Github user nongli commented on a diff in the pull request:

    https://github.com/apache/spark/pull/9774#discussion_r45161743
  
    --- Diff: 
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/UnsafeRowParquetRecordReader.java
 ---
    @@ -0,0 +1,428 @@
    +/*
    + * 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.spark.sql.execution.datasources.parquet;
    +
    +import static org.apache.parquet.column.ValuesType.DEFINITION_LEVEL;
    +import static org.apache.parquet.column.ValuesType.REPETITION_LEVEL;
    +import static org.apache.parquet.column.ValuesType.VALUES;
    +
    +import org.apache.hadoop.mapreduce.InputSplit;
    +import org.apache.hadoop.mapreduce.TaskAttemptContext;
    +import org.apache.parquet.column.ColumnDescriptor;
    +import org.apache.parquet.column.Dictionary;
    +import org.apache.parquet.column.page.*;
    +import org.apache.parquet.column.Encoding;
    +import org.apache.parquet.column.values.ValuesReader;
    +import org.apache.parquet.io.api.Binary;
    +import org.apache.parquet.schema.Type;
    +import org.apache.spark.sql.catalyst.expressions.UnsafeRow;
    +import org.apache.spark.unsafe.Platform;
    +
    +import java.io.IOException;
    +import java.util.*;
    +
    +/**
    + * A specialized RecordReader that reads into UnsafeRows directly using 
the Parquet column APIs.
    + *
    + * TODO: handle complex types.
    + */
    +public class UnsafeRowParquetRecordReader extends 
SpecificParquetRecordReaderBase<UnsafeRow> {
    +  /**
    +   * Batch of unsafe rows that we assemble and the current index we've 
returned. Everytime this
    +   * batch is used up (batchIdx == numBatched), we populated the batch.
    +   */
    +  private UnsafeRow[] rows = new UnsafeRow[64];
    +  private int batchIdx = 0;
    +  private int numBatched = 0;
    +
    +  /**
    +   * For each request column, the reader to read this column.
    +   * columnsReaders[i] populated the UnsafeRow's attribute at i.
    +   */
    +  private ColumnReader[] columnReaders;
    +
    +  /**
    +   * The number of rows that have been returned.
    +   */
    +  private long rowsReturned;
    +
    +  /**
    +   * The number of rows that have been reading, including the current in 
flight row group.
    +   */
    +  private long totalCountLoadedSoFar = 0;
    +
    +  /**
    +   * Implementation of RecordReader API.
    +   */
    +  @Override
    +  public void initialize(InputSplit inputSplit, TaskAttemptContext 
taskAttemptContext)
    +      throws IOException, InterruptedException {
    +    super.initialize(inputSplit, taskAttemptContext);
    +
    +    int rowByteSize = 
UnsafeRow.calculateBitSetWidthInBytes(requestedSchema.getFieldCount());
    +    rowByteSize += 8 * requestedSchema.getFieldCount();
    +
    +    byte[] buffer = new byte[rowByteSize * rows.length];
    +    for (int i = 0; i < rows.length; ++i) {
    +      rows[i] = new UnsafeRow();
    +      rows[i].pointTo(buffer, Platform.BYTE_ARRAY_OFFSET + i * rowByteSize,
    +          requestedSchema.getFieldCount(), rowByteSize);
    +    }
    +
    +    /**
    +     * Check that the requested schema is supported.
    +     */
    +    for (Type t: requestedSchema.getFields()) {
    +      if (!t.isPrimitive()) throw new IOException("Unsupported schema");
    +    }
    +
    +    // TODO: this needs to handle the schema resolution rules
    +  }
    +
    +  @Override
    +  public boolean nextKeyValue() throws IOException, InterruptedException {
    +    if (batchIdx >= numBatched) {
    +      if (!loadBatch()) return false;
    +    }
    +    ++batchIdx;
    +    return true;
    +  }
    +
    +  @Override
    +  public UnsafeRow getCurrentValue() throws IOException, 
InterruptedException {
    +    return rows[batchIdx - 1];
    +  }
    +
    +  @Override
    +  public float getProgress() throws IOException, InterruptedException {
    +    return (float) rowsReturned / totalRowCount;
    +  }
    +
    +  /**
    +   * Decodes a batch of values into `rows`. This function is the hot path.
    +   */
    +  private boolean loadBatch() throws IOException {
    +    // no more records left
    +    if (rowsReturned >= totalRowCount) { return false; }
    +    checkEndOfRowGroup();
    +
    +    int num = (int)Math.min(rows.length, totalCountLoadedSoFar - 
rowsReturned);
    +    rowsReturned += num;
    +
    +    for (int i = 0; i < columnReaders.length; ++i) {
    +      switch (columnReaders[i].descriptor.getType()) {
    +        case BOOLEAN:
    +          decodeBooleanBatch(i, num);
    +          break;
    +        case INT32:
    +          decodeIntBatch(i, num);
    +          break;
    +        case INT64:
    +          decodeLongBatch(i, num);
    +          break;
    +        case FLOAT:
    +          decodeFloatBatch(i, num);
    +          break;
    +        case DOUBLE:
    +          decodeDoubleBatch(i, num);
    +          break;
    --- End diff --
    
    It handles NULLs. The batch decode reads the def levels.


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