Initiates the asynchronous execution of the PutItem operation.
public PutItemAsync ( PutItemRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.PutItemRequest Container for the necessary parameters to execute the PutItem operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

PutItemAsync() public method

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public PutItemAsync ( string tableName, AttributeValue>.Dictionary item, ReturnValue returnValues, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table to contain the item.
item AttributeValue>.Dictionary A map of attribute name/value pairs, one for each attribute. Only the primary key attributes are required; you can optionally provide other attribute name-value pairs for the item. You must provide all of the attributes for the primary key. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide both values for both the partition key and the sort key. If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition. For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide. Each element in the Item map is an AttributeValue object.
returnValues ReturnValue Use ReturnValues if you want to get the item attributes as they appeared before they were updated with the PutItem request. For PutItem, the valid values are:
  • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)
  • ALL_OLD - If PutItem overwrote an attribute name-value pair, then the content of the old item is returned.
The ReturnValues parameter is used by several DynamoDB operations; however, PutItem does not recognize any values other than NONE or ALL_OLD.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

PutItemAsync() public method

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values.

In addition to putting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.

When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.

You can request that PutItem return either a copy of the original item (before the update) or a copy of the updated item (after the update). For more information, see the ReturnValues description below.

To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.

For more information about using this API, see Working with Items in the Amazon DynamoDB Developer Guide.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public PutItemAsync ( string tableName, AttributeValue>.Dictionary item, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table to contain the item.
item AttributeValue>.Dictionary A map of attribute name/value pairs, one for each attribute. Only the primary key attributes are required; you can optionally provide other attribute name-value pairs for the item. You must provide all of the attributes for the primary key. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide both values for both the partition key and the sort key. If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition. For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide. Each element in the Item map is an AttributeValue object.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

Query() public method

A Query operation uses the primary key of a table or a secondary index to directly access items from that table or index.

Use the KeyConditionExpression parameter to provide a specific value for the partition key. The Query operation will return all of the items from the table or index with that partition key value. You can optionally narrow the scope of the Query operation by specifying a sort key value and a comparison operator in KeyConditionExpression. You can use the ScanIndexForward parameter to get results in forward or reverse order, by sort key.

Queries that do not return results consume the minimum number of read capacity units for that type of read operation.

If the total number of items meeting the query criteria exceeds the result set size limit of 1 MB, the query stops and results are returned to the user with the LastEvaluatedKey element to continue the query in a subsequent operation. Unlike a Scan operation, a Query operation never returns both an empty result set and a LastEvaluatedKey value. LastEvaluatedKey is only provided if you have used the Limit parameter, or if the result set exceeds 1 MB (prior to applying a filter).

You can query a table, a local secondary index, or a global secondary index. For a query on a table or on a local secondary index, you can set the ConsistentRead parameter to true and obtain a strongly consistent result. Global secondary indexes support eventually consistent reads only, so do not specify ConsistentRead when querying a global secondary index.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public Query ( QueryRequest request ) : QueryResponse
request Amazon.DynamoDBv2.Model.QueryRequest Container for the necessary parameters to execute the Query service method.
return Amazon.DynamoDBv2.Model.QueryResponse

QueryAsync() public method

Initiates the asynchronous execution of the Query operation.
public QueryAsync ( QueryRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.QueryRequest Container for the necessary parameters to execute the Query operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

Scan() public method

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public Scan ( ScanRequest request ) : ScanResponse
request Amazon.DynamoDBv2.Model.ScanRequest Container for the necessary parameters to execute the Scan service method.
return Amazon.DynamoDBv2.Model.ScanResponse

