Example usage for org.joda.time DateTime now

Introduction

In this page you can find the example usage for org.joda.time DateTime now.

Prototype

public static DateTime now() 

Source Link

Document

Obtains a DateTime set to the current system millisecond time using ISOChronology in the default time zone.

Usage

From source file:com.amazonaws.services.kinesis.log4j.helpers.AsyncPutCallStatsReporter.java

License:Open Source License

/**
 * This method is invoked when a log record is successfully sent to Kinesis.
 * Though this is not too useful for production use cases, it provides a good
 * debugging tool while tweaking parameters for the appender.
 *//*from  w  w w  . j av a2s  .  c om*/
@Override
public void onSuccess(PutRecordRequest request, PutRecordResult result) {
    successfulRequestCount++;
    if (logger.isDebugEnabled() && (successfulRequestCount + failedRequestCount) % 3000 == 0) {
        logger.debug("Appender (" + appenderName + ") made " + successfulRequestCount
                + " successful put requests out of total " + (successfulRequestCount + failedRequestCount)
                + " in " + PeriodFormat.getDefault().print(new Period(startTime, DateTime.now()))
                + " since start");
    }
}

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From source file:com.anrisoftware.prefdialog.miscswing.logwindowdock.ErrorNode.java

License:Open Source License

@Inject
ErrorNode(@Assisted ErrorCategory category) {
    super(category);
    this.time = DateTime.now();
}

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From source file:com.anrisoftware.prefdialog.miscswing.logwindowdock.InfoNode.java

License:Open Source License

@Inject
InfoNode(@Assisted InfoCategory category) {
    super(category);
    this.time = DateTime.now();
}

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From source file:com.arpnetworking.clusteraggregator.aggregation.Aggregator.java

License:Apache License

private void processAggregationMessage(final AggregatedData data) {
    //First message sets the data we know about this actor
    if (!_initialized) {
        _period = data.getPeriod();/*from w ww  .j  a  v  a2s .  co m*/
        _cluster = data.getFQDSN().getCluster();
        _metric = data.getFQDSN().getMetric();
        _service = data.getFQDSN().getService();
        _statistic = data.getFQDSN().getStatistic();
        _resultBuilder = new AggregatedData.Builder()
                .setFQDSN(new FQDSN.Builder().setCluster(_cluster).setMetric(_metric).setService(_service)
                        .setStatistic(_statistic).build())
                .setHost(_cluster + "-cluster").setPeriod(_period).setPopulationSize(1L)
                .setSamples(Collections.<Quantity>emptyList())
                .setStart(DateTime.now().hourOfDay().roundFloorCopy())
                .setValue(new Quantity(0, Optional.<Unit>absent()));

        _lifecycleTracker.tell(new AggregatorLifecycle.NotifyAggregatorStarted(_resultBuilder.build()),
                getSelf());

        _initialized = true;
        _log.debug(String.format("Initialized aggregator for %s %s %s %s %s", _cluster, _service, _metric,
                _statistic, _period));
    } else if (!(_period.equals(data.getPeriod())) && _cluster.equals(data.getFQDSN().getCluster())
            && _service.equals(data.getFQDSN().getService()) && _metric.equals(data.getFQDSN().getMetric())
            && _statistic.equals(data.getFQDSN().getStatistic())) {
        _log.error(String.format("Aggregator for %s %s %s %s %s received a message with %s %s %s %s %s",
                _cluster, _service, _metric, _statistic, _period, data.getFQDSN().getCluster(),
                data.getFQDSN().getService(), data.getFQDSN().getMetric(), data.getFQDSN().getStatistic(),
                data.getPeriod()));
    }
    //Find the time bucket to dump this in
    if (_aggBuckets.size() > 0 && _aggBuckets.getFirst().getPeriodStart().isAfter(data.getPeriodStart())) {
        //We got a bit of data that is too old for us to aggregate.
        _log.warning(String.format(
                "Received a work item that is too old to aggregate: work item period starts at %s, "
                        + "bucket period starts at %s",
                data.getPeriodStart(), _aggBuckets.getFirst().getPeriodStart()));
    } else {
        if (_aggBuckets.size() == 0 || _aggBuckets.getLast().getPeriodStart().isBefore(data.getPeriodStart())) {
            //We need to create a new bucket to hold this data.
            _log.debug("Creating new aggregation bucket for period starting at " + data.getPeriodStart());
            _aggBuckets.add(new AggregationBucket(data.getPeriodStart()));
        }
        final Iterator<AggregationBucket> bucketIterator = _aggBuckets.iterator();
        AggregationBucket currentBucket;
        AggregationBucket correctBucket = null;
        while (bucketIterator.hasNext()) {
            currentBucket = bucketIterator.next();
            if (currentBucket.getPeriodStart().equals(data.getPeriodStart())) {
                //We found the correct bucket
                correctBucket = currentBucket;
                break;
            }
        }

