Which Scala version / Spark release are you using ?
Cheers
On Wed, Jun 22, 2016 at 8:20 PM, Sunita Arvind
wrote:
> Hello Experts,
>
> I am getting this error repeatedly:
>
> 16/06/23 03:06:59 ERROR streaming.StreamingContext: Error starting the
> context, marking it as
It works well with me. You can try reimport it into intellij.
On Thu, Jun 23, 2016 at 10:25 AM, Stephen Boesch wrote:
>
> Building inside intellij is an ever moving target. Anyone have the magical
> procedures to get it going for 2.X?
>
> There are numerous library references
I had some errors like SqlBaseParser class missing, and figured out I
needed to get these classes from SqlBase.g4 using antlr4. It works fine now.
On Thu, Jun 23, 2016 at 9:20 AM, Jeff Zhang wrote:
> It works well with me. You can try reimport it into intellij.
>
> On Thu, Jun
After a bit of effort I moved from a Spark cluster running 1.5.2, to a
Yarn cluster running 1.6.1 jars. I'm still setting the maxRPP. The
completed batches are no longer showing the number of events processed
in the Streaming UI tab . I'm getting around 4k inserts per second in
hbase, but I
LOL… I hate YARN, but unfortunately I don’t get to make the call on which tools
we’re going to use, I just get paid to make stuff work on the tools provided.
;-)
Testing is somewhat problematic. You have to really test at some large enough
fraction of scale.
Fortunately for this issue (YARN
Trying to keep the answer short and simple...
On Wed, Jun 22, 2016 at 1:19 PM, Michael Segel
wrote:
> But this gets to the question… what are the real differences between client
> and cluster modes?
> What are the pros/cons and use cases where one has advantages over
Thanks Marcelo,
Sounds like cluster mode is more resilient than the client-mode.
Does it also depend on the number of Spark nodes involved in choosing which
way to go?
Cheers
Dr Mich Talebzadeh
LinkedIn *
https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
Hi there,
I have been getting a strange error in spark-1.6.1
The job submitted uses only the executor launched on the Master node while
the other workers are idle.
When I check the errors from the web ui to investigate on the killed
executors I see the error:
Error: invalid log directory
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