com.amazonaws.services.dynamodbv2.AmazonDynamoDB Maven / Gradle / Ivy
Show all versions of aws-java-sdk-dynamodb Show documentation
/*
* Copyright 2013-2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.dynamodbv2;
import javax.annotation.Generated;
import com.amazonaws.*;
import com.amazonaws.regions.*;
import com.amazonaws.services.dynamodbv2.model.*;
import com.amazonaws.services.dynamodbv2.waiters.AmazonDynamoDBWaiters;
/**
* Interface for accessing DynamoDB.
*
* Note: Do not directly implement this interface, new methods are added to it regularly. Extend from
* {@link com.amazonaws.services.dynamodbv2.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 AWS 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 AWS region,
* providing built-in high availability and data durability.
*
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public interface AmazonDynamoDB {
/**
* 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 RegionUtils#getRegionsForService(String)
*/
String ENDPOINT_PREFIX = "dynamodb";
/**
* 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 {@link 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:
* http://developer.amazonwebservices.com/connect/entry.jspa?externalID=3912
*
* 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.
*
* @param 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.
* @deprecated use {@link AwsClientBuilder#setEndpointConfiguration(AwsClientBuilder.EndpointConfiguration)} for
* example:
* {@code builder.setEndpointConfiguration(new EndpointConfiguration(endpoint, signingRegion));}
*/
@Deprecated
void setEndpoint(String endpoint);
/**
* An alternative to {@link AmazonDynamoDB#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
* {@link 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.
*
* @param region
* The region this client will communicate with. See {@link 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 Region#getRegion(com.amazonaws.regions.Regions)
* @see Region#createClient(Class, com.amazonaws.auth.AWSCredentialsProvider, ClientConfiguration)
* @see Region#isServiceSupported(String)
* @deprecated use {@link AwsClientBuilder#setRegion(String)}
*/
@Deprecated
void setRegion(Region region);
/**
*
* The BatchGetItem operation returns the attributes of one or more items from one or more tables. You
* identify requested items by primary key.
*
*
* A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items.
* BatchGetItem will return a partial result if the response size limit is exceeded, the table's
* provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned,
* the operation returns a value for UnprocessedKeys. You can use this value to retry the operation
* starting with the next item to get.
*
*
*
* If you request more than 100 items BatchGetItem will return a ValidationException with
* the message "Too many items requested for the BatchGetItem call".
*
*
*
* For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52
* items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so
* you can get the next page of results. If desired, your application can include its own logic to assemble the
* pages of results into one data set.
*
*
* If none of the items can be processed due to insufficient provisioned throughput on all of the tables in
* the request, then BatchGetItem will return a ProvisionedThroughputExceededException. If
* at least one of the items is successfully processed, then BatchGetItem completes
* successfully, while returning the keys of the unread items in UnprocessedKeys.
*
*
*
* If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we
* strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation
* immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If
* you delay the batch operation using exponential backoff, the individual requests in the batch are much more
* likely to succeed.
*
*
* For more information, see Batch
* Operations and Error Handling in the Amazon DynamoDB Developer Guide.
*
*
*
* By default, BatchGetItem performs eventually consistent reads on every table in the request. If you
* want strongly consistent reads instead, you can set ConsistentRead to true for any or
* all tables.
*
*
* In order to minimize response latency, BatchGetItem retrieves items in parallel.
*
*
* When designing your application, keep in mind that DynamoDB does not return items in any particular order. To
* help parse the response by item, include the primary key values for the items in your request in the
* 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 Capacity Units Calculations in the Amazon DynamoDB Developer Guide.
*
*
* @param batchGetItemRequest
* Represents the input of a BatchGetItem operation.
* @return Result of the BatchGetItem operation returned by the service.
* @throws ProvisionedThroughputExceededException
* Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this
* exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce
* the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
* @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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.BatchGetItem
* @see AWS API
* Documentation
*/
BatchGetItemResult batchGetItem(BatchGetItemRequest batchGetItemRequest);
/**
* Simplified method form for invoking the BatchGetItem operation.
