Examples of org.apache.pig.data.DataBag$BagDelimiterTuple

org.apache.pig.data.DataBag
A collection of Tuples. A DataBag may or may not fit into memory. DataBag extends spillable, which means that it registers with a memory manager. By default, it attempts to keep all of its contents in memory. If it is asked by the memory manager to spill to disk (by a call to spill()), it takes whatever it has in memory, opens a spill file, and writes the contents out. This may happen multiple times. The bag tracks all of the files it's spilled to. DataBag provides an Iterator interface, that allows callers to read through the contents. The iterators are aware of the data spilling. They have to be able to handle reading from files, as well as the fact that data they were reading from memory may have been spilled to disk underneath them. The DataBag interface assumes that all data is written before any is read. That is, a DataBag cannot be used as a queue. If data is written after data is read, the results are undefined. This condition is not checked on each add or read, for reasons of speed. Caveat emptor. Since spills are asynchronous (the memory manager requesting a spill runs in a separate thread), all operations dealing with the mContents Collection (which is the collection of tuples contained in the bag) have to be synchronized. This means that reading from a DataBag is currently serialized. This is ok for the moment because pig execution is currently single threaded. A ReadWriteLock was experimented with, but it was found to be about 10x slower than using the synchronize keyword. If pig changes its execution model to be multithreaded, we may need to return to this issue, as synchronizing reads will most likely defeat the purpose of multi-threading execution. DataBag come in several types, default, sorted, and distinct. The type must be chosen up front, there is no way to convert a bag on the fly.

                // value and output of it is put into a bag. The bag containing
                // all AVGInitial output is provided as input to AVGFinal
                
                // The tuple we got above has a bag with input
                // values. Lets call AVGInitial with each value:
                DataBag bg = (DataBag) tup.get(0);
                DataBag  finalInputBg = bagFactory.newDefaultBag();
                for (Tuple tuple : bg) {
                    DataBag initialInputBg = bagFactory.newDefaultBag();
                    initialInputBg.add(tuple);
                    Tuple initialInputTuple = tupleFactory.newTuple(initialInputBg);
                    finalInputBg.add((Tuple)avgInitial.exec(initialInputTuple));
                }
    
                Tuple finalInputTuple = tupleFactory.newTuple(finalInputBg);

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                // The outputs from the two calls to <Agg>Intermediate are put into a bag 
                // and sent as input to <Agg>Final
                
                // The tuple we got above has a bag with input
                // values. Lets call <Agg>Initial with each value:
                DataBag bg = (DataBag) tup.get(0);
                DataBag  intermediateInputBg1 = bagFactory.newDefaultBag();
                DataBag  intermediateInputBg2 = bagFactory.newDefaultBag();
                int i = 0;
                for (Tuple tuple : bg) {
                    DataBag initialInputBg = bagFactory.newDefaultBag();
                    initialInputBg.add(tuple);
                    Tuple initialInputTuple = tupleFactory.newTuple(initialInputBg);
                    if(i < bg.size()/2) {
                        intermediateInputBg1.add((Tuple)aggInitial.exec(initialInputTuple));
                    } else {
                        intermediateInputBg2.add((Tuple)aggInitial.exec(initialInputTuple));
                    }
                    i++;
                }


                EvalFunc<?> avgIntermediate = evalFuncMap.get(aggIntermediateTypes[k]);
                DataBag finalInputBg = bagFactory.newDefaultBag();
                Tuple intermediateInputTuple = tupleFactory.newTuple(intermediateInputBg1);
                finalInputBg.add((Tuple)avgIntermediate.exec(intermediateInputTuple));
                intermediateInputTuple = tupleFactory.newTuple(intermediateInputBg2);
                finalInputBg.add((Tuple)avgIntermediate.exec(intermediateInputTuple));
                
