org.apache.flink.api.java.operators.DataSink.setParallelism()方法的使用及代码示例

x33g5p2x  于2022-01-18 转载在 其他  
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本文整理了Java中org.apache.flink.api.java.operators.DataSink.setParallelism()方法的一些代码示例，展示了DataSink.setParallelism()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。DataSink.setParallelism()方法的具体详情如下：
包路径：org.apache.flink.api.java.operators.DataSink
类名称：DataSink
方法名：setParallelism

DataSink.setParallelism介绍

[英]Sets the parallelism for this data sink. The degree must be 1 or more.
[中]设置此数据接收器的并行度。学位必须为1或更多。

代码示例

代码示例来源：origin: apache/flink

private void createTextSink(PythonOperationInfo info) {
  DataSet<byte[]> parent = sets.getDataSet(info.parentID);
  parent.map(new StringDeserializerMap()).setParallelism(info.parallelism)
    .writeAsText(info.path, info.writeMode).setParallelism(info.parallelism).name("TextSink");
}

代码示例来源：origin: apache/flink

private void createPrintSink(PythonOperationInfo info) {
  DataSet<byte[]> parent = sets.getDataSet(info.parentID);
  parent.map(new StringDeserializerMap()).setParallelism(info.parallelism).name("PrintSinkPreStep")
    .output(new PrintingOutputFormat<String>(info.toError)).setParallelism(info.parallelism);
}

代码示例来源：origin: apache/flink

private void createCsvSink(PythonOperationInfo info) {
  DataSet<byte[]> parent = sets.getDataSet(info.parentID);
  parent.map(new StringTupleDeserializerMap()).setParallelism(info.parallelism).name("CsvSinkPreStep")
      .writeAsCsv(info.path, info.lineDelimiter, info.fieldDelimiter, info.writeMode).setParallelism(info.parallelism).name("CsvSink");
}

代码示例来源：origin: apache/flink

@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();
  }
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

public static void main(String[] args) throws Exception {
  if (args.length < 2) {
    System.err.println("Usage: WordCount <input path> <result path>");
    return;
  }
  final String inputPath = args[0];
  final String outputPath = args[1];
  final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
  // Set up the Hadoop Input Format
  HadoopInputFormat<LongWritable, Text> hadoopInputFormat = new HadoopInputFormat<LongWritable, Text>(new TextInputFormat(), LongWritable.class, Text.class, new JobConf());
  TextInputFormat.addInputPath(hadoopInputFormat.getJobConf(), new Path(inputPath));
  // Create a Flink job with it
  DataSet<Tuple2<LongWritable, Text>> text = env.createInput(hadoopInputFormat);
  DataSet<Tuple2<Text, LongWritable>> words =
      text.flatMap(new HadoopMapFunction<LongWritable, Text, Text, LongWritable>(new Tokenizer()))
        .groupBy(0).reduceGroup(new HadoopReduceCombineFunction<Text, LongWritable, Text, LongWritable>(new Counter(), new Counter()));
  // Set up Hadoop Output Format
  HadoopOutputFormat<Text, LongWritable> hadoopOutputFormat =
      new HadoopOutputFormat<Text, LongWritable>(new TextOutputFormat<Text, LongWritable>(), new JobConf());
  hadoopOutputFormat.getJobConf().set("mapred.textoutputformat.separator", " ");
  TextOutputFormat.setOutputPath(hadoopOutputFormat.getJobConf(), new Path(outputPath));
  // Output & Execute
  words.output(hadoopOutputFormat).setParallelism(1);
  env.execute("Hadoop Compat WordCount");
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

@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);
}

代码示例来源：origin: apache/flink

ds.writeAsCsv(resultPath)
  .sortLocalOutput(1, Order.DESCENDING).sortLocalOutput(0, Order.ASCENDING)
  .setParallelism(1);

代码示例来源：origin: apache/flink

@Override
public EdgeMetrics<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  // s, t, (d(s), d(t))
  DataSet<Edge<K, Tuple3<EV, LongValue, LongValue>>> edgeDegreePair = input
    .run(new EdgeDegreePair<K, VV, EV>()
      .setReduceOnTargetId(reduceOnTargetId)
      .setParallelism(parallelism));
  // s, d(s), count of (u, v) where deg(u) < deg(v) or (deg(u) == deg(v) and u < v)
  DataSet<Tuple3<K, LongValue, LongValue>> edgeStats = edgeDegreePair
    .map(new EdgeStats<>())
      .setParallelism(parallelism)
      .name("Edge stats")
    .groupBy(0)
    .reduce(new SumEdgeStats<>())
    .setCombineHint(CombineHint.HASH)
      .setParallelism(parallelism)
      .name("Sum edge stats");
  edgeMetricsHelper = new EdgeMetricsHelper<>();
  edgeStats
    .output(edgeMetricsHelper)
      .setParallelism(parallelism)
      .name("Edge metrics");
  return this;
}

代码示例来源：origin: apache/flink

@Override
public EdgeMetrics<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  // s, t, (d(s), d(t))
  DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>> edgeDegreesPair = input
    .run(new EdgeDegreesPair<K, VV, EV>()
      .setParallelism(parallelism));
  // s, d(s), count of (u, v) where deg(u) < deg(v) or (deg(u) == deg(v) and u < v)
  DataSet<Tuple3<K, Degrees, LongValue>> edgeStats = edgeDegreesPair
    .flatMap(new EdgeStats<>())
      .setParallelism(parallelism)
      .name("Edge stats")
    .groupBy(0, 1)
    .reduceGroup(new ReduceEdgeStats<>())
      .setParallelism(parallelism)
      .name("Reduce edge stats")
    .groupBy(0)
    .reduce(new SumEdgeStats<>())
    .setCombineHint(CombineHint.HASH)
      .setParallelism(parallelism)
      .name("Sum edge stats");
  edgeMetricsHelper = new EdgeMetricsHelper<>();
  edgeStats
    .output(edgeMetricsHelper)
      .setParallelism(parallelism)
      .name("Edge metrics");
  return this;
}

代码示例来源：origin: apache/flink

.groupBy("*").reduceGroup(new IdentityGroupReducer<Long>())
.withForwardedFields("*").setParallelism(p * 2).name("Reduce2")
.output(new DiscardingOutputFormat<Long>()).setParallelism(p * 2).name("Sink");

代码示例来源：origin: apache/flink

.groupBy("*").reduceGroup(new IdentityGroupReducer<Long>())
.withForwardedFields("*").setParallelism(p * 2).name("Reduce2")
.output(new DiscardingOutputFormat<Long>()).setParallelism(p * 2).name("Sink");

代码示例来源：origin: apache/flink

.groupBy("*").reduceGroup(new IdentityGroupReducer<Long>())
  .withForwardedFields("*").setParallelism(p).name("Reduce2")
.output(new DiscardingOutputFormat<Long>()).setParallelism(p).name("Sink");

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