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https://issues.apache.org/jira/browse/IGNITE-11262?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16773744#comment-16773744
]
Ignite TC Bot commented on IGNITE-11262:
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{panel:title=--> Run :: All: Possible
Blockers|borderStyle=dashed|borderColor=#ccc|titleBGColor=#F7D6C1}
{color:#d04437}MVCC Cache 6{color} [[tests
5|https://ci.ignite.apache.org/viewLog.html?buildId=3141524]]
* IgniteCacheMvccTestSuite6:
TxRollbackOnIncorrectParamsTest.testTimeoutSetRemoteGuarantee - 3,3% fails in
last 215 master runs.
* IgniteCacheMvccTestSuite6:
TxRollbackOnIncorrectParamsTest.testTimeoutSetLocalGuarantee - 3,3% fails in
last 215 master runs.
* IgniteCacheMvccTestSuite6:
TxRollbackOnIncorrectParamsTest.testRollbackInsideLocalListenerAfterRemoteFilter
- 3,3% fails in last 215 master runs.
* IgniteCacheMvccTestSuite6:
TxRollbackOnIncorrectParamsTest.testLabelFilledLocalGuarantee - 3,3% fails in
last 215 master runs.
* IgniteCacheMvccTestSuite6:
TxRollbackOnIncorrectParamsTest.testLabelFilledRemoteGuarantee - 3,3% fails in
last 215 master runs.
{panel}
[TeamCity *--> Run :: All*
Results|https://ci.ignite.apache.org/viewLog.html?buildId=3136056&buildTypeId=IgniteTests24Java8_RunAll]
> Compression on Discovery data bag
> ---------------------------------
>
> Key: IGNITE-11262
> URL: https://issues.apache.org/jira/browse/IGNITE-11262
> Project: Ignite
> Issue Type: Improvement
> Reporter: Vladislav Pyatkov
> Assignee: Vladislav Pyatkov
> Priority: Major
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
> Size of GridComponetns data may increase significantly in large deployment.
> Examples:
> 1) In case of more then 3K caches with QueryEntry configured - size of
> {{DiscoveryDataBag}}{{GridCacheProcessor}} data bag consume more then 20 Mb
> 2) If cluster contain more then 13K objects -
> {{GridMarshallerMappingProcessor}} size more then 1 Mb
> 3) Cluster with more then 3К types in binary format -
> {{CacheObjectBinaryProcessorImpl}} size can grow to 10Mb
> The data in most cases contain duplicated structure and simple zip
> compression can led to seriously reduce size.
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