org.apache.lucene.util.bkd.BKDWriter Maven / Gradle / Ivy
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* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
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package org.apache.lucene.util.bkd;
import java.io.Closeable;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Comparator;
import java.util.List;
import java.util.function.IntFunction;
import org.apache.lucene.codecs.CodecUtil;
import org.apache.lucene.codecs.MutablePointValues;
import org.apache.lucene.index.MergeState;
import org.apache.lucene.index.PointValues.IntersectVisitor;
import org.apache.lucene.index.PointValues.Relation;
import org.apache.lucene.store.ChecksumIndexInput;
import org.apache.lucene.store.DataOutput;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.GrowableByteArrayDataOutput;
import org.apache.lucene.store.IOContext;
import org.apache.lucene.store.IndexOutput;
import org.apache.lucene.store.RAMOutputStream;
import org.apache.lucene.store.TrackingDirectoryWrapper;
import org.apache.lucene.util.ArrayUtil;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefComparator;
import org.apache.lucene.util.FixedBitSet;
import org.apache.lucene.util.IOUtils;
import org.apache.lucene.util.LongBitSet;
import org.apache.lucene.util.MSBRadixSorter;
import org.apache.lucene.util.NumericUtils;
import org.apache.lucene.util.OfflineSorter;
import org.apache.lucene.util.PriorityQueue;
import org.apache.lucene.util.StringHelper;
// TODO
// - allow variable length byte[] (across docs and dims), but this is quite a bit more hairy
// - we could also index "auto-prefix terms" here, and use better compression, and maybe only use for the "fully contained" case so we'd
// only index docIDs
// - the index could be efficiently encoded as an FST, so we don't have wasteful
// (monotonic) long[] leafBlockFPs; or we could use MonotonicLongValues ... but then
// the index is already plenty small: 60M OSM points --> 1.1 MB with 128 points
// per leaf, and you can reduce that by putting more points per leaf
// - we could use threads while building; the higher nodes are very parallelizable
/** Recursively builds a block KD-tree to assign all incoming points in N-dim space to smaller
* and smaller N-dim rectangles (cells) until the number of points in a given
* rectangle is <= maxPointsInLeafNode. The tree is
* fully balanced, which means the leaf nodes will have between 50% and 100% of
* the requested maxPointsInLeafNode. Values that fall exactly
* on a cell boundary may be in either cell.
*
* The number of dimensions can be 1 to 8, but every byte[] value is fixed length.
*
*
* See this paper for details.
*
*
This consumes heap during writing: it allocates a LongBitSet(numPoints),
* and then uses up to the specified {@code maxMBSortInHeap} heap space for writing.
*
*
* NOTE: This can write at most Integer.MAX_VALUE * maxPointsInLeafNode total points.
*
* @lucene.experimental */
public class BKDWriter implements Closeable {
public static final String CODEC_NAME = "BKD";
public static final int VERSION_START = 0;
public static final int VERSION_COMPRESSED_DOC_IDS = 1;
public static final int VERSION_COMPRESSED_VALUES = 2;
public static final int VERSION_IMPLICIT_SPLIT_DIM_1D = 3;
public static final int VERSION_PACKED_INDEX = 4;
public static final int VERSION_CURRENT = VERSION_PACKED_INDEX;
/** How many bytes each docs takes in the fixed-width offline format */
private final int bytesPerDoc;
/** Default maximum number of point in each leaf block */
public static final int DEFAULT_MAX_POINTS_IN_LEAF_NODE = 1024;
/** Default maximum heap to use, before spilling to (slower) disk */
public static final float DEFAULT_MAX_MB_SORT_IN_HEAP = 16.0f;
/** Maximum number of dimensions */
public static final int MAX_DIMS = 8;
/** How many dimensions we are indexing */
protected final int numDims;
/** How many bytes each value in each dimension takes. */
protected final int bytesPerDim;
/** numDims * bytesPerDim */
protected final int packedBytesLength;
final TrackingDirectoryWrapper tempDir;
final String tempFileNamePrefix;
final double maxMBSortInHeap;
final byte[] scratchDiff;
final byte[] scratch1;
final byte[] scratch2;
final BytesRef scratchBytesRef1 = new BytesRef();
final BytesRef scratchBytesRef2 = new BytesRef();
final int[] commonPrefixLengths;
protected final FixedBitSet docsSeen;
private OfflinePointWriter offlinePointWriter;
private HeapPointWriter heapPointWriter;
private IndexOutput tempInput;
protected final int maxPointsInLeafNode;
private final int maxPointsSortInHeap;
/** Minimum per-dim values, packed */
protected final byte[] minPackedValue;
/** Maximum per-dim values, packed */
protected final byte[] maxPackedValue;
protected long pointCount;
/** true if we have so many values that we must write ords using long (8 bytes) instead of int (4 bytes) */
