shangxinli commented on a change in pull request #796: URL: https://github.com/apache/parquet-mr/pull/796#discussion_r442379823
########## File path: parquet-cli/src/main/java/org/apache/parquet/cli/commands/TransCompressionCommand.java ########## @@ -0,0 +1,302 @@ +/* + * 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.cli.commands; + +import com.beust.jcommander.Parameter; +import com.beust.jcommander.Parameters; +import com.google.common.base.Preconditions; +import com.google.common.collect.Lists; +import org.apache.hadoop.fs.Path; +import org.apache.parquet.HadoopReadOptions; +import org.apache.parquet.ParquetReadOptions; +import org.apache.parquet.bytes.BytesInput; +import org.apache.parquet.cli.BaseCommand; +import org.apache.parquet.column.ColumnDescriptor; +import org.apache.parquet.column.impl.ColumnReadStoreImpl; +import org.apache.parquet.column.page.DictionaryPage; +import org.apache.parquet.column.page.PageReadStore; +import org.apache.parquet.column.statistics.Statistics; +import org.apache.parquet.compression.CompressionCodecFactory; +import org.apache.parquet.compression.CompressionCodecFactory.BytesInputCompressor; +import org.apache.parquet.compression.CompressionCodecFactory.BytesInputDecompressor; +import org.apache.parquet.format.DataPageHeader; +import org.apache.parquet.format.DataPageHeaderV2; +import org.apache.parquet.format.DictionaryPageHeader; +import org.apache.parquet.format.PageHeader; +import org.apache.parquet.format.Util; +import org.apache.parquet.format.converter.ParquetMetadataConverter; +import org.apache.parquet.hadoop.ParquetFileReader; +import org.apache.parquet.hadoop.ParquetFileWriter; +import org.apache.parquet.hadoop.metadata.BlockMetaData; +import org.apache.parquet.hadoop.metadata.ColumnChunkMetaData; +import org.apache.parquet.hadoop.metadata.ColumnPath; +import org.apache.parquet.hadoop.metadata.CompressionCodecName; +import org.apache.parquet.hadoop.metadata.ParquetMetadata; +import org.apache.parquet.hadoop.util.HadoopCodecs; +import org.apache.parquet.hadoop.util.HadoopInputFile; +import org.apache.parquet.internal.column.columnindex.ColumnIndex; +import org.apache.parquet.internal.column.columnindex.OffsetIndex; +import org.apache.parquet.io.InputFile; +import org.apache.parquet.io.ParquetEncodingException; +import org.apache.parquet.io.api.Converter; +import org.apache.parquet.io.api.GroupConverter; +import org.apache.parquet.io.api.PrimitiveConverter; +import org.apache.parquet.schema.MessageType; +import org.apache.parquet.schema.PrimitiveType; +import org.slf4j.Logger; + +import java.io.IOException; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +import static org.apache.parquet.format.converter.ParquetMetadataConverter.NO_FILTER; + +@Parameters(commandDescription="Translate the compression from one to another") +public class TransCompressionCommand extends BaseCommand { + + public TransCompressionCommand(Logger console) { + super(console); + } + + @Parameter(description = "<input parquet file path>") + String input; + + @Parameter(description = "<output parquet file path>") + String output; + + @Parameter(description = "<new compression codec") + String codec; + + @Override + @SuppressWarnings("unchecked") + public int run() throws IOException { + Preconditions.checkArgument(input != null && output != null, + "Both input and output parquet file paths are required."); + + Preconditions.checkArgument(codec != null, + "The codec cannot be null"); + + Path inPath = new Path(input); + Path outPath = new Path(output); + CompressionCodecName codecName = CompressionCodecName.valueOf(codec); + + ParquetMetadata metaData = ParquetFileReader.readFooter(getConf(), inPath, NO_FILTER); + MessageType schema = metaData.getFileMetaData().getSchema(); + + try (TransParquetFileReader reader = new TransParquetFileReader(HadoopInputFile.fromPath(inPath, getConf()), HadoopReadOptions.builder(getConf()).build())) { + ParquetFileWriter writer = new