public class AmazonDynamoDBAsyncClient extends AmazonDynamoDBClient implements AmazonDynamoDBAsync
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. DynamoDB lets you offload the administrative burdens of operating and scaling a distributed database, so that you don't have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling.
With DynamoDB, you can create database tables that can store and retrieve any amount of data, and serve any level of request traffic. You can scale up or scale down your tables' throughput capacity without downtime or performance degradation, and use the AWS Management Console to monitor resource utilization and performance metrics.
DynamoDB automatically spreads the data and traffic for your tables over a sufficient number of servers to handle your throughput and storage requirements, while maintaining consistent and fast performance. All of your data is stored on solid state disks (SSDs) and automatically replicated across multiple Availability Zones in an AWS region, providing built-in high availability and data durability.
LOGGING_AWS_REQUEST_METRIC
Constructor and Description |
---|
AmazonDynamoDBAsyncClient()
Deprecated.
|
AmazonDynamoDBAsyncClient(AWSCredentials awsCredentials)
Constructs a new asynchronous client to invoke service methods on Amazon
DynamoDB using the specified AWS account credentials.
|
AmazonDynamoDBAsyncClient(AWSCredentials awsCredentials,
ClientConfiguration clientConfiguration,
java.util.concurrent.ExecutorService executorService)
Constructs a new asynchronous client to invoke service methods on Amazon
DynamoDB using the specified AWS account credentials, executor service,
and client configuration options.
|
AmazonDynamoDBAsyncClient(AWSCredentials awsCredentials,
java.util.concurrent.ExecutorService executorService)
Constructs a new asynchronous client to invoke service methods on Amazon
DynamoDB using the specified AWS account credentials and executor
service.
|
AmazonDynamoDBAsyncClient(AWSCredentialsProvider awsCredentialsProvider)
Constructs a new asynchronous client to invoke service methods on Amazon
DynamoDB using the specified AWS account credentials provider.
|
AmazonDynamoDBAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration)
Constructs a new asynchronous client to invoke service methods on Amazon
DynamoDB using the specified AWS account credentials provider and client
configuration options.
|
AmazonDynamoDBAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration,
java.util.concurrent.ExecutorService executorService)
Constructs a new asynchronous client to invoke service methods on Amazon
DynamoDB using the specified AWS account credentials provider, executor
service, and client configuration options.
|
AmazonDynamoDBAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
java.util.concurrent.ExecutorService executorService)
Constructs a new asynchronous client to invoke service methods on Amazon
DynamoDB using the specified AWS account credentials provider and
executor service.
|
AmazonDynamoDBAsyncClient(ClientConfiguration clientConfiguration)
Deprecated.
|
Modifier and Type | Method and Description |
---|---|
java.util.concurrent.Future<BatchGetItemResult> |
batchGetItemAsync(BatchGetItemRequest batchGetItemRequest)
The
BatchGetItem operation returns the attributes of one or
more items from one or more tables. |
java.util.concurrent.Future<BatchGetItemResult> |
batchGetItemAsync(BatchGetItemRequest batchGetItemRequest,
AsyncHandler<BatchGetItemRequest,BatchGetItemResult> asyncHandler)
The
BatchGetItem operation returns the attributes of one or
more items from one or more tables. |
java.util.concurrent.Future<BatchWriteItemResult> |
batchWriteItemAsync(BatchWriteItemRequest batchWriteItemRequest)
The
BatchWriteItem operation puts or deletes multiple items
in one or more tables. |
java.util.concurrent.Future<BatchWriteItemResult> |
batchWriteItemAsync(BatchWriteItemRequest batchWriteItemRequest,
AsyncHandler<BatchWriteItemRequest,BatchWriteItemResult> asyncHandler)
The
BatchWriteItem operation puts or deletes multiple items
in one or more tables. |
java.util.concurrent.Future<CreateBackupResult> |
createBackupAsync(CreateBackupRequest createBackupRequest)
Creates a backup for an existing table.
|
java.util.concurrent.Future<CreateBackupResult> |
createBackupAsync(CreateBackupRequest createBackupRequest,
AsyncHandler<CreateBackupRequest,CreateBackupResult> asyncHandler)
Creates a backup for an existing table.
|
java.util.concurrent.Future<CreateGlobalTableResult> |
createGlobalTableAsync(CreateGlobalTableRequest createGlobalTableRequest)
Creates a global table from an existing table.
|
java.util.concurrent.Future<CreateGlobalTableResult> |
createGlobalTableAsync(CreateGlobalTableRequest createGlobalTableRequest,
AsyncHandler<CreateGlobalTableRequest,CreateGlobalTableResult> asyncHandler)
Creates a global table from an existing table.
|
java.util.concurrent.Future<CreateTableResult> |
createTableAsync(CreateTableRequest createTableRequest)
The
CreateTable operation adds a new table to your account. |
java.util.concurrent.Future<CreateTableResult> |
createTableAsync(CreateTableRequest createTableRequest,
AsyncHandler<CreateTableRequest,CreateTableResult> asyncHandler)
The
CreateTable operation adds a new table to your account. |
java.util.concurrent.Future<DeleteBackupResult> |
deleteBackupAsync(DeleteBackupRequest deleteBackupRequest)
Deletes an existing backup of a table.
|
java.util.concurrent.Future<DeleteBackupResult> |
deleteBackupAsync(DeleteBackupRequest deleteBackupRequest,
AsyncHandler<DeleteBackupRequest,DeleteBackupResult> asyncHandler)
Deletes an existing backup of a table.
|
java.util.concurrent.Future<DeleteItemResult> |
deleteItemAsync(DeleteItemRequest deleteItemRequest)
Deletes a single item in a table by primary key.
|
java.util.concurrent.Future<DeleteItemResult> |
deleteItemAsync(DeleteItemRequest deleteItemRequest,
AsyncHandler<DeleteItemRequest,DeleteItemResult> asyncHandler)
Deletes a single item in a table by primary key.
|
java.util.concurrent.Future<DeleteTableResult> |
deleteTableAsync(DeleteTableRequest deleteTableRequest)
The
DeleteTable operation deletes a table and all of its
items. |
java.util.concurrent.Future<DeleteTableResult> |
deleteTableAsync(DeleteTableRequest deleteTableRequest,
AsyncHandler<DeleteTableRequest,DeleteTableResult> asyncHandler)
The
DeleteTable operation deletes a table and all of its
items. |
java.util.concurrent.Future<DescribeBackupResult> |
describeBackupAsync(DescribeBackupRequest describeBackupRequest)
Describes an existing backup of a table.
|
java.util.concurrent.Future<DescribeBackupResult> |
describeBackupAsync(DescribeBackupRequest describeBackupRequest,
AsyncHandler<DescribeBackupRequest,DescribeBackupResult> asyncHandler)
Describes an existing backup of a table.
|
java.util.concurrent.Future<DescribeContinuousBackupsResult> |
describeContinuousBackupsAsync(DescribeContinuousBackupsRequest describeContinuousBackupsRequest)
Checks the status of continuous backups and point in time recovery on the
specified table.
|
java.util.concurrent.Future<DescribeContinuousBackupsResult> |
describeContinuousBackupsAsync(DescribeContinuousBackupsRequest describeContinuousBackupsRequest,
AsyncHandler<DescribeContinuousBackupsRequest,DescribeContinuousBackupsResult> asyncHandler)
Checks the status of continuous backups and point in time recovery on the
specified table.
|
java.util.concurrent.Future<DescribeEndpointsResult> |
describeEndpointsAsync(DescribeEndpointsRequest describeEndpointsRequest) |
java.util.concurrent.Future<DescribeEndpointsResult> |
describeEndpointsAsync(DescribeEndpointsRequest describeEndpointsRequest,
AsyncHandler<DescribeEndpointsRequest,DescribeEndpointsResult> asyncHandler) |
java.util.concurrent.Future<DescribeGlobalTableResult> |
describeGlobalTableAsync(DescribeGlobalTableRequest describeGlobalTableRequest)
Returns information about the specified global table.
|
java.util.concurrent.Future<DescribeGlobalTableResult> |
describeGlobalTableAsync(DescribeGlobalTableRequest describeGlobalTableRequest,
AsyncHandler<DescribeGlobalTableRequest,DescribeGlobalTableResult> asyncHandler)
Returns information about the specified global table.
|
java.util.concurrent.Future<DescribeGlobalTableSettingsResult> |
describeGlobalTableSettingsAsync(DescribeGlobalTableSettingsRequest describeGlobalTableSettingsRequest)
Describes region specific settings for a global table.
|
java.util.concurrent.Future<DescribeGlobalTableSettingsResult> |
describeGlobalTableSettingsAsync(DescribeGlobalTableSettingsRequest describeGlobalTableSettingsRequest,
AsyncHandler<DescribeGlobalTableSettingsRequest,DescribeGlobalTableSettingsResult> asyncHandler)
Describes region specific settings for a global table.
|
java.util.concurrent.Future<DescribeLimitsResult> |
describeLimitsAsync(DescribeLimitsRequest describeLimitsRequest)
Returns the current provisioned-capacity limits for your AWS account in a
region, both for the region as a whole and for any one DynamoDB table
that you create there.
|
java.util.concurrent.Future<DescribeLimitsResult> |
describeLimitsAsync(DescribeLimitsRequest describeLimitsRequest,
AsyncHandler<DescribeLimitsRequest,DescribeLimitsResult> asyncHandler)
Returns the current provisioned-capacity limits for your AWS account in a
region, both for the region as a whole and for any one DynamoDB table
that you create there.
|
java.util.concurrent.Future<DescribeTableResult> |
describeTableAsync(DescribeTableRequest describeTableRequest)
Returns information about the table, including the current status of the
table, when it was created, the primary key schema, and any indexes on
the table.
|
java.util.concurrent.Future<DescribeTableResult> |
describeTableAsync(DescribeTableRequest describeTableRequest,
AsyncHandler<DescribeTableRequest,DescribeTableResult> asyncHandler)
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.
|
java.util.concurrent.Future<DescribeTimeToLiveResult> |
describeTimeToLiveAsync(DescribeTimeToLiveRequest describeTimeToLiveRequest)
Gives a description of the Time to Live (TTL) status on the specified
table.
|
java.util.concurrent.Future<DescribeTimeToLiveResult> |
describeTimeToLiveAsync(DescribeTimeToLiveRequest describeTimeToLiveRequest,
AsyncHandler<DescribeTimeToLiveRequest,DescribeTimeToLiveResult> asyncHandler)
Gives a description of the Time to Live (TTL) status on the specified
table.
|
java.util.concurrent.ExecutorService |
getExecutorService()
Returns the executor service used by this async client to execute
requests.
|
java.util.concurrent.Future<GetItemResult> |
getItemAsync(GetItemRequest getItemRequest)
The
GetItem operation returns a set of attributes for the
item with the given primary key. |
java.util.concurrent.Future<GetItemResult> |
getItemAsync(GetItemRequest getItemRequest,
AsyncHandler<GetItemRequest,GetItemResult> asyncHandler)
The
GetItem operation returns a set of attributes for the
item with the given primary key. |
java.util.concurrent.Future<ListBackupsResult> |
listBackupsAsync(ListBackupsRequest listBackupsRequest)
List backups associated with an AWS account.
