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Merge trunk into HDFS-6581

This commit is contained in:
arp 2014-09-03 10:53:37 -07:00
parent 762b04e994 1dcaba9a7a
commit 08a8f2be81
29 changed files with 498 additions and 1238 deletions
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0
hadoop-common-project/hadoop-common/LICENSE.txt → LICENSE.txt
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0
hadoop-common-project/hadoop-common/NOTICE.txt → NOTICE.txt
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0
hadoop-common-project/hadoop-common/README.txt → README.txt
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24
dev-support/create-release.sh
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@ -70,8 +70,10 @@ fi
ARTIFACTS_DIR="target/artifacts"
# Create staging dir for release artifacts
# mvn clean for sanity
run ${MVN} clean
# Create staging dir for release artifacts
run mkdir -p ${ARTIFACTS_DIR}
# Create RAT report
@ -80,10 +82,17 @@ run ${MVN} apache-rat:check
# Create SRC and BIN tarballs for release,
# Using 'install’ goal instead of 'package' so artifacts are available
# in the Maven local cache for the site generation
run ${MVN} install -Pdist,docs,src,native -DskipTests -Dtar
run ${MVN} install -Pdist,src,native -DskipTests -Dtar
# Create site for release
run ${MVN} site site:stage -Pdist -Psrc
run mkdir -p target/staging/hadoop-project/hadoop-project-dist/hadoop-yarn
run mkdir -p target/staging/hadoop-project/hadoop-project-dist/hadoop-mapreduce
run cp ./hadoop-common-project/hadoop-common/src/main/docs/releasenotes.html target/staging/hadoop-project/hadoop-project-dist/hadoop-common/
run cp ./hadoop-common-project/hadoop-common/CHANGES.txt target/staging/hadoop-project/hadoop-project-dist/hadoop-common/
run cp ./hadoop-hdfs-project/hadoop-hdfs/CHANGES.txt target/staging/hadoop-project/hadoop-project-dist/hadoop-hdfs/
run cp ./hadoop-yarn-project/CHANGES.txt target/staging/hadoop-project/hadoop-project-dist/hadoop-yarn/
run cp ./hadoop-mapreduce-project/CHANGES.txt target/staging/hadoop-project/hadoop-project-dist/hadoop-mapreduce/
run mv target/staging/hadoop-project target/r${HADOOP_VERSION}/
run cd target/
run tar czf hadoop-site-${HADOOP_VERSION}.tar.gz r${HADOOP_VERSION}/*
@ -94,14 +103,19 @@ find . -name rat.txt | xargs -I% cat % > ${ARTIFACTS_DIR}/hadoop-${HADOOP_VERSIO
# Stage CHANGES.txt files
run cp ./hadoop-common-project/hadoop-common/CHANGES.txt ${ARTIFACTS_DIR}/CHANGES-COMMON-${HADOOP_VERSION}${RC_LABEL}.txt
run cp ./hadoop-hdfs-project/hadoop-hdfs/CHANGES.txt ${ARTIFACTS_DIR}/CHANGES-HDFS--${HADOOP_VERSION}${RC_LABEL}.txt
run cp ./hadoop-hdfs-project/hadoop-hdfs/CHANGES.txt ${ARTIFACTS_DIR}/CHANGES-HDFS-${HADOOP_VERSION}${RC_LABEL}.txt
run cp ./hadoop-mapreduce-project/CHANGES.txt ${ARTIFACTS_DIR}/CHANGES-MAPREDUCE-${HADOOP_VERSION}${RC_LABEL}.txt
run cp ./hadoop-yarn-project/CHANGES.txt ${ARTIFACTS_DIR}/CHANGES-YARN-${HADOOP_VERSION}${RC_LABEL}.txt
# Stage BIN tarball
# Prepare and stage BIN tarball
run cd hadoop-dist/target/
run tar -xzf hadoop-${HADOOP_VERSION}.tar.gz
run cp -r ../../target/r${HADOOP_VERSION}/* hadoop-${HADOOP_VERSION}/share/doc/hadoop/
run tar -czf hadoop-${HADOOP_VERSION}.tar.gz hadoop-${HADOOP_VERSION}
run cd ../..
run mv hadoop-dist/target/hadoop-${HADOOP_VERSION}.tar.gz ${ARTIFACTS_DIR}/hadoop-${HADOOP_VERSION}${RC_LABEL}.tar.gz
# State SRC tarball
# Stage SRC tarball
run mv hadoop-dist/target/hadoop-${HADOOP_VERSION}-src.tar.gz ${ARTIFACTS_DIR}/hadoop-${HADOOP_VERSION}${RC_LABEL}-src.tar.gz
# Stage SITE tarball

8
hadoop-assemblies/src/main/resources/assemblies/hadoop-src.xml
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@ -23,6 +23,14 @@
</formats>
<includeBaseDirectory>true</includeBaseDirectory>
<fileSets>
<fileSet>
<directory>.</directory>
<includes>
<include>LICENCE.txt</include>
<include>README.txt</include>
<include>NOTICE.txt</include>
</includes>
</fileSet>
<fileSet>
<directory>.</directory>
<useDefaultExcludes>true</useDefaultExcludes>

3
hadoop-common-project/hadoop-common/CHANGES.txt
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@ -748,6 +748,9 @@ Release 2.5.1 - UNRELEASED
IMPROVEMENTS
HADOOP-10956. Fix create-release script to include docs and necessary txt
files. (kasha)
OPTIMIZATIONS
BUG FIXES

3
hadoop-dist/pom.xml
View File

@ -114,6 +114,9 @@
run rm -rf hadoop-${project.version}
run mkdir hadoop-${project.version}
run cd hadoop-${project.version}
run cp $ROOT/LICENSE.txt .
run cp $ROOT/NOTICE.txt .
run cp $ROOT/README.txt .
run cp -r $ROOT/hadoop-common-project/hadoop-common/target/hadoop-common-${project.version}/* .
run cp -r $ROOT/hadoop-common-project/hadoop-nfs/target/hadoop-nfs-${project.version}/* .
run cp -r $ROOT/hadoop-hdfs-project/hadoop-hdfs/target/hadoop-hdfs-${project.version}/* .

3
hadoop-hdfs-project/hadoop-hdfs/CHANGES.txt
View File

@ -680,6 +680,9 @@ Release 2.6.0 - UNRELEASED
HDFS-6954. With crypto, no native lib systems are too verbose. (clamb via wang)
HDFS-2975. Rename with overwrite flag true can make NameNode to stuck in safemode
on NN (crash + restart). (Yi Liu via umamahesh)
Release 2.5.1 - UNRELEASED
INCOMPATIBLE CHANGES

271
hadoop-hdfs-project/hadoop-hdfs/LICENSE.txt
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@ -1,271 +0,0 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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"You" (or "Your") shall mean an individual or Legal Entity
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where such license applies only to those patent claims licensable
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5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
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Notwithstanding the above, nothing herein shall supersede or modify
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names, trademarks, service marks, or product names of the Licensor,
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7. Disclaimer of Warranty. Unless required by applicable law or
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APACHE HADOOP SUBCOMPONENTS:
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For the org.apache.hadoop.util.bloom.* classes:
/**
*
* Copyright (c) 2005, European Commission project OneLab under contract
* 034819 (http://www.one-lab.org)
* All rights reserved.
* Redistribution and use in source and binary forms, with or
* without modification, are permitted provided that the following
* conditions are met:
* - Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* - Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the distribution.
* - Neither the name of the University Catholique de Louvain - UCL
* nor the names of its contributors may be used to endorse or
* promote products derived from this software without specific prior
* written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
For src/main/native/util/tree.h:
/*-
* Copyright 2002 Niels Provos <provos@citi.umich.edu>
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/

2
hadoop-hdfs-project/hadoop-hdfs/NOTICE.txt
View File

@ -1,2 +0,0 @@
This product includes software developed by The Apache Software
Foundation (http://www.apache.org/).

