Interface AmazonKinesisAsync
- All Superinterfaces:
AmazonKinesis
- All Known Implementing Classes:
AbstractAmazonKinesisAsync
,AmazonKinesisAsyncClient
AsyncHandler
can be used to receive
notification when an asynchronous operation completes.
Amazon Kinesis Streams is a managed service that scales elastically for real time processing of streaming big data.
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Method Summary
Modifier and TypeMethodDescriptionaddTagsToStreamAsync
(AddTagsToStreamRequest addTagsToStreamRequest) Adds or updates tags for the specified Amazon Kinesis stream.addTagsToStreamAsync
(AddTagsToStreamRequest addTagsToStreamRequest, AsyncHandler<AddTagsToStreamRequest, AddTagsToStreamResult> asyncHandler) Adds or updates tags for the specified Amazon Kinesis stream.createStreamAsync
(CreateStreamRequest createStreamRequest) Creates an Amazon Kinesis stream.createStreamAsync
(CreateStreamRequest createStreamRequest, AsyncHandler<CreateStreamRequest, CreateStreamResult> asyncHandler) Creates an Amazon Kinesis stream.createStreamAsync
(String streamName, Integer shardCount) Simplified method form for invoking the CreateStream operation.createStreamAsync
(String streamName, Integer shardCount, AsyncHandler<CreateStreamRequest, CreateStreamResult> asyncHandler) Simplified method form for invoking the CreateStream operation with an AsyncHandler.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.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.deleteStreamAsync
(DeleteStreamRequest deleteStreamRequest) Deletes an Amazon Kinesis stream and all its shards and data.deleteStreamAsync
(DeleteStreamRequest deleteStreamRequest, AsyncHandler<DeleteStreamRequest, DeleteStreamResult> asyncHandler) Deletes an Amazon Kinesis stream and all its shards and data.deleteStreamAsync
(String streamName) Simplified method form for invoking the DeleteStream operation.deleteStreamAsync
(String streamName, AsyncHandler<DeleteStreamRequest, DeleteStreamResult> asyncHandler) Simplified method form for invoking the DeleteStream operation with an AsyncHandler.describeStreamAsync
(DescribeStreamRequest describeStreamRequest) Describes the specified Amazon Kinesis stream.describeStreamAsync
(DescribeStreamRequest describeStreamRequest, AsyncHandler<DescribeStreamRequest, DescribeStreamResult> asyncHandler) Describes the specified Amazon Kinesis stream.describeStreamAsync
(String streamName) Simplified method form for invoking the DescribeStream operation.describeStreamAsync
(String streamName, AsyncHandler<DescribeStreamRequest, DescribeStreamResult> asyncHandler) Simplified method form for invoking the DescribeStream operation with an AsyncHandler.describeStreamAsync
(String streamName, Integer limit, String exclusiveStartShardId) Simplified method form for invoking the DescribeStream operation.describeStreamAsync
(String streamName, Integer limit, String exclusiveStartShardId, AsyncHandler<DescribeStreamRequest, DescribeStreamResult> asyncHandler) Simplified method form for invoking the DescribeStream operation with an AsyncHandler.describeStreamAsync
(String streamName, String exclusiveStartShardId) Simplified method form for invoking the DescribeStream operation.describeStreamAsync
(String streamName, String exclusiveStartShardId, AsyncHandler<DescribeStreamRequest, DescribeStreamResult> asyncHandler) Simplified method form for invoking the DescribeStream operation with an AsyncHandler.disableEnhancedMonitoringAsync
(DisableEnhancedMonitoringRequest disableEnhancedMonitoringRequest) Disables enhanced monitoring.disableEnhancedMonitoringAsync
(DisableEnhancedMonitoringRequest disableEnhancedMonitoringRequest, AsyncHandler<DisableEnhancedMonitoringRequest, DisableEnhancedMonitoringResult> asyncHandler) Disables enhanced monitoring.enableEnhancedMonitoringAsync
(EnableEnhancedMonitoringRequest enableEnhancedMonitoringRequest) Enables enhanced Amazon Kinesis stream monitoring for shard-level metrics.enableEnhancedMonitoringAsync
(EnableEnhancedMonitoringRequest enableEnhancedMonitoringRequest, AsyncHandler<EnableEnhancedMonitoringRequest, EnableEnhancedMonitoringResult> asyncHandler) Enables enhanced Amazon Kinesis stream monitoring for shard-level metrics.getRecordsAsync
(GetRecordsRequest getRecordsRequest) Gets data records from an Amazon Kinesis stream's shard.getRecordsAsync