|
java.util.concurrent.Future<ListBackupsResult> |
listBackupsAsync(ListBackupsRequest listBackupsRequest,
AsyncHandler<ListBackupsRequest,ListBackupsResult> asyncHandler)
List backups associated with an AWS account.
|
java.util.concurrent.Future<ListGlobalTablesResult> |
listGlobalTablesAsync(ListGlobalTablesRequest listGlobalTablesRequest)
Lists all global tables that have a replica in the specified region.
|
java.util.concurrent.Future<ListGlobalTablesResult> |
listGlobalTablesAsync(ListGlobalTablesRequest listGlobalTablesRequest,
AsyncHandler<ListGlobalTablesRequest,ListGlobalTablesResult> asyncHandler)
Lists all global tables that have a replica in the specified region.
|
java.util.concurrent.Future<ListTablesResult> |
listTablesAsync(ListTablesRequest listTablesRequest)
Returns an array of table names associated with the current account and
endpoint.
|
java.util.concurrent.Future<ListTablesResult> |
listTablesAsync(ListTablesRequest listTablesRequest,
AsyncHandler<ListTablesRequest,ListTablesResult> asyncHandler)
Returns an array of table names associated with the current account and
endpoint.
|
java.util.concurrent.Future<ListTagsOfResourceResult> |
listTagsOfResourceAsync(ListTagsOfResourceRequest listTagsOfResourceRequest)
List all tags on an Amazon DynamoDB resource.
|
java.util.concurrent.Future<ListTagsOfResourceResult> |
listTagsOfResourceAsync(ListTagsOfResourceRequest listTagsOfResourceRequest,
AsyncHandler<ListTagsOfResourceRequest,ListTagsOfResourceResult> asyncHandler)
List all tags on an Amazon DynamoDB resource.
|
java.util.concurrent.Future<PutItemResult> |
putItemAsync(PutItemRequest putItemRequest)
Creates a new item, or replaces an old item with a new item.
|
java.util.concurrent.Future<PutItemResult> |
putItemAsync(PutItemRequest putItemRequest,
AsyncHandler<PutItemRequest,PutItemResult> asyncHandler)
Creates a new item, or replaces an old item with a new item.
|
java.util.concurrent.Future<QueryResult> |
queryAsync(QueryRequest queryRequest)
The
Query operation finds items based on primary key values. |
java.util.concurrent.Future<QueryResult> |
queryAsync(QueryRequest queryRequest,
AsyncHandler<QueryRequest,QueryResult> asyncHandler)
The
Query operation finds items based on primary key values. |
java.util.concurrent.Future<RestoreTableFromBackupResult> |
restoreTableFromBackupAsync(RestoreTableFromBackupRequest restoreTableFromBackupRequest)
Creates a new table from an existing backup.
|
java.util.concurrent.Future<RestoreTableFromBackupResult> |
restoreTableFromBackupAsync(RestoreTableFromBackupRequest restoreTableFromBackupRequest,
AsyncHandler<RestoreTableFromBackupRequest,RestoreTableFromBackupResult> asyncHandler)
Creates a new table from an existing backup.
|
java.util.concurrent.Future<RestoreTableToPointInTimeResult> |
restoreTableToPointInTimeAsync(RestoreTableToPointInTimeRequest restoreTableToPointInTimeRequest)
Restores the specified table to the specified point in time within
EarliestRestorableDateTime and
LatestRestorableDateTime . |
java.util.concurrent.Future<RestoreTableToPointInTimeResult> |
restoreTableToPointInTimeAsync(RestoreTableToPointInTimeRequest restoreTableToPointInTimeRequest,
AsyncHandler<RestoreTableToPointInTimeRequest,RestoreTableToPointInTimeResult> asyncHandler)
Restores the specified table to the specified point in time within
EarliestRestorableDateTime and
LatestRestorableDateTime . |
java.util.concurrent.Future<ScanResult> |
scanAsync(ScanRequest scanRequest)
The
Scan operation returns one or more items and item
attributes by accessing every item in a table or a secondary index. |
java.util.concurrent.Future<ScanResult> |
scanAsync(ScanRequest scanRequest,
AsyncHandler<ScanRequest,ScanResult> asyncHandler)
The
Scan operation returns one or more items and item
attributes by accessing every item in a table or a secondary index. |
void |
shutdown()
Shuts down the client, releasing all managed resources.
|
java.util.concurrent.Future<java.lang.Void> |
tagResourceAsync(TagResourceRequest tagResourceRequest)
Associate a set of tags with an Amazon DynamoDB resource.
|
java.util.concurrent.Future<java.lang.Void> |
tagResourceAsync(TagResourceRequest tagResourceRequest,
AsyncHandler<TagResourceRequest,java.lang.Void> asyncHandler)
Associate a set of tags with an Amazon DynamoDB resource.
|
java.util.concurrent.Future<java.lang.Void> |
untagResourceAsync(UntagResourceRequest untagResourceRequest)
Removes the association of tags from an Amazon DynamoDB resource.
|
java.util.concurrent.Future<java.lang.Void> |
untagResourceAsync(UntagResourceRequest untagResourceRequest,
AsyncHandler<UntagResourceRequest,java.lang.Void> asyncHandler)
Removes the association of tags from an Amazon DynamoDB resource.
|
java.util.concurrent.Future<UpdateContinuousBackupsResult> |
updateContinuousBackupsAsync(UpdateContinuousBackupsRequest updateContinuousBackupsRequest)
UpdateContinuousBackups enables or disables point in time
recovery for the specified table. |
java.util.concurrent.Future<UpdateContinuousBackupsResult> |
updateContinuousBackupsAsync(UpdateContinuousBackupsRequest updateContinuousBackupsRequest,
AsyncHandler<UpdateContinuousBackupsRequest,UpdateContinuousBackupsResult> asyncHandler)
UpdateContinuousBackups enables or disables point in time
recovery for the specified table. |
java.util.concurrent.Future<UpdateGlobalTableResult> |
updateGlobalTableAsync(UpdateGlobalTableRequest updateGlobalTableRequest)
Adds or removes replicas in the specified global table.
|
java.util.concurrent.Future<UpdateGlobalTableResult> |
updateGlobalTableAsync(UpdateGlobalTableRequest updateGlobalTableRequest,
AsyncHandler<UpdateGlobalTableRequest,UpdateGlobalTableResult> asyncHandler)
Adds or removes replicas in the specified global table.
|
java.util.concurrent.Future<UpdateGlobalTableSettingsResult> |
updateGlobalTableSettingsAsync(UpdateGlobalTableSettingsRequest updateGlobalTableSettingsRequest)
Updates settings for a global table.
|
java.util.concurrent.Future<UpdateGlobalTableSettingsResult> |
updateGlobalTableSettingsAsync(UpdateGlobalTableSettingsRequest updateGlobalTableSettingsRequest,
AsyncHandler<UpdateGlobalTableSettingsRequest,UpdateGlobalTableSettingsResult> asyncHandler)
Updates settings for a global table.
|
java.util.concurrent.Future<UpdateItemResult> |
updateItemAsync(UpdateItemRequest updateItemRequest)
Edits an existing item's attributes, or adds a new item to the table if
it does not already exist.
|
java.util.concurrent.Future<UpdateItemResult> |
updateItemAsync(UpdateItemRequest updateItemRequest,
AsyncHandler<UpdateItemRequest,UpdateItemResult> asyncHandler)
Edits an existing item's attributes, or adds a new item to the table if
it does not already exist.
|
java.util.concurrent.Future<UpdateTableResult> |
updateTableAsync(UpdateTableRequest updateTableRequest)
Modifies the provisioned throughput settings, global secondary indexes,
or DynamoDB Streams settings for a given table.
|
java.util.concurrent.Future<UpdateTableResult> |
updateTableAsync(UpdateTableRequest updateTableRequest,
AsyncHandler<UpdateTableRequest,UpdateTableResult> asyncHandler)
Modifies the provisioned throughput settings, global secondary indexes,
or DynamoDB Streams settings for a given table.
|
java.util.concurrent.Future<UpdateTimeToLiveResult> |
updateTimeToLiveAsync(UpdateTimeToLiveRequest updateTimeToLiveRequest)
The UpdateTimeToLive method will enable or disable TTL for the specified
table.
|
java.util.concurrent.Future<UpdateTimeToLiveResult> |
updateTimeToLiveAsync(UpdateTimeToLiveRequest updateTimeToLiveRequest,
AsyncHandler<UpdateTimeToLiveRequest,UpdateTimeToLiveResult> asyncHandler)
The UpdateTimeToLive method will enable or disable TTL for the specified
table.
|
batchGetItem, batchGetItem, batchGetItem, batchWriteItem, batchWriteItem, createBackup, createGlobalTable, createTable, createTable, deleteBackup, deleteItem, deleteItem, deleteItem, deleteTable, deleteTable, describeBackup, describeContinuousBackups, describeEndpoints, describeGlobalTable, describeGlobalTableSettings, describeLimits, describeTable, describeTable, describeTimeToLive, getCachedResponseMetadata, getItem, getItem, getItem, listBackups, listGlobalTables, listTables, listTables, listTables, listTables, listTables, listTagsOfResource, putItem, putItem, putItem, query, restoreTableFromBackup, restoreTableToPointInTime, scan, scan, scan, scan, tagResource, untagResource, updateContinuousBackups, updateGlobalTable, updateGlobalTableSettings, updateItem, updateItem, updateItem, updateTable, updateTable, updateTimeToLive
addRequestHandler, addRequestHandler, getEndpoint, getEndpointPrefix, getRegions, getRequestMetricsCollector, getServiceName, getSignerByURI, getSignerRegionOverride, getTimeOffset, removeRequestHandler, removeRequestHandler, setConfiguration, setEndpoint, setEndpoint, setRegion, setServiceNameIntern, setSignerRegionOverride, setTimeOffset, withTimeOffset
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
batchGetItem, batchGetItem, batchGetItem, batchWriteItem, batchWriteItem, createBackup, createGlobalTable, createTable, createTable, deleteBackup, deleteItem, deleteItem, deleteItem, deleteTable, deleteTable, describeBackup, describeContinuousBackups, describeEndpoints, describeGlobalTable, describeGlobalTableSettings, describeLimits, describeTable, describeTable, describeTimeToLive, getCachedResponseMetadata, getItem, getItem, getItem, listBackups, listGlobalTables, listTables, listTables, listTables, listTables, listTables, listTagsOfResource, putItem, putItem, putItem, query, restoreTableFromBackup, restoreTableToPointInTime, scan, scan, scan, scan, setEndpoint, setRegion, tagResource, untagResource, updateContinuousBackups, updateGlobalTable, updateGlobalTableSettings, updateItem, updateItem, updateItem, updateTable, updateTable, updateTimeToLive
@Deprecated public AmazonDynamoDBAsyncClient()
All service calls made using this new client object are blocking, and will not return until the service call completes.