37
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/server/namenode/FSDirectory.java
View File

@ -454,7 +454,7 @@ public class FSDirectory implements Closeable {
* @see #unprotectedRenameTo(String, String, long, Options.Rename...)
*/
void renameTo(String src, String dst, long mtime,
Options.Rename... options)
BlocksMapUpdateInfo collectedBlocks, Options.Rename... options)
throws FileAlreadyExistsException, FileNotFoundException,
ParentNotDirectoryException, QuotaExceededException,
UnresolvedLinkException, IOException {
@ -464,7 +464,7 @@ public class FSDirectory implements Closeable {
}
writeLock();
try {
if (unprotectedRenameTo(src, dst, mtime, options)) {
if (unprotectedRenameTo(src, dst, mtime, collectedBlocks, options)) {
namesystem.incrDeletedFileCount(1);
}
} finally {
@ -571,8 +571,9 @@ public class FSDirectory implements Closeable {
/**
* Rename src to dst.
* See {@link DistributedFileSystem#rename(Path, Path, Options.Rename...)}
* for details related to rename semantics and exceptions.
* <br>
* Note: This is to be used by {@link FSEditLog} only.
* <br>
*
* @param src source path
* @param dst destination path
@ -583,6 +584,31 @@ public class FSDirectory implements Closeable {
Options.Rename... options) throws FileAlreadyExistsException,
FileNotFoundException, ParentNotDirectoryException,
QuotaExceededException, UnresolvedLinkException, IOException {
BlocksMapUpdateInfo collectedBlocks = new BlocksMapUpdateInfo();
boolean ret = unprotectedRenameTo(src, dst, timestamp,
collectedBlocks, options);
if (!collectedBlocks.getToDeleteList().isEmpty()) {
getFSNamesystem().removeBlocksAndUpdateSafemodeTotal(collectedBlocks);
}
return ret;
}
/**
* Rename src to dst.
* See {@link DistributedFileSystem#rename(Path, Path, Options.Rename...)}
* for details related to rename semantics and exceptions.
*
* @param src source path
* @param dst destination path
* @param timestamp modification time
* @param collectedBlocks blocks to be removed
* @param options Rename options
*/
boolean unprotectedRenameTo(String src, String dst, long timestamp,
BlocksMapUpdateInfo collectedBlocks, Options.Rename... options)
throws FileAlreadyExistsException, FileNotFoundException,
ParentNotDirectoryException, QuotaExceededException,
UnresolvedLinkException, IOException {
assert hasWriteLock();
boolean overwrite = options != null && Arrays.asList(options).contains
(Rename.OVERWRITE);
@ -672,7 +698,6 @@ public class FSDirectory implements Closeable {
if (removedDst != null) {
undoRemoveDst = false;
if (removedNum > 0) {
BlocksMapUpdateInfo collectedBlocks = new BlocksMapUpdateInfo();
List<INode> removedINodes = new ChunkedArrayList<INode>();
if (!removedDst.isInLatestSnapshot(dstIIP.getLatestSnapshotId())) {
removedDst.destroyAndCollectBlocks(collectedBlocks, removedINodes);
@ -682,7 +707,7 @@ public class FSDirectory implements Closeable {
dstIIP.getLatestSnapshotId(), collectedBlocks, removedINodes,
true).get(Quota.NAMESPACE) >= 0;
}
getFSNamesystem().removePathAndBlocks(src, collectedBlocks,
getFSNamesystem().removePathAndBlocks(src, null,
removedINodes, false);
}
}

15
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/server/namenode/FSNamesystem.java
View File

@ -3665,12 +3665,14 @@ public class FSNamesystem implements Namesystem, FSClusterStats,
HdfsFileStatus resultingStat = null;
boolean success = false;
writeLock();
BlocksMapUpdateInfo collectedBlocks = new BlocksMapUpdateInfo();
try {
checkOperation(OperationCategory.WRITE);
checkNameNodeSafeMode("Cannot rename " + src);
src = resolvePath(src, srcComponents);
dst = resolvePath(dst, dstComponents);
renameToInternal(pc, src, dst, cacheEntry != null, options);
renameToInternal(pc, src, dst, cacheEntry != null,
collectedBlocks, options);
resultingStat = getAuditFileInfo(dst, false);
success = true;
} finally {
@ -3678,6 +3680,10 @@ public class FSNamesystem implements Namesystem, FSClusterStats,
RetryCache.setState(cacheEntry, success);
}
getEditLog().logSync();
if (!collectedBlocks.getToDeleteList().isEmpty()) {
removeBlocks(collectedBlocks);
collectedBlocks.clear();
}
if (resultingStat != null) {
StringBuilder cmd = new StringBuilder("rename options=");
for (Rename option : options) {
@ -3687,8 +3693,9 @@ public class FSNamesystem implements Namesystem, FSClusterStats,
}
}
private void renameToInternal(FSPermissionChecker pc, String src, String dst,
boolean logRetryCache, Options.Rename... options) throws IOException {
private void renameToInternal(FSPermissionChecker pc, String src,
String dst, boolean logRetryCache, BlocksMapUpdateInfo collectedBlocks,
Options.Rename... options) throws IOException {
assert hasWriteLock();
if (isPermissionEnabled) {
// Rename does not operates on link targets
@ -3703,7 +3710,7 @@ public class FSNamesystem implements Namesystem, FSClusterStats,
waitForLoadingFSImage();
long mtime = now();
dir.renameTo(src, dst, mtime, options);
dir.renameTo(src, dst, mtime, collectedBlocks, options);
getEditLog().logRename(src, dst, mtime, logRetryCache, options);
}

6
hadoop-hdfs-project/hadoop-hdfs/src/test/java/org/apache/hadoop/hdfs/TestDFSRename.java
View File

@ -131,6 +131,7 @@ public class TestDFSRename {
/**
* Check the blocks of dst file are cleaned after rename with overwrite
* Restart NN to check the rename successfully
*/
@Test(timeout = 120000)
public void testRenameWithOverwrite() throws Exception {
@ -160,6 +161,11 @@ public class TestDFSRename {
dfs.rename(srcPath, dstPath, Rename.OVERWRITE);
assertTrue(bm.getStoredBlock(lbs.getLocatedBlocks().get(0).getBlock().
getLocalBlock()) == null);
// Restart NN and check the rename successfully
cluster.restartNameNodes();
assertFalse(dfs.exists(srcPath));
assertTrue(dfs.exists(dstPath));
} finally {
if (dfs != null) {
dfs.close();

341
hadoop-mapreduce-project/LICENSE.txt
View File

@ -1,341 +0,0 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
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END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
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/**
*
* Copyright (c) 2005, European Commission project OneLab under contract
* 034819 (http://www.one-lab.org)
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* Redistribution and use in source and binary forms, with or
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* nor the names of its contributors may be used to endorse or
* promote products derived from this software without specific prior
* written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
The binary distribution of this product bundles binaries of leveldbjni
(https://github.com/fusesource/leveldbjni), which is available under the
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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(http://code.google.com/p/leveldb/), which is available under the following
license:
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modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the
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* Neither the name of Google Inc. nor the names of its
contributors may be used to endorse or promote products derived from
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
The binary distribution of this product bundles binaries of snappy
(http://code.google.com/p/snappy/), which is available under the following
license:
Copyright 2011, Google Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the
distribution.
* Neither the name of Google Inc. nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

2
hadoop-mapreduce-project/NOTICE.txt
View File

@ -1,2 +0,0 @@
This product includes software developed by The Apache Software
Foundation (http://www.apache.org/).