protected final boolean longOrds;
/** An upper bound on how many points the caller will add (includes deletions) */
private final long totalPointCount;
/** True if every document has at most one value. We specialize this case by not bothering to store the ord since it's redundant with docID. */
protected final boolean singleValuePerDoc;
/** How much heap OfflineSorter is allowed to use */
protected final OfflineSorter.BufferSize offlineSorterBufferMB;
/** How much heap OfflineSorter is allowed to use */
protected final int offlineSorterMaxTempFiles;
private final int maxDoc;
public BKDWriter(int maxDoc, Directory tempDir, String tempFileNamePrefix, int numDims, int bytesPerDim,
int maxPointsInLeafNode, double maxMBSortInHeap, long totalPointCount, boolean singleValuePerDoc) throws IOException {
this(maxDoc, tempDir, tempFileNamePrefix, numDims, bytesPerDim, maxPointsInLeafNode, maxMBSortInHeap, totalPointCount, singleValuePerDoc,
totalPointCount > Integer.MAX_VALUE, Math.max(1, (long) maxMBSortInHeap), OfflineSorter.MAX_TEMPFILES);
}
protected BKDWriter(int maxDoc, Directory tempDir, String tempFileNamePrefix, int numDims, int bytesPerDim,
int maxPointsInLeafNode, double maxMBSortInHeap, long totalPointCount,
boolean singleValuePerDoc, boolean longOrds, long offlineSorterBufferMB, int offlineSorterMaxTempFiles) throws IOException {
verifyParams(numDims, maxPointsInLeafNode, maxMBSortInHeap, totalPointCount);
// We use tracking dir to deal with removing files on exception, so each place that
// creates temp files doesn't need crazy try/finally/sucess logic:
this.tempDir = new TrackingDirectoryWrapper(tempDir);
this.tempFileNamePrefix = tempFileNamePrefix;
this.maxPointsInLeafNode = maxPointsInLeafNode;
this.numDims = numDims;
this.bytesPerDim = bytesPerDim;
this.totalPointCount = totalPointCount;
this.maxDoc = maxDoc;
this.offlineSorterBufferMB = OfflineSorter.BufferSize.megabytes(offlineSorterBufferMB);
this.offlineSorterMaxTempFiles = offlineSorterMaxTempFiles;
docsSeen = new FixedBitSet(maxDoc);
packedBytesLength = numDims * bytesPerDim;
scratchDiff = new byte[bytesPerDim];
scratch1 = new byte[packedBytesLength];
scratch2 = new byte[packedBytesLength];
commonPrefixLengths = new int[numDims];
minPackedValue = new byte[packedBytesLength];
maxPackedValue = new byte[packedBytesLength];
// If we may have more than 1+Integer.MAX_VALUE values, then we must encode ords with long (8 bytes), else we can use int (4 bytes).
this.longOrds = longOrds;
this.singleValuePerDoc = singleValuePerDoc;
// dimensional values (numDims * bytesPerDim) + ord (int or long) + docID (int)
if (singleValuePerDoc) {
// Lucene only supports up to 2.1 docs, so we better not need longOrds in this case:
assert longOrds == false;
bytesPerDoc = packedBytesLength + Integer.BYTES;
} else if (longOrds) {
bytesPerDoc = packedBytesLength + Long.BYTES + Integer.BYTES;
} else {
bytesPerDoc = packedBytesLength + Integer.BYTES + Integer.BYTES;
}
// As we recurse, we compute temporary partitions of the data, halving the
// number of points at each recursion. Once there are few enough points,
// we can switch to sorting in heap instead of offline (on disk). At any
// time in the recursion, we hold the number of points at that level, plus
// all recursive halves (i.e. 16 + 8 + 4 + 2) so the memory usage is 2X
// what that level would consume, so we multiply by 0.5 to convert from
// bytes to points here. Each dimension has its own sorted partition, so
// we must divide by numDims as wel.
maxPointsSortInHeap = (int) (0.5 * (maxMBSortInHeap * 1024 * 1024) / (bytesPerDoc * numDims));
// Finally, we must be able to hold at least the leaf node in heap during build:
if (maxPointsSortInHeap < maxPointsInLeafNode) {
throw new IllegalArgumentException("maxMBSortInHeap=" + maxMBSortInHeap + " only allows for maxPointsSortInHeap=" + maxPointsSortInHeap + ", but this is less than maxPointsInLeafNode=" + maxPointsInLeafNode + "; either increase maxMBSortInHeap or decrease maxPointsInLeafNode");
}
// We write first maxPointsSortInHeap in heap, then cutover to offline for additional points:
heapPointWriter = new HeapPointWriter(16, maxPointsSortInHeap, packedBytesLength, longOrds, singleValuePerDoc);
this.maxMBSortInHeap = maxMBSortInHeap;
}
public static void verifyParams(int numDims, int maxPointsInLeafNode, double maxMBSortInHeap, long totalPointCount) {
// We encode dim in a single byte in the splitPackedValues, but we only expose 4 bits for it now, in case we want to use
// remaining 4 bits for another purpose later
if (numDims < 1 || numDims > MAX_DIMS) {
throw new IllegalArgumentException("numDims must be 1 .. " + MAX_DIMS + " (got: " + numDims + ")");
}
if (maxPointsInLeafNode <= 0) {
throw new IllegalArgumentException("maxPointsInLeafNode must be > 0; got " + maxPointsInLeafNode);
}
if (maxPointsInLeafNode > ArrayUtil.MAX_ARRAY_LENGTH) {