DefaultAWSCredentialsProviderChain
@Deprecated public AmazonDynamoDBAsyncClient(ClientConfiguration clientConfiguration)
All service calls made using this new client object are blocking, and will not return until the service call completes.
clientConfiguration
- The client configuration options controlling
how this client connects to Amazon DynamoDB (ex: proxy
settings, retry counts, etc.).DefaultAWSCredentialsProviderChain
public AmazonDynamoDBAsyncClient(AWSCredentials awsCredentials)
All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
awsCredentials
- The AWS credentials (access key ID and secret key)
to use when authenticating with AWS services.public AmazonDynamoDBAsyncClient(AWSCredentials awsCredentials, java.util.concurrent.ExecutorService executorService)
All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
awsCredentials
- The AWS credentials (access key ID and secret key)
to use when authenticating with AWS services.executorService
- The executor service by which all asynchronous
requests will be executed.public AmazonDynamoDBAsyncClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration, java.util.concurrent.ExecutorService executorService)
All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
awsCredentials
- The AWS credentials (access key ID and secret key)
to use when authenticating with AWS services.clientConfiguration
- Client configuration options (ex: max retry
limit, proxy settings, etc).executorService
- The executor service by which all asynchronous
requests will be executed.public AmazonDynamoDBAsyncClient(AWSCredentialsProvider awsCredentialsProvider)
All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
awsCredentialsProvider
- The AWS credentials provider which will
provide credentials to authenticate requests with AWS
services.public AmazonDynamoDBAsyncClient(AWSCredentialsProvider awsCredentialsProvider, java.util.concurrent.ExecutorService executorService)
All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
awsCredentialsProvider
- The AWS credentials provider which will
provide credentials to authenticate requests with AWS
services.executorService
- The executor service by which all asynchronous
requests will be executed.public AmazonDynamoDBAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration)
All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
awsCredentialsProvider
- The AWS credentials provider which will
provide credentials to authenticate requests with AWS
services.clientConfiguration
- Client configuration options (ex: max retry
limit, proxy settings, etc).public AmazonDynamoDBAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration, java.util.concurrent.ExecutorService executorService)
All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
awsCredentialsProvider
- The AWS credentials provider which will
provide credentials to authenticate requests with AWS
services.clientConfiguration
- Client configuration options (ex: max retry
limit, proxy settings, etc).executorService
- The executor service by which all asynchronous
requests will be executed.public java.util.concurrent.ExecutorService getExecutorService()
public void shutdown()
shutdown
in interface AmazonDynamoDB
shutdown
in class AmazonWebServiceClient
public java.util.concurrent.Future<BatchGetItemResult> batchGetItemAsync(BatchGetItemRequest batchGetItemRequest) throws AmazonServiceException, AmazonClientException
The BatchGetItem
operation returns the attributes of one or
more items from one or more tables. You identify requested items by
primary key.
A single operation can retrieve up to 16 MB of data, which can contain as
many as 100 items. BatchGetItem
will return a partial result
if the response size limit is exceeded, the table's provisioned
throughput is exceeded, or an internal processing failure occurs. If a
partial result is returned, the operation returns a value for
UnprocessedKeys
. You can use this value to retry the
operation starting with the next item to get.
If you request more than 100 items BatchGetItem
will return
a ValidationException
with the message
"Too many items requested for the BatchGetItem call".
For example, if you ask to retrieve 100 items, but each individual item
is 300 KB in size, the system returns 52 items (so as not to exceed the
16 MB limit). It also returns an appropriate UnprocessedKeys
value so you can get the next page of results. If desired, your
application can include its own logic to assemble the pages of results
into one data set.
If none of the items can be processed due to insufficient
provisioned throughput on all of the tables in the request, then
BatchGetItem
will return a
ProvisionedThroughputExceededException
. If at least
one of the items is successfully processed, then
BatchGetItem
completes successfully, while returning the
keys of the unread items in UnprocessedKeys
.
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.
By default, BatchGetItem
performs eventually consistent
reads on every table in the request. If you want strongly consistent
reads instead, you can set ConsistentRead
to
true
for any or all tables.
In order to minimize response latency, BatchGetItem
retrieves items in parallel.
When designing your application, keep in mind that DynamoDB does not
return items in any particular order. To help parse the response by item,
include the primary key values for the items in your request in the
ProjectionExpression
parameter.
If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.
batchGetItemAsync
in interface AmazonDynamoDBAsync
batchGetItemRequest
-
Represents the input of a BatchGetItem
operation.
ProvisionedThroughputExceededException
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<BatchGetItemResult> batchGetItemAsync(BatchGetItemRequest batchGetItemRequest, AsyncHandler<BatchGetItemRequest,BatchGetItemResult> asyncHandler) throws AmazonServiceException, AmazonClientException
The BatchGetItem
operation returns the attributes of one or
more items from one or more tables. You identify requested items by
primary key.
A single operation can retrieve up to 16 MB of data, which can contain as
many as 100 items. BatchGetItem
will return a partial result
if the response size limit is exceeded, the table's provisioned
throughput is exceeded, or an internal processing failure occurs. If a
partial result is returned, the operation returns a value for
UnprocessedKeys
. You can use this value to retry the
operation starting with the next item to get.
If you request more than 100 items BatchGetItem
will return
a ValidationException
with the message
"Too many items requested for the BatchGetItem call".
For example, if you ask to retrieve 100 items, but each individual item
is 300 KB in size, the system returns 52 items (so as not to exceed the
16 MB limit). It also returns an appropriate UnprocessedKeys
value so you can get the next page of results. If desired, your
application can include its own logic to assemble the pages of results
into one data set.
If none of the items can be processed due to insufficient
provisioned throughput on all of the tables in the request, then
BatchGetItem
will return a
ProvisionedThroughputExceededException
. If at least
one of the items is successfully processed, then
BatchGetItem
completes successfully, while returning the
keys of the unread items in UnprocessedKeys
.
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.
By default, BatchGetItem
performs eventually consistent
reads on every table in the request. If you want strongly consistent
reads instead, you can set ConsistentRead
to
true
for any or all tables.
In order to minimize response latency, BatchGetItem
retrieves items in parallel.
When designing your application, keep in mind that DynamoDB does not
return items in any particular order. To help parse the response by item,
include the primary key values for the items in your request in the
ProjectionExpression
parameter.
If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.
batchGetItemAsync
in interface AmazonDynamoDBAsync
batchGetItemRequest
-
Represents the input of a BatchGetItem
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ProvisionedThroughputExceededException
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<BatchWriteItemResult> batchWriteItemAsync(BatchWriteItemRequest batchWriteItemRequest) throws AmazonServiceException, AmazonClientException
The BatchWriteItem
operation puts or deletes multiple items
in one or more tables. A single call to BatchWriteItem
can
write up to 16 MB of data, which can comprise as many as 25 put or delete
requests. Individual items to be written can be as large as 400 KB.
BatchWriteItem
cannot update items. To update items, use the
UpdateItem
action.
The individual PutItem
and DeleteItem
operations specified in BatchWriteItem
are atomic; however
BatchWriteItem
as a whole is not. If any requested
operations fail because the table's provisioned throughput is exceeded or
an internal processing failure occurs, the failed operations are returned
in the UnprocessedItems
response parameter. You can
investigate and optionally resend the requests. Typically, you would call
BatchWriteItem
in a loop. Each iteration would check for
unprocessed items and submit a new BatchWriteItem
request
with those unprocessed items until all items have been processed.
Note that if none of the items can be processed due to
insufficient provisioned throughput on all of the tables in the request,
then BatchWriteItem
will return a
ProvisionedThroughputExceededException
.
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.
With BatchWriteItem
, you can efficiently write or delete
large amounts of data, such as from Amazon Elastic MapReduce (EMR), or
copy data from another database into DynamoDB. In order to improve
performance with these large-scale operations,
BatchWriteItem
does not behave in the same way as individual
PutItem
and DeleteItem
calls would. For
example, you cannot specify conditions on individual put and delete
requests, and BatchWriteItem
does not return deleted items
in the response.
If you use a programming language that supports concurrency, you can use
threads to write items in parallel. Your application must include the
necessary logic to manage the threads. With languages that don't support
threading, you must update or delete the specified items one at a time.
In both situations, BatchWriteItem
performs the specified
put and delete operations in parallel, giving you the power of the thread
pool approach without having to introduce complexity into your
application.
Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.
If one or more of the following is true, DynamoDB rejects the entire batch write operation:
One or more tables specified in the BatchWriteItem
request
does not exist.
Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.
You try to perform multiple operations on the same item in the same
BatchWriteItem
request. For example, you cannot put and
delete the same item in the same BatchWriteItem
request.
Your request contains at least two items with identical hash and range keys (which essentially is two put operations).
There are more than 25 requests in the batch.
Any individual item in a batch exceeds 400 KB.
The total request size exceeds 16 MB.
batchWriteItemAsync
in interface AmazonDynamoDBAsync
batchWriteItemRequest
-
Represents the input of a BatchWriteItem
operation.
ProvisionedThroughputExceededException
ResourceNotFoundException
ItemCollectionSizeLimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<BatchWriteItemResult> batchWriteItemAsync(BatchWriteItemRequest batchWriteItemRequest, AsyncHandler<BatchWriteItemRequest,BatchWriteItemResult> asyncHandler) throws AmazonServiceException, AmazonClientException
The BatchWriteItem
operation puts or deletes multiple items
in one or more tables. A single call to BatchWriteItem
can
write up to 16 MB of data, which can comprise as many as 25 put or delete
requests. Individual items to be written can be as large as 400 KB.
BatchWriteItem
cannot update items. To update items, use the
UpdateItem
action.
The individual PutItem
and DeleteItem
operations specified in BatchWriteItem
are atomic; however
BatchWriteItem
as a whole is not. If any requested
operations fail because the table's provisioned throughput is exceeded or
an internal processing failure occurs, the failed operations are returned
in the UnprocessedItems
response parameter. You can
investigate and optionally resend the requests. Typically, you would call
BatchWriteItem
in a loop. Each iteration would check for
unprocessed items and submit a new BatchWriteItem
request
with those unprocessed items until all items have been processed.
Note that if none of the items can be processed due to
insufficient provisioned throughput on all of the tables in the request,
then BatchWriteItem
will return a
ProvisionedThroughputExceededException
.
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.
With BatchWriteItem
, you can efficiently write or delete
large amounts of data, such as from Amazon Elastic MapReduce (EMR), or
copy data from another database into DynamoDB. In order to improve
performance with these large-scale operations,
BatchWriteItem
does not behave in the same way as individual
PutItem
and DeleteItem
calls would. For
example, you cannot specify conditions on individual put and delete
requests, and BatchWriteItem
does not return deleted items
in the response.
If you use a programming language that supports concurrency, you can use
threads to write items in parallel. Your application must include the
necessary logic to manage the threads. With languages that don't support
threading, you must update or delete the specified items one at a time.
In both situations, BatchWriteItem
performs the specified
put and delete operations in parallel, giving you the power of the thread
pool approach without having to introduce complexity into your
application.
Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.
If one or more of the following is true, DynamoDB rejects the entire batch write operation:
One or more tables specified in the BatchWriteItem
request
does not exist.
Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.
You try to perform multiple operations on the same item in the same
BatchWriteItem
request. For example, you cannot put and
delete the same item in the same BatchWriteItem
request.
