Github user paul-rogers commented on a diff in the pull request:

    https://github.com/apache/drill/pull/846#discussion_r119223935
  
    --- Diff: 
exec/java-exec/src/main/java/org/apache/parquet/hadoop/ParquetColumnChunkPageWriteStore.java
 ---
    @@ -0,0 +1,269 @@
    +/*
    + * 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;
    +
    +import static 
org.apache.parquet.column.statistics.Statistics.getStatsBasedOnType;
    +
    +import java.io.Closeable;
    +import java.io.IOException;
    +import java.util.List;
    +import java.util.Map;
    +import java.util.Set;
    +
    +import com.google.common.collect.Lists;
    +import com.google.common.collect.Maps;
    +import com.google.common.collect.Sets;
    +import 
org.apache.drill.exec.store.parquet.ParquetDirectByteBufferAllocator;
    +import org.apache.parquet.bytes.BytesInput;
    +import org.apache.parquet.bytes.CapacityByteArrayOutputStream;
    +import org.apache.parquet.column.ColumnDescriptor;
    +import org.apache.parquet.column.Encoding;
    +import org.apache.parquet.column.page.DictionaryPage;
    +import org.apache.parquet.column.page.PageWriteStore;
    +import org.apache.parquet.column.page.PageWriter;
    +import org.apache.parquet.column.statistics.Statistics;
    +import org.apache.parquet.format.converter.ParquetMetadataConverter;
    +import org.apache.parquet.hadoop.CodecFactory.BytesCompressor;
    +import org.apache.parquet.io.ParquetEncodingException;
    +import org.apache.parquet.schema.MessageType;
    +import org.apache.parquet.bytes.ByteBufferAllocator;
    +import org.slf4j.Logger;
    +import org.slf4j.LoggerFactory;
    +
    +/**
    + * This is a copy of ColumnChunkPageWriteStore from parquet library except 
of OutputStream that is used here.
    + * Using of CapacityByteArrayOutputStream allows to use different 
ByteBuffer allocators.
    + * It will be no need in this class once PARQUET-1006 is resolved.
    + */
    +public class ParquetColumnChunkPageWriteStore implements PageWriteStore, 
Closeable {
    +  private static final org.slf4j.Logger logger = 
org.slf4j.LoggerFactory.getLogger(ParquetDirectByteBufferAllocator.class);
    +
    +  private static ParquetMetadataConverter parquetMetadataConverter = new 
ParquetMetadataConverter();
    +
    +  private final Map<ColumnDescriptor, ColumnChunkPageWriter> writers = 
Maps.newHashMap();
    +  private final MessageType schema;
    +
    +  public ParquetColumnChunkPageWriteStore(BytesCompressor compressor,
    +                                          MessageType schema,
    +                                          int initialSlabSize,
    +                                          int maxCapacityHint,
    +                                          ByteBufferAllocator allocator) {
    +    this.schema = schema;
    +    for (ColumnDescriptor path : schema.getColumns()) {
    +      writers.put(path,  new ColumnChunkPageWriter(path, compressor, 
initialSlabSize, maxCapacityHint, allocator));
    +    }
    +  }
    +
    +  @Override
    +  public PageWriter getPageWriter(ColumnDescriptor path) {
    +    return writers.get(path);
    +  }
    +
    +  public void flushToFileWriter(ParquetFileWriter writer) throws 
IOException {
    +    for (ColumnDescriptor path : schema.getColumns()) {
    +      ColumnChunkPageWriter pageWriter = writers.get(path);
    +      pageWriter.writeToFileWriter(writer);
    +    }
    +  }
    +
    +  @Override
    +  public void close() {
    +    for (ColumnChunkPageWriter pageWriter : writers.values()) {
    +      pageWriter.close();
    +    }
    +  }
    +
    +  private static final class ColumnChunkPageWriter implements PageWriter, 
Closeable {
    +
    +    private final ColumnDescriptor path;
    +    private final BytesCompressor compressor;
    +
    +    private final CapacityByteArrayOutputStream buf;
    +    private DictionaryPage dictionaryPage;
    +
    +    private long uncompressedLength;
    +    private long compressedLength;
    +    private long totalValueCount;
    +    private int pageCount;
    +
    +    // repetition and definition level encodings are used only for v1 
pages and don't change
    +    private Set<Encoding> rlEncodings = Sets.newHashSet();
    +    private Set<Encoding> dlEncodings = Sets.newHashSet();
    +    private List<Encoding> dataEncodings = Lists.newArrayList();
    +
    +    private Statistics totalStatistics;
    +
    +    private ColumnChunkPageWriter(ColumnDescriptor path,
    +                                  BytesCompressor compressor,
    +                                  int initialSlabSize,
    +                                  int maxCapacityHint,
    +                                  ByteBufferAllocator allocator) {
    +      this.path = path;
    +      this.compressor = compressor;
    +      this.buf = new CapacityByteArrayOutputStream(initialSlabSize, 
maxCapacityHint, allocator);
    +      this.totalStatistics = getStatsBasedOnType(this.path.getType());
    +    }
    +
    +    @Override
    +    public void writePage(BytesInput bytes,
    +                          int valueCount,
    +                          Statistics statistics,
    +                          Encoding rlEncoding,
    +                          Encoding dlEncoding,
    +                          Encoding valuesEncoding) throws IOException {
    +      long uncompressedSize = bytes.size();
    +      if (uncompressedSize > Integer.MAX_VALUE) {
    --- End diff --
    
    If the uncompressed size is anywhere near `Integer.MAX_VALUE` (2 GB), then 
we have a resource problem. Double that for the compressed version and we're 
talking about serious memory usage. And, this is per column.
    
    What is needed to ensure that each page (see [this 
diagram](https://parquet.apache.org/documentation/latest/)) is kept to a 
reasonable size? Does Drill already chose a reasonable size? Is it dependent on 
the (widely varying) input batch size?


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