(GetRecordsRequest getRecordsRequest, AsyncHandler<GetRecordsRequest, GetRecordsResult> asyncHandler) Gets data records from an Amazon Kinesis stream's shard.getShardIteratorAsync
(GetShardIteratorRequest getShardIteratorRequest) Gets an Amazon Kinesis shard iterator.getShardIteratorAsync
(GetShardIteratorRequest getShardIteratorRequest, AsyncHandler<GetShardIteratorRequest, GetShardIteratorResult> asyncHandler) Gets an Amazon Kinesis shard iterator.getShardIteratorAsync
(String streamName, String shardId, String shardIteratorType) Simplified method form for invoking the GetShardIterator operation.getShardIteratorAsync
(String streamName, String shardId, String shardIteratorType, AsyncHandler<GetShardIteratorRequest, GetShardIteratorResult> asyncHandler) Simplified method form for invoking the GetShardIterator operation with an AsyncHandler.getShardIteratorAsync
(String streamName, String shardId, String shardIteratorType, String startingSequenceNumber) Simplified method form for invoking the GetShardIterator operation.getShardIteratorAsync
(String streamName, String shardId, String shardIteratorType, String startingSequenceNumber, AsyncHandler<GetShardIteratorRequest, GetShardIteratorResult> asyncHandler) Simplified method form for invoking the GetShardIterator operation with an AsyncHandler.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.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.Simplified method form for invoking the ListStreams operation.listStreamsAsync
(AsyncHandler<ListStreamsRequest, ListStreamsResult> asyncHandler) Simplified method form for invoking the ListStreams operation with an AsyncHandler.listStreamsAsync
(ListStreamsRequest listStreamsRequest) Lists your Amazon Kinesis streams.listStreamsAsync
(ListStreamsRequest listStreamsRequest, AsyncHandler<ListStreamsRequest, ListStreamsResult> asyncHandler) Lists your Amazon Kinesis streams.listStreamsAsync
(Integer limit, String exclusiveStartStreamName) Simplified method form for invoking the ListStreams operation.listStreamsAsync
(Integer limit, String exclusiveStartStreamName, AsyncHandler<ListStreamsRequest, ListStreamsResult> asyncHandler) Simplified method form for invoking the ListStreams operation with an AsyncHandler.listStreamsAsync
(String exclusiveStartStreamName) Simplified method form for invoking the ListStreams operation.listStreamsAsync
(String exclusiveStartStreamName, AsyncHandler<ListStreamsRequest, ListStreamsResult> asyncHandler) Simplified method form for invoking the ListStreams operation with an AsyncHandler.listTagsForStreamAsync
(ListTagsForStreamRequest listTagsForStreamRequest) Lists the tags for the specified Amazon Kinesis stream.listTagsForStreamAsync
(ListTagsForStreamRequest listTagsForStreamRequest, AsyncHandler<ListTagsForStreamRequest, ListTagsForStreamResult> asyncHandler) Lists the tags for the specified Amazon Kinesis stream.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.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.mergeShardsAsync
(String streamName, String shardToMerge, String adjacentShardToMerge) Simplified method form for invoking the MergeShards operation.mergeShardsAsync
(String streamName, String shardToMerge, String adjacentShardToMerge, AsyncHandler<MergeShardsRequest, MergeShardsResult> asyncHandler) Simplified method form for invoking the MergeShards operation with an AsyncHandler.putRecordAsync
(PutRecordRequest putRecordRequest) Writes a single data record into an Amazon Kinesis stream.putRecordAsync
(PutRecordRequest putRecordRequest, AsyncHandler<PutRecordRequest, PutRecordResult> asyncHandler) Writes a single data record into an Amazon Kinesis stream.putRecordAsync
(String streamName, ByteBuffer data, String partitionKey) Simplified method form for invoking the PutRecord operation.putRecordAsync
(String streamName, ByteBuffer data, String partitionKey, AsyncHandler<PutRecordRequest, PutRecordResult> asyncHandler) Simplified method form for invoking the PutRecord operation with an AsyncHandler.putRecordAsync
(String streamName, ByteBuffer data, String partitionKey, String sequenceNumberForOrdering) Simplified method form for invoking the PutRecord operation.putRecordAsync
(String streamName, ByteBuffer data, String partitionKey, String sequenceNumberForOrdering, AsyncHandler<PutRecordRequest, PutRecordResult> asyncHandler) Simplified method form for invoking the PutRecord operation with an AsyncHandler.putRecordsAsync