Scan() public method

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public Scan ( string tableName, Condition>.Dictionary scanFilter ) : ScanResponse
tableName string The name of the table containing the requested items; or, if you provide IndexName, the name of the table to which that index belongs.
scanFilter Condition>.Dictionary This is a legacy parameter, for backward compatibility. New applications should use FilterExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. A condition that evaluates the scan results and returns only the desired values. This parameter does not support attributes of type List or Map. If you specify more than one condition in the ScanFilter map, then by default all of the conditions must evaluate to true. In other words, the conditions are ANDed together. (You can use the ConditionalOperator parameter to OR the conditions instead. If you do this, then at least one of the conditions must evaluate to true, rather than all of them.) Each ScanFilter element consists of an attribute name to compare, along with the following:
  • AttributeValueList - One or more values to evaluate against the supplied attribute. The number of values in the list depends on the operator specified in ComparisonOperator . For type Number, value comparisons are numeric. String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A, and a is greater than B. For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters. For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values. For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide.
  • ComparisonOperator - A comparator for evaluating attributes. For example, equals, greater than, less than, etc. The following comparison operators are available: EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN For complete descriptions of all comparison operators, see Condition.
return Amazon.DynamoDBv2.Model.ScanResponse

Scan() public method

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public Scan ( string tableName, List attributesToGet ) : ScanResponse
tableName string The name of the table containing the requested items; or, if you provide IndexName, the name of the table to which that index belongs.
attributesToGet List This is a legacy parameter, for backward compatibility. New applications should use ProjectionExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter allows you to retrieve attributes of type List or Map; however, it cannot retrieve individual elements within a List or a Map. The names of one or more attributes to retrieve. If no attribute names are provided, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. Note that AttributesToGet has no effect on provisioned throughput consumption. DynamoDB determines capacity units consumed based on item size, not on the amount of data that is returned to an application.
return Amazon.DynamoDBv2.Model.ScanResponse

Scan() public method

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public Scan ( string tableName, List attributesToGet, Condition>.Dictionary scanFilter ) : ScanResponse
tableName string The name of the table containing the requested items; or, if you provide IndexName, the name of the table to which that index belongs.
attributesToGet List This is a legacy parameter, for backward compatibility. New applications should use ProjectionExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter allows you to retrieve attributes of type List or Map; however, it cannot retrieve individual elements within a List or a Map. The names of one or more attributes to retrieve. If no attribute names are provided, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. Note that AttributesToGet has no effect on provisioned throughput consumption. DynamoDB determines capacity units consumed based on item size, not on the amount of data that is returned to an application.
scanFilter Condition>.Dictionary This is a legacy parameter, for backward compatibility. New applications should use FilterExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. A condition that evaluates the scan results and returns only the desired values. This parameter does not support attributes of type List or Map. If you specify more than one condition in the ScanFilter map, then by default all of the conditions must evaluate to true. In other words, the conditions are ANDed together. (You can use the ConditionalOperator parameter to OR the conditions instead. If you do this, then at least one of the conditions must evaluate to true, rather than all of them.) Each ScanFilter element consists of an attribute name to compare, along with the following:
  • AttributeValueList - One or more values to evaluate against the supplied attribute. The number of values in the list depends on the operator specified in ComparisonOperator . For type Number, value comparisons are numeric. String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A, and a is greater than B. For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters. For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values. For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide.
  • ComparisonOperator - A comparator for evaluating attributes. For example, equals, greater than, less than, etc. The following comparison operators are available: EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN For complete descriptions of all comparison operators, see Condition.
return Amazon.DynamoDBv2.Model.ScanResponse

ScanAsync() public method

Initiates the asynchronous execution of the Scan operation.
public ScanAsync ( ScanRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.ScanRequest Container for the necessary parameters to execute the Scan operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

ScanAsync() public method

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public ScanAsync ( string tableName, Condition>.Dictionary scanFilter, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table containing the requested items; or, if you provide IndexName, the name of the table to which that index belongs.
scanFilter Condition>.Dictionary This is a legacy parameter, for backward compatibility. New applications should use FilterExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. A condition that evaluates the scan results and returns only the desired values. This parameter does not support attributes of type List or Map. If you specify more than one condition in the ScanFilter map, then by default all of the conditions must evaluate to true. In other words, the conditions are ANDed together. (You can use the ConditionalOperator parameter to OR the conditions instead. If you do this, then at least one of the conditions must evaluate to true, rather than all of them.) Each ScanFilter element consists of an attribute name to compare, along with the following:
  • AttributeValueList - One or more values to evaluate against the supplied attribute. The number of values in the list depends on the operator specified in ComparisonOperator . For type Number, value comparisons are numeric. String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A, and a is greater than B. For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters. For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values. For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide.
  • ComparisonOperator - A comparator for evaluating attributes. For example, equals, greater than, less than, etc. The following comparison operators are available: EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN For complete descriptions of all comparison operators, see Condition.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

