wgtmac commented on code in PR #1014: URL: https://github.com/apache/parquet-mr/pull/1014#discussion_r1059400234
########## parquet-hadoop/src/main/java/org/apache/parquet/hadoop/rewrite/ParquetRewriter.java: ########## @@ -0,0 +1,733 @@ +/* + * 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.hadoop.rewrite; + +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.fs.Path; +import org.apache.parquet.HadoopReadOptions; +import org.apache.parquet.bytes.BytesInput; +import org.apache.parquet.column.ColumnDescriptor; +import org.apache.parquet.column.ColumnReader; +import org.apache.parquet.column.ColumnWriteStore; +import org.apache.parquet.column.ColumnWriter; +import org.apache.parquet.column.ParquetProperties; +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.column.values.bloomfilter.BloomFilter; +import org.apache.parquet.compression.CompressionCodecFactory; +import org.apache.parquet.crypto.AesCipher; +import org.apache.parquet.crypto.InternalColumnEncryptionSetup; +import org.apache.parquet.crypto.InternalFileEncryptor; +import org.apache.parquet.format.BlockCipher; +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.converter.ParquetMetadataConverter; +import org.apache.parquet.hadoop.CodecFactory; +import org.apache.parquet.hadoop.ColumnChunkPageWriteStore; +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.CompressionConverter.TransParquetFileReader; +import org.apache.parquet.hadoop.util.HadoopCodecs; +import org.apache.parquet.hadoop.util.HadoopInputFile; +import org.apache.parquet.hadoop.util.HadoopOutputFile; +import org.apache.parquet.internal.column.columnindex.ColumnIndex; +import org.apache.parquet.internal.column.columnindex.OffsetIndex; +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.GroupType; +import org.apache.parquet.schema.MessageType; +import org.apache.parquet.schema.PrimitiveType; +import org.apache.parquet.schema.Type; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.io.Closeable; +import java.io.IOException; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.HashSet; +import java.util.Map; +import java.util.List; +import java.util.Set; +import java.util.stream.Collectors; + +import static org.apache.parquet.format.converter.ParquetMetadataConverter.NO_FILTER; +import static org.apache.parquet.column.ParquetProperties.DEFAULT_COLUMN_INDEX_TRUNCATE_LENGTH; +import static org.apache.parquet.column.ParquetProperties.DEFAULT_STATISTICS_TRUNCATE_LENGTH; +import static org.apache.parquet.crypto.ModuleCipherFactory.ModuleType; +import static org.apache.parquet.hadoop.ParquetWriter.DEFAULT_BLOCK_SIZE; +import static org.apache.parquet.hadoop.ParquetWriter.MAX_PADDING_SIZE_DEFAULT; + +public class ParquetRewriter implements Closeable { + + private static final Logger LOG = LoggerFactory.getLogger(ParquetRewriter.class); + private final int pageBufferSize = ParquetProperties.DEFAULT_PAGE_SIZE * 2; + private final byte[] pageBuffer = new byte[pageBufferSize]; + private TransParquetFileReader reader; + private ParquetFileWriter writer; + private ParquetMetadata meta; + private MessageType schema; + private String createdBy; + private CompressionCodecName codecName = null; + private List<String> pruneColumns = null; + private Map<ColumnPath, MaskMode> maskColumns = null; + private Set<ColumnPath> encryptColumns = null; + private boolean encryptMode = false; + + public ParquetRewriter(RewriteOptions options) throws IOException { + Path inPath = options.getInputFile(); + Path outPath = options.getOutputFile(); + Configuration conf = options.getConf(); + + // TODO: set more member variables + codecName = options.getCodecName(); + pruneColumns = options.getPruneColumns(); + + // Get file metadata and full schema from the input file + meta = ParquetFileReader.readFooter(conf, inPath, NO_FILTER); + schema = meta.getFileMetaData().getSchema(); + createdBy = meta.getFileMetaData().getCreatedBy(); + + // Prune columns if specified + if (pruneColumns != null && !pruneColumns.isEmpty()) { + List<String> paths = new ArrayList<>(); + getPaths(schema, paths, null); + for (String col : pruneColumns) { + if (!paths.contains(col)) { + LOG.warn("Input column name {} doesn't show up in the schema of file {}", col, inPath.getName()); + } + } + + Set<ColumnPath> prunePaths = convertToColumnPaths(pruneColumns); + schema = pruneColumnsInSchema(schema, prunePaths); + } + + if (options.getMaskColumns() != null) { + this.maskColumns = new HashMap<>(); + for (Map.Entry<String, MaskMode> col : options.getMaskColumns().entrySet()) { + maskColumns.put(ColumnPath.fromDotString(col.getKey()), col.getValue()); + } + } + + if (options.getEncryptColumns() != null && options.getFileEncryptionProperties() != null) { + this.encryptColumns = convertToColumnPaths(options.getEncryptColumns()); + this.encryptMode = true; + // TODO: make sure options.getFileEncryptionProperties() is set + } + + reader = new TransParquetFileReader( + HadoopInputFile.fromPath(inPath, conf), HadoopReadOptions.builder(conf).build()); + + ParquetFileWriter.Mode writerMode = ParquetFileWriter.Mode.CREATE; + writer = new ParquetFileWriter(HadoopOutputFile.fromPath(outPath, conf), schema, writerMode, + DEFAULT_BLOCK_SIZE, MAX_PADDING_SIZE_DEFAULT, DEFAULT_COLUMN_INDEX_TRUNCATE_LENGTH, + DEFAULT_STATISTICS_TRUNCATE_LENGTH, ParquetProperties.DEFAULT_PAGE_WRITE_CHECKSUM_ENABLED, + options.getFileEncryptionProperties()); + writer.start(); + } + + // Ctor for legacy CompressionConverter and ColumnMasker + public ParquetRewriter(TransParquetFileReader reader, + ParquetFileWriter writer, + ParquetMetadata meta, + MessageType schema, + String createdBy, + CompressionCodecName codecName, + List<String> maskColumns, + MaskMode maskMode) { + this.reader = reader; + this.writer = writer; + this.meta = meta; + this.schema = schema; + this.createdBy = createdBy == null ? meta.getFileMetaData().getCreatedBy() : createdBy; + this.codecName = codecName; + if (maskColumns != null && maskMode != null) { + this.maskColumns = new HashMap<>(); + for (String col : maskColumns) { + this.maskColumns.put(ColumnPath.fromDotString(col), maskMode); + } + } + } + + @Override + public void close() throws IOException { + writer.end(meta.getFileMetaData().getKeyValueMetaData()); + } + + public void processBlocks() throws IOException { + PageReadStore store = reader.readNextRowGroup(); + ColumnReadStoreImpl crStore = new ColumnReadStoreImpl(store, new DummyGroupConverter(), schema, createdBy); + Map<ColumnPath, ColumnDescriptor> descriptorsMap = schema.getColumns().stream().collect( + Collectors.toMap(x -> ColumnPath.get(x.getPath()), x -> x)); + + int blockId = 0; + while (store != null) { + writer.startBlock(store.getRowCount()); + + BlockMetaData blockMetaData = meta.getBlocks().get(blockId); + List<ColumnChunkMetaData> columnsInOrder = blockMetaData.getColumns(); + + for (int i = 0, columnId = 0; i < columnsInOrder.size(); i += 1) { + ColumnChunkMetaData chunk = columnsInOrder.get(i); + ColumnDescriptor descriptor = descriptorsMap.get(chunk.getPath()); + + // This column has been pruned. + if (descriptor == null) { + continue; + } + + // If a column is encrypted, we simply throw exception. + // Later we can add a feature to trans-encrypt it with different keys + if (chunk.isEncrypted()) { + throw new IOException("Column " + chunk.getPath().toDotString() + " is already encrypted"); + } + + reader.setStreamPosition(chunk.getStartingPos()); + CompressionCodecName newCodecName = codecName == null ? chunk.getCodec() : codecName; + EncryptorRunTime encryptorRunTime = null; + if (this.encryptMode) { + encryptorRunTime = new EncryptorRunTime(writer.getEncryptor(), chunk, blockId, columnId); + } + boolean encryptColumn = encryptColumns != null && encryptColumns.contains(chunk.getPath()); + + if (maskColumns != null && maskColumns.containsKey(chunk.getPath())) { + // Mask column and compress it again. + MaskMode maskMode = maskColumns.get(chunk.getPath()); + if (maskMode.equals(MaskMode.NULLIFY)) { + Type.Repetition repetition = descriptor.getPrimitiveType().getRepetition(); + if (repetition.equals(Type.Repetition.REQUIRED)) { + throw new IOException( + "Required column [" + descriptor.getPrimitiveType().getName() + "] cannot be nullified"); + } + nullifyColumn(descriptor, chunk, crStore, writer, schema, newCodecName, encryptorRunTime, encryptColumn); + } else { + throw new UnsupportedOperationException("Only nullify is supported for now"); + } + } else if (encryptMode || codecName != null) { + // Translate compression and/or encryption + writer.startColumn(descriptor, crStore.getColumnReader(descriptor).getTotalValueCount(), newCodecName); + processChunk(chunk, newCodecName, encryptorRunTime, encryptColumn); + writer.endColumn(); + } else { + // Nothing changed, simply copy the binary data. + BloomFilter bloomFilter = reader.readBloomFilter(chunk); + ColumnIndex columnIndex = reader.readColumnIndex(chunk); + OffsetIndex offsetIndex = reader.readOffsetIndex(chunk); + writer.appendColumnChunk(descriptor, reader.getStream(), chunk, bloomFilter, columnIndex, offsetIndex); + } + + columnId++; + } + + writer.endBlock(); + store = reader.readNextRowGroup(); + blockId++; + } + } + + private void processChunk(ColumnChunkMetaData chunk, + CompressionCodecName newCodecName, + EncryptorRunTime encryptorRunTime, + boolean encryptColumn) throws IOException { + CompressionCodecFactory codecFactory = HadoopCodecs.newFactory(0); + CompressionCodecFactory.BytesInputDecompressor decompressor = null; + CompressionCodecFactory.BytesInputCompressor compressor = null; + if (!newCodecName.equals(chunk.getCodec())) { + // Re-compress only if a different codec has been specified + decompressor = codecFactory.getDecompressor(chunk.getCodec()); + compressor = codecFactory.getCompressor(newCodecName); + } + + // EncryptorRunTime is only provided when encryption is required + BlockCipher.Encryptor metaEncryptor = null; + BlockCipher.Encryptor dataEncryptor = null; + byte[] dictPageAAD = null; + byte[] dataPageAAD = null; + byte[] dictPageHeaderAAD = null; + byte[] dataPageHeaderAAD = null; + if (encryptorRunTime != null) { + metaEncryptor = encryptorRunTime.getMetaDataEncryptor(); + dataEncryptor = encryptorRunTime.getDataEncryptor(); + dictPageAAD = encryptorRunTime.getDictPageAAD(); + dataPageAAD = encryptorRunTime.getDataPageAAD(); + dictPageHeaderAAD = encryptorRunTime.getDictPageHeaderAAD(); + dataPageHeaderAAD = encryptorRunTime.getDataPageHeaderAAD(); + } + + 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 pageOrdinal = 0; + long totalChunkValues = chunk.getValueCount(); + while (readValues < totalChunkValues) { + PageHeader pageHeader = reader.readPageHeader(); + int compressedPageSize = pageHeader.getCompressed_page_size(); + byte[] pageLoad; + switch (pageHeader.type) { + case DICTIONARY_PAGE: + if (dictionaryPage != null) { + throw new IOException("has more than one dictionary page in column chunk"); + } + //No quickUpdatePageAAD needed for dictionary page + DictionaryPageHeader dictPageHeader = pageHeader.dictionary_page_header; + pageLoad = processPageLoad(reader, + true, + compressor, + decompressor, + pageHeader.getCompressed_page_size(), + pageHeader.getUncompressed_page_size(), + encryptColumn, + dataEncryptor, + dictPageAAD); + writer.writeDictionaryPage(new DictionaryPage(BytesInput.from(pageLoad), + pageHeader.getUncompressed_page_size(), + dictPageHeader.getNum_values(), + converter.getEncoding(dictPageHeader.getEncoding())), + metaEncryptor, + dictPageHeaderAAD); + break; + case DATA_PAGE: + if (encryptColumn) { + AesCipher.quickUpdatePageAAD(dataPageHeaderAAD, pageOrdinal); + AesCipher.quickUpdatePageAAD(dataPageAAD, pageOrdinal); + } + DataPageHeader headerV1 = pageHeader.data_page_header; + pageLoad = processPageLoad(reader, + true, + compressor, + decompressor, + pageHeader.getCompressed_page_size(), + pageHeader.getUncompressed_page_size(), + encryptColumn, + dataEncryptor, + dataPageAAD); + statistics = convertStatistics( + createdBy, chunk.getPrimitiveType(), headerV1.getStatistics(), columnIndex, pageOrdinal, converter); + readValues += headerV1.getNum_values(); + if (offsetIndex != null) { + long rowCount = 1 + offsetIndex.getLastRowIndex( + pageOrdinal, totalChunkValues) - offsetIndex.getFirstRowIndex(pageOrdinal); + writer.writeDataPage(toIntWithCheck(headerV1.getNum_values()), + pageHeader.getUncompressed_page_size(), + BytesInput.from(pageLoad), + statistics, + toIntWithCheck(rowCount), + converter.getEncoding(headerV1.getRepetition_level_encoding()), + converter.getEncoding(headerV1.getDefinition_level_encoding()), + converter.getEncoding(headerV1.getEncoding()), + metaEncryptor, + dataPageHeaderAAD); + } else { + writer.writeDataPage(toIntWithCheck(headerV1.getNum_values()), + pageHeader.getUncompressed_page_size(), + BytesInput.from(pageLoad), + statistics, + converter.getEncoding(headerV1.getRepetition_level_encoding()), + converter.getEncoding(headerV1.getDefinition_level_encoding()), + converter.getEncoding(headerV1.getEncoding()), + metaEncryptor, + dataPageHeaderAAD); + } + pageOrdinal++; + break; + case DATA_PAGE_V2: + if (encryptColumn) { + AesCipher.quickUpdatePageAAD(dataPageHeaderAAD, pageOrdinal); + AesCipher.quickUpdatePageAAD(dataPageAAD, pageOrdinal); + } + DataPageHeaderV2 headerV2 = pageHeader.data_page_header_v2; + int rlLength = headerV2.getRepetition_levels_byte_length(); + BytesInput rlLevels = readBlockAllocate(rlLength, reader); + int dlLength = headerV2.getDefinition_levels_byte_length(); + BytesInput dlLevels = readBlockAllocate(dlLength, reader); + int payLoadLength = pageHeader.getCompressed_page_size() - rlLength - dlLength; + int rawDataLength = pageHeader.getUncompressed_page_size() - rlLength - dlLength; + pageLoad = processPageLoad( + reader, + headerV2.is_compressed, + compressor, + decompressor, + payLoadLength, + rawDataLength, + encryptColumn, + dataEncryptor, + dataPageAAD); + statistics = convertStatistics( + createdBy, chunk.getPrimitiveType(), headerV2.getStatistics(), columnIndex, pageOrdinal, 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), + rawDataLength, + statistics); + pageOrdinal++; + break; + default: + LOG.debug("skipping page of type {} of size {}", pageHeader.getType(), compressedPageSize); + break; + } + } + } + + private Statistics convertStatistics(String createdBy, + PrimitiveType type, + org.apache.parquet.format.Statistics pageStatistics, + ColumnIndex columnIndex, + int pageIndex, + ParquetMetadataConverter converter) throws IOException { + 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 if (pageStatistics != null) { + return converter.fromParquetStatistics(createdBy, pageStatistics, type); + } else { + return null; + } + } + + private byte[] processPageLoad(TransParquetFileReader reader, + boolean isCompressed, + CompressionCodecFactory.BytesInputCompressor compressor, + CompressionCodecFactory.BytesInputDecompressor decompressor, + int payloadLength, + int rawDataLength, + boolean encrypt, + BlockCipher.Encryptor dataEncryptor, + byte[] AAD) throws IOException { + BytesInput data = readBlock(payloadLength, reader); + + // recompress page load + if (compressor != null) { + if (isCompressed) { + data = decompressor.decompress(data, rawDataLength); + } + data = compressor.compress(data); + } + + if (!encrypt) { + return data.toByteArray(); + } + + // encrypt page load + return