*
* @see #batchGetItem(BatchGetItemRequest)
*/
BatchGetItemResult batchGetItem(java.util.Map requestItems, String returnConsumedCapacity);
/**
* Simplified method form for invoking the BatchGetItem operation.
*
* @see #batchGetItem(BatchGetItemRequest)
*/
BatchGetItemResult batchGetItem(java.util.Map requestItems);
/**
*
* The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to
* BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete
* requests. Individual items to be written can be as large as 400 KB.
*
*
*
* BatchWriteItem cannot update items. To update items, use the UpdateItem 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.
*
*
* Note that if none of the items can be processed due to insufficient provisioned throughput on all of the
* tables in the request, then BatchWriteItem will return a
* ProvisionedThroughputExceededException.
*
*
*
* If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we
* strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation
* immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If
* you delay the batch operation using exponential backoff, the individual requests in the batch are much more
* likely to succeed.
*
*
* For more information, see Batch
* Operations and Error Handling in the Amazon DynamoDB Developer Guide.
*
*
*
* With BatchWriteItem, you can efficiently write or delete large amounts of data, such as from Amazon
* Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with
* these large-scale operations, BatchWriteItem does not behave in the same way as individual
* PutItem and DeleteItem calls would. For example, you cannot specify conditions on
* individual put and delete requests, and BatchWriteItem does not return deleted items in the
* response.
*
*
* If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your
* application must include the necessary logic to manage the threads. With languages that don't support threading,
* you must update or delete the specified items one at a time. In both situations, BatchWriteItem
* 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.
*
*
*
*
* @param batchWriteItemRequest
* Represents the input of a BatchWriteItem operation.
* @return Result of the BatchWriteItem operation returned by the service.
* @throws ProvisionedThroughputExceededException
* Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this
* exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce
* the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
* @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.
* @throws ItemCollectionSizeLimitExceededException
* An item collection is too large. This exception is only returned for tables that have one or more local
* secondary indexes.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.BatchWriteItem
* @see AWS API
* Documentation
*/
BatchWriteItemResult batchWriteItem(BatchWriteItemRequest batchWriteItemRequest);
/**
* Simplified method form for invoking the BatchWriteItem operation.
*
* @see #batchWriteItem(BatchWriteItemRequest)
*/
BatchWriteItemResult batchWriteItem(java.util.Map> requestItems);
/**
*
* 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 may or may not 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
*
*
*
*
* @param createBackupRequest
* @return 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.
* @throws TableInUseException
* A target table with the specified name is either being created or deleted.
* @throws ContinuousBackupsUnavailableException
* Backups have not yet been enabled for this table.
* @throws BackupInUseException
* There is another ongoing conflicting backup control plane operation on the table. The backups is either
* being created, deleted or restored to a table.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.CreateBackup
* @see AWS API
* Documentation
*/
CreateBackupResult createBackup(CreateBackupRequest createBackupRequest);
/**
*
* 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.
*
*
* 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).
*
*
*
*
*
* 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.
*
*
*
* @param createGlobalTableRequest
* @return 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.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @throws GlobalTableAlreadyExistsException
* The specified global table already exists.
* @throws TableNotFoundException
* A source table with the name TableName does not currently exist within the subscriber's
* account.
* @sample AmazonDynamoDB.CreateGlobalTable
* @see AWS API
* Documentation
*/
CreateGlobalTableResult createGlobalTable(CreateGlobalTableRequest createGlobalTableRequest);
/**
*
* The CreateTable operation adds a new table to your account. In an AWS account, table names must be
* unique within each region. That is, you can have two tables with same name if you create the tables in different
* regions.