ScanAsync() public method

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public ScanAsync ( string tableName, List attributesToGet, Condition>.Dictionary scanFilter, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table containing the requested items; or, if you provide IndexName, the name of the table to which that index belongs.
attributesToGet List This is a legacy parameter, for backward compatibility. New applications should use ProjectionExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter allows you to retrieve attributes of type List or Map; however, it cannot retrieve individual elements within a List or a Map. The names of one or more attributes to retrieve. If no attribute names are provided, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. Note that AttributesToGet has no effect on provisioned throughput consumption. DynamoDB determines capacity units consumed based on item size, not on the amount of data that is returned to an application.
scanFilter Condition>.Dictionary This is a legacy parameter, for backward compatibility. New applications should use FilterExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. A condition that evaluates the scan results and returns only the desired values. This parameter does not support attributes of type List or Map. If you specify more than one condition in the ScanFilter map, then by default all of the conditions must evaluate to true. In other words, the conditions are ANDed together. (You can use the ConditionalOperator parameter to OR the conditions instead. If you do this, then at least one of the conditions must evaluate to true, rather than all of them.) Each ScanFilter element consists of an attribute name to compare, along with the following:
  • AttributeValueList - One or more values to evaluate against the supplied attribute. The number of values in the list depends on the operator specified in ComparisonOperator . For type Number, value comparisons are numeric. String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A, and a is greater than B. For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters. For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values. For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide.
  • ComparisonOperator - A comparator for evaluating attributes. For example, equals, greater than, less than, etc. The following comparison operators are available: EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN For complete descriptions of all comparison operators, see Condition.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

ScanAsync() public method

The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a ScanFilter operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

By default, Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

By default, Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

/// An error occurred on the server side. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public ScanAsync ( string tableName, List attributesToGet, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table containing the requested items; or, if you provide IndexName, the name of the table to which that index belongs.
attributesToGet List This is a legacy parameter, for backward compatibility. New applications should use ProjectionExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter allows you to retrieve attributes of type List or Map; however, it cannot retrieve individual elements within a List or a Map. The names of one or more attributes to retrieve. If no attribute names are provided, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result. Note that AttributesToGet has no effect on provisioned throughput consumption. DynamoDB determines capacity units consumed based on item size, not on the amount of data that is returned to an application.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateItem() public method

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public UpdateItem ( UpdateItemRequest request ) : UpdateItemResponse
request Amazon.DynamoDBv2.Model.UpdateItemRequest Container for the necessary parameters to execute the UpdateItem service method.
return Amazon.DynamoDBv2.Model.UpdateItemResponse

