I have tried with batch_size=500 and still get same error. For your
reference are attached info that may help diagnose.
Error: Error while applying Kudu session.: Incomplete: not enough space
remaining in buffer for op (required 46.7K, 7.00M already used
Config settings:
Kudu Tablet Server
There is some code in review that needs some more refinement.
It will allow upsert/insert from a dataframe using the datasource api. It will
also allow the creation and deletion of tables from a dataframe
http://gerrit.cloudera.org:8080/#/c/2992/
Example usages will look something like:
Can someone tell me what the state is of this Spark work?
Also, does anyone have any sample code on how to update/insert data in Kudu
using DataFrames?
Thanks,
Ben
> On Apr 13, 2016, at 8:22 AM, Chris George wrote:
>
> SparkSQL cannot support these type of
Thanks for the updates. I will give both options a try and report back.
If you are interested in testing with such datasets, I can help.
Thanks,
Abhi
On Wed, May 18, 2016 at 6:25 AM, Todd Lipcon wrote:
> Hi Abhi,
>
> Will is right that the error is client-side, and