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/*
* 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;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import io.prestosql.hive.$internal.com.google.common.annotations.VisibleForTesting;
import org.apache.hadoop.hive.common.StringInternUtils;
import io.prestosql.hive.$internal.org.slf4j.Logger;
import io.prestosql.hive.$internal.org.slf4j.LoggerFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.PathFilter;
import org.apache.hadoop.hive.ql.Driver.LockedDriverState;
import org.apache.hadoop.hive.ql.exec.Operator;
import org.apache.hadoop.hive.ql.exec.Utilities;
import org.apache.hadoop.hive.ql.log.PerfLogger;
import org.apache.hadoop.hive.ql.parse.SplitSample;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.hive.ql.plan.PartitionDesc;
import org.apache.hadoop.hive.ql.plan.TableDesc;
import org.apache.hadoop.hive.ql.session.SessionState;
import org.apache.hadoop.hive.shims.HadoopShims.CombineFileInputFormatShim;
import org.apache.hadoop.hive.shims.HadoopShimsSecure.InputSplitShim;
import org.apache.hadoop.hive.shims.ShimLoader;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.InputFormat;
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.lib.CombineFileSplit;
/**
* CombineHiveInputFormat is a parameterized InputFormat which looks at the path
* name and determine the correct InputFormat for that path name from
* mapredPlan.pathToPartitionInfo(). It can be used to read files with different
* input format in the same map-reduce job.
*/
public class CombineHiveInputFormat
extends HiveInputFormat {
private static final String CLASS_NAME = CombineHiveInputFormat.class.getName();
public static final Logger LOG = LoggerFactory.getLogger(CLASS_NAME);
// max number of threads we can use to check non-combinable paths
private static final int MAX_CHECK_NONCOMBINABLE_THREAD_NUM = 50;
private static final int DEFAULT_NUM_PATH_PER_THREAD = 100;
private class CheckNonCombinablePathCallable implements Callable> {
private final Path[] paths;
private final int start;
private final int length;
private final JobConf conf;
private final boolean isMerge;
public CheckNonCombinablePathCallable(
Path[] paths, int start, int length, JobConf conf, boolean isMerge) {
this.paths = paths;
this.start = start;
this.length = length;
this.conf = conf;
this.isMerge = isMerge;
}
@Override
public Set call() throws Exception {
Set nonCombinablePathIndices = new HashSet();
for (int i = 0; i < length; i++) {
PartitionDesc part = HiveFileFormatUtils.getFromPathRecursively(
pathToPartitionInfo, paths[i + start],
IOPrepareCache.get().allocatePartitionDescMap());
// Use HiveInputFormat if any of the paths is not splittable
Class inputFormatClass = part.getInputFileFormatClass();
InputFormat inputFormat =
getInputFormatFromCache(inputFormatClass, conf);
boolean isAvoidSplitCombine = inputFormat instanceof AvoidSplitCombination &&
((AvoidSplitCombination) inputFormat).shouldSkipCombine(paths[i + start], conf);
TableDesc tbl = part.getTableDesc();
boolean isMmNonMerge = false;
if (tbl != null) {
isMmNonMerge = !isMerge && AcidUtils.isInsertOnlyTable(tbl.getProperties());
} else {
// This would be the case for obscure tasks like truncate column (unsupported for MM).
Utilities.FILE_OP_LOGGER.warn("Assuming not insert-only; no table in partition spec " + part);
}
if (isAvoidSplitCombine || isMmNonMerge) {
Utilities.FILE_OP_LOGGER.info("The path [" + paths[i + start] +
"] is being parked for HiveInputFormat.getSplits");
nonCombinablePathIndices.add(i + start);
}
}
return nonCombinablePathIndices;
}
}
/**
* CombineHiveInputSplit encapsulates an InputSplit with its corresponding
* inputFormatClassName. A CombineHiveInputSplit comprises of multiple chunks
* from different files. Since, they belong to a single directory, there is a
* single inputformat for all the chunks.