3
hadoop-yarn-project/CHANGES.txt
View File

@ -61,6 +61,9 @@ Release 2.6.0 - UNRELEASED
YARN-2395. FairScheduler: Preemption timeout should be configurable per
queue. (Wei Yan via kasha)
YARN-2394. FairScheduler: Configure fairSharePreemptionThreshold per queue.
(Wei Yan via kasha)
IMPROVEMENTS
YARN-2197. Add a link to YARN CHANGES.txt in the left side of doc

341
hadoop-yarn-project/LICENSE.txt
View File

@ -1,341 +0,0 @@
Apache License
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appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
Licensed 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
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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.
APACHE HADOOP SUBCOMPONENTS:
The Apache Hadoop project contains subcomponents with separate copyright
notices and license terms. Your use of the source code for the these
subcomponents is subject to the terms and conditions of the following
licenses.
For the org.apache.hadoop.util.bloom.* classes:
/**
*
* Copyright (c) 2005, European Commission project OneLab under contract
* 034819 (http://www.one-lab.org)
* All rights reserved.
* Redistribution and use in source and binary forms, with or
* without modification, are permitted provided that the following
* conditions are met:
* - Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* - Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the distribution.
* - Neither the name of the University Catholique de Louvain - UCL
* nor the names of its contributors may be used to endorse or
* promote products derived from this software without specific prior
* written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
The binary distribution of this product bundles binaries of leveldbjni
(https://github.com/fusesource/leveldbjni), which is available under the
following license:
Copyright (c) 2011 FuseSource Corp. All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the
distribution.
* Neither the name of FuseSource Corp. nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
The binary distribution of this product bundles binaries of leveldb
(http://code.google.com/p/leveldb/), which is available under the following
license:
Copyright (c) 2011 The LevelDB Authors. All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the
distribution.
* Neither the name of Google Inc. nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
The binary distribution of this product bundles binaries of snappy
(http://code.google.com/p/snappy/), which is available under the following
license:
Copyright 2011, Google Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the
distribution.
* Neither the name of Google Inc. nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

17
hadoop-yarn-project/NOTICE.txt
View File

@ -1,17 +0,0 @@
This product includes software developed by The Apache Software
Foundation (http://www.apache.org/).
The binary distribution of this product bundles binaries of
org.iq80.leveldb:leveldb-api (https://github.com/dain/leveldb), which has the
following notices:
* Copyright 2011 Dain Sundstrom <dain@iq80.com>
* Copyright 2011 FuseSource Corp. http://fusesource.com
The binary distribution of this product bundles binaries of
org.fusesource.hawtjni:hawtjni-runtime (https://github.com/fusesource/hawtjni),
which has the following notices:
* This product includes software developed by FuseSource Corp.
http://fusesource.com
* This product includes software developed at
Progress Software Corporation and/or its subsidiaries or affiliates.
* This product includes software developed by IBM Corporation and others.

20
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/AllocationConfiguration.java
View File

@ -70,6 +70,12 @@ public class AllocationConfiguration {
// allowed to preempt other jobs' tasks.
private final Map<String, Long> fairSharePreemptionTimeouts;
// The fair share preemption threshold for each queue. If a queue waits
// fairSharePreemptionTimeout without receiving
// fairshare * fairSharePreemptionThreshold resources, it is allowed to
// preempt other queues' tasks.
private final Map<String, Float> fairSharePreemptionThresholds;
private final Map<String, SchedulingPolicy> schedulingPolicies;
private final SchedulingPolicy defaultSchedulingPolicy;
@ -92,6 +98,7 @@ public class AllocationConfiguration {
SchedulingPolicy defaultSchedulingPolicy,
Map<String, Long> minSharePreemptionTimeouts,
Map<String, Long> fairSharePreemptionTimeouts,
Map<String, Float> fairSharePreemptionThresholds,
Map<String, Map<QueueACL, AccessControlList>> queueAcls,
QueuePlacementPolicy placementPolicy,
Map<FSQueueType, Set<String>> configuredQueues) {
@ -108,6 +115,7 @@ public class AllocationConfiguration {
this.schedulingPolicies = schedulingPolicies;
this.minSharePreemptionTimeouts = minSharePreemptionTimeouts;
this.fairSharePreemptionTimeouts = fairSharePreemptionTimeouts;
this.fairSharePreemptionThresholds = fairSharePreemptionThresholds;
this.queueAcls = queueAcls;
this.placementPolicy = placementPolicy;
this.configuredQueues = configuredQueues;
@ -126,6 +134,7 @@ public class AllocationConfiguration {
queueAcls = new HashMap<String, Map<QueueACL, AccessControlList>>();
minSharePreemptionTimeouts = new HashMap<String, Long>();
fairSharePreemptionTimeouts = new HashMap<String, Long>();
fairSharePreemptionThresholds = new HashMap<String, Float>();
schedulingPolicies = new HashMap<String, SchedulingPolicy>();
defaultSchedulingPolicy = SchedulingPolicy.DEFAULT_POLICY;
configuredQueues = new HashMap<FSQueueType, Set<String>>();
@ -172,6 +181,17 @@ public class AllocationConfiguration {
-1 : fairSharePreemptionTimeout;
}
/**
* Get a queue's fair share preemption threshold in the allocation file.
* Return -1f if not set.
*/
public float getFairSharePreemptionThreshold(String queueName) {
Float fairSharePreemptionThreshold =
fairSharePreemptionThresholds.get(queueName);
return (fairSharePreemptionThreshold == null) ?
-1f : fairSharePreemptionThreshold;
}
public ResourceWeights getQueueWeight(String queue) {
ResourceWeights weight = queueWeights.get(queue);
return (weight == null) ? ResourceWeights.NEUTRAL : weight;

48
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/AllocationFileLoaderService.java
View File