UpdateItem() public method

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public UpdateItem ( string tableName, AttributeValue>.Dictionary key, AttributeValueUpdate>.Dictionary attributeUpdates ) : UpdateItemResponse
tableName string The name of the table containing the item to update.
key AttributeValue>.Dictionary The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
attributeUpdates AttributeValueUpdate>.Dictionary This is a legacy parameter, for backward compatibility. New applications should use UpdateExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter can be used for modifying top-level attributes; however, it does not support individual list or map elements. The names of attributes to be modified, the action to perform on each, and the new value for each. If you are updating an attribute that is an index key attribute for any indexes on that table, the attribute type must match the index key type defined in the AttributesDefinition of the table description. You can use UpdateItem to update any non-key attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes must not be empty. Requests with empty values will be rejected with a ValidationException exception. Each AttributeUpdates element consists of an attribute name to modify, along with the following:
  • Value - The new value, if applicable, for this attribute.
  • Action - A value that specifies how to perform the update. This action is only valid for an existing attribute whose data type is Number or is a set; do not use ADD for other data types. If an item with the specified primary key is found in the table, the following values perform the following actions:
    • PUT - Adds the specified attribute to the item. If the attribute already exists, it is replaced by the new value.
    • DELETE - Removes the attribute and its value, if no value is specified for DELETE. The data type of the specified value must match the existing value's data type. If a set of values is specified, then those values are subtracted from the old set. For example, if the attribute value was the set [a,b,c] and the DELETE action specifies [a,c], then the final attribute value is [b]. Specifying an empty set is an error.
    • ADD - Adds the specified value to the item, if the attribute does not already exist. If the attribute does exist, then the behavior of ADD depends on the data type of the attribute:
      • If the existing attribute is a number, and if Value is also a number, then Value is mathematically added to the existing attribute. If Value is a negative number, then it is subtracted from the existing attribute. If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value. Similarly, if you use ADD for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount, but you decide to ADD the number 3 to this attribute anyway. DynamoDB will create the itemcount attribute, set its initial value to 0, and finally add 3 to it. The result will be a new itemcount attribute, with a value of 3.
      • If the existing data type is a set, and if Value is also a set, then Value is appended to the existing set. For example, if the attribute value is the set [1,2], and the ADD action specified [3], then the final attribute value is [1,2,3]. An error occurs if an ADD action is specified for a set attribute and the attribute type specified does not match the existing set type. Both sets must have the same primitive data type. For example, if the existing data type is a set of strings, Value must also be a set of strings.
    If no item with the specified key is found in the table, the following values perform the following actions:
    • PUT - Causes DynamoDB to create a new item with the specified primary key, and then adds the attribute.
    • DELETE - Nothing happens, because attributes cannot be deleted from a nonexistent item. The operation succeeds, but DynamoDB does not create a new item.
    • ADD - Causes DynamoDB to create an item with the supplied primary key and number (or set of numbers) for the attribute value. The only data types allowed are Number and Number Set.
If you provide any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
return Amazon.DynamoDBv2.Model.UpdateItemResponse

UpdateItem() public method

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public UpdateItem ( string tableName, AttributeValue>.Dictionary key, AttributeValueUpdate>.Dictionary attributeUpdates, ReturnValue returnValues ) : UpdateItemResponse
tableName string The name of the table containing the item to update.
key AttributeValue>.Dictionary The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
attributeUpdates AttributeValueUpdate>.Dictionary This is a legacy parameter, for backward compatibility. New applications should use UpdateExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter can be used for modifying top-level attributes; however, it does not support individual list or map elements. The names of attributes to be modified, the action to perform on each, and the new value for each. If you are updating an attribute that is an index key attribute for any indexes on that table, the attribute type must match the index key type defined in the AttributesDefinition of the table description. You can use UpdateItem to update any non-key attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes must not be empty. Requests with empty values will be rejected with a ValidationException exception. Each AttributeUpdates element consists of an attribute name to modify, along with the following:
  • Value - The new value, if applicable, for this attribute.
  • Action - A value that specifies how to perform the update. This action is only valid for an existing attribute whose data type is Number or is a set; do not use ADD for other data types. If an item with the specified primary key is found in the table, the following values perform the following actions:
    • PUT - Adds the specified attribute to the item. If the attribute already exists, it is replaced by the new value.
    • DELETE - Removes the attribute and its value, if no value is specified for DELETE. The data type of the specified value must match the existing value's data type. If a set of values is specified, then those values are subtracted from the old set. For example, if the attribute value was the set [a,b,c] and the DELETE action specifies [a,c], then the final attribute value is [b]. Specifying an empty set is an error.
    • ADD - Adds the specified value to the item, if the attribute does not already exist. If the attribute does exist, then the behavior of ADD depends on the data type of the attribute:
      • If the existing attribute is a number, and if Value is also a number, then Value is mathematically added to the existing attribute. If Value is a negative number, then it is subtracted from the existing attribute. If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value. Similarly, if you use ADD for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount, but you decide to ADD the number 3 to this attribute anyway. DynamoDB will create the itemcount attribute, set its initial value to 0, and finally add 3 to it. The result will be a new itemcount attribute, with a value of 3.
      • If the existing data type is a set, and if Value is also a set, then Value is appended to the existing set. For example, if the attribute value is the set [1,2], and the ADD action specified [3], then the final attribute value is [1,2,3]. An error occurs if an ADD action is specified for a set attribute and the attribute type specified does not match the existing set type. Both sets must have the same primitive data type. For example, if the existing data type is a set of strings, Value must also be a set of strings.
    If no item with the specified key is found in the table, the following values perform the following actions:
    • PUT - Causes DynamoDB to create a new item with the specified primary key, and then adds the attribute.
    • DELETE - Nothing happens, because attributes cannot be deleted from a nonexistent item. The operation succeeds, but DynamoDB does not create a new item.
    • ADD - Causes DynamoDB to create an item with the supplied primary key and number (or set of numbers) for the attribute value. The only data types allowed are Number and Number Set.
If you provide any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
returnValues ReturnValue Use ReturnValues if you want to get the item attributes as they appeared either before or after they were updated. For UpdateItem, the valid values are:
  • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)
  • ALL_OLD - If UpdateItem overwrote an attribute name-value pair, then the content of the old item is returned.
  • UPDATED_OLD - The old versions of only the updated attributes are returned.
  • ALL_NEW - All of the attributes of the new version of the item are returned.
  • UPDATED_NEW - The new versions of only the updated attributes are returned.
There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No Read Capacity Units are consumed. Values returned are strongly consistent
return Amazon.DynamoDBv2.Model.UpdateItemResponse

