| /* |
| * 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.sysds.runtime.io; |
| |
| import java.io.IOException; |
| import java.util.ArrayList; |
| import java.util.List; |
| import java.util.concurrent.Callable; |
| import java.util.concurrent.ExecutorService; |
| import java.util.concurrent.Future; |
| |
| import org.apache.hadoop.fs.FileSystem; |
| import org.apache.hadoop.fs.Path; |
| import org.apache.hadoop.io.LongWritable; |
| import org.apache.hadoop.io.Text; |
| import org.apache.hadoop.mapred.InputSplit; |
| import org.apache.hadoop.mapred.JobConf; |
| import org.apache.hadoop.mapred.RecordReader; |
| import org.apache.hadoop.mapred.Reporter; |
| import org.apache.hadoop.mapred.TextInputFormat; |
| import org.apache.sysds.common.Types.ValueType; |
| import org.apache.sysds.hops.OptimizerUtils; |
| import org.apache.sysds.runtime.matrix.data.FrameBlock; |
| import org.apache.sysds.runtime.matrix.data.Pair; |
| import org.apache.sysds.runtime.transform.TfUtils; |
| import org.apache.sysds.runtime.util.CommonThreadPool; |
| |
| /** |
| * Multi-threaded frame text csv reader. |
| * |
| */ |
| public class FrameReaderTextCSVParallel extends FrameReaderTextCSV |
| { |
| public FrameReaderTextCSVParallel(FileFormatPropertiesCSV props) { |
| super(props); |
| } |
| |
| @Override |
| protected void readCSVFrameFromHDFS( Path path, JobConf job, FileSystem fs, |
| FrameBlock dest, ValueType[] schema, String[] names, long rlen, long clen) |
| throws IOException |
| { |
| int numThreads = OptimizerUtils.getParallelTextReadParallelism(); |
| |
| TextInputFormat informat = new TextInputFormat(); |
| informat.configure(job); |
| InputSplit[] splits = informat.getSplits(job, numThreads); |
| splits = IOUtilFunctions.sortInputSplits(splits); |
| |
| try |
| { |
| ExecutorService pool = CommonThreadPool.get( |
| Math.min(numThreads, splits.length)); |
| |
| //compute num rows per split |
| ArrayList<CountRowsTask> tasks = new ArrayList<>(); |
| for( int i=0; i<splits.length; i++ ) |
| tasks.add(new CountRowsTask(splits[i], informat, job, _props.hasHeader(), i==0)); |
| List<Future<Long>> cret = pool.invokeAll(tasks); |
| |
| //compute row offset per split via cumsum on row counts |
| long offset = 0; |
| List<Long> offsets = new ArrayList<>(); |
| for( Future<Long> count : cret ) { |
| offsets.add(offset); |
| offset += count.get(); |
| } |
| |
| //read individual splits |
| ArrayList<ReadRowsTask> tasks2 = new ArrayList<>(); |
| for( int i=0; i<splits.length; i++ ) |
| tasks2.add( new ReadRowsTask(splits[i], informat, job, dest, offsets.get(i).intValue(), i==0)); |
| CommonThreadPool.invokeAndShutdown(pool, tasks2); |
| } |
| catch (Exception e) { |
| throw new IOException("Failed parallel read of text csv input.", e); |
| } |
| } |
| |
| @Override |
| protected Pair<Integer,Integer> computeCSVSize( Path path, JobConf job, FileSystem fs) |
| throws IOException |
| { |
| int numThreads = OptimizerUtils.getParallelTextReadParallelism(); |
| |
| TextInputFormat informat = new TextInputFormat(); |
| informat.configure(job); |
| InputSplit[] splits = informat.getSplits(job, numThreads); |
| |
| //compute number of columns |
| int ncol = IOUtilFunctions.countNumColumnsCSV(splits, informat, job, _props.getDelim()); |
| |
| //compute number of rows |
| int nrow = 0; |
| ExecutorService pool = CommonThreadPool.get(numThreads); |
| try { |
| ArrayList<CountRowsTask> tasks = new ArrayList<>(); |
| for( int i=0; i<splits.length; i++ ) |
| tasks.add(new CountRowsTask(splits[i], informat, job, _props.hasHeader(), i==0)); |
| List<Future<Long>> cret = pool.invokeAll(tasks); |
| for( Future<Long> count : cret ) |
| nrow += count.get().intValue(); |
| } |
| catch (Exception e) { |
| throw new IOException("Failed parallel read of text csv input.", e); |
| } |
| finally { |
| pool.shutdown(); |
| } |
| return new Pair<>(nrow, ncol); |
| } |
| |
| private static class CountRowsTask implements Callable<Long> |
| { |
| private InputSplit _split = null; |
| private TextInputFormat _informat = null; |
| private JobConf _job = null; |
| private boolean _hasHeader = false; |
| private boolean _firstSplit = false; |
| |
| public CountRowsTask(InputSplit split, TextInputFormat informat, JobConf job, boolean hasHeader, boolean first) { |
| _split = split; |
| _informat = informat; |
| _job = job; |
| _hasHeader = hasHeader; |
| _firstSplit = first; |
| } |
| |
| @Override |
| public Long call() |
| throws Exception |
| { |
| RecordReader<LongWritable, Text> reader = _informat.getRecordReader(_split, _job, Reporter.NULL); |
| LongWritable key = new LongWritable(); |
| Text value = new Text(); |
| long nrows = 0; |
| |
| // count rows from the first non-header row |
| try { |
| if ( _firstSplit && _hasHeader ) |
| reader.next(key, value); |
| while ( reader.next(key, value) ) { |
| String val = value.toString(); |
| nrows += ( val.startsWith(TfUtils.TXMTD_MVPREFIX) |
| || val.startsWith(TfUtils.TXMTD_NDPREFIX)) ? 0 : 1; |
| } |
| } |
| finally { |
| IOUtilFunctions.closeSilently(reader); |
| } |
| |
| return nrows; |
| } |
| } |
| |
| private class ReadRowsTask implements Callable<Object> |
| { |
| private InputSplit _split = null; |
| private TextInputFormat _informat = null; |
| private JobConf _job = null; |
| private FrameBlock _dest = null; |
| private int _offset = -1; |
| private boolean _isFirstSplit = false; |
| |
| |
| public ReadRowsTask(InputSplit split, TextInputFormat informat, JobConf job, |
| FrameBlock dest, int offset, boolean first) |
| { |
| _split = split; |
| _informat = informat; |
| _job = job; |
| _dest = dest; |
| _offset = offset; |
| _isFirstSplit = first; |
| } |
| |
| @Override |
| public Object call() |
| throws Exception |
| { |
| readCSVFrameFromInputSplit(_split, _informat, _job, _dest, _dest.getSchema(), |
| _dest.getColumnNames(), _dest.getNumRows(), _dest.getNumColumns(), _offset, _isFirstSplit); |
| return null; |
| } |
| } |
| } |