@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonKinesisAsync extends AbstractAmazonKinesis implements AmazonKinesisAsync
AmazonKinesisAsync. Convenient method forms pass through to the corresponding
overload that takes a request object and an AsyncHandler, which throws an
UnsupportedOperationException.ENDPOINT_PREFIX| Modifier | Constructor and Description |
|---|---|
protected |
AbstractAmazonKinesisAsync() |
| Modifier and Type | Method and Description |
|---|---|
Future<AddTagsToStreamResult> |
addTagsToStreamAsync(AddTagsToStreamRequest request)
Adds or updates tags for the specified Kinesis data stream.
|
Future<AddTagsToStreamResult> |
addTagsToStreamAsync(AddTagsToStreamRequest request,
AsyncHandler<AddTagsToStreamRequest,AddTagsToStreamResult> asyncHandler)
Adds or updates tags for the specified Kinesis data stream.
|
Future<CreateStreamResult> |
createStreamAsync(CreateStreamRequest request)
Creates a Kinesis data stream.
|
Future<CreateStreamResult> |
createStreamAsync(CreateStreamRequest request,
AsyncHandler<CreateStreamRequest,CreateStreamResult> asyncHandler)
Creates a Kinesis data 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 request)
Decreases the Kinesis data 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 request,
AsyncHandler<DecreaseStreamRetentionPeriodRequest,DecreaseStreamRetentionPeriodResult> asyncHandler)
Decreases the Kinesis data 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 request)
Deletes a Kinesis data stream and all its shards and data.
|
Future<DeleteStreamResult> |
deleteStreamAsync(DeleteStreamRequest request,
AsyncHandler<DeleteStreamRequest,DeleteStreamResult> asyncHandler)
Deletes a Kinesis data 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<DeregisterStreamConsumerResult> |
deregisterStreamConsumerAsync(DeregisterStreamConsumerRequest request)
To deregister a consumer, provide its ARN.
|
Future<DeregisterStreamConsumerResult> |
deregisterStreamConsumerAsync(DeregisterStreamConsumerRequest request,
AsyncHandler<DeregisterStreamConsumerRequest,DeregisterStreamConsumerResult> asyncHandler)
To deregister a consumer, provide its ARN.
|
Future<DescribeLimitsResult> |
describeLimitsAsync(DescribeLimitsRequest request)
Describes the shard limits and usage for the account.
|
Future<DescribeLimitsResult> |
describeLimitsAsync(DescribeLimitsRequest request,
AsyncHandler<DescribeLimitsRequest,DescribeLimitsResult> asyncHandler)
Describes the shard limits and usage for the account.
|
Future<DescribeStreamResult> |
describeStreamAsync(DescribeStreamRequest request)
Describes the specified Kinesis data stream.
|
Future<DescribeStreamResult> |
describeStreamAsync(DescribeStreamRequest request,
AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
Describes the specified Kinesis data 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<DescribeStreamConsumerResult> |
describeStreamConsumerAsync(DescribeStreamConsumerRequest request)
To get the description of a registered consumer, provide the ARN of the consumer.
|
Future<DescribeStreamConsumerResult> |
describeStreamConsumerAsync(DescribeStreamConsumerRequest request,
AsyncHandler<DescribeStreamConsumerRequest,DescribeStreamConsumerResult> asyncHandler)
To get the description of a registered consumer, provide the ARN of the consumer.
|
Future<DescribeStreamSummaryResult> |
describeStreamSummaryAsync(DescribeStreamSummaryRequest request)
Provides a summarized description of the specified Kinesis data stream without the shard list.
|
Future<DescribeStreamSummaryResult> |
describeStreamSummaryAsync(DescribeStreamSummaryRequest request,
AsyncHandler<DescribeStreamSummaryRequest,DescribeStreamSummaryResult> asyncHandler)
Provides a summarized description of the specified Kinesis data stream without the shard list.
|
Future<DisableEnhancedMonitoringResult> |
disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest request)
Disables enhanced monitoring.
|
Future<DisableEnhancedMonitoringResult> |
disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest request,
AsyncHandler<DisableEnhancedMonitoringRequest,DisableEnhancedMonitoringResult> asyncHandler)
Disables enhanced monitoring.
|
Future<EnableEnhancedMonitoringResult> |
enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest request)
Enables enhanced Kinesis data stream monitoring for shard-level metrics.
|
Future<EnableEnhancedMonitoringResult> |
enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest request,
AsyncHandler<EnableEnhancedMonitoringRequest,EnableEnhancedMonitoringResult> asyncHandler)
Enables enhanced Kinesis data stream monitoring for shard-level metrics.
|
Future<GetRecordsResult> |
getRecordsAsync(GetRecordsRequest request)
Gets data records from a Kinesis data stream's shard.
|
Future<GetRecordsResult> |
getRecordsAsync(GetRecordsRequest request,
AsyncHandler<GetRecordsRequest,GetRecordsResult> asyncHandler)
Gets data records from a Kinesis data stream's shard.
|
Future<GetShardIteratorResult> |
getShardIteratorAsync(GetShardIteratorRequest request)
Gets an Amazon Kinesis shard iterator.
|
Future<GetShardIteratorResult> |
getShardIteratorAsync(GetShardIteratorRequest request,
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 request)
Increases the Kinesis data 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 request,
AsyncHandler<IncreaseStreamRetentionPeriodRequest,IncreaseStreamRetentionPeriodResult> asyncHandler)
Increases the Kinesis data stream's retention period, which is the length of time data records are accessible
after they are added to the stream.
|
Future<ListShardsResult> |
listShardsAsync(ListShardsRequest request)
Lists the shards in a stream and provides information about each shard.
|
Future<ListShardsResult> |
listShardsAsync(ListShardsRequest request,
AsyncHandler<ListShardsRequest,ListShardsResult> asyncHandler)
Lists the shards in a stream and provides information about each shard.
|
Future<ListStreamConsumersResult> |
listStreamConsumersAsync(ListStreamConsumersRequest request)
Lists the consumers registered to receive data from a stream using enhanced fan-out, and provides information
about each consumer.
|
Future<ListStreamConsumersResult> |
listStreamConsumersAsync(ListStreamConsumersRequest request,
AsyncHandler<ListStreamConsumersRequest,ListStreamConsumersResult> asyncHandler)
Lists the consumers registered to receive data from a stream using enhanced fan-out, and provides information
about each consumer.
|
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 request)
Lists your Kinesis data streams.
|
Future<ListStreamsResult> |
listStreamsAsync(ListStreamsRequest request,
AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
Lists your Kinesis data 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 request)
Lists the tags for the specified Kinesis data stream.
|
Future<ListTagsForStreamResult> |
listTagsForStreamAsync(ListTagsForStreamRequest request,
AsyncHandler<ListTagsForStreamRequest,ListTagsForStreamResult> asyncHandler)
Lists the tags for the specified Kinesis data stream.