throw new IllegalArgumentException("maxPointsInLeafNode must be <= ArrayUtil.MAX_ARRAY_LENGTH (= " + ArrayUtil.MAX_ARRAY_LENGTH + "); got " + maxPointsInLeafNode);
}
if (maxMBSortInHeap < 0.0) {
throw new IllegalArgumentException("maxMBSortInHeap must be >= 0.0 (got: " + maxMBSortInHeap + ")");
}
if (totalPointCount < 0) {
throw new IllegalArgumentException("totalPointCount must be >=0 (got: " + totalPointCount + ")");
}
}
/** If the current segment has too many points then we spill over to temp files / offline sort. */
private void spillToOffline() throws IOException {
// For each .add we just append to this input file, then in .finish we sort this input and resursively build the tree:
offlinePointWriter = new OfflinePointWriter(tempDir, tempFileNamePrefix, packedBytesLength, longOrds, "spill", 0, singleValuePerDoc);
tempInput = offlinePointWriter.out;
PointReader reader = heapPointWriter.getReader(0, pointCount);
for(int i=0;i= maxPointsSortInHeap) {
if (offlinePointWriter == null) {
spillToOffline();
}
offlinePointWriter.append(packedValue, pointCount, docID);
} else {
// Not too many points added yet, continue using heap:
heapPointWriter.append(packedValue, pointCount, docID);
}
// TODO: we could specialize for the 1D case:
if (pointCount == 0) {
System.arraycopy(packedValue, 0, minPackedValue, 0, packedBytesLength);
System.arraycopy(packedValue, 0, maxPackedValue, 0, packedBytesLength);
} else {
for(int dim=0;dim 0) {
System.arraycopy(packedValue, offset, maxPackedValue, offset, bytesPerDim);
}
}
}
pointCount++;
if (pointCount > totalPointCount) {
throw new IllegalStateException("totalPointCount=" + totalPointCount + " was passed when we were created, but we just hit " + pointCount + " values");
}
docsSeen.set(docID);
}
/** How many points have been added so far */
public long getPointCount() {
return pointCount;
}
private static class MergeReader {
final BKDReader bkd;
final BKDReader.IntersectState state;
final MergeState.DocMap docMap;
/** Current doc ID */
public int docID;
/** Which doc in this block we are up to */
private int docBlockUpto;
/** How many docs in the current block */
private int docsInBlock;
/** Which leaf block we are up to */
private int blockID;
private final byte[] packedValues;
public MergeReader(BKDReader bkd, MergeState.DocMap docMap) throws IOException {
this.bkd = bkd;
state = new BKDReader.IntersectState(bkd.in.clone(),
bkd.numDims,
bkd.packedBytesLength,
bkd.maxPointsInLeafNode,
null,
null);
this.docMap = docMap;
state.in.seek(bkd.getMinLeafBlockFP());
this.packedValues = new byte[bkd.maxPointsInLeafNode * bkd.packedBytesLength];
}
public boolean next() throws IOException {
//System.out.println("MR.next this=" + this);
while (true) {
if (docBlockUpto == docsInBlock) {
if (blockID == bkd.leafNodeOffset) {
//System.out.println(" done!");
return false;
}
//System.out.println(" new block @ fp=" + state.in.getFilePointer());
docsInBlock = bkd.readDocIDs(state.in, state.in.getFilePointer(), state.scratchDocIDs);
assert docsInBlock > 0;
docBlockUpto = 0;
bkd.visitDocValues(state.commonPrefixLengths, state.scratchPackedValue, state.in, state.scratchDocIDs, docsInBlock, new IntersectVisitor() {
int i = 0;
@Override
public void visit(int docID) throws IOException {
throw new UnsupportedOperationException();
}
@Override
public void visit(int docID, byte[] packedValue) throws IOException {
assert docID == state.scratchDocIDs[i];
System.arraycopy(packedValue, 0, packedValues, i * bkd.packedBytesLength, bkd.packedBytesLength);
i++;
}
@Override
public Relation compare(byte[] minPackedValue, byte[] maxPackedValue) {
throw new UnsupportedOperationException();
}
});
blockID++;
}
final int index = docBlockUpto++;
int oldDocID = state.scratchDocIDs[index];
int mappedDocID;
if (docMap == null) {
mappedDocID = oldDocID;
} else {
mappedDocID = docMap.get(oldDocID);
}
if (mappedDocID != -1) {
// Not deleted!
docID = mappedDocID;
System.arraycopy(packedValues, index * bkd.packedBytesLength, state.scratchPackedValue, 0, bkd.packedBytesLength);
return true;
}
}
}
}
private static class BKDMergeQueue extends PriorityQueue {
private final int bytesPerDim;
public BKDMergeQueue(int bytesPerDim, int maxSize) {
super(maxSize);
this.bytesPerDim = bytesPerDim;
}
@Override
public boolean lessThan(MergeReader a, MergeReader b) {
assert a != b;
int cmp = StringHelper.compare(bytesPerDim, a.state.scratchPackedValue, 0, b.state.scratchPackedValue, 0);
if (cmp < 0) {
return true;
} else if (cmp > 0) {
return false;
}
// Tie break by sorting smaller docIDs earlier:
return a.docID < b.docID;
}
}
/** Write a field from a {@link MutablePointValues}. This way of writing
* points is faster than regular writes with {@link BKDWriter#add} since
* there is opportunity for reordering points before writing them to
* disk. This method does not use transient disk in order to reorder points.
