AmazonDynamoDB (AWS SDK for Java

All Known Subinterfaces:

AmazonDynamoDBAsync

All Known Implementing Classes:

AbstractAmazonDynamoDB, AbstractAmazonDynamoDBAsync, AmazonDynamoDBAsyncClient, AmazonDynamoDBClient
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public interface AmazonDynamoDB
```
Interface for accessing DynamoDB.
Note: Do not directly implement this interface, new methods are added to it regularly. Extend from AbstractAmazonDynamoDB instead.

Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. DynamoDB lets you offload the administrative burdens of operating and scaling a distributed database, so that you don't have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling.

With DynamoDB, you can create database tables that can store and retrieve any amount of data, and serve any level of request traffic. You can scale up or scale down your tables' throughput capacity without downtime or performance degradation, and use the Amazon Web Services Management Console to monitor resource utilization and performance metrics.

DynamoDB automatically spreads the data and traffic for your tables over a sufficient number of servers to handle your throughput and storage requirements, while maintaining consistent and fast performance. All of your data is stored on solid state disks (SSDs) and automatically replicated across multiple Availability Zones in an Amazon Web Services Region, providing built-in high availability and data durability.

Field Summary

Fields
Modifier and Type Field and Description

static String ENDPOINT_PREFIX
The region metadata service name for computing region endpoints.

Fields
Modifier and Type	Field and Description
`static String`	`ENDPOINT_PREFIX` The region metadata service name for computing region endpoints.

Method Summary

All Methods Instance Methods Abstract Methods Deprecated Methods
Modifier and Type	Method and Description
`BatchExecuteStatementResult`	`batchExecuteStatement(BatchExecuteStatementRequest batchExecuteStatementRequest)` This operation allows you to perform batch reads or writes on data stored in DynamoDB, using PartiQL.
`BatchGetItemResult`	`batchGetItem(BatchGetItemRequest batchGetItemRequest)` The `BatchGetItem` operation returns the attributes of one or more items from one or more tables.
`BatchGetItemResult`	`batchGetItem(Map<String,KeysAndAttributes> requestItems)` Simplified method form for invoking the BatchGetItem operation.
`BatchGetItemResult`	`batchGetItem(Map<String,KeysAndAttributes> requestItems, String returnConsumedCapacity)` Simplified method form for invoking the BatchGetItem operation.
`BatchWriteItemResult`	`batchWriteItem(BatchWriteItemRequest batchWriteItemRequest)` The `BatchWriteItem` operation puts or deletes multiple items in one or more tables.
`BatchWriteItemResult`	`batchWriteItem(Map<String,List<WriteRequest>> requestItems)` Simplified method form for invoking the BatchWriteItem operation.
`CreateBackupResult`	`createBackup(CreateBackupRequest createBackupRequest)` Creates a backup for an existing table.
`CreateGlobalTableResult`	`createGlobalTable(CreateGlobalTableRequest createGlobalTableRequest)` Creates a global table from an existing table.
`CreateTableResult`	`createTable(CreateTableRequest createTableRequest)` The `CreateTable` operation adds a new table to your account.
`CreateTableResult`	`createTable(List<AttributeDefinition> attributeDefinitions, String tableName, List<KeySchemaElement> keySchema, ProvisionedThroughput provisionedThroughput)` Simplified method form for invoking the CreateTable operation.
`DeleteBackupResult`	`deleteBackup(DeleteBackupRequest deleteBackupRequest)` Deletes an existing backup of a table.
`DeleteItemResult`	`deleteItem(DeleteItemRequest deleteItemRequest)` Deletes a single item in a table by primary key.
`DeleteItemResult`	`deleteItem(String tableName, Map<String,AttributeValue> key)` Simplified method form for invoking the DeleteItem operation.
`DeleteItemResult`	`deleteItem(String tableName, Map<String,AttributeValue> key, String returnValues)` Simplified method form for invoking the DeleteItem operation.
`DeleteTableResult`	`deleteTable(DeleteTableRequest deleteTableRequest)` The `DeleteTable` operation deletes a table and all of its items.
`DeleteTableResult`	`deleteTable(String tableName)` Simplified method form for invoking the DeleteTable operation.
`DescribeBackupResult`	`describeBackup(DescribeBackupRequest describeBackupRequest)` Describes an existing backup of a table.
`DescribeContinuousBackupsResult`	`describeContinuousBackups(DescribeContinuousBackupsRequest describeContinuousBackupsRequest)` Checks the status of continuous backups and point in time recovery on the specified table.
`DescribeContributorInsightsResult`	`describeContributorInsights(DescribeContributorInsightsRequest describeContributorInsightsRequest)` Returns information about contributor insights for a given table or global secondary index.
`DescribeEndpointsResult`	`describeEndpoints(DescribeEndpointsRequest describeEndpointsRequest)` Returns the regional endpoint information.
`DescribeExportResult`	`describeExport(DescribeExportRequest describeExportRequest)` Describes an existing table export.
`DescribeGlobalTableResult`	`describeGlobalTable(DescribeGlobalTableRequest describeGlobalTableRequest)` Returns information about the specified global table.
`DescribeGlobalTableSettingsResult`	`describeGlobalTableSettings(DescribeGlobalTableSettingsRequest describeGlobalTableSettingsRequest)` Describes Region-specific settings for a global table.
`DescribeImportResult`	`describeImport(DescribeImportRequest describeImportRequest)` Represents the properties of the import.
`DescribeKinesisStreamingDestinationResult`	`describeKinesisStreamingDestination(DescribeKinesisStreamingDestinationRequest describeKinesisStreamingDestinationRequest)` Returns information about the status of Kinesis streaming.
`DescribeLimitsResult`	`describeLimits(DescribeLimitsRequest describeLimitsRequest)` Returns the current provisioned-capacity quotas for your Amazon Web Services account in a Region, both for the Region as a whole and for any one DynamoDB table that you create there.
`DescribeTableResult`	`describeTable(DescribeTableRequest describeTableRequest)` 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.
`DescribeTableResult`	`describeTable(String tableName)` Simplified method form for invoking the DescribeTable operation.
`DescribeTableReplicaAutoScalingResult`	`describeTableReplicaAutoScaling(DescribeTableReplicaAutoScalingRequest describeTableReplicaAutoScalingRequest)` Describes auto scaling settings across replicas of the global table at once.
`DescribeTimeToLiveResult`	`describeTimeToLive(DescribeTimeToLiveRequest describeTimeToLiveRequest)` Gives a description of the Time to Live (TTL) status on the specified table.
`DisableKinesisStreamingDestinationResult`	`disableKinesisStreamingDestination(DisableKinesisStreamingDestinationRequest disableKinesisStreamingDestinationRequest)` Stops replication from the DynamoDB table to the Kinesis data stream.
`EnableKinesisStreamingDestinationResult`	`enableKinesisStreamingDestination(EnableKinesisStreamingDestinationRequest enableKinesisStreamingDestinationRequest)` Starts table data replication to the specified Kinesis data stream at a timestamp chosen during the enable workflow.
`ExecuteStatementResult`	`executeStatement(ExecuteStatementRequest executeStatementRequest)` This operation allows you to perform reads and singleton writes on data stored in DynamoDB, using PartiQL.
`ExecuteTransactionResult`	`executeTransaction(ExecuteTransactionRequest executeTransactionRequest)` This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL.
`ExportTableToPointInTimeResult`	`exportTableToPointInTime(ExportTableToPointInTimeRequest exportTableToPointInTimeRequest)` Exports table data to an S3 bucket.
`ResponseMetadata`	`getCachedResponseMetadata(AmazonWebServiceRequest request)` Returns additional metadata for a previously executed successful request, typically used for debugging issues where a service isn't acting as expected.
`GetItemResult`	`getItem(GetItemRequest getItemRequest)` The `GetItem` operation returns a set of attributes for the item with the given primary key.
`GetItemResult`	`getItem(String tableName, Map<String,AttributeValue> key)` Simplified method form for invoking the GetItem operation.
`GetItemResult`	`getItem(String tableName, Map<String,AttributeValue> key, Boolean consistentRead)` Simplified method form for invoking the GetItem operation.
`ImportTableResult`	`importTable(ImportTableRequest importTableRequest)` Imports table data from an S3 bucket.
`ListBackupsResult`	`listBackups(ListBackupsRequest listBackupsRequest)` List backups associated with an Amazon Web Services account.
`ListContributorInsightsResult`	`listContributorInsights(ListContributorInsightsRequest listContributorInsightsRequest)` Returns a list of ContributorInsightsSummary for a table and all its global secondary indexes.
`ListExportsResult`	`listExports(ListExportsRequest listExportsRequest)` Lists completed exports within the past 90 days.
`ListGlobalTablesResult`	`listGlobalTables(ListGlobalTablesRequest listGlobalTablesRequest)` Lists all global tables that have a replica in the specified Region.
`ListImportsResult`	`listImports(ListImportsRequest listImportsRequest)` Lists completed imports within the past 90 days.
`ListTablesResult`	`listTables()` Simplified method form for invoking the ListTables operation.
`ListTablesResult`	`listTables(Integer limit)` Simplified method form for invoking the ListTables operation.
`ListTablesResult`	`listTables(ListTablesRequest listTablesRequest)` Returns an array of table names associated with the current account and endpoint.
`ListTablesResult`	`listTables(String exclusiveStartTableName)` Simplified method form for invoking the ListTables operation.
`ListTablesResult`	`listTables(String exclusiveStartTableName, Integer limit)` Simplified method form for invoking the ListTables operation.
`ListTagsOfResourceResult`	`listTagsOfResource(ListTagsOfResourceRequest listTagsOfResourceRequest)` List all tags on an Amazon DynamoDB resource.
`PutItemResult`	`putItem(PutItemRequest putItemRequest)` Creates a new item, or replaces an old item with a new item.
`PutItemResult`	`putItem(String tableName, Map<String,AttributeValue> item)` Simplified method form for invoking the PutItem operation.
`PutItemResult`	`putItem(String tableName, Map<String,AttributeValue> item, String returnValues)` Simplified method form for invoking the PutItem operation.
`QueryResult`	`query(QueryRequest queryRequest)` You must provide the name of the partition key attribute and a single value for that attribute.
`RestoreTableFromBackupResult`	`restoreTableFromBackup(RestoreTableFromBackupRequest restoreTableFromBackupRequest)` Creates a new table from an existing backup.
`RestoreTableToPointInTimeResult`	`restoreTableToPointInTime(RestoreTableToPointInTimeRequest restoreTableToPointInTimeRequest)` Restores the specified table to the specified point in time within `EarliestRestorableDateTime` and `LatestRestorableDateTime`.
`ScanResult`	`scan(ScanRequest scanRequest)` The `Scan` operation returns one or more items and item attributes by accessing every item in a table or a secondary index.
