Can you post what settings have you configured for Spark interpreter?
I recently did a demo of using Zeppelin 0.9.0 preview1 + Structured Streaming
+ Kafka, running in distributed mode on the DSE Analytics, and everything
just worked...
P.S. Here is the notebook if you're interested
hi here is my question. Spark code run on zeppelin is unable to find
kafka source even though a dependency is specified. I ask is there any
way to fix this. Zeppelin version is 0.9.0, Spark version is 2.4.6, and
kafka version is 2.4.1. I have specified the dependency in the packages
and add a
Hi All
After spending few more days with the issue, I finally found the issue
listed in Spark Jira - https://issues.apache.org/jira/browse/SPARK-8659
I would love to know if there are any roadmap for this? Maybe someone from
dev group can confirm?
Thank you in advance
Best
Ayan
On Thu, Mar
BTW, when the daemon is stopped on the host, the notebook just hangs if it
was running, without any errors. The only way is to tail the last log in
$ZEPPELIN_HOME/logs. So I would say a cron type job is required to scan the
log for errors.
Dr Mich Talebzadeh
LinkedIn *
Thanks guys for reply. Yes, Zeppelin with Spark is pretty compelling
choice, for single user. Any pointers for using Zeppelin for multi user
scenario? In essence, can we either (a) Use Zeppelin to connect to a long
running Spark Application which has some pre-cached Dataframes? (b) Can
Zeppelin
I believe you need to co-locate your Zeppelin on the same node where Spark
is installed. You need to specify the SPARK HOME. The master I used was
YARN.
Zeppelin exposes a notebook interface. A notebook can have many paragraphs.
You run the paragraphs. You can mix multiple contexts in the same
Hi All
I am writing this in order to get a fair understanding of how zeppelin can
be integrated with Spark.
Our use case is to load few tables from a DB to Spark, run some
transformation. Once done, we want to expose data through Zeppelin for
analytics. I have few question around that to sound
