/**
* 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.hadoop.hive.ql.io.orc;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedInputFormatInterface;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatchCtx;
import org.apache.hadoop.hive.ql.io.InputFormatChecker;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileSplit;
import org.apache.hadoop.mapred.InputSplit;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.RecordReader;
import org.apache.hadoop.mapred.Reporter;
/**
* A MapReduce/Hive input format for ORC files.
*/
public class VectorizedOrcInputFormat extends FileInputFormat<NullWritable, VectorizedRowBatch>
implements InputFormatChecker, VectorizedInputFormatInterface {
static class VectorizedOrcRecordReader
implements RecordReader<NullWritable, VectorizedRowBatch> {
private final org.apache.hadoop.hive.ql.io.orc.RecordReader reader;
private final long offset;
private final long length;
private float progress = 0.0f;
private VectorizedRowBatchCtx rbCtx;
private boolean addPartitionCols = true;
VectorizedOrcRecordReader(Reader file, Configuration conf,
FileSplit fileSplit) throws IOException {
List<OrcProto.Type> types = file.getTypes();
Reader.Options options = new Reader.Options();
this.offset = fileSplit.getStart();
this.length = fileSplit.getLength();
options.range(offset, length);
OrcInputFormat.setIncludedColumns(options, types, conf, true);
OrcInputFormat.setSearchArgument(options, types, conf, true);
this.reader = file.rowsOptions(options);
try {
rbCtx = new VectorizedRowBatchCtx();
rbCtx.init(conf, fileSplit);
} catch (Exception e) {
throw new RuntimeException(e);
}
}
@Override
public boolean next(NullWritable key, VectorizedRowBatch value) throws IOException {
if (!reader.hasNext()) {
return false;
}
try {
// Check and update partition cols if necessary. Ideally, this should be done
// in CreateValue as the partition is constant per split. But since Hive uses
// CombineHiveRecordReader and
// as this does not call CreateValue for each new RecordReader it creates, this check is
// required in next()
if (addPartitionCols) {
rbCtx.addPartitionColsToBatch(value);
addPartitionCols = false;
}
reader.nextBatch(value);
} catch (Exception e) {
throw new RuntimeException(e);
}
progress = reader.getProgress();
return true;
}
@Override
public NullWritable createKey() {
return NullWritable.get();
}
@Override
public VectorizedRowBatch createValue() {
try {
return rbCtx.createVectorizedRowBatch();
} catch (HiveException e) {
throw new RuntimeException("Error creating a batch", e);
}
}
@Override
public long getPos() throws IOException {
return offset + (long) (progress * length);
}
@Override
public void close() throws IOException {
reader.close();
}
@Override
public float getProgress() throws IOException {
return progress;
}
}
public VectorizedOrcInputFormat() {
// just set a really small lower bound
setMinSplitSize(16 * 1024);
}
@Override
public RecordReader<NullWritable, VectorizedRowBatch>
getRecordReader(InputSplit inputSplit, JobConf conf,
Reporter reporter) throws IOException {
FileSplit fSplit = (FileSplit)inputSplit;
reporter.setStatus(fSplit.toString());
Path path = fSplit.getPath();
OrcFile.ReaderOptions opts = OrcFile.readerOptions(conf);
if(fSplit instanceof OrcSplit){
OrcSplit orcSplit = (OrcSplit) fSplit;
if (orcSplit.hasFooter()) {
opts.fileMetaInfo(orcSplit.getFileMetaInfo());
}
}
Reader reader = OrcFile.createReader(path, opts);
return new VectorizedOrcRecordReader(reader, conf, fSplit);
}
@Override
public boolean validateInput(FileSystem fs, HiveConf conf,
ArrayList<FileStatus> files
) throws IOException {
if (files.size() <= 0) {
return false;
}
for (FileStatus file : files) {
try {
OrcFile.createReader(file.getPath(),
OrcFile.readerOptions(conf).filesystem(fs));
} catch (IOException e) {
return false;
}
}
return true;
}
}