Examples of cascading.pipe.Every

cascading.pipe.Every
The Every operator applies an {@link Aggregator} or {@link Buffer} to every grouping.
Any number of Every instances may follow other Every, {@link GroupBy}, or {@link CoGroup} instances if they apply anAggregator, not a Buffer. If a Buffer, only one Every may follow a GroupBy or CoGroup.
Every operators create aggregate values for every grouping they encounter. This aggregate value is added to the current grouping Tuple.
In the case of a CoGroup, the grouping Tuple will be all the grouping keys from all joined streams, and if an "outer" type join is used, one value on the groupingTuple may be null.
Subsequent Every instances can continue to append values to the grouping Tuple. When an Each follows and Every, the Each applies its operation to the grouping Tuple (thus all child values in the grouping are discarded and only aggregate values are propagated).

    Tap source = getPlatform().getTextFile( Fields.size( 2 ), inputFileIps );
    Tap sink = getPlatform().getTextFile( Fields.size( 1 ), getOutputPath( name ), SinkMode.REPLACE );


    Pipe pipe = new Pipe( "count" );
    pipe = new GroupBy( pipe, new Fields( 1 ) );
    pipe = new Every( pipe, argumentSelector, new Count( fieldDeclaration ), outputSelector );


    Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );


    flow.start(); // simple test for start
    flow.complete();

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    pipe = new GroupBy( pipe, new Fields( 0 ) );


    Aggregator counter = new Count();


    pipe = new Every( pipe, new Fields( 0 ), counter, new Fields( 0, 1 ) );


    Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );


    flow.complete();

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    pipe = new GroupBy( pipe, new Fields( 0 ) );


    Aggregator counter = new Count();


    pipe = new Every( pipe, new Fields( 0 ), counter, new Fields( 0, 1 ) );


    Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );


    flow.complete();

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    pipe = new GroupBy( pipe, new Fields( 0 ) );


    Aggregator counter = new Count();


    pipe = new Every( pipe, new Fields( 0 ), counter, new Fields( 0, 1 ) );


    Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );


    flow.complete();

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    pipe = new Each( pipe, new Fields( 1 ), parser, new Fields( 2 ) );


    pipe = new GroupBy( pipe, new Fields( 0 ) );


    pipe = new Every( pipe, new Fields( 0 ), new Count(), new Fields( 0, 1 ) );


    // add a second group to force a new map/red
    pipe = new GroupBy( pipe, new Fields( 0 ) );


    Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );

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    pipe = new Each( pipe, new InsertBytes( new Fields( "bytes" ), "inserted text as bytes" ), Fields.ALL );


    pipe = new GroupBy( pipe, new Fields( "ip" ) );


    pipe = new Every( pipe, new Count(), new Fields( "ip", "count" ) );


    pipe = new Each( pipe, new InsertBoolean( new Fields( "boolean" ), false ), Fields.ALL );


    Tap sink = new Hfs( new SequenceFile( Fields.ALL ), getOutputPath( "serialization" ), SinkMode.REPLACE );

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    Fields bytes = new Fields( "bytes" );
    bytes.setComparator( "bytes", new BytesComparator() );
    pipe = new GroupBy( pipe, bytes );


    pipe = new Every( pipe, new Count(), new Fields( "bytes", "count" ) );


    Tap sink = new Hfs( new SequenceFile( Fields.ALL ), getOutputPath( "grouponbytes" ), SinkMode.REPLACE );


    Map<Object, Object> properties = getProperties();

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    pipe = new Each( pipe, new Fields( "line" ), new RegexParser( new Fields( "ip" ), "^[^ ]*" ), new Fields( "offset", "ip" ) );


    pipe = new GroupBy( pipe, new Fields( "offset" ) );


    pipe = new Every( pipe, new Count(), new Fields( "offset", "count" ) );


    Fields sinkFields = new Fields( "offset", "count" ).applyTypes( Coercions.BIG_DECIMAL, long.class );
    Tap sink = new Hfs( new SequenceFile( sinkFields ), getOutputPath( "bigdecimal" ), SinkMode.REPLACE );


    Map<Object, Object> jobProperties = getProperties();

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    Pipe pipe = new Pipe( "map" );


    pipe = new Each( pipe, new Fields( "line" ), new RegexParser( new Fields( "ip" ), "^[^ ]*" ), new Fields( "ip" ) );
    pipe = new GroupBy( "reduce", pipe, new Fields( "ip" ) );
    pipe = new Every( pipe, new Count(), new Fields( "ip", "count" ) );


    Tap sink = getPlatform().getTextFile( getOutputPath( "none/tap" ), SinkMode.REPLACE );
    Tap trap = getPlatform().getTextFile( getOutputPath( "none/trap" ), SinkMode.REPLACE );


    Flow flow = getPlatform().getFlowConnector().connect( "trap test", source, sink, trap, pipe );

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    // always fail
    pipe = new Each( pipe, new Fields( "ip" ), new TestFunction( new Fields( "test" ), null ), Fields.ALL );


    pipe = new GroupBy( "reduce", pipe, new Fields( "ip" ) );
    pipe = new Every( pipe, new Count(), new Fields( "ip", "count" ) );


    Tap sink = getPlatform().getTextFile( getOutputPath( "all/tap" ), SinkMode.REPLACE );
    Tap trap = getPlatform().getTextFile( getOutputPath( "all/trap" ), SinkMode.REPLACE );


    Flow flow = getPlatform().getFlowConnector().connect( "trap test", source, sink, trap, pipe );

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