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Increase SAAS WorkerScheduler WorkerPartition AcknowledgementSet timeout to 2 hours#6298

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san81 merged 1 commit into
opensearch-project:mainfrom
wjyao0316:acknowledgement
Nov 26, 2025
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Increase SAAS WorkerScheduler WorkerPartition AcknowledgementSet timeout to 2 hours#6298
san81 merged 1 commit into
opensearch-project:mainfrom
wjyao0316:acknowledgement

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@wjyao0316 wjyao0316 commented Nov 25, 2025

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Description

[Describe what this change achieves]

What?*

This commit incerases SAAS worker partition AcknowledgementSet timeout from 20 seconds to 2 hours.

Why?

20 seconds is not enough for finish processing each worker partition. Increase it to infinite high to ensure each worker partition has enough time for processing.

Test

Run the local test with m365 source locally without problem

Check List

  • New functionality includes testing.
  • New functionality has a documentation issue. Please link to it in this PR.
    • New functionality has javadoc added
  • Commits are signed with a real name per the DCO

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
For more information on following Developer Certificate of Origin and signing off your commits, please check here.

…out to 2 hours

*What?**

This commit incerases SAAS worker partition AcknowledgementSet timeout from 20 seconds
to 2 hours.

**Why?**

20 seconds is not enough for finish processing each worker partition. Increase it to infinite
high to ensure each worker partition has enough time for processing.

Signed-off-by: Wenjie Yao <wjyao@amazon.com>
@san81 san81 merged commit a99a3a5 into opensearch-project:main Nov 26, 2025
43 of 47 checks passed
eatulban pushed a commit to eatulban/data-prepper that referenced this pull request Dec 11, 2025
…out to 2 hours (opensearch-project#6298)

*What?**

This commit incerases SAAS worker partition AcknowledgementSet timeout from 20 seconds
to 2 hours.

**Why?**

20 seconds is not enough for finish processing each worker partition. Increase it to infinite
high to ensure each worker partition has enough time for processing.

Signed-off-by: Wenjie Yao <wjyao@amazon.com>
Co-authored-by: Wenjie Yao <wjyao@amazon.com>
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4 participants