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https://issues.apache.org/jira/browse/YARN-7732?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Young Chen updated YARN-7732:
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Attachment: YARN-7732.05.patch
> Support Generic AM Simulator from SynthGenerator
> ------------------------------------------------
>
> Key: YARN-7732
> URL: https://issues.apache.org/jira/browse/YARN-7732
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: scheduler-load-simulator
> Reporter: Young Chen
> Assignee: Young Chen
> Priority: Minor
> Attachments: YARN-7732-YARN-7798.01.patch,
> YARN-7732-YARN-7798.02.patch, YARN-7732.01.patch, YARN-7732.02.patch,
> YARN-7732.03.patch, YARN-7732.04.patch, YARN-7732.05.patch
>
>
> Extract the MapReduce specific set-up in the SLSRunner into the
> MRAMSimulator, and enable support for pluggable AMSimulators.
> Previously, the AM set up in SLSRunner had the MRAMSimulator type hard coded,
> for example startAMFromSynthGenerator() calls this:
>
> {code:java}
> runNewAM(SLSUtils.DEFAULT_JOB_TYPE, user, jobQueue, oldJobId,
> jobStartTimeMS, jobFinishTimeMS, containerList, reservationId,
> job.getDeadline(), getAMContainerResource(null));
> {code}
> where SLSUtils.DEFAULT_JOB_TYPE = "mapreduce"
> The container set up was also only suitable for mapreduce:
>
> {code:java}
> Version:1.0 StartHTML:000000286 EndHTML:000012564 StartFragment:000003634
> EndFragment:000012474 StartSelection:000003700 EndSelection:000012464
> SourceURL:https://github.com/apache/hadoop/blob/trunk/hadoop-tools/hadoop-sls/src/main/java/org/apache/hadoop/yarn/sls/SLSRunner.java
>
> // map tasks
> for (int i = 0; i < job.getNumberMaps(); i++) {
> TaskAttemptInfo tai = job.getTaskAttemptInfo(TaskType.MAP, i, 0);
> RMNode node =
> nmMap.get(keyAsArray.get(rand.nextInt(keyAsArray.size())))
> .getNode();
> String hostname = "/" + node.getRackName() + "/" + node.getHostName();
> long containerLifeTime = tai.getRuntime();
> Resource containerResource =
> Resource.newInstance((int) tai.getTaskInfo().getTaskMemory(),
> (int) tai.getTaskInfo().getTaskVCores());
> containerList.add(new ContainerSimulator(containerResource,
> containerLifeTime, hostname, DEFAULT_MAPPER_PRIORITY, "map"));
> }
> // reduce tasks
> for (int i = 0; i < job.getNumberReduces(); i++) {
> TaskAttemptInfo tai = job.getTaskAttemptInfo(TaskType.REDUCE, i, 0);
> RMNode node =
> nmMap.get(keyAsArray.get(rand.nextInt(keyAsArray.size())))
> .getNode();
> String hostname = "/" + node.getRackName() + "/" + node.getHostName();
> long containerLifeTime = tai.getRuntime();
> Resource containerResource =
> Resource.newInstance((int) tai.getTaskInfo().getTaskMemory(),
> (int) tai.getTaskInfo().getTaskVCores());
> containerList.add(
> new ContainerSimulator(containerResource, containerLifeTime,
> hostname, DEFAULT_REDUCER_PRIORITY, "reduce"));
> }
> {code}
>
> In addition, the syn.json format supported only mapreduce (the parameters
> were very specific: mtime, rtime, mtasks, rtasks, etc..).
> This patch aims to introduce a new syn.json format that can describe generic
> jobs, and the SLS setup required to support the synth generation of generic
> jobs.
> See syn_generic.json for an equivalent of the previous syn.json in the new
> format.
> Using the new generic format, we describe a StreamAMSimulator simulates a
> long running streaming service that maintains N number of containers for the
> lifetime of the AM. See syn_stream.json.
>
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