UpdateItemAsync() public method

Initiates the asynchronous execution of the UpdateItem operation.
public UpdateItemAsync ( UpdateItemRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.UpdateItemRequest Container for the necessary parameters to execute the UpdateItem operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateItemAsync() public method

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public UpdateItemAsync ( string tableName, AttributeValue>.Dictionary key, AttributeValueUpdate>.Dictionary attributeUpdates, ReturnValue returnValues, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table containing the item to update.
key AttributeValue>.Dictionary The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
attributeUpdates AttributeValueUpdate>.Dictionary This is a legacy parameter, for backward compatibility. New applications should use UpdateExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter can be used for modifying top-level attributes; however, it does not support individual list or map elements. The names of attributes to be modified, the action to perform on each, and the new value for each. If you are updating an attribute that is an index key attribute for any indexes on that table, the attribute type must match the index key type defined in the AttributesDefinition of the table description. You can use UpdateItem to update any non-key attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes must not be empty. Requests with empty values will be rejected with a ValidationException exception. Each AttributeUpdates element consists of an attribute name to modify, along with the following:
  • Value - The new value, if applicable, for this attribute.
  • Action - A value that specifies how to perform the update. This action is only valid for an existing attribute whose data type is Number or is a set; do not use ADD for other data types. If an item with the specified primary key is found in the table, the following values perform the following actions:
    • PUT - Adds the specified attribute to the item. If the attribute already exists, it is replaced by the new value.
    • DELETE - Removes the attribute and its value, if no value is specified for DELETE. The data type of the specified value must match the existing value's data type. If a set of values is specified, then those values are subtracted from the old set. For example, if the attribute value was the set [a,b,c] and the DELETE action specifies [a,c], then the final attribute value is [b]. Specifying an empty set is an error.
    • ADD - Adds the specified value to the item, if the attribute does not already exist. If the attribute does exist, then the behavior of ADD depends on the data type of the attribute:
      • If the existing attribute is a number, and if Value is also a number, then Value is mathematically added to the existing attribute. If Value is a negative number, then it is subtracted from the existing attribute. If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value. Similarly, if you use ADD for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount, but you decide to ADD the number 3 to this attribute anyway. DynamoDB will create the itemcount attribute, set its initial value to 0, and finally add 3 to it. The result will be a new itemcount attribute, with a value of 3.
      • If the existing data type is a set, and if Value is also a set, then Value is appended to the existing set. For example, if the attribute value is the set [1,2], and the ADD action specified [3], then the final attribute value is [1,2,3]. An error occurs if an ADD action is specified for a set attribute and the attribute type specified does not match the existing set type. Both sets must have the same primitive data type. For example, if the existing data type is a set of strings, Value must also be a set of strings.
    If no item with the specified key is found in the table, the following values perform the following actions:
    • PUT - Causes DynamoDB to create a new item with the specified primary key, and then adds the attribute.
    • DELETE - Nothing happens, because attributes cannot be deleted from a nonexistent item. The operation succeeds, but DynamoDB does not create a new item.
    • ADD - Causes DynamoDB to create an item with the supplied primary key and number (or set of numbers) for the attribute value. The only data types allowed are Number and Number Set.
If you provide any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
returnValues ReturnValue Use ReturnValues if you want to get the item attributes as they appeared either before or after they were updated. For UpdateItem, the valid values are:
  • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)
  • ALL_OLD - If UpdateItem overwrote an attribute name-value pair, then the content of the old item is returned.
  • UPDATED_OLD - The old versions of only the updated attributes are returned.
  • ALL_NEW - All of the attributes of the new version of the item are returned.
  • UPDATED_NEW - The new versions of only the updated attributes are returned.
There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No Read Capacity Units are consumed. Values returned are strongly consistent
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateItemAsync() public method

