public GaugeMetricValue(TimeRange timeRange) { this.range = timeRange; this.min = NaN; this.max = NaN; this.n = 0; this.sum = 0.0; this.sumOfSquares = 0.0; this.histo = new SparseHistogram(InsightGaugeHistogramDefinition.getInstance(), new ArrayList<IndexedBin>()); }
/** * Returns a sparse histogram of all the data accumulated so far. */ public SparseHistogram getSparseHistogram() { List<IndexedBin> res = new ArrayList<IndexedBin>(binData.size()); for (Map.Entry<Integer, MutableLong> ent : binData.entrySet()) { res.add(new IndexedBin(ent.getKey().intValue(), ent.getValue().get())); } sort(res); return new SparseHistogram(def, res); } }
public SparseHistogram getSparseHistogram (HistogramDefinition def) { if (def == null) { throw new IllegalArgumentException("No target definition"); } if (def.equals(getHistogramDefinition())) { return this; } Map<Integer,MutableDouble> binCountsMap=translate(def); if (MapUtil.size(binCountsMap) <= 0) { return new SparseHistogram(def, null); } List<IndexedBin> resBins=new ArrayList<IndexedBin>(binCountsMap.size()); for (Map.Entry<Integer,MutableDouble> binEntry : binCountsMap.entrySet()) { Integer binNumber=binEntry.getKey(); MutableDouble binValue=binEntry.getValue(); long binCount=Math.round(binValue.get()); if (binCount == 0L) { continue; } resBins.add(new IndexedBin(binNumber.intValue(), binCount)); } Collections.sort(resBins); return new SparseHistogram(def, resBins); }
public void fromData(DataInput dataInput) throws IOException { super.fromData(serialVersionUID, dataInput); int numSlots = dataInput.readInt(); GaugeMetricValue[] slots = new GaugeMetricValue[numSlots]; int usedSlots = dataInput.readInt(); for (int i=0; i<usedSlots; i++) { int slotIdx = dataInput.readInt(); double min = dataInput.readDouble(); double max = dataInput.readDouble(); long n = dataInput.readLong(); double sum = dataInput.readDouble(); double sumOfSquares = dataInput.readDouble(); long rangeStart = dataInput.readLong(); long rangeEnd = rangeStart + getEntryGranularity().getNanos(); int numBins = dataInput.readInt(); List<IndexedBin> bins = new ArrayList<IndexedBin>(numBins); for (int b=0; b<numBins; b++) { bins.add(new IndexedBin(dataInput.readInt(), dataInput.readLong())); } slots[slotIdx] = new GaugeMetricValue(TimeRange.nanoTimeRange(rangeStart, rangeEnd), min, max, n, sum, sumOfSquares, new SparseHistogram(InsightGaugeHistogramDefinition.getInstance(), bins)); } this.slots = Arrays.asList(slots); }
@Override public SparseHistogram deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException, JsonProcessingException { HistogramDefinition histo=null; Collection<IndexedBin> bins=null; while (jp.nextToken() != JsonToken.END_OBJECT) { String fieldName = jp.getCurrentName(); jp.nextToken(); if ("bins".equals(fieldName)) { bins = readObjectsList(jp, fieldName, IndexedBin.class, bins); } else if ("histogramDefinition".equals(fieldName)) { if (histo != null) { throw new StreamCorruptedException("Multiple histogram definitions"); } histo = jp.readValueAs(HistogramDefinition.class); } else { throw new StreamCorruptedException("Unknown field: " + fieldName); } } if (histo == null) { histo = InsightGaugeHistogramDefinition.getInstance(); } if (bins == null) { return new SparseHistogram(histo); } List<IndexedBin> binsList=new ArrayList<IndexedBin>(bins); Collections.sort(binsList); return new SparseHistogram(histo, binsList); }
public static UpdateMetricDistributionCommand getUpdateGauge() { ResourceMetricKey key = ResourceMetricKey.valueOf(getServerResourceCommand("butter", "butter-label").getResource().getKey(), Metrics.ENDPOINT_RESPONSE_TIME); IndexedBin bin1 = new IndexedBin(1, 4); IndexedBin bin2 = new IndexedBin(2, 6); SparseHistogram histo = new SparseHistogram(InsightGaugeHistogramDefinition.getInstance(), Arrays.asList(bin1, bin2)); GaugeMetricValue gauge = new GaugeMetricValue(TimeRange.range(0, 56), 34, 80, 40, 400, 600,histo); return new UpdateMetricDistributionCommand(key, gauge); }