Re: Apache Spark 3.1.2 Release?

Mon, 17 May 2021 20:45:04 -0700

+1. thanks Dongjoon
Kent Yao 
@ Data Science Center, Hangzhou Research Institute, NetEase Corp.
a spark enthusiast
kyuubiis a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark.

spark-authorizerA Spark SQL extension which provides SQL Standard Authorization for Apache Spark.
spark-postgres A library for reading data from and transferring data to Postgres / Greenplum with Spark SQL and DataFrames, 10~100x faster.
itatchiA library that brings useful functions from various modern database management systems to Apache Spark.




On 05/18/2021 10:57，John Zhuge<jzh...@apache.org> wrote：
+1, thanks Dongjoon!

On Mon, May 17, 2021 at 7:50 PM Yuming Wang <wgy...@gmail.com> wrote:
+1.

On Tue, May 18, 2021 at 9:06 AM Hyukjin Kwon <gurwls...@gmail.com> wrote:
+1 thanks for driving me

On Tue, 18 May 2021, 09:33 Holden Karau, <hol...@pigscanfly.ca> wrote:
+1 and thanks for volunteering to be the RM :)

On Mon, May 17, 2021 at 4:09 PM Takeshi Yamamuro <linguin....@gmail.com> wrote:
Thank you, Dongjoon~ sgtm, too.

On Tue, May 18, 2021 at 7:34 AM Cheng Su <chen...@fb.com.invalid> wrote:
+1 for a new release, thanks Dongjoon!

Cheng Su

On 5/17/21, 2:44 PM, "Liang-Chi Hsieh" <vii...@gmail.com> wrote:

    +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.





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Takeshi Yamamuro
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John Zhuge

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