Package io.airlift.stats

Examples of io.airlift.stats.Distribution

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            System.out.println();
            System.out.println("Simulation finished in  " + runtime);
            System.out.println();

            for (Entry<Integer, Collection<SimulationTask>> entry : middleTasks.entrySet()) {
                Distribution durationDistribution = new Distribution();
                Distribution taskParallelismDistribution = new Distribution();

                for (SimulationTask task : entry.getValue()) {
                    long taskStart = Long.MAX_VALUE;
                    long taskEnd = 0;
                    long totalCpuTime = 0;

                    for (SimulationSplit split : task.getSplits()) {
                        taskStart = Math.min(taskStart, split.getStartNanos());
                        taskEnd = Math.max(taskEnd, split.getDoneNanos());
                        totalCpuTime += TimeUnit.MILLISECONDS.toNanos(split.getRequiredProcessMillis());
                    }

                    Duration taskDuration = new Duration(taskEnd - taskStart, NANOSECONDS).convertTo(TimeUnit.MILLISECONDS);
                    durationDistribution.add(taskDuration.toMillis());

                    double taskParallelism = 1.0 * totalCpuTime / (taskEnd - taskStart);
                    taskParallelismDistribution.add((long) (taskParallelism * 100));
                }

                System.out.println("Splits " + entry.getKey() + ": Completed " + entry.getValue().size());

                Map<Double, Long> durationPercentiles = durationDistribution.getPercentiles();
                System.out.printf("   wall time ms :: p01 %4s :: p05 %4s :: p10 %4s :: p97 %4s :: p50 %4s :: p75 %4s :: p90 %4s :: p95 %4s :: p99 %4s\n",
                        durationPercentiles.get(0.01),
                        durationPercentiles.get(0.05),
                        durationPercentiles.get(0.10),
                        durationPercentiles.get(0.25),
                        durationPercentiles.get(0.50),
                        durationPercentiles.get(0.75),
                        durationPercentiles.get(0.90),
                        durationPercentiles.get(0.95),
                        durationPercentiles.get(0.99));

                Map<Double, Long> parallelismPercentiles = taskParallelismDistribution.getPercentiles();
                System.out.printf("    parallelism :: p99 %4.2f :: p95 %4.2f :: p90 %4.2f :: p75 %4.2f :: p50 %4.2f :: p25 %4.2f :: p10 %4.2f :: p05 %4.2f :: p01 %4.2f\n",
                        parallelismPercentiles.get(0.99) / 100.0,
                        parallelismPercentiles.get(0.95) / 100.0,
                        parallelismPercentiles.get(0.90) / 100.0,
                        parallelismPercentiles.get(0.75) / 100.0,
View Full Code Here
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        int totalDriers = completedDrivers.get() + driverContexts.size();
        int queuedDrivers = 0;
        int runningDrivers = 0;
        int completedDrivers = this.completedDrivers.get();

        Distribution queuedTime = new Distribution(this.queuedTime);
        Distribution elapsedTime = new Distribution(this.elapsedTime);

        long totalScheduledTime = this.totalScheduledTime.get();
        long totalCpuTime = this.totalCpuTime.get();
        long totalUserTime = this.totalUserTime.get();
        long totalBlockedTime = this.totalBlockedTime.get();

        long rawInputDataSize = this.rawInputDataSize.getTotalCount();
        long rawInputPositions = this.rawInputPositions.getTotalCount();

        long processedInputDataSize = this.processedInputDataSize.getTotalCount();
        long processedInputPositions = this.processedInputPositions.getTotalCount();

        long outputDataSize = this.outputDataSize.getTotalCount();
        long outputPositions = this.outputPositions.getTotalCount();

        List<DriverStats> drivers = new ArrayList<>();

