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Demonstrate new lambda-friendly transforms in MinimalWordCount
Java 8 lambda enables some more concise expression of word count via Filter, MapElements, and FlatMapElements transforms. This change adds a Java 8 profile to our examples module and includes in it a concise version of the MinimalWordCount example. The Java 7 MinimalWordCount example is also updated to reflect the use of these transforms without a lambda. ----Release Notes---- [] ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=103782162
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68 changes: 68 additions & 0 deletions
68
examples/src/main/java8/com/google/cloud/dataflow/examples/MinimalWordCountJava8.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,68 @@ | ||
| /* | ||
| * Copyright (C) 2015 Google Inc. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); you may not | ||
| * use this file except in compliance with the License. You may obtain a copy of | ||
| * the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT | ||
| * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the | ||
| * License for the specific language governing permissions and limitations under | ||
| * the License. | ||
| */ | ||
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| package com.google.cloud.dataflow.examples; | ||
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| import com.google.cloud.dataflow.sdk.Pipeline; | ||
| import com.google.cloud.dataflow.sdk.io.TextIO; | ||
| import com.google.cloud.dataflow.sdk.options.DataflowPipelineOptions; | ||
| import com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory; | ||
| import com.google.cloud.dataflow.sdk.runners.BlockingDataflowPipelineRunner; | ||
| import com.google.cloud.dataflow.sdk.transforms.Count; | ||
| import com.google.cloud.dataflow.sdk.transforms.Filter; | ||
| import com.google.cloud.dataflow.sdk.transforms.FlatMapElements; | ||
| import com.google.cloud.dataflow.sdk.transforms.MapElements; | ||
| import com.google.cloud.dataflow.sdk.values.KV; | ||
| import com.google.cloud.dataflow.sdk.values.TypeDescriptor; | ||
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| import java.util.Arrays; | ||
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| /** | ||
| * An example that counts words in Shakespeare, using Java 8 language features. | ||
| * | ||
| * <p>See {@link MinimalWordCount} for a comprehensive explanation. | ||
| */ | ||
| public class MinimalWordCountJava8 { | ||
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| public static void main(String[] args) { | ||
| DataflowPipelineOptions options = PipelineOptionsFactory.create() | ||
| .as(DataflowPipelineOptions.class); | ||
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| options.setRunner(BlockingDataflowPipelineRunner.class); | ||
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| // CHANGE 1 of 3: Your project ID is required in order to run your pipeline on the Google Cloud. | ||
| options.setProject("SET_YOUR_PROJECT_ID_HERE"); | ||
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| // CHANGE 2 of 3: Your Google Cloud Storage path is required for staging local files. | ||
| options.setStagingLocation("gs://SET_YOUR_BUCKET_NAME_HERE/AND_STAGING_DIRECTORY"); | ||
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| Pipeline p = Pipeline.create(options); | ||
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| p.apply(TextIO.Read.from("gs://dataflow-samples/shakespeare/*")) | ||
| .apply(FlatMapElements.via((String word) -> Arrays.asList(word.split("[^a-zA-Z']+"))) | ||
| .withOutputType(new TypeDescriptor<String>() {})) | ||
| .apply(Filter.byPredicate((String word) -> !word.isEmpty())) | ||
| .apply(Count.<String>perElement()) | ||
| .apply(MapElements | ||
| .via((KV<String, Long> wordCount) -> wordCount.getKey() + ": " + wordCount.getValue()) | ||
| .withOutputType(new TypeDescriptor<String>() {})) | ||
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| // CHANGE 3 of 3: The Google Cloud Storage path is required for outputting the results to. | ||
| .apply(TextIO.Write.to("gs://YOUR_OUTPUT_BUCKET/AND_OUTPUT_PREFIX")); | ||
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| p.run(); | ||
| } | ||
| } |
60 changes: 60 additions & 0 deletions
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examples/src/test/java8/com/google/cloud/dataflow/examples/MinimalWordCountJava8Test.java
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,60 @@ | ||
| /* | ||
| * Copyright (C) 2015 Google Inc. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); you may not | ||
| * use this file except in compliance with the License. You may obtain a copy of | ||
| * the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT | ||
| * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the | ||
| * License for the specific language governing permissions and limitations under | ||
| * the License. | ||
| */ | ||
|
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| package com.google.cloud.dataflow.examples; | ||
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| import com.google.cloud.dataflow.sdk.Pipeline; | ||
| import com.google.cloud.dataflow.sdk.io.TextIO; | ||
| import com.google.cloud.dataflow.sdk.testing.TestPipeline; | ||
| import com.google.cloud.dataflow.sdk.transforms.Count; | ||
| import com.google.cloud.dataflow.sdk.transforms.Filter; | ||
| import com.google.cloud.dataflow.sdk.transforms.FlatMapElements; | ||
| import com.google.cloud.dataflow.sdk.transforms.MapElements; | ||
| import com.google.cloud.dataflow.sdk.values.KV; | ||
| import com.google.cloud.dataflow.sdk.values.TypeDescriptor; | ||
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| import org.junit.Test; | ||
| import org.junit.runner.RunWith; | ||
| import org.junit.runners.JUnit4; | ||
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| import java.io.Serializable; | ||
| import java.util.Arrays; | ||
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| /** | ||
| * To keep {@link MinimalWordCountJava8} simple, it is not factored or testable. This test | ||
| * file should be maintained with a copy of its code for a basic smoke test. | ||
| */ | ||
| @RunWith(JUnit4.class) | ||
| public class MinimalWordCountJava8Test implements Serializable { | ||
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| /** | ||
| * A basic smoke test that ensures there is no crash at pipeline construction time. | ||
| */ | ||
| @Test | ||
| public void testMinimalWordCountJava8() { | ||
| Pipeline p = TestPipeline.create(); | ||
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| p.apply(TextIO.Read.from("gs://dataflow-samples/shakespeare/*")) | ||
| .apply(FlatMapElements.via((String word) -> Arrays.asList(word.split("[^a-zA-Z']+"))) | ||
| .withOutputType(new TypeDescriptor<String>() {})) | ||
| .apply(Filter.byPredicate((String word) -> !word.isEmpty())) | ||
| .apply(Count.<String>perElement()) | ||
| .apply(MapElements | ||
| .via((KV<String, Long> wordCount) -> wordCount.getKey() + ": " + wordCount.getValue()) | ||
| .withOutputType(new TypeDescriptor<String>() {})) | ||
| .apply(TextIO.Write.to("gs://YOUR_OUTPUT_BUCKET/AND_OUTPUT_PREFIX")); | ||
| } | ||
| } |