(PutRecordsRequest putRecordsRequest) Writes multiple data records into an Amazon Kinesis stream in a single call (also referred to as aPutRecords
request).putRecordsAsync
(PutRecordsRequest putRecordsRequest, AsyncHandler<PutRecordsRequest, PutRecordsResult> asyncHandler) Writes multiple data records into an Amazon Kinesis stream in a single call (also referred to as aPutRecords
request).removeTagsFromStreamAsync
(RemoveTagsFromStreamRequest removeTagsFromStreamRequest) Removes tags from the specified Amazon Kinesis stream.removeTagsFromStreamAsync
(RemoveTagsFromStreamRequest removeTagsFromStreamRequest, AsyncHandler<RemoveTagsFromStreamRequest, RemoveTagsFromStreamResult> asyncHandler) Removes tags from the specified Amazon Kinesis stream.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.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.splitShardAsync
(String streamName, String shardToSplit, String newStartingHashKey) Simplified method form for invoking the SplitShard operation.splitShardAsync
(String streamName, String shardToSplit, String newStartingHashKey, AsyncHandler<SplitShardRequest, SplitShardResult> asyncHandler) Simplified method form for invoking the SplitShard operation with an AsyncHandler.Methods inherited from interface com.amazonaws.services.kinesis.AmazonKinesis
addTagsToStream, createStream, createStream, decreaseStreamRetentionPeriod, deleteStream, deleteStream, 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
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Method Details
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addTagsToStreamAsync
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.- Parameters:
addTagsToStreamRequest
- Represents the input forAddTagsToStream
.- Returns:
- A Java Future containing the result of the AddTagsToStream operation returned by the service.
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addTagsToStreamAsync
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.- Parameters:
addTagsToStreamRequest
- Represents the input forAddTagsToStream
.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.- Returns:
- A Java Future containing the result of the AddTagsToStream operation returned by the service.
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createStreamAsync
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 aCreateStream
request, Amazon Kinesis immediately returns and sets the stream status toCREATING
. After the stream is created, Amazon Kinesis sets the stream status toACTIVE
. You should perform read and write operations only on anACTIVE
stream.You receive a
LimitExceededException
when making aCreateStream
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 inStreamStatus
.CreateStream has a limit of 5 transactions per second per account.
- Parameters:
createStreamRequest
- Represents the input forCreateStream
.- Returns:
- A Java Future containing the result of the CreateStream operation returned by the service.
- Have more than five streams in the
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createStreamAsync
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 aCreateStream
request, Amazon Kinesis immediately returns and sets the stream status toCREATING
. After the stream is created, Amazon Kinesis sets the stream status toACTIVE
. You should perform read and write operations only on anACTIVE
stream.You receive a
LimitExceededException
when making aCreateStream
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 inStreamStatus
.CreateStream has a limit of 5 transactions per second per account.
- Parameters:
createStreamRequest
- Represents the input forCreateStream
.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.- Returns:
- A Java Future containing the result of the CreateStream operation returned by the service.
- Have more than five streams in the
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createStreamAsync
Simplified method form for invoking the CreateStream operation.- See Also:
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createStreamAsync
Future<CreateStreamResult> createStreamAsync(String streamName, Integer shardCount, AsyncHandler<CreateStreamRequest, CreateStreamResult> asyncHandler) Simplified method form for invoking the CreateStream operation with an AsyncHandler. -
decreaseStreamRetentionPeriodAsync
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.
