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For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide. Reduce the frequency of requests and use exponential backoff. Your request is eventually successful, unless your retry queue is too large The Amazon Web Services SDKs for DynamoDB automatically retry requests Throws: ProvisionedThroughputExceededException - Your request rate is too high. Returns: Result of the BatchGetItem operation returned by the service. Specified by: batchGetItem in interface AmazonDynamoDB Parameters: batchGetItemRequest - Represents the input of a BatchGetItem operation. For more information, see Working with Tables in the Amazon DynamoDB Developer Guide. Minimum read capacity units according to the type of read.
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Requests for nonexistent items consume the If a requested item does not exist, it is not returned in the result. Help parse the response by item, include the primary key values for the items in your request in the When designing your application, keep in mind that DynamoDB does not return items in any particular order. In order to minimize response latency, BatchGetItem retrieves items in parallel. Want strongly consistent reads instead, you can set ConsistentRead to true for any or Operations and Error Handling in the Amazon DynamoDB Developer Guide.īy default, BatchGetItem performs eventually consistent reads on every table in the request. You delay the batch operation using exponential backoff, the individual requests in the batch are much more Immediately, the underlying read or write requests can still fail due to throttling on the individual tables. Strongly recommend that you use an exponential backoff algorithm. If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. Successfully, while returning the keys of the unread items in UnprocessedKeys. IfĪt least one of the items is successfully processed, then BatchGetItem completes The request, then BatchGetItem returns a ProvisionedThroughputExceededException. If none of the items can be processed due to insufficient provisioned throughput on all of the tables in If desired, your application can include its own logic to assemble the It also returns an appropriate UnprocessedKeys value so Items (so as not to exceed the 16 MB limit). Message "Too many items requested for the BatchGetItem call."įor example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 If you request more than 100 items, BatchGetItem returns a ValidationException with the You can use this value to retry the operation The operation returns a value for UnprocessedKeys. Provisioned throughput is exceeded, or an internal processing failure occurs. YouĪ single operation can retrieve up to 16 MB of data, which can contain as many as 100 items.īatchGetItem returns a partial result if the response size limit is exceeded, the table's The BatchGetItem operation returns the attributes of one or more items from one or more tables. Services Region, providing built-in high availability and data durability. Stored on solid state disks (SSDs) and automatically replicated across multiple Availability Zones in an Amazon Web Your throughput and storage requirements, while maintaining consistent and fast performance. You can scale up or scale down your tables' throughput capacity without downtime or performanceĭegradation, and use the Amazon Web Services Management Console to monitor resource utilization and performanceĭynamoDB automatically spreads the data and traffic for your tables over a sufficient number of servers to handle
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With DynamoDB, you can create database tables that can store and retrieve any amount of data, and serve any level of
#AMAZONDYNAMODBCLIENTBUILDER LOCAL DYNAMODB SOFTWARE#
DynamoDB lets you offload the administrative burdens of operating and scaling a distributedĭatabase, so that you don't have to worry about hardware provisioning, setup and configuration, replication, software All service calls made using this client are blocking, and will not return until theĪmazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with