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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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,
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* See the License for the specific language governing permissions and
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package org.apache.beam.learning.katas.coretransforms.partition;
import org.apache.beam.learning.katas.util.Log;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.transforms.Create;
import org.apache.beam.sdk.transforms.Partition;
import org.apache.beam.sdk.transforms.Partition.PartitionFn;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.PCollectionList;
public class Task {
public static void main(String[] args) {
PipelineOptions options = PipelineOptionsFactory.fromArgs(args).create();
Pipeline pipeline = Pipeline.create(options);
PCollection<Integer> numbers =
pipeline.apply(
Create.of(1, 2, 3, 4, 5, 100, 110, 150, 250)
);
PCollectionList<Integer> partition = applyTransform(numbers);
partition.get(0).apply(Log.ofElements("Number > 100: "));
partition.get(1).apply(Log.ofElements("Number <= 100: "));
pipeline.run();
}
static PCollectionList<Integer> applyTransform(PCollection<Integer> input) {
return input
.apply(Partition.of(2,
(PartitionFn<Integer>) (number, numPartitions) -> {
if (number > 100) {
return 0;
} else {
return 1;
}
}));
}
}