|
Future<MergeShardsResult> |
mergeShardsAsync(MergeShardsRequest request)
Merges two adjacent shards in a Kinesis data stream and combines them into a single shard to reduce the stream's
capacity to ingest and transport data.
|
Future<MergeShardsResult> |
mergeShardsAsync(MergeShardsRequest request,
AsyncHandler<MergeShardsRequest,MergeShardsResult> asyncHandler)
Merges two adjacent shards in a Kinesis data 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 request)
Writes a single data record into an Amazon Kinesis data stream.
|
Future<PutRecordResult> |
putRecordAsync(PutRecordRequest request,
AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
Writes a single data record into an Amazon Kinesis data 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 request)
Writes multiple data records into a Kinesis data stream in a single call (also referred to as a
PutRecords request). |
Future<PutRecordsResult> |
putRecordsAsync(PutRecordsRequest request,
AsyncHandler<PutRecordsRequest,PutRecordsResult> asyncHandler)
Writes multiple data records into a Kinesis data stream in a single call (also referred to as a
PutRecords request). |
Future<RegisterStreamConsumerResult> |
registerStreamConsumerAsync(RegisterStreamConsumerRequest request)
Registers a consumer with a Kinesis data stream.
|
Future<RegisterStreamConsumerResult> |
registerStreamConsumerAsync(RegisterStreamConsumerRequest request,
AsyncHandler<RegisterStreamConsumerRequest,RegisterStreamConsumerResult> asyncHandler)
Registers a consumer with a Kinesis data stream.
|
Future<RemoveTagsFromStreamResult> |
removeTagsFromStreamAsync(RemoveTagsFromStreamRequest request)
Removes tags from the specified Kinesis data stream.
|
Future<RemoveTagsFromStreamResult> |
removeTagsFromStreamAsync(RemoveTagsFromStreamRequest request,
AsyncHandler<RemoveTagsFromStreamRequest,RemoveTagsFromStreamResult> asyncHandler)
Removes tags from the specified Kinesis data stream.
|
Future<SplitShardResult> |
splitShardAsync(SplitShardRequest request)
Splits a shard into two new shards in the Kinesis data stream, to increase the stream's capacity to ingest and
transport data.
|
Future<SplitShardResult> |
splitShardAsync(SplitShardRequest request,
AsyncHandler<SplitShardRequest,SplitShardResult> asyncHandler)
Splits a shard into two new shards in the Kinesis data 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 request)
Enables or updates server-side encryption using an Amazon Web Services KMS key for a specified stream.
|
Future<StartStreamEncryptionResult> |
startStreamEncryptionAsync(StartStreamEncryptionRequest request,
AsyncHandler<StartStreamEncryptionRequest,StartStreamEncryptionResult> asyncHandler)
Enables or updates server-side encryption using an Amazon Web Services KMS key for a specified stream.
|
Future<StopStreamEncryptionResult> |
stopStreamEncryptionAsync(StopStreamEncryptionRequest request)
Disables server-side encryption for a specified stream.
|
Future<StopStreamEncryptionResult> |
stopStreamEncryptionAsync(StopStreamEncryptionRequest request,
AsyncHandler<StopStreamEncryptionRequest,StopStreamEncryptionResult> asyncHandler)
Disables server-side encryption for a specified stream.
|
Future<UpdateShardCountResult> |
updateShardCountAsync(UpdateShardCountRequest request)
Updates the shard count of the specified stream to the specified number of shards.
|
Future<UpdateShardCountResult> |
updateShardCountAsync(UpdateShardCountRequest request,
AsyncHandler<UpdateShardCountRequest,UpdateShardCountResult> asyncHandler)
Updates the shard count of the specified stream to the specified number of shards.
|
Future<UpdateStreamModeResult> |
updateStreamModeAsync(UpdateStreamModeRequest request)
Updates the capacity mode of the data stream.
|
Future<UpdateStreamModeResult> |
updateStreamModeAsync(UpdateStreamModeRequest request,
AsyncHandler<UpdateStreamModeRequest,UpdateStreamModeResult> asyncHandler)
Updates the capacity mode of the data stream.
|
addTagsToStream, createStream, createStream, decreaseStreamRetentionPeriod, deleteStream, deleteStream, deregisterStreamConsumer, describeLimits, describeStream, describeStream, describeStream, describeStream, describeStreamConsumer, describeStreamSummary, disableEnhancedMonitoring, enableEnhancedMonitoring, getCachedResponseMetadata, getRecords, getShardIterator, getShardIterator, getShardIterator, increaseStreamRetentionPeriod, listShards, listStreamConsumers, listStreams, listStreams, listStreams, listStreams, listTagsForStream, mergeShards, mergeShards, putRecord, putRecord, putRecord, putRecords, registerStreamConsumer, removeTagsFromStream, setEndpoint, setRegion, shutdown, splitShard, splitShard, startStreamEncryption, stopStreamEncryption, updateShardCount, updateStreamMode, waitersclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitaddTagsToStream, createStream, createStream, decreaseStreamRetentionPeriod, deleteStream, deleteStream, deregisterStreamConsumer, describeLimits, describeStream, describeStream, describeStream, describeStream, describeStreamConsumer, describeStreamSummary, disableEnhancedMonitoring, enableEnhancedMonitoring, getCachedResponseMetadata, getRecords, getShardIterator, getShardIterator, getShardIterator, increaseStreamRetentionPeriod, listShards, listStreamConsumers, listStreams, listStreams, listStreams, listStreams, listTagsForStream, mergeShards, mergeShards, putRecord, putRecord, putRecord, putRecords, registerStreamConsumer, removeTagsFromStream, setEndpoint, setRegion, shutdown, splitShard, splitShard, startStreamEncryption, stopStreamEncryption, updateShardCount, updateStreamMode, waiterspublic Future<AddTagsToStreamResult> addTagsToStreamAsync(AddTagsToStreamRequest request)
AmazonKinesisAsyncAdds or updates tags for the specified Kinesis data stream. You can assign up to 50 tags to a data stream.
If tags have already been assigned to the stream, AddTagsToStream overwrites any existing tags that
correspond to the specified tag keys.
AddTagsToStream has a limit of five transactions per second per account.
addTagsToStreamAsync in interface AmazonKinesisAsyncrequest - Represents the input for AddTagsToStream.public Future<AddTagsToStreamResult> addTagsToStreamAsync(AddTagsToStreamRequest request, AsyncHandler<AddTagsToStreamRequest,AddTagsToStreamResult> asyncHandler)
AmazonKinesisAsyncAdds or updates tags for the specified Kinesis data stream. You can assign up to 50 tags to a data stream.
If tags have already been assigned to the stream, AddTagsToStream overwrites any existing tags that
correspond to the specified tag keys.
