Hi,
We are currently using Spark 2.4.4 with Spark Thrift Server (STS) to expose a
JDBC interface to the reporting tools to generate report from Spark tables.
Now as we are analyzing on containerized deployment of Spark and STS, I would
like to understand is STS deployment on Kubernetes is
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The only change I am making is spark directory name.
It keeps failing in this same cell. df.toPandas()
findspark.init('/home/spark-2.4.6-bin-hadoop2.7') FAIL
findspark.init('/home/spark-3.0.0-bin-hadoop2.7'). PASS
On Sun, 21 Jun 2020, 19:51 randy clinton, wrote:
> You can see from the
That part isn't related to Spark. It means you have some code compiled for
Java 11, but are running Java 8.
On Sun, Jun 21, 2020 at 1:51 PM randy clinton
wrote:
> You can see from the GitHub history for "toPandas()" that the function has
> been in the code for 5 years.
>
>
You can see from the GitHub history for "toPandas()" that the function has
been in the code for 5 years.
https://github.com/apache/spark/blame/a075cd5b700f88ef447b559c6411518136558d78/python/pyspark/sql/dataframe.py#L923
When I google IllegalArgumentException: 'Unsupported class file major
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
