示例#1
0
 private static Sampleable[] checkDataSources(String rrdPath, Sampleable[] sampleables)
     throws IOException {
   RrdDb rrdDb = new RrdDb(rrdPath, true);
   List<Sampleable> missing = new ArrayList<Sampleable>();
   for (Sampleable sampleable : sampleables) {
     if (rrdDb.getDatasource(sampleable.getName()) == null) {
       missing.add(sampleable);
     }
   }
   rrdDb.close();
   return missing.toArray(new Sampleable[missing.size()]);
 }
示例#2
0
  @Test
  public void testRrdFileCreationForGaugeDataSource() throws Exception {
    // Set sample rate to 1 sec (default is 60 seconds) so that unit test runs quickly
    int sampleRate = 1;
    createJmxCollector("Uptime", JmxCollector.GAUGE_DATA_SOURCE_TYPE, sampleRate);

    String rrdFilename = jmxCollector.getRrdPath();
    assertThat(rrdFilename, is(TEST_DIR + rrdPath));

    rrdDb = new RrdDb(rrdFilename);
    assertThat(rrdDb, not(nullValue()));
    assertThat(rrdDb.isClosed(), is(false));

    Header header = rrdDb.getHeader();
    assertThat(header, not(nullValue()));
    assertThat(header.getStep(), is((long) sampleRate)); // verify 60 second sample rate

    assertThat(rrdDb.getDsCount(), is(1));
    Datasource dataSource = rrdDb.getDatasource(dataSourceName);
    assertThat(dataSource, not(nullValue()));
    DsType dataSourceType = dataSource.getType();
    assertThat(dataSourceType, is(DsType.GAUGE));

    assertThat(rrdDb.getArcCount(), is(8));

    Archive archive = rrdDb.getArchive(ConsolFun.MIN, 1);
    assertThat(archive, not(nullValue()));
    assertThat(archive.getRows(), is(60));

    archive = rrdDb.getArchive(ConsolFun.MIN, 15);
    assertThat(archive, not(nullValue()));
    assertThat(archive.getRows(), is(JmxCollector.ONE_YEAR_IN_15_MINUTE_STEPS));

    archive = rrdDb.getArchive(ConsolFun.MAX, 1);
    assertThat(archive, not(nullValue()));
    assertThat(archive.getRows(), is(60));

    archive = rrdDb.getArchive(ConsolFun.MAX, 15);
    assertThat(archive, not(nullValue()));
    assertThat(archive.getRows(), is(JmxCollector.ONE_YEAR_IN_15_MINUTE_STEPS));

    archive = rrdDb.getArchive(ConsolFun.AVERAGE, 1);
    assertThat(archive, not(nullValue()));
    assertThat(archive.getRows(), is(60));

    archive = rrdDb.getArchive(ConsolFun.AVERAGE, 15);
    assertThat(archive, not(nullValue()));
    assertThat(archive.getRows(), is(JmxCollector.ONE_YEAR_IN_15_MINUTE_STEPS));
  }
示例#3
0
  /**
   * Retrieves the RRD stored data for the specified metric over the specified time range.
   *
   * @param rrdFilename the name of the RRD file containing the metric's data
   * @param startTime start time, in seconds since Unix epoch, to fetch metric's data
   * @param endTime end time, in seconds since Unix epoch, to fetch metric's data
   * @return domain object containing the metric's sampled data, which consists of the timestamps
   *     and their associated values, and the total count of the sampled data
   * @throws IOException
   * @throws MetricsGraphException
   */
  private MetricData getMetricData(String rrdFilename, long startTime, long endTime)
      throws IOException, MetricsGraphException {
    LOGGER.trace("ENTERING: getMetricData");

    // Create RRD DB in read-only mode for the specified RRD file
    RrdDb rrdDb = new RrdDb(rrdFilename, true);

