@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public interface AmazonKinesisAsync extends AmazonKinesis
AsyncHandler can be used to receive
notification when an asynchronous operation completes.
Note: Do not directly implement this interface, new methods are added to it regularly. Extend from
AbstractAmazonKinesisAsync instead.
Amazon Kinesis Streams is a managed service that scales elastically for real time processing of streaming big data.
ENDPOINT_PREFIX| Modifier and Type | Method and Description |
|---|---|
Future<AddTagsToStreamResult> |
addTagsToStreamAsync(AddTagsToStreamRequest addTagsToStreamRequest)
Adds or updates tags for the specified Amazon Kinesis stream.
|
Future<AddTagsToStreamResult> |
addTagsToStreamAsync(AddTagsToStreamRequest addTagsToStreamRequest,
AsyncHandler<AddTagsToStreamRequest,AddTagsToStreamResult> asyncHandler)
Adds or updates tags for the specified Amazon Kinesis stream.
|
Future<CreateStreamResult> |
createStreamAsync(CreateStreamRequest createStreamRequest)
Creates an Amazon Kinesis stream.
|
Future<CreateStreamResult> |
createStreamAsync(CreateStreamRequest createStreamRequest,
AsyncHandler<CreateStreamRequest,CreateStreamResult> asyncHandler)
Creates an Amazon Kinesis stream.
|
Future<CreateStreamResult> |
createStreamAsync(String streamName,
Integer shardCount)
Simplified method form for invoking the CreateStream operation.
|
Future<CreateStreamResult> |
createStreamAsync(String streamName,
Integer shardCount,
AsyncHandler<CreateStreamRequest,CreateStreamResult> asyncHandler)
Simplified method form for invoking the CreateStream operation with an AsyncHandler.
|
Future<DecreaseStreamRetentionPeriodResult> |
decreaseStreamRetentionPeriodAsync(DecreaseStreamRetentionPeriodRequest decreaseStreamRetentionPeriodRequest)
Decreases the Amazon Kinesis stream's retention period, which is the length of time data records are accessible
after they are added to the stream.
|
Future<DecreaseStreamRetentionPeriodResult> |
decreaseStreamRetentionPeriodAsync(DecreaseStreamRetentionPeriodRequest decreaseStreamRetentionPeriodRequest,
AsyncHandler<DecreaseStreamRetentionPeriodRequest,DecreaseStreamRetentionPeriodResult> asyncHandler)
Decreases the Amazon Kinesis stream's retention period, which is the length of time data records are accessible
after they are added to the stream.
|
Future<DeleteStreamResult> |
deleteStreamAsync(DeleteStreamRequest deleteStreamRequest)
Deletes an Amazon Kinesis stream and all its shards and data.
|
Future<DeleteStreamResult> |
deleteStreamAsync(DeleteStreamRequest deleteStreamRequest,
AsyncHandler<DeleteStreamRequest,DeleteStreamResult> asyncHandler)
Deletes an Amazon Kinesis stream and all its shards and data.
|
Future<DeleteStreamResult> |
deleteStreamAsync(String streamName)
Simplified method form for invoking the DeleteStream operation.
|
Future<DeleteStreamResult> |
deleteStreamAsync(String streamName,
AsyncHandler<DeleteStreamRequest,DeleteStreamResult> asyncHandler)
Simplified method form for invoking the DeleteStream operation with an AsyncHandler.
|
Future<DescribeLimitsResult> |
describeLimitsAsync(DescribeLimitsRequest describeLimitsRequest)
Describes the shard limits and usage for the account.
|
Future<DescribeLimitsResult> |
describeLimitsAsync(DescribeLimitsRequest describeLimitsRequest,
AsyncHandler<DescribeLimitsRequest,DescribeLimitsResult> asyncHandler)
Describes the shard limits and usage for the account.
|
Future<DescribeStreamResult> |
describeStreamAsync(DescribeStreamRequest describeStreamRequest)
Describes the specified Amazon Kinesis stream.
|
Future<DescribeStreamResult> |
describeStreamAsync(DescribeStreamRequest describeStreamRequest,
AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Describes the specified Amazon Kinesis stream.
|
Future<DescribeStreamResult> |
describeStreamAsync(String streamName)
Simplified method form for invoking the DescribeStream operation.
|
Future<DescribeStreamResult> |
describeStreamAsync(String streamName,
AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Simplified method form for invoking the DescribeStream operation with an AsyncHandler.
|
Future<DescribeStreamResult> |
describeStreamAsync(String streamName,
Integer limit,
String exclusiveStartShardId)
Simplified method form for invoking the DescribeStream operation.
|
Future<DescribeStreamResult> |
describeStreamAsync(String streamName,
Integer limit,
String exclusiveStartShardId,
AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Simplified method form for invoking the DescribeStream operation with an AsyncHandler.
|
Future<DescribeStreamResult> |
describeStreamAsync(String streamName,
String exclusiveStartShardId)
Simplified method form for invoking the DescribeStream operation.
|
Future<DescribeStreamResult> |
describeStreamAsync(String streamName,
String exclusiveStartShardId,
AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Simplified method form for invoking the DescribeStream operation with an AsyncHandler.
|
Future<DisableEnhancedMonitoringResult> |
disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest disableEnhancedMonitoringRequest)
Disables enhanced monitoring.
|
Future<DisableEnhancedMonitoringResult> |
disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest disableEnhancedMonitoringRequest,
AsyncHandler<DisableEnhancedMonitoringRequest,DisableEnhancedMonitoringResult> asyncHandler)
Disables enhanced monitoring.
|
Future<EnableEnhancedMonitoringResult> |
enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest enableEnhancedMonitoringRequest)
Enables enhanced Amazon Kinesis stream monitoring for shard-level metrics.
|
Future<EnableEnhancedMonitoringResult> |
enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest enableEnhancedMonitoringRequest,
AsyncHandler<EnableEnhancedMonitoringRequest,EnableEnhancedMonitoringResult> asyncHandler)
Enables enhanced Amazon Kinesis stream monitoring for shard-level metrics.
|
Future<GetRecordsResult> |
getRecordsAsync(GetRecordsRequest getRecordsRequest)
Gets data records from an Amazon Kinesis stream's shard.
|
Future<GetRecordsResult> |
getRecordsAsync(GetRecordsRequest getRecordsRequest,
AsyncHandler<GetRecordsRequest,GetRecordsResult> asyncHandler)
Gets data records from an Amazon Kinesis stream's shard.
|
Future<GetShardIteratorResult> |
getShardIteratorAsync(GetShardIteratorRequest getShardIteratorRequest)
Gets an Amazon Kinesis shard iterator.
|
Future<GetShardIteratorResult> |
getShardIteratorAsync(GetShardIteratorRequest getShardIteratorRequest,
AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
Gets an Amazon Kinesis shard iterator.
|
Future<GetShardIteratorResult> |
getShardIteratorAsync(String streamName,
String shardId,
String shardIteratorType)
Simplified method form for invoking the GetShardIterator operation.
|
Future<GetShardIteratorResult> |
getShardIteratorAsync(String streamName,
String shardId,
String shardIteratorType,
AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
Simplified method form for invoking the GetShardIterator operation with an AsyncHandler.
|
Future<GetShardIteratorResult> |
getShardIteratorAsync(String streamName,
String shardId,
String shardIteratorType,
String startingSequenceNumber)
Simplified method form for invoking the GetShardIterator operation.
|
Future<GetShardIteratorResult> |
getShardIteratorAsync(String streamName,
String shardId,
String shardIteratorType,
String startingSequenceNumber,
AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
Simplified method form for invoking the GetShardIterator operation with an AsyncHandler.
|
Future<IncreaseStreamRetentionPeriodResult> |
increaseStreamRetentionPeriodAsync(IncreaseStreamRetentionPeriodRequest increaseStreamRetentionPeriodRequest)
Increases the Amazon Kinesis stream's retention period, which is the length of time data records are accessible
after they are added to the stream.
|
Future<IncreaseStreamRetentionPeriodResult> |
increaseStreamRetentionPeriodAsync(IncreaseStreamRetentionPeriodRequest increaseStreamRetentionPeriodRequest,
AsyncHandler<IncreaseStreamRetentionPeriodRequest,IncreaseStreamRetentionPeriodResult> asyncHandler)
Increases the Amazon Kinesis stream's retention period, which is the length of time data records are accessible
after they are added to the stream.
|
Future<ListStreamsResult> |
listStreamsAsync()
Simplified method form for invoking the ListStreams operation.
|
Future<ListStreamsResult> |
listStreamsAsync(AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Simplified method form for invoking the ListStreams operation with an AsyncHandler.