        Multimap<Integer, OperatorStats> runningOperators = ArrayListMultimap.create();
        for (DriverContext driverContext : driverContexts) {
            DriverStats driverStats = driverContext.getDriverStats();
            drivers.add(driverStats);

            if (driverStats.getStartTime() == null) {
                queuedDrivers++;
            }
            else {
                runningDrivers++;
            }

            queuedTime.add(driverStats.getQueuedTime().roundTo(NANOSECONDS));
            elapsedTime.add(driverStats.getElapsedTime().roundTo(NANOSECONDS));

            totalScheduledTime += driverStats.getTotalScheduledTime().roundTo(NANOSECONDS);
            totalCpuTime += driverStats.getTotalCpuTime().roundTo(NANOSECONDS);
            totalUserTime += driverStats.getTotalUserTime().roundTo(NANOSECONDS);
            totalBlockedTime += driverStats.getTotalBlockedTime().roundTo(NANOSECONDS);

            List<OperatorStats> operators = ImmutableList.copyOf(transform(driverContext.getOperatorContexts(), operatorStatsGetter()));
            for (OperatorStats operator : operators) {
                runningOperators.put(operator.getOperatorId(), operator);
            }

            rawInputDataSize += driverStats.getRawInputDataSize().toBytes();
            rawInputPositions += driverStats.getRawInputPositions();

            processedInputDataSize += driverStats.getProcessedInputDataSize().toBytes();
            processedInputPositions += driverStats.getProcessedInputPositions();

            outputDataSize += driverStats.getOutputDataSize().toBytes();
            outputPositions += driverStats.getOutputPositions();
        }

        // merge the operator stats into the operator summary
        TreeMap<Integer, OperatorStats> operatorSummaries = new TreeMap<>();
        for (Entry<Integer, OperatorStats> entry : this.operatorSummaries.entrySet()) {
            OperatorStats operator = entry.getValue();
            operator.add(runningOperators.get(entry.getKey()));
            operatorSummaries.put(entry.getKey(), operator);
        }

        return new PipelineStats(
                inputPipeline,
                outputPipeline,

                totalDriers,
                queuedDrivers,
                runningDrivers,
                completedDrivers,

                new DataSize(memoryReservation.get(), BYTE).convertToMostSuccinctDataSize(),

                queuedTime.snapshot(),
                elapsedTime.snapshot(),

                new Duration(totalScheduledTime, NANOSECONDS).convertToMostSuccinctTimeUnit(),
                new Duration(totalCpuTime, NANOSECONDS).convertToMostSuccinctTimeUnit(),
                new Duration(totalUserTime, NANOSECONDS).convertToMostSuccinctTimeUnit(),
                new Duration(totalBlockedTime, NANOSECONDS).convertToMostSuccinctTimeUnit(),
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        assertEquals(actual.getOutputPositions(), 22);
    }

    private static DistributionSnapshot getTestDistribution(int count)
    {
        Distribution distribution = new Distribution();
        for (int i = 0; i < count; i++) {
            distribution.add(i);
        }
        return distribution.snapshot();
    }
View Full Code Here
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            System.out.println();
            System.out.println("Simulation finished in  " + runtime);
            System.out.println();

            for (Entry<Integer, Collection<SimulationTask>> entry : middleTasks.entrySet()) {
                Distribution durationDistribution = new Distribution();
                Distribution taskParallelismDistribution = new Distribution();

                for (SimulationTask task : entry.getValue()) {
                    long taskStart = Long.MAX_VALUE;
                    long taskEnd = 0;
                    long totalCpuTime = 0;

                    for (SimulationSplit split : task.getSplits()) {
                        taskStart = Math.min(taskStart, split.getStartNanos());
                        taskEnd = Math.max(taskEnd, split.getDoneNanos());
                        totalCpuTime += TimeUnit.MILLISECONDS.toNanos(split.getRequiredProcessMillis());
                    }

                    Duration taskDuration = new Duration(taskEnd - taskStart, NANOSECONDS).convertTo(TimeUnit.MILLISECONDS);
                    durationDistribution.add(taskDuration.toMillis());

                    double taskParallelism = 1.0 * totalCpuTime / (taskEnd - taskStart);
                    taskParallelismDistribution.add((long) (taskParallelism * 100));
                }