- Parameters:
decreaseStreamRetentionPeriodRequest
- Represents the input for DecreaseStreamRetentionPeriod.- Returns:
- A Java Future containing the result of the DecreaseStreamRetentionPeriod operation returned by the service.
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decreaseStreamRetentionPeriodAsync
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.
- Parameters:
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.- Returns:
- A Java Future containing the result of the DecreaseStreamRetentionPeriod operation returned by the service.
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deleteStreamAsync
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 aDeleteStream
request, the specified stream is in theDELETING
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.
- Parameters:
deleteStreamRequest
- Represents the input for DeleteStream.- Returns:
- A Java Future containing the result of the DeleteStream operation returned by the service.
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deleteStreamAsync
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 aDeleteStream
request, the specified stream is in theDELETING
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.
- Parameters:
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.- Returns:
- A Java Future containing the result of the DeleteStream operation returned by the service.
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deleteStreamAsync
Simplified method form for invoking the DeleteStream operation.- See Also:
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deleteStreamAsync
Future<DeleteStreamResult> deleteStreamAsync(String streamName, AsyncHandler<DeleteStreamRequest, DeleteStreamResult> asyncHandler) Simplified method form for invoking the DeleteStream operation with an AsyncHandler. -
describeStreamAsync
Describes the specified Amazon Kinesis stream.
The information about the stream includes its current status, its Amazon Resource Name (ARN), and an array of shard objects. For each shard object, there is information about 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. A sequence number is the identifier associated with every record ingested in the stream. The sequence number is assigned when a record is put into the stream.
You can limit the number of returned shards using the
Limit
parameter. The number of shards in a stream may be too large to return from a single call toDescribeStream
. You can detect this by using theHasMoreShards
flag in the returned output.HasMoreShards
is set totrue
when there is more data available.DescribeStream
is a paginated operation. If there are more shards available, you can request them using the shard ID of the last shard returned. Specify this ID in theExclusiveStartShardId
parameter in a subsequent request toDescribeStream
.There are no guarantees about the chronological order shards returned in
DescribeStream
results. If you want to process shards in chronological order, useParentShardId
to track lineage to the oldest shard.DescribeStream has a limit of 10 transactions per second per account.
- Parameters:
describeStreamRequest
- Represents the input forDescribeStream
.- Returns:
- A Java Future containing the result of the DescribeStream operation returned by the service.
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describeStreamAsync
Future<DescribeStreamResult> describeStreamAsync(DescribeStreamRequest describeStreamRequest, AsyncHandler<DescribeStreamRequest, DescribeStreamResult> asyncHandler) Describes the specified Amazon Kinesis stream.
The information about the stream includes its current status, its Amazon Resource Name (ARN), and an array of shard objects. For each shard object, there is information about 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. A sequence number is the identifier associated with every record ingested in the stream. The sequence number is assigned when a record is put into the stream.
You can limit the number of returned shards using the
Limit
parameter. The number of shards in a stream may be too large to return from a single call toDescribeStream
. You can detect this by using theHasMoreShards
flag in the returned output.HasMoreShards
is set totrue
when there is more data available.DescribeStream
is a paginated operation. If there are more shards available, you can request them using the shard ID of the last shard returned. Specify this ID in theExclusiveStartShardId
parameter in a subsequent request toDescribeStream
.There are no guarantees about the chronological order shards returned in
DescribeStream
results. If you want to process shards in chronological order, useParentShardId
to track lineage to the oldest shard.DescribeStream has a limit of 10 transactions per second per account.
- Parameters:
describeStreamRequest
- Represents the input forDescribeStream
.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.- Returns:
- A Java Future containing the result of the DescribeStream operation returned by the service.