|
Future<ListStreamsResult> |
listStreamsAsync(Integer limit,
String exclusiveStartStreamName)
Simplified method form for invoking the ListStreams operation.
|
Future<ListStreamsResult> |
listStreamsAsync(Integer limit,
String exclusiveStartStreamName,
AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Simplified method form for invoking the ListStreams operation with an AsyncHandler.
|
Future<ListStreamsResult> |
listStreamsAsync(ListStreamsRequest listStreamsRequest)
Lists your Amazon Kinesis streams.
|
Future<ListStreamsResult> |
listStreamsAsync(ListStreamsRequest listStreamsRequest,
AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Lists your Amazon Kinesis streams.
|
Future<ListStreamsResult> |
listStreamsAsync(String exclusiveStartStreamName)
Simplified method form for invoking the ListStreams operation.
|
Future<ListStreamsResult> |
listStreamsAsync(String exclusiveStartStreamName,
AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Simplified method form for invoking the ListStreams operation with an AsyncHandler.
|
Future<ListTagsForStreamResult> |
listTagsForStreamAsync(ListTagsForStreamRequest listTagsForStreamRequest)
Lists the tags for the specified Amazon Kinesis stream.
|
Future<ListTagsForStreamResult> |
listTagsForStreamAsync(ListTagsForStreamRequest listTagsForStreamRequest,
AsyncHandler<ListTagsForStreamRequest,ListTagsForStreamResult> asyncHandler)
Lists the tags for the specified Amazon Kinesis stream.
|
Future<MergeShardsResult> |
mergeShardsAsync(MergeShardsRequest mergeShardsRequest)
Merges two adjacent shards in an Amazon Kinesis stream and combines them into a single shard to reduce the
stream's capacity to ingest and transport data.
|
Future<MergeShardsResult> |
mergeShardsAsync(MergeShardsRequest mergeShardsRequest,
AsyncHandler<MergeShardsRequest,MergeShardsResult> asyncHandler)
Merges two adjacent shards in an Amazon Kinesis stream and combines them into a single shard to reduce the
stream's capacity to ingest and transport data.
|
Future<MergeShardsResult> |
mergeShardsAsync(String streamName,
String shardToMerge,
String adjacentShardToMerge)
Simplified method form for invoking the MergeShards operation.
|
Future<MergeShardsResult> |
mergeShardsAsync(String streamName,
String shardToMerge,
String adjacentShardToMerge,
AsyncHandler<MergeShardsRequest,MergeShardsResult> asyncHandler)
Simplified method form for invoking the MergeShards operation with an AsyncHandler.
|
Future<PutRecordResult> |
putRecordAsync(PutRecordRequest putRecordRequest)
Writes a single data record into an Amazon Kinesis stream.
|
Future<PutRecordResult> |
putRecordAsync(PutRecordRequest putRecordRequest,
AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
Writes a single data record into an Amazon Kinesis stream.
|
Future<PutRecordResult> |
putRecordAsync(String streamName,
ByteBuffer data,
String partitionKey)
Simplified method form for invoking the PutRecord operation.
|
Future<PutRecordResult> |
putRecordAsync(String streamName,
ByteBuffer data,
String partitionKey,
AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
Simplified method form for invoking the PutRecord operation with an AsyncHandler.
|
Future<PutRecordResult> |
putRecordAsync(String streamName,
ByteBuffer data,
String partitionKey,
String sequenceNumberForOrdering)
Simplified method form for invoking the PutRecord operation.
|
Future<PutRecordResult> |
putRecordAsync(String streamName,
ByteBuffer data,
String partitionKey,
String sequenceNumberForOrdering,
AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
Simplified method form for invoking the PutRecord operation with an AsyncHandler.
|
Future<PutRecordsResult> |
putRecordsAsync(PutRecordsRequest putRecordsRequest)
Writes multiple data records into an Amazon Kinesis stream in a single call (also referred to as a
PutRecords request). |
Future<PutRecordsResult> |
putRecordsAsync(PutRecordsRequest putRecordsRequest,
AsyncHandler<PutRecordsRequest,PutRecordsResult> asyncHandler)
Writes multiple data records into an Amazon Kinesis stream in a single call (also referred to as a
PutRecords request). |
Future<RemoveTagsFromStreamResult> |
removeTagsFromStreamAsync(RemoveTagsFromStreamRequest removeTagsFromStreamRequest)
Removes tags from the specified Amazon Kinesis stream.
|
Future<RemoveTagsFromStreamResult> |
removeTagsFromStreamAsync(RemoveTagsFromStreamRequest removeTagsFromStreamRequest,
AsyncHandler<RemoveTagsFromStreamRequest,RemoveTagsFromStreamResult> asyncHandler)
Removes tags from the specified Amazon Kinesis stream.
|
Future<SplitShardResult> |
splitShardAsync(SplitShardRequest splitShardRequest)
Splits a shard into two new shards in the Amazon Kinesis stream to increase the stream's capacity to ingest and
transport data.
|
Future<SplitShardResult> |
splitShardAsync(SplitShardRequest splitShardRequest,
AsyncHandler<SplitShardRequest,SplitShardResult> asyncHandler)
Splits a shard into two new shards in the Amazon Kinesis stream to increase the stream's capacity to ingest and
transport data.
|
Future<SplitShardResult> |
splitShardAsync(String streamName,
String shardToSplit,
String newStartingHashKey)
Simplified method form for invoking the SplitShard operation.
|
Future<SplitShardResult> |
splitShardAsync(String streamName,
String shardToSplit,
String newStartingHashKey,
AsyncHandler<SplitShardRequest,SplitShardResult> asyncHandler)
Simplified method form for invoking the SplitShard operation with an AsyncHandler.
|
Future<StartStreamEncryptionResult> |
startStreamEncryptionAsync(StartStreamEncryptionRequest startStreamEncryptionRequest)
Enables or updates server-side encryption using an AWS KMS key for a specified stream.
|
Future<StartStreamEncryptionResult> |
startStreamEncryptionAsync(StartStreamEncryptionRequest startStreamEncryptionRequest,
AsyncHandler<StartStreamEncryptionRequest,StartStreamEncryptionResult> asyncHandler)
Enables or updates server-side encryption using an AWS KMS key for a specified stream.
|
Future<StopStreamEncryptionResult> |
stopStreamEncryptionAsync(StopStreamEncryptionRequest stopStreamEncryptionRequest)
Disables server-side encryption for a specified stream.
|
Future<StopStreamEncryptionResult> |
stopStreamEncryptionAsync(StopStreamEncryptionRequest stopStreamEncryptionRequest,
AsyncHandler<StopStreamEncryptionRequest,StopStreamEncryptionResult> asyncHandler)
Disables server-side encryption for a specified stream.
|
Future<UpdateShardCountResult> |
updateShardCountAsync(UpdateShardCountRequest updateShardCountRequest)
Updates the shard count of the specified stream to the specified number of shards.
|
Future<UpdateShardCountResult> |
updateShardCountAsync(UpdateShardCountRequest updateShardCountRequest,
AsyncHandler<UpdateShardCountRequest,UpdateShardCountResult> asyncHandler)
Updates the shard count of the specified stream to the specified number of shards.
|
addTagsToStream, createStream, createStream, decreaseStreamRetentionPeriod, deleteStream, deleteStream, describeLimits, describeStream, describeStream, describeStream, describeStream, disableEnhancedMonitoring, enableEnhancedMonitoring, getCachedResponseMetadata, getRecords, getShardIterator, getShardIterator, getShardIterator, increaseStreamRetentionPeriod, listStreams, listStreams, listStreams, listStreams, listTagsForStream, mergeShards, mergeShards, putRecord, putRecord, putRecord, putRecords, removeTagsFromStream, setEndpoint, setRegion, shutdown, splitShard, splitShard, startStreamEncryption, stopStreamEncryption, updateShardCount, waitersFuture<AddTagsToStreamResult> addTagsToStreamAsync(AddTagsToStreamRequest addTagsToStreamRequest)
Adds or updates tags for the specified Amazon Kinesis stream. Each stream can have up to 10 tags.
If tags have already been assigned to the stream, AddTagsToStream overwrites any existing tags that
correspond to the specified tag keys.
addTagsToStreamRequest - Represents the input for AddTagsToStream.Future<AddTagsToStreamResult> addTagsToStreamAsync(AddTagsToStreamRequest addTagsToStreamRequest, AsyncHandler<AddTagsToStreamRequest,AddTagsToStreamResult> asyncHandler)
Adds or updates tags for the specified Amazon Kinesis stream. Each stream can have up to 10 tags.