`ScanResult`	`scan(String tableName, List<String> attributesToGet)` Simplified method form for invoking the Scan operation.
`ScanResult`	`scan(String tableName, List<String> attributesToGet, Map<String,Condition> scanFilter)` Simplified method form for invoking the Scan operation.
`ScanResult`	`scan(String tableName, Map<String,Condition> scanFilter)` Simplified method form for invoking the Scan operation.
`void`	`setEndpoint(String endpoint)` Deprecated. use `AwsClientBuilder#setEndpointConfiguration(AwsClientBuilder.EndpointConfiguration)` for example: `builder.setEndpointConfiguration(new EndpointConfiguration(endpoint, signingRegion));`
`void`	`setRegion(Region region)` Deprecated. use `AwsClientBuilder#setRegion(String)`
`void`	`shutdown()` Shuts down this client object, releasing any resources that might be held open.
`TagResourceResult`	`tagResource(TagResourceRequest tagResourceRequest)` Associate a set of tags with an Amazon DynamoDB resource.
`TransactGetItemsResult`	`transactGetItems(TransactGetItemsRequest transactGetItemsRequest)` `TransactGetItems` is a synchronous operation that atomically retrieves multiple items from one or more tables (but not from indexes) in a single account and Region.
`TransactWriteItemsResult`	`transactWriteItems(TransactWriteItemsRequest transactWriteItemsRequest)` `TransactWriteItems` is a synchronous write operation that groups up to 100 action requests.
`UntagResourceResult`	`untagResource(UntagResourceRequest untagResourceRequest)` Removes the association of tags from an Amazon DynamoDB resource.
`UpdateContinuousBackupsResult`	`updateContinuousBackups(UpdateContinuousBackupsRequest updateContinuousBackupsRequest)` `UpdateContinuousBackups` enables or disables point in time recovery for the specified table.
`UpdateContributorInsightsResult`	`updateContributorInsights(UpdateContributorInsightsRequest updateContributorInsightsRequest)` Updates the status for contributor insights for a specific table or index.
`UpdateGlobalTableResult`	`updateGlobalTable(UpdateGlobalTableRequest updateGlobalTableRequest)` Adds or removes replicas in the specified global table.
`UpdateGlobalTableSettingsResult`	`updateGlobalTableSettings(UpdateGlobalTableSettingsRequest updateGlobalTableSettingsRequest)` Updates settings for a global table.
`UpdateItemResult`	`updateItem(String tableName, Map<String,AttributeValue> key, Map<String,AttributeValueUpdate> attributeUpdates)` Simplified method form for invoking the UpdateItem operation.
`UpdateItemResult`	`updateItem(String tableName, Map<String,AttributeValue> key, Map<String,AttributeValueUpdate> attributeUpdates, String returnValues)` Simplified method form for invoking the UpdateItem operation.
`UpdateItemResult`	`updateItem(UpdateItemRequest updateItemRequest)` Edits an existing item's attributes, or adds a new item to the table if it does not already exist.
`UpdateTableResult`	`updateTable(String tableName, ProvisionedThroughput provisionedThroughput)` Simplified method form for invoking the UpdateTable operation.
`UpdateTableResult`	`updateTable(UpdateTableRequest updateTableRequest)` Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.
`UpdateTableReplicaAutoScalingResult`	`updateTableReplicaAutoScaling(UpdateTableReplicaAutoScalingRequest updateTableReplicaAutoScalingRequest)` Updates auto scaling settings on your global tables at once.
`UpdateTimeToLiveResult`	`updateTimeToLive(UpdateTimeToLiveRequest updateTimeToLiveRequest)` The `UpdateTimeToLive` method enables or disables Time to Live (TTL) for the specified table.
`AmazonDynamoDBWaiters`	`waiters()`

- Field Detail
  - ENDPOINT_PREFIX
```
static final String ENDPOINT_PREFIX
```
    The region metadata service name for computing region endpoints. You can use this value to retrieve metadata (such as supported regions) of the service.
    
    See Also:
    
    RegionUtils.getRegionsForService(String), Constant Field Values
- Method Detail
  - setEndpoint
```
@Deprecated
void setEndpoint(String endpoint)
```
    Deprecated. use AwsClientBuilder#setEndpointConfiguration(AwsClientBuilder.EndpointConfiguration) for example: builder.setEndpointConfiguration(new EndpointConfiguration(endpoint, signingRegion));
    
    Overrides the default endpoint for this client ("https://dynamodb.us-east-1.amazonaws.com"). Callers can use this method to control which AWS region they want to work with.
    Callers can pass in just the endpoint (ex: "dynamodb.us-east-1.amazonaws.com") or a full URL, including the protocol (ex: "https://dynamodb.us-east-1.amazonaws.com"). If the protocol is not specified here, the default protocol from this client's ClientConfiguration will be used, which by default is HTTPS.
    For more information on using AWS regions with the AWS SDK for Java, and a complete list of all available endpoints for all AWS services, see: https://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/java-dg-region-selection.html#region-selection- choose-endpoint
    This method is not threadsafe. An endpoint should be configured when the client is created and before any service requests are made. Changing it afterwards creates inevitable race conditions for any service requests in transit or retrying.
    
    Parameters:
    
    endpoint - The endpoint (ex: "dynamodb.us-east-1.amazonaws.com") or a full URL, including the protocol (ex: "https://dynamodb.us-east-1.amazonaws.com") of the region specific AWS endpoint this client will communicate with.
  - setRegion
```
@Deprecated
void setRegion(Region region)
```
    Deprecated. use AwsClientBuilder#setRegion(String)
    
    An alternative to setEndpoint(String), sets the regional endpoint for this client's service calls. Callers can use this method to control which AWS region they want to work with.
    By default, all service endpoints in all regions use the https protocol. To use http instead, specify it in the ClientConfiguration supplied at construction.
    This method is not threadsafe. A region should be configured when the client is created and before any service requests are made. Changing it afterwards creates inevitable race conditions for any service requests in transit or retrying.
    
    Parameters:
    
    region - The region this client will communicate with. See Region.getRegion(com.amazonaws.regions.Regions) for accessing a given region. Must not be null and must be a region where the service is available.
    
    See Also:
    
    Region.getRegion(com.amazonaws.regions.Regions), Region.createClient(Class, com.amazonaws.auth.AWSCredentialsProvider, ClientConfiguration), Region.isServiceSupported(String)
  - batchExecuteStatement
```
BatchExecuteStatementResult batchExecuteStatement(BatchExecuteStatementRequest batchExecuteStatementRequest)
```
    This operation allows you to perform batch reads or writes on data stored in DynamoDB, using PartiQL. Each read statement in a BatchExecuteStatement must specify an equality condition on all key attributes. This enforces that each SELECT statement in a batch returns at most a single item.
    
    The entire batch must consist of either read statements or write statements, you cannot mix both in one batch.
    
    A HTTP 200 response does not mean that all statements in the BatchExecuteStatement succeeded. Error details for individual statements can be found under the Error field of the BatchStatementResponse for each statement.
    
    Parameters:
    
    batchExecuteStatementRequest -
    
    Returns:
    
    Result of the BatchExecuteStatement operation returned by the service.
    
    Throws:
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - batchGetItem
```
BatchGetItemResult batchGetItem(BatchGetItemRequest batchGetItemRequest)
```
    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 returns a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, more than 1MB per partition is requested, 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 returns 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 dataset.
    
    If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem returns 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 may retrieve 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 ProjectionExpression 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 Working with Tables in the Amazon DynamoDB Developer Guide.
    Parameters:
    
    batchGetItemRequest - Represents the input of a BatchGetItem operation.
    
    Returns:
    
    Result of the BatchGetItem operation returned by the service.
    
    Throws:
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To retrieve multiple items from a table
      This example reads multiple items from the Music table using a batch of three GetItem requests. Only the AlbumTitle attribute is returned.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); BatchGetItemRequest request = new BatchGetItemRequest(); BatchGetItemResult response = client.batchGetItem(request);
  - batchGetItem
```
BatchGetItemResult batchGetItem(Map<String,KeysAndAttributes> requestItems,
                                String returnConsumedCapacity)
```
    Simplified method form for invoking the BatchGetItem operation.
    
    See Also:
    
    batchGetItem(BatchGetItemRequest)
  - batchGetItem
```
BatchGetItemResult batchGetItem(Map<String,KeysAndAttributes> requestItems)
```
    Simplified method form for invoking the BatchGetItem operation.
    
    See Also:
    
    batchGetItem(BatchGetItemRequest)
  - batchWriteItem
```
BatchWriteItemResult batchWriteItem(BatchWriteItemRequest batchWriteItemRequest)
```
    The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can transmit up to 16MB of data over the network, consisting of up to 25 item put or delete operations. While individual items can be up to 400 KB once stored, it's important to note that an item's representation might be greater than 400KB while being sent in DynamoDB's JSON format for the API call. For more details on this distinction, see Naming Rules and Data Types.
    
    BatchWriteItem cannot update items. If you perform a BatchWriteItem operation on an existing item, that item's values will be overwritten by the operation and it will appear like it was updated. To update items, we recommend you use the UpdateItem action.
    
    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.
    
    If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem returns 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 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 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.
    - Your request contains at least two items with identical hash and range keys (which essentially is two put operations).
    - 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.
    Parameters:
    
    batchWriteItemRequest - Represents the input of a BatchWriteItem operation.
    
    Returns:
    
    Result of the BatchWriteItem operation returned by the service.
    
    Throws:
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    ItemCollectionSizeLimitExceededException - An item collection is too large. This exception is only returned for tables that have one or more local secondary indexes.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To add multiple items to a table
      This example adds three new items to the Music table using a batch of three PutItem requests.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); BatchWriteItemRequest request = new BatchWriteItemRequest(); BatchWriteItemResult response = client.batchWriteItem(request);
  - batchWriteItem
```
BatchWriteItemResult batchWriteItem(Map<String,List<WriteRequest>> requestItems)
```
    Simplified method form for invoking the BatchWriteItem operation.
    
    See Also:
    
    batchWriteItem(BatchWriteItemRequest)
  - createBackup
```
CreateBackupResult createBackup(CreateBackupRequest createBackupRequest)
```
    Creates a backup for an existing table.
    
    Each time you create an on-demand backup, the entire table data is backed up. There is no limit to the number of on-demand backups that can be taken.
    
    When you create an on-demand backup, a time marker of the request is cataloged, and the backup is created asynchronously, by applying all changes until the time of the request to the last full table snapshot. Backup requests are processed instantaneously and become available for restore within minutes.
    
    You can call CreateBackup at a maximum rate of 50 times per second.
    
    All backups in DynamoDB work without consuming any provisioned throughput on the table.
    
    If you submit a backup request on 2018-12-14 at 14:25:00, the backup is guaranteed to contain all data committed to the table up to 14:24:00, and data committed after 14:26:00 will not be. The backup might contain data modifications made between 14:24:00 and 14:26:00. On-demand backup does not support causal consistency.