@ -218,6 +218,8 @@ public class AllocationFileLoaderService extends AbstractService {
Map<String, SchedulingPolicy> queuePolicies = new HashMap<String, SchedulingPolicy>();
Map<String, Long> minSharePreemptionTimeouts = new HashMap<String, Long>();
Map<String, Long> fairSharePreemptionTimeouts = new HashMap<String, Long>();
Map<String, Float> fairSharePreemptionThresholds =
new HashMap<String, Float>();
Map<String, Map<QueueACL, AccessControlList>> queueAcls =
new HashMap<String, Map<QueueACL, AccessControlList>>();
int userMaxAppsDefault = Integer.MAX_VALUE;
@ -225,6 +227,7 @@ public class AllocationFileLoaderService extends AbstractService {
float queueMaxAMShareDefault = -1.0f;
long defaultFairSharePreemptionTimeout = Long.MAX_VALUE;
long defaultMinSharePreemptionTimeout = Long.MAX_VALUE;
float defaultFairSharePreemptionThreshold = 0.5f;
SchedulingPolicy defaultSchedPolicy = SchedulingPolicy.DEFAULT_POLICY;
QueuePlacementPolicy newPlacementPolicy = null;
@ -277,7 +280,8 @@ public class AllocationFileLoaderService extends AbstractService {
String text = ((Text)element.getFirstChild()).getData().trim();
int val = Integer.parseInt(text);
userMaxAppsDefault = val;
} else if ("defaultFairSharePreemptionTimeout".equals(element.getTagName())) {
} else if ("defaultFairSharePreemptionTimeout"
.equals(element.getTagName())) {
String text = ((Text)element.getFirstChild()).getData().trim();
long val = Long.parseLong(text) * 1000L;
defaultFairSharePreemptionTimeout = val;
@ -287,10 +291,17 @@ public class AllocationFileLoaderService extends AbstractService {
long val = Long.parseLong(text) * 1000L;
defaultFairSharePreemptionTimeout = val;
}
} else if ("defaultMinSharePreemptionTimeout".equals(element.getTagName())) {
} else if ("defaultMinSharePreemptionTimeout"
.equals(element.getTagName())) {
String text = ((Text)element.getFirstChild()).getData().trim();
long val = Long.parseLong(text) * 1000L;
defaultMinSharePreemptionTimeout = val;
} else if ("defaultFairSharePreemptionThreshold"
.equals(element.getTagName())) {
String text = ((Text)element.getFirstChild()).getData().trim();
float val = Float.parseFloat(text);
val = Math.max(Math.min(val, 1.0f), 0.0f);
defaultFairSharePreemptionThreshold = val;
} else if ("queueMaxAppsDefault".equals(element.getTagName())) {
String text = ((Text)element.getFirstChild()).getData().trim();
int val = Integer.parseInt(text);
@ -326,7 +337,7 @@ public class AllocationFileLoaderService extends AbstractService {
loadQueue(parent, element, minQueueResources, maxQueueResources,
queueMaxApps, userMaxApps, queueMaxAMShares, queueWeights,
queuePolicies, minSharePreemptionTimeouts, fairSharePreemptionTimeouts,
queueAcls, configuredQueues);
fairSharePreemptionThresholds, queueAcls, configuredQueues);
}
// Load placement policy and pass it configured queues
@ -349,11 +360,18 @@ public class AllocationFileLoaderService extends AbstractService {
defaultFairSharePreemptionTimeout);
}
// Set the fair share preemption threshold for the root queue
if (!fairSharePreemptionThresholds.containsKey(QueueManager.ROOT_QUEUE)) {
fairSharePreemptionThresholds.put(QueueManager.ROOT_QUEUE,
defaultFairSharePreemptionThreshold);
}
AllocationConfiguration info = new AllocationConfiguration(minQueueResources,
maxQueueResources, queueMaxApps, userMaxApps, queueWeights,
queueMaxAMShares, userMaxAppsDefault, queueMaxAppsDefault,
queueMaxAMShareDefault, queuePolicies, defaultSchedPolicy,
minSharePreemptionTimeouts, fairSharePreemptionTimeouts, queueAcls,
minSharePreemptionTimeouts, fairSharePreemptionTimeouts,
fairSharePreemptionThresholds, queueAcls,
newPlacementPolicy, configuredQueues);
lastSuccessfulReload = clock.getTime();
@ -365,13 +383,15 @@ public class AllocationFileLoaderService extends AbstractService {
/**
* Loads a queue from a queue element in the configuration file
*/
private void loadQueue(String parentName, Element element, Map<String, Resource> minQueueResources,
private void loadQueue(String parentName, Element element,
Map<String, Resource> minQueueResources,
Map<String, Resource> maxQueueResources, Map<String, Integer> queueMaxApps,
Map<String, Integer> userMaxApps, Map<String, Float> queueMaxAMShares,
Map<String, ResourceWeights> queueWeights,
Map<String, SchedulingPolicy> queuePolicies,
Map<String, Long> minSharePreemptionTimeouts,
Map<String, Long> fairSharePreemptionTimeouts,
Map<String, Float> fairSharePreemptionThresholds,
Map<String, Map<QueueACL, AccessControlList>> queueAcls,
Map<FSQueueType, Set<String>> configuredQueues)
throws AllocationConfigurationException {
@ -418,6 +438,11 @@ public class AllocationFileLoaderService extends AbstractService {
String text = ((Text)field.getFirstChild()).getData().trim();
long val = Long.parseLong(text) * 1000L;
fairSharePreemptionTimeouts.put(queueName, val);
} else if ("fairSharePreemptionThreshold".equals(field.getTagName())) {
String text = ((Text)field.getFirstChild()).getData().trim();
float val = Float.parseFloat(text);
val = Math.max(Math.min(val, 1.0f), 0.0f);
fairSharePreemptionThresholds.put(queueName, val);
} else if ("schedulingPolicy".equals(field.getTagName())
|| "schedulingMode".equals(field.getTagName())) {
String text = ((Text)field.getFirstChild()).getData().trim();
@ -434,7 +459,8 @@ public class AllocationFileLoaderService extends AbstractService {
loadQueue(queueName, field, minQueueResources, maxQueueResources,
queueMaxApps, userMaxApps, queueMaxAMShares, queueWeights,
queuePolicies, minSharePreemptionTimeouts,
fairSharePreemptionTimeouts, queueAcls, configuredQueues);
fairSharePreemptionTimeouts, fairSharePreemptionThresholds,
queueAcls, configuredQueues);
configuredQueues.get(FSQueueType.PARENT).add(queueName);
isLeaf = false;
}
@ -449,11 +475,15 @@ public class AllocationFileLoaderService extends AbstractService {
}
}
queueAcls.put(queueName, acls);
if (maxQueueResources.containsKey(queueName) && minQueueResources.containsKey(queueName)
if (maxQueueResources.containsKey(queueName) &&
minQueueResources.containsKey(queueName)
&& !Resources.fitsIn(minQueueResources.get(queueName),
maxQueueResources.get(queueName))) {
LOG.warn(String.format("Queue %s has max resources %s less than min resources %s",
queueName, maxQueueResources.get(queueName), minQueueResources.get(queueName)));
LOG.warn(
String.format(
"Queue %s has max resources %s less than min resources %s",
queueName, maxQueueResources.get(queueName),
minQueueResources.get(queueName)));
}
}

54
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FSLeafQueue.java
View File

@ -24,6 +24,7 @@ import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import com.google.common.annotations.VisibleForTesting;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.classification.InterfaceAudience.Private;
@ -54,7 +55,7 @@ public class FSLeafQueue extends FSQueue {
// Variables used for preemption
private long lastTimeAtMinShare;
private long lastTimeAtHalfFairShare;
private long lastTimeAtFairShareThreshold;
// Track the AM resource usage for this queue
private Resource amResourceUsage;
@ -65,7 +66,7 @@ public class FSLeafQueue extends FSQueue {
FSParentQueue parent) {
super(name, scheduler, parent);
this.lastTimeAtMinShare = scheduler.getClock().getTime();
this.lastTimeAtHalfFairShare = scheduler.getClock().getTime();
this.lastTimeAtFairShareThreshold = scheduler.getClock().getTime();
activeUsersManager = new ActiveUsersManager(getMetrics());
amResourceUsage = Resource.newInstance(0, 0);
}
@ -275,16 +276,17 @@ public class FSLeafQueue extends FSQueue {
return lastTimeAtMinShare;
}
public void setLastTimeAtMinShare(long lastTimeAtMinShare) {
private void setLastTimeAtMinShare(long lastTimeAtMinShare) {
this.lastTimeAtMinShare = lastTimeAtMinShare;
}
public long getLastTimeAtHalfFairShare() {
return lastTimeAtHalfFairShare;
public long getLastTimeAtFairShareThreshold() {
return lastTimeAtFairShareThreshold;
}
public void setLastTimeAtHalfFairShare(long lastTimeAtHalfFairShare) {
this.lastTimeAtHalfFairShare = lastTimeAtHalfFairShare;
private void setLastTimeAtFairShareThreshold(
long lastTimeAtFairShareThreshold) {
this.lastTimeAtFairShareThreshold = lastTimeAtFairShareThreshold;
}
@Override
@ -328,6 +330,20 @@ public class FSLeafQueue extends FSQueue {
// TODO Auto-generated method stub
}
/**
* Update the preemption fields for the queue, i.e. the times since last was
* at its guaranteed share and over its fair share threshold.
*/
public void updateStarvationStats() {
long now = scheduler.getClock().getTime();
if (!isStarvedForMinShare()) {
setLastTimeAtMinShare(now);
}
if (!isStarvedForFairShare()) {
setLastTimeAtFairShareThreshold(now);
}
}
/**
* Helper method to check if the queue should preempt containers
*
@ -337,4 +353,28 @@ public class FSLeafQueue extends FSQueue {
return parent.getPolicy().checkIfUsageOverFairShare(getResourceUsage(),
getFairShare());
}
/**
* Is a queue being starved for its min share.
*/
@VisibleForTesting
boolean isStarvedForMinShare() {
return isStarved(getMinShare());
}
/**
* Is a queue being starved for its fair share threshold.
*/
@VisibleForTesting
boolean isStarvedForFairShare() {
return isStarved(
Resources.multiply(getFairShare(), getFairSharePreemptionThreshold()));
}
private boolean isStarved(Resource share) {
Resource desiredShare = Resources.min(FairScheduler.getResourceCalculator(),
scheduler.getClusterResource(), share, getDemand());
return Resources.lessThan(FairScheduler.getResourceCalculator(),
scheduler.getClusterResource(), getResourceUsage(), desiredShare);
}
}

6
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FSParentQueue.java
View File

@ -78,11 +78,11 @@ public class FSParentQueue extends FSQueue {
}
@Override
public void updatePreemptionTimeouts() {
super.updatePreemptionTimeouts();
public void updatePreemptionVariables() {
super.updatePreemptionVariables();
// For child queues
for (FSQueue childQueue : childQueues) {
childQueue.updatePreemptionTimeouts();
childQueue.updatePreemptionVariables();
}
}