        if (correctBucket == null) {
            _log.error("No bucket found to aggregate into, bug in the bucket walk");
        } else {
            correctBucket.getAggregatedData().add(data);
        }
    }
}

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From source file:com.arpnetworking.clusteraggregator.aggregation.StreamingAggregator.java

License:Apache License

private void processAggregationMessage(final Messages.StatisticSetRecord data) {
    final CombinedMetricData metricData = CombinedMetricData.Builder.fromStatisticSetRecord(data).build();
    //First message sets the data we know about this actor
    if (!_initialized) {
        _period = metricData.getPeriod();
        _cluster = metricData.getCluster();
        _metric = metricData.getMetricName();
        _service = metricData.getService();
        _resultBuilder = new AggregatedData.Builder().setHost(createHost()).setPeriod(_period)
                .setPopulationSize(1L).setSamples(Collections.<Quantity>emptyList())
                .setStart(DateTime.now().hourOfDay().roundFloorCopy())
                .setValue(new Quantity.Builder().setValue(0d).build());

        _initialized = true;//from  ww  w . j  a  va 2 s  .com
        LOGGER.debug().setMessage("Initialized aggregator").addContext("actor", self()).log();
    } else if (!(_period.equals(metricData.getPeriod()) && _cluster.equals(metricData.getCluster())
            && _service.equals(metricData.getService()) && _metric.equals(metricData.getMetricName()))) {
        LOGGER.error().setMessage("Received a work item for another aggregator").addData("workItem", data)
                .addContext("actor", self()).log();
    }
    //Find the time bucket to dump this in
    final DateTime periodStart = DateTime.parse(data.getPeriodStart());
    if (_aggBuckets.size() > 0 && _aggBuckets.getFirst().getPeriodStart().isAfter(periodStart)) {
        //We got a bit of data that is too old for us to aggregate.
        LOGGER.warn().setMessage("Received a work item that is too old to aggregate")
                .addData("bucketStart", _aggBuckets.getFirst().getPeriodStart()).addData("workItem", data)
                .addContext("actor", self()).log();
    } else {
        if (_aggBuckets.size() == 0 || _aggBuckets.getLast().getPeriodStart().isBefore(periodStart)) {
            //We need to create a new bucket to hold this data.
            LOGGER.debug().setMessage("Creating new aggregation bucket for period")
                    .addData("period", periodStart).addContext("actor", self()).log();
            _aggBuckets.add(new StreamingAggregationBucket(periodStart));
        }
        final Iterator<StreamingAggregationBucket> bucketIterator = _aggBuckets.iterator();
        StreamingAggregationBucket currentBucket;
        StreamingAggregationBucket correctBucket = null;
        while (bucketIterator.hasNext()) {
            currentBucket = bucketIterator.next();
            if (currentBucket.getPeriodStart().equals(periodStart)) {
                //We found the correct bucket
                correctBucket = currentBucket;
                break;
            }
        }