ParquetFileWriter(getConf(), schema, outPath, ParquetFileWriter.Mode.CREATE); + writer.start(); + processBlocks(reader, writer, metaData, schema, metaData.getFileMetaData().getCreatedBy(), codecName); + writer.end(metaData.getFileMetaData().getKeyValueMetaData()); + } + return 0; + } + + @Override + public List<String> getExamples() { + return Lists.newArrayList( + "# Translate the compression from one to another", + " input.parquet output.parquet ZSTD" + ); + } + private void processBlocks(TransParquetFileReader reader, ParquetFileWriter writer, ParquetMetadata meta, MessageType schema, + String createdBy, CompressionCodecName codecName) throws IOException { + int blockIndex = 0; + PageReadStore store = reader.readNextRowGroup(); + while (store != null) { + writer.startBlock(store.getRowCount()); + BlockMetaData blockMetaData = meta.getBlocks().get(blockIndex); + List<ColumnChunkMetaData> columnsInOrder = blockMetaData.getColumns(); + Map<ColumnPath, ColumnDescriptor> descriptorsMap = schema.getColumns().stream().collect( + Collectors.toMap(x -> ColumnPath.get(x.getPath()), x -> x)); + for (int i = 0; i < columnsInOrder.size(); i += 1) { + ColumnChunkMetaData chunk = columnsInOrder.get(i); + ColumnReadStoreImpl crstore = new ColumnReadStoreImpl(store, new DumpGroupConverter(), schema, createdBy); + ColumnDescriptor columnDescriptor = descriptorsMap.get(chunk.getPath()); + writer.startColumn(columnDescriptor, crstore.getColumnReader(columnDescriptor).getTotalValueCount(), codecName); + processChunk(reader, writer, chunk, createdBy, codecName); + writer.endColumn(); + } + writer.endBlock(); + store = reader.readNextRowGroup(); + blockIndex++; + } + } + + private void processChunk(TransParquetFileReader reader, ParquetFileWriter writer, ColumnChunkMetaData chunk, + String createdBy, CompressionCodecName codecName) throws IOException { + CompressionCodecFactory codecFactory = HadoopCodecs.newFactory(0); + BytesInputDecompressor decompressor = codecFactory.getDecompressor(chunk.getCodec()); + BytesInputCompressor compressor = codecFactory.getCompressor(codecName); + ColumnIndex columnIndex = reader.readColumnIndex(chunk); + OffsetIndex offsetIndex = reader.readOffsetIndex(chunk); + + reader.setStreamPosition(chunk.getStartingPos()); + DictionaryPage dictionaryPage = null; + long readValues = 0; + Statistics statistics = null; + ParquetMetadataConverter converter = new ParquetMetadataConverter(); + int pageIndex = 0; + long totalChunkValues = chunk.getValueCount(); + while (readValues < totalChunkValues) { + PageHeader pageHeader = reader.readPageHeader(); + byte[] pageLoad; + switch (pageHeader.type) { + case DICTIONARY_PAGE: + if (dictionaryPage != null) { + throw new IOException("has more than one dictionary page in column chunk"); + } + DictionaryPageHeader dictPageHeader = pageHeader.dictionary_page_header; + pageLoad = translatePageLoad(reader, true, compressor, decompressor, pageHeader.getCompressed_page_size(), pageHeader.getUncompressed_page_size()); + writer.writeDictionaryPage(new DictionaryPage(BytesInput.from(pageLoad), + pageHeader.getUncompressed_page_size(), + converter.getEncoding(dictPageHeader.getEncoding()))); + break; + case DATA_PAGE: + DataPageHeader headerV1 = pageHeader.data_page_header; + pageLoad = translatePageLoad(reader, true, compressor, decompressor, pageHeader.getCompressed_page_size(), pageHeader.getUncompressed_page_size()); + statistics = convertStatistics(createdBy, chunk.getPrimitiveType(), headerV1.getStatistics(), columnIndex, pageIndex, converter); + readValues += headerV1.getNum_values(); + if (offsetIndex != null) { + long rowCount = 1 + offsetIndex.getLastRowIndex(pageIndex, totalChunkValues) - offsetIndex.getFirstRowIndex(pageIndex); + writer.writeDataPage(toIntWithCheck(headerV1.getNum_values()), + pageHeader.uncompressed_page_size, + BytesInput.from(pageLoad), + statistics, + toIntWithCheck(rowCount), + converter.getEncoding(headerV1.getRepetition_level_encoding()), + converter.getEncoding(headerV1.getDefinition_level_encoding()), + converter.getEncoding(headerV1.getEncoding())); + } else { + writer.writeDataPage(toIntWithCheck(headerV1.getNum_values()), + pageHeader.uncompressed_page_size, + BytesInput.from(pageLoad), + statistics, + converter.getEncoding(headerV1.getRepetition_level_encoding()), + converter.getEncoding(headerV1.getDefinition_level_encoding()), + converter.getEncoding(headerV1.getEncoding())); + } + pageIndex++; + break; + case DATA_PAGE_V2: + DataPageHeaderV2 headerV2 = pageHeader.data_page_header_v2; + int rlLength = headerV2.getRepetition_levels_byte_length(); + BytesInput rlLevels = readBlock(rlLength, reader); + int dlLength = headerV2.getDefinition_levels_byte_length(); + BytesInput dlLevels = readBlock(dlLength, reader); + int payLoadLength = pageHeader.getCompressed_page_size() - rlLength - dlLength; + int rawDataLength = pageHeader.getUncompressed_page_size() - rlLength - dlLength; + pageLoad = translatePageLoad(reader, headerV2.is_compressed, compressor, decompressor, payLoadLength, rawDataLength); + statistics = convertStatistics(createdBy, chunk.getPrimitiveType(), headerV2.getStatistics(), columnIndex, pageIndex, converter); + readValues += headerV2.getNum_values(); + writer.writeDataPageV2(headerV2.getNum_rows(), + headerV2.getNum_nulls(), + headerV2.getNum_values(), + rlLevels, + dlLevels, + converter.getEncoding(headerV2.getEncoding()), + BytesInput.from(pageLoad), + pageHeader.uncompressed_page_size - rlLength - dlLength, + statistics); + pageIndex++; + break; + default: + break; + } + } + } + + private Statistics convertStatistics(String createdBy, PrimitiveType type, org.apache.parquet.format.Statistics pageStatistics, + ColumnIndex columnIndex, int pageIndex, ParquetMetadataConverter converter) throws IOException { + if (pageStatistics != null) { + return converter.fromParquetStatistics(createdBy, pageStatistics, type); + } else if (columnIndex != null) { + if (columnIndex.getNullPages() == null) { + throw new IOException("columnIndex has null variable 'nullPages' which indicates corrupted data for type: " + type.getName()); + } + if (pageIndex > columnIndex.getNullPages().size()) { + throw new IOException("There are more pages " + pageIndex + " found in the column than in the columnIndex " + columnIndex.getNullPages().size()); + } + org.apache.parquet.column.statistics.Statistics.Builder statsBuilder = org.apache.parquet.column.statistics.Statistics.getBuilderForReading(type); + statsBuilder.withNumNulls(columnIndex.getNullCounts().get(pageIndex)); + + if (!columnIndex.getNullPages().get(pageIndex)) { + statsBuilder.withMin(columnIndex.getMinValues().get(pageIndex).array().clone()); + statsBuilder.withMax(columnIndex.getMaxValues().get(pageIndex).array().clone()); + } + return statsBuilder.build(); + } else { + return null; + } + } + + private byte[] translatePageLoad(TransParquetFileReader reader, boolean isCompressed, BytesInputCompressor compressor, + BytesInputDecompressor decompressor, int payloadLength, int rawDataLength) throws IOException { + BytesInput data = readBlock(payloadLength, reader); + if (isCompressed) { + data = decompressor.decompress(data, rawDataLength); + } + BytesInput newCompressedData = compressor.compress(data); + return newCompressedData.toByteArray(); + } + + private BytesInput readBlock(int length, TransParquetFileReader reader) throws IOException { + byte[] data = new byte[length]; + reader.blockRead(data); + return BytesInput.from(data); + } + + private int toIntWithCheck(long size) { + if ((int)size != size) { + throw new ParquetEncodingException("size is bigger than " + Integer.MAX_VALUE + " bytes: " + size); + } + return (int)size; + } + + private static final class DumpGroupConverter extends GroupConverter { + @Override public void start() {} + @Override public void end() {} + @Override public Converter getConverter(int fieldIndex) { return new DumpConverter(); } + } + + private static final class DumpConverter extends PrimitiveConverter { + @Override public GroupConverter asGroupConverter() { return new DumpGroupConverter(); } + } Review comment: Got it. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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