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

/// A condition specified in the operation could not be evaluated. /// /// An error occurred on the server side. /// /// An item collection is too large. This exception is only returned for tables that have /// one or more local secondary indexes. /// /// Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests /// that receive this exception. Your request is eventually successful, unless your retry /// queue is too large to finish. Reduce the frequency of requests and use exponential /// backoff. For more information, go to Error /// Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public UpdateItemAsync ( string tableName, AttributeValue>.Dictionary key, AttributeValueUpdate>.Dictionary attributeUpdates, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table containing the item to update.
key AttributeValue>.Dictionary The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute. For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
attributeUpdates AttributeValueUpdate>.Dictionary This is a legacy parameter, for backward compatibility. New applications should use UpdateExpression instead. Do not combine legacy parameters and expression parameters in a single API call; otherwise, DynamoDB will return a ValidationException exception. This parameter can be used for modifying top-level attributes; however, it does not support individual list or map elements. The names of attributes to be modified, the action to perform on each, and the new value for each. If you are updating an attribute that is an index key attribute for any indexes on that table, the attribute type must match the index key type defined in the AttributesDefinition of the table description. You can use UpdateItem to update any non-key attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes must not be empty. Requests with empty values will be rejected with a ValidationException exception. Each AttributeUpdates element consists of an attribute name to modify, along with the following:
  • Value - The new value, if applicable, for this attribute.
  • Action - A value that specifies how to perform the update. This action is only valid for an existing attribute whose data type is Number or is a set; do not use ADD for other data types. If an item with the specified primary key is found in the table, the following values perform the following actions:
    • PUT - Adds the specified attribute to the item. If the attribute already exists, it is replaced by the new value.
    • DELETE - Removes the attribute and its value, if no value is specified for DELETE. The data type of the specified value must match the existing value's data type. If a set of values is specified, then those values are subtracted from the old set. For example, if the attribute value was the set [a,b,c] and the DELETE action specifies [a,c], then the final attribute value is [b]. Specifying an empty set is an error.
    • ADD - Adds the specified value to the item, if the attribute does not already exist. If the attribute does exist, then the behavior of ADD depends on the data type of the attribute:
      • If the existing attribute is a number, and if Value is also a number, then Value is mathematically added to the existing attribute. If Value is a negative number, then it is subtracted from the existing attribute. If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value. Similarly, if you use ADD for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount, but you decide to ADD the number 3 to this attribute anyway. DynamoDB will create the itemcount attribute, set its initial value to 0, and finally add 3 to it. The result will be a new itemcount attribute, with a value of 3.
      • If the existing data type is a set, and if Value is also a set, then Value is appended to the existing set. For example, if the attribute value is the set [1,2], and the ADD action specified [3], then the final attribute value is [1,2,3]. An error occurs if an ADD action is specified for a set attribute and the attribute type specified does not match the existing set type. Both sets must have the same primitive data type. For example, if the existing data type is a set of strings, Value must also be a set of strings.
    If no item with the specified key is found in the table, the following values perform the following actions:
    • PUT - Causes DynamoDB to create a new item with the specified primary key, and then adds the attribute.
    • DELETE - Nothing happens, because attributes cannot be deleted from a nonexistent item. The operation succeeds, but DynamoDB does not create a new item.
    • ADD - Causes DynamoDB to create an item with the supplied primary key and number (or set of numbers) for the attribute value. The only data types allowed are Number and Number Set.
If you provide any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateTable() public method

Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.

