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/*
* Copyright 2010-2015 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 java.net.*;
import java.util.*;
import org.apache.commons.logging.*;
import com.amazonaws.*;
import com.amazonaws.regions.*;
import com.amazonaws.auth.*;
import com.amazonaws.handlers.*;
import com.amazonaws.http.*;
import com.amazonaws.regions.*;
import com.amazonaws.internal.*;
import com.amazonaws.metrics.*;
import com.amazonaws.transform.*;
import com.amazonaws.util.*;
import com.amazonaws.util.AWSRequestMetrics.Field;
import com.amazonaws.util.json.*;
import com.amazonaws.services.dynamodbv2.model.*;
import com.amazonaws.services.dynamodbv2.model.transform.*;
/**
* Client for accessing AmazonDynamoDBv2. All service calls made
* using this client are blocking, and will not return until the service call
* completes.
*
* Amazon DynamoDB Overview
* This is the Amazon DynamoDB API Reference. This guide provides
* descriptions and samples of the low-level DynamoDB API. For
* information about DynamoDB application development, go to the
* Amazon DynamoDB Developer Guide
* .
*
*
* Instead of making the requests to the low-level DynamoDB API directly
* from your application, we recommend that you use the AWS Software
* Development Kits (SDKs). The easy-to-use libraries in the AWS SDKs
* make it unnecessary to call the low-level DynamoDB API directly from
* your application. The libraries take care of request authentication,
* serialization, and connection management. For more information, go to
* Using the AWS SDKs with DynamoDB
* in the Amazon DynamoDB Developer Guide .
*
*
* If you decide to code against the low-level DynamoDB API directly, you
* will need to write the necessary code to authenticate your requests.
* For more information on signing your requests, go to
* Using the DynamoDB API
* in the Amazon DynamoDB Developer Guide .
*
*
* The following are short descriptions of each low-level API action,
* organized by function.
*
*
* Managing Tables
*
*
*
*
* -
* CreateTable - Creates a table with user-specified provisioned
* throughput settings. You must designate one attribute as the hash
* primary key for the table; you can optionally designate a second
* attribute as the range primary key. DynamoDB creates indexes on these
* key attributes for fast data access. Optionally, you can create one or
* more secondary indexes, which provide fast data access using non-key
* attributes.
*
*
* -
* DescribeTable - Returns metadata for a table, such as table
* size, status, and index information.
*
*
* -
* UpdateTable - Modifies the provisioned throughput settings for
* a table. Optionally, you can modify the provisioned throughput
* settings for global secondary indexes on the table.
*
*
* -
* ListTables - Returns a list of all tables associated with the
* current AWS account and endpoint.
*
*
* -
* DeleteTable - Deletes a table and all of its indexes.
*
*
*
*
*
*
*
* For conceptual information about managing tables, go to
* Working with Tables
* in the Amazon DynamoDB Developer Guide .
*
*
* Reading Data
*
*
*
*
* -
* GetItem - Returns a set of attributes for the item that has a
* given primary key. By default, GetItem performs an eventually
* consistent read; however, applications can specify a strongly
* consistent read instead.
*
*
* -
* BatchGetItem - Performs multiple GetItem requests for
* data items using their primary keys, from one table or multiple
* tables. The response from BatchGetItem has a size limit of 1 MB
* and returns a maximum of 100 items. Both eventually consistent and
* strongly consistent reads can be used.
*
*
* -
* Query - Returns one or more items from a table or a secondary
* index. You must provide a specific hash key value. You can narrow the
* scope of the query using comparison operators against a range key
* value, or on the index key. Query supports either eventual or
* strong consistency. A single response has a size limit of 1 MB.
*
*
* -
* Scan - Reads every item in a table; the result set is
* eventually consistent. You can limit the number of items returned by
* filtering the data attributes, using conditional expressions.
* Scan can be used to enable ad-hoc querying of a table against
* non-key attributes; however, since this is a full table scan without
* using an index, Scan should not be used for any application
* query use case that requires predictable performance.
*
*
*
*
*
*
*
* For conceptual information about reading data, go to
* Working with Items and Query and Scan Operations
* in the Amazon DynamoDB Developer Guide .
*
*
* Modifying Data
*
*
*
*
* -
* PutItem - Creates a new item, or replaces an existing item
* with a new item (including all the attributes). By default, if an item
* in the table already exists with the same primary key, the new item
* completely replaces the existing item. You can use conditional
* operators to replace an item only if its attribute values match
* certain conditions, or to insert a new item only if that item doesn't
* already exist.
*
*
* -
* UpdateItem - Modifies the attributes of an existing item. You
* can also use conditional operators to perform an update only if the
* item's attribute values match certain conditions.
*
*
* -
* DeleteItem - Deletes an item in a table by primary key. You
* can use conditional operators to perform a delete an item only if the
* item's attribute values match certain conditions.
*
*
* -
* BatchWriteItem - Performs multiple PutItem and
* DeleteItem requests across multiple tables in a single request.
* A failure of any request(s) in the batch will not cause the entire
* BatchWriteItem operation to fail. Supports batches of up to 25
* items to put or delete, with a maximum total request size of 1 MB.
*
*
*
*
*
*
*
* For conceptual information about modifying data, go to
* Working with Items and Query and Scan Operations
* in the Amazon DynamoDB Developer Guide .
*
*/
public class AmazonDynamoDBClient extends AmazonWebServiceClient implements AmazonDynamoDB {
// register the service specific set of predefined metrics
static {
AwsSdkMetrics.addAll(Arrays.asList(com.amazonaws.services.dynamodbv2.metrics.DynamoDBRequestMetric.values()));
}
/** Provider for AWS credentials. */
private AWSCredentialsProvider awsCredentialsProvider;
private static final Log log = LogFactory.getLog(AmazonDynamoDB.class);
/**
* List of exception unmarshallers for all AmazonDynamoDBv2 exceptions.
*/
protected List jsonErrorUnmarshallers;
/**
* Constructs a new client to invoke service methods on
* AmazonDynamoDBv2. A credentials provider chain will be used
* that searches for credentials in this order:
*
* - Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
* - Java System Properties - aws.accessKeyId and aws.secretKey
* - Instance profile credentials delivered through the Amazon EC2 metadata service
*
*
*
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @see DefaultAWSCredentialsProviderChain
*/
public AmazonDynamoDBClient() {
this(new DefaultAWSCredentialsProviderChain(), new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* AmazonDynamoDBv2. A credentials provider chain will be used
* that searches for credentials in this order:
*
* - Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
* - Java System Properties - aws.accessKeyId and aws.secretKey
* - Instance profile credentials delivered through the Amazon EC2 metadata service
*
*
*
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @param clientConfiguration The client configuration options controlling how this
* client connects to AmazonDynamoDBv2
* (ex: proxy settings, retry counts, etc.).
*
* @see DefaultAWSCredentialsProviderChain
*/
public AmazonDynamoDBClient(ClientConfiguration clientConfiguration) {
this(new DefaultAWSCredentialsProviderChain(), clientConfiguration);
}
/**
* Constructs a new client to invoke service methods on
* AmazonDynamoDBv2 using the specified AWS account credentials.
*
*
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @param awsCredentials The AWS credentials (access key ID and secret key) to use
* when authenticating with AWS services.
*/
public AmazonDynamoDBClient(AWSCredentials awsCredentials) {
this(awsCredentials, new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* AmazonDynamoDBv2 using the specified AWS account credentials
* and client configuration options.
*
*
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @param awsCredentials The AWS credentials (access key ID and secret key) to use
* when authenticating with AWS services.
* @param clientConfiguration The client configuration options controlling how this
* client connects to AmazonDynamoDBv2
* (ex: proxy settings, retry counts, etc.).
