beam

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Published: Aug 3, 2018 License: Apache-2.0, BSD-3-Clause, MIT

README

Apache Beam

Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends, including Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow.

Status

Maven Version PyPI version Build Status Coverage Status

Overview

Beam provides a general approach to expressing embarrassingly parallel data processing pipelines and supports three categories of users, each of which have relatively disparate backgrounds and needs.

  1. End Users: Writing pipelines with an existing SDK, running it on an existing runner. These users want to focus on writing their application logic and have everything else just work.
  2. SDK Writers: Developing a Beam SDK targeted at a specific user community (Java, Python, Scala, Go, R, graphical, etc). These users are language geeks, and would prefer to be shielded from all the details of various runners and their implementations.
  3. Runner Writers: Have an execution environment for distributed processing and would like to support programs written against the Beam Model. Would prefer to be shielded from details of multiple SDKs.
The Beam Model

The model behind Beam evolved from a number of internal Google data processing projects, including MapReduce, FlumeJava, and Millwheel. This model was originally known as the “Dataflow Model”.

To learn more about the Beam Model (though still under the original name of Dataflow), see the World Beyond Batch: Streaming 101 and Streaming 102 posts on O’Reilly’s Radar site, and the VLDB 2015 paper.

The key concepts in the Beam programming model are:

  • PCollection: represents a collection of data, which could be bounded or unbounded in size.
  • PTransform: represents a computation that transforms input PCollections into output PCollections.
  • Pipeline: manages a directed acyclic graph of PTransforms and PCollections that is ready for execution.
  • PipelineRunner: specifies where and how the pipeline should execute.
SDKs

Beam supports multiple language specific SDKs for writing pipelines against the Beam Model.

Currently, this repository contains SDKs for Java, Python and Go.

Have ideas for new SDKs or DSLs? See the JIRA.

Runners

Beam supports executing programs on multiple distributed processing backends through PipelineRunners. Currently, the following PipelineRunners are available:

  • The DirectRunner runs the pipeline on your local machine.
  • The ApexRunner runs the pipeline on an Apache Hadoop YARN cluster (or in embedded mode).
  • The DataflowRunner submits the pipeline to the Google Cloud Dataflow.
  • The FlinkRunner runs the pipeline on an Apache Flink cluster. The code has been donated from dataArtisans/flink-dataflow and is now part of Beam.
  • The SparkRunner runs the pipeline on an Apache Spark cluster. The code has been donated from cloudera/spark-dataflow and is now part of Beam.

Have ideas for new Runners? See the JIRA.

Getting Started

Please refer to the Quickstart[Java, Python, Go] available on our website.

If you'd like to build and install the whole project from the source distribution, you may need some additional tools installed in your system. In a Debian-based distribution:

sudo apt-get install \
    openjdk-8-jdk \
    python-setuptools \
    python-pip \
    virtualenv

Then please use the standard ./gradlew build command.

Spark Runner

See the Spark Runner README.

Contact Us

To get involved in Apache Beam:

We also have a contributor's guide.

