Examples of eu.stratosphere.api.java.record.io.CsvOutputFormat

Package eu.stratosphere.api.java.record.io

Examples of eu.stratosphere.api.java.record.io.CsvOutputFormat

eu.stratosphere.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

      .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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    }
    
    iteration.setNextWorkset(updateComponentId);


    // sink is the iteration result
    FileDataSink result = new FileDataSink(new CsvOutputFormat("\n", " ", LongValue.class, LongValue.class), output, iteration, "Result");


    // return the PACT plan
    Plan plan = new Plan(result, "Workset Connected Components");
    plan.setDefaultParallelism(numSubTasks);
    return plan;

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