use of com.tdunning.plume.local.lazy.op.MultipleParallelDo in project Plume by tdunning.
the class MSCRMapper method map.
@SuppressWarnings("unchecked")
protected void map(WritableComparable key, WritableComparable value, final Mapper<WritableComparable, WritableComparable, PlumeObject, PlumeObject>.Context<WritableComparable, WritableComparable, PlumeObject, PlumeObject> context) throws IOException, InterruptedException {
LazyCollection<?> l = null;
FileSplit fS = FileInputSplitWrapper.getFileInputSplit(context);
// Get LazyCollection for this input (according to FileSplit)
for (PCollection<?> input : mscr.getInputs()) {
LazyCollection<?> thisL = (LazyCollection<?>) input;
if (thisL.getFile() == null) {
// Convention for intermediate results
thisL.setFile(tmpFolder + "/" + thisL.getPlumeId());
}
if (fS.getPath().toString().startsWith(thisL.getFile()) || fS.getPath().toString().startsWith("file:" + thisL.getFile())) {
l = thisL;
break;
}
}
if (l == null) {
throw new RuntimeException("Unable to match input split with any MSCR input");
}
// If this collection is a table -> process Pair, otherwise process value
PCollectionType type = l.getType();
Object toProcess = value;
if (type instanceof PTableType) {
toProcess = Pair.create(key, value);
}
for (DeferredOp op : l.getDownOps()) {
if (op instanceof MultipleParallelDo) {
MultipleParallelDo mPDo = ((MultipleParallelDo) op);
for (Object entry : mPDo.getDests().entrySet()) {
Map.Entry<PCollection, DoFn> en = (Map.Entry<PCollection, DoFn>) entry;
LazyCollection<?> lCol = (LazyCollection<?>) en.getKey();
DeferredOp childOp = null;
if (lCol.getDownOps() != null && lCol.getDownOps().size() > 0) {
childOp = lCol.getDownOps().get(0);
}
final Integer channel;
if (childOp != null && childOp instanceof Flatten) {
channel = mscr.getNumberedChannels().get(((Flatten) childOp).getDest());
} else if (childOp != null && childOp instanceof GroupByKey) {
channel = mscr.getNumberedChannels().get(((GroupByKey) childOp).getOrigin());
} else {
// bypass channel?
channel = mscr.getNumberedChannels().get(en.getKey());
}
if (channel == null) {
// This is not for this MSCR - just skip it
return;
}
// Call parallelDo function
en.getValue().process(toProcess, new EmitFn() {
@Override
public void emit(Object v) {
try {
if (v instanceof Pair) {
Pair p = (Pair) v;
context.write(new PlumeObject((WritableComparable) p.getKey(), channel), new PlumeObject((WritableComparable) p.getValue(), channel));
} else {
context.write(new PlumeObject((WritableComparable) v, channel), new PlumeObject((WritableComparable) v, channel));
}
} catch (Exception e) {
// TODO How to report this
e.printStackTrace();
}
}
});
}
} else {
if (op instanceof Flatten) {
l = (LazyCollection) ((Flatten) op).getDest();
}
int channel = mscr.getNumberedChannels().get(l);
if (toProcess instanceof Pair) {
context.write(new PlumeObject(key, channel), new PlumeObject(value, channel));
} else {
context.write(new PlumeObject(value, channel), new PlumeObject(value, channel));
}
}
}
}
use of com.tdunning.plume.local.lazy.op.MultipleParallelDo in project Plume by tdunning.
the class BasicOptimizerTest method testParallelDoSiblingFusion.
