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https://issues.apache.org/jira/browse/YARN-5683?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16184925#comment-16184925
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Hadoop QA commented on YARN-5683:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
0s{color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 5s{color}
| {color:red} YARN-5683 does not apply to trunk. Rebase required? Wrong Branch?
See https://wiki.apache.org/hadoop/HowToContribute for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Issue | YARN-5683 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12832871/YARN-5683-3.patch |
| Console output |
https://builds.apache.org/job/PreCommit-YARN-Build/17690/console |
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> Support specifying storage type for per-application local dirs
> --------------------------------------------------------------
>
> Key: YARN-5683
> URL: https://issues.apache.org/jira/browse/YARN-5683
> Project: Hadoop YARN
> Issue Type: New Feature
> Components: nodemanager
> Affects Versions: 3.0.0-alpha2
> Reporter: Tao Yang
> Assignee: Tao Yang
> Labels: oct16-hard
> Attachments: flow_diagram_for_MapReduce-2.png,
> flow_diagram_for_MapReduce.png, YARN-5683-1.patch, YARN-5683-2.patch,
> YARN-5683-3.patch
>
>
> h3. Introduction
> * Some applications of various frameworks (Flink, Spark and MapReduce etc)
> using local storage (checkpoint, shuffle etc) might require high IO
> performance. It's useful to allocate local directories to high performance
> storage media for these applications on heterogeneous clusters.
> * YARN does not distinguish different storage types and hence applications
> cannot selectively use storage media with different performance
> characteristics. Adding awareness of storage media can allow YARN to make
> better decisions about the placement of local directories.
> h3. Approach
> * NodeManager will distinguish storage types for local directories.
> ** yarn.nodemanager.local-dirs and yarn.nodemanager.log-dirs configuration
> should allow the cluster administrator to optionally specify the storage type
> for each local directories. Example:
> [SSD]/disk1/nm-local-dir,/disk2/nm-local-dir,/disk3/nm-local-dir (equals to
> [SSD]/disk1/nm-local-dir,[DISK]/disk2/nm-local-dir,[DISK]/disk3/nm-local-dir)
> ** StorageType defines DISK/SSD storage types and takes DISK as the default
> storage type.
> ** StorageLocation separates storage type and directory path, used by
> LocalDirAllocator to aware the types of local dirs, the default storage type
> is DISK.
> ** getLocalPathForWrite method of LocalDirAllcator will prefer to choose the
> local directory of the specified storage type, and will fallback to not care
> storage type if the requirement can not be satisfied.
> ** Support for container related local/log directories by ContainerLaunch.
> All application frameworks can set the environment variables
> (LOCAL_STORAGE_TYPE and LOG_STORAGE_TYPE) to specified the desired storage
> type of local/log directories, and choose to not launch container if fallback
> through these environment variables (ENSURE_LOCAL_STORAGE_TYPE and
> ENSURE_LOG_STORAGE_TYPE).
> * Allow specified storage type for various frameworks (Take MapReduce as an
> example)
> ** Add new configurations should allow application administrator to
> optionally specify the storage type of local/log directories and fallback
> strategy (MapReduce configurations: mapreduce.job.local-storage-type,
> mapreduce.job.log-storage-type, mapreduce.job.ensure-local-storage-type and
> mapreduce.job.ensure-log-storage-type).
> ** Support for container work directories. Set the environment variables
> includes LOCAL_STORAGE_TYPE and LOG_STORAGE_TYPE according to configurations
> above for ContainerLaunchContext and ApplicationSubmissionContext. (MapReduce
> should update YARNRunner and TaskAttemptImpl)
> ** Add storage type prefix for request path to support for other local
> directories of frameworks (such as shuffle directories for MapReduce).
> (MapReduce should update YarnOutputFiles, MROutputFiles and YarnChild to
> support for output/work directories)
> ** Flow diagram for MapReduce framework
> !flow_diagram_for_MapReduce-2.png!
> h3. Further Discussion
> * Scheduling : The requirement of storage type for local/log directories may
> not be satisfied for a part of nodes on heterogeneous clusters. To achieve
> global optimum, scheduler should aware and manage disk resources.
> ** Approach-1: Based on node attributes (YARN-3409), Scheduler can allocate
> containers which have SSD requirement on nodes with attribute:ssd=true.
> ** Approach-2: Based on extended resource model (YARN-3926), it's easy to
> support scheduling through extending resource models like vdisk and vssd
> using this feature, but hard to measure for applications and isolate for
> non-CFQ based disks.
> * Fallback strategy still needs to be concerned. Certain applications might
> not work well when the requirement of storage type is not satisfied. When
> none of desired storage type disk are available, should container launching
> be failed? let AM handle? We have implemented a fallback strategy that fail
> to launch container when none of desired storage type disk are available. Is
> there some better methods?
> This feature has been used for half a year to meet the needs of some
> applications on Alibaba search clusters.
> Please feel free to give your suggestions and opinions.
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