23
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FSQueue.java
View File

@ -54,6 +54,7 @@ public abstract class FSQueue implements Queue, Schedulable {
private long fairSharePreemptionTimeout = Long.MAX_VALUE;
private long minSharePreemptionTimeout = Long.MAX_VALUE;
private float fairSharePreemptionThreshold = 0.5f;
public FSQueue(String name, FairScheduler scheduler, FSParentQueue parent) {
this.name = name;
@ -186,6 +187,14 @@ public abstract class FSQueue implements Queue, Schedulable {
this.minSharePreemptionTimeout = minSharePreemptionTimeout;
}
public float getFairSharePreemptionThreshold() {
return fairSharePreemptionThreshold;
}
public void setFairSharePreemptionThreshold(float fairSharePreemptionThreshold) {
this.fairSharePreemptionThreshold = fairSharePreemptionThreshold;
}
/**
* Recomputes the shares for all child queues and applications based on this
* queue's current share
@ -193,21 +202,27 @@ public abstract class FSQueue implements Queue, Schedulable {
public abstract void recomputeShares();
/**
* Update the min/fair share preemption timeouts for this queue.
* Update the min/fair share preemption timeouts and threshold for this queue.
*/
public void updatePreemptionTimeouts() {
// For min share
public void updatePreemptionVariables() {
// For min share timeout
minSharePreemptionTimeout = scheduler.getAllocationConfiguration()
.getMinSharePreemptionTimeout(getName());
if (minSharePreemptionTimeout == -1 && parent != null) {
minSharePreemptionTimeout = parent.getMinSharePreemptionTimeout();
}
// For fair share
// For fair share timeout
fairSharePreemptionTimeout = scheduler.getAllocationConfiguration()
.getFairSharePreemptionTimeout(getName());
if (fairSharePreemptionTimeout == -1 && parent != null) {
fairSharePreemptionTimeout = parent.getFairSharePreemptionTimeout();
}
// For fair share preemption threshold
fairSharePreemptionThreshold = scheduler.getAllocationConfiguration()
.getFairSharePreemptionThreshold(getName());
if (fairSharePreemptionThreshold < 0 && parent != null) {
fairSharePreemptionThreshold = parent.getFairSharePreemptionThreshold();
}
}
/**

58
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairScheduler.java
View File

@ -299,7 +299,7 @@ public class FairScheduler extends
*/
protected synchronized void update() {
long start = getClock().getTime();
updatePreemptionVariables(); // Determine if any queues merit preemption
updateStarvationStats(); // Determine if any queues merit preemption
FSQueue rootQueue = queueMgr.getRootQueue();
@ -329,48 +329,20 @@ public class FairScheduler extends
/**
* Update the preemption fields for all QueueScheduables, i.e. the times since
* each queue last was at its guaranteed share and at > 1/2 of its fair share
* for each type of task.
* each queue last was at its guaranteed share and over its fair share
* threshold for each type of task.
*/
private void updatePreemptionVariables() {
long now = getClock().getTime();
lastPreemptionUpdateTime = now;
private void updateStarvationStats() {
lastPreemptionUpdateTime = clock.getTime();
for (FSLeafQueue sched : queueMgr.getLeafQueues()) {
if (!isStarvedForMinShare(sched)) {
sched.setLastTimeAtMinShare(now);
sched.updateStarvationStats();
}
if (!isStarvedForFairShare(sched)) {
sched.setLastTimeAtHalfFairShare(now);
}
}
}
/**
* Is a queue below its min share for the given task type?
*/
boolean isStarvedForMinShare(FSLeafQueue sched) {
Resource desiredShare = Resources.min(RESOURCE_CALCULATOR, clusterResource,
sched.getMinShare(), sched.getDemand());
return Resources.lessThan(RESOURCE_CALCULATOR, clusterResource,
sched.getResourceUsage(), desiredShare);
}
/**
* Is a queue being starved for fair share for the given task type? This is
* defined as being below half its fair share.
*/
boolean isStarvedForFairShare(FSLeafQueue sched) {
Resource desiredFairShare = Resources.min(RESOURCE_CALCULATOR,
clusterResource,
Resources.multiply(sched.getFairShare(), .5), sched.getDemand());
return Resources.lessThan(RESOURCE_CALCULATOR, clusterResource,
sched.getResourceUsage(), desiredFairShare);
}
/**
* Check for queues that need tasks preempted, either because they have been
* below their guaranteed share for minSharePreemptionTimeout or they have
* been below half their fair share for the fairSharePreemptionTimeout. If
* been below their fair share threshold for the fairSharePreemptionTimeout. If
* such queues exist, compute how many tasks of each type need to be preempted
* and then select the right ones using preemptTasks.
*/
@ -499,11 +471,11 @@ public class FairScheduler extends
* Return the resource amount that this queue is allowed to preempt, if any.
* If the queue has been below its min share for at least its preemption
* timeout, it should preempt the difference between its current share and
* this min share. If it has been below half its fair share for at least the
* fairSharePreemptionTimeout, it should preempt enough tasks to get up to its
* full fair share. If both conditions hold, we preempt the max of the two
* amounts (this shouldn't happen unless someone sets the timeouts to be
* identical for some reason).
* this min share. If it has been below its fair share preemption threshold
* for at least the fairSharePreemptionTimeout, it should preempt enough tasks
* to get up to its full fair share. If both conditions hold, we preempt the
* max of the two amounts (this shouldn't happen unless someone sets the
* timeouts to be identical for some reason).
*/
protected Resource resToPreempt(FSLeafQueue sched, long curTime) {
long minShareTimeout = sched.getMinSharePreemptionTimeout();
@ -516,7 +488,7 @@ public class FairScheduler extends
resDueToMinShare = Resources.max(RESOURCE_CALCULATOR, clusterResource,
Resources.none(), Resources.subtract(target, sched.getResourceUsage()));
}
if (curTime - sched.getLastTimeAtHalfFairShare() > fairShareTimeout) {
if (curTime - sched.getLastTimeAtFairShareThreshold() > fairShareTimeout) {
Resource target = Resources.min(RESOURCE_CALCULATOR, clusterResource,
sched.getFairShare(), sched.getDemand());
resDueToFairShare = Resources.max(RESOURCE_CALCULATOR, clusterResource,
@ -1095,6 +1067,10 @@ public class FairScheduler extends
return super.getApplicationAttempt(appAttemptId);
}
public static ResourceCalculator getResourceCalculator() {
return RESOURCE_CALCULATOR;
}
/**
* Subqueue metrics might be a little out of date because fair shares are
* recalculated at the update interval, but the root queue metrics needs to

32
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/QueueManager.java
View File

@ -181,7 +181,7 @@ public class QueueManager {
parent.addChildQueue(leafQueue);
queues.put(leafQueue.getName(), leafQueue);
leafQueues.add(leafQueue);
setPreemptionTimeout(leafQueue, parent, queueConf);
leafQueue.updatePreemptionVariables();
return leafQueue;
} else {
FSParentQueue newParent = new FSParentQueue(queueName, scheduler, parent);
@ -193,7 +193,7 @@ public class QueueManager {
}
parent.addChildQueue(newParent);
queues.put(newParent.getName(), newParent);
setPreemptionTimeout(newParent, parent, queueConf);
newParent.updatePreemptionVariables();
parent = newParent;
}
}
@ -201,29 +201,6 @@ public class QueueManager {
return parent;
}
/**
* Set the min/fair share preemption timeouts for the given queue.
* If the timeout is configured in the allocation file, the queue will use
* that value; otherwise, the queue inherits the value from its parent queue.
*/
private void setPreemptionTimeout(FSQueue queue,
FSParentQueue parentQueue, AllocationConfiguration queueConf) {
// For min share
long minSharePreemptionTimeout =
queueConf.getMinSharePreemptionTimeout(queue.getQueueName());
if (minSharePreemptionTimeout == -1) {
minSharePreemptionTimeout = parentQueue.getMinSharePreemptionTimeout();
}
queue.setMinSharePreemptionTimeout(minSharePreemptionTimeout);
// For fair share
long fairSharePreemptionTimeout =
queueConf.getFairSharePreemptionTimeout(queue.getQueueName());
if (fairSharePreemptionTimeout == -1) {
fairSharePreemptionTimeout = parentQueue.getFairSharePreemptionTimeout();
}
queue.setFairSharePreemptionTimeout(fairSharePreemptionTimeout);
}
/**
* Make way for the given queue if possible, by removing incompatible
* queues with no apps in them. Incompatibility could be due to
@ -409,7 +386,8 @@ public class QueueManager {
// Update steady fair shares for all queues
rootQueue.recomputeSteadyShares();
// Update the fair share preemption timeouts for all queues recursively
rootQueue.updatePreemptionTimeouts();
// Update the fair share preemption timeouts and preemption for all queues
// recursively
rootQueue.updatePreemptionVariables();
}
}

