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Submitting Applications documentation has outdated information about K8s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