*
*
* CreateTable is an asynchronous operation. Upon receiving a CreateTable request,
* DynamoDB immediately returns a response with a TableStatus of CREATING. After the table
* is created, DynamoDB sets the TableStatus to ACTIVE. You can perform read and write
* operations only on an ACTIVE table.
*
*
* You can optionally define secondary indexes on the new table, as part of the CreateTable operation.
* If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially.
* Only one table with secondary indexes can be in the CREATING state at any given time.
*
*
* You can use the DescribeTable action to check the table status.
*
*
* @param createTableRequest
* Represents the input of a CreateTable operation.
* @return 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.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.CreateTable
* @see AWS API
* Documentation
*/
CreateTableResult createTable(CreateTableRequest createTableRequest);
/**
* Simplified method form for invoking the CreateTable operation.
*
* @see #createTable(CreateTableRequest)
*/
CreateTableResult createTable(java.util.List attributeDefinitions, String tableName, java.util.List keySchema,
ProvisionedThroughput provisionedThroughput);
/**
*
* Deletes an existing backup of a table.
*
*
* You can call DeleteBackup at a maximum rate of 10 times per second.
*
*
* @param deleteBackupRequest
* @return Result of the DeleteBackup operation returned by the service.
* @throws BackupNotFoundException
* Backup not found for the given BackupARN.
* @throws BackupInUseException
* There is another ongoing conflicting backup control plane operation on the table. The backups is either
* being created, deleted or restored to a table.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DeleteBackup
* @see AWS API
* Documentation
*/
DeleteBackupResult deleteBackup(DeleteBackupRequest deleteBackupRequest);
/**
*
* 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.
*
*
* @param deleteItemRequest
* Represents the input of a DeleteItem operation.
* @return Result of the DeleteItem operation returned by the service.
* @throws ConditionalCheckFailedException
* A condition specified in the operation could not be evaluated.
* @throws ProvisionedThroughputExceededException
* Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this
* exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce
* the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
* @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.
* @throws ItemCollectionSizeLimitExceededException
* An item collection is too large. This exception is only returned for tables that have one or more local
* secondary indexes.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DeleteItem
* @see AWS API
* Documentation
*/
DeleteItemResult deleteItem(DeleteItemRequest deleteItemRequest);
/**
* Simplified method form for invoking the DeleteItem operation.
*
* @see #deleteItem(DeleteItemRequest)
*/
DeleteItemResult deleteItem(String tableName, java.util.Map key);
/**
* Simplified method form for invoking the DeleteItem operation.
*
* @see #deleteItem(DeleteItemRequest)
*/
DeleteItemResult deleteItem(String tableName, java.util.Map key, String returnValues);
/**
*
* The DeleteTable operation deletes a table and all of its items. After a DeleteTable
* request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the
* table is in the ACTIVE state, you can delete it. If a table is in CREATING or
* UPDATING states, then DynamoDB returns a ResourceInUseException. If the specified table
* does not exist, DynamoDB returns a ResourceNotFoundException. If table is already in the
* DELETING state, no error is returned.
*
*
*
* DynamoDB might continue to accept data read and write operations, such as GetItem and
* PutItem, on a table in the DELETING state until the table deletion is complete.
*
*
*
* When you delete a table, any indexes on that table are also deleted.
*
*
* If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the
* DISABLED state, and the stream is automatically deleted after 24 hours.
*
*
* Use the DescribeTable action to check the status of the table.
*
*
* @param deleteTableRequest
* Represents the input of a DeleteTable operation.
* @return 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.
* @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.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DeleteTable
* @see AWS API
* Documentation
*/
DeleteTableResult deleteTable(DeleteTableRequest deleteTableRequest);
/**
* Simplified method form for invoking the DeleteTable operation.
*
* @see #deleteTable(DeleteTableRequest)
*/
DeleteTableResult deleteTable(String tableName);
/**
*
* Describes an existing backup of a table.
*
*
* You can call DescribeBackup at a maximum rate of 10 times per second.