*/
public long writeField(IndexOutput out, String fieldName, MutablePointValues reader) throws IOException {
if (numDims == 1) {
return writeField1Dim(out, fieldName, reader);
} else {
return writeFieldNDims(out, fieldName, reader);
}
}
/* In the 2+D case, we recursively pick the split dimension, compute the
* median value and partition other values around it. */
private long writeFieldNDims(IndexOutput out, String fieldName, MutablePointValues values) throws IOException {
if (pointCount != 0) {
throw new IllegalStateException("cannot mix add and writeField");
}
// Catch user silliness:
if (heapPointWriter == null && tempInput == null) {
throw new IllegalStateException("already finished");
}
// Mark that we already finished:
heapPointWriter = null;
long countPerLeaf = pointCount = values.size();
long innerNodeCount = 1;
while (countPerLeaf > maxPointsInLeafNode) {
countPerLeaf = (countPerLeaf+1)/2;
innerNodeCount *= 2;
}
int numLeaves = Math.toIntExact(innerNodeCount);
checkMaxLeafNodeCount(numLeaves);
final byte[] splitPackedValues = new byte[numLeaves * (bytesPerDim + 1)];
final long[] leafBlockFPs = new long[numLeaves];
// compute the min/max for this slice
Arrays.fill(minPackedValue, (byte) 0xff);
Arrays.fill(maxPackedValue, (byte) 0);
for (int i = 0; i < Math.toIntExact(pointCount); ++i) {
values.getValue(i, scratchBytesRef1);
for(int dim=0;dim 0) {
System.arraycopy(scratchBytesRef1.bytes, scratchBytesRef1.offset + offset, maxPackedValue, offset, bytesPerDim);
}
}
docsSeen.set(values.getDocID(i));
}
final int[] parentSplits = new int[numDims];
build(1, numLeaves, values, 0, Math.toIntExact(pointCount), out,
minPackedValue, maxPackedValue, parentSplits,
splitPackedValues, leafBlockFPs,
new int[maxPointsInLeafNode]);
assert Arrays.equals(parentSplits, new int[numDims]);
long indexFP = out.getFilePointer();
writeIndex(out, Math.toIntExact(countPerLeaf), leafBlockFPs, splitPackedValues);
return indexFP;
}
/* In the 1D case, we can simply sort points in ascending order and use the
* same writing logic as we use at merge time. */
private long writeField1Dim(IndexOutput out, String fieldName, MutablePointValues reader) throws IOException {
MutablePointsReaderUtils.sort(maxDoc, packedBytesLength, reader, 0, Math.toIntExact(reader.size()));
final OneDimensionBKDWriter oneDimWriter = new OneDimensionBKDWriter(out);
reader.intersect(new IntersectVisitor() {
@Override
public void visit(int docID, byte[] packedValue) throws IOException {
oneDimWriter.add(packedValue, docID);
}
@Override
public void visit(int docID) throws IOException {
throw new IllegalStateException();
}
@Override
public Relation compare(byte[] minPackedValue, byte[] maxPackedValue) {
return Relation.CELL_CROSSES_QUERY;
}
});
return oneDimWriter.finish();
}
/** More efficient bulk-add for incoming {@link BKDReader}s. This does a merge sort of the already
* sorted values and currently only works when numDims==1. This returns -1 if all documents containing
* dimensional values were deleted. */
public long merge(IndexOutput out, List docMaps, List readers) throws IOException {
assert docMaps == null || readers.size() == docMaps.size();
BKDMergeQueue queue = new BKDMergeQueue(bytesPerDim, readers.size());
for(int i=0;i totalPointCount) {
throw new IllegalStateException("totalPointCount=" + totalPointCount + " was passed when we were created, but we just hit " + pointCount + " values");
}
if (leafCount == maxPointsInLeafNode) {
// We write a block once we hit exactly the max count ... this is different from
// when we write N > 1 dimensional points where we write between max/2 and max per leaf block
writeLeafBlock();
leafCount = 0;
}
assert (lastDocID = docID) >= 0; // only assign when asserts are enabled
}
public long finish() throws IOException {
if (leafCount > 0) {
writeLeafBlock();
leafCount = 0;
}
if (valueCount == 0) {
return -1;
}
pointCount = valueCount;
long indexFP = out.getFilePointer();
int numInnerNodes = leafBlockStartValues.size();
//System.out.println("BKDW: now rotate numInnerNodes=" + numInnerNodes + " leafBlockStarts=" + leafBlockStartValues.size());
byte[] index = new byte[(1+numInnerNodes) * (1+bytesPerDim)];
rotateToTree(1, 0, numInnerNodes, index, leafBlockStartValues);
long[] arr = new long[leafBlockFPs.size()];
for(int i=0;i 0) {
// Save the first (minimum) value in each leaf block except the first, to build the split value index in the end:
leafBlockStartValues.add(Arrays.copyOf(leafValues, packedBytesLength));
}
leafBlockFPs.add(out.getFilePointer());
checkMaxLeafNodeCount(leafBlockFPs.size());
// Find per-dim common prefix:
int prefix = bytesPerDim;
int offset = (leafCount - 1) * packedBytesLength;
for(int j=0;j packedValues = new IntFunction() {
@Override
public BytesRef apply(int i) {
scratchBytesRef1.offset = packedBytesLength * i;
return scratchBytesRef1;
}
};
assert valuesInOrderAndBounds(leafCount, 0, Arrays.copyOf(leafValues, packedBytesLength),
Arrays.copyOfRange(leafValues, (leafCount - 1) * packedBytesLength, leafCount * packedBytesLength),
packedValues, leafDocs, 0);
writeLeafBlockPackedValues(scratchOut, commonPrefixLengths, leafCount, 0, packedValues);
out.writeBytes(scratchOut.getBytes(), 0, scratchOut.getPosition());
scratchOut.reset();
}
}
// TODO: there must be a simpler way?
