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Posted to issues@ignite.apache.org by "Maxim Muzafarov (Jira)" <ji...@apache.org> on 2019/10/10 12:27:00 UTC
[jira] [Commented] (IGNITE-10418) Implement lightweight profiling
of messages processing
[ https://issues.apache.org/jira/browse/IGNITE-10418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16948525#comment-16948525 ]
Maxim Muzafarov commented on IGNITE-10418:
------------------------------------------
Moved to the next release due to inactivity. Please, feel free to move it back if you will be able to complete the ticket by 2.8 code freeze date, December 2, 2019.
Folks,
This issue should be covered under IEP-35 activities, right?
> Implement lightweight profiling of messages processing
> ------------------------------------------------------
>
> Key: IGNITE-10418
> URL: https://issues.apache.org/jira/browse/IGNITE-10418
> Project: Ignite
> Issue Type: New Feature
> Reporter: Alexei Scherbakov
> Assignee: Denis Chudov
> Priority: Major
>
> There is a lack of capabilities to identify bottlenecks without extensive profiling on server and client side (JFR recording, sampling profilers, regular thread dumps, etc), which is not always possible. Even having profiling data not always helpful for determining several types of bottlenecks, for example, if there is a contention on single key/partition.
> Lightweight message profiling will allow to track each message execution, to collect a statistics of execution in executors for each grid node and for all nodes, collect histograms distributed by waiting/execution time for each type of message.
> We need to implement:
> # histogram metrics for message execution time, queue waiting time, queue size at the moments of queue add and execution start, with distribution by message type;
> # Dumping of messages if it’s execution/waiting time exceeds some threshold timeout, i.e.
> {code:java}
> Slow message: *enqueueTs*=2018-11-27 15:10:22.241, *waitTime*=0.048, *procTime*=305.186, *messageId*=3a3064a9, *queueSzBefore*=0, *headMessageId*=null, *queueSzAfter*=0, *message*=GridNearTxFinishRequest [miniId=1, mvccSnapshot=null, super=GridDistributedTxFinishRequest [topVer=AffinityTopologyVersion [topVer=4, minorTopVer=0], futId=199a3155761-f379f312-ad4b-4181-acc5-0aacb3391f07, threadId=296, commitVer=null, invalidate=false, commit=true, baseVer=null, txSize=0, sys=false, plc=2, subjId=dda703a0-69ee-47cf-9b9a-bf3dc9309feb, taskNameHash=0, flags=32, syncMode=FULL_SYNC, txState=IgniteTxStateImpl [activeCacheIds=[644280847], recovery=false, mvccEnabled=false, txMap=HashSet [IgniteTxEntry [key=KeyCacheObjectImpl [part=8, val=8, hasValBytes=true], cacheId=644280847, txKey=IgniteTxKey [key=KeyCacheObjectImpl [part=8, val=8, hasValBytes=true], cacheId=644280847], val=[op=READ, val=null], prevVal=[op=NOOP, val=null], oldVal=[op=NOOP, val=null], entryProcessorsCol=null, ttl=-1, conflictExpireTime=-1, conflictVer=null, explicitVer=null, dhtVer=null, filters=CacheEntryPredicate[] [], filtersPassed=false, filtersSet=false, entry=GridCacheMapEntry [key=KeyCacheObjectImpl [part=8, val=8, hasValBytes=true], val=null, ver=GridCacheVersion [topVer=0, order=0, nodeOrder=0], hash=8, extras=GridCacheObsoleteEntryExtras [obsoleteVer=GridCacheVersion [topVer=2147483647, order=0, nodeOrder=0]], flags=2]GridDistributedCacheEntry [super=]GridDhtCacheEntry [rdrs=ReaderId[] [], part=8, super=], prepared=0, locked=false, nodeId=null, locMapped=false, expiryPlc=null, transferExpiryPlc=false, flags=0, partUpdateCntr=0, serReadVer=null, xidVer=GridCacheVersion{code}
> # JMX tools and command line interface to get this metrics and print statistics view.
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