It’s time to submit Spark's quarterly ASF board report on February 13th, so I
wanted to run the report by everyone to make sure we’re not missing something.
Let me know whether I missed anything:
Apache Spark is a fast and general engine for large-scale data processing. It
Not me. I am running zulu8, maven, and hadoop-2.7.
On Sat, Feb 9, 2019 at 5:42 PM Felix Cheung
wrote:
> One test in SparkSubmitSuite is consistently failing for me. Anyone seeing
> that?
>
>
> --
> *From:* Takeshi Yamamuro
> *Sent:* Saturday, February 9, 2019 5:25
One test in SparkSubmitSuite is consistently failing for me. Anyone seeing that?
From: Takeshi Yamamuro
Sent: Saturday, February 9, 2019 5:25 AM
To: Spark dev list
Subject: Re: [VOTE] Release Apache Spark 2.3.3 (RC2)
Sorry, but I forgot to check `
Those speedups look awesome! Great work Hyukjin!
Thanks
Shivaram
On Sat, Feb 9, 2019 at 7:41 AM Hyukjin Kwon wrote:
>
> Guys, as continuation of Arrow optimization for R DataFrame to Spark
> DataFrame,
>
> I am trying to make a vectorized gapply[Collect] implementation as an
> experiment like
If many people find the current behavior OK, then honestly just don't
make this change. It's been there a while and the logs are available
for anyone who wants to browse through YARN.
While I think the change is fine, I can't see it being worth a flag to
toggle between two pretty trivially
Guys, as continuation of Arrow optimization for R DataFrame to Spark
DataFrame,
I am trying to make a vectorized gapply[Collect] implementation as an
experiment like vectorized Pandas UDFs
It brought 820%+ performance improvement. See
https://github.com/apache/spark/pull/23746
Please come and
Sorry, but I forgot to check ` -Pdocker-integration-tests` for the JDBC
integration tests.
I run these tests, and then I checked if they are passed.
On Sat, Feb 9, 2019 at 5:26 PM Herman van Hovell
wrote:
> I count 2 binding votes :)...
>
> Op vr 8 feb. 2019 om 22:36 schreef Felix Cheung >
>