AddTagsToStream has a limit of five transactions per second per account.
addTagsToStreamAsync in interface AmazonKinesisAsyncrequest - 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.public Future<CreateStreamResult> createStreamAsync(CreateStreamRequest request)
AmazonKinesisAsyncCreates a Kinesis data 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 five transactions per second, up to a maximum data read total of 2 MiB per second. Each shard can support writes up to 1,000 records per second, up to a maximum data write total of 1 MiB per second. If the amount of data input increases or decreases, you can add or remove shards.
The stream name identifies the stream. The name is scoped to the Amazon Web Services account used by the application. It is also scoped by Amazon Web Services 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,
Kinesis Data Streams immediately returns and sets the stream status to CREATING. After the stream is
created, Kinesis Data Streams 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 when 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 Amazon Web Services account, see Amazon Kinesis Data Streams Limits in the Amazon Kinesis Data Streams Developer Guide. To increase this limit, contact Amazon Web Services Support.
You can use DescribeStreamSummary to check the stream status, which is returned in
StreamStatus.
CreateStream has a limit of five transactions per second per account.
createStreamAsync in interface AmazonKinesisAsyncrequest - Represents the input for CreateStream.public Future<CreateStreamResult> createStreamAsync(CreateStreamRequest request, AsyncHandler<CreateStreamRequest,CreateStreamResult> asyncHandler)
AmazonKinesisAsyncCreates a Kinesis data 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 five transactions per second, up to a maximum data read total of 2 MiB per second. Each shard can support writes up to 1,000 records per second, up to a maximum data write total of 1 MiB per second. If the amount of data input increases or decreases, you can add or remove shards.
The stream name identifies the stream. The name is scoped to the Amazon Web Services account used by the application. It is also scoped by Amazon Web Services 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,
Kinesis Data Streams immediately returns and sets the stream status to CREATING. After the stream is
created, Kinesis Data Streams 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 when 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 Amazon Web Services account, see Amazon Kinesis Data Streams Limits in the Amazon Kinesis Data Streams Developer Guide. To increase this limit, contact Amazon Web Services Support.
You can use DescribeStreamSummary to check the stream status, which is returned in
StreamStatus.
CreateStream has a limit of five transactions per second per account.
createStreamAsync in interface AmazonKinesisAsyncrequest - 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.public Future<CreateStreamResult> createStreamAsync(String streamName, Integer shardCount)
createStreamAsync in interface AmazonKinesisAsynccreateStreamAsync(CreateStreamRequest)public Future<CreateStreamResult> createStreamAsync(String streamName, Integer shardCount, AsyncHandler<CreateStreamRequest,CreateStreamResult> asyncHandler)
createStreamAsync in interface AmazonKinesisAsynccreateStreamAsync(CreateStreamRequest, com.amazonaws.handlers.AsyncHandler)public Future<DecreaseStreamRetentionPeriodResult> decreaseStreamRetentionPeriodAsync(DecreaseStreamRetentionPeriodRequest request)
AmazonKinesisAsyncDecreases the Kinesis data 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.
decreaseStreamRetentionPeriodAsync in interface AmazonKinesisAsyncrequest - Represents the input for DecreaseStreamRetentionPeriod.public Future<DecreaseStreamRetentionPeriodResult> decreaseStreamRetentionPeriodAsync(DecreaseStreamRetentionPeriodRequest request, AsyncHandler<DecreaseStreamRetentionPeriodRequest,DecreaseStreamRetentionPeriodResult> asyncHandler)
AmazonKinesisAsyncDecreases the Kinesis data 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.
decreaseStreamRetentionPeriodAsync in interface AmazonKinesisAsyncrequest - 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.public Future<DeleteStreamResult> deleteStreamAsync(DeleteStreamRequest request)
AmazonKinesisAsync
Deletes a Kinesis data 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
receives 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 Kinesis Data Streams completes the deletion.
Note: Kinesis Data Streams 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 DescribeStreamSummary operation to check the state of the stream, which is returned in
StreamStatus.
DeleteStream has a limit of five transactions per second per account.
deleteStreamAsync in interface AmazonKinesisAsyncrequest - Represents the input for DeleteStream.public Future<DeleteStreamResult> deleteStreamAsync(DeleteStreamRequest request, AsyncHandler<DeleteStreamRequest,DeleteStreamResult> asyncHandler)
AmazonKinesisAsync
Deletes a Kinesis data 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
receives 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 Kinesis Data Streams completes the deletion.
Note: Kinesis Data Streams 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 DescribeStreamSummary operation to check the state of the stream, which is returned in
StreamStatus.
DeleteStream has a limit of five transactions per second per account.
deleteStreamAsync in interface AmazonKinesisAsyncrequest - 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.public Future<DeleteStreamResult> deleteStreamAsync(String streamName)
deleteStreamAsync in interface AmazonKinesisAsyncdeleteStreamAsync(DeleteStreamRequest)public Future<DeleteStreamResult> deleteStreamAsync(String streamName, AsyncHandler<DeleteStreamRequest,DeleteStreamResult> asyncHandler)
deleteStreamAsync in interface AmazonKinesisAsyncdeleteStreamAsync(DeleteStreamRequest, com.amazonaws.handlers.AsyncHandler)public Future<DeregisterStreamConsumerResult> deregisterStreamConsumerAsync(DeregisterStreamConsumerRequest request)
AmazonKinesisAsyncTo deregister a consumer, provide its ARN. Alternatively, you can provide the ARN of the data stream and the name you gave the consumer when you registered it. You may also provide all three parameters, as long as they don't conflict with each other. If you don't know the name or ARN of the consumer that you want to deregister, you can use the ListStreamConsumers operation to get a list of the descriptions of all the consumers that are currently registered with a given data stream. The description of a consumer contains its name and ARN.
This operation has a limit of five transactions per second per stream.
deregisterStreamConsumerAsync in interface AmazonKinesisAsyncpublic Future<DeregisterStreamConsumerResult> deregisterStreamConsumerAsync(DeregisterStreamConsumerRequest request, AsyncHandler<DeregisterStreamConsumerRequest,DeregisterStreamConsumerResult> asyncHandler)
AmazonKinesisAsyncTo deregister a consumer, provide its ARN. Alternatively, you can provide the ARN of the data stream and the name you gave the consumer when you registered it. You may also provide all three parameters, as long as they don't conflict with each other. If you don't know the name or ARN of the consumer that you want to deregister, you can use the ListStreamConsumers operation to get a list of the descriptions of all the consumers that are currently registered with a given data stream. The description of a consumer contains its name and ARN.
This operation has a limit of five transactions per second per stream.
deregisterStreamConsumerAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<DescribeLimitsResult> describeLimitsAsync(DescribeLimitsRequest request)
AmazonKinesisAsyncDescribes 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 one transaction per second per account.
describeLimitsAsync in interface AmazonKinesisAsyncpublic Future<DescribeLimitsResult> describeLimitsAsync(DescribeLimitsRequest request, AsyncHandler<DescribeLimitsRequest,DescribeLimitsResult> asyncHandler)
AmazonKinesisAsyncDescribes 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 one transaction per second per account.
describeLimitsAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<DescribeStreamResult> describeStreamAsync(DescribeStreamRequest request)
AmazonKinesisAsyncDescribes the specified Kinesis data stream.
