Yeah, +1 2021년 6월 9일 (수) 오후 12:06, Yi Wu <yi...@databricks.com>님이 작성:
> Hi, All. > > Since Apache Spark 3.0.2 tag creation (Feb 16), > new 119 patches (92 issues > <https://issues.apache.org/jira/projects/SPARK/versions/12349723> > resolved) arrived at branch-3.0. > > Shall we make a new release, Apache Spark 3.0.3, as the 3rd release at > the 3.0 line? > I'd like to volunteer as the release manager for Apache Spark 3.0.3. > I'm thinking about starting the first RC at the end of this week. > > $ git log --oneline v3.0.2..HEAD | wc -l > 119 > > # Known correctness issues > SPARK-34534 <https://issues.apache.org/jira/browse/SPARK-34534> New > protocol FetchShuffleBlocks in OneForOneBlockFetcher lead to data loss or > correctness > SPARK-34545 <https://issues.apache.org/jira/browse/SPARK-34545> > PySpark Python UDF return inconsistent results when applying 2 UDFs with > different return type to 2 columns together > SPARK-34719 <https://issues.apache.org/jira/browse/SPARK-34719> fail > if the view query has duplicated column names > SPARK-34794 <https://issues.apache.org/jira/browse/SPARK-34794> Nested > higher-order functions broken in DSL > > # Notable user-facing changes > SPARK-32924 <https://issues.apache.org/jira/browse/SPARK-32924> Web > UI sort on duration is wrong > SPARK-35405 <https://issues.apache.org/jira/browse/SPARK-35405> > Submitting Applications documentation has outdated information about K8s > client mode support > > Thanks, > Yi >
