@Override
public void removeAllFields() {
for (VectorWrapper<?> vw : container) {
vw.clear();
}
container.clear();
fieldVectorMap.clear();
}
private void buildTable()
throws SchemaChangeException, ClassTransformationException, IOException {
// Get all samples from distributed map
SortRecordBatchBuilder containerBuilder =
new SortRecordBatchBuilder(context.getAllocator(), MAX_SORT_BYTES);
for (CachedVectorContainer w : mmap.get(mapKey)) {
containerBuilder.add(w.get());
}
VectorContainer allSamplesContainer = new VectorContainer();
containerBuilder.build(context, allSamplesContainer);
List<Ordering> orderDefs = Lists.newArrayList();
int i = 0;
for (Ordering od : popConfig.getOrderings()) {
SchemaPath sp = SchemaPath.getSimplePath("f" + i++);
orderDefs.add(new Ordering(od.getDirection(), new FieldReference(sp)));
}
// sort the data incoming samples.
SelectionVector4 newSv4 = containerBuilder.getSv4();
Sorter sorter = SortBatch.createNewSorter(context, orderDefs, allSamplesContainer);
sorter.setup(context, newSv4, allSamplesContainer);
sorter.sort(newSv4, allSamplesContainer);
// Copy every Nth record from the samples into a candidate partition table, where N =
// totalSampledRecords/partitions
// Attempt to push this to the distributed map. Only the first candidate to get pushed will be
// used.
VectorContainer candidatePartitionTable = new VectorContainer();
SampleCopier copier = null;
List<ValueVector> localAllocationVectors = Lists.newArrayList();
copier =
getCopier(
newSv4,
allSamplesContainer,
candidatePartitionTable,
orderDefs,
localAllocationVectors);
int allocationSize = 50;
while (true) {
for (ValueVector vv : localAllocationVectors) {
AllocationHelper.allocate(vv, samplingFactor * partitions, allocationSize);
}
int skipRecords = containerBuilder.getSv4().getTotalCount() / partitions;
if (copier.copyRecords(skipRecords, skipRecords, partitions - 1)) {
assert copier.getOutputRecords() == partitions - 1
: String.format(
"output records: %d partitions: %d", copier.getOutputRecords(), partitions);
for (VectorWrapper<?> vw : candidatePartitionTable) {
vw.getValueVector().getMutator().setValueCount(copier.getOutputRecords());
}
break;
} else {
candidatePartitionTable.zeroVectors();
allocationSize *= 2;
}
}
candidatePartitionTable.setRecordCount(copier.getOutputRecords());
WritableBatch batch =
WritableBatch.getBatchNoHVWrap(
candidatePartitionTable.getRecordCount(), candidatePartitionTable, false);
CachedVectorContainer wrap =
new CachedVectorContainer(batch, context.getDrillbitContext().getAllocator());
tableMap.putIfAbsent(mapKey + "final", wrap, 1, TimeUnit.MINUTES);
candidatePartitionTable.clear();
allSamplesContainer.clear();
containerBuilder.clear();
wrap.clear();
}
public BatchGroup mergeAndSpill(LinkedList<BatchGroup> batchGroups) throws SchemaChangeException {
logger.debug("Copier allocator current allocation {}", copierAllocator.getAllocatedMemory());
logger.debug(
"mergeAndSpill: starting total size in memory = {}", oAllocator.getAllocatedMemory());
VectorContainer outputContainer = new VectorContainer();
List<BatchGroup> batchGroupList = Lists.newArrayList();
int batchCount = batchGroups.size();
for (int i = 0; i < batchCount / 2; i++) {
if (batchGroups.size() == 0) {
break;
}
BatchGroup batch = batchGroups.pollLast();
assert batch != null : "Encountered a null batch during merge and spill operation";
batchGroupList.add(batch);
}
if (batchGroupList.size() == 0) {
return null;
}
int estimatedRecordSize = 0;
for (VectorWrapper<?> w : batchGroupList.get(0)) {
try {
estimatedRecordSize += TypeHelper.getSize(w.getField().getType());
} catch (UnsupportedOperationException e) {
estimatedRecordSize += 50;
}
}
int targetRecordCount = Math.max(1, COPIER_BATCH_MEM_LIMIT / estimatedRecordSize);
VectorContainer hyperBatch = constructHyperBatch(batchGroupList);
createCopier(hyperBatch, batchGroupList, outputContainer, true);
int count = copier.next(targetRecordCount);
assert count > 0;
logger.debug(
"mergeAndSpill: estimated record size = {}, target record count = {}",
estimatedRecordSize,
targetRecordCount);
// 1 output container is kept in memory, so we want to hold on to it and transferClone
// allows keeping ownership
VectorContainer c1 = VectorContainer.getTransferClone(outputContainer, oContext);
c1.buildSchema(BatchSchema.SelectionVectorMode.NONE);
c1.setRecordCount(count);