*/
public static class CombineHiveInputSplit extends InputSplitShim {
private String inputFormatClassName;
private CombineFileSplit inputSplitShim;
private Map pathToPartitionInfo;
public CombineHiveInputSplit() throws IOException {
this(ShimLoader.getHadoopShims().getCombineFileInputFormat()
.getInputSplitShim());
}
public CombineHiveInputSplit(CombineFileSplit inputSplitShim) throws IOException {
this(inputSplitShim.getJob(), inputSplitShim);
}
public CombineHiveInputSplit(JobConf job, CombineFileSplit inputSplitShim)
throws IOException {
this(job, inputSplitShim, null);
}
public CombineHiveInputSplit(JobConf job, CombineFileSplit inputSplitShim,
Map pathToPartitionInfo) throws IOException {
this.inputSplitShim = inputSplitShim;
this.pathToPartitionInfo = pathToPartitionInfo;
if (job != null) {
if (this.pathToPartitionInfo == null) {
this.pathToPartitionInfo = Utilities.getMapWork(job).getPathToPartitionInfo();
}
// extract all the inputFormatClass names for each chunk in the
// CombinedSplit.
Path[] ipaths = inputSplitShim.getPaths();
if (ipaths.length > 0) {
PartitionDesc part = HiveFileFormatUtils
.getFromPathRecursively(this.pathToPartitionInfo,
ipaths[0], IOPrepareCache.get().getPartitionDescMap());
inputFormatClassName = part.getInputFileFormatClass().getName();
}
}
}
public CombineFileSplit getInputSplitShim() {
return inputSplitShim;
}
/**
* Returns the inputFormat class name for the i-th chunk.
*/
public String inputFormatClassName() {
return inputFormatClassName;
}
public void setInputFormatClassName(String inputFormatClassName) {
this.inputFormatClassName = inputFormatClassName;
}
@Override
public JobConf getJob() {
return inputSplitShim.getJob();
}
@Override
public long getLength() {
return inputSplitShim.getLength();
}
/** Returns an array containing the startoffsets of the files in the split. */
@Override
public long[] getStartOffsets() {
return inputSplitShim.getStartOffsets();
}
/** Returns an array containing the lengths of the files in the split. */
@Override
public long[] getLengths() {
return inputSplitShim.getLengths();
}
/** Returns the start offset of the ith Path. */
@Override
public long getOffset(int i) {
return inputSplitShim.getOffset(i);
}
/** Returns the length of the ith Path. */
@Override
public long getLength(int i) {
return inputSplitShim.getLength(i);
}
/** Returns the number of Paths in the split. */
@Override
public int getNumPaths() {
return inputSplitShim.getNumPaths();
}
/** Returns the ith Path. */
@Override
public Path getPath(int i) {
return inputSplitShim.getPath(i);
}
/** Returns all the Paths in the split. */
@Override
public Path[] getPaths() {
return inputSplitShim.getPaths();
}
/** Returns all the Paths where this input-split resides. */
@Override
public String[] getLocations() throws IOException {
return inputSplitShim.getLocations();
}
/**
* Prints this obejct as a string.
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append(inputSplitShim.toString());
sb.append("InputFormatClass: " + inputFormatClassName);
sb.append("\n");
return sb.toString();
}
/**
* Writable interface.
*/
@Override
public void readFields(DataInput in) throws IOException {
inputSplitShim.readFields(in);
inputFormatClassName = in.readUTF();
}
/**
* Writable interface.
*/
@Override
public void write(DataOutput out) throws IOException {
inputSplitShim.write(out);
if (inputFormatClassName == null) {
if (pathToPartitionInfo == null) {
pathToPartitionInfo = Utilities.getMapWork(getJob()).getPathToPartitionInfo();
}
// extract all the inputFormatClass names for each chunk in the
// CombinedSplit.
PartitionDesc part = HiveFileFormatUtils.getFromPathRecursively(pathToPartitionInfo,
inputSplitShim.getPath(0), IOPrepareCache.get().getPartitionDescMap());
// create a new InputFormat instance if this is the first time to see
// this class
inputFormatClassName = part.getInputFileFormatClass().getName();
}
out.writeUTF(inputFormatClassName);
}
}
// Splits are not shared across different partitions with different input formats.