If tags have already been assigned to the stream, AddTagsToStream overwrites any existing tags that
correspond to the specified tag keys.
addTagsToStreamRequest - Represents the input for AddTagsToStream.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<CreateStreamResult> createStreamAsync(CreateStreamRequest createStreamRequest)
Creates an Amazon Kinesis stream. A stream captures and transports data records that are continuously emitted from different data sources or producers. Scale-out within a stream is explicitly supported by means of shards, which are uniquely identified groups of data records in a stream.
You specify and control the number of shards that a stream is composed of. Each shard can support reads up to 5 transactions per second, up to a maximum data read total of 2 MB per second. Each shard can support writes up to 1,000 records per second, up to a maximum data write total of 1 MB per second. You can add shards to a stream if the amount of data input increases and you can remove shards if the amount of data input decreases.
The stream name identifies the stream. The name is scoped to the AWS account used by the application. It is also scoped by region. That is, two streams in two different accounts can have the same name, and two streams in the same account, but in two different regions, can have the same name.
CreateStream is an asynchronous operation. Upon receiving a CreateStream request,
Amazon Kinesis immediately returns and sets the stream status to CREATING. After the stream is
created, Amazon Kinesis sets the stream status to ACTIVE. You should perform read and write
operations only on an ACTIVE stream.
You receive a LimitExceededException when making a CreateStream request if you try to
do one of the following:
Have more than five streams in the CREATING state at any point in time.
Create more shards than are authorized for your account.
For the default shard limit for an AWS account, see Streams Limits in the Amazon Kinesis Streams Developer Guide. If you need to increase this limit, contact AWS Support.
You can use DescribeStream to check the stream status, which is returned in
StreamStatus.
CreateStream has a limit of 5 transactions per second per account.
createStreamRequest - Represents the input for CreateStream.Future<CreateStreamResult> createStreamAsync(CreateStreamRequest createStreamRequest, AsyncHandler<CreateStreamRequest,CreateStreamResult> asyncHandler)
Creates an Amazon Kinesis stream. A stream captures and transports data records that are continuously emitted from different data sources or producers. Scale-out within a stream is explicitly supported by means of shards, which are uniquely identified groups of data records in a stream.
You specify and control the number of shards that a stream is composed of. Each shard can support reads up to 5 transactions per second, up to a maximum data read total of 2 MB per second. Each shard can support writes up to 1,000 records per second, up to a maximum data write total of 1 MB per second. You can add shards to a stream if the amount of data input increases and you can remove shards if the amount of data input decreases.
The stream name identifies the stream. The name is scoped to the AWS account used by the application. It is also scoped by region. That is, two streams in two different accounts can have the same name, and two streams in the same account, but in two different regions, can have the same name.
CreateStream is an asynchronous operation. Upon receiving a CreateStream request,
Amazon Kinesis immediately returns and sets the stream status to CREATING. After the stream is
created, Amazon Kinesis sets the stream status to ACTIVE. You should perform read and write
operations only on an ACTIVE stream.
You receive a LimitExceededException when making a CreateStream request if you try to
do one of the following:
Have more than five streams in the CREATING state at any point in time.
Create more shards than are authorized for your account.
For the default shard limit for an AWS account, see Streams Limits in the Amazon Kinesis Streams Developer Guide. If you need to increase this limit, contact AWS Support.
You can use DescribeStream to check the stream status, which is returned in
StreamStatus.
CreateStream has a limit of 5 transactions per second per account.
createStreamRequest - Represents the input for CreateStream.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<CreateStreamResult> createStreamAsync(String streamName, Integer shardCount)
createStreamAsync(CreateStreamRequest)Future<CreateStreamResult> createStreamAsync(String streamName, Integer shardCount, AsyncHandler<CreateStreamRequest,CreateStreamResult> asyncHandler)
Future<DecreaseStreamRetentionPeriodResult> decreaseStreamRetentionPeriodAsync(DecreaseStreamRetentionPeriodRequest decreaseStreamRetentionPeriodRequest)
Decreases the Amazon Kinesis stream's retention period, which is the length of time data records are accessible after they are added to the stream. The minimum value of a stream's retention period is 24 hours.
This operation may result in lost data. For example, if the stream's retention period is 48 hours and is decreased to 24 hours, any data already in the stream that is older than 24 hours is inaccessible.
decreaseStreamRetentionPeriodRequest - Represents the input for DecreaseStreamRetentionPeriod.Future<DecreaseStreamRetentionPeriodResult> decreaseStreamRetentionPeriodAsync(DecreaseStreamRetentionPeriodRequest decreaseStreamRetentionPeriodRequest, AsyncHandler<DecreaseStreamRetentionPeriodRequest,DecreaseStreamRetentionPeriodResult> asyncHandler)
Decreases the Amazon Kinesis stream's retention period, which is the length of time data records are accessible after they are added to the stream. The minimum value of a stream's retention period is 24 hours.
This operation may result in lost data. For example, if the stream's retention period is 48 hours and is decreased to 24 hours, any data already in the stream that is older than 24 hours is inaccessible.
decreaseStreamRetentionPeriodRequest - Represents the input for DecreaseStreamRetentionPeriod.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DeleteStreamResult> deleteStreamAsync(DeleteStreamRequest deleteStreamRequest)
Deletes an Amazon Kinesis stream and all its shards and data. You must shut down any applications that are
operating on the stream before you delete the stream. If an application attempts to operate on a deleted stream,
it will receive the exception ResourceNotFoundException.
If the stream is in the ACTIVE state, you can delete it. After a DeleteStream request,
the specified stream is in the DELETING state until Amazon Kinesis completes the deletion.
Note: Amazon Kinesis might continue to accept data read and write operations, such as PutRecord,
PutRecords, and GetRecords, on a stream in the DELETING state until the stream
deletion is complete.
When you delete a stream, any shards in that stream are also deleted, and any tags are dissociated from the stream.
You can use the DescribeStream operation to check the state of the stream, which is returned in
StreamStatus.
DeleteStream has a limit of 5 transactions per second per account.
deleteStreamRequest - Represents the input for DeleteStream.Future<DeleteStreamResult> deleteStreamAsync(DeleteStreamRequest deleteStreamRequest, AsyncHandler<DeleteStreamRequest,DeleteStreamResult> asyncHandler)
Deletes an Amazon Kinesis stream and all its shards and data. You must shut down any applications that are
operating on the stream before you delete the stream. If an application attempts to operate on a deleted stream,
it will receive the exception ResourceNotFoundException.
If the stream is in the ACTIVE state, you can delete it. After a DeleteStream request,
the specified stream is in the DELETING state until Amazon Kinesis completes the deletion.
Note: Amazon Kinesis might continue to accept data read and write operations, such as PutRecord,
PutRecords, and GetRecords, on a stream in the DELETING state until the stream
deletion is complete.
When you delete a stream, any shards in that stream are also deleted, and any tags are dissociated from the stream.
You can use the DescribeStream operation to check the state of the stream, which is returned in
StreamStatus.
DeleteStream has a limit of 5 transactions per second per account.
deleteStreamRequest - Represents the input for DeleteStream.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DeleteStreamResult> deleteStreamAsync(String streamName)
deleteStreamAsync(DeleteStreamRequest)Future<DeleteStreamResult> deleteStreamAsync(String streamName, AsyncHandler<DeleteStreamRequest,DeleteStreamResult> asyncHandler)
Future<DescribeLimitsResult> describeLimitsAsync(DescribeLimitsRequest describeLimitsRequest)
Describes the shard limits and usage for the account.
If you update your account limits, the old limits might be returned for a few minutes.
This operation has a limit of 1 transaction per second per account.
describeLimitsRequest - Future<DescribeLimitsResult> describeLimitsAsync(DescribeLimitsRequest describeLimitsRequest, AsyncHandler<DescribeLimitsRequest,DescribeLimitsResult> asyncHandler)
Describes the shard limits and usage for the account.
If you update your account limits, the old limits might be returned for a few minutes.
This operation has a limit of 1 transaction per second per account.
describeLimitsRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DescribeStreamResult> describeStreamAsync(DescribeStreamRequest describeStreamRequest)
Describes the specified Amazon Kinesis stream.
The information returned includes the stream name, Amazon Resource Name (ARN), creation time, enhanced metric configuration, and shard map. The shard map is an array of shard objects. For each shard object, there is the hash key and sequence number ranges that the shard spans, and the IDs of any earlier shards that played in a role in creating the shard. Every record ingested in the stream is identified by a sequence number, which is assigned when the record is put into the stream.