This API has been revised. It's highly recommended that you use the DescribeStreamSummary API to get a summarized description of the specified Kinesis data stream and the ListShards API to list the shards in a specified data stream and obtain information about each shard.
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 Data 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.
describeStreamAsync in interface AmazonKinesisAsyncrequest - Represents the input for DescribeStream.public Future<DescribeStreamResult> describeStreamAsync(DescribeStreamRequest request, AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
AmazonKinesisAsyncDescribes the specified Kinesis data stream.
This API has been revised. It's highly recommended that you use the DescribeStreamSummary API to get a summarized description of the specified Kinesis data stream and the ListShards API to list the shards in a specified data stream and obtain information about each shard.
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 Data 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.
describeStreamAsync in interface AmazonKinesisAsyncrequest - 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.public Future<DescribeStreamResult> describeStreamAsync(String streamName)
describeStreamAsync in interface AmazonKinesisAsyncdescribeStreamAsync(DescribeStreamRequest)public Future<DescribeStreamResult> describeStreamAsync(String streamName, AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
describeStreamAsync in interface AmazonKinesisAsyncdescribeStreamAsync(DescribeStreamRequest, com.amazonaws.handlers.AsyncHandler)public Future<DescribeStreamResult> describeStreamAsync(String streamName, String exclusiveStartShardId)
describeStreamAsync in interface AmazonKinesisAsyncdescribeStreamAsync(DescribeStreamRequest)public Future<DescribeStreamResult> describeStreamAsync(String streamName, String exclusiveStartShardId, AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
describeStreamAsync in interface AmazonKinesisAsyncdescribeStreamAsync(DescribeStreamRequest, com.amazonaws.handlers.AsyncHandler)public Future<DescribeStreamResult> describeStreamAsync(String streamName, Integer limit, String exclusiveStartShardId)
describeStreamAsync in interface AmazonKinesisAsyncdescribeStreamAsync(DescribeStreamRequest)public Future<DescribeStreamResult> describeStreamAsync(String streamName, Integer limit, String exclusiveStartShardId, AsyncHandler<DescribeStreamRequest,DescribeStreamResult> asyncHandler)
describeStreamAsync in interface AmazonKinesisAsyncdescribeStreamAsync(DescribeStreamRequest, com.amazonaws.handlers.AsyncHandler)public Future<DescribeStreamConsumerResult> describeStreamConsumerAsync(DescribeStreamConsumerRequest request)
AmazonKinesisAsyncTo get the description of a registered consumer, provide the ARN of the consumer. Alternatively, you can provide the ARN of the data stream and the name you gave the consumer when you registered it. You may also provide all three parameters, as long as they don't conflict with each other. If you don't know the name or ARN of the consumer that you want to describe, you can use the ListStreamConsumers operation to get a list of the descriptions of all the consumers that are currently registered with a given data stream.
This operation has a limit of 20 transactions per second per stream.
describeStreamConsumerAsync in interface AmazonKinesisAsyncpublic Future<DescribeStreamConsumerResult> describeStreamConsumerAsync(DescribeStreamConsumerRequest request, AsyncHandler<DescribeStreamConsumerRequest,DescribeStreamConsumerResult> asyncHandler)
AmazonKinesisAsyncTo get the description of a registered consumer, provide the ARN of the consumer. Alternatively, you can provide the ARN of the data stream and the name you gave the consumer when you registered it. You may also provide all three parameters, as long as they don't conflict with each other. If you don't know the name or ARN of the consumer that you want to describe, you can use the ListStreamConsumers operation to get a list of the descriptions of all the consumers that are currently registered with a given data stream.
This operation has a limit of 20 transactions per second per stream.
describeStreamConsumerAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<DescribeStreamSummaryResult> describeStreamSummaryAsync(DescribeStreamSummaryRequest request)
AmazonKinesisAsyncProvides a summarized description of the specified Kinesis data stream without the shard list.
The information returned includes the stream name, Amazon Resource Name (ARN), status, record retention period, approximate creation time, monitoring, encryption details, and open shard count.
DescribeStreamSummary has a limit of 20 transactions per second per account.
describeStreamSummaryAsync in interface AmazonKinesisAsyncpublic Future<DescribeStreamSummaryResult> describeStreamSummaryAsync(DescribeStreamSummaryRequest request, AsyncHandler<DescribeStreamSummaryRequest,DescribeStreamSummaryResult> asyncHandler)
AmazonKinesisAsyncProvides a summarized description of the specified Kinesis data stream without the shard list.
The information returned includes the stream name, Amazon Resource Name (ARN), status, record retention period, approximate creation time, monitoring, encryption details, and open shard count.
DescribeStreamSummary has a limit of 20 transactions per second per account.
describeStreamSummaryAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<DisableEnhancedMonitoringResult> disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest request)
AmazonKinesisAsyncDisables enhanced monitoring.
disableEnhancedMonitoringAsync in interface AmazonKinesisAsyncrequest - Represents the input for DisableEnhancedMonitoring.public Future<DisableEnhancedMonitoringResult> disableEnhancedMonitoringAsync(DisableEnhancedMonitoringRequest request, AsyncHandler<DisableEnhancedMonitoringRequest,DisableEnhancedMonitoringResult> asyncHandler)
AmazonKinesisAsyncDisables enhanced monitoring.
disableEnhancedMonitoringAsync in interface AmazonKinesisAsyncrequest - 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.public Future<EnableEnhancedMonitoringResult> enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest request)
AmazonKinesisAsyncEnables enhanced Kinesis data stream monitoring for shard-level metrics.
enableEnhancedMonitoringAsync in interface AmazonKinesisAsyncrequest - Represents the input for EnableEnhancedMonitoring.public Future<EnableEnhancedMonitoringResult> enableEnhancedMonitoringAsync(EnableEnhancedMonitoringRequest request, AsyncHandler<EnableEnhancedMonitoringRequest,EnableEnhancedMonitoringResult> asyncHandler)
AmazonKinesisAsyncEnables enhanced Kinesis data stream monitoring for shard-level metrics.
enableEnhancedMonitoringAsync in interface AmazonKinesisAsyncrequest - 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.public Future<GetRecordsResult> getRecordsAsync(GetRecordsRequest request)
AmazonKinesisAsyncGets data records from a Kinesis data 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. 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 Amazon Kinesis Data
Streams Limits in the Amazon Kinesis Data 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. 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 MiB in size, and each shard can read up to 2 MiB 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 maximum number of records that can be returned per call is 10,000.
The size of the data returned by GetRecords varies depending on the utilization of the shard. It is
recommended that consumer applications retrieve records via the GetRecords command using the 5 TPS
limit to remain caught up. Retrieving records less frequently can lead to consumer applications falling behind.