*
*
* @param describeBackupRequest
* @return Result of the DescribeBackup operation returned by the service.
* @throws BackupNotFoundException
* Backup not found for the given BackupARN.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DescribeBackup
* @see AWS API
* Documentation
*/
DescribeBackupResult describeBackup(DescribeBackupRequest describeBackupRequest);
/**
*
* 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.
*
*
* 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.
*
*
* You can call DescribeContinuousBackups at a maximum rate of 10 times per second.
*
*
* @param describeContinuousBackupsRequest
* @return 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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DescribeContinuousBackups
* @see AWS API Documentation
*/
DescribeContinuousBackupsResult describeContinuousBackups(DescribeContinuousBackupsRequest describeContinuousBackupsRequest);
/**
*
* Returns information about the specified global table.
*
*
* @param describeGlobalTableRequest
* @return Result of the DescribeGlobalTable operation returned by the service.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @throws GlobalTableNotFoundException
* The specified global table does not exist.
* @sample AmazonDynamoDB.DescribeGlobalTable
* @see AWS
* API Documentation
*/
DescribeGlobalTableResult describeGlobalTable(DescribeGlobalTableRequest describeGlobalTableRequest);
/**
*
* Describes region specific settings for a global table.
*
*
* @param describeGlobalTableSettingsRequest
* @return Result of the DescribeGlobalTableSettings operation returned by the service.
* @throws GlobalTableNotFoundException
* The specified global table does not exist.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DescribeGlobalTableSettings
* @see AWS API Documentation
*/
DescribeGlobalTableSettingsResult describeGlobalTableSettings(DescribeGlobalTableSettingsRequest describeGlobalTableSettingsRequest);
/**
*
* Returns the current provisioned-capacity limits for your AWS account in a region, both for the region as a whole
* and for any one DynamoDB table that you create there.
*
*
* When you establish an AWS account, the account has initial limits on the maximum read capacity units and write
* capacity units that you can provision across all of your DynamoDB tables in a given region. Also, there are
* per-table limits that apply when you create a table there. For more information, see Limits page in the
* Amazon DynamoDB Developer Guide.
*
*
* Although you can increase these limits by filing a case at AWS Support Center, obtaining the increase is not
* instantaneous. The DescribeLimits action lets you write code to compare the capacity you are
* currently using to those limits imposed by your account so that you have enough time to apply for an increase
* before you hit a limit.
*
*
* For example, you could use one of the AWS SDKs to do the following:
*
*
* -
*
* Call DescribeLimits for a particular region to obtain your current account limits on provisioned
* capacity there.
*
*
* -
*
* 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.
*
*
* -
*
* Call ListTables to obtain a list of all your DynamoDB tables.
*
*
* -
*
* 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.
*
*
*
*
* -
*
* Report the account limits for that region returned by DescribeLimits, along with the total current
* provisioned capacity levels you have calculated.
*
*
*
*
* This will let you see whether you are getting close to your account-level limits.
*
*
* The per-table limits apply only when you are creating a new table. They restrict the sum of the provisioned
* capacity of the new table itself and all its global secondary indexes.
*
*
* For existing tables and their GSIs, DynamoDB will not let you increase provisioned capacity extremely rapidly,
* but the only upper limit that applies is that the aggregate provisioned capacity over all your tables and GSIs
* cannot exceed either of the per-account limits.
*
*
*
* DescribeLimits should only be called periodically. You can expect throttling errors if you call it
* more than once in a minute.
*
*
*
* The DescribeLimits Request element has no content.
*
*
* @param describeLimitsRequest
* Represents the input of a DescribeLimits operation. Has no content.
* @return Result of the DescribeLimits operation returned by the service.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DescribeLimits
* @see AWS API
* Documentation
*/
DescribeLimitsResult describeLimits(DescribeLimitsRequest describeLimitsRequest);
/**
*
* Returns information about the table, including the current status of the table, when it was created, the primary
* key schema, and any indexes on the table.