*/
public AmazonDynamoDBClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration) {
super(adjustClientConfiguration(clientConfiguration));
this.awsCredentialsProvider = new StaticCredentialsProvider(awsCredentials);
init();
}
/**
* Constructs a new client to invoke service methods on
* AmazonDynamoDBv2 using the specified AWS account credentials provider.
*
*
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials
* to authenticate requests with AWS services.
*/
public AmazonDynamoDBClient(AWSCredentialsProvider awsCredentialsProvider) {
this(awsCredentialsProvider, new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* AmazonDynamoDBv2 using the specified AWS account credentials
* provider and client configuration options.
*
*
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials
* to authenticate requests with AWS services.
* @param clientConfiguration The client configuration options controlling how this
* client connects to AmazonDynamoDBv2
* (ex: proxy settings, retry counts, etc.).
*/
public AmazonDynamoDBClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration) {
this(awsCredentialsProvider, clientConfiguration, null);
}
/**
* Constructs a new client to invoke service methods on
* AmazonDynamoDBv2 using the specified AWS account credentials
* provider, client configuration options and request metric collector.
*
*
* All service calls made using this new client object are blocking, and will not
* return until the service call completes.
*
* @param awsCredentialsProvider
* The AWS credentials provider which will provide credentials
* to authenticate requests with AWS services.
* @param clientConfiguration The client configuration options controlling how this
* client connects to AmazonDynamoDBv2
* (ex: proxy settings, retry counts, etc.).
* @param requestMetricCollector optional request metric collector
*/
public AmazonDynamoDBClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration,
RequestMetricCollector requestMetricCollector) {
super(adjustClientConfiguration(clientConfiguration), requestMetricCollector);
this.awsCredentialsProvider = awsCredentialsProvider;
init();
}
private void init() {
jsonErrorUnmarshallers = new ArrayList();
jsonErrorUnmarshallers.add(new ProvisionedThroughputExceededExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new ItemCollectionSizeLimitExceededExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new LimitExceededExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new ConditionalCheckFailedExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new InternalServerErrorExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new ResourceInUseExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new ResourceNotFoundExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new JsonErrorUnmarshaller());
// calling this.setEndPoint(...) will also modify the signer accordingly
this.setEndpoint("dynamodb.us-east-1.amazonaws.com/");
HandlerChainFactory chainFactory = new HandlerChainFactory();
requestHandler2s.addAll(chainFactory.newRequestHandlerChain(
"/com/amazonaws/services/dynamodbv2/request.handlers"));
requestHandler2s.addAll(chainFactory.newRequestHandler2Chain(
"/com/amazonaws/services/dynamodbv2/request.handler2s"));
}
private static ClientConfiguration adjustClientConfiguration(ClientConfiguration orig) {
ClientConfiguration config = orig;
config = new ClientConfiguration(orig);
if (config.getRetryPolicy() == com.amazonaws.retry.PredefinedRetryPolicies.DEFAULT) {
config.setRetryPolicy(com.amazonaws.retry.PredefinedRetryPolicies.DYNAMODB_DEFAULT);
}
return config;
}
/**
*
* The Scan operation returns one or more items and item
* attributes by accessing every item in the table. To have DynamoDB
* return fewer items, you can provide a ScanFilter .
*
*
* 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 with a LastEvaluatedKey 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.
*
*
* The result set is eventually consistent.
*
*
* By default, Scan operations proceed sequentially; however, for
* faster performance on large tables, applications can request a
* parallel Scan by specifying the Segment and
* TotalSegments parameters. For more information, see
* Parallel Scan
* in the Amazon DynamoDB Developer Guide.
*
*
* @param scanRequest Container for the necessary parameters to execute
* the Scan service method on AmazonDynamoDBv2.
*
* @return The response from the Scan service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ScanResult scan(ScanRequest scanRequest) {
ExecutionContext executionContext = createExecutionContext(scanRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ScanRequestMarshaller().marshall(scanRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new ScanResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* Updates the provisioned throughput for the given table. Setting the
* throughput for a table helps you manage performance and is part of the
* provisioned throughput feature of DynamoDB.
*
*
* The provisioned throughput values can be upgraded or downgraded based
* on the maximums and minimums listed in the
* Limits
* section in the Amazon DynamoDB Developer Guide.
*
*
* The table must be in the ACTIVE state for this operation
* to succeed. UpdateTable is an asynchronous operation; while
* executing the operation, the table is in the UPDATING
* state. While the table is in the UPDATING state, the
* table still has the provisioned throughput from before the call. The
* new provisioned throughput setting is in effect only when the table
* returns to the ACTIVE state after the UpdateTable
* operation.
*
*
* You cannot add, modify or delete indexes using UpdateTable .
* Indexes can only be defined at table creation time.
*
*
* @param updateTableRequest Container for the necessary parameters to
* execute the UpdateTable service method on AmazonDynamoDBv2.
*
* @return The response from the UpdateTable service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceInUseException
* @throws ResourceNotFoundException
* @throws LimitExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public UpdateTableResult updateTable(UpdateTableRequest updateTableRequest) {
ExecutionContext executionContext = createExecutionContext(updateTableRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new UpdateTableRequestMarshaller().marshall(updateTableRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new UpdateTableResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* 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.
*
*
* NOTE: 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.
*
*
* Use the DescribeTable API to check the status of the table.
*
*
* @param deleteTableRequest Container for the necessary parameters to
* execute the DeleteTable service method on AmazonDynamoDBv2.
*
* @return The response from the DeleteTable service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceInUseException
* @throws ResourceNotFoundException
* @throws LimitExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public DeleteTableResult deleteTable(DeleteTableRequest deleteTableRequest) {
ExecutionContext executionContext = createExecutionContext(deleteTableRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DeleteTableRequestMarshaller().marshall(deleteTableRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new DeleteTableResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* The BatchWriteItem operation puts or deletes multiple items in
* one or more tables. A single call to BatchWriteItem can write
* up to 1 MB of data, which can comprise as many as 25 put or delete
* requests. Individual items to be written can be as large as 64 KB.
*
*
* NOTE: BatchWriteItem cannot update items. To update items, use
* the UpdateItem API.
*
*
* The individual PutItem and DeleteItem operations
* specified in BatchWriteItem are atomic; however
* BatchWriteItem as a whole is not. If any requested operations
* fail because the table's provisioned throughput is exceeded or an
* internal processing failure occurs, the failed operations are returned
* in the UnprocessedItems response parameter. You can investigate
* and optionally resend the requests. Typically, you would call
* BatchWriteItem in a loop. Each iteration would check for
* unprocessed items and submit a new BatchWriteItem request with
* those unprocessed items until all items have been processed.
*
*
* Note that if none of the items can be processed due to
* insufficient provisioned throughput on all of the tables in the
* request, then BatchGetItem will throw a
* ProvisionedThroughputExceededException .
*
*
* To write one item, you can use the PutItem operation; to
* delete one item, you can use the DeleteItem operation.
*
*
* 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, such as
* Java, 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, such as PHP, you must update or delete
* the specified items one at a time. In both situations,
* BatchWriteItem provides an alternative where the API performs
* the specified put and delete operations in parallel, giving you the
* power of the thread pool approach without having to introduce
* complexity into your application.
*
*
* Parallel processing reduces latency, but each specified put and
* delete request consumes the same number of write capacity units
* whether it is processed in parallel or not. Delete operations on
* nonexistent items consume one write capacity unit.
*
*
* If one or more of the following is true, DynamoDB rejects the entire
* batch write operation:
*
*
*
* -
* One or more tables specified in the BatchWriteItem request
* does not exist.
*
*
* -
* Primary key attributes specified on an item in the request do not
* match those in the corresponding table's primary key schema.
