I can't reproduce this in %spark, nor %sql
It seems to be %pyspark-specific.
Also seems it runs fine first time I start Zeppelin, then it shows this
error
You must build Spark with Hive. Export 'SPARK_HIVE=true' and run build/sbt
assembly
sqlc = HiveContext(sc)
sqlc.sql("select count(*) from hi
Hi,
I've been using Zeppelin with Spark SQL recently.
One thing I've noticed that can be confusing is that Zeppelin attempts to
detect the type of column and format it. For example, for columns that
appear to have mostly numbers, it will put in commas.
Is there a way to configure it globally or
Thank you for sharing the result!
and Feel free to mail whenever you have problems.
2016년 11월 24일 (목) 오전 7:30, Ruslan Dautkhanov 님이 작성:
> Thank you Hyung. That was it. That is resolved.
>
> Although I still can't get Zeppelin to work .. will send another email on
> this new issue.
>
> Thanks again
Thank you Hyung. That was it. That is resolved.
Although I still can't get Zeppelin to work .. will send another email on
this new issue.
Thanks again.
On Wed, Nov 23, 2016 at 12:19 AM Hyung Sung Shim wrote:
> Hello.
> Thank you for sharing your problem.
>
> Could you add *-Pvendor-repo *opti
Well, that wasn't a long-running session. HDFS Namenode states haven't
changed when that Zeppelin
notebook started. It's always reproducible problem. It might be a Spark 2.0
problem. I am failing back to Spark 1.6.
Thanks Felix.
--
Ruslan Dautkhanov
On Wed, Nov 23, 2016 at 6:58 AM, Felix Cheu
Quite possibly since Spark is talking to HDFS.
Does it work in your environment when HA switch over with a long running spark
shell session?
From: Ruslan Dautkhanov
Sent: Sunday, November 20, 2016 5:27:54 PM
To: users@zeppelin.apache.org
Subject: Re: Zepelin pr
Hmm, SPARK_HOME is set it should pick up the right Spark.
Does this work with the Scala Spark interpreter instead of pyspark? If it
doesn't, is there more info in the log?
From: Ruslan Dautkhanov
Sent: Monday, November 21, 2016 1:52:36 PM
To: users@zeppelin.apa