*
*
*
* If you issue a DescribeTable request immediately after a CreateTable request, DynamoDB
* might return a ResourceNotFoundException. This is because DescribeTable uses an
* eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a
* few seconds, and then try the DescribeTable request again.
*
*
*
* @param describeTableRequest
* Represents the input of a DescribeTable operation.
* @return 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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DescribeTable
* @see AWS API
* Documentation
*/
DescribeTableResult describeTable(DescribeTableRequest describeTableRequest);
/**
* Simplified method form for invoking the DescribeTable operation.
*
* @see #describeTable(DescribeTableRequest)
*/
DescribeTableResult describeTable(String tableName);
/**
*
* Gives a description of the Time to Live (TTL) status on the specified table.
*
*
* @param describeTimeToLiveRequest
* @return 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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.DescribeTimeToLive
* @see AWS
* API Documentation
*/
DescribeTimeToLiveResult describeTimeToLive(DescribeTimeToLiveRequest describeTimeToLiveRequest);
/**
*
* 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.
*
*
* @param getItemRequest
* Represents the input of a GetItem operation.
* @return Result of the GetItem operation returned by the service.
* @throws ProvisionedThroughputExceededException
* Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this
* exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce
* the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
* @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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.GetItem
* @see AWS API
* Documentation
*/
GetItemResult getItem(GetItemRequest getItemRequest);
/**
* Simplified method form for invoking the GetItem operation.
*
* @see #getItem(GetItemRequest)
*/
GetItemResult getItem(String tableName, java.util.Map key);
/**
* Simplified method form for invoking the GetItem operation.
*
* @see #getItem(GetItemRequest)
*/
GetItemResult getItem(String tableName, java.util.Map key, Boolean consistentRead);
/**
*
* List backups associated with an AWS account. To list backups for a given table, specify TableName.
* ListBackups returns a paginated list of results with at most 1MB worth of items in a page. You can
* also specify a limit for the 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 limits are for the time at
* which the original backup was requested.
*
*
* You can call ListBackups a maximum of 5 times per second.
*
*
* @param listBackupsRequest
* @return Result of the ListBackups operation returned by the service.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.ListBackups
* @see AWS API
* Documentation
*/
ListBackupsResult listBackups(ListBackupsRequest listBackupsRequest);
/**
*
* Lists all global tables that have a replica in the specified region.
*
*
* @param listGlobalTablesRequest
* @return Result of the ListGlobalTables operation returned by the service.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.ListGlobalTables
* @see AWS API
* Documentation
*/
ListGlobalTablesResult listGlobalTables(ListGlobalTablesRequest listGlobalTablesRequest);
/**
*
* 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.
*
*
* @param listTablesRequest
* Represents the input of a ListTables operation.
* @return Result of the ListTables operation returned by the service.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.ListTables
* @see AWS API
* Documentation
*/
ListTablesResult listTables(ListTablesRequest listTablesRequest);
/**
* Simplified method form for invoking the ListTables operation.
*
* @see #listTables(ListTablesRequest)
*/
ListTablesResult listTables();
/**
* Simplified method form for invoking the ListTables operation.
*
* @see #listTables(ListTablesRequest)
*/
ListTablesResult listTables(String exclusiveStartTableName);
/**
* Simplified method form for invoking the ListTables operation.
*
* @see #listTables(ListTablesRequest)
*/
ListTablesResult listTables(String exclusiveStartTableName, Integer limit);
/**
* Simplified method form for invoking the ListTables operation.
*
* @see #listTables(ListTablesRequest)
*/
ListTablesResult listTables(Integer limit);
/**
*
* 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.
*
*
* @param listTagsOfResourceRequest
* @return 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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.ListTagsOfResource
* @see AWS
* API Documentation
*/
ListTagsOfResourceResult listTagsOfResource(ListTagsOfResourceRequest listTagsOfResourceRequest);
/**
*
* 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.