Your request contains at least two items with identical hash and range keys (which essentially is two put operations).
There are more than 25 requests in the batch.
Any individual item in a batch exceeds 400 KB.
The total request size exceeds 16 MB.
batchWriteItemAsync
in interface AmazonDynamoDBAsync
batchWriteItemRequest
-
Represents the input of a BatchWriteItem
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ProvisionedThroughputExceededException
ResourceNotFoundException
ItemCollectionSizeLimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<CreateBackupResult> createBackupAsync(CreateBackupRequest createBackupRequest) throws AmazonServiceException, AmazonClientException
Creates a backup for an existing table.
Each time you create an On-Demand Backup, the entire table data is backed up. There is no limit to the number of on-demand backups that can be taken.
When you create an On-Demand Backup, a time marker of the request is cataloged, and the backup is created asynchronously, by applying all changes until the time of the request to the last full table snapshot. Backup requests are processed instantaneously and become available for restore within minutes.
You can call CreateBackup
at a maximum rate of 50 times per
second.
All backups in DynamoDB work without consuming any provisioned throughput on the table.
If you submit a backup request on 2018-12-14 at 14:25:00, the backup is guaranteed to contain all data committed to the table up to 14:24:00, and data committed after 14:26:00 will not be. The backup may or may not contain data modifications made between 14:24:00 and 14:26:00. On-Demand Backup does not support causal consistency.
Along with data, the following are also included on the backups:
Global secondary indexes (GSIs)
Local secondary indexes (LSIs)
Streams
Provisioned read and write capacity
createBackupAsync
in interface AmazonDynamoDBAsync
createBackupRequest
- TableNotFoundException
TableInUseException
ContinuousBackupsUnavailableException
BackupInUseException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<CreateBackupResult> createBackupAsync(CreateBackupRequest createBackupRequest, AsyncHandler<CreateBackupRequest,CreateBackupResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Creates a backup for an existing table.
Each time you create an On-Demand Backup, the entire table data is backed up. There is no limit to the number of on-demand backups that can be taken.
When you create an On-Demand Backup, a time marker of the request is cataloged, and the backup is created asynchronously, by applying all changes until the time of the request to the last full table snapshot. Backup requests are processed instantaneously and become available for restore within minutes.
You can call CreateBackup
at a maximum rate of 50 times per
second.
All backups in DynamoDB work without consuming any provisioned throughput on the table.
If you submit a backup request on 2018-12-14 at 14:25:00, the backup is guaranteed to contain all data committed to the table up to 14:24:00, and data committed after 14:26:00 will not be. The backup may or may not contain data modifications made between 14:24:00 and 14:26:00. On-Demand Backup does not support causal consistency.
Along with data, the following are also included on the backups:
Global secondary indexes (GSIs)
Local secondary indexes (LSIs)
Streams
Provisioned read and write capacity
createBackupAsync
in interface AmazonDynamoDBAsync
createBackupRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.TableNotFoundException
TableInUseException
ContinuousBackupsUnavailableException
BackupInUseException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<CreateGlobalTableResult> createGlobalTableAsync(CreateGlobalTableRequest createGlobalTableRequest) throws AmazonServiceException, AmazonClientException
Creates a global table from an existing table. A global table creates a replication relationship between two or more DynamoDB tables with the same table name in the provided regions.
If you want to add a new replica table to a global table, each of the following conditions must be true:
The table must have the same primary key as all of the other replicas.
The table must have the same name as all of the other replicas.
The table must have DynamoDB Streams enabled, with the stream containing both the new and the old images of the item.
None of the replica tables in the global table can contain any data.
If global secondary indexes are specified, then the following conditions must also be met:
The global secondary indexes must have the same name.
The global secondary indexes must have the same hash key and sort key (if present).
Write capacity settings should be set consistently across your replica tables and secondary indexes. DynamoDB strongly recommends enabling auto scaling to manage the write capacity settings for all of your global tables replicas and indexes.
If you prefer to manage write capacity settings manually, you should provision equal replicated write capacity units to your replica tables. You should also provision equal replicated write capacity units to matching secondary indexes across your global table.
createGlobalTableAsync
in interface AmazonDynamoDBAsync
createGlobalTableRequest
- LimitExceededException
InternalServerErrorException
GlobalTableAlreadyExistsException
TableNotFoundException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<CreateGlobalTableResult> createGlobalTableAsync(CreateGlobalTableRequest createGlobalTableRequest, AsyncHandler<CreateGlobalTableRequest,CreateGlobalTableResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Creates a global table from an existing table. A global table creates a replication relationship between two or more DynamoDB tables with the same table name in the provided regions.
If you want to add a new replica table to a global table, each of the following conditions must be true:
The table must have the same primary key as all of the other replicas.
The table must have the same name as all of the other replicas.
The table must have DynamoDB Streams enabled, with the stream containing both the new and the old images of the item.
None of the replica tables in the global table can contain any data.
If global secondary indexes are specified, then the following conditions must also be met:
The global secondary indexes must have the same name.
The global secondary indexes must have the same hash key and sort key (if present).
Write capacity settings should be set consistently across your replica tables and secondary indexes. DynamoDB strongly recommends enabling auto scaling to manage the write capacity settings for all of your global tables replicas and indexes.
If you prefer to manage write capacity settings manually, you should provision equal replicated write capacity units to your replica tables. You should also provision equal replicated write capacity units to matching secondary indexes across your global table.
createGlobalTableAsync
in interface AmazonDynamoDBAsync
createGlobalTableRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.LimitExceededException
InternalServerErrorException
GlobalTableAlreadyExistsException
TableNotFoundException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<CreateTableResult> createTableAsync(CreateTableRequest createTableRequest) throws AmazonServiceException, AmazonClientException
The CreateTable
operation adds a new table to your account.
In an AWS account, table names must be unique within each region. That
is, you can have two tables with same name if you create the tables in
different regions.
CreateTable
is an asynchronous operation. Upon receiving a
CreateTable
request, DynamoDB immediately returns a response
with a TableStatus
of CREATING
. After the table
is created, DynamoDB sets the TableStatus
to
ACTIVE
. You can perform read and write operations only on an
ACTIVE
table.
You can optionally define secondary indexes on the new table, as part of
the CreateTable
operation. If you want to create multiple
tables with secondary indexes on them, you must create the tables
sequentially. Only one table with secondary indexes can be in the
CREATING
state at any given time.
You can use the DescribeTable
action to check the table
status.
createTableAsync
in interface AmazonDynamoDBAsync
createTableRequest
-
Represents the input of a CreateTable
operation.
ResourceInUseException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<CreateTableResult> createTableAsync(CreateTableRequest createTableRequest, AsyncHandler<CreateTableRequest,CreateTableResult> asyncHandler) throws AmazonServiceException, AmazonClientException
The CreateTable
operation adds a new table to your account.
In an AWS account, table names must be unique within each region. That
is, you can have two tables with same name if you create the tables in
different regions.
CreateTable
is an asynchronous operation. Upon receiving a
CreateTable
request, DynamoDB immediately returns a response
with a TableStatus
of CREATING
. After the table
is created, DynamoDB sets the TableStatus
to
ACTIVE
. You can perform read and write operations only on an
ACTIVE
table.
You can optionally define secondary indexes on the new table, as part of
the CreateTable
operation. If you want to create multiple
tables with secondary indexes on them, you must create the tables
sequentially. Only one table with secondary indexes can be in the
CREATING
state at any given time.
You can use the DescribeTable
action to check the table
status.
createTableAsync
in interface AmazonDynamoDBAsync
createTableRequest
-
Represents the input of a CreateTable
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ResourceInUseException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DeleteBackupResult> deleteBackupAsync(DeleteBackupRequest deleteBackupRequest) throws AmazonServiceException, AmazonClientException
Deletes an existing backup of a table.
You can call DeleteBackup
at a maximum rate of 10 times per
second.
deleteBackupAsync
in interface AmazonDynamoDBAsync
deleteBackupRequest
- BackupNotFoundException
BackupInUseException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DeleteBackupResult> deleteBackupAsync(DeleteBackupRequest deleteBackupRequest, AsyncHandler<DeleteBackupRequest,DeleteBackupResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Deletes an existing backup of a table.
You can call DeleteBackup
at a maximum rate of 10 times per
second.
deleteBackupAsync
in interface AmazonDynamoDBAsync
deleteBackupRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.BackupNotFoundException
BackupInUseException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DeleteItemResult> deleteItemAsync(DeleteItemRequest deleteItemRequest) throws AmazonServiceException, AmazonClientException
Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.
In addition to deleting an item, you can also return the item's attribute
values in the same operation, using the ReturnValues
parameter.
Unless you specify conditions, the DeleteItem
is an
idempotent operation; running it multiple times on the same item or
attribute does not result in an error response.
Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.
deleteItemAsync
in interface AmazonDynamoDBAsync
deleteItemRequest
-
Represents the input of a DeleteItem
operation.
ConditionalCheckFailedException
ProvisionedThroughputExceededException
ResourceNotFoundException
ItemCollectionSizeLimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DeleteItemResult> deleteItemAsync(DeleteItemRequest deleteItemRequest, AsyncHandler<DeleteItemRequest,DeleteItemResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.
In addition to deleting an item, you can also return the item's attribute
values in the same operation, using the ReturnValues
parameter.
Unless you specify conditions, the DeleteItem
is an
idempotent operation; running it multiple times on the same item or
attribute does not result in an error response.
Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.
deleteItemAsync
in interface AmazonDynamoDBAsync
deleteItemRequest
-
Represents the input of a DeleteItem
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ConditionalCheckFailedException
ProvisionedThroughputExceededException
ResourceNotFoundException
ItemCollectionSizeLimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DeleteTableResult> deleteTableAsync(DeleteTableRequest deleteTableRequest) throws AmazonServiceException, AmazonClientException
The DeleteTable
operation deletes a table and all of its
items. After a DeleteTable
request, the specified table is
in the DELETING
state until DynamoDB completes the deletion.
If the table is in the ACTIVE
state, you can delete it. If a
table is in CREATING
or UPDATING
states, then
DynamoDB returns a ResourceInUseException
. If the specified
table does not exist, DynamoDB returns a
ResourceNotFoundException
. If table is already in the
DELETING
state, no error is returned.
DynamoDB might continue to accept data read and write operations, such as
GetItem
and PutItem
, on a table in the
DELETING
state until the table deletion is complete.
When you delete a table, any indexes on that table are also deleted.
If you have DynamoDB Streams enabled on the table, then the corresponding
stream on that table goes into the DISABLED
state, and the
stream is automatically deleted after 24 hours.
Use the DescribeTable
action to check the status of the
table.
deleteTableAsync
in interface AmazonDynamoDBAsync
deleteTableRequest
-
Represents the input of a DeleteTable
operation.
ResourceInUseException
ResourceNotFoundException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DeleteTableResult> deleteTableAsync(DeleteTableRequest deleteTableRequest, AsyncHandler<DeleteTableRequest,DeleteTableResult> asyncHandler) throws AmazonServiceException, AmazonClientException
The DeleteTable
operation deletes a table and all of its
items. After a DeleteTable
request, the specified table is
in the DELETING
state until DynamoDB completes the deletion.