        if (correctBucket == null) {
            LOGGER.error().setMessage("No bucket found to aggregate into, bug in the bucket walk")
                    .addContext("actor", self()).log();
        } else {
            LOGGER.debug().setMessage("Updating bucket").addData("bucket", correctBucket)
                    .addData("data", metricData).addContext("actor", self()).log();
            correctBucket.update(metricData);
            LOGGER.debug().setMessage("Done updating bucket").addData("bucket", correctBucket)
                    .addContext("actor", self()).log();
        }
    }
}

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From source file:com.arpnetworking.clusteraggregator.client.AggClientConnection.java

License:Apache License

private Optional<AggregatedData> getAggData(final Messages.LegacyAggRecord aggRecord) {
    try {//from  ww w  . j  a va 2s  .  c o m
        long sampleCount = 1;
        if (aggRecord.hasRawSampleCount()) {
            sampleCount = aggRecord.getRawSampleCount();
        } else if (aggRecord.getStatisticSamplesCount() > 0) {
            sampleCount = aggRecord.getStatisticSamplesCount();
        }

        final Period period = Period.parse(aggRecord.getPeriod());
        DateTime periodStart;
        if (aggRecord.hasPeriodStart()) {
            periodStart = DateTime.parse(aggRecord.getPeriodStart());
        } else {
            periodStart = DateTime.now().withTime(DateTime.now().getHourOfDay(), 0, 0, 0);
            while (periodStart.plus(period).isBeforeNow()) {
                periodStart = periodStart.plus(period);
            }
        }

        final Optional<Statistic> statisticOptional = _statisticFactory
                .createStatistic(aggRecord.getStatistic());
        if (!statisticOptional.isPresent()) {
            _log.error(String.format("Unsupported statistic %s", aggRecord.getStatistic()));
            return Optional.absent();
        }

        return Optional.of(new AggregatedData.Builder().setHost(_hostName.get())
                .setFQDSN(new FQDSN.Builder().setCluster(_clusterName.get()).setService(aggRecord.getService())
                        .setMetric(aggRecord.getMetric()).setStatistic(statisticOptional.get()).build())
                .setPeriod(Period.parse(aggRecord.getPeriod())).setStart(periodStart)
                .setPopulationSize(sampleCount)
                .setSamples(sampleizeDoubles(aggRecord.getStatisticSamplesList(), Optional.<Unit>absent()))
                .setValue(new Quantity(aggRecord.getStatisticValue(), Optional.<Unit>absent())).build());
        // CHECKSTYLE.OFF: IllegalCatch - The legacy parsing can throw a variety of runtime exceptions
    } catch (final RuntimeException e) {
        // CHECKSTYLE.ON: IllegalCatch
        _log.error("Caught an error parsing legacy agg record", e);
        return Optional.absent();
    }
}

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From source file:com.arpnetworking.metrics.common.tailer.FilePositionStore.java

License:Apache License

/**
 * {@inheritDoc}/*from w  ww  .j av a  2  s  .  c  om*/
 */
@Override
public void setPosition(final String identifier, final long position) {
    final Descriptor descriptor = _state.putIfAbsent(identifier,
            new Descriptor.Builder().setPosition(position).build());

    final DateTime now = DateTime.now();
    boolean requiresFlush = now.minus(_flushInterval).isAfter(_lastFlush);
    if (descriptor != null) {
        descriptor.update(position, now);
        requiresFlush = requiresFlush || descriptor.getDelta() > _flushThreshold;
    }
    if (requiresFlush) {
        flush();
    }
}

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From source file:com.arpnetworking.metrics.common.tailer.FilePositionStore.java

