| /* |
| * 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.flink.test.operators; |
| |
| import org.apache.flink.api.common.functions.MapFunction; |
| import org.apache.flink.api.common.functions.RichMapFunction; |
| import org.apache.flink.api.java.DataSet; |
| import org.apache.flink.api.java.ExecutionEnvironment; |
| import org.apache.flink.api.java.functions.KeySelector; |
| import org.apache.flink.api.java.tuple.Tuple1; |
| import org.apache.flink.api.java.tuple.Tuple2; |
| import org.apache.flink.api.java.tuple.Tuple3; |
| import org.apache.flink.api.java.tuple.Tuple5; |
| import org.apache.flink.test.operators.util.CollectionDataSets; |
| import org.apache.flink.test.operators.util.CollectionDataSets.CustomType; |
| import org.apache.flink.test.operators.util.CollectionDataSets.POJO; |
| import org.apache.flink.test.util.MultipleProgramsTestBase; |
| |
| import org.junit.Test; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.Parameterized; |
| |
| import java.util.List; |
| |
| /** Integration tests for {@link DataSet#distinct}. */ |
| @SuppressWarnings("serial") |
| @RunWith(Parameterized.class) |
| public class DistinctITCase extends MultipleProgramsTestBase { |
| |
| public DistinctITCase(TestExecutionMode mode) { |
| super(mode); |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnTuplesWithKeyFieldSelector() throws Exception { |
| /* |
| * check correctness of distinct on tuples with key field selector |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.getSmall3TupleDataSet(env); |
| DataSet<Tuple3<Integer, Long, String>> distinctDs = ds.union(ds).distinct(0, 1, 2); |
| |
| List<Tuple3<Integer, Long, String>> result = distinctDs.collect(); |
| |
| String expected = "1,1,Hi\n" + "2,2,Hello\n" + "3,2,Hello world\n"; |
| |
| compareResultAsTuples(result, expected); |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnTuplesWithKeyFieldSelectorWithNotAllFieldsSelected() |
| throws Exception { |
| /* |
| * check correctness of distinct on tuples with key field selector with not all fields selected |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<Tuple5<Integer, Long, Integer, String, Long>> ds = |
| CollectionDataSets.getSmall5TupleDataSet(env); |
| DataSet<Tuple1<Integer>> distinctDs = ds.union(ds).distinct(0).project(0); |
| |
| List<Tuple1<Integer>> result = distinctDs.collect(); |
| |
| String expected = "1\n" + "2\n"; |
| |
| compareResultAsTuples(result, expected); |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnTuplesWithKeyExtractorFunction() throws Exception { |
| /* |
| * check correctness of distinct on tuples with key extractor function |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<Tuple5<Integer, Long, Integer, String, Long>> ds = |
| CollectionDataSets.getSmall5TupleDataSet(env); |
| DataSet<Tuple1<Integer>> reduceDs = ds.union(ds).distinct(new KeySelector1()).project(0); |
| |
| List<Tuple1<Integer>> result = reduceDs.collect(); |
| |
| String expected = "1\n" + "2\n"; |
| |
| compareResultAsTuples(result, expected); |
| } |
| |
| private static class KeySelector1 |
| implements KeySelector<Tuple5<Integer, Long, Integer, String, Long>, Integer> { |
| private static final long serialVersionUID = 1L; |
| |
| @Override |
| public Integer getKey(Tuple5<Integer, Long, Integer, String, Long> in) { |
| return in.f0; |
| } |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnCustomTypeWithTypeExtractor() throws Exception { |
| /* |
| * check correctness of distinct on custom type with type extractor |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<CustomType> ds = CollectionDataSets.getCustomTypeDataSet(env); |
| DataSet<Tuple1<Integer>> reduceDs = ds.distinct(new KeySelector3()).map(new Mapper3()); |
| |
| List<Tuple1<Integer>> result = reduceDs.collect(); |
| |
| String expected = "1\n" + "2\n" + "3\n" + "4\n" + "5\n" + "6\n"; |
| |
| compareResultAsTuples(result, expected); |
| } |
| |
| private static class Mapper3 extends RichMapFunction<CustomType, Tuple1<Integer>> { |
| @Override |
| public Tuple1<Integer> map(CustomType value) throws Exception { |
| return new Tuple1<Integer>(value.myInt); |
| } |
| } |
| |
| private static class KeySelector3 implements KeySelector<CustomType, Integer> { |
| private static final long serialVersionUID = 1L; |
| |
| @Override |
| public Integer getKey(CustomType in) { |
| return in.myInt; |
| } |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnTuples() throws Exception { |
| /* |
| * check correctness of distinct on tuples |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.getSmall3TupleDataSet(env); |