If the table is in the ACTIVE
state, you can delete it. If a
table is in CREATING
or UPDATING
states, then
DynamoDB returns a ResourceInUseException
. If the specified
table does not exist, DynamoDB returns a
ResourceNotFoundException
. If table is already in the
DELETING
state, no error is returned.
DynamoDB might continue to accept data read and write operations, such as
GetItem
and PutItem
, on a table in the
DELETING
state until the table deletion is complete.
When you delete a table, any indexes on that table are also deleted.
If you have DynamoDB Streams enabled on the table, then the corresponding
stream on that table goes into the DISABLED
state, and the
stream is automatically deleted after 24 hours.
Use the DescribeTable
action to check the status of the
table.
deleteTableAsync
in interface AmazonDynamoDBAsync
deleteTableRequest
-
Represents the input of a DeleteTable
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ResourceInUseException
ResourceNotFoundException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeBackupResult> describeBackupAsync(DescribeBackupRequest describeBackupRequest) throws AmazonServiceException, AmazonClientException
Describes an existing backup of a table.
You can call DescribeBackup
at a maximum rate of 10 times
per second.
describeBackupAsync
in interface AmazonDynamoDBAsync
describeBackupRequest
- BackupNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeBackupResult> describeBackupAsync(DescribeBackupRequest describeBackupRequest, AsyncHandler<DescribeBackupRequest,DescribeBackupResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Describes an existing backup of a table.
You can call DescribeBackup
at a maximum rate of 10 times
per second.
describeBackupAsync
in interface AmazonDynamoDBAsync
describeBackupRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.BackupNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeContinuousBackupsResult> describeContinuousBackupsAsync(DescribeContinuousBackupsRequest describeContinuousBackupsRequest) throws AmazonServiceException, AmazonClientException
Checks the status of continuous backups and point in time recovery on the
specified table. Continuous backups are ENABLED
on all
tables at table creation. If point in time recovery is enabled,
PointInTimeRecoveryStatus
will be set to ENABLED.
Once continuous backups and point in time recovery are enabled, you can
restore to any point in time within
EarliestRestorableDateTime
and
LatestRestorableDateTime
.
LatestRestorableDateTime
is typically 5 minutes before the
current time. You can restore your table to any point in time during the
last 35 days.
You can call DescribeContinuousBackups
at a maximum rate of
10 times per second.
describeContinuousBackupsAsync
in interface AmazonDynamoDBAsync
describeContinuousBackupsRequest
- TableNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeContinuousBackupsResult> describeContinuousBackupsAsync(DescribeContinuousBackupsRequest describeContinuousBackupsRequest, AsyncHandler<DescribeContinuousBackupsRequest,DescribeContinuousBackupsResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Checks the status of continuous backups and point in time recovery on the
specified table. Continuous backups are ENABLED
on all
tables at table creation. If point in time recovery is enabled,
PointInTimeRecoveryStatus
will be set to ENABLED.
Once continuous backups and point in time recovery are enabled, you can
restore to any point in time within
EarliestRestorableDateTime
and
LatestRestorableDateTime
.
LatestRestorableDateTime
is typically 5 minutes before the
current time. You can restore your table to any point in time during the
last 35 days.
You can call DescribeContinuousBackups
at a maximum rate of
10 times per second.
describeContinuousBackupsAsync
in interface AmazonDynamoDBAsync
describeContinuousBackupsRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.TableNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeEndpointsResult> describeEndpointsAsync(DescribeEndpointsRequest describeEndpointsRequest) throws AmazonServiceException, AmazonClientException
describeEndpointsAsync
in interface AmazonDynamoDBAsync
describeEndpointsRequest
- 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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeEndpointsResult> describeEndpointsAsync(DescribeEndpointsRequest describeEndpointsRequest, AsyncHandler<DescribeEndpointsRequest,DescribeEndpointsResult> asyncHandler) throws AmazonServiceException, AmazonClientException
describeEndpointsAsync
in interface AmazonDynamoDBAsync
describeEndpointsRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeGlobalTableResult> describeGlobalTableAsync(DescribeGlobalTableRequest describeGlobalTableRequest) throws AmazonServiceException, AmazonClientException
Returns information about the specified global table.
describeGlobalTableAsync
in interface AmazonDynamoDBAsync
describeGlobalTableRequest
- InternalServerErrorException
GlobalTableNotFoundException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeGlobalTableResult> describeGlobalTableAsync(DescribeGlobalTableRequest describeGlobalTableRequest, AsyncHandler<DescribeGlobalTableRequest,DescribeGlobalTableResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Returns information about the specified global table.
describeGlobalTableAsync
in interface AmazonDynamoDBAsync
describeGlobalTableRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.InternalServerErrorException
GlobalTableNotFoundException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeGlobalTableSettingsResult> describeGlobalTableSettingsAsync(DescribeGlobalTableSettingsRequest describeGlobalTableSettingsRequest) throws AmazonServiceException, AmazonClientException
Describes region specific settings for a global table.
describeGlobalTableSettingsAsync
in interface AmazonDynamoDBAsync
describeGlobalTableSettingsRequest
- GlobalTableNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeGlobalTableSettingsResult> describeGlobalTableSettingsAsync(DescribeGlobalTableSettingsRequest describeGlobalTableSettingsRequest, AsyncHandler<DescribeGlobalTableSettingsRequest,DescribeGlobalTableSettingsResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Describes region specific settings for a global table.
describeGlobalTableSettingsAsync
in interface AmazonDynamoDBAsync
describeGlobalTableSettingsRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.GlobalTableNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeLimitsResult> describeLimitsAsync(DescribeLimitsRequest describeLimitsRequest) throws AmazonServiceException, AmazonClientException
Returns the current provisioned-capacity limits for your AWS account in a region, both for the region as a whole and for any one DynamoDB table that you create there.
When you establish an AWS account, the account has initial limits on the maximum read capacity units and write capacity units that you can provision across all of your DynamoDB tables in a given region. Also, there are per-table limits that apply when you create a table there. For more information, see Limits page in the Amazon DynamoDB Developer Guide.
Although you can increase these limits by filing a case at AWS Support
Center, obtaining the increase is not instantaneous. The
DescribeLimits
action lets you write code to compare the
capacity you are currently using to those limits imposed by your account
so that you have enough time to apply for an increase before you hit a
limit.
For example, you could use one of the AWS SDKs to do the following:
Call DescribeLimits
for a particular region to obtain your
current account limits on provisioned capacity there.
Create a variable to hold the aggregate read capacity units provisioned for all your tables in that region, and one to hold the aggregate write capacity units. Zero them both.
Call ListTables
to obtain a list of all your DynamoDB
tables.
For each table name listed by ListTables
, do the following:
Call DescribeTable
with the table name.
Use the data returned by DescribeTable
to add the read
capacity units and write capacity units provisioned for the table itself
to your variables.
If the table has one or more global secondary indexes (GSIs), loop over these GSIs and add their provisioned capacity values to your variables as well.
Report the account limits for that region returned by
DescribeLimits
, along with the total current provisioned
capacity levels you have calculated.
This will let you see whether you are getting close to your account-level limits.
The per-table limits apply only when you are creating a new table. They restrict the sum of the provisioned capacity of the new table itself and all its global secondary indexes.
For existing tables and their GSIs, DynamoDB will not let you increase provisioned capacity extremely rapidly, but the only upper limit that applies is that the aggregate provisioned capacity over all your tables and GSIs cannot exceed either of the per-account limits.
DescribeLimits
should only be called periodically. You can
expect throttling errors if you call it more than once in a minute.
The DescribeLimits
Request element has no content.
describeLimitsAsync
in interface AmazonDynamoDBAsync
describeLimitsRequest
-
Represents the input of a DescribeLimits
operation. Has no content.
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeLimitsResult> describeLimitsAsync(DescribeLimitsRequest describeLimitsRequest, AsyncHandler<DescribeLimitsRequest,DescribeLimitsResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Returns the current provisioned-capacity limits for your AWS account in a region, both for the region as a whole and for any one DynamoDB table that you create there.
When you establish an AWS account, the account has initial limits on the maximum read capacity units and write capacity units that you can provision across all of your DynamoDB tables in a given region. Also, there are per-table limits that apply when you create a table there. For more information, see Limits page in the Amazon DynamoDB Developer Guide.
Although you can increase these limits by filing a case at AWS Support
Center, obtaining the increase is not instantaneous. The
DescribeLimits
action lets you write code to compare the
capacity you are currently using to those limits imposed by your account
so that you have enough time to apply for an increase before you hit a
limit.
For example, you could use one of the AWS SDKs to do the following:
Call DescribeLimits
for a particular region to obtain your
current account limits on provisioned capacity there.
Create a variable to hold the aggregate read capacity units provisioned for all your tables in that region, and one to hold the aggregate write capacity units. Zero them both.
Call ListTables
to obtain a list of all your DynamoDB
tables.
For each table name listed by ListTables
, do the following:
Call DescribeTable
with the table name.
Use the data returned by DescribeTable
to add the read
capacity units and write capacity units provisioned for the table itself
to your variables.
If the table has one or more global secondary indexes (GSIs), loop over these GSIs and add their provisioned capacity values to your variables as well.
Report the account limits for that region returned by
DescribeLimits
, along with the total current provisioned
capacity levels you have calculated.
This will let you see whether you are getting close to your account-level limits.
The per-table limits apply only when you are creating a new table. They restrict the sum of the provisioned capacity of the new table itself and all its global secondary indexes.
For existing tables and their GSIs, DynamoDB will not let you increase provisioned capacity extremely rapidly, but the only upper limit that applies is that the aggregate provisioned capacity over all your tables and GSIs cannot exceed either of the per-account limits.
DescribeLimits
should only be called periodically. You can
expect throttling errors if you call it more than once in a minute.
The DescribeLimits
Request element has no content.
describeLimitsAsync
in interface AmazonDynamoDBAsync
describeLimitsRequest
-
Represents the input of a DescribeLimits
operation. Has no content.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeTableResult> describeTableAsync(DescribeTableRequest describeTableRequest) throws AmazonServiceException, AmazonClientException
Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.
If you issue a DescribeTable
request immediately after a
CreateTable
request, DynamoDB might return a
ResourceNotFoundException
. This is because
DescribeTable
uses an eventually consistent query, and the
metadata for your table might not be available at that moment. Wait for a
few seconds, and then try the DescribeTable
request again.
describeTableAsync
in interface AmazonDynamoDBAsync
describeTableRequest
-
Represents the input of a DescribeTable
operation.
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeTableResult> describeTableAsync(DescribeTableRequest describeTableRequest, AsyncHandler<DescribeTableRequest,DescribeTableResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.
