Examples of org.apache.lucene.util.packed.AppendingPackedLongBuffer

org.apache.lucene.util.packed.AppendingPackedLongBuffer
Utility class to buffer a list of signed longs in memory. This class only supports appending and is optimized for non-negative numbers with a uniform distribution over a fixed (limited) range @lucene.internal

    public OrdinalMap(Object owner, TermsEnum subs[]) throws IOException {
      // create the ordinal mappings by pulling a termsenum over each sub's 
      // unique terms, and walking a multitermsenum over those
      this.owner = owner;
      globalOrdDeltas = new MonotonicAppendingLongBuffer(PackedInts.COMPACT);
      firstSegments = new AppendingPackedLongBuffer(PackedInts.COMPACT);
      ordDeltas = new MonotonicAppendingLongBuffer[subs.length];
      for (int i = 0; i < ordDeltas.length; i++) {
        ordDeltas[i] = new MonotonicAppendingLongBuffer();
      }
      long segmentOrds[] = new long[subs.length];

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    hash = new BytesRefHash(
        new ByteBlockPool(
            new ByteBlockPool.DirectTrackingAllocator(iwBytesUsed)),
            BytesRefHash.DEFAULT_CAPACITY,
            new DirectBytesStartArray(BytesRefHash.DEFAULT_CAPACITY, iwBytesUsed));
    pending = new AppendingPackedLongBuffer(PackedInts.COMPACT);
    pendingCounts = new AppendingDeltaPackedLongBuffer(PackedInts.COMPACT);
    bytesUsed = pending.ramBytesUsed() + pendingCounts.ramBytesUsed();
    iwBytesUsed.addAndGet(bytesUsed);
  }

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      this.owner = owner;
      // even though we accept an overhead ratio, we keep these ones with COMPACT
      // since they are only used to resolve values given a global ord, which is
      // slow anyway
      globalOrdDeltas = new MonotonicAppendingLongBuffer(PackedInts.COMPACT);
      firstSegments = new AppendingPackedLongBuffer(PackedInts.COMPACT);
      final MonotonicAppendingLongBuffer[] ordDeltas = new MonotonicAppendingLongBuffer[subs.length];
      for (int i = 0; i < ordDeltas.length; i++) {
        ordDeltas[i] = new MonotonicAppendingLongBuffer(acceptableOverheadRatio);
      }
      long[] ordDeltaBits = new long[subs.length];

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    public OrdinalMap(Object owner, TermsEnum subs[]) throws IOException {
      // create the ordinal mappings by pulling a termsenum over each sub's 
      // unique terms, and walking a multitermsenum over those
      this.owner = owner;
      globalOrdDeltas = new MonotonicAppendingLongBuffer(PackedInts.COMPACT);
      subIndexes = new AppendingPackedLongBuffer(PackedInts.COMPACT);
      ordDeltas = new MonotonicAppendingLongBuffer[subs.length];
      for (int i = 0; i < ordDeltas.length; i++) {
        ordDeltas[i] = new MonotonicAppendingLongBuffer();
      }
      long segmentOrds[] = new long[subs.length];

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    hash = new BytesRefHash(
        new ByteBlockPool(
            new ByteBlockPool.DirectTrackingAllocator(iwBytesUsed)),
            BytesRefHash.DEFAULT_CAPACITY,
            new DirectBytesStartArray(BytesRefHash.DEFAULT_CAPACITY, iwBytesUsed));
    pending = new AppendingPackedLongBuffer(PackedInts.COMPACT);
    pendingCounts = new AppendingDeltaPackedLongBuffer(PackedInts.COMPACT);
    bytesUsed = pending.ramBytesUsed() + pendingCounts.ramBytesUsed();
    iwBytesUsed.addAndGet(bytesUsed);
  }

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    public OrdinalMap(Object owner, TermsEnum subs[]) throws IOException {
      // create the ordinal mappings by pulling a termsenum over each sub's 
      // unique terms, and walking a multitermsenum over those
      this.owner = owner;
      globalOrdDeltas = new MonotonicAppendingLongBuffer(PackedInts.COMPACT);
      firstSegments = new AppendingPackedLongBuffer(PackedInts.COMPACT);
      ordDeltas = new MonotonicAppendingLongBuffer[subs.length];
      for (int i = 0; i < ordDeltas.length; i++) {
        ordDeltas[i] = new MonotonicAppendingLongBuffer();
      }
      long segmentOrds[] = new long[subs.length];

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Related Classes of org.apache.lucene.util.packed.AppendingPackedLongBuffer

org.apache.lucene.index.MultiDocValues$OrdinalMap

org.apache.lucene.index.SortedSetDocValuesWriter

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