dataEncryptor.encrypt(data.toByteArray(), AAD); + } + + public BytesInput readBlock(int length, TransParquetFileReader reader) throws IOException { + byte[] data; + if (length > pageBufferSize) { + data = new byte[length]; + } else { + data = pageBuffer; + } + reader.blockRead(data, 0, length); + return BytesInput.from(data, 0, length); + } + + public BytesInput readBlockAllocate(int length, TransParquetFileReader reader) throws IOException { + byte[] data = new byte[length]; + reader.blockRead(data, 0, length); + return BytesInput.from(data, 0, length); + } + + private int toIntWithCheck(long size) { + if ((int)size != size) { + throw new ParquetEncodingException("size is bigger than " + Integer.MAX_VALUE + " bytes: " + size); + } + return (int)size; + } + + // We have to rewrite getPaths because MessageType only get level 0 paths + private void getPaths(GroupType schema, List<String> paths, String parent) { + List<Type> fields = schema.getFields(); + String prefix = (parent == null) ? "" : parent + "."; + for (Type field : fields) { + paths.add(prefix + field.getName()); + if (field instanceof GroupType) { + getPaths(field.asGroupType(), paths, prefix + field.getName()); + } + } + } + + private MessageType pruneColumnsInSchema(MessageType schema, Set<ColumnPath> prunePaths) { + List<Type> fields = schema.getFields(); + List<String> currentPath = new ArrayList<>(); + List<Type> prunedFields = pruneColumnsInFields(fields, currentPath, prunePaths); + MessageType newSchema = new MessageType(schema.getName(), prunedFields); + return newSchema; + } + + private List<Type> pruneColumnsInFields(List<Type> fields, List<String> currentPath, Set<ColumnPath> prunePaths) { + List<Type> prunedFields = new ArrayList<>(); + for (Type childField : fields) { + Type prunedChildField = pruneColumnsInField(childField, currentPath, prunePaths); + if (prunedChildField != null) { + prunedFields.add(prunedChildField); + } + } + return prunedFields; + } + + private Type pruneColumnsInField(Type field, List<String> currentPath, Set<ColumnPath> prunePaths) { + String fieldName = field.getName(); + currentPath.add(fieldName); + ColumnPath path = ColumnPath.get(currentPath.toArray(new String[0])); + Type prunedField = null; + if (!prunePaths.contains(path)) { + if (field.isPrimitive()) { + prunedField = field; + } else { + List<Type> childFields = ((GroupType) field).getFields(); + List<Type> prunedFields = pruneColumnsInFields(childFields, currentPath, prunePaths); + if (prunedFields.size() > 0) { + prunedField = ((GroupType) field).withNewFields(prunedFields); + } + } + } + + currentPath.remove(fieldName); + return prunedField; + } + + private Set<ColumnPath> convertToColumnPaths(List<String> cols) { + Set<ColumnPath> prunePaths = new HashSet<>(); + for (String col : cols) { + prunePaths.add(ColumnPath.fromDotString(col)); + } + return prunePaths; + } + + private void nullifyColumn(ColumnDescriptor descriptor, + ColumnChunkMetaData chunk, + ColumnReadStoreImpl crStore, + ParquetFileWriter writer, + MessageType schema, + CompressionCodecName newCodecName, + EncryptorRunTime encryptorRunTime, + boolean encryptColumn) throws IOException { + // TODO: support encryption + if (encryptorRunTime != null) { + throw new RuntimeException("Nullifying and encrypting column is not implemented yet"); + } + long totalChunkValues = chunk.getValueCount(); + int dMax = descriptor.getMaxDefinitionLevel(); + ColumnReader cReader = crStore.getColumnReader(descriptor); + + ParquetProperties.WriterVersion writerVersion = chunk.getEncodingStats().usesV2Pages() ? + ParquetProperties.WriterVersion.PARQUET_2_0 : ParquetProperties.WriterVersion.PARQUET_1_0; + ParquetProperties props = ParquetProperties.builder() + .withWriterVersion(writerVersion) + .build(); + CodecFactory codecFactory = new CodecFactory(new