    
    Along with data, the following are also included on the backups:
    - Global secondary indexes (GSIs)
    - Local secondary indexes (LSIs)
    - Streams
    - Provisioned read and write capacity
    Parameters:
    
    createBackupRequest -
    
    Returns:
    
    Result of the CreateBackup operation returned by the service.
    
    Throws:
    
    TableNotFoundException - A source table with the name TableName does not currently exist within the subscriber's account or the subscriber is operating in the wrong Amazon Web Services Region.
    
    TableInUseException - A target table with the specified name is either being created or deleted.
    
    ContinuousBackupsUnavailableException - Backups have not yet been enabled for this table.
    
    BackupInUseException - There is another ongoing conflicting backup control plane operation on the table. The backup is either being created, deleted or restored to a table.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - createGlobalTable
```
CreateGlobalTableResult createGlobalTable(CreateGlobalTableRequest createGlobalTableRequest)
```
    Creates a global table from an existing table. A global table creates a replication relationship between two or more DynamoDB tables with the same table name in the provided Regions.
    
    This operation only applies to Version 2017.11.29 (Legacy) of global tables. We recommend using Version 2019.11.21 (Current) when creating new global tables, as it provides greater flexibility, higher efficiency and consumes less write capacity than 2017.11.29 (Legacy). To determine which version you are using, see Determining the version. To update existing global tables from version 2017.11.29 (Legacy) to version 2019.11.21 (Current), see Updating global tables.
    
    If you want to add a new replica table to a global table, each of the following conditions must be true:
    - The table must have the same primary key as all of the other replicas.
    - The table must have the same name as all of the other replicas.
    - The table must have DynamoDB Streams enabled, with the stream containing both the new and the old images of the item.
    - None of the replica tables in the global table can contain any data.
    If global secondary indexes are specified, then the following conditions must also be met:
    - The global secondary indexes must have the same name.
    - The global secondary indexes must have the same hash key and sort key (if present).
    If local secondary indexes are specified, then the following conditions must also be met:
    - The local secondary indexes must have the same name.
    - The local secondary indexes must have the same hash key and sort key (if present).
    Write capacity settings should be set consistently across your replica tables and secondary indexes. DynamoDB strongly recommends enabling auto scaling to manage the write capacity settings for all of your global tables replicas and indexes.
    
    If you prefer to manage write capacity settings manually, you should provision equal replicated write capacity units to your replica tables. You should also provision equal replicated write capacity units to matching secondary indexes across your global table.
    Parameters:
    
    createGlobalTableRequest -
    
    Returns:
    
    Result of the CreateGlobalTable operation returned by the service.
    
    Throws:
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    GlobalTableAlreadyExistsException - The specified global table already exists.
    
    TableNotFoundException - A source table with the name TableName does not currently exist within the subscriber's account or the subscriber is operating in the wrong Amazon Web Services Region.
    
    See Also:
    
    AWS API Documentation
  - createTable
```
CreateTableResult createTable(CreateTableRequest createTableRequest)
```
    The CreateTable operation adds a new table to your account. In an Amazon Web Services 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 action to check the table status.
    Parameters:
    
    createTableRequest - Represents the input of a CreateTable operation.
    
    Returns:
    
    Result of the CreateTable operation returned by the service.
    
    Throws:
    
    ResourceInUseException - 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.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To create a table
      This example creates a table named Music.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); CreateTableRequest request = new CreateTableRequest() .withAttributeDefinitions(new AttributeDefinition().withAttributeName("Artist").withAttributeType("S"), new AttributeDefinition().withAttributeName("SongTitle").withAttributeType("S")) .withTableName("Music") .withKeySchema(new KeySchemaElement().withAttributeName("Artist").withKeyType("HASH"), new KeySchemaElement().withAttributeName("SongTitle").withKeyType("RANGE")) .withProvisionedThroughput(new ProvisionedThroughput().withReadCapacityUnits(5L).withWriteCapacityUnits(5L)); CreateTableResult response = client.createTable(request);
  - createTable
```
CreateTableResult createTable(List<AttributeDefinition> attributeDefinitions,
                              String tableName,
                              List<KeySchemaElement> keySchema,
                              ProvisionedThroughput provisionedThroughput)
```
    Simplified method form for invoking the CreateTable operation.
    
    See Also:
    
    createTable(CreateTableRequest)
  - deleteBackup
```
DeleteBackupResult deleteBackup(DeleteBackupRequest deleteBackupRequest)
```
    Deletes an existing backup of a table.
    
    You can call DeleteBackup at a maximum rate of 10 times per second.
    
    Parameters:
    
    deleteBackupRequest -
    
    Returns:
    
    Result of the DeleteBackup operation returned by the service.
    
    Throws:
    
    BackupNotFoundException - Backup not found for the given BackupARN.
    
    BackupInUseException - There is another ongoing conflicting backup control plane operation on the table. The backup is either being created, deleted or restored to a table.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - deleteItem
```
DeleteItemResult deleteItem(DeleteItemRequest deleteItemRequest)
```
    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.
    Parameters:
    
    deleteItemRequest - Represents the input of a DeleteItem operation.
    
    Returns:
    
    Result of the DeleteItem operation returned by the service.
    
    Throws:
    
    ConditionalCheckFailedException - A condition specified in the operation could not be evaluated.
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    ItemCollectionSizeLimitExceededException - An item collection is too large. This exception is only returned for tables that have one or more local secondary indexes.
    
    TransactionConflictException - Operation was rejected because there is an ongoing transaction for the item.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To delete an item
      This example deletes an item from the Music table.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); DeleteItemRequest request = new DeleteItemRequest().withTableName("Music"); DeleteItemResult response = client.deleteItem(request);
  - deleteItem
```
DeleteItemResult deleteItem(String tableName,
                            Map<String,AttributeValue> key)
```
    Simplified method form for invoking the DeleteItem operation.
    
    See Also:
    
    deleteItem(DeleteItemRequest)
  - deleteItem
```
DeleteItemResult deleteItem(String tableName,
                            Map<String,AttributeValue> key,
                            String returnValues)
```
    Simplified method form for invoking the DeleteItem operation.
    
    See Also:
    
    deleteItem(DeleteItemRequest)
  - deleteTable
```
DeleteTableResult deleteTable(DeleteTableRequest deleteTableRequest)
```
    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.
    
    This operation only applies to Version 2019.11.21 (Current) of global tables.
    
    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 action to check the status of the table.
    Parameters:
    
    deleteTableRequest - Represents the input of a DeleteTable operation.
    
    Returns:
    
    Result of the DeleteTable operation returned by the service.
    
    Throws:
    
    ResourceInUseException - 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To delete a table
      This example deletes the Music table.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); DeleteTableRequest request = new DeleteTableRequest().withTableName("Music"); DeleteTableResult response = client.deleteTable(request);
  - deleteTable
```
DeleteTableResult deleteTable(String tableName)
```
    Simplified method form for invoking the DeleteTable operation.
    
    See Also:
    
    deleteTable(DeleteTableRequest)
  - describeBackup
```
DescribeBackupResult describeBackup(DescribeBackupRequest describeBackupRequest)
```
    Describes an existing backup of a table.
    
    You can call DescribeBackup at a maximum rate of 10 times per second.
    
    Parameters:
    
    describeBackupRequest -
    
    Returns:
    
    Result of the DescribeBackup operation returned by the service.
    
    Throws:
    
    BackupNotFoundException - Backup not found for the given BackupARN.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - describeContinuousBackups
```
DescribeContinuousBackupsResult describeContinuousBackups(DescribeContinuousBackupsRequest describeContinuousBackupsRequest)
```
    Checks the status of continuous backups and point in time recovery on the specified table. Continuous backups are ENABLED on all tables at table creation. If point in time recovery is enabled, PointInTimeRecoveryStatus will be set to ENABLED.
    
    After continuous backups and point in time recovery are enabled, you can restore to any point in time within EarliestRestorableDateTime and LatestRestorableDateTime.
    
    LatestRestorableDateTime is typically 5 minutes before the current time. You can restore your table to any point in time during the last 35 days.
    
    You can call DescribeContinuousBackups at a maximum rate of 10 times per second.
    
    Parameters:
    
    describeContinuousBackupsRequest -
    
    Returns:
    
    Result of the DescribeContinuousBackups operation returned by the service.
    
    Throws:
    
    TableNotFoundException - A source table with the name TableName does not currently exist within the subscriber's account or the subscriber is operating in the wrong Amazon Web Services Region.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - describeContributorInsights
```
DescribeContributorInsightsResult describeContributorInsights(DescribeContributorInsightsRequest describeContributorInsightsRequest)
```
    Returns information about contributor insights for a given table or global secondary index.
    
    Parameters:
    
    describeContributorInsightsRequest -
    
    Returns:
    
    Result of the DescribeContributorInsights operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - describeEndpoints
```
DescribeEndpointsResult describeEndpoints(DescribeEndpointsRequest describeEndpointsRequest)
```
    Returns the regional endpoint information. For more information on policy permissions, please see Internetwork traffic privacy.
    
    Parameters:
    
    describeEndpointsRequest -
    
    Returns:
    
    Result of the DescribeEndpoints operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeExport
```
DescribeExportResult describeExport(DescribeExportRequest describeExportRequest)
```
    Describes an existing table export.
    
    Parameters:
    
    describeExportRequest -
    
    Returns:
    
    Result of the DescribeExport operation returned by the service.
    
    Throws:
    
    ExportNotFoundException - The specified export was not found.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - describeGlobalTable
```
DescribeGlobalTableResult describeGlobalTable(DescribeGlobalTableRequest describeGlobalTableRequest)
```
    Returns information about the specified global table.
    
    This operation only applies to Version 2017.11.29 (Legacy) of global tables. We recommend using Version 2019.11.21 (Current) when creating new global tables, as it provides greater flexibility, higher efficiency and consumes less write capacity than 2017.11.29 (Legacy). To determine which version you are using, see Determining the version. To update existing global tables from version 2017.11.29 (Legacy) to version 2019.11.21 (Current), see Updating global tables.
    
    Parameters:
    
    describeGlobalTableRequest -
    
    Returns:
    
    Result of the DescribeGlobalTable operation returned by the service.
    
    Throws:
    
    InternalServerErrorException - An error occurred on the server side.
    
    GlobalTableNotFoundException - The specified global table does not exist.
    
    See Also:
    
    AWS API Documentation
  - describeGlobalTableSettings
```
DescribeGlobalTableSettingsResult describeGlobalTableSettings(DescribeGlobalTableSettingsRequest describeGlobalTableSettingsRequest)
```
    Describes Region-specific settings for a global table.
