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From dongjoon-hyun <...@git.apache.org>
Subject [GitHub] spark pull request #19943: [SPARK-16060][SQL] Support Vectorized ORC Reader
Date Mon, 08 Jan 2018 05:41:40 GMT
Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19943#discussion_r160077793
  
    --- Diff: sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/JavaOrcColumnarBatchReader.java
---
    @@ -0,0 +1,503 @@
    +/*
    + * 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.orc;
    +
    +import java.io.IOException;
    +
    +import org.apache.hadoop.conf.Configuration;
    +import org.apache.hadoop.mapreduce.InputSplit;
    +import org.apache.hadoop.mapreduce.RecordReader;
    +import org.apache.hadoop.mapreduce.TaskAttemptContext;
    +import org.apache.hadoop.mapreduce.lib.input.FileSplit;
    +import org.apache.orc.OrcConf;
    +import org.apache.orc.OrcFile;
    +import org.apache.orc.Reader;
    +import org.apache.orc.TypeDescription;
    +import org.apache.orc.mapred.OrcInputFormat;
    +import org.apache.orc.storage.common.type.HiveDecimal;
    +import org.apache.orc.storage.ql.exec.vector.*;
    +import org.apache.orc.storage.serde2.io.HiveDecimalWritable;
    +
    +import org.apache.spark.memory.MemoryMode;
    +import org.apache.spark.sql.catalyst.InternalRow;
    +import org.apache.spark.sql.execution.vectorized.ColumnVectorUtils;
    +import org.apache.spark.sql.execution.vectorized.OffHeapColumnVector;
    +import org.apache.spark.sql.execution.vectorized.OnHeapColumnVector;
    +import org.apache.spark.sql.execution.vectorized.WritableColumnVector;
    +import org.apache.spark.sql.types.*;
    +import org.apache.spark.sql.vectorized.ColumnarBatch;
    +
    +
    +/**
    + * To support vectorization in WholeStageCodeGen, this reader returns ColumnarBatch.
    + * After creating, `initialize` and `setRequiredSchema` should be called sequentially.
    + */
    +public class JavaOrcColumnarBatchReader extends RecordReader<Void, ColumnarBatch>
{
    +
    +  /**
    +   * ORC File Reader.
    --- End diff --
    
    Yep.


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