You can limit the number of shards returned by each call. For more information, see Retrieving Shards from a Stream in the Amazon Kinesis Streams Developer Guide.
There are no guarantees about the chronological order shards returned. To process shards in chronological order, use the ID of the parent shard to track the lineage to the oldest shard.
This operation has a limit of 10 transactions per second per account.
describeStreamRequest - Represents the input for DescribeStream.Future<DescribeStreamResult> describeStreamAsync(DescribeStreamRequest describeStreamRequest, AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Describes the specified Amazon Kinesis stream.
The information returned includes the stream name, Amazon Resource Name (ARN), creation time, enhanced metric configuration, and shard map. The shard map is an array of shard objects. For each shard object, there is the hash key and sequence number ranges that the shard spans, and the IDs of any earlier shards that played in a role in creating the shard. Every record ingested in the stream is identified by a sequence number, which is assigned when the record is put into the stream.
You can limit the number of shards returned by each call. For more information, see Retrieving Shards from a Stream in the Amazon Kinesis Streams Developer Guide.
There are no guarantees about the chronological order shards returned. To process shards in chronological order, use the ID of the parent shard to track the lineage to the oldest shard.
This operation has a limit of 10 transactions per second per account.
describeStreamRequest - Represents the input for DescribeStream.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DescribeStreamResult> describeStreamAsync(String streamName)
Future<DescribeStreamResult> describeStreamAsync(String streamName, AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Future<DescribeStreamResult> describeStreamAsync(String streamName, String exclusiveStartShardId)
Future<DescribeStreamResult> describeStreamAsync(String streamName, String exclusiveStartShardId, AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Future<DescribeStreamResult> describeStreamAsync(String streamName, Integer limit, String exclusiveStartShardId)
Future<DescribeStreamResult> describeStreamAsync(String streamName, Integer limit, String exclusiveStartShardId, AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Future<DisableEnhancedMonitoringResult> disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest disableEnhancedMonitoringRequest)
Disables enhanced monitoring.
disableEnhancedMonitoringRequest - Represents the input for DisableEnhancedMonitoring.Future<DisableEnhancedMonitoringResult> disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest disableEnhancedMonitoringRequest, AsyncHandler<DisableEnhancedMonitoringRequest,DisableEnhancedMonitoringResult> asyncHandler)
Disables enhanced monitoring.
disableEnhancedMonitoringRequest - Represents the input for DisableEnhancedMonitoring.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<EnableEnhancedMonitoringResult> enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest enableEnhancedMonitoringRequest)
Enables enhanced Amazon Kinesis stream monitoring for shard-level metrics.
enableEnhancedMonitoringRequest - Represents the input for EnableEnhancedMonitoring.Future<EnableEnhancedMonitoringResult> enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest enableEnhancedMonitoringRequest, AsyncHandler<EnableEnhancedMonitoringRequest,EnableEnhancedMonitoringResult> asyncHandler)
Enables enhanced Amazon Kinesis stream monitoring for shard-level metrics.
enableEnhancedMonitoringRequest - Represents the input for EnableEnhancedMonitoring.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<GetRecordsResult> getRecordsAsync(GetRecordsRequest getRecordsRequest)
Gets data records from an Amazon Kinesis stream's shard.
Specify a shard iterator using the ShardIterator parameter. The shard iterator specifies the
position in the shard from which you want to start reading data records sequentially. If there are no records
available in the portion of the shard that the iterator points to, GetRecords returns an empty list. Note
that it might take multiple calls to get to a portion of the shard that contains records.
You can scale by provisioning multiple shards per stream while considering service limits (for more information,
see Streams Limits in
the Amazon Kinesis Streams Developer Guide). Your application should have one thread per shard, each
reading continuously from its stream. To read from a stream continually, call GetRecords in a loop. Use
GetShardIterator to get the shard iterator to specify in the first GetRecords call.
GetRecords returns a new shard iterator in NextShardIterator. Specify the shard iterator
returned in NextShardIterator in subsequent calls to GetRecords. Note that if the shard has
been closed, the shard iterator can't return more data and GetRecords returns null in
NextShardIterator. You can terminate the loop when the shard is closed, or when the shard iterator
reaches the record with the sequence number or other attribute that marks it as the last record to process.
Each data record can be up to 1 MB in size, and each shard can read up to 2 MB per second. You can ensure that
your calls don't exceed the maximum supported size or throughput by using the Limit parameter to
specify the maximum number of records that GetRecords can return. Consider your average record size when
determining this limit.
The size of the data returned by GetRecords varies depending on the utilization of the shard. The maximum
size of data that GetRecords can return is 10 MB. If a call returns this amount of data, subsequent calls
made within the next 5 seconds throw ProvisionedThroughputExceededException. If there is
insufficient provisioned throughput on the shard, subsequent calls made within the next 1 second throw
ProvisionedThroughputExceededException. Note that GetRecords won't return any data when it
throws an exception. For this reason, we recommend that you wait one second between calls to GetRecords;
however, it's possible that the application will get exceptions for longer than 1 second.
To detect whether the application is falling behind in processing, you can use the
MillisBehindLatest response attribute. You can also monitor the stream using CloudWatch metrics and
other mechanisms (see Monitoring in
the Amazon Kinesis Streams Developer Guide).
Each Amazon Kinesis record includes a value, ApproximateArrivalTimestamp, that is set when a stream
successfully receives and stores a record. This is commonly referred to as a server-side timestamp, whereas a
client-side timestamp is set when a data producer creates or sends the record to a stream (a data producer is any
data source putting data records into a stream, for example with PutRecords). The timestamp has
millisecond precision. There are no guarantees about the timestamp accuracy, or that the timestamp is always
increasing. For example, records in a shard or across a stream might have timestamps that are out of order.
getRecordsRequest - Represents the input for GetRecords.Future<GetRecordsResult> getRecordsAsync(GetRecordsRequest getRecordsRequest, AsyncHandler<GetRecordsRequest,GetRecordsResult> asyncHandler)
Gets data records from an Amazon Kinesis stream's shard.
Specify a shard iterator using the ShardIterator parameter. The shard iterator specifies the
position in the shard from which you want to start reading data records sequentially. If there are no records
available in the portion of the shard that the iterator points to, GetRecords returns an empty list. Note
that it might take multiple calls to get to a portion of the shard that contains records.
You can scale by provisioning multiple shards per stream while considering service limits (for more information,
see Streams Limits in
the Amazon Kinesis Streams Developer Guide). Your application should have one thread per shard, each
reading continuously from its stream. To read from a stream continually, call GetRecords in a loop. Use
GetShardIterator to get the shard iterator to specify in the first GetRecords call.
GetRecords returns a new shard iterator in NextShardIterator. Specify the shard iterator
returned in NextShardIterator in subsequent calls to GetRecords. Note that if the shard has
been closed, the shard iterator can't return more data and GetRecords returns null in
NextShardIterator. You can terminate the loop when the shard is closed, or when the shard iterator
reaches the record with the sequence number or other attribute that marks it as the last record to process.
Each data record can be up to 1 MB in size, and each shard can read up to 2 MB per second. You can ensure that
your calls don't exceed the maximum supported size or throughput by using the Limit parameter to
specify the maximum number of records that GetRecords can return. Consider your average record size when
determining this limit.
The size of the data returned by GetRecords varies depending on the utilization of the shard. The maximum
size of data that GetRecords can return is 10 MB. If a call returns this amount of data, subsequent calls
made within the next 5 seconds throw ProvisionedThroughputExceededException. If there is
insufficient provisioned throughput on the shard, subsequent calls made within the next 1 second throw
ProvisionedThroughputExceededException. Note that GetRecords won't return any data when it
throws an exception. For this reason, we recommend that you wait one second between calls to GetRecords;
however, it's possible that the application will get exceptions for longer than 1 second.
To detect whether the application is falling behind in processing, you can use the
MillisBehindLatest response attribute. You can also monitor the stream using CloudWatch metrics and
other mechanisms (see Monitoring in
the Amazon Kinesis Streams Developer Guide).
Each Amazon Kinesis record includes a value, ApproximateArrivalTimestamp, that is set when a stream
successfully receives and stores a record. This is commonly referred to as a server-side timestamp, whereas a
client-side timestamp is set when a data producer creates or sends the record to a stream (a data producer is any
data source putting data records into a stream, for example with PutRecords). The timestamp has
millisecond precision. There are no guarantees about the timestamp accuracy, or that the timestamp is always
increasing. For example, records in a shard or across a stream might have timestamps that are out of order.
getRecordsRequest - Represents the input for GetRecords.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<GetShardIteratorResult> getShardIteratorAsync(GetShardIteratorRequest getShardIteratorRequest)
Gets an Amazon Kinesis shard iterator. A shard iterator expires five minutes after it is returned to the requester.
