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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,
* 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.operators.Order;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.test.operators.util.CollectionDataSets;
import org.apache.flink.test.util.MultipleProgramsTestBase;
import org.junit.Before;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.TemporaryFolder;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import java.io.BufferedReader;
import java.io.File;
import java.util.Random;
import java.util.UUID;
import static org.junit.Assert.assertTrue;
/** Tests for data sinks. */
@SuppressWarnings("serial")
@RunWith(Parameterized.class)
public class DataSinkITCase extends MultipleProgramsTestBase {
public DataSinkITCase(TestExecutionMode mode) {
super(mode);
}
private String resultPath;
@Rule public TemporaryFolder tempFolder = new TemporaryFolder();
@Before
public void before() throws Exception {
final File folder = tempFolder.newFolder();
final File resultFile = new File(folder, UUID.randomUUID().toString());
resultPath = resultFile.toURI().toString();
}
@Test
public void testIntSortingParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Integer> ds = CollectionDataSets.getIntegerDataSet(env);
ds.writeAsText(resultPath).sortLocalOutput("*", Order.DESCENDING).setParallelism(1);
env.execute();
String expected = "5\n5\n5\n5\n5\n4\n4\n4\n4\n3\n3\n3\n2\n2\n1\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testStringSortingParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<String> ds = CollectionDataSets.getStringDataSet(env);
ds.writeAsText(resultPath).sortLocalOutput("*", Order.ASCENDING).setParallelism(1);
env.execute();
String expected =
"Hello\n"
+ "Hello world\n"
+ "Hello world, how are you?\n"
+ "Hi\n"
+ "I am fine.\n"
+ "LOL\n"
+ "Luke Skywalker\n"
+ "Random comment\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testTupleSortingSingleAscParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.get3TupleDataSet(env);
ds.writeAsCsv(resultPath).sortLocalOutput(0, Order.ASCENDING).setParallelism(1);
env.execute();
String expected =
"1,1,Hi\n"
+ "2,2,Hello\n"
+ "3,2,Hello world\n"
+ "4,3,Hello world, how are you?\n"
+ "5,3,I am fine.\n"
+ "6,3,Luke Skywalker\n"
+ "7,4,Comment#1\n"
+ "8,4,Comment#2\n"
+ "9,4,Comment#3\n"
+ "10,4,Comment#4\n"
+ "11,5,Comment#5\n"
+ "12,5,Comment#6\n"
+ "13,5,Comment#7\n"
+ "14,5,Comment#8\n"
+ "15,5,Comment#9\n"
+ "16,6,Comment#10\n"
+ "17,6,Comment#11\n"
+ "18,6,Comment#12\n"
+ "19,6,Comment#13\n"
+ "20,6,Comment#14\n"
+ "21,6,Comment#15\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testTupleSortingSingleDescParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.get3TupleDataSet(env);
ds.writeAsCsv(resultPath).sortLocalOutput(0, Order.DESCENDING).setParallelism(1);
env.execute();
String expected =
"21,6,Comment#15\n"
+ "20,6,Comment#14\n"
+ "19,6,Comment#13\n"
+ "18,6,Comment#12\n"
+ "17,6,Comment#11\n"
+ "16,6,Comment#10\n"
+ "15,5,Comment#9\n"
+ "14,5,Comment#8\n"
+ "13,5,Comment#7\n"
+ "12,5,Comment#6\n"
+ "11,5,Comment#5\n"
+ "10,4,Comment#4\n"
+ "9,4,Comment#3\n"
+ "8,4,Comment#2\n"
+ "7,4,Comment#1\n"
+ "6,3,Luke Skywalker\n"
+ "5,3,I am fine.\n"
+ "4,3,Hello world, how are you?\n"
+ "3,2,Hello world\n"
+ "2,2,Hello\n"
+ "1,1,Hi\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testTupleSortingDualParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.get3TupleDataSet(env);
ds.writeAsCsv(resultPath)
.sortLocalOutput(1, Order.DESCENDING)
.sortLocalOutput(0, Order.ASCENDING)
.setParallelism(1);
env.execute();
String expected =
"16,6,Comment#10\n"
+ "17,6,Comment#11\n"
+ "18,6,Comment#12\n"
+ "19,6,Comment#13\n"
+ "20,6,Comment#14\n"
+ "21,6,Comment#15\n"
+ "11,5,Comment#5\n"
+ "12,5,Comment#6\n"
+ "13,5,Comment#7\n"
+ "14,5,Comment#8\n"
+ "15,5,Comment#9\n"
+ "7,4,Comment#1\n"
+ "8,4,Comment#2\n"
+ "9,4,Comment#3\n"
+ "10,4,Comment#4\n"
+ "4,3,Hello world, how are you?\n"
+ "5,3,I am fine.\n"