String spillDir = dirs.next();
Path currSpillPath = new Path(Joiner.on("/").join(spillDir, fileName));
currSpillDirs.add(currSpillPath);
String outputFile = Joiner.on("/").join(currSpillPath, spillCount++);
try {
fs.deleteOnExit(currSpillPath);
} catch (IOException e) {
// since this is meant to be used in a batches's spilling, we don't propagate the exception
logger.warn("Unable to mark spill directory " + currSpillPath + " for deleting on exit", e);
}
stats.setLongStat(Metric.SPILL_COUNT, spillCount);
BatchGroup newGroup = new BatchGroup(c1, fs, outputFile, oContext);
try (AutoCloseable a = AutoCloseables.all(batchGroupList)) {
logger.info("Merging and spilling to {}", outputFile);
while ((count = copier.next(targetRecordCount)) > 0) {
outputContainer.buildSchema(BatchSchema.SelectionVectorMode.NONE);
outputContainer.setRecordCount(count);
// note that addBatch also clears the outputContainer
newGroup.addBatch(outputContainer);
}
injector.injectChecked(
context.getExecutionControls(), INTERRUPTION_WHILE_SPILLING, IOException.class);
newGroup.closeOutputStream();
} catch (Throwable e) {
// we only need to cleanup newGroup if spill failed
try {
AutoCloseables.close(e, newGroup);
} catch (Throwable t) {
/* close() may hit the same IO issue; just ignore */
}
throw UserException.resourceError(e)
.message("External Sort encountered an error while spilling to disk")
.addContext(e.getMessage() /* more detail */)
.build(logger);
} finally {
hyperBatch.clear();
}
logger.debug("mergeAndSpill: final total size in memory = {}", oAllocator.getAllocatedMemory());
logger.info("Completed spilling to {}", outputFile);
return newGroup;
}
private boolean saveSamples()
throws SchemaChangeException, ClassTransformationException, IOException {
recordsSampled = 0;
IterOutcome upstream;
// Start collecting batches until recordsToSample records have been collected
SortRecordBatchBuilder builder =
new SortRecordBatchBuilder(oContext.getAllocator(), MAX_SORT_BYTES);
builder.add(incoming);
recordsSampled += incoming.getRecordCount();
outer:
while (recordsSampled < recordsToSample) {
upstream = next(incoming);
switch (upstream) {
case NONE:
case NOT_YET:
case STOP:
upstreamNone = true;
break outer;
default:
// fall through
}
builder.add(incoming);
recordsSampled += incoming.getRecordCount();
if (upstream == IterOutcome.NONE) break;
}
VectorContainer sortedSamples = new VectorContainer();
builder.build(context, sortedSamples);
// Sort the records according the orderings given in the configuration
Sorter sorter = SortBatch.createNewSorter(context, popConfig.getOrderings(), sortedSamples);
SelectionVector4 sv4 = builder.getSv4();
sorter.setup(context, sv4, sortedSamples);
sorter.sort(sv4, sortedSamples);
// Project every Nth record to a new vector container, where N = recordsSampled/(samplingFactor
// * partitions).
// Uses the
// the expressions from the Orderings to populate each column. There is one column for each
// Ordering in
// popConfig.orderings.
VectorContainer containerToCache = new VectorContainer();
List<ValueVector> localAllocationVectors = Lists.newArrayList();
SampleCopier copier =
getCopier(
sv4, sortedSamples, containerToCache, popConfig.getOrderings(), localAllocationVectors);
int allocationSize = 50;
while (true) {
for (ValueVector vv : localAllocationVectors) {
AllocationHelper.allocate(vv, samplingFactor * partitions, allocationSize);
}
if (copier.copyRecords(
recordsSampled / (samplingFactor * partitions), 0, samplingFactor * partitions)) {
break;
} else {
containerToCache.zeroVectors();
allocationSize *= 2;
}
}
for (VectorWrapper<?> vw : containerToCache) {
vw.getValueVector().getMutator().setValueCount(copier.getOutputRecords());
}
containerToCache.setRecordCount(copier.getOutputRecords());
// Get a distributed multimap handle from the distributed cache, and put the vectors from the
// new vector container
// into a serializable wrapper object, and then add to distributed map
WritableBatch batch =
WritableBatch.getBatchNoHVWrap(containerToCache.getRecordCount(), containerToCache, false);
CachedVectorContainer sampleToSave = new CachedVectorContainer(batch, context.getAllocator());
mmap.put(mapKey, sampleToSave);
this.sampledIncomingBatches = builder.getHeldRecordBatches();
builder.clear();
batch.clear();
containerToCache.clear();
sampleToSave.clear();
return true;
}