    
    This operation only applies to Version 2017.11.29 (Legacy) of global tables. We recommend using Version 2019.11.21 (Current) when creating new global tables, as it provides greater flexibility, higher efficiency and consumes less write capacity than 2017.11.29 (Legacy). To determine which version you are using, see Determining the version. To update existing global tables from version 2017.11.29 (Legacy) to version 2019.11.21 (Current), see Updating global tables.
    
    Parameters:
    
    describeGlobalTableSettingsRequest -
    
    Returns:
    
    Result of the DescribeGlobalTableSettings operation returned by the service.
    
    Throws:
    
    GlobalTableNotFoundException - The specified global table does not exist.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - describeImport
```
DescribeImportResult describeImport(DescribeImportRequest describeImportRequest)
```
    Represents the properties of the import.
    
    Parameters:
    
    describeImportRequest -
    
    Returns:
    
    Result of the DescribeImport operation returned by the service.
    
    Throws:
    
    ImportNotFoundException - The specified import was not found.
    
    See Also:
    
    AWS API Documentation
  - describeKinesisStreamingDestination
```
DescribeKinesisStreamingDestinationResult describeKinesisStreamingDestination(DescribeKinesisStreamingDestinationRequest describeKinesisStreamingDestinationRequest)
```
    Returns information about the status of Kinesis streaming.
    
    Parameters:
    
    describeKinesisStreamingDestinationRequest -
    
    Returns:
    
    Result of the DescribeKinesisStreamingDestination operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - describeLimits
```
DescribeLimitsResult describeLimits(DescribeLimitsRequest describeLimitsRequest)
```
    Returns the current provisioned-capacity quotas for your Amazon Web Services 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 Amazon Web Services account, the account has initial quotas 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 quotas that apply when you create a table there. For more information, see Service, Account, and Table Quotas page in the Amazon DynamoDB Developer Guide.
    
    Although you can increase these quotas by filing a case at Amazon Web Services Support Center, obtaining the increase is not instantaneous. The DescribeLimits action lets you write code to compare the capacity you are currently using to those quotas imposed by your account so that you have enough time to apply for an increase before you hit a quota.
    
    For example, you could use one of the Amazon Web Services SDKs to do the following:
    1. Call DescribeLimits for a particular Region to obtain your current account quotas 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 quotas 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 quotas.
    
    The per-table quotas 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 doesn't let you increase provisioned capacity extremely rapidly, but the only quota that applies is that the aggregate provisioned capacity over all your tables and GSIs cannot exceed either of the per-account quotas.
    
    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.
    Parameters:
    
    describeLimitsRequest - Represents the input of a DescribeLimits operation. Has no content.
    
    Returns:
    
    Result of the DescribeLimits operation returned by the service.
    
    Throws:
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To determine capacity limits per table and account, in the current AWS region
      The following example returns the maximum read and write capacity units per table, and for the AWS account, in the current AWS region.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); DescribeLimitsRequest request = new DescribeLimitsRequest(); DescribeLimitsResult response = client.describeLimits(request);
  - describeTable
```
DescribeTableResult describeTable(DescribeTableRequest describeTableRequest)
```
    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.
    
    This operation only applies to Version 2019.11.21 (Current) of global tables.
    
    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.
    Parameters:
    
    describeTableRequest - Represents the input of a DescribeTable operation.
    
    Returns:
    
    Result of the DescribeTable operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To describe a table
      This example describes the Music table.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); DescribeTableRequest request = new DescribeTableRequest().withTableName("Music"); DescribeTableResult response = client.describeTable(request);
  - describeTable
```
DescribeTableResult describeTable(String tableName)
```
    Simplified method form for invoking the DescribeTable operation.
    
    See Also:
    
    describeTable(DescribeTableRequest)
  - describeTableReplicaAutoScaling
```
DescribeTableReplicaAutoScalingResult describeTableReplicaAutoScaling(DescribeTableReplicaAutoScalingRequest describeTableReplicaAutoScalingRequest)
```
    Describes auto scaling settings across replicas of the global table at once.
    
    This operation only applies to Version 2019.11.21 (Current) of global tables.
    
    Parameters:
    
    describeTableReplicaAutoScalingRequest -
    
    Returns:
    
    Result of the DescribeTableReplicaAutoScaling operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - describeTimeToLive
```
DescribeTimeToLiveResult describeTimeToLive(DescribeTimeToLiveRequest describeTimeToLiveRequest)
```
    Gives a description of the Time to Live (TTL) status on the specified table.
    
    Parameters:
    
    describeTimeToLiveRequest -
    
    Returns:
    
    Result of the DescribeTimeToLive operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - disableKinesisStreamingDestination
```
DisableKinesisStreamingDestinationResult disableKinesisStreamingDestination(DisableKinesisStreamingDestinationRequest disableKinesisStreamingDestinationRequest)
```
    Stops replication from the DynamoDB table to the Kinesis data stream. This is done without deleting either of the resources.
    
    Parameters:
    
    disableKinesisStreamingDestinationRequest -
    
    Returns:
    
    Result of the DisableKinesisStreamingDestination operation returned by the service.
    
    Throws:
    
    InternalServerErrorException - An error occurred on the server side.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    ResourceInUseException - 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    See Also:
    
    AWS API Documentation
  - enableKinesisStreamingDestination
```
EnableKinesisStreamingDestinationResult enableKinesisStreamingDestination(EnableKinesisStreamingDestinationRequest enableKinesisStreamingDestinationRequest)
```
    Starts table data replication to the specified Kinesis data stream at a timestamp chosen during the enable workflow. If this operation doesn't return results immediately, use DescribeKinesisStreamingDestination to check if streaming to the Kinesis data stream is ACTIVE.
    
    Parameters:
    
    enableKinesisStreamingDestinationRequest -
    
    Returns:
    
    Result of the EnableKinesisStreamingDestination operation returned by the service.
    
    Throws:
    
    InternalServerErrorException - An error occurred on the server side.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    ResourceInUseException - 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    See Also:
    
    AWS API Documentation
  - executeStatement
```
ExecuteStatementResult executeStatement(ExecuteStatementRequest executeStatementRequest)
```
    This operation allows you to perform reads and singleton writes on data stored in DynamoDB, using PartiQL.
    
    For PartiQL reads (SELECT statement), if the total number of processed items exceeds the maximum dataset size limit of 1 MB, the read stops and results are returned to the user as a LastEvaluatedKey value to continue the read in a subsequent operation. If the filter criteria in WHERE clause does not match any data, the read will return an empty result set.
    
    A single SELECT statement response can return up to the maximum number of items (if using the Limit parameter) or a maximum of 1 MB of data (and then apply any filtering to the results using WHERE clause). If LastEvaluatedKey is present in the response, you need to paginate the result set. If NextToken is present, you need to paginate the result set and include NextToken.
    
    Parameters:
    
    executeStatementRequest -
    
    Returns:
    
    Result of the ExecuteStatement operation returned by the service.
    
    Throws:
    
    ConditionalCheckFailedException - A condition specified in the operation could not be evaluated.
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    ItemCollectionSizeLimitExceededException - An item collection is too large. This exception is only returned for tables that have one or more local secondary indexes.
    
    TransactionConflictException - Operation was rejected because there is an ongoing transaction for the item.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    DuplicateItemException - There was an attempt to insert an item with the same primary key as an item that already exists in the DynamoDB table.
    
    See Also:
    
    AWS API Documentation
  - executeTransaction
```
ExecuteTransactionResult executeTransaction(ExecuteTransactionRequest executeTransactionRequest)
```
    This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL.
    
    The entire transaction must consist of either read statements or write statements, you cannot mix both in one transaction. The EXISTS function is an exception and can be used to check the condition of specific attributes of the item in a similar manner to ConditionCheck in the TransactWriteItems API.
    Parameters:
    
    executeTransactionRequest -
    
    Returns:
    
    Result of the ExecuteTransaction operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    TransactionCanceledException - The entire transaction request was canceled.
    
    DynamoDB cancels a TransactWriteItems request under the following circumstances:
    
    A condition in one of the condition expressions is not met.
    
    A table in the TransactWriteItems request is in a different account or region.
    
    More than one action in the TransactWriteItems operation targets the same item.
    
    There is insufficient provisioned capacity for the transaction to be completed.
    
    An item size becomes too large (larger than 400 KB), or a local secondary index (LSI) becomes too large, or a similar validation error occurs because of changes made by the transaction.
    
    There is a user error, such as an invalid data format.
    
    DynamoDB cancels a TransactGetItems request under the following circumstances:
    
    There is an ongoing TransactGetItems operation that conflicts with a concurrent PutItem, UpdateItem, DeleteItem or TransactWriteItems request. In this case the TransactGetItems operation fails with a TransactionCanceledException.
    
    A table in the TransactGetItems request is in a different account or region.
    
    There is insufficient provisioned capacity for the transaction to be completed.
    
    There is a user error, such as an invalid data format.
    
    If using Java, DynamoDB lists the cancellation reasons on the CancellationReasons property. This property is not set for other languages. Transaction cancellation reasons are ordered in the order of requested items, if an item has no error it will have None code and Null message.
    
    Cancellation reason codes and possible error messages:
    
    No Errors:
    
    Code: None
    
    Message: null
    
    Conditional Check Failed:
    
    Code: ConditionalCheckFailed
    
    Message: The conditional request failed.
    
    Item Collection Size Limit Exceeded:
    
    Code: ItemCollectionSizeLimitExceeded
    
    Message: Collection size exceeded.
    
    Transaction Conflict:
    
    Code: TransactionConflict
    
    Message: Transaction is ongoing for the item.
    
    Provisioned Throughput Exceeded:
    
    Code: ProvisionedThroughputExceeded
    
    Messages:
    
    The level of configured provisioned throughput for the table was exceeded. Consider increasing your provisioning level with the UpdateTable API.
    
    This Message is received when provisioned throughput is exceeded is on a provisioned DynamoDB table.
    
    The level of configured provisioned throughput for one or more global secondary indexes of the table was exceeded. Consider increasing your provisioning level for the under-provisioned global secondary indexes with the UpdateTable API.
    
    This message is returned when provisioned throughput is exceeded is on a provisioned GSI.
    
    Throttling Error:
    
    Code: ThrottlingError
    
    Messages:
    
    Throughput exceeds the current capacity of your table or index. DynamoDB is automatically scaling your table or index so please try again shortly. If exceptions persist, check if you have a hot key: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-partition-key-design.html.
    
    This message is returned when writes get throttled on an On-Demand table as DynamoDB is automatically scaling the table.
    
    Throughput exceeds the current capacity for one or more global secondary indexes. DynamoDB is automatically scaling your index so please try again shortly.
    
    This message is returned when writes get throttled on an On-Demand GSI as DynamoDB is automatically scaling the GSI.
    
    Validation Error:
    
    Code: ValidationError
    
    Messages:
    
    One or more parameter values were invalid.
    
    The update expression attempted to update the secondary index key beyond allowed size limits.