*
*
*
* This topic provides general information about the PutItem API.
*
*
* For information on how to call the PutItem API using the AWS SDK in specific languages, see the
* following:
*
*
* -
*
*
* -
*
*
* -
*
*
* -
*
*
* -
*
*
* -
*
*
* -
*
*
* -
*
*
* -
*
*
*
*
*
* When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be
* null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty.
* Requests with empty values will be rejected with a ValidationException exception.
*
*
*
* 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.
*
*
* @param putItemRequest
* Represents the input of a PutItem operation.
* @return Result of the PutItem operation returned by the service.
* @throws ConditionalCheckFailedException
* A condition specified in the operation could not be evaluated.
* @throws ProvisionedThroughputExceededException
* Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this
* exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce
* the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
* @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.
* @throws ItemCollectionSizeLimitExceededException
* An item collection is too large. This exception is only returned for tables that have one or more local
* secondary indexes.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.PutItem
* @see AWS API
* Documentation
*/
PutItemResult putItem(PutItemRequest putItemRequest);
/**
* Simplified method form for invoking the PutItem operation.
*
* @see #putItem(PutItemRequest)
*/
PutItemResult putItem(String tableName, java.util.Map item);
/**
* Simplified method form for invoking the PutItem operation.
*
* @see #putItem(PutItemRequest)
*/
PutItemResult putItem(String tableName, java.util.Map item, String returnValues);
/**
*
* The Query operation finds items based on primary key values. You can query any table or secondary
* index that has a composite primary key (a partition key and a sort key).
*
*
* 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.
*
*
* @param queryRequest
* Represents the input of a Query operation.
* @return Result of the Query operation returned by the service.
* @throws ProvisionedThroughputExceededException
* Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this
* exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce
* the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
* @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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.Query
* @see AWS API
* Documentation
*/
QueryResult query(QueryRequest queryRequest);
/**
*
* Creates a new table from an existing backup. Any number of users can execute up to 4 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
*
*
* -
*
* Cloudwatch metrics and alarms
*
*
* -
*
* Tags
*
*
* -
*
* Stream settings
*
*
* -
*
* Time to Live (TTL) settings
*
*
*
*
* @param restoreTableFromBackupRequest
* @return Result of the RestoreTableFromBackup operation returned by the service.
* @throws TableAlreadyExistsException
* A target table with the specified name already exists.
* @throws TableInUseException
* A target table with the specified name is either being created or deleted.
* @throws BackupNotFoundException
* Backup not found for the given BackupARN.
* @throws BackupInUseException
* There is another ongoing conflicting backup control plane operation on the table. The backups is either
* being created, deleted or restored to a table.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.RestoreTableFromBackup
* @see AWS API Documentation
*/
RestoreTableFromBackupResult restoreTableFromBackup(RestoreTableFromBackupRequest restoreTableFromBackupRequest);
/**
*
* 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
*
*
* -
*
* Cloudwatch metrics and alarms
*
*
* -
*
* Tags
*
*
* -
*
* Stream settings
*
*
* -
*
* Time to Live (TTL) settings
*
*
* -
*
* Point in time recovery settings
*
*
*
*
* @param restoreTableToPointInTimeRequest
* @return Result of the RestoreTableToPointInTime operation returned by the service.
* @throws TableAlreadyExistsException
* A target table with the specified name already exists.
* @throws TableNotFoundException
* A source table with the name TableName does not currently exist within the subscriber's
* account.
* @throws TableInUseException
* A target table with the specified name is either being created or deleted.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InvalidRestoreTimeException
* An invalid restore time was specified. RestoreDateTime must be between EarliestRestorableDateTime and
* LatestRestorableDateTime.
* @throws PointInTimeRecoveryUnavailableException
* Point in time recovery has not yet been enabled for this source table.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.RestoreTableToPointInTime
* @see AWS API Documentation
*/
RestoreTableToPointInTimeResult restoreTableToPointInTime(RestoreTableToPointInTimeRequest restoreTableToPointInTimeRequest);
/**
*
* 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 number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results
* are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation.