A shard iterator specifies the shard position from which to start reading data records sequentially. The position is specified using the sequence number of a data record in a shard. A sequence number is the identifier associated with every record ingested in the stream, and is assigned when a record is put into the stream. Each stream has one or more shards.
You must specify the shard iterator type. For example, you can set the ShardIteratorType parameter
to read exactly from the position denoted by a specific sequence number by using the
AT_SEQUENCE_NUMBER shard iterator type, or right after the sequence number by using the
AFTER_SEQUENCE_NUMBER shard iterator type, using sequence numbers returned by earlier calls to
PutRecord, PutRecords, GetRecords, or DescribeStream. In the request, you can specify
the shard iterator type AT_TIMESTAMP to read records from an arbitrary point in time,
TRIM_HORIZON to cause ShardIterator to point to the last untrimmed record in the shard
in the system (the oldest data record in the shard), or LATEST so that you always read the most
recent data in the shard.
When you read repeatedly from a stream, use a GetShardIterator request to get the first shard iterator for
use in your first GetRecords request and for subsequent reads use the shard iterator returned by the
GetRecords request in NextShardIterator. A new shard iterator is returned by every
GetRecords request in NextShardIterator, which you use in the ShardIterator
parameter of the next GetRecords request.
If a GetShardIterator request is made too often, you receive a
ProvisionedThroughputExceededException. For more information about throughput limits, see
GetRecords, and Streams Limits in the
Amazon Kinesis Streams Developer Guide.
If the shard is closed, GetShardIterator returns a valid iterator for the last sequence number of the shard. Note that a shard can be closed as a result of using SplitShard or MergeShards.
GetShardIterator has a limit of 5 transactions per second per account per open shard.
getShardIteratorRequest - Represents the input for GetShardIterator.Future<GetShardIteratorResult> getShardIteratorAsync(GetShardIteratorRequest getShardIteratorRequest, AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
Gets an Amazon Kinesis shard iterator. A shard iterator expires five minutes after it is returned to the requester.
A shard iterator specifies the shard position from which to start reading data records sequentially. The position is specified using the sequence number of a data record in a shard. A sequence number is the identifier associated with every record ingested in the stream, and is assigned when a record is put into the stream. Each stream has one or more shards.
You must specify the shard iterator type. For example, you can set the ShardIteratorType parameter
to read exactly from the position denoted by a specific sequence number by using the
AT_SEQUENCE_NUMBER shard iterator type, or right after the sequence number by using the
AFTER_SEQUENCE_NUMBER shard iterator type, using sequence numbers returned by earlier calls to
PutRecord, PutRecords, GetRecords, or DescribeStream. In the request, you can specify
the shard iterator type AT_TIMESTAMP to read records from an arbitrary point in time,
TRIM_HORIZON to cause ShardIterator to point to the last untrimmed record in the shard
in the system (the oldest data record in the shard), or LATEST so that you always read the most
recent data in the shard.
When you read repeatedly from a stream, use a GetShardIterator request to get the first shard iterator for
use in your first GetRecords request and for subsequent reads use the shard iterator returned by the
GetRecords request in NextShardIterator. A new shard iterator is returned by every
GetRecords request in NextShardIterator, which you use in the ShardIterator
parameter of the next GetRecords request.
If a GetShardIterator request is made too often, you receive a
ProvisionedThroughputExceededException. For more information about throughput limits, see
GetRecords, and Streams Limits in the
Amazon Kinesis Streams Developer Guide.
If the shard is closed, GetShardIterator returns a valid iterator for the last sequence number of the shard. Note that a shard can be closed as a result of using SplitShard or MergeShards.
GetShardIterator has a limit of 5 transactions per second per account per open shard.
getShardIteratorRequest - Represents the input for GetShardIterator.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType)
Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType, AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType, String startingSequenceNumber)
Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType, String startingSequenceNumber, AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
Future<IncreaseStreamRetentionPeriodResult> increaseStreamRetentionPeriodAsync(IncreaseStreamRetentionPeriodRequest increaseStreamRetentionPeriodRequest)
Increases the Amazon Kinesis stream's retention period, which is the length of time data records are accessible after they are added to the stream. The maximum value of a stream's retention period is 168 hours (7 days).
Upon choosing a longer stream retention period, this operation will increase the time period records are accessible that have not yet expired. However, it will not make previous data that has expired (older than the stream's previous retention period) accessible after the operation has been called. For example, if a stream's retention period is set to 24 hours and is increased to 168 hours, any data that is older than 24 hours will remain inaccessible to consumer applications.
increaseStreamRetentionPeriodRequest - Represents the input for IncreaseStreamRetentionPeriod.Future<IncreaseStreamRetentionPeriodResult> increaseStreamRetentionPeriodAsync(IncreaseStreamRetentionPeriodRequest increaseStreamRetentionPeriodRequest, AsyncHandler<IncreaseStreamRetentionPeriodRequest,IncreaseStreamRetentionPeriodResult> asyncHandler)
Increases the Amazon Kinesis stream's retention period, which is the length of time data records are accessible after they are added to the stream. The maximum value of a stream's retention period is 168 hours (7 days).
Upon choosing a longer stream retention period, this operation will increase the time period records are accessible that have not yet expired. However, it will not make previous data that has expired (older than the stream's previous retention period) accessible after the operation has been called. For example, if a stream's retention period is set to 24 hours and is increased to 168 hours, any data that is older than 24 hours will remain inaccessible to consumer applications.
increaseStreamRetentionPeriodRequest - Represents the input for IncreaseStreamRetentionPeriod.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<ListStreamsResult> listStreamsAsync(ListStreamsRequest listStreamsRequest)
Lists your Amazon Kinesis streams.
The number of streams may be too large to return from a single call to ListStreams. You can limit
the number of returned streams using the Limit parameter. If you do not specify a value for the
Limit parameter, Amazon Kinesis uses the default limit, which is currently 10.
You can detect if there are more streams available to list by using the HasMoreStreams flag from the
returned output. If there are more streams available, you can request more streams by using the name of the last
stream returned by the ListStreams request in the ExclusiveStartStreamName parameter in
a subsequent request to ListStreams. The group of stream names returned by the subsequent request is
then added to the list. You can continue this process until all the stream names have been collected in the list.
ListStreams has a limit of 5 transactions per second per account.
listStreamsRequest - Represents the input for ListStreams.Future<ListStreamsResult> listStreamsAsync(ListStreamsRequest listStreamsRequest, AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Lists your Amazon Kinesis streams.
The number of streams may be too large to return from a single call to ListStreams. You can limit
the number of returned streams using the Limit parameter. If you do not specify a value for the
Limit parameter, Amazon Kinesis uses the default limit, which is currently 10.
You can detect if there are more streams available to list by using the HasMoreStreams flag from the
returned output. If there are more streams available, you can request more streams by using the name of the last
stream returned by the ListStreams request in the ExclusiveStartStreamName parameter in
a subsequent request to ListStreams. The group of stream names returned by the subsequent request is
then added to the list. You can continue this process until all the stream names have been collected in the list.
ListStreams has a limit of 5 transactions per second per account.
listStreamsRequest - Represents the input for ListStreams.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<ListStreamsResult> listStreamsAsync()
listStreamsAsync(ListStreamsRequest)Future<ListStreamsResult> listStreamsAsync(AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Future<ListStreamsResult> listStreamsAsync(String exclusiveStartStreamName)
listStreamsAsync(ListStreamsRequest)Future<ListStreamsResult> listStreamsAsync(String exclusiveStartStreamName, AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Future<ListStreamsResult> listStreamsAsync(Integer limit, String exclusiveStartStreamName)
listStreamsAsync(ListStreamsRequest)Future<ListStreamsResult> listStreamsAsync(Integer limit, String exclusiveStartStreamName, AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Future<ListTagsForStreamResult> listTagsForStreamAsync(ListTagsForStreamRequest listTagsForStreamRequest)
Lists the tags for the specified Amazon Kinesis stream.
listTagsForStreamRequest - Represents the input for ListTagsForStream.Future<ListTagsForStreamResult> listTagsForStreamAsync(ListTagsForStreamRequest listTagsForStreamRequest, AsyncHandler<ListTagsForStreamRequest,ListTagsForStreamResult> asyncHandler)
Lists the tags for the specified Amazon Kinesis stream.
listTagsForStreamRequest - Represents the input for ListTagsForStream.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<MergeShardsResult> mergeShardsAsync(MergeShardsRequest mergeShardsRequest)
Merges two adjacent shards in an Amazon Kinesis stream and combines them into a single shard to reduce the stream's capacity to ingest and transport data. Two shards are considered adjacent if the union of the hash key ranges for the two shards form a contiguous set with no gaps. For example, if you have two shards, one with a hash key range of 276...381 and the other with a hash key range of 382...454, then you could merge these two shards into a single shard that would have a hash key range of 276...454. After the merge, the single child shard receives data for all hash key values covered by the two parent shards.