private void rotateToTree(int nodeID, int offset, int count, byte[] index, List leafBlockStartValues) {
//System.out.println("ROTATE: nodeID=" + nodeID + " offset=" + offset + " count=" + count + " bpd=" + bytesPerDim + " index.length=" + index.length);
if (count == 1) {
// Leaf index node
//System.out.println(" leaf index node");
//System.out.println(" index[" + nodeID + "] = blockStartValues[" + offset + "]");
System.arraycopy(leafBlockStartValues.get(offset), 0, index, nodeID*(1+bytesPerDim)+1, bytesPerDim);
} else if (count > 1) {
// Internal index node: binary partition of count
int countAtLevel = 1;
int totalCount = 0;
while (true) {
int countLeft = count - totalCount;
//System.out.println(" cycle countLeft=" + countLeft + " coutAtLevel=" + countAtLevel);
if (countLeft <= countAtLevel) {
// This is the last level, possibly partially filled:
int lastLeftCount = Math.min(countAtLevel/2, countLeft);
assert lastLeftCount >= 0;
int leftHalf = (totalCount-1)/2 + lastLeftCount;
int rootOffset = offset + leftHalf;
/*
System.out.println(" last left count " + lastLeftCount);
System.out.println(" leftHalf " + leftHalf + " rightHalf=" + (count-leftHalf-1));
System.out.println(" rootOffset=" + rootOffset);
*/
System.arraycopy(leafBlockStartValues.get(rootOffset), 0, index, nodeID*(1+bytesPerDim)+1, bytesPerDim);
//System.out.println(" index[" + nodeID + "] = blockStartValues[" + rootOffset + "]");
// TODO: we could optimize/specialize, when we know it's simply fully balanced binary tree
// under here, to save this while loop on each recursion
// Recurse left
rotateToTree(2*nodeID, offset, leftHalf, index, leafBlockStartValues);
// Recurse right
rotateToTree(2*nodeID+1, rootOffset+1, count-leftHalf-1, index, leafBlockStartValues);
return;
}
totalCount += countAtLevel;
countAtLevel *= 2;
}
} else {
assert count == 0;
}
}
// TODO: if we fixed each partition step to just record the file offset at the "split point", we could probably handle variable length
// encoding and not have our own ByteSequencesReader/Writer
/** Sort the heap writer by the specified dim */
private void sortHeapPointWriter(final HeapPointWriter writer, int dim) {
final int pointCount = Math.toIntExact(this.pointCount);
// Tie-break by docID:
// No need to tie break on ord, for the case where the same doc has the same value in a given dimension indexed more than once: it
// can't matter at search time since we don't write ords into the index:
new MSBRadixSorter(bytesPerDim + Integer.BYTES) {
@Override
protected int byteAt(int i, int k) {
assert k >= 0;
if (k < bytesPerDim) {
// dim bytes
int block = i / writer.valuesPerBlock;
int index = i % writer.valuesPerBlock;
return writer.blocks.get(block)[index * packedBytesLength + dim * bytesPerDim + k] & 0xff;
} else {
// doc id
int s = 3 - (k - bytesPerDim);
return (writer.docIDs[i] >>> (s * 8)) & 0xff;
}
}
@Override
protected void swap(int i, int j) {
int docID = writer.docIDs[i];
writer.docIDs[i] = writer.docIDs[j];
writer.docIDs[j] = docID;
if (singleValuePerDoc == false) {
if (longOrds) {
long ord = writer.ordsLong[i];
writer.ordsLong[i] = writer.ordsLong[j];
writer.ordsLong[j] = ord;
} else {
int ord = writer.ords[i];
writer.ords[i] = writer.ords[j];
writer.ords[j] = ord;
}
}
byte[] blockI = writer.blocks.get(i / writer.valuesPerBlock);
int indexI = (i % writer.valuesPerBlock) * packedBytesLength;
byte[] blockJ = writer.blocks.get(j / writer.valuesPerBlock);
int indexJ = (j % writer.valuesPerBlock) * packedBytesLength;
// scratch1 = values[i]
System.arraycopy(blockI, indexI, scratch1, 0, packedBytesLength);
// values[i] = values[j]
System.arraycopy(blockJ, indexJ, blockI, indexI, packedBytesLength);
// values[j] = scratch1
System.arraycopy(scratch1, 0, blockJ, indexJ, packedBytesLength);
}
}.sort(0, pointCount);
}
// useful for debugging:
/*
private void printPathSlice(String desc, PathSlice slice, int dim) throws IOException {
System.out.println(" " + desc + " dim=" + dim + " count=" + slice.count + ":");
try(PointReader r = slice.writer.getReader(slice.start, slice.count)) {
int count = 0;
while (r.next()) {
byte[] v = r.packedValue();
System.out.println(" " + count + ": " + new BytesRef(v, dim*bytesPerDim, bytesPerDim));
count++;
if (count == slice.count) {
break;
}
}
}
}
*/
