org.apache.hudi.hadoop.hive.HoodieCombineHiveInputFormat Maven / Gradle / Ivy
/*
* 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.hudi.hadoop.hive;
import org.apache.hudi.hadoop.HoodieParquetInputFormat;
import org.apache.hudi.hadoop.realtime.HoodieParquetRealtimeInputFormat;
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.fs.PathFilter;
import org.apache.hadoop.hive.common.StringInternUtils;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.Operator;
import org.apache.hadoop.hive.ql.exec.Utilities;
import org.apache.hadoop.hive.ql.io.CombineHiveRecordReader;
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.io.SymlinkTextInputFormat;
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;
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.CombineFileInputFormat;
import org.apache.hadoop.mapred.lib.CombineFileSplit;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.log4j.LogManager;
import org.apache.log4j.Logger;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Objects;
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;
/**
* This is just a copy of the org.apache.hadoop.hive.ql.io.CombineHiveInputFormat from Hive 2.x Search for **MOD** to
* see minor modifications to support custom inputformat in CombineHiveInputFormat. See
* https://issues.apache.org/jira/browse/HIVE-9771
*
*
* 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.
*
* NOTE : This class is implemented to work with Hive 2.x +
*/
public class HoodieCombineHiveInputFormat
extends HiveInputFormat {
private static final String CLASS_NAME = HoodieCombineHiveInputFormat.class.getName();
public static final Logger LOG = LogManager.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;
public CheckNonCombinablePathCallable(Path[] paths, int start, int length, JobConf conf) {
this.paths = paths;
this.start = start;
this.length = length;
this.conf = conf;
}
@Override
public Set call() throws Exception {
Set nonCombinablePathIndices = new HashSet<>();
for (int i = 0; i < length; i++) {
PartitionDesc part = HiveFileFormatUtils.getPartitionDescFromPathRecursively(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);
if (inputFormat instanceof AvoidSplitCombination
&& ((AvoidSplitCombination) inputFormat).shouldSkipCombine(paths[i + start], conf)) {
if (LOG.isDebugEnabled()) {
LOG.debug("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.getPartitionDescFromPathRecursively(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.getPartitionDescFromPathRecursively(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))
&& (Objects.equals(deserializerClassName, 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();
/* MOD - Initialize a custom combine input format shim that will call listStatus on the custom inputFormat **/
HoodieCombineHiveInputFormat.HoodieCombineFileInputFormatShim combine =
new HoodieCombineHiveInputFormat.HoodieCombineFileInputFormatShim<>();
InputSplit[] splits;
if (combine.getInputPathsShim(job).length == 0) {
throw new IOException("No input paths specified in job");
}
List 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<>();
for (Path path : paths) {
PartitionDesc part = HiveFileFormatUtils.getPartitionDescFromPathRecursively(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);
LOG.info("Input Format => " + inputFormatClass.getName());
// **MOD** Set the hoodie filter in the combine
if (inputFormatClass.getName().equals(HoodieParquetInputFormat.class.getName())) {
combine.setHoodieFilter(true);
} else if (inputFormatClass.getName().equals(HoodieParquetRealtimeInputFormat.class.getName())) {
LOG.info("Setting hoodie filter and realtime input format");
combine.setHoodieFilter(true);
combine.setRealTime(true);
}
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;
List> opList;
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.info("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).isDirectory()) { // 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 CombineHiveInputSplit[result.size()]);
}
/**
* Gets all the path indices that should not be combined.
*/
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 {
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)));
}
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);
List 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[0]));
InputSplit[] splits = super.getSplits(job, numSplits);
Collections.addAll(result, splits);
}
// Process the combine splits
if (combinablePaths.size() > 0) {
FileInputFormat.setInputPaths(job, combinablePaths.toArray(new Path[0]));
Map pathToPartitionInfo = this.pathToPartitionInfo != null ? this.pathToPartitionInfo
: Utilities.getMapWork(job).getPathToPartitionInfo();
InputSplit[] splits = getCombineSplits(job, numSplits, pathToPartitionInfo);
Collections.addAll(result, splits);
}
// 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);
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)));
}
/**
* MOD - Just added this for visibility.