| DataSet<Tuple3<Integer, Long, String>> distinctDs = ds.union(ds).distinct(); |
| |
| List<Tuple3<Integer, Long, String>> result = distinctDs.collect(); |
| |
| String expected = "1,1,Hi\n" + "2,2,Hello\n" + "3,2,Hello world\n"; |
| |
| compareResultAsTuples(result, expected); |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnCustomTypeWithTupleReturningTypeExtractor() |
| throws Exception { |
| /* |
| * check correctness of distinct on custom type with tuple-returning type extractor |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<Tuple5<Integer, Long, Integer, String, Long>> ds = |
| CollectionDataSets.get5TupleDataSet(env); |
| DataSet<Tuple2<Integer, Long>> reduceDs = ds.distinct(new KeySelector2()).project(0, 4); |
| |
| List<Tuple2<Integer, Long>> result = reduceDs.collect(); |
| |
| String expected = |
| "1,1\n" + "2,1\n" + "2,2\n" + "3,2\n" + "3,3\n" + "4,1\n" + "4,2\n" + "5,1\n" |
| + "5,2\n" + "5,3\n"; |
| |
| compareResultAsTuples(result, expected); |
| } |
| |
| private static class KeySelector2 |
| implements KeySelector< |
| Tuple5<Integer, Long, Integer, String, Long>, Tuple2<Integer, Long>> { |
| private static final long serialVersionUID = 1L; |
| |
| @Override |
| public Tuple2<Integer, Long> getKey(Tuple5<Integer, Long, Integer, String, Long> t) { |
| return new Tuple2<Integer, Long>(t.f0, t.f4); |
| } |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnTuplesWithFieldExpressions() throws Exception { |
| /* |
| * check correctness of distinct on tuples with field expressions |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<Tuple5<Integer, Long, Integer, String, Long>> ds = |
| CollectionDataSets.getSmall5TupleDataSet(env); |
| DataSet<Tuple1<Integer>> reduceDs = ds.union(ds).distinct("f0").project(0); |
| |
| List<Tuple1<Integer>> result = reduceDs.collect(); |
| |
| String expected = "1\n" + "2\n"; |
| |
| compareResultAsTuples(result, expected); |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnPojos() throws Exception { |
| /* |
| * check correctness of distinct on Pojos |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<POJO> ds = CollectionDataSets.getDuplicatePojoDataSet(env); |
| DataSet<Integer> reduceDs = ds.distinct("nestedPojo.longNumber").map(new Mapper2()); |
| |
| List<Integer> result = reduceDs.collect(); |
| |
| String expected = "10000\n20000\n30000\n"; |
| |
| compareResultAsText(result, expected); |
| } |
| |
| private static class Mapper2 implements MapFunction<CollectionDataSets.POJO, Integer> { |
| @Override |
| public Integer map(POJO value) throws Exception { |
| return (int) value.nestedPojo.longNumber; |
| } |
| } |
| |
| @Test |
| public void testDistinctOnFullPojo() throws Exception { |
| /* |
| * distinct on full Pojo |
| */ |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| |
| DataSet<POJO> ds = CollectionDataSets.getDuplicatePojoDataSet(env); |
| DataSet<Integer> reduceDs = ds.distinct().map(new Mapper1()); |
| |
| List<Integer> result = reduceDs.collect(); |
| |
| String expected = "10000\n20000\n30000\n"; |
| |
| compareResultAsText(result, expected); |
| } |
| |
| private static class Mapper1 implements MapFunction<CollectionDataSets.POJO, Integer> { |
| @Override |
| public Integer map(POJO value) throws Exception { |
| return (int) value.nestedPojo.longNumber; |
| } |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnAtomic() throws Exception { |
| /* |
| * check correctness of distinct on Integers |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| DataSet<Integer> ds = CollectionDataSets.getIntegerDataSet(env); |
| DataSet<Integer> reduceDs = ds.distinct(); |
| |
| List<Integer> result = reduceDs.collect(); |
| |
| String expected = "1\n2\n3\n4\n5"; |
| |
| compareResultAsText(result, expected); |
| } |
| |
| @Test |
| public void testCorrectnessOfDistinctOnAtomicWithSelectAllChar() throws Exception { |
| /* |
| * check correctness of distinct on Strings, using Keys.ExpressionKeys.SELECT_ALL_CHAR |
| */ |
| |
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); |
| DataSet<String> ds = CollectionDataSets.getStringDataSet(env); |
| DataSet<String> reduceDs = ds.union(ds).distinct("*"); |
| |
| List<String> result = reduceDs.collect(); |
| |
| String expected = |
| "I am fine.\n" |
| + "Luke Skywalker\n" |
| + "LOL\n" |
| + "Hello world, how are you?\n" |
| + "Hi\n" |
| + "Hello world\n" |
| + "Hello\n" |
| + "Random comment\n"; |
| |
| compareResultAsText(result, expected); |
| } |
| } |