                Tuple finalInputTuple = tupleFactory.newTuple(finalInputBg);
                EvalFunc<?> aggFinal = evalFuncMap.get(aggFinalTypes[k]);
                String msg = "[Testing " + aggGroup[k] + " on input type: " + getInputType(aggFinalTypes[k]);
                System.err.println(msg + " for single combiner case]");

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                // The outputs from the two calls to <Agg>Intermediate are put into a bag 
                // and sent as input to <Agg>Final
                
                // The tuple we got above has a bag with input
                // values. Lets call <Agg>Initial with each value:
                DataBag bg = (DataBag) tup.get(0);
                DataBag[]  mapIntermediateInputBgs = new DataBag[4];
                for (int i = 0; i < mapIntermediateInputBgs.length; i++) {
                    mapIntermediateInputBgs[i] = bagFactory.newDefaultBag();
                }
                Iterator<Tuple> it = bg.iterator();
                for(int i = 0; i < 4; i++) {
                    for(int j = 0; j < bg.size()/4; j++) {
                        DataBag initialInputBg = bagFactory.newDefaultBag();
                        initialInputBg.add(it.next());
                        Tuple initialInputTuple = tupleFactory.newTuple(initialInputBg);
                        mapIntermediateInputBgs[i].add((Tuple)aggInitial.exec(initialInputTuple));
                    }
                    if(i == 3) {
                        // if the last quarter has more elements process them
                        while(it.hasNext()) {
                            DataBag initialInputBg = bagFactory.newDefaultBag();
                            initialInputBg.add(it.next());
                            Tuple initialInputTuple = tupleFactory.newTuple(initialInputBg);
                            mapIntermediateInputBgs[i].add((Tuple)aggInitial.exec(initialInputTuple));
                        }
                    }
                }


                EvalFunc<?> aggIntermediate = evalFuncMap.get(aggIntermediateTypes[k]);
                DataBag[] reduceIntermediateInputBgs = new DataBag[2];
                for (int i = 0; i < reduceIntermediateInputBgs.length; i++) {
                    reduceIntermediateInputBgs[i] = bagFactory.newDefaultBag();                    
                }


                // simulate call to combine after map
                for(int i = 0; i < 4; i++) {
                    Tuple intermediateInputTuple = tupleFactory.newTuple(mapIntermediateInputBgs[i]);
                    if(i < 2) {
                        reduceIntermediateInputBgs[0].add((Tuple)aggIntermediate.exec(intermediateInputTuple));
                    } else {
                        reduceIntermediateInputBgs[1].add((Tuple)aggIntermediate.exec(intermediateInputTuple));
                    }
                }
               
                DataBag finalInputBag = bagFactory.newDefaultBag();
                // simulate call to combine before reduce
                for(int i = 0; i < 2; i++) {
                    Tuple intermediateInputTuple = tupleFactory.newTuple(reduceIntermediateInputBgs[i]);
                    finalInputBag.add((Tuple)aggIntermediate.exec(intermediateInputTuple));
                }
                
                // simulate call to final (in reduce)
                Tuple finalInputTuple = tupleFactory.newTuple(finalInputBag);
                EvalFunc<?> aggFinal = evalFuncMap.get(aggFinalTypes[k]);

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                // put into one bag and the next half into another. Then these two
                // bags are provided as inputs to two separate calls of <Agg>Intermediate.
                // The outputs from the two calls to <Agg>Intermediate are put into a bag 
                // and sent as input to <Agg>Final
                