private PointWriter sort(int dim) throws IOException {
assert dim >= 0 && dim < numDims;
if (heapPointWriter != null) {
assert tempInput == null;
// We never spilled the incoming points to disk, so now we sort in heap:
HeapPointWriter sorted;
if (dim == 0) {
// First dim can re-use the current heap writer
sorted = heapPointWriter;
} else {
// Subsequent dims need a private copy
sorted = new HeapPointWriter((int) pointCount, (int) pointCount, packedBytesLength, longOrds, singleValuePerDoc);
sorted.copyFrom(heapPointWriter);
}
//long t0 = System.nanoTime();
sortHeapPointWriter(sorted, dim);
//long t1 = System.nanoTime();
//System.out.println("BKD: sort took " + ((t1-t0)/1000000.0) + " msec");
sorted.close();
return sorted;
} else {
// Offline sort:
assert tempInput != null;
final int offset = bytesPerDim * dim;
Comparator cmp;
if (dim == numDims - 1) {
// in that case the bytes for the dimension and for the doc id are contiguous,
// so we don't need a branch
cmp = new BytesRefComparator(bytesPerDim + Integer.BYTES) {
@Override
protected int byteAt(BytesRef ref, int i) {
return ref.bytes[ref.offset + offset + i] & 0xff;
}
};
} else {
cmp = new BytesRefComparator(bytesPerDim + Integer.BYTES) {
@Override
protected int byteAt(BytesRef ref, int i) {
if (i < bytesPerDim) {
return ref.bytes[ref.offset + offset + i] & 0xff;
} else {
return ref.bytes[ref.offset + packedBytesLength + i - bytesPerDim] & 0xff;
}
}
};
}
OfflineSorter sorter = new OfflineSorter(tempDir, tempFileNamePrefix + "_bkd" + dim, cmp, offlineSorterBufferMB, offlineSorterMaxTempFiles, bytesPerDoc, null, 0) {
/** We write/read fixed-byte-width file that {@link OfflinePointReader} can read. */
@Override
protected ByteSequencesWriter getWriter(IndexOutput out, long count) {
return new ByteSequencesWriter(out) {
@Override
public void write(byte[] bytes, int off, int len) throws IOException {
assert len == bytesPerDoc: "len=" + len + " bytesPerDoc=" + bytesPerDoc;
out.writeBytes(bytes, off, len);
}
};
}
/** We write/read fixed-byte-width file that {@link OfflinePointReader} can read. */
@Override
protected ByteSequencesReader getReader(ChecksumIndexInput in, String name) throws IOException {
return new ByteSequencesReader(in, name) {
final BytesRef scratch = new BytesRef(new byte[bytesPerDoc]);
@Override
public BytesRef next() throws IOException {
if (in.getFilePointer() >= end) {
return null;
}
in.readBytes(scratch.bytes, 0, bytesPerDoc);
return scratch;
}
};
}
};
String name = sorter.sort(tempInput.getName());
return new OfflinePointWriter(tempDir, name, packedBytesLength, pointCount, longOrds, singleValuePerDoc);
}
}
private void checkMaxLeafNodeCount(int numLeaves) {
if ((1+bytesPerDim) * (long) numLeaves > ArrayUtil.MAX_ARRAY_LENGTH) {
throw new IllegalStateException("too many nodes; increase maxPointsInLeafNode (currently " + maxPointsInLeafNode + ") and reindex");
}
}
/** Writes the BKD tree to the provided {@link IndexOutput} and returns the file offset where index was written. */
public long finish(IndexOutput out) throws IOException {
// System.out.println("\nBKDTreeWriter.finish pointCount=" + pointCount + " out=" + out + " heapWriter=" + heapPointWriter);
// TODO: specialize the 1D case? it's much faster at indexing time (no partitioning on recurse...)
// Catch user silliness:
if (heapPointWriter == null && tempInput == null) {
throw new IllegalStateException("already finished");
}
if (offlinePointWriter != null) {
offlinePointWriter.close();
}
if (pointCount == 0) {
throw new IllegalStateException("must index at least one point");
}
LongBitSet ordBitSet;
if (numDims > 1) {
if (singleValuePerDoc) {
ordBitSet = new LongBitSet(maxDoc);
} else {
ordBitSet = new LongBitSet(pointCount);
}
} else {
ordBitSet = null;
}
long countPerLeaf = pointCount;
long innerNodeCount = 1;
while (countPerLeaf > maxPointsInLeafNode) {
countPerLeaf = (countPerLeaf+1)/2;
innerNodeCount *= 2;
}
int numLeaves = (int) innerNodeCount;
checkMaxLeafNodeCount(numLeaves);
// NOTE: we could save the 1+ here, to use a bit less heap at search time, but then we'd need a somewhat costly check at each
// step of the recursion to recompute the split dim:
// Indexed by nodeID, but first (root) nodeID is 1. We do 1+ because the lead byte at each recursion says which dim we split on.