*
*
* -
* You try to perform multiple operations on the same item in the same
* BatchWriteItem request. For example, you cannot put and delete
* the same item in the same BatchWriteItem request.
*
*
* -
* The total request size exceeds 1 MB.
*
*
* -
* Any individual item in a batch exceeds 64 KB.
*
*
*
*
*
* @param batchWriteItemRequest Container for the necessary parameters to
* execute the BatchWriteItem service method on AmazonDynamoDBv2.
*
* @return The response from the BatchWriteItem service method, as
* returned by AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public BatchWriteItemResult batchWriteItem(BatchWriteItemRequest batchWriteItemRequest) {
ExecutionContext executionContext = createExecutionContext(batchWriteItemRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new BatchWriteItemRequestMarshaller().marshall(batchWriteItemRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new BatchWriteItemResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* 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.
*
*
* @param describeTableRequest Container for the necessary parameters to
* execute the DescribeTable service method on AmazonDynamoDBv2.
*
* @return The response from the DescribeTable service method, as
* returned by AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public DescribeTableResult describeTable(DescribeTableRequest describeTableRequest) {
ExecutionContext executionContext = createExecutionContext(describeTableRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeTableRequestMarshaller().marshall(describeTableRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new DescribeTableResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* The GetItem operation returns a set of attributes for the item
* with the given primary key. If there is no matching item,
* GetItem does not return any data.
*
*
* GetItem provides an eventually consistent read by default. If
* your application requires a strongly consistent read, set
* ConsistentRead to true . Although a strongly
* consistent read might take more time than an eventually consistent
* read, it always returns the last updated value.
*
*
* @param getItemRequest Container for the necessary parameters to
* execute the GetItem service method on AmazonDynamoDBv2.
*
* @return The response from the GetItem service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public GetItemResult getItem(GetItemRequest getItemRequest) {
ExecutionContext executionContext = createExecutionContext(getItemRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new GetItemRequestMarshaller().marshall(getItemRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new GetItemResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* 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 only deleting items if specific
* conditions are met. If those conditions are met, DynamoDB performs the
* delete. Otherwise, the item is not deleted.
*
*
* @param deleteItemRequest Container for the necessary parameters to
* execute the DeleteItem service method on AmazonDynamoDBv2.
*
* @return The response from the DeleteItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public DeleteItemResult deleteItem(DeleteItemRequest deleteItemRequest) {
ExecutionContext executionContext = createExecutionContext(deleteItemRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DeleteItemRequestMarshaller().marshall(deleteItemRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new DeleteItemResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* 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.
*
*
* If you want to create multiple tables with secondary indexes on them,
* you must create them sequentially. Only one table with secondary
* indexes can be in the CREATING state at any given time.
*
*
* You can use the DescribeTable API to check the table status.
*
*
* @param createTableRequest Container for the necessary parameters to
* execute the CreateTable service method on AmazonDynamoDBv2.
*
* @return The response from the CreateTable service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceInUseException
* @throws LimitExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public CreateTableResult createTable(CreateTableRequest createTableRequest) {
ExecutionContext executionContext = createExecutionContext(createTableRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new CreateTableRequestMarshaller().marshall(createTableRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new CreateTableResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* A Query operation directly accesses items from a table using
* the table primary key, or from an index using the index key. You must
* provide a specific hash key value. You can narrow the scope of the
* query by using comparison operators on the range key value, or on the
* index key. You can use the ScanIndexForward parameter to get
* results in forward or reverse order, by range key or by index key.
*
*
* Queries that do not return results consume the minimum read capacity
* units according to the type of read.
*
*
* If the total number of items meeting the query criteria exceeds the
* result set size limit of 1 MB, the query stops and results are
* returned to the user with a LastEvaluatedKey to continue the
* query in a subsequent operation. Unlike a Scan operation, a
* Query operation never returns an empty result set and a
* LastEvaluatedKey . The LastEvaluatedKey is only provided
* if the results exceed 1 MB, or if you have used Limit .
*
*
* 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 ConsistentRead 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 Container for the necessary parameters to execute
* the Query service method on AmazonDynamoDBv2.
*
* @return The response from the Query service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public QueryResult query(QueryRequest queryRequest) {
ExecutionContext executionContext = createExecutionContext(queryRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new QueryRequestMarshaller().marshall(queryRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new QueryResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* Creates a new item, or replaces an old item with a new item. If an
* item already exists in the specified table with the same primary key,
* the new item completely replaces the existing item. You can perform a
* conditional put (insert a new item if one with the specified primary
* key doesn't exist), or replace an existing item if it has certain
* attribute values.
*
*
* In addition to putting an item, you can also return the item's
* attribute values in the same operation, using the ReturnValues
* parameter.
*
*
* When you add an item, the primary key attribute(s) are the only
* required attributes. Attribute values cannot be null. String and
* binary type attributes must have lengths greater than zero. Set type
* attributes cannot be empty. Requests with empty values will be
* rejected with a ValidationException .
*
*
* You can request that PutItem return either a copy of the old
* item (before the update) or a copy of the new item (after the update).
* For more information, see the ReturnValues description.
*
*
* NOTE: To prevent a new item from replacing an existing item,
* use a conditional put operation with ComparisonOperator set to NULL
* for the primary key attribute, or attributes.
*
*
* For more information about using this API, see
* Working with Items
* in the Amazon DynamoDB Developer Guide.
*
*
* @param putItemRequest Container for the necessary parameters to
* execute the PutItem service method on AmazonDynamoDBv2.
*
* @return The response from the PutItem service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public PutItemResult putItem(PutItemRequest putItemRequest) {
ExecutionContext executionContext = createExecutionContext(putItemRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new PutItemRequestMarshaller().marshall(putItemRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new PutItemResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* 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 Container for the necessary parameters to
* execute the ListTables service method on AmazonDynamoDBv2.
*
* @return The response from the ListTables service method, as returned
* by AmazonDynamoDBv2.
*
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ListTablesResult listTables(ListTablesRequest listTablesRequest) {
ExecutionContext executionContext = createExecutionContext(listTablesRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListTablesRequestMarshaller().marshall(listTablesRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new ListTablesResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* Edits an existing item's attributes, or inserts a new item if it does
* not already exist. You can put, delete, or add attribute values. You
* can also perform a conditional update (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).
*
*
* In addition to updating an item, you can also return the item's
* attribute values in the same operation, using the ReturnValues
* parameter.
*
*
* @param updateItemRequest Container for the necessary parameters to
* execute the UpdateItem service method on AmazonDynamoDBv2.
*
* @return The response from the UpdateItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public UpdateItemResult updateItem(UpdateItemRequest updateItemRequest) {
ExecutionContext executionContext = createExecutionContext(updateItemRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new UpdateItemRequestMarshaller().marshall(updateItemRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new UpdateItemResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* 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 1 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.
*
*
* For example, if you ask to retrieve 100 items, but each individual
* item is 50 KB in size, the system returns 20 items (1 MB) and 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 will throw 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 .
*
*
* 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 attributes in any particular order. To help parse the response
* by item, include the primary key values for the items in your request
* in the AttributesToGet parameter.
*
*
* If a requested item does not exist, it is not returned in the result.
* Requests for nonexistent items consume the minimum read capacity units
* according to the type of read. For more information, see
* Capacity Units Calculations
* in the Amazon DynamoDB Developer Guide.
*
*
* @param batchGetItemRequest Container for the necessary parameters to
* execute the BatchGetItem service method on AmazonDynamoDBv2.
*
* @return The response from the BatchGetItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public BatchGetItemResult batchGetItem(BatchGetItemRequest batchGetItemRequest) {
ExecutionContext executionContext = createExecutionContext(batchGetItemRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new BatchGetItemRequestMarshaller().marshall(batchGetItemRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller unmarshaller = new BatchGetItemResultJsonUnmarshaller();
JsonResponseHandler responseHandler = new JsonResponseHandler(unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
*
* 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.
