[
https://issues.apache.org/jira/browse/YARN-5683?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tao Yang updated YARN-5683:
---------------------------
Description:
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.
* 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. (MapReduce add
configurations: mapreduce.job.local-storage-type and
mapreduce.job.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.png!
h3. Further Discussion
* The requirement of storage type for local/log directories may not be
satisfied on heterogeneous clusters. To achieve global optimum, scheduler
should aware and manage disk resources.
[YARN-2139|https://issues.apache.org/jira/browse/YARN-2139] is close to that
but seems not support multiple storage types, maybe we should do even more to
aware the storage type of disk resource?
* Node labels or node constraints
([YARN-3409|https://issues.apache.org/jira/browse/YARN-3409]) can also make a
higher chance to satisfy the requirement of specified storage type.
* 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?
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.
was:
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.
* 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. (MapReduce add
configurations: mapreduce.job.local-storage-type and
mapreduce.job.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.png!
h3. Further Discussion
* The requirement of storage type for local/log directories may not be
satisfied on heterogeneous clusters. To achieve global optimum, scheduler
should aware and manage disk resources.
[YARN-2139|https://issues.apache.org/jira/browse/YARN-2139] is close to that
but seems not support multiple storage types, maybe we should do even more to
aware the storage type of disk resource?
* Node labels or node constraints
([YARN-3409|https://issues.apache.org/jira/browse/YARN-3409]) can also make a
higher chance to satisfy the requirement of specified storage type.
* 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?
> 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
> Fix For: 3.0.0-alpha2
>
> Attachments: YARN-5683-1.patch, flow_diagram_for_MapReduce.png
>
>
> 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.
> * 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. (MapReduce add
> configurations: mapreduce.job.local-storage-type and
> mapreduce.job.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.png!
> h3. Further Discussion
> * The requirement of storage type for local/log directories may not be
> satisfied on heterogeneous clusters. To achieve global optimum, scheduler
> should aware and manage disk resources.
> [YARN-2139|https://issues.apache.org/jira/browse/YARN-2139] is close to that
> but seems not support multiple storage types, maybe we should do even more to
> aware the storage type of disk resource?
> * Node labels or node constraints
> ([YARN-3409|https://issues.apache.org/jira/browse/YARN-3409]) can also make a
> higher chance to satisfy the requirement of specified storage type.
> * 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?
> 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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