@SuppressWarnings("unchecked")
@Test
public void testParallelDoSiblingFusion() {
// Get Plume runtime
LazyPlume plume = new LazyPlume();
// Create simple data
PCollection<Integer> input = plume.fromJava(Lists.newArrayList(1, 2, 3));
PCollection<Integer> output1 = input.map(plusOne, null);
PCollection<Integer> output2 = input.map(timesTwo, null);
LazyCollection<Integer> lInput = (LazyCollection<Integer>) input;
LazyCollection<Integer> lOutput1 = (LazyCollection<Integer>) output1;
LazyCollection<Integer> lOutput2 = (LazyCollection<Integer>) output2;
assertEquals(lInput.downOps.size(), 2);
// Execute and assert the result before optimizing
executeAndAssert(lOutput1, new Integer[] { 2, 3, 4 });
executeAndAssert(lOutput2, new Integer[] { 2, 4, 6 });
// Get an Optimizer
Optimizer optimizer = new Optimizer();
// one output is enough to fuse both because they share the parent
optimizer.fuseSiblingParallelDos(output1);
// Check that input child ops has shrinked to 1
assertEquals(lInput.downOps.size(), 1);
DeferredOp op = lInput.downOps.get(0);
// Check that there is only one op pointing to both outputs
assertEquals(op, lOutput1.deferredOp);
assertEquals(op, lOutput2.deferredOp);
assertTrue(op instanceof MultipleParallelDo);
MultipleParallelDo<Integer> mPDo = (MultipleParallelDo<Integer>) op;
Map<PCollection<?>, DoFn<Integer, ?>> mapOfPDos = mPDo.getDests();
// Check that the map of functions in MultipleParallelDo is correct
assertEquals(mapOfPDos.get(output1), plusOne);
assertEquals(mapOfPDos.get(output2), timesTwo);
// Execute and assert the result afer optimizing
executeAndAssert(lOutput1, new Integer[] { 2, 3, 4 });
executeAndAssert(lOutput2, new Integer[] { 2, 4, 6 });
}
use of com.tdunning.plume.local.lazy.op.MultipleParallelDo in project Plume by tdunning.
the class MSCRMapper method map.
@SuppressWarnings("unchecked")
protected void map(WritableComparable key, WritableComparable value, final Mapper<WritableComparable, WritableComparable, PlumeObject, PlumeObject>.Context context) throws IOException, InterruptedException {
LazyCollection<?> l = null;
FileSplit fS = FileInputSplitWrapper.getFileInputSplit(context);
// Get LazyCollection for this input (according to FileSplit)
for (PCollection<?> input : mscr.getInputs()) {
LazyCollection<?> thisL = (LazyCollection<?>) input;
if (thisL.getFile() == null) {
// Convention for intermediate results
thisL.setFile(tmpFolder + "/" + thisL.getPlumeId());
}
if (fS.getPath().toString().startsWith(thisL.getFile()) || fS.getPath().toString().startsWith("file:" + thisL.getFile())) {
l = thisL;
break;
}
}
if (l == null) {
throw new RuntimeException("Unable to match input split with any MSCR input");
}
// If this collection is a table -> process Pair, otherwise process value
PCollectionType type = l.getType();
Object toProcess = value;
if (type instanceof PTableType) {
toProcess = Pair.create(key, value);
}
for (DeferredOp op : l.getDownOps()) {
if (op instanceof MultipleParallelDo) {
MultipleParallelDo mPDo = ((MultipleParallelDo) op);
for (Object entry : mPDo.getDests().entrySet()) {
Map.Entry<PCollection, DoFn> en = (Map.Entry<PCollection, DoFn>) entry;
LazyCollection<?> lCol = (LazyCollection<?>) en.getKey();
DeferredOp childOp = null;
if (lCol.getDownOps() != null && lCol.getDownOps().size() > 0) {
childOp = lCol.getDownOps().get(0);
}
final Integer channel;
if (childOp != null && childOp instanceof Flatten) {
channel = mscr.getNumberedChannels().get(((Flatten) childOp).getDest());
} else if (childOp != null && childOp instanceof GroupByKey) {
channel = mscr.getNumberedChannels().get(((GroupByKey) childOp).getOrigin());
} else {
// bypass channel?
