rdblue commented on a change in pull request #710: Parquet changes for vectorized reads URL: https://github.com/apache/incubator-iceberg/pull/710#discussion_r361762218
########## File path: parquet/src/main/java/org/apache/iceberg/parquet/ReadConf.java ########## @@ -0,0 +1,204 @@ +/* + * 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.iceberg.parquet; + +import com.google.common.collect.ImmutableList; +import com.google.common.collect.ImmutableMap; +import java.io.IOException; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.function.Function; +import java.util.stream.Collectors; +import javax.annotation.Nullable; +import org.apache.iceberg.Schema; +import org.apache.iceberg.exceptions.RuntimeIOException; +import org.apache.iceberg.expressions.Expression; +import org.apache.iceberg.io.InputFile; +import org.apache.parquet.ParquetReadOptions; +import org.apache.parquet.hadoop.ParquetFileReader; +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.schema.MessageType; + +/** + * Configuration for Parquet readers. + * + * @param <T> type of value to read + */ +class ReadConf<T> { + private final ParquetFileReader reader; + private final InputFile file; + private final ParquetReadOptions options; + private final MessageType projection; + @Nullable + private final ParquetValueReader<T> model; + @Nullable + private final VectorizedReader<T> vectorizedModel; + private final List<BlockMetaData> rowGroups; + private final boolean[] shouldSkip; + private final long totalValues; + private final boolean reuseContainers; + @Nullable + private final Integer batchSize; + + // List of column chunk metadata for each row group + private final List<Map<ColumnPath, ColumnChunkMetaData>> columnChunkMetaDataForRowGroups; + + @SuppressWarnings("unchecked") + ReadConf(InputFile file, ParquetReadOptions options, Schema expectedSchema, Expression filter, + Function<MessageType, ParquetValueReader<?>> readerFunc, Function<MessageType, + VectorizedReader<?>> batchedReaderFunc, boolean reuseContainers, + boolean caseSensitive, Integer bSize) { + this.file = file; + this.options = options; + this.reader = newReader(file, options); + MessageType fileSchema = reader.getFileMetaData().getSchema(); + + boolean hasIds = ParquetSchemaUtil.hasIds(fileSchema); + MessageType typeWithIds = hasIds ? fileSchema : ParquetSchemaUtil.addFallbackIds(fileSchema); + + this.projection = hasIds ? + ParquetSchemaUtil.pruneColumns(fileSchema, expectedSchema) : + ParquetSchemaUtil.pruneColumnsFallback(fileSchema, expectedSchema); + this.rowGroups = reader.getRowGroups(); + this.shouldSkip = new boolean[rowGroups.size()]; + + ParquetMetricsRowGroupFilter statsFilter = null; + ParquetDictionaryRowGroupFilter dictFilter = null; + if (filter != null) { + statsFilter = new ParquetMetricsRowGroupFilter(expectedSchema, filter, caseSensitive); + dictFilter = new ParquetDictionaryRowGroupFilter(expectedSchema, filter, caseSensitive); + } + + long computedTotalValues = 0L; + for (int i = 0; i < shouldSkip.length; i += 1) { + BlockMetaData rowGroup = rowGroups.get(i); + boolean shouldRead = filter == null || ( + statsFilter.shouldRead(typeWithIds, rowGroup) && + dictFilter.shouldRead(typeWithIds, rowGroup, reader.getDictionaryReader(rowGroup))); + this.shouldSkip[i] = !shouldRead; + if (shouldRead) { + computedTotalValues += rowGroup.getRowCount(); + } + } + + this.totalValues = computedTotalValues; + if (readerFunc != null) { + this.model = (ParquetValueReader<T>) readerFunc.apply(typeWithIds); + this.vectorizedModel = null; + this.columnChunkMetaDataForRowGroups = null; + } else { + this.model = null; + this.vectorizedModel = (VectorizedReader<T>) batchedReaderFunc.apply(typeWithIds); + this.columnChunkMetaDataForRowGroups = getColumnChunkMetadataForRowGroups(); + } + + this.reuseContainers = reuseContainers; + this.batchSize = bSize; + } + + private ReadConf(ReadConf<T> toCopy) { + this.reader = null; + this.file = toCopy.file; + this.options = toCopy.options; + this.projection = toCopy.projection; + this.model = toCopy.model; + this.rowGroups = toCopy.rowGroups; + this.shouldSkip = toCopy.shouldSkip; + this.totalValues = toCopy.totalValues; + this.reuseContainers = toCopy.reuseContainers; + this.batchSize = toCopy.batchSize; + this.vectorizedModel = toCopy.vectorizedModel; + this.columnChunkMetaDataForRowGroups = toCopy.columnChunkMetaDataForRowGroups; + } + + ParquetFileReader reader() { + if (reader != null) { + reader.setRequestedSchema(projection); + return reader; + } + + ParquetFileReader newReader = newReader(file, options); + newReader.setRequestedSchema(projection); + return newReader; + } + + ParquetValueReader<T> model() { + return model; + } + + VectorizedReader<T> vectorizedModel() { + return vectorizedModel; + } + + boolean[] shouldSkip() { + return shouldSkip; + } + + long totalValues() { + return totalValues; + } + + boolean reuseContainers() { + return reuseContainers; + } + + Integer batchSize() { + return batchSize; + } + + List<Map<ColumnPath, ColumnChunkMetaData>> columnChunkMetadataForRowGroups() { + return columnChunkMetaDataForRowGroups; + } + + ReadConf<T> copy() { + return new ReadConf<>(this); + } + + private static ParquetFileReader newReader(InputFile file, ParquetReadOptions options) { + try { + return ParquetFileReader.open(ParquetIO.file(file), options); + } catch (IOException e) { + throw new RuntimeIOException(e, "Failed to open Parquet file: %s", file.location()); + } + } + + private List<Map<ColumnPath, ColumnChunkMetaData>> getColumnChunkMetadataForRowGroups() { + Set<ColumnPath> projectedColumns = projection.getColumns().stream() + .map(columnDescriptor -> ColumnPath.get(columnDescriptor.getPath())).collect(Collectors.toSet()); + ImmutableList.Builder builder = ImmutableList.<Map<ColumnPath, ColumnChunkMetaData>>builder(); Review comment: Shouldn't the `Builder` have type parameters instead of the `builder()` call? 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