More Information

Directories

Path Synopsis
runners
gcp/gcemd
gcemd is a metadata-configured provisioning server for GCE.
gcemd is a metadata-configured provisioning server for GCE.
gcp/gcsproxy
gcsproxy is an artifact server backed by GCS and can run in either retrieval (read) or staging (write) mode.
gcsproxy is an artifact server backed by GCS and can run in either retrieval (read) or staging (write) mode.
sdks
go/cmd/beamctl
beamctl is a command line client for the Apache Beam portability services.
beamctl is a command line client for the Apache Beam portability services.
go/cmd/beamctl/cmd
Package cmd contains the commands for beamctl.
Package cmd contains the commands for beamctl.
go/cmd/specialize
specialize is a low-level tool to generate type-specialized code.
specialize is a low-level tool to generate type-specialized code.
go/cmd/symtab
Package verifies that functions sym2addr and addr2sym work correctly.
Package verifies that functions sym2addr and addr2sym work correctly.
go/examples/cookbook/tornadoes
tornadoes is an example that reads the public samples of weather data from BigQuery, counts the number of tornadoes that occur in each month, and writes the results to BigQuery.
tornadoes is an example that reads the public samples of weather data from BigQuery, counts the number of tornadoes that occur in each month, and writes the results to BigQuery.
go/examples/debugging_wordcount
debugging_wordcount is an example that verifies word counts in Shakespeare and includes Beam best practices.
debugging_wordcount is an example that verifies word counts in Shakespeare and includes Beam best practices.
go/examples/forest
forest is an example that shows that pipeline construction is normal Go code -- the pipeline "forest" is created recursively and uses a global variable -- and that a pipeline may contain non-connected parts.
forest is an example that shows that pipeline construction is normal Go code -- the pipeline "forest" is created recursively and uses a global variable -- and that a pipeline may contain non-connected parts.
go/examples/minimal_wordcount
minimal_wordcount is an example that counts words in Shakespeare.
minimal_wordcount is an example that counts words in Shakespeare.
go/examples/multiout
multiout is a wordcount variation that uses a multi-outout DoFn and writes 2 output files.
multiout is a wordcount variation that uses a multi-outout DoFn and writes 2 output files.
go/examples/streaming_wordcap
streaming_wordcap is a toy streaming pipeline that uses PubSub.
streaming_wordcap is a toy streaming pipeline that uses PubSub.
go/examples/windowed_wordcount
windowed_wordcount counts words in text, and can run over either unbounded or bounded input collections.
windowed_wordcount counts words in text, and can run over either unbounded or bounded input collections.
go/examples/wordcount
wordcount is an example that counts words in Shakespeare and includes Beam best practices.
wordcount is an example that counts words in Shakespeare and includes Beam best practices.
go/examples/yatzy
yatzy is an implementation of https://en.wikipedia.org/wiki/Yatzy that shows that pipeline construction is normal Go code.
yatzy is an implementation of https://en.wikipedia.org/wiki/Yatzy that shows that pipeline construction is normal Go code.
go/pkg/beam
Package beam is an implementation of the Apache Beam (https://beam.apache.org) programming model in Go.
Package beam is an implementation of the Apache Beam (https://beam.apache.org) programming model in Go.
go/pkg/beam/artifact
Package artifact contains utilities for staging and retrieving artifacts.
Package artifact contains utilities for staging and retrieving artifacts.
go/pkg/beam/artifact/gcsproxy
Package gcsproxy contains artifact staging and retrieval servers backed by GCS.
Package gcsproxy contains artifact staging and retrieval servers backed by GCS.
go/pkg/beam/core/funcx
Package funcx contains functions and types used to perform type analysis of Beam functions.
Package funcx contains functions and types used to perform type analysis of Beam functions.
go/pkg/beam/core/graph
Package graph is the internal representation of the Beam execution plan.
Package graph is the internal representation of the Beam execution plan.
go/pkg/beam/core/graph/coder
Package coder contains coder representation and utilities.
Package coder contains coder representation and utilities.
go/pkg/beam/core/graph/mtime
Package mtime contains a millisecond representation of time.
Package mtime contains a millisecond representation of time.
go/pkg/beam/core/graph/window
Package window contains window representation, windowing strategies and utilities.
Package window contains window representation, windowing strategies and utilities.
go/pkg/beam/core/metrics
Package metrics implements the Beam metrics API, described at http://s.apache.org/beam-metrics-api Metrics in the Beam model are uniquely identified by a namespace, a name, and the PTransform context in which they are used.