channel = mscr.getNumberedChannels().get(en.getKey());
}
if (channel == null) {
// This is not for this MSCR - just skip it
return;
}
// Call parallelDo function
en.getValue().process(toProcess, new EmitFn() {
@Override
public void emit(Object v) {
try {
if (v instanceof Pair) {
Pair p = (Pair) v;
context.write(new PlumeObject((WritableComparable) p.getKey(), channel), new PlumeObject((WritableComparable) p.getValue(), channel));
} else {
context.write(new PlumeObject((WritableComparable) v, channel), new PlumeObject((WritableComparable) v, channel));
}
} catch (Exception e) {
// TODO How to report this
e.printStackTrace();
}
}
});
}
} else {
if (op instanceof Flatten) {
l = (LazyCollection) ((Flatten) op).getDest();
}
int channel = mscr.getNumberedChannels().get(l);
if (toProcess instanceof Pair) {
context.write(new PlumeObject(key, channel), new PlumeObject(value, channel));
} else {
context.write(new PlumeObject(value, channel), new PlumeObject(value, channel));
}
}
}
}
use of com.tdunning.plume.local.lazy.op.MultipleParallelDo in project Plume by tdunning.
the class OptimizerTools method getMSCRBlocks.
/**
* This utility returns all the different MSCR blocks that can be created from this plan
*
* (pere) As of Oct/2010, I think this code can be simplified to be more like addRemainingTrivialMSCRs(), so a possible TODO would be
* to refactor it and make it more understandable. An opened question is whether there is an easy way of coding finding all possible
* MSCRs (including trivial, not related to GroupByKey operations ones) in a single and elegant loop.
*/
@SuppressWarnings({ "rawtypes", "unchecked" })
static Set<MSCR> getMSCRBlocks(List<PCollection> outputs) {
// Get all GroupByKeys from the tree
List<DeferredOp> groupBys = OptimizerTools.getAll(outputs, GroupByKey.class);
int mscrId = 1;
Set<MSCR> mscrs = new HashSet<MSCR>();
// For all found GroupByKey blocks
for (DeferredOp gBK : groupBys) {
GroupByKey groupBy = (GroupByKey<?, ?>) gBK;
// Gather all information needed for MSCR from this GBK
Set<PCollection<?>> inputs = new HashSet<PCollection<?>>();
Set<GroupByKey<?, ?>> outputChannels = new HashSet<GroupByKey<?, ?>>();
Set<Flatten<?>> unGroupedOutputChannels = new HashSet<Flatten<?>>();
Set<PCollection<?>> bypassChannels = new HashSet<PCollection<?>>();
Stack<LazyCollection<?>> toVisit = new Stack<LazyCollection<?>>();
Set<LazyCollection<?>> visited = new HashSet<LazyCollection<?>>();
LazyCollection<?> origin = (LazyCollection<?>) groupBy.getOrigin();
toVisit.push(origin);
outputChannels.add(groupBy);
while (!toVisit.isEmpty()) {
LazyCollection<?> current = toVisit.pop();
visited.add(current);
if (current.isMaterialized()) {
// condition for being a materialized input. This may change.
