Haibo Chen created MAPREDUCE-7065:
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Summary: Improve information stored in ATSv2 for MR jobs
Key: MAPREDUCE-7065
URL: https://issues.apache.org/jira/browse/MAPREDUCE-7065
Project: Hadoop Map/Reduce
Issue Type: Improvement
Reporter: Haibo Chen
Assignee: Haibo Chen
While exploring the possibility of retrieving every piece of information that
JHS presents today through ATSv2, I found a few improvements we can make.
1) MR tasks are split by type in JHS, map tasks or reduce tasks. They are
indistinguishably stored as entities of type MR_TASK. We can split MR_TASK into
MR_REDUCE_TASK and MR_MAP_TASK. Similarly for MR_TASK_ATTEMPT
2) Task attempt final state are stored in the events, so we can not use
infofilter to group task attempts by final state, which is what JHS does.
3) Display names of counters are not stored in JHS. We are currently storing
(counter name, display name, value) as a metric (counter name, value). We can
potentially store (counter name, display name) as an info. Similarly for
sources of Job configuration properties
4) Job level counters and configuration properties are stored both in
ApplicationTable and EntityTable. It's probably safe just to store MR specific
counters in EntityTable.
One general problem I see around this area in MR:
1) We can precompute # of failed/killed/successful map/reduce task attempts and
average map/reduce/shuffle/merge time in the AM. This would avoid iterating
over all task attempts when JHS servers the Job Overview Page.
To fully replace JHS with ATSv2, three functionalities need to be supported by
ATSv2
1) /apps/ query so that a list of all jobs can be retrieved
2) support streaming api to get all generic entities (YARN-5672)
3) support per-app data retention policy. Likely a setting in TimelineWriter
that allow admins specifies how long information of a given application should
be kepts, in the form of TTL in HBase.
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