                DataBag  intermediateInputBg1 = bagFactory.newDefaultBag();
                DataBag  intermediateInputBg2 = bagFactory.newDefaultBag();
                Tuple outputTuple = null;
                for(int i = 0; i < 10; i++) {
                    // create empty bag input to be provided as input
                    // argument to the "Initial" function
                    DataBag initialInputBg = bagFactory.newDefaultBag();
                    Tuple initialInputTuple = tupleFactory.newTuple(initialInputBg);
                    
                    if(i < 5) {
                        outputTuple = (Tuple)aggInitial.exec(initialInputTuple);
                        // check that output is null for all aggs except COUNT
                        // COUNT will give an output of 0 for empty bag input
                        checkZeroOrNull(aggInitial, outputTuple.get(0));
                        intermediateInputBg1.add(outputTuple);
                    } else {
                        outputTuple = (Tuple)aggInitial.exec(initialInputTuple);
                        // check that output is null for all aggs except COUNT
                        // COUNT will give an output of 0 for empty bag input
                        checkZeroOrNull(aggInitial, outputTuple.get(0));
                        intermediateInputBg2.add(outputTuple);
                    }
                }


                EvalFunc<?> aggIntermediate = evalFuncMap.get(aggIntermediateTypes[k]);
                DataBag finalInputBg = bagFactory.newDefaultBag();
                Tuple intermediateInputTuple = tupleFactory.newTuple(intermediateInputBg1);
                outputTuple = (Tuple)aggIntermediate.exec(intermediateInputTuple);
                // check that output is null for all aggs except COUNT
                // COUNT will give an output of 0 for empty bag input
                checkZeroOrNull(aggIntermediate, outputTuple.get(0));
                finalInputBg.add(outputTuple);
                intermediateInputTuple = tupleFactory.newTuple(intermediateInputBg2);
                outputTuple = (Tuple)aggIntermediate.exec(intermediateInputTuple);
                // check that output is null for all aggs except COUNT
                // COUNT will give an output of 0 for empty bag input
                checkZeroOrNull(aggIntermediate, outputTuple.get(0));
                finalInputBg.add(outputTuple);
                
                Tuple finalInputTuple = tupleFactory.newTuple(finalInputBg);
                
                EvalFunc<?> aggFinal = evalFuncMap.get(aggFinalTypes[k]);
                Object output = aggFinal.exec(finalInputTuple);

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            for(int k = 0; k < aggGroup.length; k++) {
                EvalFunc<?> agg = evalFuncMap.get(aggGroup[k]);


                // call agg with empty bag as input
                DataBag inputBag = bagFactory.newDefaultBag();
                Tuple inputTuple = tupleFactory.newTuple(inputBag);
                
                Object output = agg.exec(inputTuple);
                // check that output is null for all aggs except COUNT
                // COUNT will give an output of 0 for empty bag input

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            // The tuple we got above has a bag with input
            // values. Input to the Intermediate.exec() however comes
            // from the map which would put each value and a count of
            // 1 in a tuple and send it down. So lets create a bag with
            // tuples that have two fields - the value and a count 1.
            DataBag bag = (DataBag) tup.get(0);
            DataBag  bg = bagFactory.newDefaultBag();
            for (Tuple t: bag) {
                Tuple newTuple = tupleFactory.newTuple(2);
                newTuple.set(0, t.get(0));
                newTuple.set(1, new Long(1));
                bg.add(newTuple);                
            }
            Tuple intermediateInput = tupleFactory.newTuple();
            intermediateInput.append(bg);
            
            Object output = avg.exec(intermediateInput);

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            // 1 in a tuple and send it down. So lets create a bag with
            // tuples that have two fields - the value and a count 1.
            // The input has 10 values - lets put the first five of them
            // in the input to the first call of AVGIntermediate and the
            // remaining five in the second call.
            DataBag bg = (DataBag) tup.get(0);
            DataBag  bg1 = bagFactory.newDefaultBag();
            DataBag  bg2 = bagFactory.newDefaultBag();
            int i = 0;
            for (Tuple t: bg) {
                Tuple newTuple = tupleFactory.newTuple(2);
                newTuple.set(0, t.get(0));
                if ( t.get(0) == null)
                    newTuple.set(1, new Long(0));
                else
                    newTuple.set(1, new Long(1));
                if(i < 5) {
                    bg1.add(newTuple);
                } else {
                    bg2.add(newTuple);
                }
                i++;
            }
            Tuple intermediateInput1 = tupleFactory.newTuple();
            intermediateInput1.append(bg1);
            Object output1 = avgIntermediate.exec(intermediateInput1);
            Tuple intermediateInput2 = tupleFactory.newTuple();
            intermediateInput2.append(bg2);
            Object output2 = avgIntermediate.exec(intermediateInput2);
            
