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Copy file name to clipboardExpand all lines: README.md
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# Apache Beam
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[Apache Beam](http://beam.apache.org/) 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 Flink](http://flink.apache.org/), [Apache Spark](http://spark.apache.org/), [Google Cloud Dataflow](http://cloud.google.com/dataflow/), and [Hazelcast Jet](https://jet.hazelcast.org/).
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[Apache Beam](http://beam.apache.org/) 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 Flink](http://flink.apache.org/), [Apache Spark](http://spark.apache.org/), [Google Cloud Dataflow](http://cloud.google.com/dataflow/), and [Hazelcast Jet](https://hazelcast.com/).
Copy file name to clipboardExpand all lines: runners/google-cloud-dataflow-java/worker/src/test/java/org/apache/beam/runners/dataflow/worker/windmill/client/grpc/GrpcCommitWorkStreamTest.java
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importstaticorg.junit.Assert.assertTrue;
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importjava.io.IOException;
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importjava.util.HashMap;
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importjava.util.HashSet;
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importjava.util.Map;
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importjava.util.Set;
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importjava.util.concurrent.CountDownLatch;
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importjava.util.concurrent.ExecutionException;
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