Examples of net.opentsdb.core.Query.downsample()

net.opentsdb.core.Query.downsample()

Downsamples the results by specifying a fixed interval between points.

Technically, downsampling means reducing the sampling interval. Here the idea is similar. Instead of returning every single data point that matched the query, we want one data point per fixed time interval. The way we get this one data point is by aggregating all the data points of that interval together using an {@link Aggregator}. This enables you to compute things like the 5-minute average or 10 minute 99th percentile. @param interval Number of seconds wanted between each data point. @param downsampler Aggregation function to use to group data pointswithin an interval.

        } catch (NoSuchElementException e) {
          throw new BadRequestException("No such downsampling function: "
                                        + parts[1].substring(dash + 1));
        }
        final long interval = DateTime.parseDuration(parts[1].substring(0, dash));
        tsdbquery.downsample(interval, downsampler);
      } else {
        tsdbquery.downsample(1000, agg);
      }
      tsdbqueries[nqueries++] = tsdbquery;
    }

                                        + parts[1].substring(dash + 1));
        }
        final long interval = DateTime.parseDuration(parts[1].substring(0, dash));
        tsdbquery.downsample(interval, downsampler);
      } else {
        tsdbquery.downsample(1000, agg);
      }
      tsdbqueries[nqueries++] = tsdbquery;
    }
    return tsdbqueries;
  }

      if (end_ts > 0) {
        query.setEndTime(end_ts);
      }
      query.setTimeSeries(metric, tags, agg, rate, rate_options);
      if (downsample) {
        query.downsample(interval, sampler);
      }
      queries.add(query);
    }
  }

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