// For example, 2 partitions (1 sequencefile and 1 rcfile) will have 2 different splits
private static class CombinePathInputFormat {
private final List> opList;
private final String inputFormatClassName;
private final String deserializerClassName;
public CombinePathInputFormat(List> opList,
String inputFormatClassName,
String deserializerClassName) {
this.opList = opList;
this.inputFormatClassName = inputFormatClassName;
this.deserializerClassName = deserializerClassName;
}
@Override
public boolean equals(Object o) {
if (o instanceof CombinePathInputFormat) {
CombinePathInputFormat mObj = (CombinePathInputFormat) o;
return (opList.equals(mObj.opList)) &&
(inputFormatClassName.equals(mObj.inputFormatClassName)) &&
(deserializerClassName == null ? (mObj.deserializerClassName == null) :
deserializerClassName.equals(mObj.deserializerClassName));
}
return false;
}
@Override
public int hashCode() {
return (opList == null) ? 0 : opList.hashCode();
}
}
/**
* Create Hive splits based on CombineFileSplit.
*/
private InputSplit[] getCombineSplits(JobConf job, int numSplits,
Map pathToPartitionInfo)
throws IOException {
init(job);
Map> pathToAliases = mrwork.getPathToAliases();
Map> aliasToWork =
mrwork.getAliasToWork();
CombineFileInputFormatShim combine = ShimLoader.getHadoopShims()
.getCombineFileInputFormat();
InputSplit[] splits = null;
if (combine == null) {
splits = super.getSplits(job, numSplits);
return splits;
}
if (combine.getInputPathsShim(job).length == 0) {
throw new IOException("No input paths specified in job");
}
ArrayList result = new ArrayList();
// combine splits only from same tables and same partitions. Do not combine splits from multiple
// tables or multiple partitions.
Path[] paths = StringInternUtils.internUriStringsInPathArray(combine.getInputPathsShim(job));
List inpDirs = new ArrayList();
List inpFiles = new ArrayList();
Map poolMap =
new HashMap();
Set poolSet = new HashSet();
LockedDriverState lDrvStat = LockedDriverState.getLockedDriverState();
for (Path path : paths) {
if (lDrvStat != null && lDrvStat.isAborted()) {
throw new IOException("Operation is Canceled. ");
}
PartitionDesc part = HiveFileFormatUtils.getFromPathRecursively(
pathToPartitionInfo, path, IOPrepareCache.get().allocatePartitionDescMap());
TableDesc tableDesc = part.getTableDesc();
if ((tableDesc != null) && tableDesc.isNonNative()) {
return super.getSplits(job, numSplits);
}
// Use HiveInputFormat if any of the paths is not splittable
Class inputFormatClass = part.getInputFileFormatClass();
String inputFormatClassName = inputFormatClass.getName();
InputFormat inputFormat = getInputFormatFromCache(inputFormatClass, job);
String deserializerClassName = null;
try {
deserializerClassName = part.getDeserializer(job).getClass().getName();
} catch (Exception e) {
// ignore
}
FileSystem inpFs = path.getFileSystem(job);
//don't combine if inputformat is a SymlinkTextInputFormat
if (inputFormat instanceof SymlinkTextInputFormat) {
splits = super.getSplits(job, numSplits);
return splits;
}
Path filterPath = path;
// Does a pool exist for this path already
CombineFilter f = null;
List> opList = null;
if (!mrwork.isMapperCannotSpanPartns()) {
//if mapper can span partitions, make sure a splits does not contain multiple
// opList + inputFormatClassName + deserializerClassName combination
// This is done using the Map of CombinePathInputFormat to PathFilter
opList = HiveFileFormatUtils.doGetWorksFromPath(
pathToAliases, aliasToWork, filterPath);
CombinePathInputFormat combinePathInputFormat =
new CombinePathInputFormat(opList, inputFormatClassName, deserializerClassName);
f = poolMap.get(combinePathInputFormat);
if (f == null) {
f = new CombineFilter(filterPath);
LOG.info("CombineHiveInputSplit creating pool for " + path +
"; using filter path " + filterPath);
combine.createPool(job, f);
poolMap.put(combinePathInputFormat, f);
} else {
LOG.debug("CombineHiveInputSplit: pool is already created for " + path +
"; using filter path " + filterPath);
f.addPath(filterPath);
}
} else {
// In the case of tablesample, the input paths are pointing to files rather than directories.