*
*
* @return The response from the ListTables service method, as returned
* by AmazonDynamoDBv2.
*
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ListTablesResult listTables() throws AmazonServiceException, AmazonClientException {
return listTables(new ListTablesRequest());
}
/**
*
* The Scan operation returns one or more items and item
* attributes by accessing every item in the table. To have DynamoDB
* return fewer items, you can provide a ScanFilter .
*
*
* 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 with a LastEvaluatedKey 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.
*
*
* The result set is eventually consistent.
*
*
* By default, Scan operations proceed sequentially; however, for
* faster performance on large tables, applications can request a
* parallel Scan by specifying the Segment and
* TotalSegments parameters. For more information, see
* Parallel Scan
* in the Amazon DynamoDB Developer Guide.
*
*
* @param tableName The name of the table containing the requested items.
* @param attributesToGet The names of one or more attributes to
* retrieve. If no attribute names are specified, then all attributes
* will be returned. If any of the requested attributes are not found,
* they will not appear in the result. Note that
* AttributesToGet has no effect on provisioned throughput
* consumption. DynamoDB determines capacity units consumed based on item
* size, not on the amount of data that is returned to an application.
*
* @return The response from the Scan service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ScanResult scan(String tableName, java.util.List attributesToGet)
throws AmazonServiceException, AmazonClientException {
ScanRequest scanRequest = new ScanRequest();
scanRequest.setTableName(tableName);
scanRequest.setAttributesToGet(attributesToGet);
return scan(scanRequest);
}
/**
*
* The Scan operation returns one or more items and item
* attributes by accessing every item in the table. To have DynamoDB
* return fewer items, you can provide a ScanFilter .
*
*
* 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 with a LastEvaluatedKey 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.
*
*
* The result set is eventually consistent.
*
*
* By default, Scan operations proceed sequentially; however, for
* faster performance on large tables, applications can request a
* parallel Scan by specifying the Segment and
* TotalSegments parameters. For more information, see
* Parallel Scan
* in the Amazon DynamoDB Developer Guide.
*
*
* @param tableName The name of the table containing the requested items.
* @param scanFilter Evaluates the scan results and returns only the
* desired values. If you specify more than one condition in the
* ScanFilter map, then by default all of the conditions must
* evaluate to true. In other words, the conditions are ANDed together.
* (You can use the ConditionalOperator parameter to OR the
* conditions instead. If you do this, then at least one of the
* conditions must evaluate to true, rather than all of them.)
Each
* ScanFilter element consists of an attribute name to compare,
* along with the following:
-
AttributeValueList - One
* or more values to evaluate against the supplied attribute. The number
* of values in the list depends on the ComparisonOperator being
* used.
For type Number, value comparisons are numeric.
String
* value comparisons for greater than, equals, or less than are based on
* ASCII character code values. For example, a is greater
* than A, and aa is greater than
* B. For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters.
*
For Binary, DynamoDB treats each byte of the binary data as
* unsigned when it compares binary values, for example when evaluating
* query expressions.
For information on specifying data types in
* JSON, see JSON
* Data Format in the Amazon DynamoDB Developer Guide.
* ComparisonOperator - A comparator for evaluating
* attributes. For example, equals, greater than, less than, etc.
The
* following comparison operators are available:
EQ | NE | LE |
* LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH
* | IN | BETWEEN
For complete descriptions of all comparison
* operators, see API_Condition.html.
*
*
* @return The response from the Scan service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ScanResult scan(String tableName, java.util.Map scanFilter)
throws AmazonServiceException, AmazonClientException {
ScanRequest scanRequest = new ScanRequest();
scanRequest.setTableName(tableName);
scanRequest.setScanFilter(scanFilter);
return scan(scanRequest);
}
/**
*
* The Scan operation returns one or more items and item
* attributes by accessing every item in the table. To have DynamoDB
* return fewer items, you can provide a ScanFilter .
*
*
* 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 with a LastEvaluatedKey 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.
*
*
* The result set is eventually consistent.
*
*
* By default, Scan operations proceed sequentially; however, for
* faster performance on large tables, applications can request a
* parallel Scan by specifying the Segment and
* TotalSegments parameters. For more information, see
* Parallel Scan
* in the Amazon DynamoDB Developer Guide.
*
*
* @param tableName The name of the table containing the requested items.
* @param attributesToGet The names of one or more attributes to
* retrieve. If no attribute names are specified, then all attributes
* will be returned. If any of the requested attributes are not found,
* they will not appear in the result. Note that
* AttributesToGet has no effect on provisioned throughput
* consumption. DynamoDB determines capacity units consumed based on item
* size, not on the amount of data that is returned to an application.
* @param scanFilter Evaluates the scan results and returns only the
* desired values.
If you specify more than one condition in the
* ScanFilter map, then by default all of the conditions must
* evaluate to true. In other words, the conditions are ANDed together.
* (You can use the ConditionalOperator parameter to OR the
* conditions instead. If you do this, then at least one of the
* conditions must evaluate to true, rather than all of them.)
Each
* ScanFilter element consists of an attribute name to compare,
* along with the following:
-
AttributeValueList - One
* or more values to evaluate against the supplied attribute. The number
* of values in the list depends on the ComparisonOperator being
* used.
For type Number, value comparisons are numeric.
String
* value comparisons for greater than, equals, or less than are based on
* ASCII character code values. For example, a is greater
* than A, and aa is greater than
* B. For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters.
*
For Binary, DynamoDB treats each byte of the binary data as
* unsigned when it compares binary values, for example when evaluating
* query expressions.
For information on specifying data types in
* JSON, see JSON
* Data Format in the Amazon DynamoDB Developer Guide.
* ComparisonOperator - A comparator for evaluating
* attributes. For example, equals, greater than, less than, etc.
The
* following comparison operators are available:
EQ | NE | LE |
* LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH
* | IN | BETWEEN
For complete descriptions of all comparison
* operators, see API_Condition.html.
*
*
* @return The response from the Scan service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ScanResult scan(String tableName, java.util.List attributesToGet, java.util.Map scanFilter)
throws AmazonServiceException, AmazonClientException {
ScanRequest scanRequest = new ScanRequest();
scanRequest.setTableName(tableName);
scanRequest.setAttributesToGet(attributesToGet);
scanRequest.setScanFilter(scanFilter);
return scan(scanRequest);
}
/**
*
* Updates the provisioned throughput for the given table. Setting the
* throughput for a table helps you manage performance and is part of the
* provisioned throughput feature of DynamoDB.
*
*
* The provisioned throughput values can be upgraded or downgraded based
* on the maximums and minimums listed in the
* Limits
* section in the Amazon DynamoDB Developer Guide.
*
*
* The table must be in the ACTIVE state for this operation
* to succeed. UpdateTable is an asynchronous operation; while
* executing the operation, the table is in the UPDATING
* state. While the table is in the UPDATING state, the
* table still has the provisioned throughput from before the call. The
* new provisioned throughput setting is in effect only when the table
* returns to the ACTIVE state after the UpdateTable
* operation.
*
*
* You cannot add, modify or delete indexes using UpdateTable .
* Indexes can only be defined at table creation time.
*
*
* @param tableName The name of the table to be updated.
* @param provisionedThroughput Represents the provisioned throughput
* settings for a specified table or index. The settings can be modified
* using the UpdateTable operation. For current minimum and
* maximum provisioned throughput values, see Limits
* in the Amazon DynamoDB Developer Guide.