* The results also include the number of items exceeding the limit. A scan can result in no table data meeting the
* filter criteria.
*
*
* A single Scan 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.
*
*
* 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.
*
*
* Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set
* might not include the changes to data in the table immediately before the operation began. If you need a
* consistent copy of the data, as of the time that the Scan begins, you can set the
* ConsistentRead parameter to true.
*
*
* @param scanRequest
* Represents the input of a Scan operation.
* @return Result of the Scan operation returned by the service.
* @throws ProvisionedThroughputExceededException
* Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this
* exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce
* the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
* @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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.Scan
* @see AWS API
* Documentation
*/
ScanResult scan(ScanRequest scanRequest);
/**
* Simplified method form for invoking the Scan operation.
*
* @see #scan(ScanRequest)
*/
ScanResult scan(String tableName, java.util.List attributesToGet);
/**
* Simplified method form for invoking the Scan operation.
*
* @see #scan(ScanRequest)
*/
ScanResult scan(String tableName, java.util.Map scanFilter);
/**
* Simplified method form for invoking the Scan operation.
*
* @see #scan(ScanRequest)
*/
ScanResult scan(String tableName, java.util.List attributesToGet, java.util.Map scanFilter);
/**
*
* 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 5 times per second, per account.
*
*
* For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in
* the Amazon DynamoDB Developer Guide.
*
*
* @param tagResourceRequest
* @return 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.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @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.
* @sample AmazonDynamoDB.TagResource
* @see AWS API
* Documentation
*/
TagResourceResult tagResource(TagResourceRequest tagResourceRequest);
/**
*
* Removes the association of tags from an Amazon DynamoDB resource. You can call UntagResource up to 5 times per
* second, per account.
*
*
* For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in
* the Amazon DynamoDB Developer Guide.
*
*
* @param untagResourceRequest
* @return 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.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @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.
* @sample AmazonDynamoDB.UntagResource
* @see AWS API
* Documentation
*/
UntagResourceResult untagResource(UntagResourceRequest untagResourceRequest);
/**
*
* 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..
*
*
* @param updateContinuousBackupsRequest
* @return 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.
* @throws ContinuousBackupsUnavailableException
* Backups have not yet been enabled for this table.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.UpdateContinuousBackups
* @see AWS API Documentation
*/
UpdateContinuousBackupsResult updateContinuousBackups(UpdateContinuousBackupsRequest updateContinuousBackupsRequest);
/**
*
* 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, must have the same name as the global table, must have the
* same key schema, and must have DynamoDB Streams enabled and must have same provisioned and maximum write capacity
* units.
*
*
*
* 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.
*
*
*
*
* @param updateGlobalTableRequest
* @return Result of the UpdateGlobalTable operation returned by the service.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @throws GlobalTableNotFoundException
* The specified global table does not exist.
* @throws ReplicaAlreadyExistsException
* The specified replica is already part of the global table.
* @throws ReplicaNotFoundException
* The specified replica is no longer part of the global table.
* @throws TableNotFoundException
* A source table with the name TableName does not currently exist within the subscriber's
* account.
* @sample AmazonDynamoDB.UpdateGlobalTable
* @see AWS API
* Documentation
*/
UpdateGlobalTableResult updateGlobalTable(UpdateGlobalTableRequest updateGlobalTableRequest);
/**
*
* Updates settings for a global table.
*
*
* @param updateGlobalTableSettingsRequest
* @return Result of the UpdateGlobalTableSettings operation returned by the service.
* @throws GlobalTableNotFoundException
* The specified global table does not exist.
* @throws ReplicaNotFoundException
* The specified replica is no longer part of the global table.
