It's not responding again. Is there any way to kick it harder? I know
it's well understood but this means not much can be merged in Spark
On Fri, Mar 15, 2019 at 12:08 PM shane knapp wrote:
>
> well, that box rebooted in record time! we're back up and building.
>
> and as always, i'll keep a clo
Forgot to link the ticket that removed the global ScalaReflectionLock:
https://issues.apache.org/jira/browse/SPARK-19810
Best Regards,
Ryan
On Fri, Mar 15, 2019 at 10:40 AM Shixiong(Ryan) Zhu
wrote:
> Hey Sean,
>
> Sounds good to me. At least, it's not worse than any versions prior to
> 2.3.0
Hey Sean,
Sounds good to me. At least, it's not worse than any versions prior to
2.3.0 which has a global ScalaReflectionLock. In addition, if someone hits
a performance regression caused by this, they probably are creating too
many Encoders. Reusing Encoders is a better solution for this case.
B
cool, thanks!
On Sat, Mar 16, 2019 at 1:08 AM shane knapp wrote:
> well, that box rebooted in record time! we're back up and building.
>
> and as always, i'll keep a close eye on things today... jenkins usually
> works great, until it doesn't. :\
>
> On Fri, Mar 15, 2019 at 9:52 AM shane knap
well, that box rebooted in record time! we're back up and building.
and as always, i'll keep a close eye on things today... jenkins usually
works great, until it doesn't. :\
On Fri, Mar 15, 2019 at 9:52 AM shane knapp wrote:
> as some of you may have noticed, jenkins got itself in a bad stat
as some of you may have noticed, jenkins got itself in a bad state multiple
times over the past couple of weeks. usually restarting the service is
sufficient, but it appears that i need to hit it w/the reboot hammer.
jenkins will be down for the next 20-30 minutes as the node reboots and
jenkins
Your best bet is to try to ping people who wrote the code that is
changing. Jose have you looked at this part, or Cody?
On Fri, Mar 15, 2019 at 8:13 AM Tomas Bartalos wrote:
>
> Hello,
>
> I've contributed a PR https://github.com/apache/spark/pull/23749/. I think it
> is an interesting feature t
Hello,
I've contributed a PR https://github.com/apache/spark/pull/23749/. I think
it is an interesting feature that might be of use by lot of folks from
Kafka community. Our company already uses this feature for real time
reporting based on Kafka events.
I was trying to strictly follow the contri
