[
https://issues.apache.org/jira/browse/PARQUET-2159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684188#comment-17684188
]
ASF GitHub Bot commented on PARQUET-2159:
-----------------------------------------
jatin-bhateja commented on code in PR #1011:
URL: https://github.com/apache/parquet-mr/pull/1011#discussion_r1048037258
##########
parquet-generator/src/main/resources/ByteBitPackingVectorLE:
##########
@@ -0,0 +1,3218 @@
+/*
+ * 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.parquet.column.values.bitpacking;
+
+import jdk.incubator.vector.*;
+
+import java.nio.ByteBuffer;
+
+/**
+ * This is an auto-generated source file and should not edit it directly.
+ */
+public abstract class ByteBitPackingVectorLE {
+ private static final BytePacker[] packers = new BytePacker[33];
+
+ static {
+ packers[0] = new Packer0();
+ packers[1] = new Packer1();
+ packers[2] = new Packer2();
+ packers[3] = new Packer3();
+ packers[4] = new Packer4();
+ packers[5] = new Packer5();
+ packers[6] = new Packer6();
+ packers[7] = new Packer7();
+ packers[8] = new Packer8();
+ packers[9] = new Packer9();
+ packers[10] = new Packer10();
+ packers[11] = new Packer11();
+ packers[12] = new Packer12();
+ packers[13] = new Packer13();
+ packers[14] = new Packer14();
+ packers[15] = new Packer15();
+ packers[16] = new Packer16();
+ packers[17] = new Packer17();
+ packers[18] = new Packer18();
+ packers[19] = new Packer19();
+ packers[20] = new Packer20();
+ packers[21] = new Packer21();
+ packers[22] = new Packer22();
+ packers[23] = new Packer23();
+ packers[24] = new Packer24();
+ packers[25] = new Packer25();
+ packers[26] = new Packer26();
+ packers[27] = new Packer27();
+ packers[28] = new Packer28();
+ packers[29] = new Packer29();
+ packers[30] = new Packer30();
+ packers[31] = new Packer31();
+ packers[32] = new Packer32();
+ }
+
+ public static final BytePackerFactory factory = new BytePackerFactory() {
+ public BytePacker newBytePacker(int bitWidth) {
+ return packers[bitWidth];
+ }
+ };
+
+ private static final class Packer0 extends BytePacker {
+ private int unpackCount = 0;
+
+ private Packer0() {
+ super(0);
+ }
+
+ public int getUnpackCount() {
+ return unpackCount;
+ }
+
+ public final void pack8Values(final int[] in, final int inPos, final
byte[] out, final int outPos) {
+ }
+
+ public final void pack32Values(final int[] in, final int inPos, final
byte[] out, final int outPos) {
+ }
+
+ public final void unpack8Values(final byte[] in, final int inPos, final
int[] out, final int outPos) {
+ }
+
+ public final void unpack8Values(final ByteBuffer in, final int inPos,
final int[] out, final int outPos) {
+ }
+
+ public final void unpack32Values(final byte[] in, final int inPos, final
int[] out, final int outPos) {
+ }
+
+ public final void unpack32Values(final ByteBuffer in, final int inPos,
final int[] out, final int outPos) {
+ }
+
+ public final void unpackValuesVector(final byte[] input, final int inPos,
final int[] output, final int outPos) {
+ }
+
+ public final void unpackValuesVector(final ByteBuffer input, final int
inPos, final int[] output, final int outPos) {
Review Comment:
All these empty definitions can be removed if we introduce a new class
ByteVectorPacker which inherit from existing BytePacker.
> Parquet bit-packing de/encode optimization
> ------------------------------------------
>
> Key: PARQUET-2159
> URL: https://issues.apache.org/jira/browse/PARQUET-2159
> Project: Parquet
> Issue Type: Improvement
> Components: parquet-mr
> Affects Versions: 1.13.0
> Reporter: Fang-Xie
> Assignee: Fang-Xie
> Priority: Major
> Fix For: 1.13.0
>
> Attachments: image-2022-06-15-22-56-08-396.png,
> image-2022-06-15-22-57-15-964.png, image-2022-06-15-22-58-01-442.png,
> image-2022-06-15-22-58-40-704.png
>
>
> Current Spark use Parquet-mr as parquet reader/writer library, but the
> built-in bit-packing en/decode is not efficient enough.
> Our optimization for Parquet bit-packing en/decode with jdk.incubator.vector
> in Open JDK18 brings prominent performance improvement.
> Due to Vector API is added to OpenJDK since 16, So this optimization request
> JDK16 or higher.
> *Below are our test results*
> Functional test is based on open-source parquet-mr Bit-pack decoding
> function: *_public final void unpack8Values(final byte[] in, final int inPos,
> final int[] out, final int outPos)_* __
> compared with our implementation with vector API *_public final void
> unpack8Values_vec(final byte[] in, final int inPos, final int[] out, final
> int outPos)_*
> We tested 10 pairs (open source parquet bit unpacking vs ours optimized
> vectorized SIMD implementation) decode function with bit
> width=\{1,2,3,4,5,6,7,8,9,10}, below are test results:
> !image-2022-06-15-22-56-08-396.png|width=437,height=223!
> We integrated our bit-packing decode implementation into parquet-mr, tested
> the parquet batch reader ability from Spark VectorizedParquetRecordReader
> which get parquet column data by the batch way. We construct parquet file
> with different row count and column count, the column data type is Int32, the
> maximum int value is 127 which satisfies bit pack encode with bit width=7,
> the count of the row is from 10k to 100 million and the count of the column
> is from 1 to 4.
> !image-2022-06-15-22-57-15-964.png|width=453,height=229!
> !image-2022-06-15-22-58-01-442.png|width=439,height=217!
> !image-2022-06-15-22-58-40-704.png|width=415,height=208!
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