If you issue a DescribeTable
request immediately after a
CreateTable
request, DynamoDB might return a
ResourceNotFoundException
. This is because
DescribeTable
uses an eventually consistent query, and the
metadata for your table might not be available at that moment. Wait for a
few seconds, and then try the DescribeTable
request again.
describeTableAsync
in interface AmazonDynamoDBAsync
describeTableRequest
-
Represents the input of a DescribeTable
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeTimeToLiveResult> describeTimeToLiveAsync(DescribeTimeToLiveRequest describeTimeToLiveRequest) throws AmazonServiceException, AmazonClientException
Gives a description of the Time to Live (TTL) status on the specified table.
describeTimeToLiveAsync
in interface AmazonDynamoDBAsync
describeTimeToLiveRequest
- ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<DescribeTimeToLiveResult> describeTimeToLiveAsync(DescribeTimeToLiveRequest describeTimeToLiveRequest, AsyncHandler<DescribeTimeToLiveRequest,DescribeTimeToLiveResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Gives a description of the Time to Live (TTL) status on the specified table.
describeTimeToLiveAsync
in interface AmazonDynamoDBAsync
describeTimeToLiveRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<GetItemResult> getItemAsync(GetItemRequest getItemRequest) throws AmazonServiceException, AmazonClientException
The GetItem
operation returns a set of attributes for the
item with the given primary key. If there is no matching item,
GetItem
does not return any data and there will be no
Item
element in the response.
GetItem
provides an eventually consistent read by default.
If your application requires a strongly consistent read, set
ConsistentRead
to true
. Although a strongly
consistent read might take more time than an eventually consistent read,
it always returns the last updated value.
getItemAsync
in interface AmazonDynamoDBAsync
getItemRequest
-
Represents the input of a GetItem
operation.
ProvisionedThroughputExceededException
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<GetItemResult> getItemAsync(GetItemRequest getItemRequest, AsyncHandler<GetItemRequest,GetItemResult> asyncHandler) throws AmazonServiceException, AmazonClientException
The GetItem
operation returns a set of attributes for the
item with the given primary key. If there is no matching item,
GetItem
does not return any data and there will be no
Item
element in the response.
GetItem
provides an eventually consistent read by default.
If your application requires a strongly consistent read, set
ConsistentRead
to true
. Although a strongly
consistent read might take more time than an eventually consistent read,
it always returns the last updated value.
getItemAsync
in interface AmazonDynamoDBAsync
getItemRequest
-
Represents the input of a GetItem
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ProvisionedThroughputExceededException
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ListBackupsResult> listBackupsAsync(ListBackupsRequest listBackupsRequest) throws AmazonServiceException, AmazonClientException
List backups associated with an AWS account. To list backups for a given
table, specify TableName
. ListBackups
returns a
paginated list of results with at most 1MB worth of items in a page. You
can also specify a limit for the maximum number of entries to be returned
in a page.
In the request, start time is inclusive but end time is exclusive. Note that these limits are for the time at which the original backup was requested.
You can call ListBackups
a maximum of 5 times per second.
listBackupsAsync
in interface AmazonDynamoDBAsync
listBackupsRequest
- InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ListBackupsResult> listBackupsAsync(ListBackupsRequest listBackupsRequest, AsyncHandler<ListBackupsRequest,ListBackupsResult> asyncHandler) throws AmazonServiceException, AmazonClientException
List backups associated with an AWS account. To list backups for a given
table, specify TableName
. ListBackups
returns a
paginated list of results with at most 1MB worth of items in a page. You
can also specify a limit for the maximum number of entries to be returned
in a page.
In the request, start time is inclusive but end time is exclusive. Note that these limits are for the time at which the original backup was requested.
You can call ListBackups
a maximum of 5 times per second.
listBackupsAsync
in interface AmazonDynamoDBAsync
listBackupsRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ListGlobalTablesResult> listGlobalTablesAsync(ListGlobalTablesRequest listGlobalTablesRequest) throws AmazonServiceException, AmazonClientException
Lists all global tables that have a replica in the specified region.
listGlobalTablesAsync
in interface AmazonDynamoDBAsync
listGlobalTablesRequest
- InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ListGlobalTablesResult> listGlobalTablesAsync(ListGlobalTablesRequest listGlobalTablesRequest, AsyncHandler<ListGlobalTablesRequest,ListGlobalTablesResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Lists all global tables that have a replica in the specified region.
listGlobalTablesAsync
in interface AmazonDynamoDBAsync
listGlobalTablesRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ListTablesResult> listTablesAsync(ListTablesRequest listTablesRequest) throws AmazonServiceException, AmazonClientException
Returns an array of table names associated with the current account and
endpoint. The output from ListTables
is paginated, with each
page returning a maximum of 100 table names.
listTablesAsync
in interface AmazonDynamoDBAsync
listTablesRequest
-
Represents the input of a ListTables
operation.
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ListTablesResult> listTablesAsync(ListTablesRequest listTablesRequest, AsyncHandler<ListTablesRequest,ListTablesResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Returns an array of table names associated with the current account and
endpoint. The output from ListTables
is paginated, with each
page returning a maximum of 100 table names.
listTablesAsync
in interface AmazonDynamoDBAsync
listTablesRequest
-
Represents the input of a ListTables
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ListTagsOfResourceResult> listTagsOfResourceAsync(ListTagsOfResourceRequest listTagsOfResourceRequest) throws AmazonServiceException, AmazonClientException
List all tags on an Amazon DynamoDB resource. You can call ListTagsOfResource up to 10 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
listTagsOfResourceAsync
in interface AmazonDynamoDBAsync
listTagsOfResourceRequest
- ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ListTagsOfResourceResult> listTagsOfResourceAsync(ListTagsOfResourceRequest listTagsOfResourceRequest, AsyncHandler<ListTagsOfResourceRequest,ListTagsOfResourceResult> asyncHandler) throws AmazonServiceException, AmazonClientException
List all tags on an Amazon DynamoDB resource. You can call ListTagsOfResource up to 10 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
listTagsOfResourceAsync
in interface AmazonDynamoDBAsync
listTagsOfResourceRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<PutItemResult> putItemAsync(PutItemRequest putItemRequest) throws AmazonServiceException, AmazonClientException
Creates a new item, or replaces an old item with a new item. If an item
that has the same primary key as the new item already exists in the
specified table, the new item completely replaces the existing item. You
can perform a conditional put operation (add a new item if one with the
specified primary key doesn't exist), or replace an existing item if it
has certain attribute values. You can return the item's attribute values
in the same operation, using the ReturnValues
parameter.
This topic provides general information about the PutItem
API.
For information on how to call the PutItem
API using the AWS
SDK in specific languages, see the following:
When you add an item, the primary key attribute(s) are the only required
attributes. Attribute values cannot be null. String and Binary type
attributes must have lengths greater than zero. Set type attributes
cannot be empty. Requests with empty values will be rejected with a
ValidationException
exception.
To prevent a new item from replacing an existing item, use a conditional
expression that contains the attribute_not_exists
function
with the name of the attribute being used as the partition key for the
table. Since every record must contain that attribute, the
attribute_not_exists
function will only succeed if no
matching item exists.
For more information about PutItem
, see Working with Items in the Amazon DynamoDB Developer Guide.
putItemAsync
in interface AmazonDynamoDBAsync
putItemRequest
-
Represents the input of a PutItem
operation.
ConditionalCheckFailedException
ProvisionedThroughputExceededException
ResourceNotFoundException
ItemCollectionSizeLimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<PutItemResult> putItemAsync(PutItemRequest putItemRequest, AsyncHandler<PutItemRequest,PutItemResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Creates a new item, or replaces an old item with a new item. If an item
that has the same primary key as the new item already exists in the
specified table, the new item completely replaces the existing item. You
can perform a conditional put operation (add a new item if one with the
specified primary key doesn't exist), or replace an existing item if it
has certain attribute values. You can return the item's attribute values
in the same operation, using the ReturnValues
parameter.
This topic provides general information about the PutItem
API.
For information on how to call the PutItem
API using the AWS
SDK in specific languages, see the following:
When you add an item, the primary key attribute(s) are the only required
attributes. Attribute values cannot be null. String and Binary type
attributes must have lengths greater than zero. Set type attributes
cannot be empty. Requests with empty values will be rejected with a
ValidationException
exception.
To prevent a new item from replacing an existing item, use a conditional
expression that contains the attribute_not_exists
function
with the name of the attribute being used as the partition key for the
table. Since every record must contain that attribute, the
attribute_not_exists
function will only succeed if no
matching item exists.
For more information about PutItem
, see Working with Items in the Amazon DynamoDB Developer Guide.
putItemAsync
in interface AmazonDynamoDBAsync
putItemRequest
-
Represents the input of a PutItem
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ConditionalCheckFailedException
ProvisionedThroughputExceededException
ResourceNotFoundException
ItemCollectionSizeLimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<QueryResult> queryAsync(QueryRequest queryRequest) throws AmazonServiceException, AmazonClientException
The Query
operation finds items based on primary key values.
You can query any table or secondary index that has a composite primary
key (a partition key and a sort key).
Use the KeyConditionExpression
parameter to provide a
specific value for the partition key. The Query
operation
will return all of the items from the table or index with that partition
key value. You can optionally narrow the scope of the Query
operation by specifying a sort key value and a comparison operator in
KeyConditionExpression
. To further refine the
Query
results, you can optionally provide a
FilterExpression
. A FilterExpression
determines
which items within the results should be returned to you. All of the
other results are discarded.
A Query
operation always returns a result set. If no
matching items are found, the result set will be empty. Queries that do
not return results consume the minimum number of read capacity units for
that type of read operation.
DynamoDB calculates the number of read capacity units consumed based on
item size, not on the amount of data that is returned to an application.
The number of capacity units consumed will be the same whether you
request all of the attributes (the default behavior) or just some of them
(using a projection expression). The number will also be the same whether
or not you use a FilterExpression
.
Query
results are always sorted by the sort key value. If
the data type of the sort key is Number, the results are returned in
numeric order; otherwise, the results are returned in order of UTF-8
bytes. By default, the sort order is ascending. To reverse the order, set
the ScanIndexForward
parameter to false.
A single Query
operation will read up to the maximum number
of items set (if using the Limit
parameter) or a maximum of
1 MB of data and then apply any filtering to the results using
FilterExpression
. If LastEvaluatedKey
is
present in the response, you will need to paginate the result set. For
more information, see Paginating the Results in the Amazon DynamoDB Developer
Guide.
FilterExpression
is applied after a Query
finishes, but before the results are returned. A
FilterExpression
cannot contain partition key or sort key
attributes. You need to specify those attributes in the
KeyConditionExpression
.
A Query
operation can return an empty result set and a
LastEvaluatedKey
if all the items read for the page of
results are filtered out.
You can query a table, a local secondary index, or a global secondary
index. For a query on a table or on a local secondary index, you can set
the ConsistentRead
parameter to true
and obtain
a strongly consistent result. Global secondary indexes support eventually
consistent reads only, so do not specify ConsistentRead
when
querying a global secondary index.
queryAsync
in interface AmazonDynamoDBAsync
queryRequest
-
Represents the input of a Query
operation.
ProvisionedThroughputExceededException
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<QueryResult> queryAsync(QueryRequest queryRequest, AsyncHandler<QueryRequest,QueryResult> asyncHandler) throws AmazonServiceException, AmazonClientException
The Query
operation finds items based on primary key values.
You can query any table or secondary index that has a composite primary
key (a partition key and a sort key).