The maximum size of data that GetRecords can return is 10 MiB. 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 stream, subsequent calls made within the next 1 second throw
ProvisionedThroughputExceededException. GetRecords doesn't return any data when it throws an
exception. For this reason, we recommend that you wait 1 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 Data 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 time stamp, whereas a
client-side time stamp 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 time stamp has
millisecond precision. There are no guarantees about the time stamp accuracy, or that the time stamp is always
increasing. For example, records in a shard or across a stream might have time stamps that are out of order.
This operation has a limit of five transactions per second per shard.
getRecordsAsync in interface AmazonKinesisAsyncrequest - Represents the input for GetRecords.public Future<GetRecordsResult> getRecordsAsync(GetRecordsRequest request, AsyncHandler<GetRecordsRequest,GetRecordsResult> asyncHandler)
AmazonKinesisAsyncGets data records from a Kinesis data 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. 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 Amazon Kinesis Data
Streams Limits in the Amazon Kinesis Data 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. 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 MiB in size, and each shard can read up to 2 MiB 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 maximum number of records that can be returned per call is 10,000.
The size of the data returned by GetRecords varies depending on the utilization of the shard. It is
recommended that consumer applications retrieve records via the GetRecords command using the 5 TPS
limit to remain caught up. Retrieving records less frequently can lead to consumer applications falling behind.
The maximum size of data that GetRecords can return is 10 MiB. 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 stream, subsequent calls made within the next 1 second throw
ProvisionedThroughputExceededException. GetRecords doesn't return any data when it throws an
exception. For this reason, we recommend that you wait 1 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 Data 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 time stamp, whereas a
client-side time stamp 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 time stamp has
millisecond precision. There are no guarantees about the time stamp accuracy, or that the time stamp is always
increasing. For example, records in a shard or across a stream might have time stamps that are out of order.
This operation has a limit of five transactions per second per shard.
getRecordsAsync in interface AmazonKinesisAsyncrequest - 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.public Future<GetShardIteratorResult> getShardIteratorAsync(GetShardIteratorRequest request)
AmazonKinesisAsyncGets an Amazon Kinesis shard iterator. A shard iterator expires 5 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. Alternatively, the parameter can read 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 Data Streams Developer Guide.
If the shard is closed, GetShardIterator returns a valid iterator for the last sequence number of the shard. A shard can be closed as a result of using SplitShard or MergeShards.
GetShardIterator has a limit of five transactions per second per account per open shard.
getShardIteratorAsync in interface AmazonKinesisAsyncrequest - Represents the input for GetShardIterator.public Future<GetShardIteratorResult> getShardIteratorAsync(GetShardIteratorRequest request, AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
AmazonKinesisAsyncGets an Amazon Kinesis shard iterator. A shard iterator expires 5 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. Alternatively, the parameter can read 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 Data Streams Developer Guide.
If the shard is closed, GetShardIterator returns a valid iterator for the last sequence number of the shard. A shard can be closed as a result of using SplitShard or MergeShards.
GetShardIterator has a limit of five transactions per second per account per open shard.
getShardIteratorAsync in interface AmazonKinesisAsyncrequest - 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.public Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType)
getShardIteratorAsync in interface AmazonKinesisAsyncgetShardIteratorAsync(GetShardIteratorRequest)public Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType, AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
getShardIteratorAsync in interface AmazonKinesisAsyncgetShardIteratorAsync(GetShardIteratorRequest, com.amazonaws.handlers.AsyncHandler)public Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType, String startingSequenceNumber)
getShardIteratorAsync in interface AmazonKinesisAsyncgetShardIteratorAsync(GetShardIteratorRequest)public Future<GetShardIteratorResult> getShardIteratorAsync(String streamName, String shardId, String shardIteratorType, String startingSequenceNumber, AsyncHandler<GetShardIteratorRequest,GetShardIteratorResult> asyncHandler)
getShardIteratorAsync in interface AmazonKinesisAsyncgetShardIteratorAsync(GetShardIteratorRequest, com.amazonaws.handlers.AsyncHandler)public Future<IncreaseStreamRetentionPeriodResult> increaseStreamRetentionPeriodAsync(IncreaseStreamRetentionPeriodRequest request)
AmazonKinesisAsyncIncreases the Kinesis data 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 8760 hours (365 days).
If you choose a longer stream retention period, this operation increases the time period during which records that have not yet expired are accessible. However, it does not make previous, expired data (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 remains inaccessible to consumer applications.
increaseStreamRetentionPeriodAsync in interface AmazonKinesisAsyncrequest - Represents the input for IncreaseStreamRetentionPeriod.public Future<IncreaseStreamRetentionPeriodResult> increaseStreamRetentionPeriodAsync(IncreaseStreamRetentionPeriodRequest request, AsyncHandler<IncreaseStreamRetentionPeriodRequest,IncreaseStreamRetentionPeriodResult> asyncHandler)
AmazonKinesisAsyncIncreases the Kinesis data 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 8760 hours (365 days).
If you choose a longer stream retention period, this operation increases the time period during which records that have not yet expired are accessible. However, it does not make previous, expired data (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 remains inaccessible to consumer applications.
increaseStreamRetentionPeriodAsync in interface AmazonKinesisAsyncrequest - 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.public Future<ListShardsResult> listShardsAsync(ListShardsRequest request)
AmazonKinesisAsyncLists the shards in a stream and provides information about each shard. This operation has a limit of 1000 transactions per second per data stream.
This action does not list expired shards. For information about expired shards, see Data Routing, Data Persistence, and Shard State after a Reshard.
This API is a new operation that is used by the Amazon Kinesis Client Library (KCL). If you have a fine-grained IAM policy that only allows specific operations, you must update your policy to allow calls to this API. For more information, see Controlling Access to Amazon Kinesis Data Streams Resources Using IAM.
listShardsAsync in interface AmazonKinesisAsyncpublic Future<ListShardsResult> listShardsAsync(ListShardsRequest request, AsyncHandler<ListShardsRequest,ListShardsResult> asyncHandler)
AmazonKinesisAsyncLists the shards in a stream and provides information about each shard. This operation has a limit of 1000 transactions per second per data stream.
This action does not list expired shards. For information about expired shards, see Data Routing, Data Persistence, and Shard State after a Reshard.
This API is a new operation that is used by the Amazon Kinesis Client Library (KCL). If you have a fine-grained IAM policy that only allows specific operations, you must update your policy to allow calls to this API. For more information, see Controlling Access to Amazon Kinesis Data Streams Resources Using IAM.
listShardsAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<ListStreamConsumersResult> listStreamConsumersAsync(ListStreamConsumersRequest request)
AmazonKinesisAsyncLists the consumers registered to receive data from a stream using enhanced fan-out, and provides information about each consumer.
This operation has a limit of 5 transactions per second per stream.
listStreamConsumersAsync in interface AmazonKinesisAsyncpublic Future<ListStreamConsumersResult> listStreamConsumersAsync(ListStreamConsumersRequest request, AsyncHandler<ListStreamConsumersRequest,ListStreamConsumersResult> asyncHandler)
AmazonKinesisAsyncLists the consumers registered to receive data from a stream using enhanced fan-out, and provides information about each consumer.