45
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/TestAllocationFileLoaderService.java
View File

@ -187,13 +187,15 @@ public class TestAllocationFileLoaderService {
out.println("<queue name=\"queueF\" type=\"parent\" >");
out.println("</queue>");
// Create hierarchical queues G,H, with different min/fair share preemption
// timeouts
// timeouts and preemption thresholds
out.println("<queue name=\"queueG\">");
out.println("<fairSharePreemptionTimeout>120</fairSharePreemptionTimeout>");
out.println("<minSharePreemptionTimeout>50</minSharePreemptionTimeout>");
out.println("<fairSharePreemptionThreshold>0.6</fairSharePreemptionThreshold>");
out.println(" <queue name=\"queueH\">");
out.println(" <fairSharePreemptionTimeout>180</fairSharePreemptionTimeout>");
out.println(" <minSharePreemptionTimeout>40</minSharePreemptionTimeout>");
out.println(" <fairSharePreemptionThreshold>0.7</fairSharePreemptionThreshold>");
out.println(" </queue>");
out.println("</queue>");
// Set default limit of apps per queue to 15
@ -211,6 +213,8 @@ public class TestAllocationFileLoaderService {
+ "</defaultMinSharePreemptionTimeout>");
// Set default fair share preemption timeout to 5 minutes
out.println("<defaultFairSharePreemptionTimeout>300</defaultFairSharePreemptionTimeout>");
// Set default fair share preemption threshold to 0.4
out.println("<defaultFairSharePreemptionThreshold>0.4</defaultFairSharePreemptionThreshold>");
// Set default scheduling policy to DRF
out.println("<defaultQueueSchedulingPolicy>drf</defaultQueueSchedulingPolicy>");
out.println("</allocations>");
@ -299,6 +303,26 @@ public class TestAllocationFileLoaderService {
assertEquals(120000, queueConf.getFairSharePreemptionTimeout("root.queueG"));
assertEquals(180000, queueConf.getFairSharePreemptionTimeout("root.queueG.queueH"));
assertEquals(.4f, queueConf.getFairSharePreemptionThreshold("root"), 0.01);
assertEquals(-1, queueConf.getFairSharePreemptionThreshold("root." +
YarnConfiguration.DEFAULT_QUEUE_NAME), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueA"), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueB"), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueC"), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueD"), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueE"), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueF"), 0.01);
assertEquals(.6f,
queueConf.getFairSharePreemptionThreshold("root.queueG"), 0.01);
assertEquals(.7f,
queueConf.getFairSharePreemptionThreshold("root.queueG.queueH"), 0.01);
assertTrue(queueConf.getConfiguredQueues()
.get(FSQueueType.PARENT)
.contains("root.queueF"));
@ -346,9 +370,10 @@ public class TestAllocationFileLoaderService {
out.println("<pool name=\"queueD\">");
out.println("<maxRunningApps>3</maxRunningApps>");
out.println("</pool>");
// Give queue E a preemption timeout of one minute
// Give queue E a preemption timeout of one minute and 0.3f threshold
out.println("<pool name=\"queueE\">");
out.println("<minSharePreemptionTimeout>60</minSharePreemptionTimeout>");
out.println("<fairSharePreemptionThreshold>0.3</fairSharePreemptionThreshold>");
out.println("</pool>");
// Set default limit of apps per queue to 15
out.println("<queueMaxAppsDefault>15</queueMaxAppsDefault>");
@ -363,6 +388,8 @@ public class TestAllocationFileLoaderService {
+ "</defaultMinSharePreemptionTimeout>");
// Set fair share preemption timeout to 5 minutes
out.println("<fairSharePreemptionTimeout>300</fairSharePreemptionTimeout>");
// Set default fair share preemption threshold to 0.6f
out.println("<defaultFairSharePreemptionThreshold>0.6</defaultFairSharePreemptionThreshold>");
out.println("</allocations>");
out.close();
@ -429,6 +456,20 @@ public class TestAllocationFileLoaderService {
assertEquals(-1, queueConf.getFairSharePreemptionTimeout("root.queueC"));
assertEquals(-1, queueConf.getFairSharePreemptionTimeout("root.queueD"));
assertEquals(-1, queueConf.getFairSharePreemptionTimeout("root.queueE"));
assertEquals(.6f, queueConf.getFairSharePreemptionThreshold("root"), 0.01);
assertEquals(-1, queueConf.getFairSharePreemptionThreshold("root."
+ YarnConfiguration.DEFAULT_QUEUE_NAME), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueA"), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueB"), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueC"), 0.01);
assertEquals(-1,
queueConf.getFairSharePreemptionThreshold("root.queueD"), 0.01);
assertEquals(.3f,
queueConf.getFairSharePreemptionThreshold("root.queueE"), 0.01);
}
@Test

196
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/TestFSLeafQueue.java
View File