    
    The update expression attempted to update the secondary index key to unsupported type.
    
    An operand in the update expression has an incorrect data type.
    
    Item size to update has exceeded the maximum allowed size.
    
    Number overflow. Attempting to store a number with magnitude larger than supported range.
    
    Type mismatch for attribute to update.
    
    Nesting Levels have exceeded supported limits.
    
    The document path provided in the update expression is invalid for update.
    
    The provided expression refers to an attribute that does not exist in the item.
    TransactionInProgressException - The transaction with the given request token is already in progress.
    
    Recommended Settings
    
    This is a general recommendation for handling the TransactionInProgressException. These settings help ensure that the client retries will trigger completion of the ongoing TransactWriteItems request.
    
    Set clientExecutionTimeout to a value that allows at least one retry to be processed after 5 seconds have elapsed since the first attempt for the TransactWriteItems operation.
    
    Set socketTimeout to a value a little lower than the requestTimeout setting.
    
    requestTimeout should be set based on the time taken for the individual retries of a single HTTP request for your use case, but setting it to 1 second or higher should work well to reduce chances of retries and TransactionInProgressException errors.
    
    Use exponential backoff when retrying and tune backoff if needed.
    
    Assuming default retry policy, example timeout settings based on the guidelines above are as follows:
    
    Example timeline:
    
    0-1000 first attempt
    
    1000-1500 first sleep/delay (default retry policy uses 500 ms as base delay for 4xx errors)
    
    1500-2500 second attempt
    
    2500-3500 second sleep/delay (500 * 2, exponential backoff)
    
    3500-4500 third attempt
    
    4500-6500 third sleep/delay (500 * 2^2)
    
    6500-7500 fourth attempt (this can trigger inline recovery since 5 seconds have elapsed since the first attempt reached TC)
    IdempotentParameterMismatchException - DynamoDB rejected the request because you retried a request with a different payload but with an idempotent token that was already used.
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - exportTableToPointInTime
```
ExportTableToPointInTimeResult exportTableToPointInTime(ExportTableToPointInTimeRequest exportTableToPointInTimeRequest)
```
    Exports table data to an S3 bucket. The table must have point in time recovery enabled, and you can export data from any time within the point in time recovery window.
    
    Parameters:
    
    exportTableToPointInTimeRequest -
    
    Returns:
    
    Result of the ExportTableToPointInTime operation returned by the service.
    
    Throws:
    
    TableNotFoundException - A source table with the name TableName does not currently exist within the subscriber's account or the subscriber is operating in the wrong Amazon Web Services Region.
    
    PointInTimeRecoveryUnavailableException - Point in time recovery has not yet been enabled for this source table.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InvalidExportTimeException - The specified ExportTime is outside of the point in time recovery window.
    
    ExportConflictException - There was a conflict when writing to the specified S3 bucket.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - getItem
```
GetItemResult getItem(GetItemRequest getItemRequest)
```
    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 and there will be no Item element in the response.
    
    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.
    Parameters:
    
    getItemRequest - Represents the input of a GetItem operation.
    
    Returns:
    
    Result of the GetItem operation returned by the service.
    
    Throws:
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To read an item from a table
      This example retrieves an item from the Music table. The table has a partition key and a sort key (Artist and SongTitle), so you must specify both of these attributes.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); GetItemRequest request = new GetItemRequest().withTableName("Music"); GetItemResult response = client.getItem(request);
  - getItem
```
GetItemResult getItem(String tableName,
                      Map<String,AttributeValue> key)
```
    Simplified method form for invoking the GetItem operation.
    
    See Also:
    
    getItem(GetItemRequest)
  - getItem
```
GetItemResult getItem(String tableName,
                      Map<String,AttributeValue> key,
                      Boolean consistentRead)
```
    Simplified method form for invoking the GetItem operation.
    
    See Also:
    
    getItem(GetItemRequest)
  - importTable
```
ImportTableResult importTable(ImportTableRequest importTableRequest)
```
    Imports table data from an S3 bucket.
    
    Parameters:
    
    importTableRequest -
    
    Returns:
    
    Result of the ImportTable operation returned by the service.
    
    Throws:
    
    ResourceInUseException - 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.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    ImportConflictException - There was a conflict when importing from the specified S3 source. This can occur when the current import conflicts with a previous import request that had the same client token.
    
    See Also:
    
    AWS API Documentation
  - listBackups
```
ListBackupsResult listBackups(ListBackupsRequest listBackupsRequest)
```
    List backups associated with an Amazon Web Services account. To list backups for a given table, specify TableName. ListBackups returns a paginated list of results with at most 1 MB worth of items in a page. You can also specify a maximum number of entries to be returned in a page.
    
    In the request, start time is inclusive, but end time is exclusive. Note that these boundaries are for the time at which the original backup was requested.
    
    You can call ListBackups a maximum of five times per second.
    
    Parameters:
    
    listBackupsRequest -
    
    Returns:
    
    Result of the ListBackups operation returned by the service.
    
    Throws:
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - listContributorInsights
```
ListContributorInsightsResult listContributorInsights(ListContributorInsightsRequest listContributorInsightsRequest)
```
    Returns a list of ContributorInsightsSummary for a table and all its global secondary indexes.
    
    Parameters:
    
    listContributorInsightsRequest -
    
    Returns:
    
    Result of the ListContributorInsights operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - listExports
```
ListExportsResult listExports(ListExportsRequest listExportsRequest)
```
    Lists completed exports within the past 90 days.
    
    Parameters:
    
    listExportsRequest -
    
    Returns:
    
    Result of the ListExports operation returned by the service.
    
    Throws:
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - listGlobalTables
```
ListGlobalTablesResult listGlobalTables(ListGlobalTablesRequest listGlobalTablesRequest)
```
    Lists all global tables that have a replica in the specified Region.
    
    This operation only applies to Version 2017.11.29 (Legacy) of global tables. We recommend using Version 2019.11.21 (Current) when creating new global tables, as it provides greater flexibility, higher efficiency and consumes less write capacity than 2017.11.29 (Legacy). To determine which version you are using, see Determining the version. To update existing global tables from version 2017.11.29 (Legacy) to version 2019.11.21 (Current), see Updating global tables.
    
    Parameters:
    
    listGlobalTablesRequest -
    
    Returns:
    
    Result of the ListGlobalTables operation returned by the service.
    
    Throws:
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - listImports
```
ListImportsResult listImports(ListImportsRequest listImportsRequest)
```
    Lists completed imports within the past 90 days.
    
    Parameters:
    
    listImportsRequest -
    
    Returns:
    
    Result of the ListImports operation returned by the service.
    
    Throws:
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    See Also:
    
    AWS API Documentation
  - listTables
```
ListTablesResult listTables(ListTablesRequest listTablesRequest)
```
    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.
    Parameters:
    
    listTablesRequest - Represents the input of a ListTables operation.
    
    Returns:
    
    Result of the ListTables operation returned by the service.
    
    Throws:
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To list tables
      This example lists all of the tables associated with the current AWS account and endpoint.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); ListTablesRequest request = new ListTablesRequest(); ListTablesResult response = client.listTables(request);
  - listTables
```
ListTablesResult listTables()
```
    Simplified method form for invoking the ListTables operation.
    
    See Also:
    
    listTables(ListTablesRequest)
  - listTables
```
ListTablesResult listTables(String exclusiveStartTableName)
```
    Simplified method form for invoking the ListTables operation.
    
    See Also:
    
    listTables(ListTablesRequest)
  - listTables
```
ListTablesResult listTables(String exclusiveStartTableName,
                            Integer limit)
```
    Simplified method form for invoking the ListTables operation.
    
    See Also:
    
    listTables(ListTablesRequest)
  - listTables
```
ListTablesResult listTables(Integer limit)
```
    Simplified method form for invoking the ListTables operation.
    
    See Also:
    
    listTables(ListTablesRequest)
  - listTagsOfResource
```
ListTagsOfResourceResult listTagsOfResource(ListTagsOfResourceRequest listTagsOfResourceRequest)
```
    List all tags on an Amazon DynamoDB resource. You can call ListTagsOfResource up to 10 times per second, per account.
    
    For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
    
    Parameters:
    
    listTagsOfResourceRequest -
    
    Returns:
    
    Result of the ListTagsOfResource operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - putItem
```
PutItemResult putItem(PutItemRequest putItemRequest)
```
    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. You can return the item's attribute values in the same operation, using the ReturnValues parameter.
    
    When you add an item, the primary key attributes are the only required attributes.
    
    Empty String and Binary attribute values are allowed. Attribute values of type String and Binary must have a length greater than zero if the attribute is used as a key attribute for a table or index. Set type attributes cannot be empty.
    
    Invalid Requests with empty values will be rejected with a ValidationException exception.
    
    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 PutItem, see Working with Items in the Amazon DynamoDB Developer Guide.
    Parameters:
    
    putItemRequest - Represents the input of a PutItem operation.
    
    Returns:
    
    Result of the PutItem operation returned by the service.
    
    Throws:
    
    ConditionalCheckFailedException - A condition specified in the operation could not be evaluated.
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    ItemCollectionSizeLimitExceededException - An item collection is too large. This exception is only returned for tables that have one or more local secondary indexes.
    
    TransactionConflictException - Operation was rejected because there is an ongoing transaction for the item.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To add an item to a table
      This example adds a new item to the Music table.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); PutItemRequest request = new PutItemRequest().withTableName("Music").withReturnConsumedCapacity("TOTAL"); PutItemResult response = client.putItem(request);
  - putItem
```
PutItemResult putItem(String tableName,
                      Map<String,AttributeValue> item)
```
    Simplified method form for invoking the PutItem operation.
    
    See Also:
    
    putItem(PutItemRequest)
  - putItem
```
PutItemResult putItem(String tableName,
                      Map<String,AttributeValue> item,
                      String returnValues)
```
    Simplified method form for invoking the PutItem operation.
    
    See Also:
    
    putItem(PutItemRequest)
  - query
```
QueryResult query(QueryRequest queryRequest)
```
    You must provide the name of the partition key attribute and a single value for that attribute. Query returns all items with that partition key value. Optionally, you can provide a sort key attribute and use a comparison operator to refine the search results.
    
    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. To further refine the Query results, you can optionally provide a FilterExpression. A FilterExpression determines which items within the results should be returned to you. All of the other results are discarded.
    
    A Query operation always returns a result set. If no matching items are found, the result set will be empty. Queries that do not return results consume the minimum number of read capacity units for that type of read operation.
    
    DynamoDB calculates the number of read capacity units consumed based on item size, not on the amount of data that is returned to an application. The number of capacity units consumed will be the same whether you request all of the attributes (the default behavior) or just some of them (using a projection expression). The number will also be the same whether or not you use a FilterExpression.