License:Apache License

private void flush() {
    // Age out old state
    final DateTime now = DateTime.now();
    final DateTime oldest = now.minus(_retention);
    final long sizeBefore = _state.size();
    final Iterator<Map.Entry<String, Descriptor>> iterator = _state.entrySet().iterator();
    while (iterator.hasNext()) {
        final Map.Entry<String, Descriptor> entry = iterator.next();
        if (!oldest.isBefore(entry.getValue().getLastUpdated())) {
            // Remove old descriptors
            iterator.remove();/* w  ww.j  a  v a 2s .  c o m*/
        } else {
            // Mark retained descriptors as flushed
            entry.getValue().flush();
        }
    }
    final long sizeAfter = _state.size();
    if (sizeBefore != sizeAfter) {
        LOGGER.debug().setMessage("Removed old entries from file position store")
                .addData("sizeBefore", sizeBefore).addData("sizeAfter", sizeAfter).log();
    }

    // Persist the state to disk
    try {
        final Path temporaryFile = Paths.get(_file.toAbsolutePath().toString() + ".tmp");
        OBJECT_MAPPER.writeValue(temporaryFile.toFile(), _state);
        Files.move(temporaryFile, _file, StandardCopyOption.REPLACE_EXISTING);

        LOGGER.debug().setMessage("Persisted file position state to disk").addData("size", _state.size())
                .addData("file", _file).log();
    } catch (final IOException ioe) {
        throw Throwables.propagate(ioe);
    } finally {
        _lastFlush = now;
    }
}

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From source file:com.arpnetworking.metrics.generator.Generator.java

License:Apache License

private void generateTestFiles(final RandomGenerator mersenneTwister) throws IOException {
    //TODO(barp): Set these parameters from command line args [ISSUE-1]
    final List<Integer> metricSamplesPerUOW = Lists.newArrayList(1, 5, 25);
    final List<Integer> uowPerInterval = Lists.newArrayList(10000, 50000, 250000);
    final List<Integer> metricNamesPerUOW = Lists.newArrayList(1, 10, 100);
    final String clusterName = "MyPerformanceTestedCluster";
    final String serviceName = "MyPerformanceTestedService";

    final DateTime start = DateTime.now().hourOfDay().roundFloorCopy();
    final DateTime stop = start.plusMinutes(10);
    for (final Integer uowCount : uowPerInterval) {
        for (final Integer namesCount : metricNamesPerUOW) {
            for (final Integer samplesCount : metricSamplesPerUOW) {
                final Path fileName = Paths
                        .get(String.format("logs/r_%08d_m_%03d_s_%03d", uowCount, namesCount, samplesCount));

                final TestFileGenerator testFileGenerator = new TestFileGenerator.Builder()
                        .setRandom(mersenneTwister).setUnitOfWorkCount(uowCount).setNamesCount(namesCount)
                        .setSamplesCount(samplesCount).setStartTime(start).setEndTime(stop)
                        .setFileName(fileName).setClusterName(clusterName).setServiceName(serviceName).build();
                testFileGenerator.generate();
            }//from w  ww  .j a  v a 2s .  c om
        }
    }
}

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From source file:com.arpnetworking.metrics.generator.util.RealTimeExecutor.java

License:Apache License

/**
 * Public constructor./*w  ww.  ja  v  a  2 s. co  m*/
 *
 * @param generators List of UOW generators.
 * @param outputPath File to write metrics to.
 * @param clusterName The cluster to generate metrics for.
 * @param serviceName The service to generate metrics for.
 */
public RealTimeExecutor(final List<UnitOfWorkSchedule> generators, final Path outputPath,
        final String clusterName, final String serviceName) {
    _generators = generators;
    _workEntries = new PriorityQueue<>(generators.size(), new WorkItemOrdering());
    _modifyingSink = new GeneratorSink(outputPath, DateTime.now());

    _metricsFactory = new TsdMetricsFactory.Builder().setClusterName(clusterName).setServiceName(serviceName)
            .setSinks(Collections.<Sink>singletonList(_modifyingSink)).build();
}

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