Examples with ParallelDo com.tdunning.plume.local.lazy.op.ParallelDo used on opensource projects

Example 6 with ParallelDo

use of com.tdunning.plume.local.lazy.op.ParallelDo in project Plume by tdunning.

the class LocalExecutor method execute.

/**
   * Execute one-output flow
   * 
   * @param <T>
   * @param output
   * @return
   */
@SuppressWarnings({ "unchecked", "rawtypes" })
public <T> Iterable<T> execute(LazyCollection<T> output) {
    if (output.isMaterialized()) {
        // nothing else to execute
        return output.getData();
    } else {
        DeferredOp op = output.getDeferredOp();
        final List<T> result = Lists.newArrayList();
        // Flatten op
        if (op instanceof Flatten) {
            Flatten<T> flatten = (Flatten<T>) op;
            for (PCollection<T> col : flatten.getOrigins()) {
                Iterable<T> res = execute((LazyCollection<T>) col);
                result.addAll(Lists.newArrayList(res));
            }
            // done with it
            return result;
        }
        Iterable parent;
        EmitFn<T> emitter = new EmitFn<T>() {

            @Override
            public void emit(T v) {
                result.add(v);
            }
        };
        // ParallelDo
        if (op instanceof ParallelDo) {
            ParallelDo pDo = (ParallelDo) op;
            parent = execute((LazyCollection) pDo.getOrigin());
            for (Object obj : parent) {
                pDo.getFunction().process(obj, emitter);
            }
        // MultipleParallelDo -> parallel operations that read the same collection
        // In this version of executor, we will only compute the current collection, not its neighbors
        } else if (op instanceof MultipleParallelDo) {
            MultipleParallelDo mPDo = (MultipleParallelDo) op;
            parent = execute((LazyCollection) mPDo.getOrigin());
            // get the function that corresponds to this collection
            DoFn function = (DoFn) mPDo.getDests().get(output);
            for (Object obj : parent) {
                function.process(obj, emitter);
            }
        // GroupByKey
        } else if (op instanceof GroupByKey) {
            GroupByKey gBK = (GroupByKey) op;
            parent = execute(gBK.getOrigin());
            Map<Object, List> groupMap = Maps.newHashMap();
            // Perform in-memory group by operation
            for (Object obj : parent) {
                Pair p = (Pair) obj;
                List list = groupMap.get(p.getKey());
                if (list == null) {
                    list = new ArrayList();
                }
                list.add(p.getValue());
                groupMap.put(p.getKey(), list);
            }
            for (Map.Entry<Object, List> entry : groupMap.entrySet()) {
                result.add((T) new Pair(entry.getKey(), entry.getValue()));
            }
        }
        return result;
    }
}

Example 7 with ParallelDo

use of com.tdunning.plume.local.lazy.op.ParallelDo in project Plume by tdunning.

the class MSCRReducer method reduce.

@SuppressWarnings("unchecked")
protected void reduce(final PlumeObject arg0, java.lang.Iterable<PlumeObject> values, Reducer<PlumeObject, PlumeObject, NullWritable, NullWritable>.Context<PlumeObject, PlumeObject, NullWritable, NullWritable> arg2) throws IOException, InterruptedException {
    PCollection col = mscr.getChannelByNumber().get(arg0.sourceId);
    OutputChannel oC = mscr.getOutputChannels().get(col);
    if (oC.reducer != null) {
        // apply reducer
        ParallelDo pDo = oC.reducer;
        // TODO how to check / report this
        DoFn reducer = pDo.getFunction();
        List<WritableComparable> vals = Lists.newArrayList();
        for (PlumeObject val : values) {
            vals.add(val.obj);
        }
        reducer.process(Pair.create(arg0.obj, vals), new EmitFn() {

            @Override
            public void emit(Object v) {
                try {
                    if (v instanceof Pair) {
                        Pair p = (Pair) v;
                        mos.write(arg0.sourceId + "", p.getKey(), p.getValue());
                    } else {
                        mos.write(arg0.sourceId + "", NullWritable.get(), (WritableComparable) v);
                    }
                } catch (Exception e) {
                    // TODO How to report this
                    e.printStackTrace();
                }
            }
        });
    } else {
        // direct writing - write all key, value pairs
        for (PlumeObject val : values) {
            if (oC.output instanceof PTable) {
                mos.write(arg0.sourceId + "", arg0.obj, val.obj);
            } else {
                mos.write(arg0.sourceId + "", NullWritable.get(), val.obj);
            }
        }
    }
}

Example 8 with ParallelDo

use of com.tdunning.plume.local.lazy.op.ParallelDo in project Plume by tdunning.

the class Optimizer method fuseParallelDos.