    
    Query results are always sorted by the sort key value. If the data type of the sort key is Number, the results are returned in numeric order; otherwise, the results are returned in order of UTF-8 bytes. By default, the sort order is ascending. To reverse the order, set the ScanIndexForward parameter to false.
    
    A single Query operation will read up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression. If LastEvaluatedKey is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide.
    
    FilterExpression is applied after a Query finishes, but before the results are returned. A FilterExpression cannot contain partition key or sort key attributes. You need to specify those attributes in the KeyConditionExpression.
    
    A Query operation can return an empty result set and a LastEvaluatedKey if all the items read for the page of results are filtered out.
    
    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.
    Parameters:
    
    queryRequest - Represents the input of a Query operation.
    
    Returns:
    
    Result of the Query operation returned by the service.
    
    Throws:
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To query an item
      This example queries items in the Music table. The table has a partition key and sort key (Artist and SongTitle), but this query only specifies the partition key value. It returns song titles by the artist named "No One You Know".
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); QueryRequest request = new QueryRequest().withTableName("Music").withProjectionExpression("SongTitle").withKeyConditionExpression("Artist = :v1"); QueryResult response = client.query(request);
  - restoreTableFromBackup
```
RestoreTableFromBackupResult restoreTableFromBackup(RestoreTableFromBackupRequest restoreTableFromBackupRequest)
```
    Creates a new table from an existing backup. Any number of users can execute up to 50 concurrent restores (any type of restore) in a given account.
    
    You can call RestoreTableFromBackup at a maximum rate of 10 times per second.
    
    You must manually set up the following on the restored table:
    - Auto scaling policies
    - IAM policies
    - Amazon CloudWatch metrics and alarms
    - Tags
    - Stream settings
    - Time to Live (TTL) settings
    Parameters:
    
    restoreTableFromBackupRequest -
    
    Returns:
    
    Result of the RestoreTableFromBackup operation returned by the service.
    
    Throws:
    
    TableAlreadyExistsException - A target table with the specified name already exists.
    
    TableInUseException - A target table with the specified name is either being created or deleted.
    
    BackupNotFoundException - Backup not found for the given BackupARN.
    
    BackupInUseException - There is another ongoing conflicting backup control plane operation on the table. The backup is either being created, deleted or restored to a table.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - restoreTableToPointInTime
```
RestoreTableToPointInTimeResult restoreTableToPointInTime(RestoreTableToPointInTimeRequest restoreTableToPointInTimeRequest)
```
    Restores the specified table to the specified point in time within EarliestRestorableDateTime and LatestRestorableDateTime. You can restore your table to any point in time during the last 35 days. Any number of users can execute up to 4 concurrent restores (any type of restore) in a given account.
    
    When you restore using point in time recovery, DynamoDB restores your table data to the state based on the selected date and time (day:hour:minute:second) to a new table.
    
    Along with data, the following are also included on the new restored table using point in time recovery:
    - Global secondary indexes (GSIs)
    - Local secondary indexes (LSIs)
    - Provisioned read and write capacity
    - Encryption settings
      
      All these settings come from the current settings of the source table at the time of restore.
    You must manually set up the following on the restored table:
    - Auto scaling policies
    - IAM policies
    - Amazon CloudWatch metrics and alarms
    - Tags
    - Stream settings
    - Time to Live (TTL) settings
    - Point in time recovery settings
    Parameters:
    
    restoreTableToPointInTimeRequest -
    
    Returns:
    
    Result of the RestoreTableToPointInTime operation returned by the service.
    
    Throws:
    
    TableAlreadyExistsException - A target table with the specified name already exists.
    
    TableNotFoundException - A source table with the name TableName does not currently exist within the subscriber's account or the subscriber is operating in the wrong Amazon Web Services Region.
    
    TableInUseException - A target table with the specified name is either being created or deleted.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InvalidRestoreTimeException - An invalid restore time was specified. RestoreDateTime must be between EarliestRestorableDateTime and LatestRestorableDateTime.
    
    PointInTimeRecoveryUnavailableException - Point in time recovery has not yet been enabled for this source table.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - scan
```
ScanResult scan(ScanRequest scanRequest)
```
    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 FilterExpression operation.
    
    If the total size of scanned items exceeds the maximum dataset size limit of 1 MB, the scan completes and results are returned to the user. The LastEvaluatedKey value is also returned and the requestor can use the LastEvaluatedKey to continue the scan in a subsequent operation. Each scan response also includes number of items that were scanned (ScannedCount) as part of the request. If using a FilterExpression , a scan result can result in no items meeting the criteria and the Count will result in zero. If you did not use a FilterExpression in the scan request, then Count is the same as ScannedCount.
    
    Count and ScannedCount only return the count of items specific to a single scan request and, unless the table is less than 1MB, do not represent the total number of items in the table.
    
    A single Scan operation first reads up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then applies any filtering to the results if a FilterExpression is provided. If LastEvaluatedKey is present in the response, pagination is required to complete the full table scan. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide.
    
    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, a Scan uses eventually consistent reads when accessing the items in a table. Therefore, the results from an eventually consistent Scan may not include the latest item changes at the time the scan iterates through each item in the table. If you require a strongly consistent read of each item as the scan iterates through the items in the table, you can set the ConsistentRead parameter to true. Strong consistency only relates to the consistency of the read at the item level.
    
    DynamoDB does not provide snapshot isolation for a scan operation when the ConsistentRead parameter is set to true. Thus, a DynamoDB scan operation does not guarantee that all reads in a scan see a consistent snapshot of the table when the scan operation was requested.
    Parameters:
    
    scanRequest - Represents the input of a Scan operation.
    
    Returns:
    
    Result of the Scan operation returned by the service.
    
    Throws:
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To scan a table
      This example scans the entire Music table, and then narrows the results to songs by the artist "No One You Know". For each item, only the album title and song title are returned.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); ScanRequest request = new ScanRequest().withTableName("Music").withProjectionExpression("#ST, #AT").withFilterExpression("Artist = :a"); ScanResult response = client.scan(request);
  - scan
```
ScanResult scan(String tableName,
                List<String> attributesToGet)
```
    Simplified method form for invoking the Scan operation.
    
    See Also:
    
    scan(ScanRequest)
  - scan
```
ScanResult scan(String tableName,
                Map<String,Condition> scanFilter)
```
    Simplified method form for invoking the Scan operation.
    
    See Also:
    
    scan(ScanRequest)
  - scan
```
ScanResult scan(String tableName,
                List<String> attributesToGet,
                Map<String,Condition> scanFilter)
```
    Simplified method form for invoking the Scan operation.
    
    See Also:
    
    scan(ScanRequest)
  - tagResource
```
TagResourceResult tagResource(TagResourceRequest tagResourceRequest)
```
    Associate a set of tags with an Amazon DynamoDB resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking. You can call TagResource up to five times per second, per account.
    
    For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
    
    Parameters:
    
    tagResourceRequest -
    
    Returns:
    
    Result of the TagResource operation returned by the service.
    
    Throws:
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    ResourceInUseException - 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.
    
    See Also:
    
    AWS API Documentation
  - transactGetItems
```
TransactGetItemsResult transactGetItems(TransactGetItemsRequest transactGetItemsRequest)
```
    TransactGetItems is a synchronous operation that atomically retrieves multiple items from one or more tables (but not from indexes) in a single account and Region. A TransactGetItems call can contain up to 100 TransactGetItem objects, each of which contains a Get structure that specifies an item to retrieve from a table in the account and Region. A call to TransactGetItems cannot retrieve items from tables in more than one Amazon Web Services account or Region. The aggregate size of the items in the transaction cannot exceed 4 MB.
    
    DynamoDB rejects the entire TransactGetItems request if any of the following is true:
    - A conflicting operation is in the process of updating an item to be read.
    - There is insufficient provisioned capacity for the transaction to be completed.
    - There is a user error, such as an invalid data format.
    - The aggregate size of the items in the transaction exceeded 4 MB.
    Parameters:
    
    transactGetItemsRequest -
    
    Returns:
    
    Result of the TransactGetItems operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    TransactionCanceledException - The entire transaction request was canceled.
    
    DynamoDB cancels a TransactWriteItems request under the following circumstances:
    
    A condition in one of the condition expressions is not met.
    
    A table in the TransactWriteItems request is in a different account or region.
    
    More than one action in the TransactWriteItems operation targets the same item.
    
    There is insufficient provisioned capacity for the transaction to be completed.
    
    An item size becomes too large (larger than 400 KB), or a local secondary index (LSI) becomes too large, or a similar validation error occurs because of changes made by the transaction.
    
    There is a user error, such as an invalid data format.
    
    DynamoDB cancels a TransactGetItems request under the following circumstances:
    
    There is an ongoing TransactGetItems operation that conflicts with a concurrent PutItem, UpdateItem, DeleteItem or TransactWriteItems request. In this case the TransactGetItems operation fails with a TransactionCanceledException.
    
    A table in the TransactGetItems request is in a different account or region.
    
    There is insufficient provisioned capacity for the transaction to be completed.
    
    There is a user error, such as an invalid data format.
    
    If using Java, DynamoDB lists the cancellation reasons on the CancellationReasons property. This property is not set for other languages. Transaction cancellation reasons are ordered in the order of requested items, if an item has no error it will have None code and Null message.
    
    Cancellation reason codes and possible error messages:
    
    No Errors:
    
    Code: None
    
    Message: null
    
    Conditional Check Failed:
    
    Code: ConditionalCheckFailed
    
    Message: The conditional request failed.
    
    Item Collection Size Limit Exceeded:
    
    Code: ItemCollectionSizeLimitExceeded
    
    Message: Collection size exceeded.
    
    Transaction Conflict:
    
    Code: TransactionConflict
    
    Message: Transaction is ongoing for the item.
    
    Provisioned Throughput Exceeded:
    
    Code: ProvisionedThroughputExceeded
    
    Messages:
    
    The level of configured provisioned throughput for the table was exceeded. Consider increasing your provisioning level with the UpdateTable API.
    
    This Message is received when provisioned throughput is exceeded is on a provisioned DynamoDB table.
    
    The level of configured provisioned throughput for one or more global secondary indexes of the table was exceeded. Consider increasing your provisioning level for the under-provisioned global secondary indexes with the UpdateTable API.
    
    This message is returned when provisioned throughput is exceeded is on a provisioned GSI.
    
    Throttling Error:
    
    Code: ThrottlingError
    
    Messages:
    
    Throughput exceeds the current capacity of your table or index. DynamoDB is automatically scaling your table or index so please try again shortly. If exceptions persist, check if you have a hot key: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-partition-key-design.html.
    
    This message is returned when writes get throttled on an On-Demand table as DynamoDB is automatically scaling the table.
    
    Throughput exceeds the current capacity for one or more global secondary indexes. DynamoDB is automatically scaling your index so please try again shortly.
    
    This message is returned when writes get throttled on an On-Demand GSI as DynamoDB is automatically scaling the GSI.