*
* @return The response from the UpdateTable service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceInUseException
* @throws ResourceNotFoundException
* @throws LimitExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public UpdateTableResult updateTable(String tableName, ProvisionedThroughput provisionedThroughput)
throws AmazonServiceException, AmazonClientException {
UpdateTableRequest updateTableRequest = new UpdateTableRequest();
updateTableRequest.setTableName(tableName);
updateTableRequest.setProvisionedThroughput(provisionedThroughput);
return updateTable(updateTableRequest);
}
/**
*
* 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.
*
*
* NOTE: 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.
*
*
* Use the DescribeTable API to check the status of the table.
*
*
* @param tableName The name of the table to delete.
*
* @return The response from the DeleteTable service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceInUseException
* @throws ResourceNotFoundException
* @throws LimitExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public DeleteTableResult deleteTable(String tableName)
throws AmazonServiceException, AmazonClientException {
DeleteTableRequest deleteTableRequest = new DeleteTableRequest();
deleteTableRequest.setTableName(tableName);
return deleteTable(deleteTableRequest);
}
/**
*
* The BatchWriteItem operation puts or deletes multiple items in
* one or more tables. A single call to BatchWriteItem can write
* up to 1 MB of data, which can comprise as many as 25 put or delete
* requests. Individual items to be written can be as large as 64 KB.
*
*
* NOTE: BatchWriteItem cannot update items. To update items, use
* the UpdateItem API.
*
*
* The individual PutItem and DeleteItem operations
* specified in BatchWriteItem are atomic; however
* BatchWriteItem as a whole is not. If any requested operations
* fail because the table's provisioned throughput is exceeded or an
* internal processing failure occurs, the failed operations are returned
* in the UnprocessedItems response parameter. You can investigate
* and optionally resend the requests. Typically, you would call
* BatchWriteItem in a loop. Each iteration would check for
* unprocessed items and submit a new BatchWriteItem request with
* those unprocessed items until all items have been processed.
*
*
* Note that if none of the items can be processed due to
* insufficient provisioned throughput on all of the tables in the
* request, then BatchGetItem will throw a
* ProvisionedThroughputExceededException .
*
*
* To write one item, you can use the PutItem operation; to
* delete one item, you can use the DeleteItem operation.
*
*
* 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, such as
* Java, 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, such as PHP, you must update or delete
* the specified items one at a time. In both situations,
* BatchWriteItem provides an alternative where the API performs
* the specified put and delete operations in parallel, giving you the
* power of the thread pool approach without having to introduce
* complexity into your application.
*
*
* Parallel processing reduces latency, but each specified put and
* delete request consumes the same number of write capacity units
* whether it is processed in parallel or not. Delete operations on
* nonexistent items consume one write capacity unit.
*
*
* If one or more of the following is true, DynamoDB rejects the entire
* batch write operation:
*
*
*
* -
* One or more tables specified in the BatchWriteItem request
* does not exist.
*
*
* -
* Primary key attributes specified on an item in the request do not
* match those in the corresponding table's primary key schema.
*
*
* -
* You try to perform multiple operations on the same item in the same
* BatchWriteItem request. For example, you cannot put and delete
* the same item in the same BatchWriteItem request.
*
*
* -
* The total request size exceeds 1 MB.
*
*
* -
* Any individual item in a batch exceeds 64 KB.
*
*
*
*
*
* @param requestItems A map of one or more table names and, for each
* table, a list of operations to be performed (DeleteRequest or
* PutRequest). Each element in the map consists of the following:
* -
DeleteRequest - Perform a DeleteItem
* operation on the specified item. The item to be deleted is identified
* by a Key subelement:
-
Key - A map of primary
* key attribute values that uniquely identify the item. Each entry in
* this map consists of an attribute name and an attribute value.
*
-
PutRequest - Perform a PutItem
* operation on the specified item. The item to be put is identified by
* an Item subelement:
-
Item - A map of
* attributes and their values. Each entry in this map consists of an
* attribute name and an attribute value. Attribute values must not be
* null; string and binary type attributes must have lengths greater than
* zero; and set type attributes must not be empty. Requests that contain
* empty values will be rejected with a ValidationException.
If
* you specify any attributes that are part of an index key, then the
* data types for those attributes must match those of the schema in the
* table's attribute definition.
*
* @return The response from the BatchWriteItem service method, as
* returned by AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public BatchWriteItemResult batchWriteItem(java.util.Map> requestItems)
throws AmazonServiceException, AmazonClientException {
BatchWriteItemRequest batchWriteItemRequest = new BatchWriteItemRequest();
batchWriteItemRequest.setRequestItems(requestItems);
return batchWriteItem(batchWriteItemRequest);
}
/**
*
* 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.
*
*
* @param tableName The name of the table to describe.
*
* @return The response from the DescribeTable service method, as
* returned by AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public DescribeTableResult describeTable(String tableName)
throws AmazonServiceException, AmazonClientException {
DescribeTableRequest describeTableRequest = new DescribeTableRequest();
describeTableRequest.setTableName(tableName);
return describeTable(describeTableRequest);
}
/**
*
* The GetItem operation returns a set of attributes for the item
* with the given primary key. If there is no matching item,
* GetItem does not return any data.
*
*
* GetItem provides an eventually consistent read by default. If
* your application requires a strongly consistent read, set
* ConsistentRead to true . Although a strongly
* consistent read might take more time than an eventually consistent
* read, it always returns the last updated value.
*
*
* @param tableName The name of the table containing the requested item.
* @param key A map of attribute names to AttributeValue objects,
* representing the primary key of the item to retrieve.
*
* @return The response from the GetItem service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public GetItemResult getItem(String tableName, java.util.Map key)
throws AmazonServiceException, AmazonClientException {
GetItemRequest getItemRequest = new GetItemRequest();
getItemRequest.setTableName(tableName);
getItemRequest.setKey(key);
return getItem(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.
*
*
* 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 tableName The name of the table containing the requested item.
* @param key A map of attribute names to AttributeValue objects,
* representing the primary key of the item to retrieve.
* @param consistentRead If set to true, then the operation
* uses strongly consistent reads; otherwise, eventually consistent reads
* are used.
*
* @return The response from the GetItem service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public GetItemResult getItem(String tableName, java.util.Map key, Boolean consistentRead)
throws AmazonServiceException, AmazonClientException {
GetItemRequest getItemRequest = new GetItemRequest();
getItemRequest.setTableName(tableName);
getItemRequest.setKey(key);
getItemRequest.setConsistentRead(consistentRead);
return getItem(getItemRequest);
}
/**
*
* 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 only deleting items if specific
* conditions are met. If those conditions are met, DynamoDB performs the
* delete. Otherwise, the item is not deleted.
*
*
* @param tableName The name of the table from which to delete the item.
* @param key A map of attribute names to AttributeValue objects,
* representing the primary key of the item to delete.
*
* @return The response from the DeleteItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public DeleteItemResult deleteItem(String tableName, java.util.Map key)
throws AmazonServiceException, AmazonClientException {
DeleteItemRequest deleteItemRequest = new DeleteItemRequest();
deleteItemRequest.setTableName(tableName);
deleteItemRequest.setKey(key);
return deleteItem(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 only deleting items if specific
* conditions are met. If those conditions are met, DynamoDB performs the
* delete. Otherwise, the item is not deleted.
*
*
* @param tableName The name of the table from which to delete the item.
* @param key A map of attribute names to AttributeValue objects,
* representing the primary key of the item to delete.
* @param returnValues Use ReturnValues if you want to get the
* item attributes as they appeared before they were deleted. For
* DeleteItem, the valid values are: -
*
NONE - If ReturnValues is not specified, or if
* its value is NONE, then nothing is returned. (This is the
* default for ReturnValues.)
-
ALL_OLD -
* The content of the old item is returned.
