@Override
 public DateTime getMaxTime() {
   final IndexedLongs timestamps = index.getReadOnlyTimestamps();
   final DateTime retVal = new DateTime(timestamps.get(timestamps.size() - 1));
   Closeables.closeQuietly(timestamps);
   return retVal;
 }
示例#2
0
  public static Index convertMMapToIndex(MMappedIndex mmappedIndex) {
    Indexed<String> dimsIndexed = mmappedIndex.getAvailableDimensions();
    String[] dimensions = new String[dimsIndexed.size()];
    for (int i = 0; i < dimsIndexed.size(); ++i) {
      dimensions[i] = dimsIndexed.get(i);
    }

    Indexed<String> metricsIndexed = mmappedIndex.getAvailableMetrics();
    String[] metrics = new String[metricsIndexed.size()];
    for (int i = 0; i < metricsIndexed.size(); ++i) {
      metrics[i] = metricsIndexed.get(i);
    }

    IndexedLongs timeBuf = mmappedIndex.getReadOnlyTimestamps();
    long[] timestamps = new long[timeBuf.size()];
    timeBuf.fill(0, timestamps);
    Closeables.closeQuietly(timeBuf);

    Map<String, MetricHolder> metricVals = Maps.newLinkedHashMap();
    for (String metric : metrics) {
      MetricHolder holder = mmappedIndex.getMetricHolder(metric);
      switch (holder.getType()) {
        case FLOAT:
          IndexedFloats mmappedFloats = holder.getFloatType();
          float[] metricValsArray = new float[mmappedFloats.size()];
          mmappedFloats.fill(0, metricValsArray);
          Closeables.closeQuietly(mmappedFloats);

          metricVals.put(
              metric,
              MetricHolder.floatMetric(
                  metric,
                  CompressedFloatsIndexedSupplier.fromFloatBuffer(
                      FloatBuffer.wrap(metricValsArray), ByteOrder.nativeOrder())));
          break;
        case COMPLEX:
          Indexed complexObjects = holder.getComplexType();
          Object[] vals = new Object[complexObjects.size()];
          for (int i = 0; i < complexObjects.size(); ++i) {
            vals[i] = complexObjects.get(i);
          }

          final ComplexMetricSerde serde = ComplexMetrics.getSerdeForType(holder.getTypeName());
          if (serde == null) {
            throw new ISE("Unknown type[%s]", holder.getTypeName());
          }

          metricVals.put(
              metric,
              MetricHolder.complexMetric(
                  metric,
                  holder.getTypeName(),
                  new ArrayIndexed(vals, serde.getObjectStrategy().getClazz())));
          break;
      }
    }

    Map<String, Map<String, Integer>> dimIdLookup = Maps.newHashMap();
    Map<String, String[]> reverseDimLookup = Maps.newHashMap();
    Map<String, ImmutableConciseSet[]> invertedIndexesMap = Maps.newHashMap();
    Map<String, DimensionColumn> dimensionColumns = Maps.newHashMap();

    for (String dimension : dimensions) {
      final Indexed<String> dimValueLookup = mmappedIndex.getDimValueLookup(dimension);
      String[] values = new String[dimValueLookup.size()];
      for (int i = 0; i < dimValueLookup.size(); ++i) {
        values[i] = dimValueLookup.get(i);
      }

      Map<String, Integer> lookupMap = Maps.newHashMapWithExpectedSize(dimValueLookup.size());
      for (int i = 0; i < values.length; i++) {
        lookupMap.put(values[i], i);
      }

      ImmutableConciseSet[] invertedIndexes = new ImmutableConciseSet[values.length];
      final Indexed<String> dimValuesIndexed = mmappedIndex.getDimValueLookup(dimension);
      for (int i = 0; i < dimValuesIndexed.size(); ++i) {
        invertedIndexes[i] = mmappedIndex.getInvertedIndex(dimension, dimValuesIndexed.get(i));
      }

      int[] dimValues = new int[timestamps.length];
      Map<List<Integer>, Integer> rowGroupings = Maps.newHashMap();
      final Indexed<? extends IndexedInts> dimColumn = mmappedIndex.getDimColumn(dimension);
      for (int i = 0; i < dimColumn.size(); ++i) {
        int[] expansionValue = Indexedids.arrayFromIndexedInts(dimColumn.get(i));
        Integer value = rowGroupings.get(Ints.asList(expansionValue));
        if (value == null) {
          value = rowGroupings.size();
          rowGroupings.put(Ints.asList(expansionValue), value);
        }
        dimValues[i] = value;
      }

      int[][] expansionValues = new int[rowGroupings.size()][];
      for (Map.Entry<List<Integer>, Integer> entry : rowGroupings.entrySet()) {
        expansionValues[entry.getValue()] = Ints.toArray(entry.getKey());
      }

      dimIdLookup.put(dimension, lookupMap);
      reverseDimLookup.put(dimension, values);
      invertedIndexesMap.put(dimension, invertedIndexes);
      dimensionColumns.put(dimension, new DimensionColumn(expansionValues, dimValues));
    }

    return new Index(
        dimensions,
        metrics,
        mmappedIndex.getDataInterval(),
        timestamps,
        metricVals,
        dimIdLookup,
        reverseDimLookup,
        invertedIndexesMap,
        dimensionColumns);
  }