            DataBag bag = Util.createBag(new Tuple[]{(Tuple)output1, (Tuple)output2});
            
            Tuple finalTuple = TupleFactory.getInstance().newTuple(1);
            finalTuple.set(0, bag);
            Object output = avg.exec(finalTuple);
            String msg = "[Testing " + avgTypes[k] + " on input type: " + getInputType(avgTypes[k]) + " ( (output) " +

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    @Test
    public void testCOUNTIntermed() throws Exception {
        Integer input[] = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };
        
        DataBag intermediateInputBag = bagFactory.newDefaultBag();
        // call initial and then Intermed
        for (Integer i : input) {
            Tuple t = tupleFactory.newTuple(i);
            DataBag b = bagFactory.newDefaultBag();
            b.add(t);
            Tuple initialInput = tupleFactory.newTuple(b);
            EvalFunc<?> initial = new COUNT.Initial();
            intermediateInputBag.add((Tuple)initial.exec(initialInput));
        }

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    @Test
    public void testCOUNT_STARIntermed() throws Exception {
        Integer input[] = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };
        
        DataBag intermediateInputBag = bagFactory.newDefaultBag();
        // call initial and then Intermed
        for (Integer i : input) {
            Tuple t = tupleFactory.newTuple(i);
            DataBag b = bagFactory.newDefaultBag();
            b.add(t);
            Tuple initialInput = tupleFactory.newTuple(b);
            EvalFunc<?> initial = new COUNT_STAR.Initial();
            intermediateInputBag.add((Tuple)initial.exec(initialInput));
        }

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    }
    
    @Test
    public void testStatsFunc() throws Exception {
        COV cov = new COV("a","b");
        DataBag dBag = DefaultBagFactory.getInstance().newDefaultBag();
        Tuple tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 1.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 4.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 8.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 4.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 7.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 8.0);
        dBag.add(tup1);
        DataBag dBag1 = DefaultBagFactory.getInstance().newDefaultBag();
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 2.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 2.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 3.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 3.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 2.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 4.0);
        dBag1.add(tup1);
        Tuple input = TupleFactory.getInstance().newTuple(2);
        input.set(0, dBag);
        input.set(1, dBag1);
        DataBag output = cov.exec(input);
        Iterator<Tuple> it = output.iterator();
        Tuple ans = (Tuple)it.next();
        assertEquals((String)ans.get(0),"a");
        assertEquals((String)ans.get(1),"b");
        assertEquals(1.11111, (Double)ans.get(2),0.0005);
        
        COR cor = new COR("a","b");
        dBag = DefaultBagFactory.getInstance().newDefaultBag();
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 1.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 4.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 8.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 4.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 7.0);
        dBag.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 8.0);
        dBag.add(tup1);
        dBag1 = DefaultBagFactory.getInstance().newDefaultBag();
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 2.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 2.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 3.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 3.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 2.0);
        dBag1.add(tup1);
        tup1 = TupleFactory.getInstance().newTuple(1);
        tup1.set(0, 4.0);
        dBag1.add(tup1);
        input = TupleFactory.getInstance().newTuple(2);
        input.set(0, dBag);
        input.set(1, dBag1);
        output = cor.exec(input);
        it = output.iterator();
        ans = (Tuple) it.next();
        assertEquals((String)ans.get(0),"a");
        assertEquals((String)ans.get(1),"b");
        assertEquals(0.582222509739582, (Double)ans.get(2) ,0.0005);
    }

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