*
* @return The response from the DeleteItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public DeleteItemResult deleteItem(String tableName, java.util.Map key, String returnValues)
throws AmazonServiceException, AmazonClientException {
DeleteItemRequest deleteItemRequest = new DeleteItemRequest();
deleteItemRequest.setTableName(tableName);
deleteItemRequest.setKey(key);
deleteItemRequest.setReturnValues(returnValues);
return deleteItem(deleteItemRequest);
}
/**
*
* 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.
*
*
* If you want to create multiple tables with secondary indexes on them,
* you must create them sequentially. Only one table with secondary
* indexes can be in the CREATING state at any given time.
*
*
* You can use the DescribeTable API to check the table status.
*
*
* @param attributeDefinitions An array of attributes that describe the
* key schema for the table and indexes.
* @param tableName The name of the table to create.
* @param keySchema Specifies the attributes that make up the primary key
* for a table or an index. The attributes in KeySchema must also
* be defined in the AttributeDefinitions array. For more
* information, see Data
* Model in the Amazon DynamoDB Developer Guide. Each
* KeySchemaElement in the array is composed of:
-
*
AttributeName - The name of this key attribute.
-
*
KeyType - Determines whether the key attribute is
* HASH or RANGE.
For a primary
* key that consists of a hash attribute, you must specify exactly one
* element with a KeyType of HASH.
For a primary
* key that consists of hash and range attributes, you must specify
* exactly two elements, in this order: The first element must have a
* KeyType of HASH, and the second element must have
* a KeyType of RANGE.
For more information, see
* Specifying
* the Primary Key in the Amazon DynamoDB Developer Guide.
* @param provisionedThroughput Represents the provisioned throughput
* settings for a specified table or index. The settings can be modified
* using the UpdateTable operation.
For current minimum and
* maximum provisioned throughput values, see Limits
* in the Amazon DynamoDB Developer Guide.
*
* @return The response from the CreateTable service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceInUseException
* @throws LimitExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public CreateTableResult createTable(java.util.List attributeDefinitions, String tableName, java.util.List keySchema, ProvisionedThroughput provisionedThroughput)
throws AmazonServiceException, AmazonClientException {
CreateTableRequest createTableRequest = new CreateTableRequest();
createTableRequest.setAttributeDefinitions(attributeDefinitions);
createTableRequest.setTableName(tableName);
createTableRequest.setKeySchema(keySchema);
createTableRequest.setProvisionedThroughput(provisionedThroughput);
return createTable(createTableRequest);
}
/**
*
* Creates a new item, or replaces an old item with a new item. If an
* item already exists in the specified table with the same primary key,
* the new item completely replaces the existing item. You can perform a
* conditional put (insert a new item if one with the specified primary
* key doesn't exist), or replace an existing item if it has certain
* attribute values.
*
*
* In addition to putting an item, you can also return the item's
* attribute values in the same operation, using the ReturnValues
* parameter.
*
*
* When you add an item, the primary key attribute(s) are the only
* required attributes. Attribute values cannot be null. String and
* binary type attributes must have lengths greater than zero. Set type
* attributes cannot be empty. Requests with empty values will be
* rejected with a ValidationException .
*
*
* You can request that PutItem return either a copy of the old
* item (before the update) or a copy of the new item (after the update).
* For more information, see the ReturnValues description.
*
*
* NOTE: To prevent a new item from replacing an existing item,
* use a conditional put operation with ComparisonOperator set to NULL
* for the primary key attribute, or attributes.
*
*
* For more information about using this API, see
* Working with Items
* in the Amazon DynamoDB Developer Guide.
*
*
* @param tableName The name of the table to contain the item.
* @param item A map of attribute name/value pairs, one for each
* attribute. Only the primary key attributes are required; you can
* optionally provide other attribute name-value pairs for the item.
* If you specify any attributes that are part of an index key, then
* the data types for those attributes must match those of the schema in
* the table's attribute definition.
For more information about
* primary keys, see Primary
* Key in the Amazon DynamoDB Developer Guide.
Each element in the
* Item map is an AttributeValue object.
*
* @return The response from the PutItem service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public PutItemResult putItem(String tableName, java.util.Map item)
throws AmazonServiceException, AmazonClientException {
PutItemRequest putItemRequest = new PutItemRequest();
putItemRequest.setTableName(tableName);
putItemRequest.setItem(item);
return putItem(putItemRequest);
}
/**
*
* Creates a new item, or replaces an old item with a new item. If an
* item already exists in the specified table with the same primary key,
* the new item completely replaces the existing item. You can perform a
* conditional put (insert a new item if one with the specified primary
* key doesn't exist), or replace an existing item if it has certain
* attribute values.
*
*
* In addition to putting an item, you can also return the item's
* attribute values in the same operation, using the ReturnValues
* parameter.
*
*
* When you add an item, the primary key attribute(s) are the only
* required attributes. Attribute values cannot be null. String and
* binary type attributes must have lengths greater than zero. Set type
* attributes cannot be empty. Requests with empty values will be
* rejected with a ValidationException .
*
*
* You can request that PutItem return either a copy of the old
* item (before the update) or a copy of the new item (after the update).
* For more information, see the ReturnValues description.
*
*
* NOTE: To prevent a new item from replacing an existing item,
* use a conditional put operation with ComparisonOperator set to NULL
* for the primary key attribute, or attributes.
*
*
* For more information about using this API, see
* Working with Items
* in the Amazon DynamoDB Developer Guide.
*
*
* @param tableName The name of the table to contain the item.
* @param item A map of attribute name/value pairs, one for each
* attribute. Only the primary key attributes are required; you can
* optionally provide other attribute name-value pairs for the item.
* If you specify any attributes that are part of an index key, then
* the data types for those attributes must match those of the schema in
* the table's attribute definition.
For more information about
* primary keys, see Primary
* Key in the Amazon DynamoDB Developer Guide.
Each element in the
* Item map is an AttributeValue object.
* @param returnValues Use ReturnValues if you want to get the
* item attributes as they appeared before they were updated with the
* PutItem request. For PutItem, the valid values are:
* -
NONE - If ReturnValues is not specified,
* or if its value is NONE, then nothing is returned. (This
* is the default for ReturnValues.)
-
*
ALL_OLD - If PutItem overwrote an attribute
* name-value pair, then the content of the old item is returned.
*
*
* @return The response from the PutItem service method, as returned by
* AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public PutItemResult putItem(String tableName, java.util.Map item, String returnValues)
throws AmazonServiceException, AmazonClientException {
PutItemRequest putItemRequest = new PutItemRequest();
putItemRequest.setTableName(tableName);
putItemRequest.setItem(item);
putItemRequest.setReturnValues(returnValues);
return putItem(putItemRequest);
}
/**
*
* 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 exclusiveStartTableName The first table name that this
* operation will evaluate. Use the value that was returned for
* LastEvaluatedTableName in a previous operation, so that you can
* obtain the next page of results.
*
* @return The response from the ListTables service method, as returned
* by AmazonDynamoDBv2.
*
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ListTablesResult listTables(String exclusiveStartTableName)
throws AmazonServiceException, AmazonClientException {
ListTablesRequest listTablesRequest = new ListTablesRequest();
listTablesRequest.setExclusiveStartTableName(exclusiveStartTableName);
return listTables(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.
*
*
* @param exclusiveStartTableName The first table name that this
* operation will evaluate. Use the value that was returned for
* LastEvaluatedTableName in a previous operation, so that you can
* obtain the next page of results.
* @param limit A maximum number of table names to return. If this
* parameter is not specified, the limit is 100.
*
* @return The response from the ListTables service method, as returned
* by AmazonDynamoDBv2.