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describeStreamAsync
Simplified method form for invoking the DescribeStream operation. -
describeStreamAsync
Future<DescribeStreamResult> describeStreamAsync(String streamName, AsyncHandler<DescribeStreamRequest, DescribeStreamResult> asyncHandler) Simplified method form for invoking the DescribeStream operation with an AsyncHandler. -
describeStreamAsync
Simplified method form for invoking the DescribeStream operation. -
describeStreamAsync
Future<DescribeStreamResult> describeStreamAsync(String streamName, String exclusiveStartShardId, AsyncHandler<DescribeStreamRequest, DescribeStreamResult> asyncHandler) Simplified method form for invoking the DescribeStream operation with an AsyncHandler. -
describeStreamAsync
Future<DescribeStreamResult> describeStreamAsync(String streamName, Integer limit, String exclusiveStartShardId) Simplified method form for invoking the DescribeStream operation. -
describeStreamAsync
Future<DescribeStreamResult> describeStreamAsync(String streamName, Integer limit, String exclusiveStartShardId, AsyncHandler<DescribeStreamRequest, DescribeStreamResult> asyncHandler) Simplified method form for invoking the DescribeStream operation with an AsyncHandler. -
disableEnhancedMonitoringAsync
Future<DisableEnhancedMonitoringResult> disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest disableEnhancedMonitoringRequest) Disables enhanced monitoring.
- Parameters:
disableEnhancedMonitoringRequest
- Represents the input for DisableEnhancedMonitoring.- Returns:
- A Java Future containing the result of the DisableEnhancedMonitoring operation returned by the service.
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disableEnhancedMonitoringAsync
Future<DisableEnhancedMonitoringResult> disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest disableEnhancedMonitoringRequest, AsyncHandler<DisableEnhancedMonitoringRequest, DisableEnhancedMonitoringResult> asyncHandler) Disables enhanced monitoring.
- Parameters:
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.- Returns:
- A Java Future containing the result of the DisableEnhancedMonitoring operation returned by the service.
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enableEnhancedMonitoringAsync
Future<EnableEnhancedMonitoringResult> enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest enableEnhancedMonitoringRequest) Enables enhanced Amazon Kinesis stream monitoring for shard-level metrics.
- Parameters:
enableEnhancedMonitoringRequest
- Represents the input for EnableEnhancedMonitoring.- Returns:
- A Java Future containing the result of the EnableEnhancedMonitoring operation returned by the service.
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enableEnhancedMonitoringAsync
Future<EnableEnhancedMonitoringResult> enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest enableEnhancedMonitoringRequest, AsyncHandler<EnableEnhancedMonitoringRequest, EnableEnhancedMonitoringResult> asyncHandler) Enables enhanced Amazon Kinesis stream monitoring for shard-level metrics.
- Parameters:
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.- Returns:
- A Java Future containing the result of the EnableEnhancedMonitoring operation returned by the service.
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getRecordsAsync
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 inNextShardIterator
in subsequent calls to GetRecords. Note that if the shard has been closed, the shard iterator can't return more data and GetRecords returnsnull
inNextShardIterator
. 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 throwProvisionedThroughputExceededException
. 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.- Parameters:
getRecordsRequest
- Represents the input for GetRecords.- Returns:
- A Java Future containing the result of the GetRecords operation returned by the service.
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getRecordsAsync
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 inNextShardIterator
in subsequent calls to GetRecords. Note that if the shard has been closed, the shard iterator can't return more data and GetRecords returnsnull
inNextShardIterator
. 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 throwProvisionedThroughputExceededException
. 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.- Parameters:
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.- Returns:
- A Java Future containing the result of the GetRecords operation returned by the service.
-
getShardIteratorAsync
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 theAT_SEQUENCE_NUMBER
shard iterator type, or right after the sequence number by using theAFTER_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 typeAT_TIMESTAMP
to read records from an arbitrary point in time,TRIM_HORIZON
to causeShardIterator
to point to the last untrimmed record in the shard in the system (the oldest data record in the shard), orLATEST
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 inNextShardIterator
, which you use in theShardIterator
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.
- Parameters:
getShardIteratorRequest
- Represents the input forGetShardIterator
.- Returns:
- A Java Future containing the result of the GetShardIterator operation returned by the service.