Use the KeyConditionExpression
parameter to provide a
specific value for the partition key. The Query
operation
will return all of the items from the table or index with that partition
key value. You can optionally narrow the scope of the Query
operation by specifying a sort key value and a comparison operator in
KeyConditionExpression
. To further refine the
Query
results, you can optionally provide a
FilterExpression
. A FilterExpression
determines
which items within the results should be returned to you. All of the
other results are discarded.
A Query
operation always returns a result set. If no
matching items are found, the result set will be empty. Queries that do
not return results consume the minimum number of read capacity units for
that type of read operation.
DynamoDB calculates the number of read capacity units consumed based on
item size, not on the amount of data that is returned to an application.
The number of capacity units consumed will be the same whether you
request all of the attributes (the default behavior) or just some of them
(using a projection expression). The number will also be the same whether
or not you use a FilterExpression
.
Query
results are always sorted by the sort key value. If
the data type of the sort key is Number, the results are returned in
numeric order; otherwise, the results are returned in order of UTF-8
bytes. By default, the sort order is ascending. To reverse the order, set
the ScanIndexForward
parameter to false.
A single Query
operation will read up to the maximum number
of items set (if using the Limit
parameter) or a maximum of
1 MB of data and then apply any filtering to the results using
FilterExpression
. If LastEvaluatedKey
is
present in the response, you will need to paginate the result set. For
more information, see Paginating the Results in the Amazon DynamoDB Developer
Guide.
FilterExpression
is applied after a Query
finishes, but before the results are returned. A
FilterExpression
cannot contain partition key or sort key
attributes. You need to specify those attributes in the
KeyConditionExpression
.
A Query
operation can return an empty result set and a
LastEvaluatedKey
if all the items read for the page of
results are filtered out.
You can query a table, a local secondary index, or a global secondary
index. For a query on a table or on a local secondary index, you can set
the ConsistentRead
parameter to true
and obtain
a strongly consistent result. Global secondary indexes support eventually
consistent reads only, so do not specify ConsistentRead
when
querying a global secondary index.
queryAsync
in interface AmazonDynamoDBAsync
queryRequest
-
Represents the input of a Query
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ProvisionedThroughputExceededException
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<RestoreTableFromBackupResult> restoreTableFromBackupAsync(RestoreTableFromBackupRequest restoreTableFromBackupRequest) throws AmazonServiceException, AmazonClientException
Creates a new table from an existing backup. Any number of users can execute up to 4 concurrent restores (any type of restore) in a given account.
You can call RestoreTableFromBackup
at a maximum rate of 10
times per second.
You must manually set up the following on the restored table:
Auto scaling policies
IAM policies
Cloudwatch metrics and alarms
Tags
Stream settings
Time to Live (TTL) settings
restoreTableFromBackupAsync
in interface AmazonDynamoDBAsync
restoreTableFromBackupRequest
- TableAlreadyExistsException
TableInUseException
BackupNotFoundException
BackupInUseException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<RestoreTableFromBackupResult> restoreTableFromBackupAsync(RestoreTableFromBackupRequest restoreTableFromBackupRequest, AsyncHandler<RestoreTableFromBackupRequest,RestoreTableFromBackupResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Creates a new table from an existing backup. Any number of users can execute up to 4 concurrent restores (any type of restore) in a given account.
You can call RestoreTableFromBackup
at a maximum rate of 10
times per second.
You must manually set up the following on the restored table:
Auto scaling policies
IAM policies
Cloudwatch metrics and alarms
Tags
Stream settings
Time to Live (TTL) settings
restoreTableFromBackupAsync
in interface AmazonDynamoDBAsync
restoreTableFromBackupRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.TableAlreadyExistsException
TableInUseException
BackupNotFoundException
BackupInUseException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<RestoreTableToPointInTimeResult> restoreTableToPointInTimeAsync(RestoreTableToPointInTimeRequest restoreTableToPointInTimeRequest) throws AmazonServiceException, AmazonClientException
Restores the specified table to the specified point in time within
EarliestRestorableDateTime
and
LatestRestorableDateTime
. You can restore your table to any
point in time during the last 35 days. Any number of users can execute up
to 4 concurrent restores (any type of restore) in a given account.
When you restore using point in time recovery, DynamoDB restores your table data to the state based on the selected date and time (day:hour:minute:second) to a new table.
Along with data, the following are also included on the new restored table using point in time recovery:
Global secondary indexes (GSIs)
Local secondary indexes (LSIs)
Provisioned read and write capacity
Encryption settings
All these settings come from the current settings of the source table at the time of restore.
You must manually set up the following on the restored table:
Auto scaling policies
IAM policies
Cloudwatch metrics and alarms
Tags
Stream settings
Time to Live (TTL) settings
Point in time recovery settings
restoreTableToPointInTimeAsync
in interface AmazonDynamoDBAsync
restoreTableToPointInTimeRequest
- TableAlreadyExistsException
TableNotFoundException
TableInUseException
LimitExceededException
InvalidRestoreTimeException
PointInTimeRecoveryUnavailableException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<RestoreTableToPointInTimeResult> restoreTableToPointInTimeAsync(RestoreTableToPointInTimeRequest restoreTableToPointInTimeRequest, AsyncHandler<RestoreTableToPointInTimeRequest,RestoreTableToPointInTimeResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Restores the specified table to the specified point in time within
EarliestRestorableDateTime
and
LatestRestorableDateTime
. You can restore your table to any
point in time during the last 35 days. Any number of users can execute up
to 4 concurrent restores (any type of restore) in a given account.
When you restore using point in time recovery, DynamoDB restores your table data to the state based on the selected date and time (day:hour:minute:second) to a new table.
Along with data, the following are also included on the new restored table using point in time recovery:
Global secondary indexes (GSIs)
Local secondary indexes (LSIs)
Provisioned read and write capacity
Encryption settings
All these settings come from the current settings of the source table at the time of restore.
You must manually set up the following on the restored table:
Auto scaling policies
IAM policies
Cloudwatch metrics and alarms
Tags
Stream settings
Time to Live (TTL) settings
Point in time recovery settings
restoreTableToPointInTimeAsync
in interface AmazonDynamoDBAsync
restoreTableToPointInTimeRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.TableAlreadyExistsException
TableNotFoundException
TableInUseException
LimitExceededException
InvalidRestoreTimeException
PointInTimeRecoveryUnavailableException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ScanResult> scanAsync(ScanRequest scanRequest) throws AmazonServiceException, AmazonClientException
The Scan
operation returns one or more items and item
attributes by accessing every item in a table or a secondary index. To
have DynamoDB return fewer items, you can provide a
FilterExpression
operation.
If the total number of scanned items exceeds the maximum data set size
limit of 1 MB, the scan stops and results are returned to the user as a
LastEvaluatedKey
value to continue the scan in a subsequent
operation. The results also include the number of items exceeding the
limit. A scan can result in no table data meeting the filter criteria.
A single Scan
operation will read up to the maximum number
of items set (if using the Limit
parameter) or a maximum of
1 MB of data and then apply any filtering to the results using
FilterExpression
. If LastEvaluatedKey
is
present in the response, you will need to paginate the result set. For
more information, see Paginating the Results in the Amazon DynamoDB Developer
Guide.
Scan
operations proceed sequentially; however, for faster
performance on a large table or secondary index, applications can request
a parallel Scan
operation by providing the
Segment
and TotalSegments
parameters. For more
information, see Parallel Scan in the Amazon DynamoDB Developer Guide.
Scan
uses eventually consistent reads when accessing the
data in a table; therefore, the result set might not include the changes
to data in the table immediately before the operation began. If you need
a consistent copy of the data, as of the time that the Scan
begins, you can set the ConsistentRead
parameter to
true
.
scanAsync
in interface AmazonDynamoDBAsync
scanRequest
-
Represents the input of a Scan
operation.
ProvisionedThroughputExceededException
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<ScanResult> scanAsync(ScanRequest scanRequest, AsyncHandler<ScanRequest,ScanResult> asyncHandler) throws AmazonServiceException, AmazonClientException
The Scan
operation returns one or more items and item
attributes by accessing every item in a table or a secondary index. To
have DynamoDB return fewer items, you can provide a
FilterExpression
operation.
If the total number of scanned items exceeds the maximum data set size
limit of 1 MB, the scan stops and results are returned to the user as a
LastEvaluatedKey
value to continue the scan in a subsequent
operation. The results also include the number of items exceeding the
limit. A scan can result in no table data meeting the filter criteria.
A single Scan
operation will read up to the maximum number
of items set (if using the Limit
parameter) or a maximum of
1 MB of data and then apply any filtering to the results using
FilterExpression
. If LastEvaluatedKey
is
present in the response, you will need to paginate the result set. For
more information, see Paginating the Results in the Amazon DynamoDB Developer
Guide.
Scan
operations proceed sequentially; however, for faster
performance on a large table or secondary index, applications can request
a parallel Scan
operation by providing the
Segment
and TotalSegments
parameters. For more
information, see Parallel Scan in the Amazon DynamoDB Developer Guide.
Scan
uses eventually consistent reads when accessing the
data in a table; therefore, the result set might not include the changes
to data in the table immediately before the operation began. If you need
a consistent copy of the data, as of the time that the Scan
begins, you can set the ConsistentRead
parameter to
true
.
scanAsync
in interface AmazonDynamoDBAsync
scanRequest
-
Represents the input of a Scan
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ProvisionedThroughputExceededException
ResourceNotFoundException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<java.lang.Void> tagResourceAsync(TagResourceRequest tagResourceRequest) throws AmazonServiceException, AmazonClientException
Associate a set of tags with an Amazon DynamoDB resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking. You can call TagResource up to 5 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
tagResourceAsync
in interface AmazonDynamoDBAsync
tagResourceRequest
- LimitExceededException
ResourceNotFoundException
InternalServerErrorException
ResourceInUseException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<java.lang.Void> tagResourceAsync(TagResourceRequest tagResourceRequest, AsyncHandler<TagResourceRequest,java.lang.Void> asyncHandler) throws AmazonServiceException, AmazonClientException
Associate a set of tags with an Amazon DynamoDB resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking. You can call TagResource up to 5 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
tagResourceAsync
in interface AmazonDynamoDBAsync
tagResourceRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.LimitExceededException
ResourceNotFoundException
InternalServerErrorException
ResourceInUseException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<java.lang.Void> untagResourceAsync(UntagResourceRequest untagResourceRequest) throws AmazonServiceException, AmazonClientException
Removes the association of tags from an Amazon DynamoDB resource. You can call UntagResource up to 5 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
untagResourceAsync
in interface AmazonDynamoDBAsync
untagResourceRequest
- LimitExceededException
ResourceNotFoundException
InternalServerErrorException
ResourceInUseException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<java.lang.Void> untagResourceAsync(UntagResourceRequest untagResourceRequest, AsyncHandler<UntagResourceRequest,java.lang.Void> asyncHandler) throws AmazonServiceException, AmazonClientException
Removes the association of tags from an Amazon DynamoDB resource. You can call UntagResource up to 5 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
untagResourceAsync
in interface AmazonDynamoDBAsync
untagResourceRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.LimitExceededException
ResourceNotFoundException
InternalServerErrorException
ResourceInUseException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateContinuousBackupsResult> updateContinuousBackupsAsync(UpdateContinuousBackupsRequest updateContinuousBackupsRequest) throws AmazonServiceException, AmazonClientException
UpdateContinuousBackups
enables or disables point in time
recovery for the specified table. A successful
UpdateContinuousBackups
call returns the current
ContinuousBackupsDescription
. Continuous backups are
ENABLED
on all tables at table creation. If point in time
recovery is enabled, PointInTimeRecoveryStatus
will be set
to ENABLED.
