[SPARK-55128][INFRA][4.0] Restore SQL tests by pin 'pandas==2.3.3' #54263
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Restore Restore SQL tests by pin 'pandas<3' pandas 3 is just released, and fail sql tests https://github.com/apache/spark/actions/runs/21232213791/job/61092886134 currently pandas 3 doesn't affect python tests too much: 1, in `dev/requirements.txt`, the latest `mlflow==3.8.1` requires: `pandas<3` 2, `pandas==2.3.3` is pinned in most places no ci no Closes apache#53910 from zhengruifeng/restore_sql. Authored-by: Ruifeng Zheng <ruifengz@apache.org> Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
…3' for maven daily test Similar to apache#53910, this pr pins the pandas version to 2.3.3. To restore SQL tests for maven daily test. - https://github.com/apache/spark/actions/runs/21249870076/job/61148348328 ``` - udf/postgreSQL/udf-case.sql - Scalar Pandas UDF *** FAILED *** udf/postgreSQL/udf-case.sql - Scalar Pandas UDF Python: 3.11 Pandas: 3.0.0 PyArrow: 23.0.0 Expected Some("struct<Two:string,i:int,f:double,i:int,j:int>"), but got Some("struct<>") Schema did not match for query apache#30 SELECT '' AS `Two`, * FROM CASE_TBL a, CASE2_TBL b WHERE udf(COALESCE(f,b.i) = 2): -- !query SELECT '' AS `Two`, * FROM CASE_TBL a, CASE2_TBL b WHERE udf(COALESCE(f,b.i) = 2) -- !query schema struct<> -- !query output org.apache.spark.SparkRuntimeException { "errorClass" : "CAST_INVALID_INPUT", "sqlState" : "22018", "messageParameters" : { "ansiConfig" : "\"spark.sql.ansi.enabled\"", "expression" : "'nan'", "sourceType" : "\"STRING\"", "targetType" : "\"BOOLEAN\"" }, "queryContext" : [ { "objectType" : "", "objectName" : "", "startIndex" : 62, "stopIndex" : 85, "fragment" : "udf(COALESCE(f,b.i) = 2)" } ] } (SQLQueryTestSuite.scala:681) ``` No monitor maven daily test after pr merged No Closes apache#53933 from LuciferYang/SPARK-55128-FOLLOWUP. Authored-by: yangjie01 <yangjie01@baidu.com> Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>
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HyukjinKwon
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Feb 11, 2026
LuciferYang
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Feb 11, 2026
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@HyukjinKwon, bring up my previous suggestion - pyspark should use fixed or range version to decalre the dependency, for release branches and tags. |
zhengruifeng
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Feb 11, 2026
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CI passes except for the irrelevant one - it was tackled by SPARK-54470 (4.1.0) thanks, merging to branch-4.0 |
pan3793
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Feb 11, 2026
Backport #53910 and #53933 to branch-4.0 ### What changes were proposed in this pull request? Pandas 3.0 released, pin 'pandas==2.3.3' to recover the CI. ### Why are the changes needed? Recover CI. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Wait for GHA result. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #54263 from pan3793/SPARK-55128-4.0. Lead-authored-by: Ruifeng Zheng <ruifengz@apache.org> Co-authored-by: yangjie01 <yangjie01@baidu.com> Signed-off-by: Cheng Pan <chengpan@apache.org>
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closed via 964a3ef |
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Backport #53910 and #53933 to branch-4.0
What changes were proposed in this pull request?
Pandas 3.0 released, pin 'pandas==2.3.3' to recover the CI.
Why are the changes needed?
Recover CI.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
Wait for GHA result.
Was this patch authored or co-authored using generative AI tooling?
No.