*
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ListTablesResult listTables(String exclusiveStartTableName, Integer limit)
throws AmazonServiceException, AmazonClientException {
ListTablesRequest listTablesRequest = new ListTablesRequest();
listTablesRequest.setExclusiveStartTableName(exclusiveStartTableName);
listTablesRequest.setLimit(limit);
return listTables(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.
*
*
* @param limit A maximum number of table names to return. If this
* parameter is not specified, the limit is 100.
*
* @return The response from the ListTables service method, as returned
* by AmazonDynamoDBv2.
*
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public ListTablesResult listTables(Integer limit)
throws AmazonServiceException, AmazonClientException {
ListTablesRequest listTablesRequest = new ListTablesRequest();
listTablesRequest.setLimit(limit);
return listTables(listTablesRequest);
}
/**
*
* Edits an existing item's attributes, or inserts a new item if it does
* not already exist. You can put, delete, or add attribute values. You
* can also perform a conditional update (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).
*
*
* In addition to updating an item, you can also return the item's
* attribute values in the same operation, using the ReturnValues
* parameter.
*
*
* @param tableName The name of the table containing the item to update.
* @param key The primary key that defines the item. Each element
* consists of an attribute name and a value for that attribute.
* @param attributeUpdates The names of attributes to be modified, the
* action to perform on each, and the new value for each. If you are
* updating an attribute that is an index key attribute for any indexes
* on that table, the attribute type must match the index key type
* defined in the AttributesDefinition of the table description.
* You can use UpdateItem to update any non-key attributes.
* Attribute values cannot be null. String and binary type attributes
* must have lengths greater than zero. Set type attributes must not be
* empty. Requests with empty values will be rejected with a
* ValidationException.
Each AttributeUpdates element
* consists of an attribute name to modify, along with the following:
*
-
Value - The new value, if applicable, for this
* attribute.
-
Action - Specifies how to perform the
* update. Valid values for Action are PUT,
* DELETE, and ADD. The behavior depends on
* whether the specified primary key already exists in the table.
* If an item with the specified Key is found in the table:
*
-
PUT - Adds the specified attribute to the
* item. If the attribute already exists, it is replaced by the new
* value.
-
DELETE - If no value is specified,
* the attribute and its value are removed from the item. The data type
* of the specified value must match the existing value's data type.
*
If a set of values is specified, then those values are
* subtracted from the old set. For example, if the attribute value was
* the set [a,b,c] and the DELETE action specified
* [a,c], then the final attribute value would be
* [b]. Specifying an empty set is an error.
-
*
ADD - If the attribute does not already exist, then
* the attribute and its values are added to the item. If the attribute
* does exist, then the behavior of ADD depends on the data
* type of the attribute:
-
If the existing attribute is a
* number, and if Value is also a number, then the Value is
* mathematically added to the existing attribute. If Value is a
* negative number, then it is subtracted from the existing attribute.
* If you use ADD to increment or decrement a
* number value for an item that doesn't exist before the update,
* DynamoDB uses 0 as the initial value.
In addition, if you use
* ADD to update an existing item, and intend to increment
* or decrement an attribute value which does not yet exist, DynamoDB
* uses 0 as the initial value. For example, suppose that
* the item you want to update does not yet have an attribute named
* itemcount, but you decide to ADD the number
* 3 to this attribute anyway, even though it currently does
* not exist. DynamoDB will create the itemcount attribute, set
* its initial value to 0, and finally add 3 to
* it. The result will be a new itemcount attribute in the item,
* with a value of 3.
-
If the existing
* data type is a set, and if the Value is also a set, then the
* Value is added to the existing set. (This is a set
* operation, not mathematical addition.) For example, if the attribute
* value was the set [1,2], and the ADD action
* specified [3], then the final attribute value would be
* [1,2,3]. An error occurs if an Add action is specified
* for a set attribute and the attribute type specified does not match
* the existing set type.
Both sets must have the same primitive data
* type. For example, if the existing data type is a set of strings, the
* Value must also be a set of strings. The same holds true for
* number sets and binary sets.
This action is only valid
* for an existing attribute whose data type is number or is a set. Do
* not use ADD for any other data types.
* If no item with the specified Key is found:
-
*
PUT - DynamoDB creates a new item with the specified
* primary key, and then adds the attribute.
-
*
DELETE - Nothing happens; there is no attribute to
* delete.
-
ADD - DynamoDB creates an item with
* the supplied primary key and number (or set of numbers) for the
* attribute value. The only data types allowed are number and number
* set; no other data types can be specified.
* If you specify any attributes that are part of an index key, then
* the data types for those attributes must match those of the schema in
* the table's attribute definition.
*
* @return The response from the UpdateItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public UpdateItemResult updateItem(String tableName, java.util.Map key, java.util.Map attributeUpdates)
throws AmazonServiceException, AmazonClientException {
UpdateItemRequest updateItemRequest = new UpdateItemRequest();
updateItemRequest.setTableName(tableName);
updateItemRequest.setKey(key);
updateItemRequest.setAttributeUpdates(attributeUpdates);
return updateItem(updateItemRequest);
}
/**
*
* Edits an existing item's attributes, or inserts a new item if it does
* not already exist. You can put, delete, or add attribute values. You
* can also perform a conditional update (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).
*
*
* In addition to updating an item, you can also return the item's
* attribute values in the same operation, using the ReturnValues
* parameter.
*
*
* @param tableName The name of the table containing the item to update.
* @param key The primary key that defines the item. Each element
* consists of an attribute name and a value for that attribute.
* @param attributeUpdates The names of attributes to be modified, the
* action to perform on each, and the new value for each. If you are
* updating an attribute that is an index key attribute for any indexes
* on that table, the attribute type must match the index key type
* defined in the AttributesDefinition of the table description.
* You can use UpdateItem to update any non-key attributes.
* Attribute values cannot be null. String and binary type attributes
* must have lengths greater than zero. Set type attributes must not be
* empty. Requests with empty values will be rejected with a
* ValidationException.
Each AttributeUpdates element
* consists of an attribute name to modify, along with the following:
*
-
Value - The new value, if applicable, for this
* attribute.
-
Action - Specifies how to perform the
* update. Valid values for Action are PUT,
* DELETE, and ADD. The behavior depends on
* whether the specified primary key already exists in the table.
* If an item with the specified Key is found in the table:
*
-
PUT - Adds the specified attribute to the
* item. If the attribute already exists, it is replaced by the new
* value.
-
DELETE - If no value is specified,
* the attribute and its value are removed from the item. The data type
* of the specified value must match the existing value's data type.
*
If a set of values is specified, then those values are
* subtracted from the old set. For example, if the attribute value was
* the set [a,b,c] and the DELETE action specified
* [a,c], then the final attribute value would be
* [b]. Specifying an empty set is an error.
-
*
ADD - If the attribute does not already exist, then
* the attribute and its values are added to the item. If the attribute
* does exist, then the behavior of ADD depends on the data
* type of the attribute:
-
If the existing attribute is a
* number, and if Value is also a number, then the Value is
* mathematically added to the existing attribute. If Value is a
* negative number, then it is subtracted from the existing attribute.
* If you use ADD to increment or decrement a
* number value for an item that doesn't exist before the update,
* DynamoDB uses 0 as the initial value.
In addition, if you use
* ADD to update an existing item, and intend to increment
* or decrement an attribute value which does not yet exist, DynamoDB
* uses 0 as the initial value. For example, suppose that
* the item you want to update does not yet have an attribute named
* itemcount, but you decide to ADD the number
* 3 to this attribute anyway, even though it currently does
* not exist. DynamoDB will create the itemcount attribute, set
* its initial value to 0, and finally add 3 to
* it. The result will be a new itemcount attribute in the item,
* with a value of 3.