-
getShardIteratorAsync
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 theAT_SEQUENCE_NUMBER
shard iterator type, or right after the sequence number by using theAFTER_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 typeAT_TIMESTAMP
to read records from an arbitrary point in time,TRIM_HORIZON
to causeShardIterator
to point to the last untrimmed record in the shard in the system (the oldest data record in the shard), orLATEST
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 inNextShardIterator
, which you use in theShardIterator
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.
- Parameters:
getShardIteratorRequest
- Represents the input forGetShardIterator
.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.- Returns:
- A Java Future containing the result of the GetShardIterator operation returned by the service.
-
getShardIteratorAsync
Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType) Simplified method form for invoking the GetShardIterator operation. -
getShardIteratorAsync
Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType, AsyncHandler<GetShardIteratorRequest, GetShardIteratorResult> asyncHandler) Simplified method form for invoking the GetShardIterator operation with an AsyncHandler. -
getShardIteratorAsync
Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType, String startingSequenceNumber) Simplified method form for invoking the GetShardIterator operation. -
getShardIteratorAsync
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. -
increaseStreamRetentionPeriodAsync
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.
- Parameters:
increaseStreamRetentionPeriodRequest
- Represents the input for IncreaseStreamRetentionPeriod.- Returns:
- A Java Future containing the result of the IncreaseStreamRetentionPeriod operation returned by the service.
-
increaseStreamRetentionPeriodAsync
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.
- Parameters:
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.- Returns:
- A Java Future containing the result of the IncreaseStreamRetentionPeriod operation returned by the service.
-
listStreamsAsync
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 theLimit
parameter. If you do not specify a value for theLimit
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 theListStreams
request in theExclusiveStartStreamName
parameter in a subsequent request toListStreams
. 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.
- Parameters:
listStreamsRequest
- Represents the input forListStreams
.- Returns:
- A Java Future containing the result of the ListStreams operation returned by the service.
-
listStreamsAsync
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 theLimit
parameter. If you do not specify a value for theLimit
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 theListStreams
request in theExclusiveStartStreamName
parameter in a subsequent request toListStreams
. 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.
- Parameters:
listStreamsRequest
- Represents the input forListStreams
.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.- Returns:
- A Java Future containing the result of the ListStreams operation returned by the service.
-
listStreamsAsync
Future<ListStreamsResult> listStreamsAsync()Simplified method form for invoking the ListStreams operation.- See Also:
-
listStreamsAsync
Future<ListStreamsResult> listStreamsAsync(AsyncHandler<ListStreamsRequest, ListStreamsResult> asyncHandler) Simplified method form for invoking the ListStreams operation with an AsyncHandler. -
listStreamsAsync
Simplified method form for invoking the ListStreams operation.- See Also:
-
listStreamsAsync
Future<ListStreamsResult> listStreamsAsync(String exclusiveStartStreamName, AsyncHandler<ListStreamsRequest, ListStreamsResult> asyncHandler) Simplified method form for invoking the ListStreams operation with an AsyncHandler. -
listStreamsAsync
Simplified method form for invoking the ListStreams operation.- See Also:
-
listStreamsAsync
Future<ListStreamsResult> listStreamsAsync(Integer limit, String exclusiveStartStreamName, AsyncHandler<ListStreamsRequest, ListStreamsResult> asyncHandler) Simplified method form for invoking the ListStreams operation with an AsyncHandler. -
listTagsForStreamAsync
Future<ListTagsForStreamResult> listTagsForStreamAsync(ListTagsForStreamRequest listTagsForStreamRequest) Lists the tags for the specified Amazon Kinesis stream.
- Parameters:
listTagsForStreamRequest
- Represents the input forListTagsForStream
.- Returns:
- A Java Future containing the result of the ListTagsForStream operation returned by the service.
-
listTagsForStreamAsync
Future<ListTagsForStreamResult> listTagsForStreamAsync(ListTagsForStreamRequest listTagsForStreamRequest, AsyncHandler<ListTagsForStreamRequest, ListTagsForStreamResult> asyncHandler) Lists the tags for the specified Amazon Kinesis stream.
- Parameters:
listTagsForStreamRequest
- Represents the input forListTagsForStream
.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.- Returns:
- A Java Future containing the result of the ListTagsForStream operation returned by the service.