/**
   * Fuse producer-consumer ParallelDos as in : {Orig2 => p2 => Orig1 => p1 => Output} to {Orig2 => p1(p2) => Output}
   * @param arg  The collection that may have compositions internally.
   */
@SuppressWarnings({ "unchecked", "rawtypes" })
<T> void fuseParallelDos(PCollection<T> arg) {
    LazyCollection<T> output = (LazyCollection<T>) arg;
    if (output.isMaterialized()) {
        // stop condition for recursive algorithm
        return;
    }
    DeferredOp dOp = output.getDeferredOp();
    if (!(dOp instanceof ParallelDo)) {
        // not a ParallelDo
        if (dOp instanceof OneToOneOp) {
            // Recursively apply this function to parent
            fuseParallelDos(((OneToOneOp) dOp).getOrigin());
            return;
        }
        if (dOp instanceof Flatten) {
            Flatten<T> flatten = (Flatten) dOp;
            // Recursively apply this function to all parents
            for (PCollection<T> col : flatten.getOrigins()) {
                fuseParallelDos(col);
            }
            return;
        }
    }
    ParallelDo p1 = (ParallelDo) output.getDeferredOp();
    LazyCollection orig1 = (LazyCollection) p1.getOrigin();
    if (orig1.isMaterialized()) {
        return;
    }
    if (!(orig1.getDeferredOp() instanceof ParallelDo)) {
        // Recursively apply this function to parent node
        fuseParallelDos(orig1);
        return;
    }
    // At this point we know ParallelDo fusion can be done -> Perform it
    ParallelDo p2 = (ParallelDo) orig1.getDeferredOp();
    // Lift combine values
    if (p2 instanceof CombineValues) {
        LazyCollection lCol = (LazyCollection) p2.getOrigin();
        if (!lCol.isMaterialized() && lCol.getDeferredOp() instanceof GroupByKey) {
            // Upper parallel do is CombineValues and follows a GroupByKey -> don't join
            fuseParallelDos(orig1);
            return;
        }
    }
    final DoFn f1 = p1.getFunction();
    final DoFn f2 = p2.getFunction();
    // Define the joined function
    DoFn newFn = new DoFn() {

        @Override
        public void process(Object v, final EmitFn emitter) {
            f2.process(v, new EmitFn() {

                @Override
                public void emit(Object v) {
                    f1.process(v, emitter);
                }
            });
        }
    };
    LazyCollection orig2 = (LazyCollection) p2.getOrigin();
    ParallelDo newPDo = new ParallelDo(newFn, orig2, output);
    // Clean & change pointers
    orig2.downOps.remove(p2);
    orig1.downOps.remove(p1);
    orig2.addDownOp(newPDo);
    output.deferredOp = newPDo;
    // Recursively apply this function to the same node => TODO Beware infinite recursion, properly test
    fuseParallelDos(output);
}

Example 9 with ParallelDo

use of com.tdunning.plume.local.lazy.op.ParallelDo in project Plume by tdunning.

the class Optimizer method fuseSiblingParallelDos.

/**
   * Join ParallelDos that use the same PCollection into multiple-output {@link MultipleParallelDo}
   * @param arg  The original collection that may contain sibling do chains
   */
@SuppressWarnings({ "unchecked", "rawtypes" })
<T> void fuseSiblingParallelDos(PCollection<T> arg) {
    LazyCollection<T> output = (LazyCollection<T>) arg;
    if (output.isMaterialized()) {
        // stop condition for recursive algorithm
        return;
    }
    DeferredOp dOp = output.getDeferredOp();
    if (!(dOp instanceof ParallelDo)) {
        // not a ParallelDo
        if (dOp instanceof OneToOneOp) {
            // Recursively apply this function to parent
            fuseSiblingParallelDos(((OneToOneOp) dOp).getOrigin());
            return;
        }
        if (dOp instanceof Flatten) {
            Flatten<T> flatten = (Flatten) dOp;
            // Recursively apply this function to all parents
            for (PCollection<T> col : flatten.getOrigins()) {
                fuseSiblingParallelDos(col);
            }
            return;
        }
        if (dOp instanceof MultipleParallelDo) {
            return;
        }
    }
    ParallelDo pDo = (ParallelDo) output.getDeferredOp();
    LazyCollection<T> orig = (LazyCollection<T>) pDo.getOrigin();
    int willAdd = 0;
    for (DeferredOp op : orig.getDownOps()) {
        if (op instanceof ParallelDo) {
            willAdd++;
        }
    }
    if (willAdd == 1) {
        // Parent doesn't have more ParallelDos to fuse
        // Recursively apply this function to parent
        fuseSiblingParallelDos(orig);
        return;
    }
    // MultipleParallelDo is viable, create it
    MultipleParallelDo<T> mPDo = new MultipleParallelDo<T>(orig);
    mPDo.addDest(pDo.getFunction(), output);
    orig.downOps.remove(pDo);
    output.deferredOp = mPDo;
    List<DeferredOp> newList = new ArrayList<DeferredOp>();
    for (DeferredOp op : orig.getDownOps()) {
        if (op instanceof ParallelDo) {
            ParallelDo thisPDo = (ParallelDo) op;
            mPDo.addDest(thisPDo.getFunction(), thisPDo.getDest());
            LazyCollection thisDest = (LazyCollection) thisPDo.getDest();
            thisDest.deferredOp = mPDo;
        } else {
            newList.add(op);
        }
    }
    newList.add(mPDo);
    orig.downOps = newList;
    // Recursively apply this function to parent
    fuseSiblingParallelDos(orig);
}