MergeShards is called when there is a need to reduce the overall capacity of a stream because of
excess capacity that is not being used. You must specify the shard to be merged and the adjacent shard for a
stream. For more information about merging shards, see Merge Two
Shards in the Amazon Kinesis Streams Developer Guide.
If the stream is in the ACTIVE state, you can call MergeShards. If a stream is in the
CREATING, UPDATING, or DELETING state, MergeShards returns a
ResourceInUseException. If the specified stream does not exist, MergeShards returns a
ResourceNotFoundException.
You can use DescribeStream to check the state of the stream, which is returned in
StreamStatus.
MergeShards is an asynchronous operation. Upon receiving a MergeShards request, Amazon
Kinesis immediately returns a response and sets the StreamStatus to UPDATING. After the
operation is completed, Amazon Kinesis sets the StreamStatus to ACTIVE. Read and write
operations continue to work while the stream is in the UPDATING state.
You use DescribeStream to determine the shard IDs that are specified in the MergeShards
request.
If you try to operate on too many streams in parallel using CreateStream, DeleteStream,
MergeShards or SplitShard, you will receive a LimitExceededException.
MergeShards has limit of 5 transactions per second per account.
mergeShardsRequest - Represents the input for MergeShards.Future<MergeShardsResult> mergeShardsAsync(MergeShardsRequest mergeShardsRequest, AsyncHandler<MergeShardsRequest,MergeShardsResult> asyncHandler)
Merges two adjacent shards in an Amazon Kinesis stream and combines them into a single shard to reduce the stream's capacity to ingest and transport data. Two shards are considered adjacent if the union of the hash key ranges for the two shards form a contiguous set with no gaps. For example, if you have two shards, one with a hash key range of 276...381 and the other with a hash key range of 382...454, then you could merge these two shards into a single shard that would have a hash key range of 276...454. After the merge, the single child shard receives data for all hash key values covered by the two parent shards.
MergeShards is called when there is a need to reduce the overall capacity of a stream because of
excess capacity that is not being used. You must specify the shard to be merged and the adjacent shard for a
stream. For more information about merging shards, see Merge Two
Shards in the Amazon Kinesis Streams Developer Guide.
If the stream is in the ACTIVE state, you can call MergeShards. If a stream is in the
CREATING, UPDATING, or DELETING state, MergeShards returns a
ResourceInUseException. If the specified stream does not exist, MergeShards returns a
ResourceNotFoundException.
You can use DescribeStream to check the state of the stream, which is returned in
StreamStatus.
MergeShards is an asynchronous operation. Upon receiving a MergeShards request, Amazon
Kinesis immediately returns a response and sets the StreamStatus to UPDATING. After the
operation is completed, Amazon Kinesis sets the StreamStatus to ACTIVE. Read and write
operations continue to work while the stream is in the UPDATING state.
You use DescribeStream to determine the shard IDs that are specified in the MergeShards
request.
If you try to operate on too many streams in parallel using CreateStream, DeleteStream,
MergeShards or SplitShard, you will receive a LimitExceededException.
MergeShards has limit of 5 transactions per second per account.
mergeShardsRequest - Represents the input for MergeShards.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<MergeShardsResult> mergeShardsAsync(String streamName, String shardToMerge, String adjacentShardToMerge)
mergeShardsAsync(MergeShardsRequest)Future<MergeShardsResult> mergeShardsAsync(String streamName, String shardToMerge, String adjacentShardToMerge, AsyncHandler<MergeShardsRequest,MergeShardsResult> asyncHandler)
Future<PutRecordResult> putRecordAsync(PutRecordRequest putRecordRequest)
Writes a single data record into an Amazon Kinesis stream. Call PutRecord to send data into the
stream for real-time ingestion and subsequent processing, one record at a time. Each shard can support writes up
to 1,000 records per second, up to a maximum data write total of 1 MB per second.
You must specify the name of the stream that captures, stores, and transports the data; a partition key; and the data blob itself.
The data blob can be any type of data; for example, a segment from a log file, geographic/location data, website clickstream data, and so on.
The partition key is used by Amazon Kinesis to distribute data across shards. Amazon Kinesis segregates the data records that belong to a stream into multiple shards, using the partition key associated with each data record to determine which shard a given data record belongs to.
Partition keys are Unicode strings, with a maximum length limit of 256 characters for each key. An MD5 hash
function is used to map partition keys to 128-bit integer values and to map associated data records to shards
using the hash key ranges of the shards. You can override hashing the partition key to determine the shard by
explicitly specifying a hash value using the ExplicitHashKey parameter. For more information, see Adding Data to a Stream in the Amazon Kinesis Streams Developer Guide.
PutRecord returns the shard ID of where the data record was placed and the sequence number that was
assigned to the data record.
Sequence numbers increase over time and are specific to a shard within a stream, not across all shards within a
stream. To guarantee strictly increasing ordering, write serially to a shard and use the
SequenceNumberForOrdering parameter. For more information, see Adding Data to a Stream in the Amazon Kinesis Streams Developer Guide.
If a PutRecord request cannot be processed because of insufficient provisioned throughput on the
shard involved in the request, PutRecord throws ProvisionedThroughputExceededException.
By default, data records are accessible for 24 hours from the time that they are added to a stream. You can use IncreaseStreamRetentionPeriod or DecreaseStreamRetentionPeriod to modify this retention period.
putRecordRequest - Represents the input for PutRecord.Future<PutRecordResult> putRecordAsync(PutRecordRequest putRecordRequest, AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
Writes a single data record into an Amazon Kinesis stream. Call PutRecord to send data into the
stream for real-time ingestion and subsequent processing, one record at a time. Each shard can support writes up
to 1,000 records per second, up to a maximum data write total of 1 MB per second.
You must specify the name of the stream that captures, stores, and transports the data; a partition key; and the data blob itself.
The data blob can be any type of data; for example, a segment from a log file, geographic/location data, website clickstream data, and so on.
The partition key is used by Amazon Kinesis to distribute data across shards. Amazon Kinesis segregates the data records that belong to a stream into multiple shards, using the partition key associated with each data record to determine which shard a given data record belongs to.
Partition keys are Unicode strings, with a maximum length limit of 256 characters for each key. An MD5 hash
function is used to map partition keys to 128-bit integer values and to map associated data records to shards
using the hash key ranges of the shards. You can override hashing the partition key to determine the shard by
explicitly specifying a hash value using the ExplicitHashKey parameter. For more information, see Adding Data to a Stream in the Amazon Kinesis Streams Developer Guide.
PutRecord returns the shard ID of where the data record was placed and the sequence number that was
assigned to the data record.
Sequence numbers increase over time and are specific to a shard within a stream, not across all shards within a
stream. To guarantee strictly increasing ordering, write serially to a shard and use the
SequenceNumberForOrdering parameter. For more information, see Adding Data to a Stream in the Amazon Kinesis Streams Developer Guide.
If a PutRecord request cannot be processed because of insufficient provisioned throughput on the
shard involved in the request, PutRecord throws ProvisionedThroughputExceededException.
By default, data records are accessible for 24 hours from the time that they are added to a stream. You can use IncreaseStreamRetentionPeriod or DecreaseStreamRetentionPeriod to modify this retention period.
putRecordRequest - Represents the input for PutRecord.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey)
putRecordAsync(PutRecordRequest)Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey, AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey, String sequenceNumberForOrdering)
putRecordAsync(PutRecordRequest)Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey, String sequenceNumberForOrdering, AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
Future<PutRecordsResult> putRecordsAsync(PutRecordsRequest putRecordsRequest)
Writes multiple data records into an Amazon Kinesis stream in a single call (also referred to as a
PutRecords request). Use this operation to send data into the stream for data ingestion and
processing.
Each PutRecords request can support up to 500 records. Each record in the request can be as large as
1 MB, up to a limit of 5 MB for the entire request, including partition keys. Each shard can support writes up to
1,000 records per second, up to a maximum data write total of 1 MB per second.
You must specify the name of the stream that captures, stores, and transports the data; and an array of request
Records, with each record in the array requiring a partition key and data blob. The record size
limit applies to the total size of the partition key and data blob.
