| /** |
| * 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, |
| * 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. |
| */ |
| package org.apache.crunch; |
| |
| import com.google.common.collect.Iterables; |
| import org.apache.crunch.fn.Aggregators; |
| import org.apache.crunch.impl.mr.MRPipeline; |
| import org.apache.crunch.impl.spark.SparkPipeline; |
| import org.apache.crunch.io.From; |
| import org.apache.crunch.test.TemporaryPath; |
| import org.apache.crunch.types.writable.Writables; |
| import org.junit.Rule; |
| import org.junit.Test; |
| |
| import static org.junit.Assert.assertFalse; |
| import static org.junit.Assert.assertTrue; |
| |
| public class SparkEmptyPCollectionIT { |
| private static class SplitFn extends DoFn<String, Pair<String, Long>> { |
| @Override |
| public void process(String input, Emitter<Pair<String, Long>> emitter) { |
| for (String word : input.split("\\s+")) { |
| emitter.emit(Pair.of(word, 1L)); |
| } |
| } |
| } |
| |
| @Rule |
| public TemporaryPath tempDir = new TemporaryPath(); |
| |
| @Test |
| public void testEmptyMR() throws Exception { |
| Pipeline p = new SparkPipeline("local", "empty"); |
| assertTrue(Iterables.isEmpty(p.emptyPCollection(Writables.strings()) |
| .parallelDo(new SplitFn(), Writables.tableOf(Writables.strings(), Writables.longs())) |
| .groupByKey() |
| .combineValues(Aggregators.SUM_LONGS()) |
| .materialize())); |
| p.done(); |
| } |
| |
| @Test |
| public void testUnionWithEmptyMR() throws Exception { |
| Pipeline p = new SparkPipeline("local", "empty"); |
| assertFalse(Iterables.isEmpty(p.emptyPCollection(Writables.strings()) |
| .parallelDo(new SplitFn(), Writables.tableOf(Writables.strings(), Writables.longs())) |
| .union( |
| p.read(From.textFile(tempDir.copyResourceFileName("shakes.txt"))) |
| .parallelDo(new SplitFn(), Writables.tableOf(Writables.strings(), Writables.longs()))) |
| .groupByKey() |
| .combineValues(Aggregators.SUM_LONGS()) |
| .materialize())); |
| p.done(); |
| } |
| |
| @Test |
| public void testUnionTableWithEmptyMR() throws Exception { |
| Pipeline p = new SparkPipeline("local", "empty"); |
| assertFalse(Iterables.isEmpty(p.emptyPTable(Writables.tableOf(Writables.strings(), Writables.longs())) |
| .union( |
| p.read(From.textFile(tempDir.copyResourceFileName("shakes.txt"))) |
| .parallelDo(new SplitFn(), Writables.tableOf(Writables.strings(), Writables.longs()))) |
| .groupByKey() |
| .combineValues(Aggregators.SUM_LONGS()) |
| .materialize())); |
| p.done(); |
| } |
| } |