    // Extract the data source (should always only be one data source per RRD file - otherwise we
    // have a problem)
    if (rrdDb.getDsCount() != 1) {
      throw new MetricsGraphException(
          "Only one data source per RRD file is supported - RRD file "
              + rrdFilename
              + " has "
              + rrdDb.getDsCount()
              + " data sources.");
    }

    // The step (sample) interval that determines how often RRD collects the metric's data
    long rrdStep = rrdDb.getRrdDef().getStep();

    // Retrieve the RRD file's data source type (COUNTER or GAUGE) to determine how (later)
    // to store the metric's data for presentation.
    DsType dataSourceType = rrdDb.getDatasource(0).getType();

    // Fetch the metric's data from the RRD file for the specified time range
    FetchRequest fetchRequest = rrdDb.createFetchRequest(ConsolFun.TOTAL, startTime, endTime);
    FetchData fetchData = fetchRequest.fetchData();
    long[] timestamps = fetchData.getTimestamps();
    double[] values = fetchData.getValues(0);

    // Done retrieving data from the RRD database - close it, otherwise no one else will
    // be able to access it later.
    rrdDb.close();

    // The lists of the metric's timestamps and their associated values that have non-"NaN" values
    List<Long> validTimestamps = new ArrayList<Long>();
    List<Double> validValues = new ArrayList<Double>();

    long totalCount = 0;
    MetricData metricData = new MetricData();

    if (dataSourceType == DsType.COUNTER) {
      // Counters are for constantly incrementing data, hence they can
      // have a summation of their totals
      metricData.setHasTotalCount(true);
      for (int i = 0; i < timestamps.length; i++) {
        // Filter out the RRD values that have not yet been sampled (they will
        // have been set to NaN as a placeholder when the RRD file was created)
        if (!Double.toString(values[i]).equals("NaN")) {
          // RRD averages the collected samples over the step interval.
          // To "undo" this averaging and get the actual count, need to
          // multiply the sampled data value by the RRD step interval.
          double nonAveragedValue = (double) (values[i] * rrdStep);
          validTimestamps.add(timestamps[i]);
          validValues.add(nonAveragedValue);
          totalCount += (long) nonAveragedValue;
        }
      }
    } else if (dataSourceType == DsType.GAUGE) {
      // Gauges are for data that waxes and wanes, hence no total count
      metricData.setHasTotalCount(false);
      for (int i = 0; i < timestamps.length; i++) {
        // Filter out the RRD values that have not yet been sampled (they will
        // have been set to NaN as a placeholder when the RRD file was created)
        if (!Double.toString(values[i]).equals("NaN")) {
          validTimestamps.add(timestamps[i]);
          validValues.add(values[i]);
        }
      }
    }

    metricData.setTimestamps(validTimestamps);
    metricData.setValues(validValues);
    metricData.setTotalCount(totalCount);

    LOGGER.trace("EXITING: getMetricData");

    return metricData;
  }
示例#4
0
  @Override
  public byte[] createGraph(
      String metricName,
      String rrdFilename,
      long startTime,
      long endTime,
      String verticalAxisLabel,
      String title)
      throws IOException, MetricsGraphException {
    // Create RRD DB in read-only mode for the specified RRD file
    RrdDb rrdDb = new RrdDb(rrdFilename, true);

    // Extract the data source (should always only be one data source per RRD file - otherwise we
    // have a problem)
    if (rrdDb.getDsCount() != 1) {
      throw new MetricsGraphException(
          "Only one data source per RRD file is supported - RRD file "
              + rrdFilename
              + " has "
              + rrdDb.getDsCount()
              + " data sources.");
    }

    // Define attributes of the graph to be created for this metric
    RrdGraphDef graphDef = new RrdGraphDef();
    graphDef.setTimeSpan(startTime, endTime);
    graphDef.setImageFormat("PNG");
    graphDef.setShowSignature(false);
    graphDef.setStep(60);
    graphDef.setVerticalLabel(verticalAxisLabel);
    graphDef.setHeight(500);
    graphDef.setWidth(1000);
    graphDef.setTitle(title);