@ -18,50 +18,66 @@
package org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.Collection;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.yarn.api.records.Resource;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.event.AsyncDispatcher;
import org.apache.hadoop.yarn.server.resourcemanager.ResourceManager;
import org.apache.hadoop.yarn.server.resourcemanager.MockNodes;
import org.apache.hadoop.yarn.server.resourcemanager.MockRM;
import org.apache.hadoop.yarn.server.resourcemanager.rmnode.RMNode;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceScheduler;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.event.NodeAddedSchedulerEvent;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.event.NodeUpdateSchedulerEvent;
import org.apache.hadoop.yarn.util.resource.Resources;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.mockito.Mockito;
public class TestFSLeafQueue {
private FSLeafQueue schedulable = null;
private Resource maxResource = Resources.createResource(10);
public class TestFSLeafQueue extends FairSchedulerTestBase {
private final static String ALLOC_FILE = new File(TEST_DIR,
TestFSLeafQueue.class.getName() + ".xml").getAbsolutePath();
private Resource maxResource = Resources.createResource(1024 * 8);
@Before
public void setup() throws IOException {
FairScheduler scheduler = new FairScheduler();
Configuration conf = createConfiguration();
// All tests assume only one assignment per node update
conf.set(FairSchedulerConfiguration.ASSIGN_MULTIPLE, "false");
ResourceManager resourceManager = new ResourceManager();
resourceManager.init(conf);
((AsyncDispatcher)resourceManager.getRMContext().getDispatcher()).start();
scheduler.init(conf);
scheduler.start();
scheduler.reinitialize(conf, resourceManager.getRMContext());
conf = createConfiguration();
conf.setClass(YarnConfiguration.RM_SCHEDULER, FairScheduler.class,
ResourceScheduler.class);
}
String queueName = "root.queue1";
scheduler.allocConf = mock(AllocationConfiguration.class);
when(scheduler.allocConf.getMaxResources(queueName)).thenReturn(maxResource);
when(scheduler.allocConf.getMinResources(queueName)).thenReturn(Resources.none());
schedulable = new FSLeafQueue(queueName, scheduler, null);
@After
public void teardown() {
if (resourceManager != null) {
resourceManager.stop();
resourceManager = null;
}
conf = null;
}
@Test
public void testUpdateDemand() {
conf.set(FairSchedulerConfiguration.ASSIGN_MULTIPLE, "false");
resourceManager = new MockRM(conf);
resourceManager.start();
scheduler = (FairScheduler) resourceManager.getResourceScheduler();
scheduler.allocConf = mock(AllocationConfiguration.class);
String queueName = "root.queue1";
when(scheduler.allocConf.getMaxResources(queueName)).thenReturn(maxResource);
when(scheduler.allocConf.getMinResources(queueName)).thenReturn(Resources.none());
FSLeafQueue schedulable = new FSLeafQueue(queueName, scheduler, null);
FSAppAttempt app = mock(FSAppAttempt.class);
Mockito.when(app.getDemand()).thenReturn(maxResource);
@ -74,10 +90,136 @@ public class TestFSLeafQueue {
Resources.equals(schedulable.getDemand(), maxResource));
}
private Configuration createConfiguration() {
Configuration conf = new YarnConfiguration();
conf.setClass(YarnConfiguration.RM_SCHEDULER, FairScheduler.class,
ResourceScheduler.class);
return conf;
@Test (timeout = 5000)
public void test() throws Exception {
conf.set(FairSchedulerConfiguration.ALLOCATION_FILE, ALLOC_FILE);
PrintWriter out = new PrintWriter(new FileWriter(ALLOC_FILE));
out.println("<?xml version=\"1.0\"?>");
out.println("<allocations>");
out.println("<queue name=\"queueA\">");
out.println("<minResources>2048mb,0vcores</minResources>");
out.println("</queue>");
out.println("<queue name=\"queueB\">");
out.println("<minResources>2048mb,0vcores</minResources>");
out.println("</queue>");
out.println("</allocations>");
out.close();
resourceManager = new MockRM(conf);
resourceManager.start();
scheduler = (FairScheduler) resourceManager.getResourceScheduler();
// Add one big node (only care about aggregate capacity)
RMNode node1 =
MockNodes.newNodeInfo(1, Resources.createResource(4 * 1024, 4), 1,
"127.0.0.1");
NodeAddedSchedulerEvent nodeEvent1 = new NodeAddedSchedulerEvent(node1);
scheduler.handle(nodeEvent1);
scheduler.update();
// Queue A wants 3 * 1024. Node update gives this all to A
createSchedulingRequest(3 * 1024, "queueA", "user1");
scheduler.update();
NodeUpdateSchedulerEvent nodeEvent2 = new NodeUpdateSchedulerEvent(node1);
scheduler.handle(nodeEvent2);
// Queue B arrives and wants 1 * 1024
createSchedulingRequest(1 * 1024, "queueB", "user1");
scheduler.update();
Collection<FSLeafQueue> queues = scheduler.getQueueManager().getLeafQueues();
assertEquals(3, queues.size());
// Queue A should be above min share, B below.
FSLeafQueue queueA =
scheduler.getQueueManager().getLeafQueue("queueA", false);
FSLeafQueue queueB =
scheduler.getQueueManager().getLeafQueue("queueB", false);
assertFalse(queueA.isStarvedForMinShare());
assertTrue(queueB.isStarvedForMinShare());
// Node checks in again, should allocate for B
scheduler.handle(nodeEvent2);
// Now B should have min share ( = demand here)
assertFalse(queueB.isStarvedForMinShare());
}
@Test (timeout = 5000)
public void testIsStarvedForFairShare() throws Exception {
conf.set(FairSchedulerConfiguration.ALLOCATION_FILE, ALLOC_FILE);
PrintWriter out = new PrintWriter(new FileWriter(ALLOC_FILE));
out.println("<?xml version=\"1.0\"?>");
out.println("<allocations>");
out.println("<queue name=\"queueA\">");
out.println("<weight>.2</weight>");
out.println("</queue>");
out.println("<queue name=\"queueB\">");
out.println("<weight>.8</weight>");
out.println("<fairSharePreemptionThreshold>.4</fairSharePreemptionThreshold>");
out.println("<queue name=\"queueB1\">");
out.println("</queue>");
out.println("<queue name=\"queueB2\">");
out.println("<fairSharePreemptionThreshold>.6</fairSharePreemptionThreshold>");
out.println("</queue>");
out.println("</queue>");
out.println("<defaultFairSharePreemptionThreshold>.5</defaultFairSharePreemptionThreshold>");
out.println("</allocations>");
out.close();
resourceManager = new MockRM(conf);
resourceManager.start();
scheduler = (FairScheduler) resourceManager.getResourceScheduler();
// Add one big node (only care about aggregate capacity)
RMNode node1 =
MockNodes.newNodeInfo(1, Resources.createResource(10 * 1024, 10), 1,
"127.0.0.1");
NodeAddedSchedulerEvent nodeEvent1 = new NodeAddedSchedulerEvent(node1);
scheduler.handle(nodeEvent1);
scheduler.update();
// Queue A wants 4 * 1024. Node update gives this all to A
createSchedulingRequest(1 * 1024, "queueA", "user1", 4);
scheduler.update();
NodeUpdateSchedulerEvent nodeEvent2 = new NodeUpdateSchedulerEvent(node1);
for (int i = 0; i < 4; i ++) {
scheduler.handle(nodeEvent2);
}
QueueManager queueMgr = scheduler.getQueueManager();
FSLeafQueue queueA = queueMgr.getLeafQueue("queueA", false);
assertEquals(4 * 1024, queueA.getResourceUsage().getMemory());
// Both queue B1 and queue B2 want 3 * 1024
createSchedulingRequest(1 * 1024, "queueB.queueB1", "user1", 3);
createSchedulingRequest(1 * 1024, "queueB.queueB2", "user1", 3);
scheduler.update();
for (int i = 0; i < 4; i ++) {
scheduler.handle(nodeEvent2);
}
FSLeafQueue queueB1 = queueMgr.getLeafQueue("queueB.queueB1", false);
FSLeafQueue queueB2 = queueMgr.getLeafQueue("queueB.queueB2", false);
assertEquals(2 * 1024, queueB1.getResourceUsage().getMemory());
assertEquals(2 * 1024, queueB2.getResourceUsage().getMemory());
// For queue B1, the fairSharePreemptionThreshold is 0.4, and the fair share
// threshold is 1.6 * 1024
assertFalse(queueB1.isStarvedForFairShare());
// For queue B2, the fairSharePreemptionThreshold is 0.6, and the fair share
// threshold is 2.4 * 1024
assertTrue(queueB2.isStarvedForFairShare());
// Node checks in again
scheduler.handle(nodeEvent2);
scheduler.handle(nodeEvent2);
assertEquals(3 * 1024, queueB1.getResourceUsage().getMemory());
assertEquals(3 * 1024, queueB2.getResourceUsage().getMemory());
// Both queue B1 and queue B2 usages go to 3 * 1024
assertFalse(queueB1.isStarvedForFairShare());
assertFalse(queueB2.isStarvedForFairShare());
}
}

158
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/TestFairScheduler.java
View File