byte[] splitPackedValues = new byte[Math.toIntExact(numLeaves*(1+bytesPerDim))];
// +1 because leaf count is power of 2 (e.g. 8), and innerNodeCount is power of 2 minus 1 (e.g. 7)
long[] leafBlockFPs = new long[numLeaves];
// Make sure the math above "worked":
assert pointCount / numLeaves <= maxPointsInLeafNode: "pointCount=" + pointCount + " numLeaves=" + numLeaves + " maxPointsInLeafNode=" + maxPointsInLeafNode;
// Sort all docs once by each dimension:
PathSlice[] sortedPointWriters = new PathSlice[numDims];
// This is only used on exception; on normal code paths we close all files we opened:
List toCloseHeroically = new ArrayList<>();
boolean success = false;
try {
//long t0 = System.nanoTime();
for(int dim=0;dim 1) {
int levelCount = 2;
while (true) {
if (numLeaves >= levelCount && numLeaves <= 2*levelCount) {
int lastLevel = 2*(numLeaves - levelCount);
assert lastLevel >= 0;
if (lastLevel != 0) {
// Last level is partially filled, so we must rotate the leaf FPs to match. We do this here, after loading
// at read-time, so that we can still delta code them on disk at write:
long[] newLeafBlockFPs = new long[numLeaves];
System.arraycopy(leafBlockFPs, lastLevel, newLeafBlockFPs, 0, leafBlockFPs.length - lastLevel);
System.arraycopy(leafBlockFPs, 0, newLeafBlockFPs, leafBlockFPs.length - lastLevel, lastLevel);
leafBlockFPs = newLeafBlockFPs;
}
break;
}
levelCount *= 2;
}
}
/** Reused while packing the index */
RAMOutputStream writeBuffer = new RAMOutputStream();
// This is the "file" we append the byte[] to:
List blocks = new ArrayList<>();
byte[] lastSplitValues = new byte[bytesPerDim * numDims];
//System.out.println("\npack index");
int totalSize = recursePackIndex(writeBuffer, leafBlockFPs, splitPackedValues, 0l, blocks, 1, lastSplitValues, new boolean[numDims], false);
// Compact the byte[] blocks into single byte index:
byte[] index = new byte[totalSize];
int upto = 0;
for(byte[] block : blocks) {
System.arraycopy(block, 0, index, upto, block.length);
upto += block.length;
}
assert upto == totalSize;
return index;
}
/** Appends the current contents of writeBuffer as another block on the growing in-memory file */
private int appendBlock(RAMOutputStream writeBuffer, List blocks) throws IOException {
int pos = Math.toIntExact(writeBuffer.getFilePointer());
byte[] bytes = new byte[pos];
writeBuffer.writeTo(bytes, 0);
writeBuffer.reset();
blocks.add(bytes);
return pos;
}
/**
* lastSplitValues is per-dimension split value previously seen; we use this to prefix-code the split byte[] on each inner node
*/
private int recursePackIndex(RAMOutputStream writeBuffer, long[] leafBlockFPs, byte[] splitPackedValues, long minBlockFP, List blocks,
int nodeID, byte[] lastSplitValues, boolean[] negativeDeltas, boolean isLeft) throws IOException {
if (nodeID >= leafBlockFPs.length) {
int leafID = nodeID - leafBlockFPs.length;
//System.out.println("recursePack leaf nodeID=" + nodeID);
// In the unbalanced case it's possible the left most node only has one child:
if (leafID < leafBlockFPs.length) {
long delta = leafBlockFPs[leafID] - minBlockFP;
if (isLeft) {
assert delta == 0;
return 0;
} else {
assert nodeID == 1 || delta > 0: "nodeID=" + nodeID;
writeBuffer.writeVLong(delta);
return appendBlock(writeBuffer, blocks);
}
} else {
return 0;
}
} else {
long leftBlockFP;
if (isLeft == false) {
leftBlockFP = getLeftMostLeafBlockFP(leafBlockFPs, nodeID);
long delta = leftBlockFP - minBlockFP;
assert nodeID == 1 || delta > 0;
writeBuffer.writeVLong(delta);
} else {
// The left tree's left most leaf block FP is always the minimal FP:
leftBlockFP = minBlockFP;
}
int address = nodeID * (1+bytesPerDim);
int splitDim = splitPackedValues[address++] & 0xff;
//System.out.println("recursePack inner nodeID=" + nodeID + " splitDim=" + splitDim + " splitValue=" + new BytesRef(splitPackedValues, address, bytesPerDim));
// find common prefix with last split value in this dim:
int prefix = 0;
for(;prefix 0;
out.writeVInt(numLeaves);
out.writeBytes(minPackedValue, 0, packedBytesLength);
out.writeBytes(maxPackedValue, 0, packedBytesLength);
out.writeVLong(pointCount);
out.writeVInt(docsSeen.cardinality());
out.writeVInt(packedIndex.length);
out.writeBytes(packedIndex, 0, packedIndex.length);
}
private void writeLeafBlockDocs(DataOutput out, int[] docIDs, int start, int count) throws IOException {
assert count > 0: "maxPointsInLeafNode=" + maxPointsInLeafNode;
out.writeVInt(count);
DocIdsWriter.writeDocIds(docIDs, start, count, out);
}
private void writeLeafBlockPackedValues(DataOutput out, int[] commonPrefixLengths, int count, int sortedDim, IntFunction packedValues) throws IOException {
int prefixLenSum = Arrays.stream(commonPrefixLengths).sum();
if (prefixLenSum == packedBytesLength) {
// all values in this block are equal
out.writeByte((byte) -1);
} else {
assert commonPrefixLengths[sortedDim] < bytesPerDim;
out.writeByte((byte) sortedDim);
int compressedByteOffset = sortedDim * bytesPerDim + commonPrefixLengths[sortedDim];
commonPrefixLengths[sortedDim]++;
for (int i = 0; i < count; ) {
// do run-length compression on the byte at compressedByteOffset
int runLen = runLen(packedValues, i, Math.min(i + 0xff, count), compressedByteOffset);
assert runLen <= 0xff;
BytesRef first = packedValues.apply(i);
byte prefixByte = first.bytes[first.offset + compressedByteOffset];
out.writeByte(prefixByte);
out.writeByte((byte) runLen);
writeLeafBlockPackedValuesRange(out, commonPrefixLengths, i, i + runLen, packedValues);
i += runLen;
assert i <= count;
}
}
}
private void writeLeafBlockPackedValuesRange(DataOutput out, int[] commonPrefixLengths, int start, int end, IntFunction packedValues) throws IOException {
for (int i = start; i < end; ++i) {
BytesRef ref = packedValues.apply(i);
assert ref.length == packedBytesLength;
for(int dim=0;dim packedValues, int start, int end, int byteOffset) {
BytesRef first = packedValues.apply(start);
byte b = first.bytes[first.offset + byteOffset];
for (int i = start + 1; i < end; ++i) {
BytesRef ref = packedValues.apply(i);
byte b2 = ref.bytes[ref.offset + byteOffset];
assert Byte.toUnsignedInt(b2) >= Byte.toUnsignedInt(b);
if (b != b2) {
return i - start;
}
}
return end - start;
}
private void writeCommonPrefixes(DataOutput out, int[] commonPrefixes, byte[] packedValue) throws IOException {
for(int dim=0;dim= the splitValue). */
private byte[] markRightTree(long rightCount, int splitDim, PathSlice source, LongBitSet ordBitSet) throws IOException {
// Now we mark ords that fall into the right half, so we can partition on all other dims that are not the split dim:
// Read the split value, then mark all ords in the right tree (larger than the split value):
// TODO: find a way to also checksum this reader? If we changed to markLeftTree, and scanned the final chunk, it could work?
