Examples with Counter org.apache.flink.metrics.Counter used on opensource projects

Example 61 with Counter

use of org.apache.flink.metrics.Counter in project flink by apache.

the class AbstractCachedBuildSideJoinDriver method initialize.

@Override
public void initialize() throws Exception {
    TaskConfig config = this.taskContext.getTaskConfig();
    final Counter numRecordsIn = taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
    TypeSerializer<IT1> serializer1 = this.taskContext.<IT1>getInputSerializer(0).getSerializer();
    TypeSerializer<IT2> serializer2 = this.taskContext.<IT2>getInputSerializer(1).getSerializer();
    TypeComparator<IT1> comparator1 = this.taskContext.getDriverComparator(0);
    TypeComparator<IT2> comparator2 = this.taskContext.getDriverComparator(1);
    MutableObjectIterator<IT1> input1 = new CountingMutableObjectIterator<>(this.taskContext.<IT1>getInput(0), numRecordsIn);
    MutableObjectIterator<IT2> input2 = new CountingMutableObjectIterator<>(this.taskContext.<IT2>getInput(1), numRecordsIn);
    TypePairComparatorFactory<IT1, IT2> pairComparatorFactory = this.taskContext.getTaskConfig().getPairComparatorFactory(this.taskContext.getUserCodeClassLoader());
    double availableMemory = config.getRelativeMemoryDriver();
    boolean hashJoinUseBitMaps = taskContext.getTaskManagerInfo().getConfiguration().getBoolean(AlgorithmOptions.HASH_JOIN_BLOOM_FILTERS);
    ExecutionConfig executionConfig = taskContext.getExecutionConfig();
    objectReuseEnabled = executionConfig.isObjectReuseEnabled();
    if (objectReuseEnabled) {
        if (buildSideIndex == 0 && probeSideIndex == 1) {
            matchIterator = new ReusingBuildFirstReOpenableHashJoinIterator<IT1, IT2, OT>(input1, input2, serializer1, comparator1, serializer2, comparator2, pairComparatorFactory.createComparator21(comparator1, comparator2), this.taskContext.getMemoryManager(), this.taskContext.getIOManager(), this.taskContext.getContainingTask(), availableMemory, false, false, hashJoinUseBitMaps);
        } else if (buildSideIndex == 1 && probeSideIndex == 0) {
            matchIterator = new ReusingBuildSecondReOpenableHashJoinIterator<IT1, IT2, OT>(input1, input2, serializer1, comparator1, serializer2, comparator2, pairComparatorFactory.createComparator12(comparator1, comparator2), this.taskContext.getMemoryManager(), this.taskContext.getIOManager(), this.taskContext.getContainingTask(), availableMemory, false, false, hashJoinUseBitMaps);
        } else {
            throw new Exception("Error: Inconsistent setup for repeatable hash join driver.");
        }
    } else {
        if (buildSideIndex == 0 && probeSideIndex == 1) {
            matchIterator = new NonReusingBuildFirstReOpenableHashJoinIterator<IT1, IT2, OT>(input1, input2, serializer1, comparator1, serializer2, comparator2, pairComparatorFactory.createComparator21(comparator1, comparator2), this.taskContext.getMemoryManager(), this.taskContext.getIOManager(), this.taskContext.getContainingTask(), availableMemory, false, false, hashJoinUseBitMaps);
        } else if (buildSideIndex == 1 && probeSideIndex == 0) {
            matchIterator = new NonReusingBuildSecondReOpenableHashJoinIterator<IT1, IT2, OT>(input1, input2, serializer1, comparator1, serializer2, comparator2, pairComparatorFactory.createComparator12(comparator1, comparator2), this.taskContext.getMemoryManager(), this.taskContext.getIOManager(), this.taskContext.getContainingTask(), availableMemory, false, false, hashJoinUseBitMaps);
        } else {
            throw new Exception("Error: Inconsistent setup for repeatable hash join driver.");
        }
    }
    this.matchIterator.open();
}

Example 62 with Counter

use of org.apache.flink.metrics.Counter in project flink by apache.

the class FlatMapDriver 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 FlatMapFunction<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();
            function.flatMap(record, output);
        }
    } else {
        IT record;
        while (this.running && ((record = input.next()) != null)) {
            numRecordsIn.inc();
            function.flatMap(record, output);
        }
    }
}

Example 63 with Counter

use of org.apache.flink.metrics.Counter in project flink by apache.

the class JoinDriver method run.

@Override
public void run() throws Exception {
    final Counter numRecordsOut = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
    final FlatJoinFunction<IT1, IT2, OT> joinStub = this.taskContext.getStub();
    final Collector<OT> collector = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
    final JoinTaskIterator<IT1, IT2, OT> joinIterator = this.joinIterator;
    while (this.running && joinIterator.callWithNextKey(joinStub, collector)) {
    }
}

Example 64 with Counter

use of org.apache.flink.metrics.Counter in project flink by apache.

the class AllGroupCombineDriver method run.

@Override
public void run() throws Exception {
    if (LOG.isDebugEnabled()) {
        LOG.debug("AllGroupCombine starting.");
    }
    final Counter numRecordsIn = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
    final Counter numRecordsOut = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
    final TypeSerializerFactory<IN> serializerFactory = this.taskContext.getInputSerializer(0);
    TypeSerializer<IN> serializer = serializerFactory.getSerializer();
    final MutableObjectIterator<IN> in = new CountingMutableObjectIterator<>(this.taskContext.<IN>getInput(0), numRecordsIn);
    final GroupCombineFunction<IN, OUT> reducer = this.taskContext.getStub();
    final Collector<OUT> output = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
    if (objectReuseEnabled) {
        final ReusingMutableToRegularIteratorWrapper<IN> inIter = new ReusingMutableToRegularIteratorWrapper<IN>(in, serializer);
        if (inIter.hasNext()) {
            reducer.combine(inIter, output);
        }
    } else {
        final NonReusingMutableToRegularIteratorWrapper<IN> inIter = new NonReusingMutableToRegularIteratorWrapper<IN>(in, serializer);
        if (inIter.hasNext()) {
            reducer.combine(inIter, output);
        }
    }
}

Example 65 with Counter

use of org.apache.flink.metrics.Counter in project flink by apache.

the class AllReduceDriver method run.

@Override
public void run() throws Exception {
    if (LOG.isDebugEnabled()) {
        LOG.debug(this.taskContext.formatLogString("AllReduce preprocessing done. Running Reducer code."));
    }
    final Counter numRecordsIn = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
    final Counter numRecordsOut = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
    final ReduceFunction<T> stub = this.taskContext.getStub();
    final MutableObjectIterator<T> input = this.input;
    final TypeSerializer<T> serializer = this.serializer;
    final Collector<T> collector = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
    T val1;
    if ((val1 = input.next()) == null) {
        return;
    }
    numRecordsIn.inc();
    if (objectReuseEnabled) {
        // We only need two objects. The first reference stores results and is
        // eventually collected. New values are read into the second.
        T val2 = serializer.createInstance();
        T value = val1;
        while (running && (val2 = input.next(val2)) != null) {
            numRecordsIn.inc();
            value = stub.reduce(value, val2);
            // by the user, so swap the reuse objects,
            if (value == val2) {
                T tmp = val1;
                val1 = val2;
                val2 = tmp;
            }
        }
        collector.collect(value);
    } else {
        T val2;
        while (running && (val2 = input.next()) != null) {
            numRecordsIn.inc();
            val1 = stub.reduce(val1, val2);
        }
        collector.collect(val1);
    }
}