-
If the existing
* data type is a set, and if the Value is also a set, then the
* Value is added to the existing set. (This is a set
* operation, not mathematical addition.) For example, if the attribute
* value was the set [1,2], and the ADD action
* specified [3], then the final attribute value would be
* [1,2,3]. An error occurs if an Add action is specified
* for a set attribute and the attribute type specified does not match
* the existing set type.
Both sets must have the same primitive data
* type. For example, if the existing data type is a set of strings, the
* Value must also be a set of strings. The same holds true for
* number sets and binary sets.
This action is only valid
* for an existing attribute whose data type is number or is a set. Do
* not use ADD for any other data types.
* If no item with the specified Key is found:
-
*
PUT - DynamoDB creates a new item with the specified
* primary key, and then adds the attribute.
-
*
DELETE - Nothing happens; there is no attribute to
* delete.
-
ADD - DynamoDB creates an item with
* the supplied primary key and number (or set of numbers) for the
* attribute value. The only data types allowed are number and number
* set; no other data types can be specified.
* If you specify any attributes that are part of an index key, then
* the data types for those attributes must match those of the schema in
* the table's attribute definition.
* @param returnValues Use ReturnValues if you want to get the
* item attributes as they appeared either before or after they were
* updated. For UpdateItem, the valid values are:
-
*
NONE - If ReturnValues is not specified, or if
* its value is NONE, then nothing is returned. (This is the
* default for ReturnValues.)
-
ALL_OLD -
* If UpdateItem overwrote an attribute name-value pair, then the
* content of the old item is returned.
-
*
UPDATED_OLD - The old versions of only the updated
* attributes are returned.
-
ALL_NEW - All of
* the attributes of the new version of the item are returned.
-
*
UPDATED_NEW - The new versions of only the updated
* attributes are returned.
*
* @return The response from the UpdateItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ItemCollectionSizeLimitExceededException
* @throws ResourceNotFoundException
* @throws ConditionalCheckFailedException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public UpdateItemResult updateItem(String tableName, java.util.Map key, java.util.Map attributeUpdates, String returnValues)
throws AmazonServiceException, AmazonClientException {
UpdateItemRequest updateItemRequest = new UpdateItemRequest();
updateItemRequest.setTableName(tableName);
updateItemRequest.setKey(key);
updateItemRequest.setAttributeUpdates(attributeUpdates);
updateItemRequest.setReturnValues(returnValues);
return updateItem(updateItemRequest);
}
/**
*
* 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 1 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.
*
*
* For example, if you ask to retrieve 100 items, but each individual
* item is 50 KB in size, the system returns 20 items (1 MB) and 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 will throw 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 .
*
*
* 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 attributes in any particular order. To help parse the response
* by item, include the primary key values for the items in your request
* in the AttributesToGet parameter.
*
*
* If a requested item does not exist, it is not returned in the result.
* Requests for nonexistent items consume the minimum read capacity units
* according to the type of read. For more information, see
* Capacity Units Calculations
* in the Amazon DynamoDB Developer Guide.
*
*
* @param requestItems A map of one or more table names and, for each
* table, the corresponding primary keys for the items to retrieve. Each
* table name can be invoked only once. Each element in the map
* consists of the following:
-
Keys - An array of
* primary key attribute values that define specific items in the table.
*
-
AttributesToGet - One or more attributes to be
* retrieved from the table. By default, all attributes are returned. If
* a specified attribute is not found, it does not appear in the result.
*
Note that AttributesToGet has no effect on provisioned
* throughput consumption. DynamoDB determines capacity units consumed
* based on item size, not on the amount of data that is returned to an
* application.
-
ConsistentRead - If
* true, a strongly consistent read is used; if
* false (the default), an eventually consistent read is
* used.
* @param returnConsumedCapacity If set to TOTAL, the
* response includes ConsumedCapacity data for tables and indexes.
* If set to INDEXES, the response includes
* ConsumedCapacity for indexes. If set to NONE (the
* default), ConsumedCapacity is not included in the response.
*
* @return The response from the BatchGetItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public BatchGetItemResult batchGetItem(java.util.Map requestItems, String returnConsumedCapacity)
throws AmazonServiceException, AmazonClientException {
BatchGetItemRequest batchGetItemRequest = new BatchGetItemRequest();
batchGetItemRequest.setRequestItems(requestItems);
batchGetItemRequest.setReturnConsumedCapacity(returnConsumedCapacity);
return batchGetItem(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 1 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.
*
*
* For example, if you ask to retrieve 100 items, but each individual
* item is 50 KB in size, the system returns 20 items (1 MB) and 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 will throw 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 .
*
*
* 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 attributes in any particular order. To help parse the response
* by item, include the primary key values for the items in your request
* in the AttributesToGet parameter.
*
*
* If a requested item does not exist, it is not returned in the result.
* Requests for nonexistent items consume the minimum read capacity units
* according to the type of read. For more information, see
* Capacity Units Calculations
* in the Amazon DynamoDB Developer Guide.
*
*
* @param requestItems A map of one or more table names and, for each
* table, the corresponding primary keys for the items to retrieve. Each
* table name can be invoked only once. Each element in the map
* consists of the following:
-
Keys - An array of
* primary key attribute values that define specific items in the table.
*
-
AttributesToGet - One or more attributes to be
* retrieved from the table. By default, all attributes are returned. If
* a specified attribute is not found, it does not appear in the result.
*
Note that AttributesToGet has no effect on provisioned
* throughput consumption. DynamoDB determines capacity units consumed
* based on item size, not on the amount of data that is returned to an
* application.
-
ConsistentRead - If
* true, a strongly consistent read is used; if
* false (the default), an eventually consistent read is
* used.
*
* @return The response from the BatchGetItem service method, as returned
* by AmazonDynamoDBv2.
*
* @throws ResourceNotFoundException
* @throws ProvisionedThroughputExceededException
* @throws InternalServerErrorException
*
* @throws AmazonClientException
* If any internal errors are encountered inside the client while
* attempting to make the request or handle the response. For example
* if a network connection is not available.
* @throws AmazonServiceException
* If an error response is returned by AmazonDynamoDBv2 indicating
* either a problem with the data in the request, or a server side issue.
*/
public BatchGetItemResult batchGetItem(java.util.Map requestItems)
throws AmazonServiceException, AmazonClientException {
BatchGetItemRequest batchGetItemRequest = new BatchGetItemRequest();
batchGetItemRequest.setRequestItems(requestItems);
return batchGetItem(batchGetItemRequest);
}
@Override
public void setEndpoint(String endpoint) {
super.setEndpoint(endpoint);
}
@Override
public void setEndpoint(String endpoint, String serviceName, String regionId) throws IllegalArgumentException {
super.setEndpoint(endpoint, serviceName, regionId);
}
/**
* 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 the request.
*
* @param request
* The originally executed request
*
* @return The response metadata for the specified request, or null if none
* is available.
*/
public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request) {
return client.getResponseMetadataForRequest(request);
}
private Response invoke(Request request,
HttpResponseHandler> responseHandler,
ExecutionContext executionContext) {
request.setEndpoint(endpoint);
request.setTimeOffset(timeOffset);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
AWSCredentials credentials;
awsRequestMetrics.startEvent(Field.CredentialsRequestTime);
try {
credentials = awsCredentialsProvider.getCredentials();
} finally {
awsRequestMetrics.endEvent(Field.CredentialsRequestTime);
}
AmazonWebServiceRequest originalRequest = request.getOriginalRequest();
if (originalRequest != null && originalRequest.getRequestCredentials() != null) {
credentials = originalRequest.getRequestCredentials();
}
executionContext.setCredentials(credentials);
JsonErrorResponseHandler errorResponseHandler = new JsonErrorResponseHandler(jsonErrorUnmarshallers);
Response result = client.execute(request, responseHandler,
errorResponseHandler, executionContext);
return result;
}
}