// We need to get the parent directory as the filtering path so that all files in the same
// parent directory will be grouped into one pool but not files from different parent
// directories. This guarantees that a split will combine all files in the same partition
// but won't cross multiple partitions if the user has asked so.
if (!path.getFileSystem(job).getFileStatus(path).isDir()) { // path is not directory
filterPath = path.getParent();
inpFiles.add(path);
poolSet.add(filterPath);
} else {
inpDirs.add(path);
}
}
}
// Processing directories
List iss = new ArrayList();
if (!mrwork.isMapperCannotSpanPartns()) {
//mapper can span partitions
//combine into as few as one split, subject to the PathFilters set
// using combine.createPool.
iss = Arrays.asList(combine.getSplits(job, 1));
} else {
for (Path path : inpDirs) {
processPaths(job, combine, iss, path);
}
if (inpFiles.size() > 0) {
// Processing files
for (Path filterPath : poolSet) {
combine.createPool(job, new CombineFilter(filterPath));
}
processPaths(job, combine, iss, inpFiles.toArray(new Path[0]));
}
}
if (mrwork.getNameToSplitSample() != null && !mrwork.getNameToSplitSample().isEmpty()) {
iss = sampleSplits(iss);
}
for (CombineFileSplit is : iss) {
CombineHiveInputSplit csplit = new CombineHiveInputSplit(job, is, pathToPartitionInfo);
result.add(csplit);
}
LOG.info("number of splits " + result.size());
return result.toArray(new InputSplit[result.size()]);
}
/**
* Gets all the path indices that should not be combined
*/
@VisibleForTesting
public Set getNonCombinablePathIndices(JobConf job, Path[] paths, int numThreads)
throws ExecutionException, InterruptedException {
LOG.info("Total number of paths: " + paths.length +
", launching " + numThreads + " threads to check non-combinable ones.");
int numPathPerThread = (int) Math.ceil((double) paths.length / numThreads);
ExecutorService executor = Executors.newFixedThreadPool(numThreads);
List>> futureList = new ArrayList>>(numThreads);
try {
boolean isMerge = mrwork != null && mrwork.isMergeFromResolver();
for (int i = 0; i < numThreads; i++) {
int start = i * numPathPerThread;
int length = i != numThreads - 1 ? numPathPerThread : paths.length - start;
futureList.add(executor.submit(new CheckNonCombinablePathCallable(
paths, start, length, job, isMerge)));
}
Set nonCombinablePathIndices = new HashSet();
for (Future> future : futureList) {
nonCombinablePathIndices.addAll(future.get());
}
return nonCombinablePathIndices;
} finally {
executor.shutdownNow();
}
}
/**
* Create Hive splits based on CombineFileSplit.
*/
@Override
public InputSplit[] getSplits(JobConf job, int numSplits) throws IOException {
PerfLogger perfLogger = SessionState.getPerfLogger();
perfLogger.PerfLogBegin(CLASS_NAME, PerfLogger.GET_SPLITS);
init(job);
ArrayList result = new ArrayList();
Path[] paths = getInputPaths(job);
List nonCombinablePaths = new ArrayList(paths.length / 2);
List combinablePaths = new ArrayList(paths.length / 2);
int numThreads = Math.min(MAX_CHECK_NONCOMBINABLE_THREAD_NUM,
(int) Math.ceil((double) paths.length / DEFAULT_NUM_PATH_PER_THREAD));
// This check is necessary because for Spark branch, the result array from
// getInputPaths() above could be empty, and therefore numThreads could be 0.
