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

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.

        public Tuple exec(Tuple input) throws IOException {
            Tuple t = mTupleFactory.newTuple(2);
            try {
                // input is a bag with one tuple containing
                // the column we are trying to avg
                DataBag bg = (DataBag) input.get(0);
                DataByteArray dba = null;
                if(bg.iterator().hasNext()) {
                    Tuple tp = bg.iterator().next();
                    dba = (DataByteArray)tp.get(0);
                }
                t.set(0, dba != null ? Double.valueOf(dba.toString()) : null);
                if (dba == null)
                    t.set(1, 0L);

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    static public class Intermediate extends EvalFunc<Tuple> {
        @Override
        public Tuple exec(Tuple input) throws IOException {
            try {
                DataBag b = (DataBag)input.get(0);
                return combine(b);
            } catch (ExecException ee) {
                throw ee;
            } catch (Exception e) {
                int errCode = 2106;

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    static public class Final extends EvalFunc<Double> {
        @Override
        public Double exec(Tuple input) throws IOException {
            try {
                DataBag b = (DataBag)input.get(0);
                Tuple combined = combine(b);


                Double sum = (Double)combined.get(0);
                if(sum == null) {
                    return null;

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    }


    static protected Long sumLongs(Tuple input) throws ExecException {
        // Can't just call sum, because the intermediate results are
        // now Longs insteads of Integers.
        DataBag values = (DataBag)input.get(0);


        // if we were handed an empty bag, return NULL
        // this is in compliance with SQL standard
        if(values.size() == 0) {
            return null;
        }


        long sum = 0;
        boolean sawNonNull = false;
        for (Iterator<Tuple> it = values.iterator(); it.hasNext();) {
            Tuple t = it.next();
            try {
                Long l = (Long)(t.get(0));
                if (l == null) continue;
                sawNonNull = true;

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            return null;
        }
    }


    static protected  Long sum(Tuple input) throws ExecException {
        DataBag values = (DataBag)input.get(0);
        
        // if we were handed an empty bag, return NULL
        // this is in compliance with SQL standard
        if(values.size() == 0) {
            return null;
        }


        long sum = 0;
        boolean sawNonNull = false;
        for (Iterator<Tuple> it = values.iterator(); it.hasNext();) {
            Tuple t = it.next();
            try {
                Integer i = (Integer)(t.get(0));
                if (i == null) continue;
                sawNonNull = true;

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            // Initial is called in the map - for SUM
            // we just send the tuple down
            try {
                // input is a bag with one tuple containing
                // the column we are trying to sum
                DataBag bg = (DataBag) input.get(0);
                Integer i = null;
                if(bg.iterator().hasNext()) {
                    Tuple tp = bg.iterator().next();
                    i = (Integer)tp.get(0);
                }
                return tfact.newTuple(i != null ? 
                        Long.valueOf(i) : null);
            }catch(NumberFormatException nfe){

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        pigServer.registerQuery("A = LOAD '" + INPUT_FILE1 + "' as (id, name, n);");
        pigServer.registerQuery("B = LOAD '" + INPUT_FILE2 + "' as (id, name);");
        pigServer.registerQuery("C = GROUP A by id;");
        pigServer.registerQuery("D = GROUP B by id;");
        
        DataBag dbfrj = BagFactory.getInstance().newDefaultBag(), dbshj = BagFactory.getInstance().newDefaultBag();
        {
            pigServer.registerQuery("E = join C by group, D by group using \"skewed\" parallel 5;");
            Iterator<Tuple> iter = pigServer.openIterator("E");
            
            while(iter.hasNext()) {
                dbfrj.add(iter.next());
            }
        }
        {
            pigServer.registerQuery("E = join C by group, D by group;");
            Iterator<Tuple> iter = pigServer.openIterator("E");
            
            while(iter.hasNext()) {
                dbshj.add(iter.next());
            }
        }
        Assert.assertTrue(dbfrj.size()>0 && dbshj.size()>0);
        Assert.assertEquals(true, TestHelper.compareBags(dbfrj, dbshj));
    }

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        pigServer = new PigServer(ExecType.MAPREDUCE, cluster.getProperties());


        pigServer.registerQuery("A = LOAD '" + INPUT_FILE1 + "' as (id, name, n);");
        pigServer.registerQuery("B = LOAD '" + INPUT_FILE2 + "' as (id, name);");
        try {
            DataBag dbfrj = BagFactory.getInstance().newDefaultBag();
            DataBag dbshj = BagFactory.getInstance().newDefaultBag();
            {
                pigServer.registerQuery("C = join A by (id, name), B by (id, name) using \"skewed\" parallel 5;");
                Iterator<Tuple> iter = pigServer.openIterator("C");


                while(iter.hasNext()) {
                    dbfrj.add(iter.next());
                }
            }
      {
              pigServer.registerQuery("E = join A by(id, name), B by (id, name);");
              Iterator<Tuple> iter = pigServer.openIterator("E");


              while(iter.hasNext()) {
                    dbshj.add(iter.next());
          }
            }
            Assert.assertTrue(dbfrj.size()>0 && dbshj.size()>0);
            Assert.assertEquals(true, TestHelper.compareBags(dbfrj, dbshj));


        }catch(Exception e) {
             fail(e.getMessage());
        }

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    @Test
    public void testSkewedJoinReducers() throws IOException{
        pigServer.registerQuery("A = LOAD '" + INPUT_FILE1 + "' as (id, name, n);");
        pigServer.registerQuery("B = LOAD '" + INPUT_FILE2 + "' as (id, name);");
        try {
            DataBag dbfrj = BagFactory.getInstance().newDefaultBag();
            {
                pigServer.registerQuery("C = join A by id, B by id using \"skewed\" parallel 1;");
                Iterator<Tuple> iter = pigServer.openIterator("C");
                
                while(iter.hasNext()) {
                    dbfrj.add(iter.next());
                }
            }
        }catch(Exception e) {
          fail("Should not throw exception, should continue execution");
        }

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    public void testSkewedJoin3Way() throws IOException{
        pigServer.registerQuery("A = LOAD '" + INPUT_FILE1 + "' as (id, name, n);");
        pigServer.registerQuery("B = LOAD '" + INPUT_FILE2 + "' as (id, name);");
        pigServer.registerQuery("C = LOAD '" + INPUT_FILE3 + "' as (id, name);");
        try {
            DataBag dbfrj = BagFactory.getInstance().newDefaultBag();
            {
                pigServer.registerQuery("D = join A by id, B by id, C by id using \"skewed\" parallel 5;");
                Iterator<Tuple> iter = pigServer.openIterator("D");
                
                while(iter.hasNext()) {
                    dbfrj.add(iter.next());
                }
            }
        }catch(Exception e) {
          return;
        }

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