/* * 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. */ package org.apache.lucene.util.packed; import static org.apache.lucene.util.packed.MonotonicBlockPackedReader.expected; import java.io.IOException; import org.apache.lucene.store.DataOutput; import org.apache.lucene.util.BitUtil; /** * A writer for large monotonically increasing sequences of positive longs. * <p> * The sequence is divided into fixed-size blocks and for each block, values * are modeled after a linear function f: x → A × x + B. The block * encodes deltas from the expected values computed from this function using as * few bits as possible. * <p> * Format: * <ul> * <li><BLock><sup>BlockCount</sup> * <li>BlockCount: ⌈ ValueCount / BlockSize ⌉ * <li>Block: <Header, (Ints)> * <li>Header: <B, A, BitsPerValue> * <li>B: the B from f: x → A × x + B using a * {@link BitUtil#zigZagEncode(long) zig-zag encoded} * {@link DataOutput#writeVLong(long) vLong} * <li>A: the A from f: x → A × x + B encoded using * {@link Float#floatToIntBits(float)} on * {@link DataOutput#writeInt(int) 4 bytes} * <li>BitsPerValue: a {@link DataOutput#writeVInt(int) variable-length int} * <li>Ints: if BitsPerValue is <tt>0</tt>, then there is nothing to read and * all values perfectly match the result of the function. Otherwise, these * are the {@link PackedInts packed} deltas from the expected value * (computed from the function) using exaclty BitsPerValue bits per value. * </ul> * @see MonotonicBlockPackedReader * @lucene.internal */ public final class MonotonicBlockPackedWriter extends AbstractBlockPackedWriter { /** * Sole constructor. * @param blockSize the number of values of a single block, must be a power of 2 */ public MonotonicBlockPackedWriter(DataOutput out, int blockSize) { super(out, blockSize); } @Override public void add(long l) throws IOException { assert l >= 0; super.add(l); } protected void flush() throws IOException { assert off > 0; final float avg = off == 1 ? 0f : (float) (values[off - 1] - values[0]) / (off - 1); long min = values[0]; // adjust min so that all deltas will be positive for (int i = 1; i < off; ++i) { final long actual = values[i]; final long expected = expected(min, avg, i); if (expected > actual) { min -= (expected - actual); } } long maxDelta = 0; for (int i = 0; i < off; ++i) { values[i] = values[i] - expected(min, avg, i); maxDelta = Math.max(maxDelta, values[i]); } out.writeZLong(min); out.writeInt(Float.floatToIntBits(avg)); if (maxDelta == 0) { out.writeVInt(0); } else { final int bitsRequired = PackedInts.bitsRequired(maxDelta); out.writeVInt(bitsRequired); writeValues(bitsRequired); } off = 0; } }