@ -1061,9 +1061,11 @@ public class TestFairScheduler extends FairSchedulerTestBase {
out.println(" </queue>");
out.println(" <fairSharePreemptionTimeout>100</fairSharePreemptionTimeout>");
out.println(" <minSharePreemptionTimeout>120</minSharePreemptionTimeout>");
out.println(" <fairSharePreemptionThreshold>.5</fairSharePreemptionThreshold>");
out.println("</queue>");
out.println("<defaultFairSharePreemptionTimeout>300</defaultFairSharePreemptionTimeout>");
out.println("<defaultMinSharePreemptionTimeout>200</defaultMinSharePreemptionTimeout>");
out.println("<defaultFairSharePreemptionThreshold>.6</defaultFairSharePreemptionThreshold>");
out.println("</allocations>");
out.close();
@ -1080,125 +1082,7 @@ public class TestFairScheduler extends FairSchedulerTestBase {
assertEquals(100000, root.getFairSharePreemptionTimeout());
assertEquals(120000, root.getMinSharePreemptionTimeout());
}
@Test (timeout = 5000)
public void testIsStarvedForMinShare() throws Exception {
conf.set(FairSchedulerConfiguration.ALLOCATION_FILE, ALLOC_FILE);
PrintWriter out = new PrintWriter(new FileWriter(ALLOC_FILE));
out.println("<?xml version=\"1.0\"?>");
out.println("<allocations>");
out.println("<queue name=\"queueA\">");
out.println("<minResources>2048mb,0vcores</minResources>");
out.println("</queue>");
out.println("<queue name=\"queueB\">");
out.println("<minResources>2048mb,0vcores</minResources>");
out.println("</queue>");
out.println("</allocations>");
out.close();
scheduler.init(conf);
scheduler.start();
scheduler.reinitialize(conf, resourceManager.getRMContext());
// Add one big node (only care about aggregate capacity)
RMNode node1 =
MockNodes.newNodeInfo(1, Resources.createResource(4 * 1024, 4), 1,
"127.0.0.1");
NodeAddedSchedulerEvent nodeEvent1 = new NodeAddedSchedulerEvent(node1);
scheduler.handle(nodeEvent1);
// Queue A wants 3 * 1024. Node update gives this all to A
createSchedulingRequest(3 * 1024, "queueA", "user1");
scheduler.update();
NodeUpdateSchedulerEvent nodeEvent2 = new NodeUpdateSchedulerEvent(node1);
scheduler.handle(nodeEvent2);
// Queue B arrives and wants 1 * 1024
createSchedulingRequest(1 * 1024, "queueB", "user1");
scheduler.update();
Collection<FSLeafQueue> queues = scheduler.getQueueManager().getLeafQueues();
assertEquals(3, queues.size());
// Queue A should be above min share, B below.
for (FSLeafQueue p : queues) {
if (p.getName().equals("root.queueA")) {
assertEquals(false, scheduler.isStarvedForMinShare(p));
}
else if (p.getName().equals("root.queueB")) {
assertEquals(true, scheduler.isStarvedForMinShare(p));
}
}
// Node checks in again, should allocate for B
scheduler.handle(nodeEvent2);
// Now B should have min share ( = demand here)
for (FSLeafQueue p : queues) {
if (p.getName().equals("root.queueB")) {
assertEquals(false, scheduler.isStarvedForMinShare(p));
}
}
}
@Test (timeout = 5000)
public void testIsStarvedForFairShare() throws Exception {
conf.set(FairSchedulerConfiguration.ALLOCATION_FILE, ALLOC_FILE);
PrintWriter out = new PrintWriter(new FileWriter(ALLOC_FILE));
out.println("<?xml version=\"1.0\"?>");
out.println("<allocations>");
out.println("<queue name=\"queueA\">");
out.println("<weight>.25</weight>");
out.println("</queue>");
out.println("<queue name=\"queueB\">");
out.println("<weight>.75</weight>");
out.println("</queue>");
out.println("</allocations>");
out.close();
scheduler.init(conf);
scheduler.start();
scheduler.reinitialize(conf, resourceManager.getRMContext());
// Add one big node (only care about aggregate capacity)
RMNode node1 =
MockNodes.newNodeInfo(1, Resources.createResource(4 * 1024, 4), 1,
"127.0.0.1");
NodeAddedSchedulerEvent nodeEvent1 = new NodeAddedSchedulerEvent(node1);
scheduler.handle(nodeEvent1);
// Queue A wants 3 * 1024. Node update gives this all to A
createSchedulingRequest(3 * 1024, "queueA", "user1");
scheduler.update();
NodeUpdateSchedulerEvent nodeEvent2 = new NodeUpdateSchedulerEvent(node1);
scheduler.handle(nodeEvent2);
// Queue B arrives and wants 1 * 1024
createSchedulingRequest(1 * 1024, "queueB", "user1");
scheduler.update();
Collection<FSLeafQueue> queues = scheduler.getQueueManager().getLeafQueues();
assertEquals(3, queues.size());
// Queue A should be above fair share, B below.
for (FSLeafQueue p : queues) {
if (p.getName().equals("root.queueA")) {
assertEquals(false, scheduler.isStarvedForFairShare(p));
}
else if (p.getName().equals("root.queueB")) {
assertEquals(true, scheduler.isStarvedForFairShare(p));
}
}
// Node checks in again, should allocate for B
scheduler.handle(nodeEvent2);
// B should not be starved for fair share, since entire demand is
// satisfied.
for (FSLeafQueue p : queues) {
if (p.getName().equals("root.queueB")) {
assertEquals(false, scheduler.isStarvedForFairShare(p));
}
}
assertEquals(0.5f, root.getFairSharePreemptionThreshold(), 0.01);
}
@Test (timeout = 5000)
@ -1385,7 +1269,8 @@ public class TestFairScheduler extends FairSchedulerTestBase {
out.println("<queue name=\"queueB\">");
out.println("<weight>2</weight>");
out.println("</queue>");
out.print("<defaultFairSharePreemptionTimeout>10</defaultFairSharePreemptionTimeout>");
out.println("<defaultFairSharePreemptionTimeout>10</defaultFairSharePreemptionTimeout>");
out.println("<defaultFairSharePreemptionThreshold>.5</defaultFairSharePreemptionThreshold>");
out.println("</allocations>");
out.close();
@ -1468,8 +1353,9 @@ public class TestFairScheduler extends FairSchedulerTestBase {
out.println("<weight>.25</weight>");
out.println("<minResources>1024mb,0vcores</minResources>");
out.println("</queue>");
out.print("<defaultMinSharePreemptionTimeout>5</defaultMinSharePreemptionTimeout>");
out.print("<defaultFairSharePreemptionTimeout>10</defaultFairSharePreemptionTimeout>");
out.println("<defaultMinSharePreemptionTimeout>5</defaultMinSharePreemptionTimeout>");
out.println("<defaultFairSharePreemptionTimeout>10</defaultFairSharePreemptionTimeout>");
out.println("<defaultFairSharePreemptionThreshold>.5</defaultFairSharePreemptionThreshold>");
out.println("</allocations>");
out.close();
@ -1753,8 +1639,6 @@ public class TestFairScheduler extends FairSchedulerTestBase {
@Test
public void testBackwardsCompatiblePreemptionConfiguration() throws Exception {
conf.set(FairSchedulerConfiguration.ALLOCATION_FILE, ALLOC_FILE);
MockClock clock = new MockClock();
scheduler.setClock(clock);
PrintWriter out = new PrintWriter(new FileWriter(ALLOC_FILE));
out.println("<?xml version=\"1.0\"?>");
@ -1842,6 +1726,32 @@ public class TestFairScheduler extends FairSchedulerTestBase {
.getFairSharePreemptionTimeout());
}
@Test
public void testPreemptionVariablesForQueueCreatedRuntime() throws Exception {
conf.set(FairSchedulerConfiguration.USER_AS_DEFAULT_QUEUE, "true");
scheduler.init(conf);
scheduler.start();
scheduler.reinitialize(conf, resourceManager.getRMContext());
// Set preemption variables for the root queue
FSParentQueue root = scheduler.getQueueManager().getRootQueue();
root.setMinSharePreemptionTimeout(10000);
root.setFairSharePreemptionTimeout(15000);
root.setFairSharePreemptionThreshold(.6f);
// User1 submits one application
ApplicationAttemptId appAttemptId = createAppAttemptId(1, 1);
createApplicationWithAMResource(appAttemptId, "default", "user1", null);
// The user1 queue should inherit the configurations from the root queue
FSLeafQueue userQueue =
scheduler.getQueueManager().getLeafQueue("user1", true);
assertEquals(1, userQueue.getRunnableAppSchedulables().size());
assertEquals(10000, userQueue.getMinSharePreemptionTimeout());
assertEquals(15000, userQueue.getFairSharePreemptionTimeout());
assertEquals(.6f, userQueue.getFairSharePreemptionThreshold(), 0.001);
}
@Test (timeout = 5000)
public void testMultipleContainersWaitingForReservation() throws IOException {
scheduler.init(conf);

10
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/apt/FairScheduler.apt.vm
View File

@ -277,6 +277,12 @@ Allocation file format
threshold before it will try to preempt containers to take resources from other
queues. If not set, the queue will inherit the value from its parent queue.
* fairSharePreemptionThreshold: the fair share preemption threshold for the
queue. If the queue waits fairSharePreemptionTimeout without receiving
fairSharePreemptionThreshold*fairShare resources, it is allowed to preempt
containers to take resources from other queues. If not set, the queue will
inherit the value from its parent queue.
* <<User elements>>, which represent settings governing the behavior of individual
users. They can contain a single property: maxRunningApps, a limit on the
number of running apps for a particular user.
@ -292,6 +298,10 @@ Allocation file format
preemption timeout for the root queue; overridden by minSharePreemptionTimeout
element in root queue.
* <<A defaultFairSharePreemptionThreshold element>>, which sets the fair share
preemption threshold for the root queue; overridden by fairSharePreemptionThreshold
element in root queue.
* <<A queueMaxAppsDefault element>>, which sets the default running app limit
for queues; overriden by maxRunningApps element in each queue.