+1 (non-binding)
Thank you, Hyukjin
Bests,
Ruifeng
------------------ 原始邮件 ------------------
发件人:
"Dongjoon Hyun"
<[email protected]>;
发送时间: 2021年1月20日(星期三) 中午1:57
收件人: "Holden Karau"<[email protected]>;
抄送: "Sean Owen"<[email protected]>;"Hyukjin
Kwon"<[email protected]>;"dev"<[email protected]>;
主题: Re: [VOTE] Release Spark 3.1.1 (RC1)
+1
I additionally
- Ran JDBC integration test
- Ran with AWS EKS 1.16
- Ran unit tests with Python 3.9.1 combination (numpy 1.19.5, pandas 1.2.0,
scipy 1.6.0)
(PyArrow is not tested because it's not supported in Python 3.9.x. This
is documented via SPARK-34162)
There exists some on-going work in the umbrella JIRA (SPARK-33507: Improve and
fix cache behavior in v1 and v2).
I believe it can be achieved at 3.2.0 and we can add some comments on the
release note at 3.1.0.
Thank you, Hyukjin and all.
Bests,
Dongjoon.
On Tue, Jan 19, 2021 at 10:49 AM Holden Karau <[email protected]> wrote:
+1, pip installs on Python 3.8
One potential thing we might want to consider if there ends up being another RC
is that the error message for installing with Python2 could be clearer.
Processing ./pyspark-3.1.1.tar.gz
ERROR: Command errored out with exit status 1:
command: /tmp/py3.1/bin/python2 -c 'import sys, setuptools,
tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-lmlitE/setup.py'"'"';
__file__='"'"'/tmp/pip-req-build-lmlitE/setup.py'"'"';f=getattr(tokenize,
'"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"',
'"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info
--egg-base /tmp/pip-pip-egg-info-W1BsIL
cwd: /tmp/pip-req-build-lmlitE/
Complete output (6 lines):
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/tmp/pip-req-build-lmlitE/setup.py", line 31
file=sys.stderr)
^
SyntaxError: invalid syntax
----------------------------------------
ERROR: Command errored out with exit status 1: python setup.py egg_info Check
the logs for full command output.
On Tue, Jan 19, 2021 at 10:26 AM Sean Owen <[email protected]> wrote:
+1 from me. Same results as in 3.1.0 testing.
On Mon, Jan 18, 2021 at 6:06 AM Hyukjin Kwon <[email protected]> wrote:
Please vote on releasing the following candidate as Apache Spark version 3.1.1.
The vote is open until January 22nd 4PM PST and passes if a majority +1 PMC
votes are cast, with a minimum of 3 +1 votes.
[ ] +1 Release this package as Apache Spark 3.1.0
[ ] -1 Do not release this package because ...
To learn more about Apache Spark, please see http://spark.apache.org/
The tag to be voted on is v3.1.1-rc1 (commit
53fe365edb948d0e05a5ccb62f349cd9fcb4bb5d):
https://github.com/apache/spark/tree/v3.1.1-rc1
The release files, including signatures, digests, etc. can be found at:
https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc1-bin/
Signatures used for Spark RCs can be found in this file:
https://dist.apache.org/repos/dist/dev/spark/KEYS
The staging repository for this release can be found at:
https://repository.apache.org/content/repositories/orgapachespark-1364
The documentation corresponding to this release can be found at:
https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc1-docs/
The list of bug fixes going into 3.1.1 can be found at the following URL:
https://s.apache.org/41kf2
This release is using the release script of the tag v3.1.1-rc1.
FAQ
===================
What happened to 3.1.0?
===================
There was a technical issue during Apache Spark 3.1.0 preparation, and it was
discussed and decided to skip 3.1.0.
Please see https://spark.apache.org/news/next-official-release-spark-3.1.1.html
for more details.
=========================
How can I help test this release?
=========================
If you are a Spark user, you can help us test this release by taking
an existing Spark workload and running on this release candidate, then
reporting any regressions.
If you're working in PySpark you can set up a virtual env and install
the current RC via "pip
install https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc1-bin/pyspark-3.1.1.tar.gz"
and see if anything important breaks.
In the Java/Scala, you can add the staging repository to your projects
resolvers and test
with the RC (make sure to clean up the artifact cache before/after so
you don't end up building with an out of date RC going forward).
===========================================
What should happen to JIRA tickets still targeting 3.1.1?
===========================================
The current list of open tickets targeted at 3.1.1 can be found at:
https://issues.apache.org/jira/projects/SPARK and search for "Target
Version/s" = 3.1.1
Committers should look at those and triage. Extremely important bug
fixes, documentation, and API tweaks that impact compatibility should
be worked on immediately. Everything else please retarget to an
appropriate release.
==================
But my bug isn't fixed?
==================
In order to make timely releases, we will typically not hold the
release unless the bug in question is a regression from the previous
release. That being said, if there is something which is a regression
that has not been correctly targeted please ping me or a committer to
help target the issue.
--
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