Github user chenghao-intel commented on a diff in the pull request: https://github.com/apache/spark/pull/9097#discussion_r42200523 --- Diff: sql/hive/src/main/java/org/apache/spark/sql/hive/mapred/CombineSplitRecordReader.java --- @@ -0,0 +1,128 @@ +/* + * 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.hive.mapred; + +import java.io.IOException; + +import org.apache.hadoop.classification.InterfaceAudience; +import org.apache.hadoop.classification.InterfaceStability; +import org.apache.hadoop.fs.FileSystem; +import org.apache.hadoop.mapred.InputFormat; +import org.apache.hadoop.mapred.JobConf; +import org.apache.hadoop.mapred.RecordReader; +import org.apache.hadoop.mapred.Reporter; + +/** + * A generic RecordReader that can hand out different recordReaders + * for each split in a {@link org.apache.spark.sql.hive.mapred.CombineSplit}. + */ +@InterfaceAudience.Public +@InterfaceStability.Stable +public class CombineSplitRecordReader<K, V> implements RecordReader<K, V> { + protected CombineSplit split; + protected JobConf jc; + protected FileSystem fs; + + protected int idx; + protected long progress; + protected RecordReader<K, V> curReader; + + @Override + public boolean next(K key, V value) throws IOException { + while ((curReader == null) || !curReader.next(key, value)) { + if (!initNextRecordReader()) { + return false; + } + } + return true; + } + + public K createKey() { + return curReader.createKey(); + } + + public V createValue() { + return curReader.createValue(); + } + + /** + * return the amount of data processed + */ + public long getPos() throws IOException { + return progress; + } + + public void close() throws IOException { + if (curReader != null) { + curReader.close(); + curReader = null; + } + } + + /** + * return progress based on the amount of data processed so far. + */ + public float getProgress() throws IOException { + return Math.min(1.0f, progress/(float)(split.getLength())); --- End diff -- Since the progress granularity is split length, can we simply use the idx / split.getSplitNum()?
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