Package metrics implements the Beam metrics API, described at http://s.apache.org/beam-metrics-api Metrics in the Beam model are uniquely identified by a namespace, a name, and the PTransform context in which they are used.
go/pkg/beam/core/runtime
Package runtime contains runtime hooks and utilities for pipeline options and type registration.
Package runtime contains runtime hooks and utilities for pipeline options and type registration.
go/pkg/beam/core/runtime/coderx
Package coderx contains primitive coders.
Package coderx contains primitive coders.
go/pkg/beam/core/runtime/exec
Package exec contains runtime plan representation and execution.
Package exec contains runtime plan representation and execution.
go/pkg/beam/core/runtime/exec/optimized
Package optimized contains type-specialized shims for faster execution.
Package optimized contains type-specialized shims for faster execution.
go/pkg/beam/core/runtime/graphx
Package graphx provides facilities to help with the serialization of pipelines into a serializable graph structure suitable for the worker.
Package graphx provides facilities to help with the serialization of pipelines into a serializable graph structure suitable for the worker.
go/pkg/beam/core/runtime/graphx/v1
Package v1 is a generated protocol buffer package.
Package v1 is a generated protocol buffer package.
go/pkg/beam/core/runtime/harness
Package harness implements the SDK side of the Beam FnAPI.
Package harness implements the SDK side of the Beam FnAPI.
go/pkg/beam/core/runtime/harness/init
Package init contains the harness initialization code defined by the FnAPI.
Package init contains the harness initialization code defined by the FnAPI.
go/pkg/beam/core/runtime/harness/session
Package session is a generated protocol buffer package.
Package session is a generated protocol buffer package.
go/pkg/beam/core/typex
Package typex contains full type representation and utilities for type checking.
Package typex contains full type representation and utilities for type checking.
go/pkg/beam/core/util/dot
Package dot produces DOT graphs from Beam graph representations.
Package dot produces DOT graphs from Beam graph representations.
go/pkg/beam/core/util/hooks
Package hooks allows runners to tailor execution of the worker harness.
Package hooks allows runners to tailor execution of the worker harness.
go/pkg/beam/core/util/ioutilx
Package ioutilx contains additional io utilities.
Package ioutilx contains additional io utilities.
go/pkg/beam/core/util/protox
Package protox contains utilities for working with protobufs.
Package protox contains utilities for working with protobufs.
go/pkg/beam/core/util/reflectx
Package reflectx contains a set of reflection utilities and well-known types.
Package reflectx contains a set of reflection utilities and well-known types.
go/pkg/beam/core/util/stringx
Package stringx contains utilities for working with strings.
Package stringx contains utilities for working with strings.
go/pkg/beam/core/util/symtab
Package symtab allows reading low-level symbol information from the symbol table.
Package symtab allows reading low-level symbol information from the symbol table.
go/pkg/beam/io/bigqueryio
Package bigqueryio provides transformations and utilities to interact with Google BigQuery.
Package bigqueryio provides transformations and utilities to interact with Google BigQuery.
go/pkg/beam/io/datastoreio
Package datastoreio provides transformations and utilities to interact with Google Datastore.
Package datastoreio provides transformations and utilities to interact with Google Datastore.
go/pkg/beam/io/filesystem
Package filesystem contains an extensible file system abstraction.
Package filesystem contains an extensible file system abstraction.
go/pkg/beam/io/filesystem/gcs
Package gcs contains a Google Cloud Storage (GCS) implementation of the Beam file system.
Package gcs contains a Google Cloud Storage (GCS) implementation of the Beam file system.
go/pkg/beam/io/filesystem/local
Package local contains a local file implementation of the Beam file system.
Package local contains a local file implementation of the Beam file system.
go/pkg/beam/io/filesystem/memfs
Package memfs contains a in-memory Beam filesystem.
Package memfs contains a in-memory Beam filesystem.
go/pkg/beam/io/pubsubio
Package pubsubio provides access to PubSub on Dataflow streaming.
Package pubsubio provides access to PubSub on Dataflow streaming.
go/pkg/beam/io/pubsubio/v1
Package v1 is a generated protocol buffer package.
Package v1 is a generated protocol buffer package.
go/pkg/beam/io/textio
Package textio contains transforms for reading and writing text files.
Package textio contains transforms for reading and writing text files.
go/pkg/beam/log
Package log contains a re-targetable context-aware logging system.
Package log contains a re-targetable context-aware logging system.
go/pkg/beam/model
