/**
* 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.index;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Iterator;
import java.util.Set;
import java.util.Map;
import java.util.Arrays;
import java.util.HashMap;
import com.facebook.presto.hive.shaded.org.apache.commons.logging.Log;
import com.facebook.presto.hive.shaded.org.apache.commons.logging.LogFactory;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.conf.HiveConf.ConfVars;
import org.apache.hadoop.hive.ql.exec.Utilities;
import org.apache.hadoop.hive.ql.io.HiveFileFormatUtils;
import org.apache.hadoop.hive.ql.io.HiveInputFormat;
import org.apache.hadoop.hive.ql.io.IOPrepareCache;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.plan.PartitionDesc;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileSplit;
import org.apache.hadoop.mapred.InputFormat;
import org.apache.hadoop.mapred.InputSplit;
import org.apache.hadoop.mapred.JobConf;
/**
* Input format for doing queries that use indexes.
* Uses a blockfilter file to specify the blocks to query.
*/
public class HiveIndexedInputFormat extends HiveInputFormat {
public static final Log l4j = LogFactory.getLog("HiveIndexInputFormat");
private final String indexFile;
public HiveIndexedInputFormat() {
super();
indexFile = "hive.index.blockfilter.file";
}
public HiveIndexedInputFormat(String indexFileName) {
indexFile = indexFileName;
}
public InputSplit[] doGetSplits(JobConf job, int numSplits) throws IOException {
super.init(job);
Path[] dirs = FileInputFormat.getInputPaths(job);
if (dirs.length == 0) {
throw new IOException("No input paths specified in job");
}
JobConf newjob = new JobConf(job);
ArrayList<InputSplit> result = new ArrayList<InputSplit>();
// for each dir, get the InputFormat, and do getSplits.
PartitionDesc part;
for (Path dir : dirs) {
part = HiveFileFormatUtils
.getPartitionDescFromPathRecursively(pathToPartitionInfo, dir,
IOPrepareCache.get().allocatePartitionDescMap(), true);
// create a new InputFormat instance if this is the first time to see this
// class
Class inputFormatClass = part.getInputFileFormatClass();
InputFormat inputFormat = getInputFormatFromCache(inputFormatClass, job);
Utilities.copyTableJobPropertiesToConf(part.getTableDesc(), newjob);
FileInputFormat.setInputPaths(newjob, dir);
newjob.setInputFormat(inputFormat.getClass());
InputSplit[] iss = inputFormat.getSplits(newjob, numSplits / dirs.length);
for (InputSplit is : iss) {
result.add(new HiveInputSplit(is, inputFormatClass.getName()));
}
}
return result.toArray(new HiveInputSplit[result.size()]);
}
public static List<String> getIndexFiles(String indexFileStr) {
// tokenize and store string of form (path,)+
if (indexFileStr == null) {
return null;
}
String[] chunks = indexFileStr.split(",");
return Arrays.asList(chunks);
}
@Override
public InputSplit[] getSplits(JobConf job, int numSplits) throws IOException {
String indexFileStr = job.get(indexFile);
l4j.info("index_file is " + indexFileStr);
List<String> indexFiles = getIndexFiles(indexFileStr);
HiveIndexResult hiveIndexResult = null;
if (indexFiles != null) {
boolean first = true;
StringBuilder newInputPaths = new StringBuilder();
try {
hiveIndexResult = new HiveIndexResult(indexFiles, job);
} catch (HiveException e) {
l4j.error("Unable to read index..");
throw new IOException(e);
}
Set<String> inputFiles = hiveIndexResult.buckets.keySet();
if (inputFiles == null || inputFiles.size() <= 0) {
// return empty splits if index results were empty
return new InputSplit[0];
}
Iterator<String> iter = inputFiles.iterator();
while(iter.hasNext()) {
String path = iter.next();
if (path.trim().equalsIgnoreCase("")) {
continue;
}
if (!first) {
newInputPaths.append(",");
} else {
first = false;
}
newInputPaths.append(path);
}
FileInputFormat.setInputPaths(job, newInputPaths.toString());
} else {
return super.getSplits(job, numSplits);
}
HiveInputSplit[] splits = (HiveInputSplit[]) this.doGetSplits(job, numSplits);
ArrayList<HiveInputSplit> newSplits = new ArrayList<HiveInputSplit>(
numSplits);
long maxInputSize = HiveConf.getLongVar(job, ConfVars.HIVE_INDEX_COMPACT_QUERY_MAX_SIZE);
if (maxInputSize < 0) {
maxInputSize=Long.MAX_VALUE;
}
long sumSplitLengths = 0;
for (HiveInputSplit split : splits) {
l4j.info("split start : " + split.getStart());
l4j.info("split end : " + (split.getStart() + split.getLength()));
try {
if (hiveIndexResult.contains(split)) {
// we may miss a sync here
HiveInputSplit newSplit = split;
if (split.inputFormatClassName().contains("RCFile")
|| split.inputFormatClassName().contains("SequenceFile")) {
if (split.getStart() > SequenceFile.SYNC_INTERVAL) {
newSplit = new HiveInputSplit(new FileSplit(split.getPath(),
split.getStart() - SequenceFile.SYNC_INTERVAL,
split.getLength() + SequenceFile.SYNC_INTERVAL,
split.getLocations()),
split.inputFormatClassName());
}
}
sumSplitLengths += newSplit.getLength();
if (sumSplitLengths > maxInputSize) {
throw new IOException(
"Size of data to read during a compact-index-based query exceeded the maximum of "
+ maxInputSize + " set in " + ConfVars.HIVE_INDEX_COMPACT_QUERY_MAX_SIZE.varname);
}
newSplits.add(newSplit);
}
} catch (HiveException e) {
throw new RuntimeException(
"Unable to get metadata for input table split" + split.getPath());
}
}
InputSplit retA[] = newSplits.toArray((new FileSplit[newSplits.size()]));
l4j.info("Number of input splits: " + splits.length + " new input splits: "
+ retA.length + ", sum of split lengths: " + sumSplitLengths);
return retA;
}
}