This operation has a limit of 5 transactions per second per stream.
listStreamConsumersAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<ListStreamsResult> listStreamsAsync(ListStreamsRequest request)
AmazonKinesisAsyncLists your Kinesis data 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, Kinesis Data Streams uses the default limit, which is currently 100.
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 five transactions per second per account.
listStreamsAsync in interface AmazonKinesisAsyncrequest - Represents the input for ListStreams.public Future<ListStreamsResult> listStreamsAsync(ListStreamsRequest request, AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
AmazonKinesisAsyncLists your Kinesis data 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, Kinesis Data Streams uses the default limit, which is currently 100.
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 five transactions per second per account.
listStreamsAsync in interface AmazonKinesisAsyncrequest - 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.public Future<ListStreamsResult> listStreamsAsync()
listStreamsAsync in interface AmazonKinesisAsynclistStreamsAsync(ListStreamsRequest)public Future<ListStreamsResult> listStreamsAsync(AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
listStreamsAsync in interface AmazonKinesisAsynclistStreamsAsync(ListStreamsRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListStreamsResult> listStreamsAsync(String exclusiveStartStreamName)
listStreamsAsync in interface AmazonKinesisAsynclistStreamsAsync(ListStreamsRequest)public Future<ListStreamsResult> listStreamsAsync(String exclusiveStartStreamName, AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
listStreamsAsync in interface AmazonKinesisAsynclistStreamsAsync(ListStreamsRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListStreamsResult> listStreamsAsync(Integer limit, String exclusiveStartStreamName)
listStreamsAsync in interface AmazonKinesisAsynclistStreamsAsync(ListStreamsRequest)public Future<ListStreamsResult> listStreamsAsync(Integer limit, String exclusiveStartStreamName, AsyncHandler<ListStreamsRequest,ListStreamsResult> asyncHandler)
listStreamsAsync in interface AmazonKinesisAsynclistStreamsAsync(ListStreamsRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListTagsForStreamResult> listTagsForStreamAsync(ListTagsForStreamRequest request)
AmazonKinesisAsyncLists the tags for the specified Kinesis data stream. This operation has a limit of five transactions per second per account.
listTagsForStreamAsync in interface AmazonKinesisAsyncrequest - Represents the input for ListTagsForStream.public Future<ListTagsForStreamResult> listTagsForStreamAsync(ListTagsForStreamRequest request, AsyncHandler<ListTagsForStreamRequest,ListTagsForStreamResult> asyncHandler)
AmazonKinesisAsyncLists the tags for the specified Kinesis data stream. This operation has a limit of five transactions per second per account.
listTagsForStreamAsync in interface AmazonKinesisAsyncrequest - 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.public Future<MergeShardsResult> mergeShardsAsync(MergeShardsRequest request)
AmazonKinesisAsyncMerges two adjacent shards in a Kinesis data 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 Data 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 DescribeStreamSummary to check the state of the stream, which is returned in
StreamStatus.
MergeShards is an asynchronous operation. Upon receiving a MergeShards request, Amazon
Kinesis Data Streams immediately returns a response and sets the StreamStatus to
UPDATING. After the operation is completed, Kinesis Data Streams sets the StreamStatus
to ACTIVE. Read and write operations continue to work while the stream is in the
UPDATING state.
You use DescribeStreamSummary and the ListShards APIs 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 receive a LimitExceededException.
MergeShards has a limit of five transactions per second per account.
mergeShardsAsync in interface AmazonKinesisAsyncrequest - Represents the input for MergeShards.public Future<MergeShardsResult> mergeShardsAsync(MergeShardsRequest request, AsyncHandler<MergeShardsRequest,MergeShardsResult> asyncHandler)
AmazonKinesisAsyncMerges two adjacent shards in a Kinesis data 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 Data 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 DescribeStreamSummary to check the state of the stream, which is returned in
StreamStatus.
MergeShards is an asynchronous operation. Upon receiving a MergeShards request, Amazon
Kinesis Data Streams immediately returns a response and sets the StreamStatus to
UPDATING. After the operation is completed, Kinesis Data Streams sets the StreamStatus
to ACTIVE. Read and write operations continue to work while the stream is in the
UPDATING state.
You use DescribeStreamSummary and the ListShards APIs 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 receive a LimitExceededException.
MergeShards has a limit of five transactions per second per account.
mergeShardsAsync in interface AmazonKinesisAsyncrequest - 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.public Future<MergeShardsResult> mergeShardsAsync(String streamName, String shardToMerge, String adjacentShardToMerge)
mergeShardsAsync in interface AmazonKinesisAsyncmergeShardsAsync(MergeShardsRequest)public Future<MergeShardsResult> mergeShardsAsync(String streamName, String shardToMerge, String adjacentShardToMerge, AsyncHandler<MergeShardsRequest,MergeShardsResult> asyncHandler)
mergeShardsAsync in interface AmazonKinesisAsyncmergeShardsAsync(MergeShardsRequest, com.amazonaws.handlers.AsyncHandler)public Future<PutRecordResult> putRecordAsync(PutRecordRequest request)
AmazonKinesisAsync
Writes a single data record into an Amazon Kinesis data 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 MiB 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 Kinesis Data Streams to distribute data across shards. Kinesis Data Streams segregates the data records that belong to a stream into multiple shards, using the partition key associated with each data record to determine the shard to which a given data record belongs.
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 Data 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 Data Streams Developer Guide.
After you write a record to a stream, you cannot modify that record or its order within the stream.
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.
putRecordAsync in interface AmazonKinesisAsyncrequest - Represents the input for PutRecord.public Future<PutRecordResult> putRecordAsync(PutRecordRequest request, AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
AmazonKinesisAsync
Writes a single data record into an Amazon Kinesis data 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 MiB 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 Kinesis Data Streams to distribute data across shards. Kinesis Data Streams segregates the data records that belong to a stream into multiple shards, using the partition key associated with each data record to determine the shard to which a given data record belongs.
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 Data 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 Data Streams Developer Guide.
After you write a record to a stream, you cannot modify that record or its order within the stream.
