I am trying to use SPARK Executor to use some functionality of MLLib. I test with small examples and work well, However when I tried to upload a big file, I got this error in knime console:
ERROR Table to Spark 4:2 Spark request failed. Failed to upload file to server. Path: C:\XX\XX\XX\job-server5221361226461977652.tmp Status code: 413 Status family: CLIENT_ERROR Reason: Request Entity Too Large Response:InboundJaxrsResponse{ClientResponse{method=POST, uri=http://xx:8090/data/dataTable-4e879a6c-9dab-46f6-bdf3-49707bc02f55, status=413, reason=Request Entity Too Large}}
ERROR Table to Spark 4:2 Execute failed: Executing Spark request failed. Error: Failed to upload file to server. Path: C:\XX\XX\XX\job-server5221361226461977652.tmp. Reason: Request Entity Too Large. Error code: 413. For more details see the KNIME log file.
Is there any parameter in the Spark Configuration or Spark Job Server to increase the amount of data to upload to Spark?
Thanks for your help.
Regards
Eloy