You can only perform one of the following operations at once:

  • Modify the provisioned throughput settings of the table.

  • Enable or disable Streams on the table.

  • Remove a global secondary index from the table.

  • Create a new global secondary index on the table. Once the index begins backfilling, you can use UpdateTable to perform other operations.

UpdateTable is an asynchronous operation; while it is executing, the table status changes from ACTIVE to UPDATING. While it is UPDATING, you cannot issue another UpdateTable request. When the table returns to the ACTIVE state, the UpdateTable operation is complete.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public UpdateTable ( UpdateTableRequest request ) : UpdateTableResponse
request Amazon.DynamoDBv2.Model.UpdateTableRequest Container for the necessary parameters to execute the UpdateTable service method.
return Amazon.DynamoDBv2.Model.UpdateTableResponse

UpdateTable() public method

Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.

You can only perform one of the following operations at once:

  • Modify the provisioned throughput settings of the table.

  • Enable or disable Streams on the table.

  • Remove a global secondary index from the table.

  • Create a new global secondary index on the table. Once the index begins backfilling, you can use UpdateTable to perform other operations.

UpdateTable is an asynchronous operation; while it is executing, the table status changes from ACTIVE to UPDATING. While it is UPDATING, you cannot issue another UpdateTable request. When the table returns to the ACTIVE state, the UpdateTable operation is complete.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public UpdateTable ( string tableName, ProvisionedThroughput provisionedThroughput ) : UpdateTableResponse
tableName string The name of the table to be updated.
provisionedThroughput Amazon.DynamoDBv2.Model.ProvisionedThroughput A property of UpdateTableRequest used to execute the UpdateTable service method.
return Amazon.DynamoDBv2.Model.UpdateTableResponse

UpdateTableAsync() public method

Initiates the asynchronous execution of the UpdateTable operation.
public UpdateTableAsync ( UpdateTableRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.DynamoDBv2.Model.UpdateTableRequest Container for the necessary parameters to execute the UpdateTable operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateTableAsync() public method

Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.

You can only perform one of the following operations at once:

  • Modify the provisioned throughput settings of the table.

  • Enable or disable Streams on the table.

  • Remove a global secondary index from the table.

  • Create a new global secondary index on the table. Once the index begins backfilling, you can use UpdateTable to perform other operations.

UpdateTable is an asynchronous operation; while it is executing, the table status changes from ACTIVE to UPDATING. While it is UPDATING, you cannot issue another UpdateTable request. When the table returns to the ACTIVE state, the UpdateTable operation is complete.

/// An error occurred on the server side. /// /// The number of concurrent table requests (cumulative number of tables in the CREATING, /// DELETING or UPDATING state) exceeds the maximum allowed /// of 10. /// /// /// /// Also, for tables with secondary indexes, only one of those tables can be in the CREATING /// state at any point in time. Do not attempt to create more than one such table simultaneously. /// /// /// /// The total limit of tables in the ACTIVE state is 250. /// /// /// The operation conflicts with the resource's availability. For example, you attempted /// to recreate an existing table, or tried to delete a table currently in the CREATING /// state. /// /// The operation tried to access a nonexistent table or index. The resource might not /// be specified correctly, or its status might not be ACTIVE. ///
public UpdateTableAsync ( string tableName, ProvisionedThroughput provisionedThroughput, System cancellationToken = default(CancellationToken) ) : Task
tableName string The name of the table to be updated.
provisionedThroughput Amazon.DynamoDBv2.Model.ProvisionedThroughput A property of UpdateTableRequest used to execute the UpdateTable service method.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task