Examples of org.apache.flink.api.java.record.io.CsvOutputFormat

Package org.apache.flink.api.java.record.io

Examples of org.apache.flink.api.java.record.io.CsvOutputFormat

org.apache.flink.api.java.record.io.CsvOutputFormat
This is an OutputFormat to serialize {@link Record}s to text. The output is structured by record delimiters and field delimiters as common in CSV files. Record delimiter separate records from each other ('\n' is common). Field delimiters separate fields within a record. Record and field delimiters can be configured using the CsvOutputFormat {@link Configuration}. The number of fields to serialize must be configured as well. For each field the type of the {@link Value} must be specified using the{@link CsvOutputFormat#FIELD_TYPE_PARAMETER_PREFIX} config key and an indexrunning from 0 to the number of fields. The position within the {@link Record} can be configured for each field usingthe {@link CsvOutputFormat#RECORD_POSITION_PARAMETER_PREFIX} config key.Either all {@link Record} positions must be configured or none. If none isconfigured, the index of the config key is used. @see Value @see Configuration @see Record

    {
      TaskConfig taskConfig = new TaskConfig(output.getConfiguration());
      taskConfig.addInputToGroup(0);
      taskConfig.setInputSerializer(serializer, 0);


      @SuppressWarnings("unchecked")
      CsvOutputFormat outFormat = new CsvOutputFormat("\n", " ", LongValue.class, LongValue.class, LongValue.class);
      outFormat.setOutputFilePath(new Path(resultPath));
      
      taskConfig.setStubWrapper(new UserCodeObjectWrapper<CsvOutputFormat>(outFormat));
    }


    return output;

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      .build();
    closeTriads.setParameter("INPUT_LEFT_SHIP_STRATEGY", "SHIP_REPARTITION_HASH");
    closeTriads.setParameter("INPUT_RIGHT_SHIP_STRATEGY", "SHIP_REPARTITION_HASH");
    closeTriads.setParameter("LOCAL_STRATEGY", "LOCAL_STRATEGY_HASH_BUILD_SECOND");


    FileDataSink triangles = new FileDataSink(new CsvOutputFormat(), output, "Output");
    CsvOutputFormat.configureRecordFormat(triangles)
      .recordDelimiter('\n')
      .fieldDelimiter(' ')
      .field(StringValue.class, 0)
      .field(StringValue.class, 1)

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    MapOperator mapper = MapOperator.builder(new TokenizeLine())
      .input(source)
      .name("Tokenize Lines")
      .build();


    FileDataSink out = new FileDataSink(new CsvOutputFormat(), output, mapper, "Selection");
    CsvOutputFormat.configureRecordFormat(out)
      .recordDelimiter('\n')
      .fieldDelimiter(' ')
      .field(StringValue.class, 0)
      .field(IntValue.class, 1);

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      .input2(aggInput2)
      .name("JoinLiO")
      .build();


    // create DataSinkContract for writing the result
    FileDataSink result = new FileDataSink(new CsvOutputFormat(), output, joinLiO, "Output");
    CsvOutputFormat.configureRecordFormat(result)
      .recordDelimiter('\n')
      .fieldDelimiter('|')
      .lenient(true)
      .field(IntValue.class, 0)

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      .input(joinLiO, partJoin2, partJoin1)
      .name("AggLio")
      .build();


    // create DataSinkContract for writing the result
    FileDataSink result = new FileDataSink(new CsvOutputFormat(), output, aggLiO, "Output");
    CsvOutputFormat.configureRecordFormat(result)
      .recordDelimiter('\n')
      .fieldDelimiter('|')
      .lenient(true)
      .field(LongValue.class, 0)

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      .build();
    // sets the group sorting to the second field
    sorter.setGroupOrder(new Ordering(1, IntValue.class, Order.ASCENDING));


    // create and configure the output format
    FileDataSink out = new FileDataSink(new CsvOutputFormat(), output, sorter, "Sorted Output");
    CsvOutputFormat.configureRecordFormat(out)
      .recordDelimiter('\n')
      .fieldDelimiter(' ')
      .field(IntValue.class, 0)
      .field(IntValue.class, 1);

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        .build();
      ReduceOperator reduceNode = ReduceOperator.builder(new CountWords(), StringValue.class, 0)
        .input(mapNode)
        .name("Count Words")
        .build();
      FileDataSink out = new FileDataSink(new CsvOutputFormat(), OUT_FILE, reduceNode, "Word Counts");
      CsvOutputFormat.configureRecordFormat(out)
        .recordDelimiter('\n')
        .fieldDelimiter(' ')
        .lenient(true)
        .field(StringValue.class, 0)

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    iteration.setNextWorkset(updateComponentId);
    iteration.setSolutionSetDelta(updateComponentId);


    // create DataSinkContract for writing the new cluster positions
    FileDataSink result = new FileDataSink(new CsvOutputFormat(), output, iteration, "Result");
    CsvOutputFormat.configureRecordFormat(result)
      .recordDelimiter('\n')
      .fieldDelimiter(' ')
      .field(LongValue.class, 0)
      .field(LongValue.class, 1);

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    String output    = (args.length > 1 ? args[1] : "");


    GenericDataSource<TableInputFormat> source = new GenericDataSource<TableInputFormat>(new MyTableInputFormat(), "HBase Input");
    source.setParameter(TableInputFormat.INPUT_TABLE, "twitter");
    source.setParameter(TableInputFormat.CONFIG_LOCATION, "/etc/hbase/conf/hbase-site.xml");
    FileDataSink out = new FileDataSink(new CsvOutputFormat(), output, source, "HBase String dump");
    CsvOutputFormat.configureRecordFormat(out)
      .recordDelimiter('\n')
      .fieldDelimiter(' ')
      .field(StringValue.class, 0)
      .field(StringValue.class, 1)

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      .build();
    ReduceOperator reducer = ReduceOperator.builder(CountWords.class, StringValue.class, 0)
      .input(mapper)
      .name("Count Words")
      .build();
    FileDataSink out = new FileDataSink(new CsvOutputFormat(), output, reducer, "Word Counts");
    CsvOutputFormat.configureRecordFormat(out)
      .recordDelimiter('\n')
      .fieldDelimiter(' ')
      .field(StringValue.class, 0)
      .field(IntValue.class, 1);

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