// In that case, Executors.newFixedThreadPool will fail.
if (numThreads > 0) {
try {
Set nonCombinablePathIndices = getNonCombinablePathIndices(job, paths, numThreads);
for (int i = 0; i < paths.length; i++) {
if (nonCombinablePathIndices.contains(i)) {
nonCombinablePaths.add(paths[i]);
} else {
combinablePaths.add(paths[i]);
}
}
} catch (Exception e) {
LOG.error("Error checking non-combinable path", e);
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.GET_SPLITS);
throw new IOException(e);
}
}
// Store the previous value for the path specification
String oldPaths = job.get(org.apache.hadoop.mapreduce.lib.input.FileInputFormat.INPUT_DIR);
if (LOG.isDebugEnabled()) {
LOG.debug("The received input paths are: [" + oldPaths +
"] against the property "
+ org.apache.hadoop.mapreduce.lib.input.FileInputFormat.INPUT_DIR);
}
// Process the normal splits
if (nonCombinablePaths.size() > 0) {
FileInputFormat.setInputPaths(job, nonCombinablePaths.toArray
(new Path[nonCombinablePaths.size()]));
InputSplit[] splits = super.getSplits(job, numSplits);
for (InputSplit split : splits) {
result.add(split);
}
}
// Process the combine splits
if (combinablePaths.size() > 0) {
FileInputFormat.setInputPaths(job, combinablePaths.toArray
(new Path[combinablePaths.size()]));
Map pathToPartitionInfo = this.pathToPartitionInfo != null ?
this.pathToPartitionInfo : Utilities.getMapWork(job).getPathToPartitionInfo();
InputSplit[] splits = getCombineSplits(job, numSplits, pathToPartitionInfo);
for (InputSplit split : splits) {
result.add(split);
}
}
// Restore the old path information back
// This is just to prevent incompatibilities with previous versions Hive
// if some application depends on the original value being set.
if (oldPaths != null) {
job.set(org.apache.hadoop.mapreduce.lib.input.FileInputFormat.INPUT_DIR, oldPaths);
}
// clear work from ThreadLocal after splits generated in case of thread is reused in pool.
Utilities.clearWorkMapForConf(job);
if (result.isEmpty() && paths.length > 0 && job.getBoolean(Utilities.ENSURE_OPERATORS_EXECUTED, false)) {
// If there are no inputs; the Execution engine skips the operator tree.
// To prevent it from happening; an opaque ZeroRows input is added here - when needed.
result.add(
new HiveInputSplit(new NullRowsInputFormat.DummyInputSplit(paths[0]), ZeroRowsInputFormat.class.getName()));
}
LOG.info("Number of all splits " + result.size());
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.GET_SPLITS);
return result.toArray(new InputSplit[result.size()]);
}
private void processPaths(JobConf job, CombineFileInputFormatShim combine,
List iss, Path... path) throws IOException {
JobConf currJob = new JobConf(job);
FileInputFormat.setInputPaths(currJob, path);
iss.addAll(Arrays.asList(combine.getSplits(currJob, 1)));
}
/**
* This function is used to sample inputs for clauses like "TABLESAMPLE(1 PERCENT)"
*
* First, splits are grouped by alias they are for. If one split serves more than one
* alias or not for any sampled alias, we just directly add it to returned list.
* Then we find a list of exclusive splits for every alias to be sampled.
* For each alias, we start from position of seedNumber%totalNumber, and keep add
* splits until the total size hits percentage.
* @param splits
* @return the sampled splits
*/
private List sampleSplits(List splits) {
HashMap nameToSamples = mrwork.getNameToSplitSample();
List retLists = new ArrayList();
Map> aliasToSplitList = new HashMap>();
Map> pathToAliases = mrwork.getPathToAliases();
Map> pathToAliasesNoScheme = removeScheme(pathToAliases);
// Populate list of exclusive splits for every sampled alias
//
for (CombineFileSplit split : splits) {
String alias = null;
for (Path path : split.getPaths()) {
boolean schemeless = path.toUri().getScheme() == null;
List l = HiveFileFormatUtils.doGetAliasesFromPath(
schemeless ? pathToAliasesNoScheme : pathToAliases, path);
// a path for a split unqualified the split from being sampled if:
// 1. it serves more than one alias
// 2. the alias it serves is not sampled
// 3. it serves different alias than another path for the same split
if (l.size() != 1 || !nameToSamples.containsKey(l.get(0)) ||
(alias != null && !alias.equals(l.get(0)))) {
alias = null;
break;
}
alias = l.get(0);
}
if (alias != null) {
// split exclusively serves alias, which needs to be sampled
// add it to the split list of the alias.