                System.out.println("Splits " + entry.getKey() + ": Completed " + entry.getValue().size());

                Map<Double, Long> durationPercentiles = durationDistribution.getPercentiles();
                System.out.printf("   wall time ms :: p01 %4s :: p05 %4s :: p10 %4s :: p97 %4s :: p50 %4s :: p75 %4s :: p90 %4s :: p95 %4s :: p99 %4s\n",
                        durationPercentiles.get(0.01),
                        durationPercentiles.get(0.05),
                        durationPercentiles.get(0.10),
                        durationPercentiles.get(0.25),
                        durationPercentiles.get(0.50),
                        durationPercentiles.get(0.75),
                        durationPercentiles.get(0.90),
                        durationPercentiles.get(0.95),
                        durationPercentiles.get(0.99));

                Map<Double, Long> parallelismPercentiles = taskParallelismDistribution.getPercentiles();
                System.out.printf("    parallelism :: p99 %4.2f :: p95 %4.2f :: p90 %4.2f :: p75 %4.2f :: p50 %4.2f :: p25 %4.2f :: p10 %4.2f :: p05 %4.2f :: p01 %4.2f\n",
                        parallelismPercentiles.get(0.99) / 100.0,
                        parallelismPercentiles.get(0.95) / 100.0,
                        parallelismPercentiles.get(0.90) / 100.0,
                        parallelismPercentiles.get(0.75) / 100.0,
View Full Code Here
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        int queuedPartitionedDrivers = 0;
        int runningDrivers = 0;
        int runningPartitionedDrivers = 0;
        int completedDrivers = this.completedDrivers.get();

        Distribution queuedTime = new Distribution(this.queuedTime);
        Distribution elapsedTime = new Distribution(this.elapsedTime);

        long totalScheduledTime = this.totalScheduledTime.get();
        long totalCpuTime = this.totalCpuTime.get();
        long totalUserTime = this.totalUserTime.get();
        long totalBlockedTime = this.totalBlockedTime.get();

        long rawInputDataSize = this.rawInputDataSize.getTotalCount();
        long rawInputPositions = this.rawInputPositions.getTotalCount();

        long processedInputDataSize = this.processedInputDataSize.getTotalCount();
        long processedInputPositions = this.processedInputPositions.getTotalCount();

        long outputDataSize = this.outputDataSize.getTotalCount();
        long outputPositions = this.outputPositions.getTotalCount();

        List<DriverStats> drivers = new ArrayList<>();

        Multimap<Integer, OperatorStats> runningOperators = ArrayListMultimap.create();
        for (DriverContext driverContext : driverContexts) {
            DriverStats driverStats = driverContext.getDriverStats();
            drivers.add(driverStats);

            if (driverStats.getStartTime() == null) {
                queuedDrivers++;
                if (driverContext.isPartitioned()) {
                    queuedPartitionedDrivers++;
                }
            }
            else {
                runningDrivers++;
                if (driverContext.isPartitioned()) {
                    runningPartitionedDrivers++;
                }
            }

            queuedTime.add(driverStats.getQueuedTime().roundTo(NANOSECONDS));
            elapsedTime.add(driverStats.getElapsedTime().roundTo(NANOSECONDS));

            totalScheduledTime += driverStats.getTotalScheduledTime().roundTo(NANOSECONDS);
            totalCpuTime += driverStats.getTotalCpuTime().roundTo(NANOSECONDS);
            totalUserTime += driverStats.getTotalUserTime().roundTo(NANOSECONDS);
            totalBlockedTime += driverStats.getTotalBlockedTime().roundTo(NANOSECONDS);

            List<OperatorStats> operators = ImmutableList.copyOf(transform(driverContext.getOperatorContexts(), operatorStatsGetter()));
            for (OperatorStats operator : operators) {
                runningOperators.put(operator.getOperatorId(), operator);
            }

            rawInputDataSize += driverStats.getRawInputDataSize().toBytes();
            rawInputPositions += driverStats.getRawInputPositions();

            processedInputDataSize += driverStats.getProcessedInputDataSize().toBytes();
            processedInputPositions += driverStats.getProcessedInputPositions();

            outputDataSize += driverStats.getOutputDataSize().toBytes();
            outputPositions += driverStats.getOutputPositions();
        }