inputs.add(current);
continue;
}
DeferredOp op = current.getDeferredOp();
if (op instanceof MultipleParallelDo) {
// second condition for being an input
MultipleParallelDo<?> mPDo = (MultipleParallelDo) current.getDeferredOp();
if (((LazyCollection<?>) mPDo.getOrigin()).isMaterialized()) {
// will be done in Mapper
inputs.add(mPDo.getOrigin());
} else if (op instanceof ParallelDo) {
// will be done in Reducer
inputs.add(current);
} else {
// will be done in Mapper
inputs.add(mPDo.getOrigin());
}
// Check for bypass channels & output channels with no group-by
for (Map.Entry entry : mPDo.getDests().entrySet()) {
LazyCollection coll = (LazyCollection) entry.getKey();
if (coll.getDownOps() == null || coll.getDownOps().size() == 0) {
// leaf node
bypassChannels.add(coll);
} else if (coll.getDownOps().get(0) instanceof MultipleParallelDo) {
bypassChannels.add(coll);
/*
* Case of an output channel that Flattens with no Group By
*/
} else if (coll.getDownOps().get(0) instanceof Flatten) {
Flatten<?> thisFlatten = (Flatten<?>) coll.getDownOps().get(0);
LazyCollection ldest = (LazyCollection) thisFlatten.getDest();
if (ldest.getDownOps() == null || ldest.getDownOps().size() == 0 || ldest.getDownOps().get(0) instanceof MultipleParallelDo) {
unGroupedOutputChannels.add(thisFlatten);
// Add the rest of this flatten's origins to the stack in order to possibly discover more output channels
for (PCollection<?> col : thisFlatten.getOrigins()) {
if (!visited.contains(col)) {
toVisit.push((LazyCollection<?>) col);
}
}
}
}
}
continue;
}
if (op instanceof GroupByKey) {
// third condition for being an input - rare case when one GBK follows another
inputs.add(current);
continue;
}
if (op instanceof Flatten) {
Flatten<?> flatten = (Flatten<?>) op;
for (PCollection<?> input : flatten.getOrigins()) {
LazyCollection<?> in = (LazyCollection<?>) input;
if (!visited.contains(in)) {
toVisit.push(in);
}
}
continue;
}
if (op instanceof OneToOneOp) {
LazyCollection<?> input = (LazyCollection<?>) ((OneToOneOp<?, ?>) op).getOrigin();
if (!visited.contains(input)) {
toVisit.push(input);
}
continue;
}
}
MSCR mscrToAdd = null;
// Check if there is already one MSCR with at least one of this inputs
for (MSCR mscr : mscrs) {
for (PCollection<?> input : inputs) {
if (mscr.hasInput(input)) {
mscrToAdd = mscr;
break;
}
}
}
if (mscrToAdd == null) {
// otherwise create new MSCR
mscrToAdd = new MSCR(mscrId);
mscrId++;
}
// Add all missing input channels to current MSCR
for (PCollection<?> input : inputs) {
if (!mscrToAdd.hasInput(input)) {
mscrToAdd.addInput(input);
}
}
// Add all missing bypass outputs to current MSCR
for (PCollection<?> col : bypassChannels) {
if (!mscrToAdd.hasOutputChannel(col)) {
// Create new by-pass channel
MSCR.OutputChannel oC = new MSCR.OutputChannel(col);
mscrToAdd.addOutputChannel(oC);
}
}
// Add all missing flatten-with-no-groupby outputs to current MSCR
for (Flatten flatten : unGroupedOutputChannels) {
if (!mscrToAdd.hasOutputChannel(flatten.getDest())) {
// Create new channel with flatten and nothing else
MSCR.OutputChannel oC = new MSCR.OutputChannel(flatten.getDest());
oC.output = flatten.getDest();
oC.flatten = flatten;
mscrToAdd.addOutputChannel(oC);
}
}
// Add all missing output channels to current MSCR
for (GroupByKey groupByKey : outputChannels) {
if (!mscrToAdd.hasOutputChannel(groupByKey.getOrigin())) {
// Create new channel with group by key. It might have combiner and reducer as well.
MSCR.OutputChannel oC = new MSCR.OutputChannel(groupByKey);
oC.output = groupByKey.getDest();
if (groupByKey.getOrigin().getDeferredOp() instanceof Flatten) {
oC.flatten = (Flatten) groupByKey.getOrigin().getDeferredOp();
}
if (groupByKey.getDest().getDownOps() != null && groupByKey.getDest().getDownOps().size() == 1) {
DeferredOp op = (DeferredOp) groupByKey.getDest().getDownOps().get(0);
if (op instanceof CombineValues) {
oC.combiner = (CombineValues) op;
oC.output = oC.combiner.getDest();
LazyCollection dest = (LazyCollection) oC.combiner.getDest();
if (dest.getDownOps() != null && dest.getDownOps().size() == 1) {
op = (DeferredOp) dest.getDownOps().get(0);
}
}
if (op instanceof ParallelDo) {
oC.reducer = (ParallelDo) op;
oC.output = oC.reducer.getDest();
}
}
mscrToAdd.addOutputChannel(oC);
}
}
// Add if needed
mscrs.add(mscrToAdd);
}
return addRemainingTrivialMSCRs(outputs, mscrId, mscrs);
}
use of com.tdunning.plume.local.lazy.op.MultipleParallelDo in project Plume by tdunning.
the class OptimizerTools method addRemainingTrivialMSCRs.
