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https://issues.apache.org/jira/browse/IGNITE-28882?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18097513#comment-18097513
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Ignite TC Bot commented on IGNITE-28882:
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{panel:title=Branch: [pull/13359/head] Base: [master] : Possible Blockers 
(6)|borderStyle=dashed|borderColor=#ccc|titleBGColor=#F7D6C1}
{color:#d04437}Platform .NET (Windows) 3{color} [[tests 0 TIMEOUT , Exit Code 
|https://ci2.ignite.apache.org/viewLog.html?buildId=9214796]]

{color:#d04437}Platform .NET (Windows){color} [[tests 0 TIMEOUT , Exit Code 
|https://ci2.ignite.apache.org/viewLog.html?buildId=9214725]]

{color:#d04437}Queries 3{color} [[tests 
1|https://ci2.ignite.apache.org/viewLog.html?buildId=9214728]]
* IgniteBinaryCacheQueryTestSuite3: 
IndexingCachePartitionLossPolicySelfTest.checkLostPartition[TRANSACTIONAL 
READ_ONLY_ALL 2 false 5 true] - Test has low fail rate in base branch 0,0% and 
is not flaky

{color:#d04437}Basic 1{color} [[tests 
1|https://ci2.ignite.apache.org/viewLog.html?buildId=9214652]]
* IgniteBasicTestSuite: CoreVersionRollingUpgradeTest.testClusterVersionUpgrade 
- Test has low fail rate in base branch 0,0% and is not flaky

{color:#d04437}Platform C++ CMake (Win x64 / Release){color} [[tests 0 
CANCELLED|https://ci2.ignite.apache.org/viewLog.html?buildId=9214721]]

{color:#d04437}Snapshots 2{color} [[tests 
1|https://ci2.ignite.apache.org/viewLog.html?buildId=9214753]]
* IgniteSnapshotTestSuite2: 
IgniteClusterSnapshotRestoreSelfTest.testCrdLeftDuringCacheStartOnExchangeFinish[encryption=false,
 onlyPrimay=false] - Test has low fail rate in base branch 0,0% and is not flaky

{panel}
{panel:title=Branch: [pull/13359/head] Base: [master] : No new tests 
found!|borderStyle=dashed|borderColor=#ccc|titleBGColor=#F7D6C1}{panel}
[TeamCity *--> Run :: All* 
Results|https://ci2.ignite.apache.org/viewLog.html?buildId=9214797&buildTypeId=IgniteTests24Java8_RunAll]
{color:#ffffff}tcbot-analysis-comment chainBuildId=9214797 
rerunBuildIds=none{color}

> Window Functions - Thread Starvation & Redundant Row Size Calculation
> ---------------------------------------------------------------------
>
>                 Key: IGNITE-28882
>                 URL: https://issues.apache.org/jira/browse/IGNITE-28882
>             Project: Ignite
>          Issue Type: Improvement
>            Reporter: Oleg Zinoviev
>            Assignee: Oleg Zinoviev
>            Priority: Major
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> The current implementation of window functions in the scope of IGNITE-14777 
> does not address the following two issues:
>  # *Thread starvation risk with large partitions.* When a partition contains 
> a large number of rows, the computation thread may get blocked for an 
> extended period, causing other execution nodes to experience resource 
> starvation.
>  # *Redundant row size calculation.* The row size is computed multiple times 
> to control memory consumption, which introduces unnecessary overhead.
> h4. Required changes
>  * Implement proper release of the execution thread when processing large 
> partitions so that other execution nodes do not experience starvation.
>  * Send computed rows directly to the downstream node to avoid intermediate 
> buffering and redundant calculations.
>  * Ensure that the row size is calculated exactly once per row to eliminate 
> redundant computations.
>  * In streaming mode for window functions, do not include row size 
> calculation as part of the computation logic, since in this mode the Node 
> does not store rows from upstream.
>  



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