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.
putRecordAsync in interface AmazonKinesisAsyncrequest - 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.public Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey)
putRecordAsync in interface AmazonKinesisAsyncputRecordAsync(PutRecordRequest)public Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey, AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
putRecordAsync in interface AmazonKinesisAsyncputRecordAsync(PutRecordRequest, com.amazonaws.handlers.AsyncHandler)public Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey, String sequenceNumberForOrdering)
putRecordAsync in interface AmazonKinesisAsyncputRecordAsync(PutRecordRequest)public Future<PutRecordResult> putRecordAsync(String streamName, ByteBuffer data, String partitionKey, String sequenceNumberForOrdering, AsyncHandler<PutRecordRequest,PutRecordResult> asyncHandler)
putRecordAsync in interface AmazonKinesisAsyncputRecordAsync(PutRecordRequest, com.amazonaws.handlers.AsyncHandler)public Future<PutRecordsResult> putRecordsAsync(PutRecordsRequest request)
AmazonKinesisAsync
Writes multiple data records into a Kinesis data 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 MiB, up to a limit of 5 MiB 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 MiB 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 Kinesis Data Streams 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 Data 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 Data 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. Kinesis
Data Streams attempts to process all records in each PutRecords request. A single record failure
does not stop the processing of subsequent records. As a result, PutRecords doesn't guarantee the ordering of
records. If you need to read records in the same order they are written to the stream, use PutRecord
instead of PutRecords, and write to the same shard.
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 Data Streams Developer Guide.
After you write a record to a stream, you cannot modify that record or its order within the stream.
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.
putRecordsAsync in interface AmazonKinesisAsyncrequest - A PutRecords request.public Future<PutRecordsResult> putRecordsAsync(PutRecordsRequest request, AsyncHandler<PutRecordsRequest,PutRecordsResult> asyncHandler)
AmazonKinesisAsync
Writes multiple data records into a Kinesis data 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 MiB, up to a limit of 5 MiB 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 MiB 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 Kinesis Data Streams 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 Data 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 Data 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. Kinesis
Data Streams attempts to process all records in each PutRecords request. A single record failure
does not stop the processing of subsequent records. As a result, PutRecords doesn't guarantee the ordering of
records. If you need to read records in the same order they are written to the stream, use PutRecord
instead of PutRecords, and write to the same shard.
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 Data Streams Developer Guide.
After you write a record to a stream, you cannot modify that record or its order within the stream.
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.
putRecordsAsync in interface AmazonKinesisAsyncrequest - 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.public Future<RegisterStreamConsumerResult> registerStreamConsumerAsync(RegisterStreamConsumerRequest request)
AmazonKinesisAsyncRegisters a consumer with a Kinesis data stream. When you use this operation, the consumer you register can then call SubscribeToShard to receive data from the stream using enhanced fan-out, at a rate of up to 2 MiB per second for every shard you subscribe to. This rate is unaffected by the total number of consumers that read from the same stream.
You can register up to 20 consumers per stream. A given consumer can only be registered with one stream at a time.
For an example of how to use this operations, see Enhanced Fan-Out Using the Kinesis Data Streams API.
The use of this operation has a limit of five transactions per second per account. Also, only 5 consumers can be
created simultaneously. In other words, you cannot have more than 5 consumers in a CREATING status
at the same time. Registering a 6th consumer while there are 5 in a CREATING status results in a
LimitExceededException.
registerStreamConsumerAsync in interface AmazonKinesisAsyncpublic Future<RegisterStreamConsumerResult> registerStreamConsumerAsync(RegisterStreamConsumerRequest request, AsyncHandler<RegisterStreamConsumerRequest,RegisterStreamConsumerResult> asyncHandler)
AmazonKinesisAsyncRegisters a consumer with a Kinesis data stream. When you use this operation, the consumer you register can then call SubscribeToShard to receive data from the stream using enhanced fan-out, at a rate of up to 2 MiB per second for every shard you subscribe to. This rate is unaffected by the total number of consumers that read from the same stream.
You can register up to 20 consumers per stream. A given consumer can only be registered with one stream at a time.
For an example of how to use this operations, see Enhanced Fan-Out Using the Kinesis Data Streams API.
The use of this operation has a limit of five transactions per second per account. Also, only 5 consumers can be
created simultaneously. In other words, you cannot have more than 5 consumers in a CREATING status
at the same time. Registering a 6th consumer while there are 5 in a CREATING status results in a
LimitExceededException.
registerStreamConsumerAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<RemoveTagsFromStreamResult> removeTagsFromStreamAsync(RemoveTagsFromStreamRequest request)
AmazonKinesisAsyncRemoves tags from the specified Kinesis data 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.
RemoveTagsFromStream has a limit of five transactions per second per account.
removeTagsFromStreamAsync in interface AmazonKinesisAsyncrequest - Represents the input for RemoveTagsFromStream.public Future<RemoveTagsFromStreamResult> removeTagsFromStreamAsync(RemoveTagsFromStreamRequest request, AsyncHandler<RemoveTagsFromStreamRequest,RemoveTagsFromStreamResult> asyncHandler)
AmazonKinesisAsyncRemoves tags from the specified Kinesis data 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.
RemoveTagsFromStream has a limit of five transactions per second per account.
removeTagsFromStreamAsync in interface AmazonKinesisAsyncrequest - 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.public Future<SplitShardResult> splitShardAsync(SplitShardRequest request)
AmazonKinesisAsync
Splits a shard into two new shards in the Kinesis data 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 Kinesis Data
Streams 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 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, see Split a Shard in the Amazon Kinesis Data Streams Developer Guide.
You can use DescribeStreamSummary and the ListShards APIs 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, Kinesis
Data Streams immediately returns a response and sets the stream status to UPDATING. After the
operation is completed, Kinesis Data Streams sets the stream status to ACTIVE. Read and write
operations continue to work while the stream is in the UPDATING state.
You can use DescribeStreamSummary 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 the specified stream does not exist, DescribeStreamSummary 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 Amazon Web Services account, see Kinesis Data Streams Limits in the Amazon Kinesis Data Streams Developer Guide. To increase this limit, contact Amazon Web Services Support.
If you try to operate on too many streams simultaneously using CreateStream, DeleteStream,
MergeShards, and/or SplitShard, you receive a LimitExceededException.
SplitShard has a limit of five transactions per second per account.
splitShardAsync in interface AmazonKinesisAsyncrequest - Represents the input for SplitShard.public Future<SplitShardResult> splitShardAsync(SplitShardRequest request, AsyncHandler<SplitShardRequest,SplitShardResult> asyncHandler)
AmazonKinesisAsync
Splits a shard into two new shards in the Kinesis data 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 Kinesis Data
Streams 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 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, see Split a Shard in the Amazon Kinesis Data Streams Developer Guide.
You can use DescribeStreamSummary and the ListShards APIs 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, Kinesis
Data Streams immediately returns a response and sets the stream status to UPDATING. After the
operation is completed, Kinesis Data Streams sets the stream status to ACTIVE. Read and write
operations continue to work while the stream is in the UPDATING state.
You can use DescribeStreamSummary 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 the specified stream does not exist, DescribeStreamSummary 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 Amazon Web Services account, see Kinesis Data Streams Limits in the Amazon Kinesis Data Streams Developer Guide. To increase this limit, contact Amazon Web Services Support.
If you try to operate on too many streams simultaneously using CreateStream, DeleteStream,
MergeShards, and/or SplitShard, you receive a LimitExceededException.