* @throws IndexNotFoundException
* The operation tried to access a nonexistent index.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @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.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.UpdateGlobalTableSettings
* @see AWS API Documentation
*/
UpdateGlobalTableSettingsResult updateGlobalTableSettings(UpdateGlobalTableSettingsRequest updateGlobalTableSettingsRequest);
/**
*
* 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.
*
*
* @param updateItemRequest
* Represents the input of an UpdateItem operation.
* @return Result of the UpdateItem operation returned by the service.
* @throws ConditionalCheckFailedException
* A condition specified in the operation could not be evaluated.
* @throws ProvisionedThroughputExceededException
* Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this
* exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce
* the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
* @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.
* @throws ItemCollectionSizeLimitExceededException
* An item collection is too large. This exception is only returned for tables that have one or more local
* secondary indexes.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.UpdateItem
* @see AWS API
* Documentation
*/
UpdateItemResult updateItem(UpdateItemRequest updateItemRequest);
/**
* Simplified method form for invoking the UpdateItem operation.
*
* @see #updateItem(UpdateItemRequest)
*/
UpdateItemResult updateItem(String tableName, java.util.Map key, java.util.Map attributeUpdates);
/**
* Simplified method form for invoking the UpdateItem operation.
*
* @see #updateItem(UpdateItemRequest)
*/
UpdateItemResult updateItem(String tableName, java.util.Map key, java.util.Map attributeUpdates,
String returnValues);
/**
*
* Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given
* table.
*
*
* You can only perform one of the following operations at once:
*
*
* -
*
* Modify the provisioned throughput settings of the table.
*
*
* -
*
* Enable or disable Streams on the table.
*
*
* -
*
* Remove a global secondary index from the table.
*
*
* -
*
* Create a new global secondary index on the table. Once the index begins backfilling, you can use
* UpdateTable to perform other operations.
*
*
*
*
* UpdateTable is an asynchronous operation; while it is executing, the table status changes from
* ACTIVE to UPDATING. While it is UPDATING, you cannot issue another
* UpdateTable request. When the table returns to the ACTIVE state, the
* UpdateTable operation is complete.
*
*
* @param updateTableRequest
* Represents the input of an UpdateTable operation.
* @return 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.
* @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.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.UpdateTable
* @see AWS API
* Documentation
*/
UpdateTableResult updateTable(UpdateTableRequest updateTableRequest);
/**
* Simplified method form for invoking the UpdateTable operation.
*
* @see #updateTable(UpdateTableRequest)
*/
UpdateTableResult updateTable(String tableName, ProvisionedThroughput provisionedThroughput);
/**
*
* The UpdateTimeToLive method will enable or disable TTL for the specified table. A successful
* UpdateTimeToLive call returns the current TimeToLiveSpecification; it may 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 1st, 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.
*
*
* @param updateTimeToLiveRequest
* Represents the input of an UpdateTimeToLive operation.
* @return 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.
* @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.
* @throws LimitExceededException
* There is no limit to the number of daily on-demand backups that can be taken.
*
* Up to 10 simultaneous table operations are allowed per account. These operations include
* CreateTable, UpdateTable, DeleteTable,
* UpdateTimeToLive, RestoreTableFromBackup, and
* RestoreTableToPointInTime.
*
*
* For tables with secondary indexes, only one of those tables can be in the CREATING state at
* any point in time. Do not attempt to create more than one such table simultaneously.
*
*
* The total limit of tables in the ACTIVE state is 250.
* @throws InternalServerErrorException
* An error occurred on the server side.
* @sample AmazonDynamoDB.UpdateTimeToLive
* @see AWS API
* Documentation
*/
UpdateTimeToLiveResult updateTimeToLive(UpdateTimeToLiveRequest updateTimeToLiveRequest);
/**
* 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.
*/
void shutdown();
/**
* 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.
*
* @param request
* The originally executed request.
*
* @return The response metadata for the specified request, or null if none is available.
*/
ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request);
AmazonDynamoDBWaiters waiters();
}