-
mergeShardsAsync
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 callMergeShards
. If a stream is in theCREATING
,UPDATING
, orDELETING
state,MergeShards
returns aResourceInUseException
. If the specified stream does not exist,MergeShards
returns aResourceNotFoundException
.You can use DescribeStream to check the state of the stream, which is returned in
StreamStatus
.MergeShards
is an asynchronous operation. Upon receiving aMergeShards
request, Amazon Kinesis immediately returns a response and sets theStreamStatus
toUPDATING
. After the operation is completed, Amazon Kinesis sets theStreamStatus
toACTIVE
. Read and write operations continue to work while the stream is in theUPDATING
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 aLimitExceededException
.MergeShards
has limit of 5 transactions per second per account.- Parameters:
mergeShardsRequest
- Represents the input forMergeShards
.- Returns:
- A Java Future containing the result of the MergeShards operation returned by the service.
-
mergeShardsAsync
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 callMergeShards
. If a stream is in theCREATING
,UPDATING
, orDELETING
state,MergeShards
returns aResourceInUseException
. If the specified stream does not exist,MergeShards
returns aResourceNotFoundException
.You can use DescribeStream to check the state of the stream, which is returned in
StreamStatus
.MergeShards
is an asynchronous operation. Upon receiving aMergeShards
request, Amazon Kinesis immediately returns a response and sets theStreamStatus
toUPDATING
. After the operation is completed, Amazon Kinesis sets theStreamStatus
toACTIVE
. Read and write operations continue to work while the stream is in theUPDATING
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 aLimitExceededException
.MergeShards
has limit of 5 transactions per second per account.- Parameters:
mergeShardsRequest
- Represents the input forMergeShards
.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.- Returns:
- A Java Future containing the result of the MergeShards operation returned by the service.
-
mergeShardsAsync
Future<MergeShardsResult> mergeShardsAsync(String streamName, String shardToMerge, String adjacentShardToMerge) Simplified method form for invoking the MergeShards operation.- See Also:
-
mergeShardsAsync
Future<MergeShardsResult> mergeShardsAsync(String streamName, String shardToMerge, String adjacentShardToMerge, AsyncHandler<MergeShardsRequest, MergeShardsResult> asyncHandler) Simplified method form for invoking the MergeShards operation with an AsyncHandler. -
putRecordAsync
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
throwsProvisionedThroughputExceededException
.Data records are accessible for only 24 hours from the time that they are added to a stream.
- Parameters:
putRecordRequest
- Represents the input forPutRecord
.- Returns:
- A Java Future containing the result of the PutRecord operation returned by the service.
-
putRecordAsync
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
throwsProvisionedThroughputExceededException
.Data records are accessible for only 24 hours from the time that they are added to a stream.
- Parameters:
putRecordRequest
- Represents the input forPutRecord
.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.- Returns:
- A Java Future containing the result of the PutRecord operation returned by the service.
-
putRecordAsync
Simplified method form for invoking the PutRecord operation.- See Also:
-
putRecordAsync
Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey, AsyncHandler<PutRecordRequest, PutRecordResult> asyncHandler) Simplified method form for invoking the PutRecord operation with an AsyncHandler. -
putRecordAsync
Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey, String sequenceNumberForOrdering) Simplified method form for invoking the PutRecord operation.- See Also:
-
putRecordAsync
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. -
putRecordsAsync
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 responseRecords
. 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 responseRecords
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 eachPutRecords
request. A single record failure does not stop the processing of subsequent records.A successfully-processed record includes
ShardId
andSequenceNumber
values. TheShardId
parameter identifies the shard in the stream where the record is stored. TheSequenceNumber
parameter is an identifier assigned to the put record, unique to all records in the stream.An unsuccessfully-processed record includes
ErrorCode
andErrorMessage
values.ErrorCode
reflects the type of error and can be one of the following values:ProvisionedThroughputExceededException
orInternalFailure
.ErrorMessage
provides more detailed information about theProvisionedThroughputExceededException
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 only 24 hours from the time that they are added to an Amazon Kinesis stream. This retention period can be modified using the DecreaseStreamRetentionPeriod and IncreaseStreamRetentionPeriod operations.
