// This file has been automatically generated, DO NOT EDIT

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package org.apache.lucene.util.packed;


Efficient sequential read/write of packed integers.
/** * Efficient sequential read/write of packed integers. */
abstract class BulkOperation implements PackedInts.Decoder, PackedInts.Encoder { private static final BulkOperation[] packedBulkOps = new BulkOperation[] { new BulkOperationPacked1(), new BulkOperationPacked2(), new BulkOperationPacked3(), new BulkOperationPacked4(), new BulkOperationPacked5(), new BulkOperationPacked6(), new BulkOperationPacked7(), new BulkOperationPacked8(), new BulkOperationPacked9(), new BulkOperationPacked10(), new BulkOperationPacked11(), new BulkOperationPacked12(), new BulkOperationPacked13(), new BulkOperationPacked14(), new BulkOperationPacked15(), new BulkOperationPacked16(), new BulkOperationPacked17(), new BulkOperationPacked18(), new BulkOperationPacked19(), new BulkOperationPacked20(), new BulkOperationPacked21(), new BulkOperationPacked22(), new BulkOperationPacked23(), new BulkOperationPacked24(), new BulkOperationPacked(25), new BulkOperationPacked(26), new BulkOperationPacked(27), new BulkOperationPacked(28), new BulkOperationPacked(29), new BulkOperationPacked(30), new BulkOperationPacked(31), new BulkOperationPacked(32), new BulkOperationPacked(33), new BulkOperationPacked(34), new BulkOperationPacked(35), new BulkOperationPacked(36), new BulkOperationPacked(37), new BulkOperationPacked(38), new BulkOperationPacked(39), new BulkOperationPacked(40), new BulkOperationPacked(41), new BulkOperationPacked(42), new BulkOperationPacked(43), new BulkOperationPacked(44), new BulkOperationPacked(45), new BulkOperationPacked(46), new BulkOperationPacked(47), new BulkOperationPacked(48), new BulkOperationPacked(49), new BulkOperationPacked(50), new BulkOperationPacked(51), new BulkOperationPacked(52), new BulkOperationPacked(53), new BulkOperationPacked(54), new BulkOperationPacked(55), new BulkOperationPacked(56), new BulkOperationPacked(57), new BulkOperationPacked(58), new BulkOperationPacked(59), new BulkOperationPacked(60), new BulkOperationPacked(61), new BulkOperationPacked(62), new BulkOperationPacked(63), new BulkOperationPacked(64), }; // NOTE: this is sparse (some entries are null): private static final BulkOperation[] packedSingleBlockBulkOps = new BulkOperation[] { new BulkOperationPackedSingleBlock(1), new BulkOperationPackedSingleBlock(2), new BulkOperationPackedSingleBlock(3), new BulkOperationPackedSingleBlock(4), new BulkOperationPackedSingleBlock(5), new BulkOperationPackedSingleBlock(6), new BulkOperationPackedSingleBlock(7), new BulkOperationPackedSingleBlock(8), new BulkOperationPackedSingleBlock(9), new BulkOperationPackedSingleBlock(10), null, new BulkOperationPackedSingleBlock(12), null, null, null, new BulkOperationPackedSingleBlock(16), null, null, null, null, new BulkOperationPackedSingleBlock(21), null, null, null, null, null, null, null, null, null, null, new BulkOperationPackedSingleBlock(32), }; public static BulkOperation of(PackedInts.Format format, int bitsPerValue) { switch (format) { case PACKED: assert packedBulkOps[bitsPerValue - 1] != null; return packedBulkOps[bitsPerValue - 1]; case PACKED_SINGLE_BLOCK: assert packedSingleBlockBulkOps[bitsPerValue - 1] != null; return packedSingleBlockBulkOps[bitsPerValue - 1]; default: throw new AssertionError(); } } protected int writeLong(long block, byte[] blocks, int blocksOffset) { for (int j = 1; j <= 8; ++j) { blocks[blocksOffset++] = (byte) (block >>> (64 - (j << 3))); } return blocksOffset; }
For every number of bits per value, there is a minimum number of blocks (b) / values (v) you need to write in order to reach the next block boundary: - 16 bits per value -> b=2, v=1 - 24 bits per value -> b=3, v=1 - 50 bits per value -> b=25, v=4 - 63 bits per value -> b=63, v=8 - ... A bulk read consists in copying iterations*v values that are contained in iterations*b blocks into a long[] (higher values of iterations are likely to yield a better throughput): this requires n * (b + 8v) bytes of memory. This method computes iterations as ramBudget / (b + 8v) (since a long is 8 bytes).
/** * For every number of bits per value, there is a minimum number of * blocks (b) / values (v) you need to write in order to reach the next block * boundary: * - 16 bits per value -&gt; b=2, v=1 * - 24 bits per value -&gt; b=3, v=1 * - 50 bits per value -&gt; b=25, v=4 * - 63 bits per value -&gt; b=63, v=8 * - ... * * A bulk read consists in copying <code>iterations*v</code> values that are * contained in <code>iterations*b</code> blocks into a <code>long[]</code> * (higher values of <code>iterations</code> are likely to yield a better * throughput): this requires n * (b + 8v) bytes of memory. * * This method computes <code>iterations</code> as * <code>ramBudget / (b + 8v)</code> (since a long is 8 bytes). */
public final int computeIterations(int valueCount, int ramBudget) { final int iterations = ramBudget / (byteBlockCount() + 8 * byteValueCount()); if (iterations == 0) { // at least 1 return 1; } else if ((iterations - 1) * byteValueCount() >= valueCount) { // don't allocate for more than the size of the reader return (int) Math.ceil((double) valueCount / byteValueCount()); } else { return iterations; } } }