try (PointReader reader = source.writer.getReader(source.start + source.count - rightCount, rightCount)) {
boolean result = reader.next();
assert result: "rightCount=" + rightCount + " source.count=" + source.count + " source.writer=" + source.writer;
System.arraycopy(reader.packedValue(), splitDim*bytesPerDim, scratch1, 0, bytesPerDim);
if (numDims > 1) {
assert ordBitSet.get(reader.ord()) == false;
ordBitSet.set(reader.ord());
// Subtract 1 from rightCount because we already did the first value above (so we could record the split value):
reader.markOrds(rightCount-1, ordBitSet);
}
} catch (Throwable t) {
throw verifyChecksum(t, source.writer);
}
return scratch1;
}
/** Called only in assert */
private boolean valueInBounds(BytesRef packedValue, byte[] minPackedValue, byte[] maxPackedValue) {
for(int dim=0;dim 0) {
return false;
}
}
return true;
}
/**
* Pick the next dimension to split.
* @param minPackedValue the min values for all dimensions
* @param maxPackedValue the max values for all dimensions
* @param parentSplits how many times each dim has been split on the parent levels
* @return the dimension to split
*/
protected int split(byte[] minPackedValue, byte[] maxPackedValue, int[] parentSplits) {
// First look at whether there is a dimension that has split less than 2x less than
// the dim that has most splits, and return it if there is such a dimension and it
// does not only have equals values. This helps ensure all dimensions are indexed.
int maxNumSplits = 0;
for (int numSplits : parentSplits) {
maxNumSplits = Math.max(maxNumSplits, numSplits);
}
for (int dim = 0; dim < numDims; ++dim) {
final int offset = dim * bytesPerDim;
if (parentSplits[dim] < maxNumSplits / 2 &&
StringHelper.compare(bytesPerDim, minPackedValue, offset, maxPackedValue, offset) != 0) {
return dim;
}
}
// Find which dim has the largest span so we can split on it:
int splitDim = -1;
for(int dim=0;dim 0) {
System.arraycopy(scratchDiff, 0, scratch1, 0, bytesPerDim);
splitDim = dim;
}
}
//System.out.println("SPLIT: " + splitDim);
return splitDim;
}
/** Pull a partition back into heap once the point count is low enough while recursing. */
private PathSlice switchToHeap(PathSlice source, List toCloseHeroically) throws IOException {
int count = Math.toIntExact(source.count);
// Not inside the try because we don't want to close it here:
PointReader reader = source.writer.getSharedReader(source.start, source.count, toCloseHeroically);
try (PointWriter writer = new HeapPointWriter(count, count, packedBytesLength, longOrds, singleValuePerDoc)) {
for(int i=0;i= leafNodeOffset) {
// leaf node
final int count = to - from;
assert count <= maxPointsInLeafNode;
// Compute common prefixes
Arrays.fill(commonPrefixLengths, bytesPerDim);
reader.getValue(from, scratchBytesRef1);
for (int i = from + 1; i < to; ++i) {
reader.getValue(i, scratchBytesRef2);
for (int dim=0;dim values, int[] docs, int docsOffset) throws IOException {
byte[] lastPackedValue = new byte[packedBytesLength];
int lastDoc = -1;
for (int i=0;i 0) {
int cmp = StringHelper.compare(bytesPerDim, lastPackedValue, dimOffset, packedValue, packedValueOffset + dimOffset);
if (cmp > 0) {
throw new AssertionError("values out of order: last value=" + new BytesRef(lastPackedValue) + " current value=" + new BytesRef(packedValue, packedValueOffset, packedBytesLength) + " ord=" + ord);
}
if (cmp == 0 && doc < lastDoc) {
throw new AssertionError("docs out of order: last doc=" + lastDoc + " current doc=" + doc + " ord=" + ord);
}
}
System.arraycopy(packedValue, packedValueOffset, lastPackedValue, 0, packedBytesLength);
return true;
}
PointWriter getPointWriter(long count, String desc) throws IOException {
if (count <= maxPointsSortInHeap) {
int size = Math.toIntExact(count);
return new HeapPointWriter(size, size, packedBytesLength, longOrds, singleValuePerDoc);
} else {
return new OfflinePointWriter(tempDir, tempFileNamePrefix, packedBytesLength, longOrds, desc, count, singleValuePerDoc);
}
}
}