        // merge the operator stats into the operator summary
        TreeMap<Integer, OperatorStats> operatorSummaries = new TreeMap<>();
        for (Entry<Integer, OperatorStats> entry : this.operatorSummaries.entrySet()) {
            OperatorStats operator = entry.getValue();
            operator.add(runningOperators.get(entry.getKey()));
            operatorSummaries.put(entry.getKey(), operator);
        }

        return new PipelineStats(
                inputPipeline,
                outputPipeline,

                totalDriers,
                queuedDrivers,
                queuedPartitionedDrivers,
                runningDrivers,
                runningPartitionedDrivers,
                completedDrivers,

                new DataSize(memoryReservation.get(), BYTE).convertToMostSuccinctDataSize(),

                queuedTime.snapshot(),
                elapsedTime.snapshot(),

                new Duration(totalScheduledTime, NANOSECONDS).convertToMostSuccinctTimeUnit(),
                new Duration(totalCpuTime, NANOSECONDS).convertToMostSuccinctTimeUnit(),
                new Duration(totalUserTime, NANOSECONDS).convertToMostSuccinctTimeUnit(),
                new Duration(totalBlockedTime, NANOSECONDS).convertToMostSuccinctTimeUnit(),
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        assertExpectedDriverStats(actual.getDrivers().get(0));
    }

    private static DistributionSnapshot getTestDistribution(int count)
    {
        Distribution distribution = new Distribution();
        for (int i = 0; i < count; i++) {
            distribution.add(i);
        }
        return distribution.snapshot();
    }
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        assertEquals(actual.getOutputPositions(), 22);
    }

    private static DistributionSnapshot getTestDistribution(int count)
    {
        Distribution distribution = new Distribution();
        for (int i = 0; i < count; i++) {
            distribution.add(i);
        }
        return distribution.snapshot();
    }
View Full Code Here
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            System.out.println();
            System.out.println("Simulation finished in  " + runtime);
            System.out.println();

            for (Entry<Integer, Collection<SimulationTask>> entry : middleTasks.entrySet()) {
                Distribution durationDistribution = new Distribution();
                Distribution taskParallelismDistribution = new Distribution();

                for (SimulationTask task : entry.getValue()) {
                    long taskStart = Long.MAX_VALUE;
                    long taskEnd = 0;
                    long totalCpuTime = 0;

                    for (SimulationSplit split : task.getSplits()) {
                        taskStart = Math.min(taskStart, split.getStartNanos());
                        taskEnd = Math.max(taskEnd, split.getDoneNanos());
                        totalCpuTime += TimeUnit.MILLISECONDS.toNanos(split.getRequiredProcessMillis());
                    }

                    Duration taskDuration = new Duration(taskEnd - taskStart, NANOSECONDS).convertTo(TimeUnit.MILLISECONDS);
                    durationDistribution.add(taskDuration.toMillis());

                    double taskParallelism = 1.0 * totalCpuTime / (taskEnd - taskStart);
                    taskParallelismDistribution.add((long) (taskParallelism * 100));
                }

                System.out.println("Splits " + entry.getKey() + ": Completed " + entry.getValue().size());

                Map<Double, Long> durationPercentiles = durationDistribution.getPercentiles();
                System.out.printf("   wall time ms :: p01 %4s :: p05 %4s :: p10 %4s :: p97 %4s :: p50 %4s :: p75 %4s :: p90 %4s :: p95 %4s :: p99 %4s\n",
                        durationPercentiles.get(0.01),
                        durationPercentiles.get(0.05),
                        durationPercentiles.get(0.10),
                        durationPercentiles.get(0.25),
                        durationPercentiles.get(0.50),
                        durationPercentiles.get(0.75),
                        durationPercentiles.get(0.90),
                        durationPercentiles.get(0.95),
                        durationPercentiles.get(0.99));