*/
Path[] getInputPaths(JobConf job) throws IOException {
Path[] dirs = FileInputFormat.getInputPaths(job);
if (dirs.length == 0) {
// on tez we're avoiding to duplicate the file info in FileInputFormat.
if (HiveConf.getVar(job, HiveConf.ConfVars.HIVE_EXECUTION_ENGINE).equals("tez")) {
try {
List paths = Utilities.getInputPathsTez(job, mrwork);
dirs = paths.toArray(new Path[paths.size()]);
} catch (Exception e) {
throw new IOException("Could not create input files", e);
}
} else {
throw new IOException("No input paths specified in job");
}
}
return dirs;
}
/**
* 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.
*
* @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 && !Objects.equals(l.get(0), alias))) {
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;
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) {
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;
}
/**
* **MOD** This is the implementation of CombineFileInputFormat which is a copy of
* org.apache.hadoop.hive.shims.HadoopShimsSecure.CombineFileInputFormatShim with changes in listStatus.
*/
public static class HoodieCombineFileInputFormatShim extends CombineFileInputFormat
implements org.apache.hadoop.hive.shims.HadoopShims.CombineFileInputFormatShim {
private boolean hoodieFilter = false;
private boolean isRealTime = false;
public HoodieCombineFileInputFormatShim() {}
@Override
public Path[] getInputPathsShim(JobConf conf) {
try {
return FileInputFormat.getInputPaths(conf);
} catch (Exception var3) {
throw new RuntimeException(var3);
}
}
@Override
public void createPool(JobConf conf, PathFilter... filters) {
super.createPool(conf, filters);
}
@Override
public RecordReader getRecordReader(InputSplit split, JobConf job, Reporter reporter) throws IOException {
throw new IOException("CombineFileInputFormat.getRecordReader not needed.");
}
@Override
protected List listStatus(JobContext job) throws IOException {
LOG.info("Listing status in HoodieCombineHiveInputFormat.HoodieCombineFileInputFormatShim");
List result;
if (hoodieFilter) {
HoodieParquetInputFormat input;
if (isRealTime) {
LOG.info("Using HoodieRealtimeInputFormat");
input = new HoodieParquetRealtimeInputFormat();
} else {
LOG.info("Using HoodieInputFormat");
input = new HoodieParquetInputFormat();
}
input.setConf(job.getConfiguration());
result = new ArrayList<>(Arrays.asList(input.listStatus(new JobConf(job.getConfiguration()))));
} else {
result = super.listStatus(job);
}
result.removeIf(stat -> !stat.isFile());
return result;
}
@Override
public CombineFileSplit[] getSplits(JobConf job, int numSplits) throws IOException {
long minSize = job.getLong(org.apache.hadoop.mapreduce.lib.input.FileInputFormat.SPLIT_MINSIZE, 0L);
if (job.getLong("mapreduce.input.fileinputformat.split.minsize.per.node", 0L) == 0L) {
super.setMinSplitSizeNode(minSize);
}
if (job.getLong("mapreduce.input.fileinputformat.split.minsize.per.rack", 0L) == 0L) {
super.setMinSplitSizeRack(minSize);
}
if (job.getLong(org.apache.hadoop.mapreduce.lib.input.FileInputFormat.SPLIT_MAXSIZE, 0L) == 0L) {
super.setMaxSplitSize(minSize);
}
InputSplit[] splits = super.getSplits(job, numSplits);
List inputSplitShims = new ArrayList<>();
for (InputSplit inputSplit : splits) {
CombineFileSplit split = (CombineFileSplit) inputSplit;
if (split.getPaths().length > 0) {
inputSplitShims.add(new InputSplitShim(job, split.getPaths(), split.getStartOffsets(),
split.getLengths(), split.getLocations()));
}
}
return inputSplitShims.toArray(new HadoopShimsSecure.InputSplitShim[inputSplitShims.size()]);
}
@Override
public HadoopShimsSecure.InputSplitShim getInputSplitShim() {
return new HadoopShimsSecure.InputSplitShim();
}
@Override
public RecordReader getRecordReader(JobConf job, CombineFileSplit split, Reporter reporter,
Class> rrClass) throws IOException {
return new HadoopShimsSecure.CombineFileRecordReader(job, split, reporter, rrClass);
}
public void setHoodieFilter(boolean hoodieFilter) {
this.hoodieFilter = hoodieFilter;
}
public void setRealTime(boolean realTime) {
isRealTime = realTime;
}
}
}