if (!aliasToSplitList.containsKey(alias)) {
aliasToSplitList.put(alias, new ArrayList());
}
aliasToSplitList.get(alias).add(split);
} else {
// The split doesn't exclusively serve one alias
retLists.add(split);
}
}
// for every sampled alias, we figure out splits to be sampled and add
// them to return list
//
for (Map.Entry> entry: aliasToSplitList.entrySet()) {
ArrayList splitList = entry.getValue();
long totalSize = 0;
for (CombineFileSplit split : splitList) {
totalSize += split.getLength();
}
SplitSample splitSample = nameToSamples.get(entry.getKey());
long targetSize = splitSample.getTargetSize(totalSize);
int startIndex = splitSample.getSeedNum() % splitList.size();
long size = 0;
for (int i = 0; i < splitList.size(); i++) {
CombineFileSplit split = splitList.get((startIndex + i) % splitList.size());
retLists.add(split);
long splitgLength = split.getLength();
if (size + splitgLength >= targetSize) {
LOG.info("Sample alias " + entry.getValue() + " using " + (i + 1) + "splits");
if (size + splitgLength > targetSize) {
((InputSplitShim)split).shrinkSplit(targetSize - size);
}
break;
}
size += splitgLength;
}
}
return retLists;
}
Map> removeScheme(Map> pathToAliases) {
Map> result = new HashMap<>();
for (Map.Entry > entry : pathToAliases.entrySet()) {
Path newKey = Path.getPathWithoutSchemeAndAuthority(entry.getKey());
StringInternUtils.internUriStringsInPath(newKey);
result.put(newKey, entry.getValue());
}
return result;
}
/**
* Create a generic Hive RecordReader than can iterate over all chunks in a
* CombinedFileSplit.
*/
@Override
public RecordReader getRecordReader(InputSplit split, JobConf job,
Reporter reporter) throws IOException {
if (!(split instanceof CombineHiveInputSplit)) {
return super.getRecordReader(split, job, reporter);
}
CombineHiveInputSplit hsplit = (CombineHiveInputSplit) split;
String inputFormatClassName = null;
Class inputFormatClass = null;
try {
inputFormatClassName = hsplit.inputFormatClassName();
inputFormatClass = job.getClassByName(inputFormatClassName);
} catch (Exception e) {
throw new IOException("cannot find class " + inputFormatClassName);
}
pushProjectionsAndFilters(job, inputFormatClass, hsplit.getPath(0));
return ShimLoader.getHadoopShims().getCombineFileInputFormat()
.getRecordReader(job,
(CombineFileSplit) split, reporter,
CombineHiveRecordReader.class);
}
static class CombineFilter implements PathFilter {
private final Set pStrings = new HashSet();
// store a path prefix in this TestFilter
// PRECONDITION: p should always be a directory
public CombineFilter(Path p) {
// we need to keep the path part only because the Hadoop CombineFileInputFormat will
// pass the path part only to accept().
// Trailing the path with a separator to prevent partial matching.
addPath(p);
}
public void addPath(Path p) {
String pString = p.toUri().getPath();
pStrings.add(pString);
}
// returns true if the specified path matches the prefix stored
// in this TestFilter.
@Override
public boolean accept(Path path) {
boolean find = false;
while (path != null && !find) {
if(pStrings.contains(path.toUri().getPath())) {
find = true;
break;
}
path = path.getParent();
}
return find;
}
@Override
public String toString() {
StringBuilder s = new StringBuilder();
s.append("PathFilter: ");
for (String pString : pStrings) {
s.append(pString + " ");
}
return s.toString();
}
}
/**
* This is a marker interface that is used to identify the formats where
* combine split generation is not applicable
*/
public interface AvoidSplitCombination {
boolean shouldSkipCombine(Path path, Configuration conf) throws IOException;
}
}
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