SplitShard has a limit of five transactions per second per account.
splitShardAsync in interface AmazonKinesisAsyncrequest - 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.public Future<SplitShardResult> splitShardAsync(String streamName, String shardToSplit, String newStartingHashKey)
splitShardAsync in interface AmazonKinesisAsyncsplitShardAsync(SplitShardRequest)public Future<SplitShardResult> splitShardAsync(String streamName, String shardToSplit, String newStartingHashKey, AsyncHandler<SplitShardRequest,SplitShardResult> asyncHandler)
splitShardAsync in interface AmazonKinesisAsyncsplitShardAsync(SplitShardRequest, com.amazonaws.handlers.AsyncHandler)public Future<StartStreamEncryptionResult> startStreamEncryptionAsync(StartStreamEncryptionRequest request)
AmazonKinesisAsyncEnables or updates server-side encryption using an Amazon Web Services KMS key for a specified stream.
Starting encryption is an asynchronous operation. Upon receiving the request, Kinesis Data Streams returns
immediately and sets the status of the stream to UPDATING. After the update is complete, Kinesis
Data Streams 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, encryption
begins for records written to the stream.
API Limits: You can successfully apply a new Amazon Web Services 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 enable encryption, you can verify that encryption is applied by inspecting
the API response from PutRecord or PutRecords.
startStreamEncryptionAsync in interface AmazonKinesisAsyncpublic Future<StartStreamEncryptionResult> startStreamEncryptionAsync(StartStreamEncryptionRequest request, AsyncHandler<StartStreamEncryptionRequest,StartStreamEncryptionResult> asyncHandler)
AmazonKinesisAsyncEnables or updates server-side encryption using an Amazon Web Services KMS key for a specified stream.
Starting encryption is an asynchronous operation. Upon receiving the request, Kinesis Data Streams returns
immediately and sets the status of the stream to UPDATING. After the update is complete, Kinesis
Data Streams 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, encryption
begins for records written to the stream.
API Limits: You can successfully apply a new Amazon Web Services 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 enable encryption, you can verify that encryption is applied by inspecting
the API response from PutRecord or PutRecords.
startStreamEncryptionAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<StopStreamEncryptionResult> stopStreamEncryptionAsync(StopStreamEncryptionRequest request)
AmazonKinesisAsyncDisables server-side encryption for a specified stream.
Stopping encryption is an asynchronous operation. Upon receiving the request, Kinesis Data Streams returns
immediately and sets the status of the stream to UPDATING. After the update is complete, Kinesis
Data Streams 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 are no longer encrypted by Kinesis Data Streams.
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 disabled encryption, you can verify that encryption
is not applied by inspecting the API response from PutRecord or PutRecords.
stopStreamEncryptionAsync in interface AmazonKinesisAsyncpublic Future<StopStreamEncryptionResult> stopStreamEncryptionAsync(StopStreamEncryptionRequest request, AsyncHandler<StopStreamEncryptionRequest,StopStreamEncryptionResult> asyncHandler)
AmazonKinesisAsyncDisables server-side encryption for a specified stream.
Stopping encryption is an asynchronous operation. Upon receiving the request, Kinesis Data Streams returns
immediately and sets the status of the stream to UPDATING. After the update is complete, Kinesis
Data Streams 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 are no longer encrypted by Kinesis Data Streams.
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 disabled encryption, you can verify that encryption
is not applied by inspecting the API response from PutRecord or PutRecords.
stopStreamEncryptionAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<UpdateShardCountResult> updateShardCountAsync(UpdateShardCountRequest request)
AmazonKinesisAsyncUpdates 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, Kinesis Data Streams returns
immediately and sets the status of the stream to UPDATING. After the update is complete, Kinesis
Data Streams 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, Kinesis Data Streams performs splits or merges on individual shards. This can cause short-lived shards to be created, in addition to the final shards. These short-lived shards count towards your total shard limit for your account in the Region.
When using this operation, we recommend that you specify a target shard count that is a multiple of 25% (25%, 50%, 75%, 100%). You can specify any target value within your shard limit. However, if you specify a target that isn't a multiple of 25%, the scaling action might take longer to complete.
This operation has the following default limits. By default, you cannot do the following:
Scale more than ten times per rolling 24-hour period per stream
Scale up to more than double your current shard count for a stream
Scale down below half your current shard count for a stream
Scale up to more than 10000 shards in a stream
Scale a stream with more than 10000 shards down unless the result is less than 10000 shards
Scale up to more than the shard limit for your account
For the default limits for an Amazon Web Services account, see Streams Limits in the Amazon Kinesis Data Streams Developer Guide. To request an increase in the call rate limit, the shard limit for this API, or your overall shard limit, use the limits form.
updateShardCountAsync in interface AmazonKinesisAsyncpublic Future<UpdateShardCountResult> updateShardCountAsync(UpdateShardCountRequest request, AsyncHandler<UpdateShardCountRequest,UpdateShardCountResult> asyncHandler)
AmazonKinesisAsyncUpdates 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, Kinesis Data Streams returns
immediately and sets the status of the stream to UPDATING. After the update is complete, Kinesis
Data Streams 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, Kinesis Data Streams performs splits or merges on individual shards. This can cause short-lived shards to be created, in addition to the final shards. These short-lived shards count towards your total shard limit for your account in the Region.
When using this operation, we recommend that you specify a target shard count that is a multiple of 25% (25%, 50%, 75%, 100%). You can specify any target value within your shard limit. However, if you specify a target that isn't a multiple of 25%, the scaling action might take longer to complete.
This operation has the following default limits. By default, you cannot do the following:
Scale more than ten times per rolling 24-hour period per stream
Scale up to more than double your current shard count for a stream
Scale down below half your current shard count for a stream
Scale up to more than 10000 shards in a stream
Scale a stream with more than 10000 shards down unless the result is less than 10000 shards
Scale up to more than the shard limit for your account
For the default limits for an Amazon Web Services account, see Streams Limits in the Amazon Kinesis Data Streams Developer Guide. To request an increase in the call rate limit, the shard limit for this API, or your overall shard limit, use the limits form.
updateShardCountAsync in interface AmazonKinesisAsyncasyncHandler - 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.public Future<UpdateStreamModeResult> updateStreamModeAsync(UpdateStreamModeRequest request)
AmazonKinesisAsyncUpdates the capacity mode of the data stream. Currently, in Kinesis Data Streams, you can choose between an on-demand capacity mode and a provisioned capacity mode for your data stream.
updateStreamModeAsync in interface AmazonKinesisAsyncpublic Future<UpdateStreamModeResult> updateStreamModeAsync(UpdateStreamModeRequest request, AsyncHandler<UpdateStreamModeRequest,UpdateStreamModeResult> asyncHandler)
AmazonKinesisAsyncUpdates the capacity mode of the data stream. Currently, in Kinesis Data Streams, you can choose between an on-demand capacity mode and a provisioned capacity mode for your data stream.
updateStreamModeAsync in interface AmazonKinesisAsyncasyncHandler - 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 © 2022. All rights reserved.