    
    Validation Error:
    
    Code: ValidationError
    
    Messages:
    
    One or more parameter values were invalid.
    
    The update expression attempted to update the secondary index key beyond allowed size limits.
    
    The update expression attempted to update the secondary index key to unsupported type.
    
    An operand in the update expression has an incorrect data type.
    
    Item size to update has exceeded the maximum allowed size.
    
    Number overflow. Attempting to store a number with magnitude larger than supported range.
    
    Type mismatch for attribute to update.
    
    Nesting Levels have exceeded supported limits.
    
    The document path provided in the update expression is invalid for update.
    
    The provided expression refers to an attribute that does not exist in the item.
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - transactWriteItems
```
TransactWriteItemsResult transactWriteItems(TransactWriteItemsRequest transactWriteItemsRequest)
```
    TransactWriteItems is a synchronous write operation that groups up to 100 action requests. These actions can target items in different tables, but not in different Amazon Web Services accounts or Regions, and no two actions can target the same item. For example, you cannot both ConditionCheck and Update the same item. The aggregate size of the items in the transaction cannot exceed 4 MB.
    
    The actions are completed atomically so that either all of them succeed, or all of them fail. They are defined by the following objects:
    - Put — Initiates a PutItem operation to write a new item. This structure specifies the primary key of the item to be written, the name of the table to write it in, an optional condition expression that must be satisfied for the write to succeed, a list of the item's attributes, and a field indicating whether to retrieve the item's attributes if the condition is not met.
    - Update — Initiates an UpdateItem operation to update an existing item. This structure specifies the primary key of the item to be updated, the name of the table where it resides, an optional condition expression that must be satisfied for the update to succeed, an expression that defines one or more attributes to be updated, and a field indicating whether to retrieve the item's attributes if the condition is not met.
    - Delete — Initiates a DeleteItem operation to delete an existing item. This structure specifies the primary key of the item to be deleted, the name of the table where it resides, an optional condition expression that must be satisfied for the deletion to succeed, and a field indicating whether to retrieve the item's attributes if the condition is not met.
    - ConditionCheck — Applies a condition to an item that is not being modified by the transaction. This structure specifies the primary key of the item to be checked, the name of the table where it resides, a condition expression that must be satisfied for the transaction to succeed, and a field indicating whether to retrieve the item's attributes if the condition is not met.
    DynamoDB rejects the entire TransactWriteItems request if any of the following is true:
    - A condition in one of the condition expressions is not met.
    - An ongoing operation is in the process of updating the same item.
    - There is insufficient provisioned capacity for the transaction to be completed.
    - An item size becomes too large (bigger than 400 KB), a local secondary index (LSI) becomes too large, or a similar validation error occurs because of changes made by the transaction.
    - The aggregate size of the items in the transaction exceeds 4 MB.
    - There is a user error, such as an invalid data format.
    Parameters:
    
    transactWriteItemsRequest -
    
    Returns:
    
    Result of the TransactWriteItems operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    TransactionCanceledException - The entire transaction request was canceled.
    
    DynamoDB cancels a TransactWriteItems request under the following circumstances:
    
    A condition in one of the condition expressions is not met.
    
    A table in the TransactWriteItems request is in a different account or region.
    
    More than one action in the TransactWriteItems operation targets the same item.
    
    There is insufficient provisioned capacity for the transaction to be completed.
    
    An item size becomes too large (larger than 400 KB), or a local secondary index (LSI) becomes too large, or a similar validation error occurs because of changes made by the transaction.
    
    There is a user error, such as an invalid data format.
    
    DynamoDB cancels a TransactGetItems request under the following circumstances:
    
    There is an ongoing TransactGetItems operation that conflicts with a concurrent PutItem, UpdateItem, DeleteItem or TransactWriteItems request. In this case the TransactGetItems operation fails with a TransactionCanceledException.
    
    A table in the TransactGetItems request is in a different account or region.
    
    There is insufficient provisioned capacity for the transaction to be completed.
    
    There is a user error, such as an invalid data format.
    
    If using Java, DynamoDB lists the cancellation reasons on the CancellationReasons property. This property is not set for other languages. Transaction cancellation reasons are ordered in the order of requested items, if an item has no error it will have None code and Null message.
    
    Cancellation reason codes and possible error messages:
    
    No Errors:
    
    Code: None
    
    Message: null
    
    Conditional Check Failed:
    
    Code: ConditionalCheckFailed
    
    Message: The conditional request failed.
    
    Item Collection Size Limit Exceeded:
    
    Code: ItemCollectionSizeLimitExceeded
    
    Message: Collection size exceeded.
    
    Transaction Conflict:
    
    Code: TransactionConflict
    
    Message: Transaction is ongoing for the item.
    
    Provisioned Throughput Exceeded:
    
    Code: ProvisionedThroughputExceeded
    
    Messages:
    
    The level of configured provisioned throughput for the table was exceeded. Consider increasing your provisioning level with the UpdateTable API.
    
    This Message is received when provisioned throughput is exceeded is on a provisioned DynamoDB table.
    
    The level of configured provisioned throughput for one or more global secondary indexes of the table was exceeded. Consider increasing your provisioning level for the under-provisioned global secondary indexes with the UpdateTable API.
    
    This message is returned when provisioned throughput is exceeded is on a provisioned GSI.
    
    Throttling Error:
    
    Code: ThrottlingError
    
    Messages:
    
    Throughput exceeds the current capacity of your table or index. DynamoDB is automatically scaling your table or index so please try again shortly. If exceptions persist, check if you have a hot key: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-partition-key-design.html.
    
    This message is returned when writes get throttled on an On-Demand table as DynamoDB is automatically scaling the table.
    
    Throughput exceeds the current capacity for one or more global secondary indexes. DynamoDB is automatically scaling your index so please try again shortly.
    
    This message is returned when writes get throttled on an On-Demand GSI as DynamoDB is automatically scaling the GSI.
    
    Validation Error:
    
    Code: ValidationError
    
    Messages:
    
    One or more parameter values were invalid.
    
    The update expression attempted to update the secondary index key beyond allowed size limits.
    
    The update expression attempted to update the secondary index key to unsupported type.
    
    An operand in the update expression has an incorrect data type.
    
    Item size to update has exceeded the maximum allowed size.
    
    Number overflow. Attempting to store a number with magnitude larger than supported range.
    
    Type mismatch for attribute to update.
    
    Nesting Levels have exceeded supported limits.
    
    The document path provided in the update expression is invalid for update.
    
    The provided expression refers to an attribute that does not exist in the item.
    TransactionInProgressException - The transaction with the given request token is already in progress.
    
    Recommended Settings
    
    This is a general recommendation for handling the TransactionInProgressException. These settings help ensure that the client retries will trigger completion of the ongoing TransactWriteItems request.
    
    Set clientExecutionTimeout to a value that allows at least one retry to be processed after 5 seconds have elapsed since the first attempt for the TransactWriteItems operation.
    
    Set socketTimeout to a value a little lower than the requestTimeout setting.
    
    requestTimeout should be set based on the time taken for the individual retries of a single HTTP request for your use case, but setting it to 1 second or higher should work well to reduce chances of retries and TransactionInProgressException errors.
    
    Use exponential backoff when retrying and tune backoff if needed.
    
    Assuming default retry policy, example timeout settings based on the guidelines above are as follows:
    
    Example timeline:
    
    0-1000 first attempt
    
    1000-1500 first sleep/delay (default retry policy uses 500 ms as base delay for 4xx errors)
    
    1500-2500 second attempt
    
    2500-3500 second sleep/delay (500 * 2, exponential backoff)
    
    3500-4500 third attempt
    
    4500-6500 third sleep/delay (500 * 2^2)
    
    6500-7500 fourth attempt (this can trigger inline recovery since 5 seconds have elapsed since the first attempt reached TC)
    IdempotentParameterMismatchException - DynamoDB rejected the request because you retried a request with a different payload but with an idempotent token that was already used.
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - untagResource
```
UntagResourceResult untagResource(UntagResourceRequest untagResourceRequest)
```
    Removes the association of tags from an Amazon DynamoDB resource. You can call UntagResource up to five times per second, per account.
    
    For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
    
    Parameters:
    
    untagResourceRequest -
    
    Returns:
    
    Result of the UntagResource operation returned by the service.
    
    Throws:
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    ResourceInUseException - 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.
    
    See Also:
    
    AWS API Documentation
  - updateContinuousBackups
```
UpdateContinuousBackupsResult updateContinuousBackups(UpdateContinuousBackupsRequest updateContinuousBackupsRequest)
```
    UpdateContinuousBackups enables or disables point in time recovery for the specified table. A successful UpdateContinuousBackups call returns the current ContinuousBackupsDescription. Continuous backups are ENABLED on all tables at table creation. If point in time recovery is enabled, PointInTimeRecoveryStatus will be set to ENABLED.
    
    Once continuous backups and point in time recovery are enabled, you can restore to any point in time within EarliestRestorableDateTime and LatestRestorableDateTime.
    
    LatestRestorableDateTime is typically 5 minutes before the current time. You can restore your table to any point in time during the last 35 days.
    
    Parameters:
    
    updateContinuousBackupsRequest -
    
    Returns:
    
    Result of the UpdateContinuousBackups operation returned by the service.
    
    Throws:
    
    TableNotFoundException - A source table with the name TableName does not currently exist within the subscriber's account or the subscriber is operating in the wrong Amazon Web Services Region.
    
    ContinuousBackupsUnavailableException - Backups have not yet been enabled for this table.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - updateContributorInsights
```
UpdateContributorInsightsResult updateContributorInsights(UpdateContributorInsightsRequest updateContributorInsightsRequest)
```
    Updates the status for contributor insights for a specific table or index. CloudWatch Contributor Insights for DynamoDB graphs display the partition key and (if applicable) sort key of frequently accessed items and frequently throttled items in plaintext. If you require the use of Amazon Web Services Key Management Service (KMS) to encrypt this table’s partition key and sort key data with an Amazon Web Services managed key or customer managed key, you should not enable CloudWatch Contributor Insights for DynamoDB for this table.
    
    Parameters:
    
    updateContributorInsightsRequest -
    
    Returns:
    
    Result of the UpdateContributorInsights operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - updateGlobalTable
```
UpdateGlobalTableResult updateGlobalTable(UpdateGlobalTableRequest updateGlobalTableRequest)
```
    Adds or removes replicas in the specified global table. The global table must already exist to be able to use this operation. Any replica to be added must be empty, have the same name as the global table, have the same key schema, have DynamoDB Streams enabled, and have the same provisioned and maximum write capacity units.
    
    This operation only applies to Version 2017.11.29 (Legacy) of global tables. We recommend using Version 2019.11.21 (Current) when creating new global tables, as it provides greater flexibility, higher efficiency and consumes less write capacity than 2017.11.29 (Legacy). To determine which version you are using, see Determining the version. To update existing global tables from version 2017.11.29 (Legacy) to version 2019.11.21 (Current), see Updating global tables.
