use of org.apache.flink.runtime.operators.util.metrics.CountingCollector in project flink by apache.
the class AbstractCachedBuildSideJoinDriver method run.
@Override
public void run() throws Exception {
final Counter numRecordsOut = taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
final FlatJoinFunction<IT1, IT2, OT> matchStub = this.taskContext.getStub();
final Collector<OT> collector = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
while (this.running && matchIterator != null && matchIterator.callWithNextKey(matchStub, collector)) {
}
}
use of org.apache.flink.runtime.operators.util.metrics.CountingCollector in project flink by apache.
the class CrossDriver method runBlockedOuterFirst.
private void runBlockedOuterFirst() throws Exception {
if (LOG.isDebugEnabled()) {
LOG.debug(this.taskContext.formatLogString("Running Cross with Block-Nested-Loops: " + "First input is outer (blocking) side, second input is inner (spilling) side."));
}
final Counter numRecordsIn = taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
final Counter numRecordsOut = taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
final MutableObjectIterator<T1> in1 = new CountingMutableObjectIterator<>(this.taskContext.<T1>getInput(0), numRecordsIn);
final MutableObjectIterator<T2> in2 = new CountingMutableObjectIterator<>(this.taskContext.<T2>getInput(1), numRecordsIn);
final TypeSerializer<T1> serializer1 = this.taskContext.<T1>getInputSerializer(0).getSerializer();
final TypeSerializer<T2> serializer2 = this.taskContext.<T2>getInputSerializer(1).getSerializer();
final BlockResettableMutableObjectIterator<T1> blockVals = new BlockResettableMutableObjectIterator<T1>(this.memManager, in1, serializer1, this.memPagesForBlockSide, this.taskContext.getContainingTask());
this.blockIter = blockVals;
final SpillingResettableMutableObjectIterator<T2> spillVals = new SpillingResettableMutableObjectIterator<T2>(in2, serializer2, this.memManager, this.taskContext.getIOManager(), this.memPagesForSpillingSide, this.taskContext.getContainingTask());
this.spillIter = spillVals;
final CrossFunction<T1, T2, OT> crosser = this.taskContext.getStub();
final Collector<OT> collector = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
if (objectReuseEnabled) {
final T1 val1Reuse = serializer1.createInstance();
final T2 val2Reuse = serializer2.createInstance();
T1 val1;
T2 val2;
// for all blocks
do {
// for all values from the spilling side
while (this.running && ((val2 = spillVals.next(val2Reuse)) != null)) {
// for all values in the block
while ((val1 = blockVals.next(val1Reuse)) != null) {
collector.collect(crosser.cross(val1, val2));
}
blockVals.reset();
}
spillVals.reset();
} while (this.running && blockVals.nextBlock());
} else {
T1 val1;
T2 val2;
// for all blocks
do {
// for all values from the spilling side
while (this.running && ((val2 = spillVals.next()) != null)) {
// for all values in the block
while ((val1 = blockVals.next()) != null) {
collector.collect(crosser.cross(val1, serializer2.copy(val2)));
}
blockVals.reset();
}
spillVals.reset();
} while (this.running && blockVals.nextBlock());
}
}
use of org.apache.flink.runtime.operators.util.metrics.CountingCollector in project flink by apache.
the class CrossDriver method runStreamedOuterSecond.
private void runStreamedOuterSecond() throws Exception {
if (LOG.isDebugEnabled()) {
LOG.debug(this.taskContext.formatLogString("Running Cross with Nested-Loops: " + "First input is inner (spilling) side, second input is outer side."));
}
final Counter numRecordsIn = taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
final Counter numRecordsOut = taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
final MutableObjectIterator<T1> in1 = new CountingMutableObjectIterator<>(this.taskContext.<T1>getInput(0), numRecordsIn);
final MutableObjectIterator<T2> in2 = new CountingMutableObjectIterator<>(this.taskContext.<T2>getInput(1), numRecordsIn);
final TypeSerializer<T1> serializer1 = this.taskContext.<T1>getInputSerializer(0).getSerializer();
final TypeSerializer<T2> serializer2 = this.taskContext.<T2>getInputSerializer(1).getSerializer();
final SpillingResettableMutableObjectIterator<T1> spillVals = new SpillingResettableMutableObjectIterator<T1>(in1, serializer1, this.memManager, this.taskContext.getIOManager(), this.memPagesForSpillingSide, this.taskContext.getContainingTask());
this.spillIter = spillVals;
final CrossFunction<T1, T2, OT> crosser = this.taskContext.getStub();
final Collector<OT> collector = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
if (objectReuseEnabled) {
final T1 val1Reuse = serializer1.createInstance();
final T2 val2Reuse = serializer2.createInstance();
T1 val1;
T2 val2;
// for all blocks
while (this.running && (val2 = in2.next(val2Reuse)) != null) {
// for all values from the spilling side
while (this.running && (val1 = spillVals.next(val1Reuse)) != null) {
collector.collect(crosser.cross(val1, val2));
// crosser.cross(val1, val2Copy, collector);
}
spillVals.reset();
}
} else {
T1 val1;
T2 val2;
// for all blocks
while (this.running && (val2 = in2.next()) != null) {
// for all values from the spilling side
while (this.running && (val1 = spillVals.next()) != null) {
collector.collect(crosser.cross(val1, serializer2.copy(val2)));
}
spillVals.reset();
}
}
}
use of org.apache.flink.runtime.operators.util.metrics.CountingCollector in project flink by apache.
the class GroupReduceDriver method run.
@Override
public void run() throws Exception {
if (LOG.isDebugEnabled()) {
LOG.debug(this.taskContext.formatLogString("GroupReducer preprocessing done. Running GroupReducer code."));
}
final Counter numRecordsOut = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
// cache references on the stack
final GroupReduceFunction<IT, OT> stub = this.taskContext.getStub();
final Collector<OT> output = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
if (objectReuseEnabled) {
final ReusingKeyGroupedIterator<IT> iter = new ReusingKeyGroupedIterator<IT>(this.input, this.serializer, this.comparator);
// run stub implementation
while (this.running && iter.nextKey()) {
stub.reduce(iter.getValues(), output);
}
} else {
final NonReusingKeyGroupedIterator<IT> iter = new NonReusingKeyGroupedIterator<IT>(this.input, this.comparator);
// run stub implementation
while (this.running && iter.nextKey()) {
stub.reduce(iter.getValues(), output);
}
}
}
use of org.apache.flink.runtime.operators.util.metrics.CountingCollector in project flink by apache.
the class MapDriver method run.
@Override
public void run() throws Exception {
final Counter numRecordsIn = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
final Counter numRecordsOut = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
// cache references on the stack
final MutableObjectIterator<IT> input = this.taskContext.getInput(0);
final MapFunction<IT, OT> function = this.taskContext.getStub();
final Collector<OT> output = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
if (objectReuseEnabled) {
IT record = this.taskContext.<IT>getInputSerializer(0).getSerializer().createInstance();
while (this.running && ((record = input.next(record)) != null)) {
numRecordsIn.inc();
output.collect(function.map(record));
}
} else {
IT record = null;
while (this.running && ((record = input.next()) != null)) {
numRecordsIn.inc();
output.collect(function.map(record));
}
}
}
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