The data blob can be any type of data; for example, a segment from a log file, geographic/location data, website clickstream data, and so on.
The partition key is used by Amazon Kinesis as input to a hash function that maps the partition key and associated data to a specific shard. An MD5 hash function is used to map partition keys to 128-bit integer values and to map associated data records to shards. As a result of this hashing mechanism, all data records with the same partition key map to the same shard within the stream. For more information, see Adding Data to a Stream in the Amazon Kinesis Streams Developer Guide.
Each record in the Records array may include an optional parameter, ExplicitHashKey,
which overrides the partition key to shard mapping. This parameter allows a data producer to determine explicitly
the shard where the record is stored. For more information, see Adding Multiple Records with PutRecords in the Amazon Kinesis Streams Developer Guide.
The PutRecords response includes an array of response Records. Each record in the
response array directly correlates with a record in the request array using natural ordering, from the top to the
bottom of the request and response. The response Records array always includes the same number of
records as the request array.
The response Records array includes both successfully and unsuccessfully processed records. Amazon
Kinesis attempts to process all records in each PutRecords request. A single record failure does not
stop the processing of subsequent records.
A successfully-processed record includes ShardId and SequenceNumber values. The
ShardId parameter identifies the shard in the stream where the record is stored. The
SequenceNumber parameter is an identifier assigned to the put record, unique to all records in the
stream.
An unsuccessfully-processed record includes ErrorCode and ErrorMessage values.
ErrorCode reflects the type of error and can be one of the following values:
ProvisionedThroughputExceededException or InternalFailure. ErrorMessage
provides more detailed information about the ProvisionedThroughputExceededException exception
including the account ID, stream name, and shard ID of the record that was throttled. For more information about
partially successful responses, see Adding Multiple Records with PutRecords in the Amazon Kinesis Streams Developer Guide.
By default, data records are accessible for 24 hours from the time that they are added to a stream. You can use IncreaseStreamRetentionPeriod or DecreaseStreamRetentionPeriod to modify this retention period.
putRecordsRequest - A PutRecords request.Future<PutRecordsResult> putRecordsAsync(PutRecordsRequest putRecordsRequest, AsyncHandler<PutRecordsRequest,PutRecordsResult> asyncHandler)
Writes multiple data records into an Amazon Kinesis stream in a single call (also referred to as a
PutRecords request). Use this operation to send data into the stream for data ingestion and
processing.
Each PutRecords request can support up to 500 records. Each record in the request can be as large as
1 MB, up to a limit of 5 MB for the entire request, including partition keys. Each shard can support writes up to
1,000 records per second, up to a maximum data write total of 1 MB per second.
You must specify the name of the stream that captures, stores, and transports the data; and an array of request
Records, with each record in the array requiring a partition key and data blob. The record size
limit applies to the total size of the partition key and data blob.
The data blob can be any type of data; for example, a segment from a log file, geographic/location data, website clickstream data, and so on.
The partition key is used by Amazon Kinesis as input to a hash function that maps the partition key and associated data to a specific shard. An MD5 hash function is used to map partition keys to 128-bit integer values and to map associated data records to shards. As a result of this hashing mechanism, all data records with the same partition key map to the same shard within the stream. For more information, see Adding Data to a Stream in the Amazon Kinesis Streams Developer Guide.
Each record in the Records array may include an optional parameter, ExplicitHashKey,
which overrides the partition key to shard mapping. This parameter allows a data producer to determine explicitly
the shard where the record is stored. For more information, see Adding Multiple Records with PutRecords in the Amazon Kinesis Streams Developer Guide.
The PutRecords response includes an array of response Records. Each record in the
response array directly correlates with a record in the request array using natural ordering, from the top to the
bottom of the request and response. The response Records array always includes the same number of
records as the request array.
The response Records array includes both successfully and unsuccessfully processed records. Amazon
Kinesis attempts to process all records in each PutRecords request. A single record failure does not
stop the processing of subsequent records.
A successfully-processed record includes ShardId and SequenceNumber values. The
ShardId parameter identifies the shard in the stream where the record is stored. The
SequenceNumber parameter is an identifier assigned to the put record, unique to all records in the
stream.
An unsuccessfully-processed record includes ErrorCode and ErrorMessage values.
ErrorCode reflects the type of error and can be one of the following values:
ProvisionedThroughputExceededException or InternalFailure. ErrorMessage
provides more detailed information about the ProvisionedThroughputExceededException exception
including the account ID, stream name, and shard ID of the record that was throttled. For more information about
partially successful responses, see Adding Multiple Records with PutRecords in the Amazon Kinesis Streams Developer Guide.
By default, data records are accessible for 24 hours from the time that they are added to a stream. You can use IncreaseStreamRetentionPeriod or DecreaseStreamRetentionPeriod to modify this retention period.
putRecordsRequest - A PutRecords request.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<RemoveTagsFromStreamResult> removeTagsFromStreamAsync(RemoveTagsFromStreamRequest removeTagsFromStreamRequest)
Removes tags from the specified Amazon Kinesis stream. Removed tags are deleted and cannot be recovered after this operation successfully completes.
If you specify a tag that does not exist, it is ignored.
removeTagsFromStreamRequest - Represents the input for RemoveTagsFromStream.Future<RemoveTagsFromStreamResult> removeTagsFromStreamAsync(RemoveTagsFromStreamRequest removeTagsFromStreamRequest, AsyncHandler<RemoveTagsFromStreamRequest,RemoveTagsFromStreamResult> asyncHandler)
Removes tags from the specified Amazon Kinesis stream. Removed tags are deleted and cannot be recovered after this operation successfully completes.
If you specify a tag that does not exist, it is ignored.
removeTagsFromStreamRequest - Represents the input for RemoveTagsFromStream.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<SplitShardResult> splitShardAsync(SplitShardRequest splitShardRequest)
Splits a shard into two new shards in the Amazon Kinesis stream to increase the stream's capacity to ingest and
transport data. SplitShard is called when there is a need to increase the overall capacity of a
stream because of an expected increase in the volume of data records being ingested.
You can also use SplitShard when a shard appears to be approaching its maximum utilization; for
example, the producers sending data into the specific shard are suddenly sending more than previously
anticipated. You can also call SplitShard to increase stream capacity, so that more Amazon Kinesis
applications can simultaneously read data from the stream for real-time processing.
You must specify the shard to be split and the new hash key, which is the position in the shard where the shard gets split in two. In many cases, the new hash key might simply be the average of the beginning and ending hash key, but it can be any hash key value in the range being mapped into the shard. For more information about splitting shards, see Split a Shard in the Amazon Kinesis Streams Developer Guide.
You can use DescribeStream to determine the shard ID and hash key values for the ShardToSplit
and NewStartingHashKey parameters that are specified in the SplitShard request.
SplitShard is an asynchronous operation. Upon receiving a SplitShard request, Amazon
Kinesis immediately returns a response and sets the stream status to UPDATING. After the operation
is completed, Amazon Kinesis sets the stream status to ACTIVE. Read and write operations continue to
work while the stream is in the UPDATING state.
You can use DescribeStream to check the status of the stream, which is returned in
StreamStatus. If the stream is in the ACTIVE state, you can call
SplitShard. If a stream is in CREATING or UPDATING or
DELETING states, DescribeStream returns a ResourceInUseException.
If the specified stream does not exist, DescribeStream returns a
ResourceNotFoundException. If you try to create more shards than are authorized for your account,
you receive a LimitExceededException.
For the default shard limit for an AWS account, see Streams Limits in the Amazon Kinesis Streams Developer Guide. If you need to increase this limit, contact AWS Support.
If you try to operate on too many streams simultaneously using CreateStream, DeleteStream,
MergeShards, and/or SplitShard, you receive a LimitExceededException.
SplitShard has limit of 5 transactions per second per account.
splitShardRequest - Represents the input for SplitShard.Future<SplitShardResult> splitShardAsync(SplitShardRequest splitShardRequest, AsyncHandler<SplitShardRequest,SplitShardResult> asyncHandler)
Splits a shard into two new shards in the Amazon Kinesis stream to increase the stream's capacity to ingest and
transport data. SplitShard is called when there is a need to increase the overall capacity of a
stream because of an expected increase in the volume of data records being ingested.
You can also use SplitShard when a shard appears to be approaching its maximum utilization; for
example, the producers sending data into the specific shard are suddenly sending more than previously
anticipated. You can also call SplitShard to increase stream capacity, so that more Amazon Kinesis
applications can simultaneously read data from the stream for real-time processing.