    
    This operation only applies to Version 2017.11.29 of global tables. If you are using global tables Version 2019.11.21 you can use DescribeTable instead.
    
    Although you can use UpdateGlobalTable to add replicas and remove replicas in a single request, for simplicity we recommend that you issue separate requests for adding or removing replicas.
    
    If global secondary indexes are specified, then the following conditions must also be met:
    - The global secondary indexes must have the same name.
    - The global secondary indexes must have the same hash key and sort key (if present).
    - The global secondary indexes must have the same provisioned and maximum write capacity units.
    Parameters:
    
    updateGlobalTableRequest -
    
    Returns:
    
    Result of the UpdateGlobalTable operation returned by the service.
    
    Throws:
    
    InternalServerErrorException - An error occurred on the server side.
    
    GlobalTableNotFoundException - The specified global table does not exist.
    
    ReplicaAlreadyExistsException - The specified replica is already part of the global table.
    
    ReplicaNotFoundException - The specified replica is no longer part of the global table.
    
    TableNotFoundException - A source table with the name TableName does not currently exist within the subscriber's account or the subscriber is operating in the wrong Amazon Web Services Region.
    
    See Also:
    
    AWS API Documentation
  - updateGlobalTableSettings
```
UpdateGlobalTableSettingsResult updateGlobalTableSettings(UpdateGlobalTableSettingsRequest updateGlobalTableSettingsRequest)
```
    Updates settings for a global table.
    
    This operation only applies to Version 2017.11.29 (Legacy) of global tables. We recommend using Version 2019.11.21 (Current) when creating new global tables, as it provides greater flexibility, higher efficiency and consumes less write capacity than 2017.11.29 (Legacy). To determine which version you are using, see Determining the version. To update existing global tables from version 2017.11.29 (Legacy) to version 2019.11.21 (Current), see Updating global tables.
    
    Parameters:
    
    updateGlobalTableSettingsRequest -
    
    Returns:
    
    Result of the UpdateGlobalTableSettings operation returned by the service.
    
    Throws:
    
    GlobalTableNotFoundException - The specified global table does not exist.
    
    ReplicaNotFoundException - The specified replica is no longer part of the global table.
    
    IndexNotFoundException - The operation tried to access a nonexistent index.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    ResourceInUseException - 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.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - updateItem
```
UpdateItemResult updateItem(UpdateItemRequest updateItemRequest)
```
    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.
    Parameters:
    
    updateItemRequest - Represents the input of an UpdateItem operation.
    
    Returns:
    
    Result of the UpdateItem operation returned by the service.
    
    Throws:
    
    ConditionalCheckFailedException - A condition specified in the operation could not be evaluated.
    
    ProvisionedThroughputExceededException - Your request rate is too high. The Amazon Web Services 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    ItemCollectionSizeLimitExceededException - An item collection is too large. This exception is only returned for tables that have one or more local secondary indexes.
    
    TransactionConflictException - Operation was rejected because there is an ongoing transaction for the item.
    
    RequestLimitExceededException - Throughput exceeds the current throughput quota for your account. Please contact Amazon Web Services Support to request a quota increase.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To update an item in a table
      This example updates an item in the Music table. It adds a new attribute (Year) and modifies the AlbumTitle attribute. All of the attributes in the item, as they appear after the update, are returned in the response.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); UpdateItemRequest request = new UpdateItemRequest().withTableName("Music").withReturnValues("ALL_NEW").withUpdateExpression("SET #Y = :y, #AT = :t"); UpdateItemResult response = client.updateItem(request);
  - updateItem
```
UpdateItemResult updateItem(String tableName,
                            Map<String,AttributeValue> key,
                            Map<String,AttributeValueUpdate> attributeUpdates)
```
    Simplified method form for invoking the UpdateItem operation.
    
    See Also:
    
    updateItem(UpdateItemRequest)
  - updateItem
```
UpdateItemResult updateItem(String tableName,
                            Map<String,AttributeValue> key,
                            Map<String,AttributeValueUpdate> attributeUpdates,
                            String returnValues)
```
    Simplified method form for invoking the UpdateItem operation.
    
    See Also:
    
    updateItem(UpdateItemRequest)
  - updateTable
```
UpdateTableResult updateTable(UpdateTableRequest updateTableRequest)
```
    Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.
    
    This operation only applies to Version 2019.11.21 (Current) of global tables.
    
    You can only perform one of the following operations at once:
    - Modify the provisioned throughput settings of the table.
    - Remove a global secondary index from the table.
    - Create a new global secondary index on the table. After 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.
    Parameters:
    
    updateTableRequest - Represents the input of an UpdateTable operation.
    
    Returns:
    
    Result of the UpdateTable operation returned by the service.
    
    Throws:
    
    ResourceInUseException - 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
    
    Samples:
    - To modify a table's provisioned throughput
      This example increases the provisioned read and write capacity on the Music table.
      
      AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard().build(); UpdateTableRequest request = new UpdateTableRequest().withTableName("MusicCollection").withProvisionedThroughput( new ProvisionedThroughput().withReadCapacityUnits(10L).withWriteCapacityUnits(10L)); UpdateTableResult response = client.updateTable(request);
  - updateTable
```
UpdateTableResult updateTable(String tableName,
                              ProvisionedThroughput provisionedThroughput)
```
    Simplified method form for invoking the UpdateTable operation.
    
    See Also:
    
    updateTable(UpdateTableRequest)
  - updateTableReplicaAutoScaling
```
UpdateTableReplicaAutoScalingResult updateTableReplicaAutoScaling(UpdateTableReplicaAutoScalingRequest updateTableReplicaAutoScalingRequest)
```
    Updates auto scaling settings on your global tables at once.
    
    This operation only applies to Version 2019.11.21 (Current) of global tables.
    
    Parameters:
    
    updateTableReplicaAutoScalingRequest -
    
    Returns:
    
    Result of the UpdateTableReplicaAutoScaling operation returned by the service.
    
    Throws:
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    ResourceInUseException - 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.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - updateTimeToLive
```
UpdateTimeToLiveResult updateTimeToLive(UpdateTimeToLiveRequest updateTimeToLiveRequest)
```
    The UpdateTimeToLive method enables or disables Time to Live (TTL) for the specified table. A successful UpdateTimeToLive call returns the current TimeToLiveSpecification. It can take up to one hour for the change to fully process. Any additional UpdateTimeToLive calls for the same table during this one hour duration result in a ValidationException.
    
    TTL compares the current time in epoch time format to the time stored in the TTL attribute of an item. If the epoch time value stored in the attribute is less than the current time, the item is marked as expired and subsequently deleted.
    
    The epoch time format is the number of seconds elapsed since 12:00:00 AM January 1, 1970 UTC.
    
    DynamoDB deletes expired items on a best-effort basis to ensure availability of throughput for other data operations.
    
    DynamoDB typically deletes expired items within two days of expiration. The exact duration within which an item gets deleted after expiration is specific to the nature of the workload. Items that have expired and not been deleted will still show up in reads, queries, and scans.
    
    As items are deleted, they are removed from any local secondary index and global secondary index immediately in the same eventually consistent way as a standard delete operation.
    
    For more information, see Time To Live in the Amazon DynamoDB Developer Guide.
    
    Parameters:
    
    updateTimeToLiveRequest - Represents the input of an UpdateTimeToLive operation.
    
    Returns:
    
    Result of the UpdateTimeToLive operation returned by the service.
    
    Throws:
    
    ResourceInUseException - 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.
    
    ResourceNotFoundException - The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.
    
    LimitExceededException - There is no limit to the number of daily on-demand backups that can be taken.
    
    For most purposes, up to 500 simultaneous table operations are allowed per account. These operations include CreateTable, UpdateTable, DeleteTable, UpdateTimeToLive, RestoreTableFromBackup, and RestoreTableToPointInTime.
    
    When you are creating a table with one or more secondary indexes, you can have up to 250 such requests running at a time. However, if the table or index specifications are complex, then DynamoDB might temporarily reduce the number of concurrent operations.
    
    When importing into DynamoDB, up to 50 simultaneous import table operations are allowed per account.
    
    There is a soft account quota of 2,500 tables.
    
    GetRecords was called with a value of more than 1000 for the limit request parameter.
    
    More than 2 processes are reading from the same streams shard at the same time. Exceeding this limit may result in request throttling.
    
    InternalServerErrorException - An error occurred on the server side.
    
    See Also:
    
    AWS API Documentation
  - shutdown
```
void shutdown()
```
    Shuts down this client object, releasing any resources that might be held open. This is an optional method, and callers are not expected to call it, but can if they want to explicitly release any open resources. Once a client has been shutdown, it should not be used to make any more requests.
  - getCachedResponseMetadata
```
ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
```
    Returns additional metadata for a previously executed successful request, typically used for debugging issues where a service isn't acting as expected. This data isn't considered part of the result data returned by an operation, so it's available through this separate, diagnostic interface.
    Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.
    
    Parameters:
    
    request - The originally executed request.
    
    Returns:
    
    The response metadata for the specified request, or null if none is available.
  - waiters
```
AmazonDynamoDBWaiters waiters()
```

AWS SDK for Java 1.x API Reference - 1.12.555

Interface AmazonDynamoDB

Field Summary

Method Summary

Field Detail

ENDPOINT_PREFIX

Method Detail

setEndpoint

setRegion

batchExecuteStatement

batchGetItem

To retrieve multiple items from a table

batchGetItem

batchGetItem

batchWriteItem

To add multiple items to a table

batchWriteItem

createBackup

createGlobalTable

createTable

To create a table

createTable

deleteBackup

deleteItem

To delete an item

deleteItem

deleteItem

deleteTable

To delete a table

deleteTable

describeBackup

describeContinuousBackups

describeContributorInsights

describeEndpoints

describeExport

describeGlobalTable

describeGlobalTableSettings

describeImport

describeKinesisStreamingDestination

describeLimits

To determine capacity limits per table and account, in the current AWS region

describeTable

To describe a table

describeTable

describeTableReplicaAutoScaling

describeTimeToLive

disableKinesisStreamingDestination

enableKinesisStreamingDestination

executeStatement

executeTransaction

exportTableToPointInTime

getItem

To read an item from a table

getItem

getItem

importTable

listBackups

listContributorInsights

listExports

listGlobalTables

listImports

listTables

To list tables

listTables

listTables

listTables

listTables

listTagsOfResource

putItem

To add an item to a table

putItem

putItem

query

To query an item

restoreTableFromBackup

restoreTableToPointInTime

scan

To scan a table

scan

scan