+ "6,3,Luke Skywalker\n"
+ "2,2,Hello\n"
+ "3,2,Hello world\n"
+ "1,1,Hi\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testTupleSortingNestedParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<Tuple2<Integer, Integer>, String, Integer>> ds =
CollectionDataSets.getGroupSortedNestedTupleDataSet2(env);
ds.writeAsText(resultPath)
.sortLocalOutput("f0.f1", Order.ASCENDING)
.sortLocalOutput("f1", Order.DESCENDING)
.setParallelism(1);
env.execute();
String expected =
"((2,1),a,3)\n"
+ "((2,2),b,4)\n"
+ "((1,2),a,1)\n"
+ "((3,3),c,5)\n"
+ "((1,3),a,2)\n"
+ "((3,6),c,6)\n"
+ "((4,9),c,7)\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testTupleSortingNestedParallelism1_2() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<Tuple2<Integer, Integer>, String, Integer>> ds =
CollectionDataSets.getGroupSortedNestedTupleDataSet2(env);
ds.writeAsText(resultPath)
.sortLocalOutput(1, Order.ASCENDING)
.sortLocalOutput(2, Order.DESCENDING)
.setParallelism(1);
env.execute();
String expected =
"((2,1),a,3)\n"
+ "((1,3),a,2)\n"
+ "((1,2),a,1)\n"
+ "((2,2),b,4)\n"
+ "((4,9),c,7)\n"
+ "((3,6),c,6)\n"
+ "((3,3),c,5)\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testPojoSortingSingleParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<CollectionDataSets.POJO> ds = CollectionDataSets.getMixedPojoDataSet(env);
ds.writeAsText(resultPath).sortLocalOutput("number", Order.ASCENDING).setParallelism(1);
env.execute();
String expected =
"1 First (10,100,1000,One) 10100\n"
+ "2 First_ (10,105,1000,One) 10200\n"
+ "3 First (11,102,3000,One) 10200\n"
+ "4 First_ (11,106,1000,One) 10300\n"
+ "5 First (11,102,2000,One) 10100\n"
+ "6 Second_ (20,200,2000,Two) 10100\n"
+ "7 Third (31,301,2000,Three) 10200\n"
+ "8 Third_ (30,300,1000,Three) 10100\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testPojoSortingDualParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<CollectionDataSets.POJO> ds = CollectionDataSets.getMixedPojoDataSet(env);
ds.writeAsText(resultPath)
.sortLocalOutput("str", Order.ASCENDING)
.sortLocalOutput("number", Order.DESCENDING)
.setParallelism(1);
env.execute();
String expected =
"5 First (11,102,2000,One) 10100\n"
+ "3 First (11,102,3000,One) 10200\n"
+ "1 First (10,100,1000,One) 10100\n"
+ "4 First_ (11,106,1000,One) 10300\n"
+ "2 First_ (10,105,1000,One) 10200\n"
+ "6 Second_ (20,200,2000,Two) 10100\n"
+ "7 Third (31,301,2000,Three) 10200\n"
+ "8 Third_ (30,300,1000,Three) 10100\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testPojoSortingNestedParallelism1() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<CollectionDataSets.POJO> ds = CollectionDataSets.getMixedPojoDataSet(env);
ds.writeAsText(resultPath)
.sortLocalOutput("nestedTupleWithCustom.f0", Order.ASCENDING)
.sortLocalOutput("nestedTupleWithCustom.f1.myInt", Order.DESCENDING)
.sortLocalOutput("nestedPojo.longNumber", Order.ASCENDING)
.setParallelism(1);
env.execute();
String expected =
"2 First_ (10,105,1000,One) 10200\n"
+ "1 First (10,100,1000,One) 10100\n"
+ "4 First_ (11,106,1000,One) 10300\n"
+ "5 First (11,102,2000,One) 10100\n"
+ "3 First (11,102,3000,One) 10200\n"
+ "6 Second_ (20,200,2000,Two) 10100\n"
+ "8 Third_ (30,300,1000,Three) 10100\n"
+ "7 Third (31,301,2000,Three) 10200\n";
compareResultsByLinesInMemoryWithStrictOrder(expected, resultPath);
}
@Test
public void testSortingParallelism4() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Long> ds = env.generateSequence(0, 1000);
// randomize
ds.map(
new MapFunction<Long, Long>() {
Random rand = new Random(1234L);
@Override
public Long map(Long value) throws Exception {
return rand.nextLong();
}
})
.writeAsText(resultPath)
.sortLocalOutput("*", Order.ASCENDING)
.setParallelism(4);
env.execute();
BufferedReader[] resReaders = getResultReader(resultPath);
for (BufferedReader br : resReaders) {
long cmp = Long.MIN_VALUE;
while (br.ready()) {
long cur = Long.parseLong(br.readLine());
assertTrue("Invalid order of sorted output", cmp <= cur);
cmp = cur;
}
br.close();
}
}
}