Package model contains the portable Beam model contracts.
Package model contains the portable Beam model contracts.
go/pkg/beam/options/gcpopts
Package gcpopts contains shared options for Google Cloud Platform.
Package gcpopts contains shared options for Google Cloud Platform.
go/pkg/beam/options/jobopts
Package jobopts contains shared options for job submission.
Package jobopts contains shared options for job submission.
go/pkg/beam/provision
Package provision contains utilities for obtaining runtime provision, information -- such as pipeline options.
Package provision contains utilities for obtaining runtime provision, information -- such as pipeline options.
go/pkg/beam/runners/dataflow
Package dataflow contains the Dataflow runner for submitting pipelines to Google Cloud Dataflow.
Package dataflow contains the Dataflow runner for submitting pipelines to Google Cloud Dataflow.
go/pkg/beam/runners/direct
Package direct contains the direct runner for running single-bundle pipelines in the current process.
Package direct contains the direct runner for running single-bundle pipelines in the current process.
go/pkg/beam/runners/dot
Package dot is a Beam runner that "runs" a pipeline by producing a DOT graph of the execution plan.
Package dot is a Beam runner that "runs" a pipeline by producing a DOT graph of the execution plan.
go/pkg/beam/runners/flink
Package flink contains the Flink runner.
Package flink contains the Flink runner.
go/pkg/beam/runners/universal
Package universal contains a general-purpose runner that can submit jobs to any portable Beam runner.
Package universal contains a general-purpose runner that can submit jobs to any portable Beam runner.
go/pkg/beam/runners/universal/runnerlib
Package runnerlib contains utilities for submitting Go pipelines to a Beam model runner.
Package runnerlib contains utilities for submitting Go pipelines to a Beam model runner.
go/pkg/beam/testing/passert
Package passert contains verification transformations for testing pipelines.
Package passert contains verification transformations for testing pipelines.
go/pkg/beam/testing/ptest
Package ptest contains utilities for pipeline unit testing.
Package ptest contains utilities for pipeline unit testing.
go/pkg/beam/transforms/filter
Package filter contains transformations for removing pipeline elements based on various conditions.
Package filter contains transformations for removing pipeline elements based on various conditions.
go/pkg/beam/transforms/stats
Pacakge stats contains transforms for statistical processing.
Pacakge stats contains transforms for statistical processing.
go/pkg/beam/transforms/top
Package top contains transformations for finding the smallest (or largest) N elements based on arbitrary orderings.
Package top contains transformations for finding the smallest (or largest) N elements based on arbitrary orderings.
go/pkg/beam/util/errorx
Package errorx contains utilities for handling errors.
Package errorx contains utilities for handling errors.
go/pkg/beam/util/execx
Package execx contains wrappers and utilities for the exec package.
Package execx contains wrappers and utilities for the exec package.
go/pkg/beam/util/gcsx
Package gcsx contains utilities for working with Google Cloud Storage (GCS).
Package gcsx contains utilities for working with Google Cloud Storage (GCS).
go/pkg/beam/util/grpcx
Package grpcx contains utilities for working with gRPC.
Package grpcx contains utilities for working with gRPC.
go/pkg/beam/util/pubsubx
Package pubsubx contains utilities for working with Google PubSub.
Package pubsubx contains utilities for working with Google PubSub.
go/pkg/beam/util/syscallx
Package syscallx provides system call utilities that attempt to hide platform differences.
Package syscallx provides system call utilities that attempt to hide platform differences.
go/pkg/beam/x/beamx
Package beamx is a convenience package for beam.
Package beamx is a convenience package for beam.
go/pkg/beam/x/hooks/perf
Package perf is to add performance measuring hooks to a runner, such as cpu, or trace profiles.
Package perf is to add performance measuring hooks to a runner, such as cpu, or trace profiles.
go/test/integration
The integration driver provides a suite of tests to run against a registered runner.
The integration driver provides a suite of tests to run against a registered runner.
go/test/integration/wordcount
Package wordcount contains transforms for wordcount.
Package wordcount contains transforms for wordcount.
go/test/regression
Package regression contains pipeline regression tests.
Package regression contains pipeline regression tests.
java/container
boot is the boot code for the Java SDK harness container.
boot is the boot code for the Java SDK harness container.
python/container
boot is the boot code for the Python SDK harness container.
boot is the boot code for the Python SDK harness container.

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