                Map<Double, Long> parallelismPercentiles = taskParallelismDistribution.getPercentiles();
                System.out.printf("    parallelism :: p99 %4.2f :: p95 %4.2f :: p90 %4.2f :: p75 %4.2f :: p50 %4.2f :: p25 %4.2f :: p10 %4.2f :: p05 %4.2f :: p01 %4.2f\n",
                        parallelismPercentiles.get(0.99) / 100.0,
                        parallelismPercentiles.get(0.95) / 100.0,
                        parallelismPercentiles.get(0.90) / 100.0,
                        parallelismPercentiles.get(0.75) / 100.0,
View Full Code Here
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            System.out.println();
            System.out.println("Simulation finished in  " + runtime);
            System.out.println();

            for (Entry<Integer, Collection<SimulationTask>> entry : middleTasks.entrySet()) {
                Distribution durationDistribution = new Distribution();
                Distribution taskParallelismDistribution = new Distribution();

                for (SimulationTask task : entry.getValue()) {
                    long taskStart = Long.MAX_VALUE;
                    long taskEnd = 0;
                    long totalCpuTime = 0;

                    for (SimulationSplit split : task.getSplits()) {
                        taskStart = Math.min(taskStart, split.getStartNanos());
                        taskEnd = Math.max(taskEnd, split.getDoneNanos());
                        totalCpuTime += TimeUnit.MILLISECONDS.toNanos(split.getRequiredProcessMillis());
                    }

                    Duration taskDuration = new Duration(taskEnd - taskStart, NANOSECONDS).convertTo(TimeUnit.MILLISECONDS);
                    durationDistribution.add(taskDuration.toMillis());

                    double taskParallelism = 1.0 * totalCpuTime / (taskEnd - taskStart);
                    taskParallelismDistribution.add((long) (taskParallelism * 100));
                }

                System.out.println("Splits " + entry.getKey() + ": Completed " + entry.getValue().size());

                Map<Double, Long> durationPercentiles = durationDistribution.getPercentiles();
                System.out.printf("   wall time ms :: p01 %4s :: p05 %4s :: p10 %4s :: p97 %4s :: p50 %4s :: p75 %4s :: p90 %4s :: p95 %4s :: p99 %4s\n",
                        durationPercentiles.get(0.01),
                        durationPercentiles.get(0.05),
                        durationPercentiles.get(0.10),
                        durationPercentiles.get(0.25),
                        durationPercentiles.get(0.50),
                        durationPercentiles.get(0.75),
                        durationPercentiles.get(0.90),
                        durationPercentiles.get(0.95),
                        durationPercentiles.get(0.99));

                Map<Double, Long> parallelismPercentiles = taskParallelismDistribution.getPercentiles();
                System.out.printf("    parallelism :: p99 %4.2f :: p95 %4.2f :: p90 %4.2f :: p75 %4.2f :: p50 %4.2f :: p25 %4.2f :: p10 %4.2f :: p05 %4.2f :: p01 %4.2f\n",
                        parallelismPercentiles.get(0.99) / 100.0,
                        parallelismPercentiles.get(0.95) / 100.0,
                        parallelismPercentiles.get(0.90) / 100.0,
                        parallelismPercentiles.get(0.75) / 100.0,
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        assertExpectedDriverStats(actual.getDrivers().get(0));
    }

    private static DistributionSnapshot getTestDistribution(int count)
    {
        Distribution distribution = new Distribution();
        for (int i = 0; i < count; i++) {
            distribution.add(i);
        }
        return distribution.snapshot();
    }
View Full Code Here
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Related Classes of io.airlift.stats.Distribution

  • com.facebook.presto.execution.TaskExecutorSimulator
  • com.facebook.presto.execution.TestStageStats
  • com.facebook.presto.operator.PipelineContext
  • com.facebook.presto.operator.TestPipelineStats
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