Configuration(), props.getPageSizeThreshold()); + CodecFactory.BytesCompressor compressor = codecFactory.getCompressor(newCodecName); + + // Create new schema that only has the current column + MessageType newSchema = newSchema(schema, descriptor); + ColumnChunkPageWriteStore cPageStore = new ColumnChunkPageWriteStore( + compressor, newSchema, props.getAllocator(), props.getColumnIndexTruncateLength()); + ColumnWriteStore cStore = props.newColumnWriteStore(newSchema, cPageStore); + ColumnWriter cWriter = cStore.getColumnWriter(descriptor); + + for (int i = 0; i < totalChunkValues; i++) { + int rlvl = cReader.getCurrentRepetitionLevel(); + int dlvl = cReader.getCurrentDefinitionLevel(); + if (dlvl == dMax) { + // since we checked ether optional or repeated, dlvl should be > 0 + if (dlvl == 0) { + throw new IOException("definition level is detected to be 0 for column " + + chunk.getPath().toDotString() + " to be nullified"); + } + // we just write one null for the whole list at the top level, + // instead of nullify the elements in the list one by one + if (rlvl == 0) { + cWriter.writeNull(rlvl, dlvl - 1); + } + } else { + cWriter.writeNull(rlvl, dlvl); + } + cStore.endRecord(); + } + + cStore.flush(); + cPageStore.flushToFileWriter(writer); + + cStore.close(); + cWriter.close(); + } + + private MessageType newSchema(MessageType schema, ColumnDescriptor descriptor) { + String[] path = descriptor.getPath(); + Type type = schema.getType(path); + if (path.length == 1) { + return new MessageType(schema.getName(), type); + } + + for (Type field : schema.getFields()) { + if (!field.isPrimitive()) { + Type newType = extractField(field.asGroupType(), type); + if (newType != null) { + return new MessageType(schema.getName(), newType); + } + } + } + + // We should never hit this because 'type' is returned by schema.getType(). + throw new RuntimeException("No field is found"); + } + + private Type extractField(GroupType candidate, Type targetField) { + if (targetField.equals(candidate)) { + return targetField; + } + + // In case 'type' is a descendants of candidate + for (Type field : candidate.asGroupType().getFields()) { + if (field.isPrimitive()) { + if (field.equals(targetField)) { + return new GroupType(candidate.getRepetition(), candidate.getName(), targetField); + } + } else { + Type tempField = extractField(field.asGroupType(), targetField); + if (tempField != null) { + return tempField; + } + } + } + + return null; + } + + private static final class DummyGroupConverter extends GroupConverter { + @Override public void start() {} + @Override public void end() {} + @Override public Converter getConverter(int fieldIndex) { return new DummyConverter(); } + } + + private static final class DummyConverter extends PrimitiveConverter { + @Override public GroupConverter asGroupConverter() { return new DummyGroupConverter(); } + } + + private static class EncryptorRunTime { + private final InternalColumnEncryptionSetup colEncrSetup; + private final BlockCipher.Encryptor dataEncryptor; + private final BlockCipher.Encryptor metaDataEncryptor; + private final byte[] fileAAD ; + + private byte[] dataPageHeaderAAD; + private byte[] dataPageAAD; + private byte[] dictPageHeaderAAD; + private byte[] dictPageAAD; + + public EncryptorRunTime(InternalFileEncryptor fileEncryptor, + ColumnChunkMetaData chunk, + int blockId, + int columnId) throws IOException { + if (fileEncryptor == null) { Review Comment: This is a good question. The code was just moved from https://github.com/apache/parquet-mr/blob/1adc22804a700d78f8480667d083e91d6147339f/parquet-hadoop/src/main/java/org/apache/parquet/hadoop/util/ColumnEncryptor.java#L84. I think it should throw if the EncryptorRuntime is required but the fileEncryptor is null. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: dev-unsubscr...@parquet.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
