apache_beam.io.kinesis module¶
PTransforms for supporting Kinesis streaming in Python pipelines.
These transforms are currently supported by Beam Flink and Spark portable runners.
Setup
Transforms provided in this module are cross-language transforms implemented in the Beam Java SDK. During the pipeline construction, Python SDK will connect to a Java expansion service to expand these transforms. To facilitate this, a small amount of setup is needed before using these transforms in a Beam Python pipeline.
There are several ways to setup cross-language Kinesis transforms.
- Option 1: use the default expansion service
- Option 2: specify a custom expansion service
See below for details regarding each of these options.
Option 1: Use the default expansion service
This is the recommended and easiest setup option for using Python Kinesis transforms. This option is only available for Beam 2.25.0 and later.
This option requires following pre-requisites before running the Beam pipeline.
- Install Java runtime in the computer from where the pipeline is constructed and make sure that ‘java’ command is available.
In this option, Python SDK will either download (for released Beam version) or build (when running from a Beam Git clone) a expansion service jar and use that to expand transforms. Currently Kinesis transforms use the ‘beam-sdks-java-io-kinesis-expansion-service’ jar for this purpose.
Option 2: specify a custom expansion service
In this option, you startup your own expansion service and provide that as a parameter when using the transforms provided in this module.
This option requires following pre-requisites before running the Beam pipeline.
- Startup your own expansion service.
- Update your pipeline to provide the expansion service address when initiating Kinesis transforms provided in this module.
Flink Users can use the built-in Expansion Service of the Flink Runner’s Job Server. If you start Flink’s Job Server, the expansion service will be started on port 8097. For a different address, please set the expansion_service parameter.
More information
For more information regarding cross-language transforms see: - https://beam.apache.org/roadmap/portability/
For more information specific to Flink runner see: - https://beam.apache.org/documentation/runners/flink/
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class
apache_beam.io.kinesis.WriteToKinesis(stream_name, aws_access_key, aws_secret_key, region, partition_key, service_endpoint=None, verify_certificate=None, producer_properties=None, expansion_service=None)[source]¶ Bases:
apache_beam.transforms.external.ExternalTransformAn external PTransform which writes byte array stream to Amazon Kinesis.
Experimental; no backwards compatibility guarantees.
Initializes a write operation to Kinesis.
Parameters: - stream_name – Kinesis stream name.
- aws_access_key – Kinesis access key.
- aws_secret_key – Kinesis access key secret.
- region – AWS region. Example: ‘us-east-1’.
- service_endpoint – Kinesis service endpoint
- verify_certificate – Enable or disable certificate verification. Never set to False on production. True by default.
- partition_key – Specify default partition key.
- producer_properties – Specify the configuration properties for Kinesis Producer Library (KPL) as dictionary. Example: {‘CollectionMaxCount’: ‘1000’, ‘ConnectTimeout’: ‘10000’}
- expansion_service – The address (host:port) of the ExpansionService.
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URN= 'beam:external:java:kinesis:write:v1'¶
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class
apache_beam.io.kinesis.ReadDataFromKinesis(stream_name, aws_access_key, aws_secret_key, region, service_endpoint=None, verify_certificate=None, max_num_records=None, max_read_time=None, initial_position_in_stream=None, initial_timestamp_in_stream=None, request_records_limit=None, up_to_date_threshold=None, max_capacity_per_shard=None, watermark_policy=None, watermark_idle_duration_threshold=None, rate_limit=None, expansion_service=None)[source]¶ Bases:
apache_beam.transforms.external.ExternalTransformAn external PTransform which reads byte array stream from Amazon Kinesis.
Experimental; no backwards compatibility guarantees.
Initializes a read operation from Kinesis.
Parameters: - stream_name – Kinesis stream name.
- aws_access_key – Kinesis access key.
- aws_secret_key – Kinesis access key secret.
- region – AWS region. Example: ‘us-east-1’.
- service_endpoint – Kinesis service endpoint
- verify_certificate – Enable or disable certificate verification. Never set to False on production. True by default.
- max_num_records – Specifies to read at most a given number of records. Must be greater than 0.
- max_read_time – Specifies to read records during x milliseconds.
- initial_timestamp_in_stream – Specify reading beginning at the given timestamp in milliseconds. Must be in the past.
- initial_position_in_stream – Specify reading from some initial position in stream. Possible values: LATEST - Start after the most recent data record (fetch new data). TRIM_HORIZON - Start from the oldest available data record. AT_TIMESTAMP - Start from the record at or after the specified server-side timestamp.
- request_records_limit – Specifies the maximum number of records in GetRecordsResult returned by GetRecords call which is limited by 10K records. If should be adjusted according to average size of data record to prevent shard overloading. More at: docs.aws.amazon.com/kinesis/latest/APIReference/API_GetRecords.html
- up_to_date_threshold – Specifies how late in milliseconds records consumed by this source can be to still be considered on time. Defaults to zero.
- max_capacity_per_shard – Specifies the maximum number of messages per one shard. Defaults to 10’000.
- watermark_policy – Specifies the watermark policy. Possible values: PROCESSING_TYPE, ARRIVAL_TIME. Defaults to ARRIVAL_TIME.
- watermark_idle_duration_threshold – Use only when watermark policy is ARRIVAL_TIME. Denotes the duration for which the watermark can be idle. Passed in milliseconds.
- rate_limit – Sets fixed rate policy for given milliseconds value. By default there is no rate limit.
- expansion_service – The address (host:port) of the ExpansionService.
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URN= 'beam:external:java:kinesis:read_data:v1'¶