You must specify the shard to be split and the new hash key, which is the position in the shard where the shard gets split in two. In many cases, the new hash key might simply be the average of the beginning and ending hash key, but it can be any hash key value in the range being mapped into the shard. For more information about splitting shards, see Split a Shard in the Amazon Kinesis Streams Developer Guide.
You can use DescribeStream to determine the shard ID and hash key values for the ShardToSplit
and NewStartingHashKey parameters that are specified in the SplitShard request.
SplitShard is an asynchronous operation. Upon receiving a SplitShard request, Amazon
Kinesis immediately returns a response and sets the stream status to UPDATING. After the operation
is completed, Amazon Kinesis sets the stream status to ACTIVE. Read and write operations continue to
work while the stream is in the UPDATING state.
You can use DescribeStream to check the status of the stream, which is returned in
StreamStatus. If the stream is in the ACTIVE state, you can call
SplitShard. If a stream is in CREATING or UPDATING or
DELETING states, DescribeStream returns a ResourceInUseException.
If the specified stream does not exist, DescribeStream returns a
ResourceNotFoundException. If you try to create more shards than are authorized for your account,
you receive a LimitExceededException.
For the default shard limit for an AWS account, see Streams Limits in the Amazon Kinesis Streams Developer Guide. If you need to increase this limit, contact AWS Support.
If you try to operate on too many streams simultaneously using CreateStream, DeleteStream,
MergeShards, and/or SplitShard, you receive a LimitExceededException.
SplitShard has limit of 5 transactions per second per account.
splitShardRequest - Represents the input for SplitShard.asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<SplitShardResult> splitShardAsync(String streamName, String shardToSplit, String newStartingHashKey)
splitShardAsync(SplitShardRequest)Future<SplitShardResult> splitShardAsync(String streamName, String shardToSplit, String newStartingHashKey, AsyncHandler<SplitShardRequest,SplitShardResult> asyncHandler)
Future<StartStreamEncryptionResult> startStreamEncryptionAsync(StartStreamEncryptionRequest startStreamEncryptionRequest)
Enables or updates server-side encryption using an AWS KMS key for a specified stream.
Starting encryption is an asynchronous operation. Upon receiving the request, Amazon Kinesis returns immediately
and sets the status of the stream to UPDATING. After the update is complete, Amazon Kinesis sets the
status of the stream back to ACTIVE. Updating or applying encryption normally takes a few seconds to
complete but it can take minutes. You can continue to read and write data to your stream while its status is
UPDATING. Once the status of the stream is ACTIVE, records written to the stream will
begin to be encrypted.
API Limits: You can successfully apply a new AWS KMS key for server-side encryption 25 times in a rolling 24 hour period.
Note: It can take up to 5 seconds after the stream is in an ACTIVE status before all records written
to the stream are encrypted. After you’ve enabled encryption, you can verify encryption was applied by inspecting
the API response from PutRecord or PutRecords.
startStreamEncryptionRequest - Future<StartStreamEncryptionResult> startStreamEncryptionAsync(StartStreamEncryptionRequest startStreamEncryptionRequest, AsyncHandler<StartStreamEncryptionRequest,StartStreamEncryptionResult> asyncHandler)
Enables or updates server-side encryption using an AWS KMS key for a specified stream.
Starting encryption is an asynchronous operation. Upon receiving the request, Amazon Kinesis returns immediately
and sets the status of the stream to UPDATING. After the update is complete, Amazon Kinesis sets the
status of the stream back to ACTIVE. Updating or applying encryption normally takes a few seconds to
complete but it can take minutes. You can continue to read and write data to your stream while its status is
UPDATING. Once the status of the stream is ACTIVE, records written to the stream will
begin to be encrypted.
API Limits: You can successfully apply a new AWS KMS key for server-side encryption 25 times in a rolling 24 hour period.
Note: It can take up to 5 seconds after the stream is in an ACTIVE status before all records written
to the stream are encrypted. After you’ve enabled encryption, you can verify encryption was applied by inspecting
the API response from PutRecord or PutRecords.
startStreamEncryptionRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<StopStreamEncryptionResult> stopStreamEncryptionAsync(StopStreamEncryptionRequest stopStreamEncryptionRequest)
Disables server-side encryption for a specified stream.
Stopping encryption is an asynchronous operation. Upon receiving the request, Amazon Kinesis returns immediately
and sets the status of the stream to UPDATING. After the update is complete, Amazon Kinesis sets the
status of the stream back to ACTIVE. Stopping encryption normally takes a few seconds to complete
but it can take minutes. You can continue to read and write data to your stream while its status is
UPDATING. Once the status of the stream is ACTIVE records written to the stream will no
longer be encrypted by the Amazon Kinesis Streams service.
API Limits: You can successfully disable server-side encryption 25 times in a rolling 24 hour period.
Note: It can take up to 5 seconds after the stream is in an ACTIVE status before all records written
to the stream are no longer subject to encryption. After you’ve disabled encryption, you can verify encryption
was not applied by inspecting the API response from PutRecord or PutRecords.
stopStreamEncryptionRequest - Future<StopStreamEncryptionResult> stopStreamEncryptionAsync(StopStreamEncryptionRequest stopStreamEncryptionRequest, AsyncHandler<StopStreamEncryptionRequest,StopStreamEncryptionResult> asyncHandler)
Disables server-side encryption for a specified stream.
Stopping encryption is an asynchronous operation. Upon receiving the request, Amazon Kinesis returns immediately
and sets the status of the stream to UPDATING. After the update is complete, Amazon Kinesis sets the
status of the stream back to ACTIVE. Stopping encryption normally takes a few seconds to complete
but it can take minutes. You can continue to read and write data to your stream while its status is
UPDATING. Once the status of the stream is ACTIVE records written to the stream will no
longer be encrypted by the Amazon Kinesis Streams service.
API Limits: You can successfully disable server-side encryption 25 times in a rolling 24 hour period.
Note: It can take up to 5 seconds after the stream is in an ACTIVE status before all records written
to the stream are no longer subject to encryption. After you’ve disabled encryption, you can verify encryption
was not applied by inspecting the API response from PutRecord or PutRecords.
stopStreamEncryptionRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<UpdateShardCountResult> updateShardCountAsync(UpdateShardCountRequest updateShardCountRequest)
Updates the shard count of the specified stream to the specified number of shards.
Updating the shard count is an asynchronous operation. Upon receiving the request, Amazon Kinesis returns
immediately and sets the status of the stream to UPDATING. After the update is complete, Amazon
Kinesis sets the status of the stream back to ACTIVE. Depending on the size of the stream, the
scaling action could take a few minutes to complete. You can continue to read and write data to your stream while
its status is UPDATING.
To update the shard count, Amazon Kinesis performs splits or merges on individual shards. This can cause short-lived shards to be created, in addition to the final shards. We recommend that you double or halve the shard count, as this results in the fewest number of splits or merges.
This operation has the following limits, which are per region per account unless otherwise noted:
scale more than twice per rolling 24 hour period
scale up above double your current shard count
scale down below half your current shard count
scale up above 200 shards in a stream
scale a stream with more than 200 shards down unless the result is less than 200 shards
scale up above the shard limits for your account
For the default limits for an AWS account, see Streams Limits in the Amazon Kinesis Streams Developer Guide. If you need to increase a limit, contact AWS Support.
updateShardCountRequest - Future<UpdateShardCountResult> updateShardCountAsync(UpdateShardCountRequest updateShardCountRequest, AsyncHandler<UpdateShardCountRequest,UpdateShardCountResult> asyncHandler)
Updates the shard count of the specified stream to the specified number of shards.
Updating the shard count is an asynchronous operation. Upon receiving the request, Amazon Kinesis returns
immediately and sets the status of the stream to UPDATING. After the update is complete, Amazon
Kinesis sets the status of the stream back to ACTIVE. Depending on the size of the stream, the
scaling action could take a few minutes to complete. You can continue to read and write data to your stream while
its status is UPDATING.
To update the shard count, Amazon Kinesis performs splits or merges on individual shards. This can cause short-lived shards to be created, in addition to the final shards. We recommend that you double or halve the shard count, as this results in the fewest number of splits or merges.
This operation has the following limits, which are per region per account unless otherwise noted:
scale more than twice per rolling 24 hour period
scale up above double your current shard count
scale down below half your current shard count
scale up above 200 shards in a stream
scale a stream with more than 200 shards down unless the result is less than 200 shards
scale up above the shard limits for your account
For the default limits for an AWS account, see Streams Limits in the Amazon Kinesis Streams Developer Guide. If you need to increase a limit, contact AWS Support.
updateShardCountRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Copyright © 2017. All rights reserved.