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https://issues.apache.org/jira/browse/YARN-3448?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14531612#comment-14531612
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Hadoop QA commented on YARN-3448:
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| (/) *{color:green}+1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch | 15m 1s | Pre-patch trunk compilation is
healthy. |
| {color:green}+1{color} | @author | 0m 0s | The patch does not contain any
@author tags. |
| {color:green}+1{color} | tests included | 0m 0s | The patch appears to
include 4 new or modified test files. |
| {color:green}+1{color} | javac | 7m 50s | There were no new javac warning
messages. |
| {color:green}+1{color} | javadoc | 9m 51s | There were no new javadoc
warning messages. |
| {color:green}+1{color} | release audit | 0m 23s | The applied patch does
not increase the total number of release audit warnings. |
| {color:green}+1{color} | checkstyle | 1m 24s | There were no new checkstyle
issues. |
| {color:green}+1{color} | whitespace | 0m 2s | The patch has no lines that
end in whitespace. |
| {color:green}+1{color} | install | 1m 36s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse | 0m 33s | The patch built with
eclipse:eclipse. |
| {color:green}+1{color} | findbugs | 2m 11s | The patch does not introduce
any new Findbugs (version 2.0.3) warnings. |
| {color:green}+1{color} | yarn tests | 0m 23s | Tests passed in
hadoop-yarn-api. |
| {color:green}+1{color} | yarn tests | 3m 9s | Tests passed in
hadoop-yarn-server-applicationhistoryservice. |
| | | 42m 27s | |
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|| Subsystem || Report/Notes ||
| Patch URL |
http://issues.apache.org/jira/secure/attachment/12730980/YARN-3448.17.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / b725078 |
| hadoop-yarn-api test log |
https://builds.apache.org/job/PreCommit-YARN-Build/7742/artifact/patchprocess/testrun_hadoop-yarn-api.txt
|
| hadoop-yarn-server-applicationhistoryservice test log |
https://builds.apache.org/job/PreCommit-YARN-Build/7742/artifact/patchprocess/testrun_hadoop-yarn-server-applicationhistoryservice.txt
|
| Test Results |
https://builds.apache.org/job/PreCommit-YARN-Build/7742/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf904.gq1.ygridcore.net 3.13.0-36-lowlatency #63-Ubuntu SMP
PREEMPT Wed Sep 3 21:56:12 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux |
| Console output |
https://builds.apache.org/job/PreCommit-YARN-Build/7742/console |
This message was automatically generated.
> Add Rolling Time To Lives Level DB Plugin Capabilities
> ------------------------------------------------------
>
> Key: YARN-3448
> URL: https://issues.apache.org/jira/browse/YARN-3448
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: timelineserver
> Reporter: Jonathan Eagles
> Assignee: Jonathan Eagles
> Labels: BB2015-05-TBR
> Attachments: YARN-3448.1.patch, YARN-3448.10.patch,
> YARN-3448.12.patch, YARN-3448.13.patch, YARN-3448.14.patch,
> YARN-3448.15.patch, YARN-3448.16.patch, YARN-3448.17.patch,
> YARN-3448.2.patch, YARN-3448.3.patch, YARN-3448.4.patch, YARN-3448.5.patch,
> YARN-3448.7.patch, YARN-3448.8.patch, YARN-3448.9.patch
>
>
> For large applications, the majority of the time in LeveldbTimelineStore is
> spent deleting old entities record at a time. An exclusive write lock is held
> during the entire deletion phase which in practice can be hours. If we are to
> relax some of the consistency constraints, other performance enhancing
> techniques can be employed to maximize the throughput and minimize locking
> time.
> Split the 5 sections of the leveldb database (domain, owner, start time,
> entity, index) into 5 separate databases. This allows each database to
> maximize the read cache effectiveness based on the unique usage patterns of
> each database. With 5 separate databases each lookup is much faster. This can
> also help with I/O to have the entity and index databases on separate disks.
> Rolling DBs for entity and index DBs. 99.9% of the data are in these two
> sections 4:1 ration (index to entity) at least for tez. We replace DB record
> removal with file system removal if we create a rolling set of databases that
> age out and can be efficiently removed. To do this we must place a constraint
> to always place an entity's events into it's correct rolling db instance
> based on start time. This allows us to stitching the data back together while
> reading and artificial paging.
> Relax the synchronous writes constraints. If we are willing to accept losing
> some records that we not flushed in the operating system during a crash, we
> can use async writes that can be much faster.
> Prefer Sequential writes. sequential writes can be several times faster than
> random writes. Spend some small effort arranging the writes in such a way
> that will trend towards sequential write performance over random write
> performance.
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