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[Python][CI] Update spark versions tested on our nightly tests #36199
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@kiszk do you know what are the versions we should be testing? |
You are right. This (at the bottom) is the maintenance policy. For 18 months from the release. Based on the policy, the current active Sparks are 3.2.x, 3.3.x, and 3.4.x. Spark 3.2.x will be retired soon.
Spark 3.5 will be released after this summer
So, my suggestion is to test Spark 3.4.0. |
…ly tests (#36347) ### Rationale for this change We are currently testing with very old or deprecated spark versions. ### What changes are included in this PR? Update the spark versions to be tested. ### Are these changes tested? They will via archery ### Are there any user-facing changes? No * Closes: #36199 Authored-by: Raúl Cumplido <raulcumplido@gmail.com> Signed-off-by: Jacob Wujciak-Jens <jacob@wujciak.de>
… nightly tests (apache#36347) ### Rationale for this change We are currently testing with very old or deprecated spark versions. ### What changes are included in this PR? Update the spark versions to be tested. ### Are these changes tested? They will via archery ### Are there any user-facing changes? No * Closes: apache#36199 Authored-by: Raúl Cumplido <raulcumplido@gmail.com> Signed-off-by: Jacob Wujciak-Jens <jacob@wujciak.de>
Describe the enhancement requested
It does seem we are using some pretty old and deprecated spark versions on our CI nightly integration builds with spark.
As discussed on this PR comment discussion: #36061 (comment)
The following comments were added:
Do we still need Spark 3.1.2?
I think that Spark 3.1 reached EOL:
https://spark.apache.org/versioning-policy.html
And 3.1.1 was released on 2021-03-02:
https://spark.apache.org/news/index.html
3.2 might reach EOL because 3.2.0 was released on 2021-10-13:
Component(s)
Continuous Integration, Python
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