+1 sounds good. Thanks Dongjoon for volunteering on this!
Liang-Chi Dongjoon Hyun-2 wrote > Hi, All. > > Since Apache Spark 3.1.1 tag creation (Feb 21), > new 172 patches including 9 correctness patches and 4 K8s patches arrived > at branch-3.1. > > Shall we make a new release, Apache Spark 3.1.2, as the second release at > 3.1 line? > I'd like to volunteer for the release manager for Apache Spark 3.1.2. > I'm thinking about starting the first RC next week. > > $ git log --oneline v3.1.1..HEAD | wc -l > 172 > > # Known correctness issues > SPARK-34534 New protocol FetchShuffleBlocks in OneForOneBlockFetcher > lead to data loss or correctness > SPARK-34545 PySpark Python UDF return inconsistent results when > applying 2 UDFs with different return type to 2 columns together > SPARK-34681 Full outer shuffled hash join when building left side > produces wrong result > SPARK-34719 fail if the view query has duplicated column names > SPARK-34794 Nested higher-order functions broken in DSL > SPARK-34829 transform_values return identical values when it's used > with udf that returns reference type > SPARK-34833 Apply right-padding correctly for correlated subqueries > SPARK-35381 Fix lambda variable name issues in nested DataFrame > functions in R APIs > SPARK-35382 Fix lambda variable name issues in nested DataFrame > functions in Python APIs > > # Notable K8s patches since K8s GA > SPARK-34674 Close SparkContext after the Main method has finished > SPARK-34948 Add ownerReference to executor configmap to fix leakages > SPARK-34820 add apt-update before gnupg install > SPARK-34361 In case of downscaling avoid killing of executors already > known by the scheduler backend in the pod allocator > > Bests, > Dongjoon. -- Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