/**
* This utility returns all the MSCRs that are not related to a GroupByKey -
* the remaining trivial cases as described in FlumeJava paper
*
* These cases will be either:
* - Flattens that are followed by either a)MultipleParallelDo or b)nothing
*
* (These ones can have correlated inputs and be parallelized just like the ones with GroupByKey)
*
* - The trivial Input->ParalleDo|MultipleParalleDo->Output case
*
* @param outputs
* @return
*/
@SuppressWarnings({ "unchecked", "rawtypes" })
static Set<MSCR> addRemainingTrivialMSCRs(List<PCollection> outputs, int currentMscrId, Set<MSCR> currentMSCRs) {
// Get all Flatten from the tree
List<DeferredOp> flattens = OptimizerTools.getAll(outputs, Flatten.class);
List<MSCR> trivialMSCRS = new LinkedList<MSCR>();
Iterator<DeferredOp> it = flattens.iterator();
mainLoop: while (it.hasNext()) {
Flatten<?> flatten = (Flatten<?>) it.next();
// Process only remaining flattens that are not in any other MSCR
for (MSCR mscr : currentMSCRs) {
for (Map.Entry<PCollection<?>, MSCR.OutputChannel<?, ?, ?>> entry : mscr.getOutputChannels().entrySet()) {
if (entry.getValue().flatten != null && entry.getValue().flatten == flatten) {
// skip this flatten
continue mainLoop;
}
}
}
// Create new trivial MSCR
MSCR mscr = new MSCR(currentMscrId);
currentMscrId++;
// add single output channel
MSCR.OutputChannel oC = new MSCR.OutputChannel(flatten.getDest());
oC.output = flatten.getDest();
oC.flatten = flatten;
mscr.addOutputChannel(oC);
// add inputs
for (PCollection coll : flatten.getOrigins()) {
LazyCollection lCol = (LazyCollection) coll;
if (lCol.isMaterialized()) {
mscr.addInput(coll);
} else if (lCol.deferredOp instanceof ParallelDo) {
ParallelDo pDo = (ParallelDo) lCol.deferredOp;
if (((LazyCollection) pDo.getOrigin()).isMaterialized()) {
mscr.addInput(pDo.getOrigin());
} else if (pDo instanceof MultipleParallelDo) {
mscr.addInput(pDo.getOrigin());
} else {
mscr.addInput(coll);
}
} else {
mscr.addInput(coll);
}
}
Iterator<MSCR> tIt = trivialMSCRS.iterator();
// Now we'll see if this trivial MSCR can be fused to another previous trivial MSCR
boolean canBeFused = false;
while (tIt.hasNext() && !canBeFused) {
MSCR trivialMSCR = tIt.next();
for (PCollection input : trivialMSCR.getInputs()) {
if (mscr.getInputs().contains(input)) {
canBeFused = true;
break;
}
}
if (canBeFused) {
// add current output channel
trivialMSCR.addOutputChannel(oC);
for (PCollection input : mscr.getInputs()) {
if (!trivialMSCR.getInputs().contains(input)) {
// add each input that is not already contained
trivialMSCR.addInput(input);
}
}
}
}
// We have a new trivial MSCR only if it could not be fused with previous ones
if (!canBeFused) {
trivialMSCRS.add(mscr);
}
}
currentMSCRs.addAll(trivialMSCRS);
return currentMSCRs;
}
Aggregations