    DsType dataSourceType = rrdDb.getDatasource(0).getType();

    // Determine if the Data Source for this RRD file is a COUNTER or GAUGE
    // (Need to know this because COUNTER data is averaged across samples and the vertical axis of
    // the
    // generated graph by default will show data per rrdStep interval)
    if (dataSourceType == DsType.COUNTER) {
      // If we ever needed to adjust the metric's data collected by RRD by the archive step
      // (which is the rrdStep * archiveSampleCount) this is how to do it.
      //            FetchRequest fetchRequest = rrdDb.createFetchRequest(ConsolFun.AVERAGE,
      // startTime, endTime);
      //            Archive archive = rrdDb.findMatchingArchive(fetchRequest);
      //            long archiveStep = archive.getArcStep();
      //            LOGGER.debug("archiveStep = " + archiveStep);
      long rrdStep = rrdDb.getRrdDef().getStep();
      LOGGER.debug("rrdStep = " + rrdStep);

      // Still TBD if we want to graph the AVERAGE data on the same graph
      //            graphDef.comment(metricName + "   ");
      //            graphDef.datasource("myAverage", rrdFilename, "data", ConsolFun.AVERAGE);
      //            graphDef.datasource("realAverage", "myAverage," + rrdStep + ",*");
      //            graphDef.line("realAverage", Color.GREEN, "Average", 2);

      // Multiplied by the rrdStep to "undo" the automatic averaging that RRD does
      // when it collects TOTAL data - we want the actual totals for the step, not
      // the average of the totals.
      graphDef.datasource("myTotal", rrdFilename, "data", ConsolFun.TOTAL);
      graphDef.datasource("realTotal", "myTotal," + rrdStep + ",*");
      graphDef.line("realTotal", Color.BLUE, convertCamelCase(metricName), 2);

      // Add some spacing between the graph and the summary stats shown beneath the graph
      graphDef.comment("\\s");
      graphDef.comment("\\s");
      graphDef.comment("\\c");

      // Average, Min, and Max over all of the TOTAL data - displayed at bottom of the graph
      graphDef.gprint("realTotal", ConsolFun.AVERAGE, "Average = %.3f%s");
      graphDef.gprint("realTotal", ConsolFun.MIN, "Min = %.3f%s");
      graphDef.gprint("realTotal", ConsolFun.MAX, "Max = %.3f%s");
    } else if (dataSourceType == DsType.GAUGE) {
      graphDef.datasource("myAverage", rrdFilename, "data", ConsolFun.AVERAGE);
      graphDef.line("myAverage", Color.RED, convertCamelCase(metricName), 2);

      // Add some spacing between the graph and the summary stats shown beneath the graph
      graphDef.comment("\\s");
      graphDef.comment("\\s");
      graphDef.comment("\\c");

      // Average, Min, and Max over all of the AVERAGE data - displayed at bottom of the graph
      graphDef.gprint("myAverage", ConsolFun.AVERAGE, "Average = %.3f%s");
      graphDef.gprint("myAverage", ConsolFun.MIN, "Min = %.3f%s");
      graphDef.gprint("myAverage", ConsolFun.MAX, "Max = %.3f%s");
    } else {
      rrdDb.close();
      throw new MetricsGraphException(
          "Unsupported data source type "
              + dataSourceType.name()
              + " in RRD file "
              + rrdFilename
              + ", only COUNTER and GAUGE data source types supported.");
    }

    rrdDb.close();

    // Use "-" as filename so that RRD creates the graph only in memory (no file is
    // created, hence no file locking problems due to race conditions between multiple clients)
    graphDef.setFilename("-");
    RrdGraph graph = new RrdGraph(graphDef);

    return graph.getRrdGraphInfo().getBytes();
  }