- Parameters:
putRecordsRequest
- APutRecords
request.- Returns:
- A Java Future containing the result of the PutRecords operation returned by the service.
-
putRecordsAsync
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 responseRecords
. 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 responseRecords
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 eachPutRecords
request. A single record failure does not stop the processing of subsequent records.A successfully-processed record includes
ShardId
andSequenceNumber
values. TheShardId
parameter identifies the shard in the stream where the record is stored. TheSequenceNumber
parameter is an identifier assigned to the put record, unique to all records in the stream.An unsuccessfully-processed record includes
ErrorCode
andErrorMessage
values.ErrorCode
reflects the type of error and can be one of the following values:ProvisionedThroughputExceededException
orInternalFailure
.ErrorMessage
provides more detailed information about theProvisionedThroughputExceededException
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 only 24 hours from the time that they are added to an Amazon Kinesis stream. This retention period can be modified using the DecreaseStreamRetentionPeriod and IncreaseStreamRetentionPeriod operations.
- Parameters:
putRecordsRequest
- APutRecords
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.- Returns:
- A Java Future containing the result of the PutRecords operation returned by the service.
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removeTagsFromStreamAsync
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.
- Parameters:
removeTagsFromStreamRequest
- Represents the input forRemoveTagsFromStream
.- Returns:
- A Java Future containing the result of the RemoveTagsFromStream operation returned by the service.
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removeTagsFromStreamAsync
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.
- Parameters:
removeTagsFromStreamRequest
- Represents the input forRemoveTagsFromStream
.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.- Returns:
- A Java Future containing the result of the RemoveTagsFromStream operation returned by the service.
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splitShardAsync
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 callSplitShard
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
andNewStartingHashKey
parameters that are specified in theSplitShard
request.SplitShard
is an asynchronous operation. Upon receiving aSplitShard
request, Amazon Kinesis immediately returns a response and sets the stream status toUPDATING
. After the operation is completed, Amazon Kinesis sets the stream status toACTIVE
. Read and write operations continue to work while the stream is in theUPDATING
state.You can use
DescribeStream
to check the status of the stream, which is returned inStreamStatus
. If the stream is in theACTIVE
state, you can callSplitShard
. If a stream is inCREATING
orUPDATING
orDELETING
states,DescribeStream
returns aResourceInUseException
.If the specified stream does not exist,
DescribeStream
returns aResourceNotFoundException
. If you try to create more shards than are authorized for your account, you receive aLimitExceededException
.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.- Parameters:
splitShardRequest
- Represents the input forSplitShard
.- Returns:
- A Java Future containing the result of the SplitShard operation returned by the service.
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splitShardAsync
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 callSplitShard
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
andNewStartingHashKey
parameters that are specified in theSplitShard
request.SplitShard
is an asynchronous operation. Upon receiving aSplitShard
request, Amazon Kinesis immediately returns a response and sets the stream status toUPDATING
. After the operation is completed, Amazon Kinesis sets the stream status toACTIVE
. Read and write operations continue to work while the stream is in theUPDATING
state.You can use
DescribeStream
to check the status of the stream, which is returned inStreamStatus
. If the stream is in theACTIVE
state, you can callSplitShard
. If a stream is inCREATING
orUPDATING
orDELETING
states,DescribeStream
returns aResourceInUseException
.If the specified stream does not exist,
DescribeStream
returns aResourceNotFoundException
. If you try to create more shards than are authorized for your account, you receive aLimitExceededException
.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.- Parameters:
splitShardRequest
- Represents the input forSplitShard
.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.- Returns:
- A Java Future containing the result of the SplitShard operation returned by the service.
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splitShardAsync
Future<SplitShardResult> splitShardAsync(String streamName, String shardToSplit, String newStartingHashKey) Simplified method form for invoking the SplitShard operation.- See Also:
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splitShardAsync
Future<SplitShardResult> splitShardAsync(String streamName, String shardToSplit, String newStartingHashKey, AsyncHandler<SplitShardRequest, SplitShardResult> asyncHandler) Simplified method form for invoking the SplitShard operation with an AsyncHandler.
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