Once continuous backups and point in time recovery are enabled, you can
restore to any point in time within
EarliestRestorableDateTime
and
LatestRestorableDateTime
.
LatestRestorableDateTime
is typically 5 minutes before the
current time. You can restore your table to any point in time during the
last 35 days..
updateContinuousBackupsAsync
in interface AmazonDynamoDBAsync
updateContinuousBackupsRequest
- TableNotFoundException
ContinuousBackupsUnavailableException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateContinuousBackupsResult> updateContinuousBackupsAsync(UpdateContinuousBackupsRequest updateContinuousBackupsRequest, AsyncHandler<UpdateContinuousBackupsRequest,UpdateContinuousBackupsResult> asyncHandler) throws AmazonServiceException, AmazonClientException
UpdateContinuousBackups
enables or disables point in time
recovery for the specified table. A successful
UpdateContinuousBackups
call returns the current
ContinuousBackupsDescription
. Continuous backups are
ENABLED
on all tables at table creation. If point in time
recovery is enabled, PointInTimeRecoveryStatus
will be set
to ENABLED.
Once continuous backups and point in time recovery are enabled, you can
restore to any point in time within
EarliestRestorableDateTime
and
LatestRestorableDateTime
.
LatestRestorableDateTime
is typically 5 minutes before the
current time. You can restore your table to any point in time during the
last 35 days..
updateContinuousBackupsAsync
in interface AmazonDynamoDBAsync
updateContinuousBackupsRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.TableNotFoundException
ContinuousBackupsUnavailableException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateGlobalTableResult> updateGlobalTableAsync(UpdateGlobalTableRequest updateGlobalTableRequest) throws AmazonServiceException, AmazonClientException
Adds or removes replicas in the specified global table. The global table must already exist to be able to use this operation. Any replica to be added must be empty, must have the same name as the global table, must have the same key schema, and must have DynamoDB Streams enabled and must have same provisioned and maximum write capacity units.
Although you can use UpdateGlobalTable
to add replicas and
remove replicas in a single request, for simplicity we recommend that you
issue separate requests for adding or removing replicas.
If global secondary indexes are specified, then the following conditions must also be met:
The global secondary indexes must have the same name.
The global secondary indexes must have the same hash key and sort key (if present).
The global secondary indexes must have the same provisioned and maximum write capacity units.
updateGlobalTableAsync
in interface AmazonDynamoDBAsync
updateGlobalTableRequest
- InternalServerErrorException
GlobalTableNotFoundException
ReplicaAlreadyExistsException
ReplicaNotFoundException
TableNotFoundException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateGlobalTableResult> updateGlobalTableAsync(UpdateGlobalTableRequest updateGlobalTableRequest, AsyncHandler<UpdateGlobalTableRequest,UpdateGlobalTableResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Adds or removes replicas in the specified global table. The global table must already exist to be able to use this operation. Any replica to be added must be empty, must have the same name as the global table, must have the same key schema, and must have DynamoDB Streams enabled and must have same provisioned and maximum write capacity units.
Although you can use UpdateGlobalTable
to add replicas and
remove replicas in a single request, for simplicity we recommend that you
issue separate requests for adding or removing replicas.
If global secondary indexes are specified, then the following conditions must also be met:
The global secondary indexes must have the same name.
The global secondary indexes must have the same hash key and sort key (if present).
The global secondary indexes must have the same provisioned and maximum write capacity units.
updateGlobalTableAsync
in interface AmazonDynamoDBAsync
updateGlobalTableRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.InternalServerErrorException
GlobalTableNotFoundException
ReplicaAlreadyExistsException
ReplicaNotFoundException
TableNotFoundException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateGlobalTableSettingsResult> updateGlobalTableSettingsAsync(UpdateGlobalTableSettingsRequest updateGlobalTableSettingsRequest) throws AmazonServiceException, AmazonClientException
Updates settings for a global table.
updateGlobalTableSettingsAsync
in interface AmazonDynamoDBAsync
updateGlobalTableSettingsRequest
- GlobalTableNotFoundException
ReplicaNotFoundException
IndexNotFoundException
LimitExceededException
ResourceInUseException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateGlobalTableSettingsResult> updateGlobalTableSettingsAsync(UpdateGlobalTableSettingsRequest updateGlobalTableSettingsRequest, AsyncHandler<UpdateGlobalTableSettingsRequest,UpdateGlobalTableSettingsResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Updates settings for a global table.
updateGlobalTableSettingsAsync
in interface AmazonDynamoDBAsync
updateGlobalTableSettingsRequest
- asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.GlobalTableNotFoundException
ReplicaNotFoundException
IndexNotFoundException
LimitExceededException
ResourceInUseException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateItemResult> updateItemAsync(UpdateItemRequest updateItemRequest) throws AmazonServiceException, AmazonClientException
Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).
You can also return the item's attribute values in the same
UpdateItem
operation using the ReturnValues
parameter.
updateItemAsync
in interface AmazonDynamoDBAsync
updateItemRequest
-
Represents the input of an UpdateItem
operation.
ConditionalCheckFailedException
ProvisionedThroughputExceededException
ResourceNotFoundException
ItemCollectionSizeLimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateItemResult> updateItemAsync(UpdateItemRequest updateItemRequest, AsyncHandler<UpdateItemRequest,UpdateItemResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).
You can also return the item's attribute values in the same
UpdateItem
operation using the ReturnValues
parameter.
updateItemAsync
in interface AmazonDynamoDBAsync
updateItemRequest
-
Represents the input of an UpdateItem
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ConditionalCheckFailedException
ProvisionedThroughputExceededException
ResourceNotFoundException
ItemCollectionSizeLimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateTableResult> updateTableAsync(UpdateTableRequest updateTableRequest) throws AmazonServiceException, AmazonClientException
Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.
You can only perform one of the following operations at once:
Modify the provisioned throughput settings of the table.
Enable or disable Streams on the table.
Remove a global secondary index from the table.
Create a new global secondary index on the table. Once the index begins
backfilling, you can use UpdateTable
to perform other
operations.
UpdateTable
is an asynchronous operation; while it is
executing, the table status changes from ACTIVE
to
UPDATING
. While it is UPDATING
, you cannot
issue another UpdateTable
request. When the table returns to
the ACTIVE
state, the UpdateTable
operation is
complete.
updateTableAsync
in interface AmazonDynamoDBAsync
updateTableRequest
-
Represents the input of an UpdateTable
operation.
ResourceInUseException
ResourceNotFoundException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateTableResult> updateTableAsync(UpdateTableRequest updateTableRequest, AsyncHandler<UpdateTableRequest,UpdateTableResult> asyncHandler) throws AmazonServiceException, AmazonClientException
Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.
You can only perform one of the following operations at once:
Modify the provisioned throughput settings of the table.
Enable or disable Streams on the table.
Remove a global secondary index from the table.
Create a new global secondary index on the table. Once the index begins
backfilling, you can use UpdateTable
to perform other
operations.
UpdateTable
is an asynchronous operation; while it is
executing, the table status changes from ACTIVE
to
UPDATING
. While it is UPDATING
, you cannot
issue another UpdateTable
request. When the table returns to
the ACTIVE
state, the UpdateTable
operation is
complete.
updateTableAsync
in interface AmazonDynamoDBAsync
updateTableRequest
-
Represents the input of an UpdateTable
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ResourceInUseException
ResourceNotFoundException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateTimeToLiveResult> updateTimeToLiveAsync(UpdateTimeToLiveRequest updateTimeToLiveRequest) throws AmazonServiceException, AmazonClientException
The UpdateTimeToLive method will enable or disable TTL for the specified
table. A successful UpdateTimeToLive
call returns the
current TimeToLiveSpecification
; it may take up to one hour
for the change to fully process. Any additional
UpdateTimeToLive
calls for the same table during this one
hour duration result in a ValidationException
.
TTL compares the current time in epoch time format to the time stored in the TTL attribute of an item. If the epoch time value stored in the attribute is less than the current time, the item is marked as expired and subsequently deleted.
The epoch time format is the number of seconds elapsed since 12:00:00 AM January 1st, 1970 UTC.
DynamoDB deletes expired items on a best-effort basis to ensure availability of throughput for other data operations.
DynamoDB typically deletes expired items within two days of expiration. The exact duration within which an item gets deleted after expiration is specific to the nature of the workload. Items that have expired and not been deleted will still show up in reads, queries, and scans.
As items are deleted, they are removed from any Local Secondary Index and Global Secondary Index immediately in the same eventually consistent way as a standard delete operation.
For more information, see Time To Live in the Amazon DynamoDB Developer Guide.
updateTimeToLiveAsync
in interface AmazonDynamoDBAsync
updateTimeToLiveRequest
-
Represents the input of an UpdateTimeToLive
operation.
ResourceInUseException
ResourceNotFoundException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.public java.util.concurrent.Future<UpdateTimeToLiveResult> updateTimeToLiveAsync(UpdateTimeToLiveRequest updateTimeToLiveRequest, AsyncHandler<UpdateTimeToLiveRequest,UpdateTimeToLiveResult> asyncHandler) throws AmazonServiceException, AmazonClientException
The UpdateTimeToLive method will enable or disable TTL for the specified
table. A successful UpdateTimeToLive
call returns the
current TimeToLiveSpecification
; it may take up to one hour
for the change to fully process. Any additional
UpdateTimeToLive
calls for the same table during this one
hour duration result in a ValidationException
.
TTL compares the current time in epoch time format to the time stored in the TTL attribute of an item. If the epoch time value stored in the attribute is less than the current time, the item is marked as expired and subsequently deleted.
The epoch time format is the number of seconds elapsed since 12:00:00 AM January 1st, 1970 UTC.
DynamoDB deletes expired items on a best-effort basis to ensure availability of throughput for other data operations.
DynamoDB typically deletes expired items within two days of expiration. The exact duration within which an item gets deleted after expiration is specific to the nature of the workload. Items that have expired and not been deleted will still show up in reads, queries, and scans.
As items are deleted, they are removed from any Local Secondary Index and Global Secondary Index immediately in the same eventually consistent way as a standard delete operation.
For more information, see Time To Live in the Amazon DynamoDB Developer Guide.
updateTimeToLiveAsync
in interface AmazonDynamoDBAsync
updateTimeToLiveRequest
-
Represents the input of an UpdateTimeToLive
operation.
asyncHandler
- Asynchronous callback handler for events in the
life-cycle of the request. Users could provide the
implementation of the four callback methods in this interface
to process the operation result or handle the exception.ResourceInUseException
ResourceNotFoundException
LimitExceededException
InternalServerErrorException
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.AmazonServiceException
- If an error response is returned by Amazon
DynamoDB indicating either a problem with the data in the
request, or a server side issue.Copyright © 2018 Amazon Web Services, Inc. All Rights Reserved.