Hi all, I am currently evaluating using Spark with Kudu. So I am facing the following issues:
1) If you try to DELETE a row with a key that is not present on the table you will have an Exception like this: java.lang.RuntimeException: failed to write N rows from DataFrame to Kudu; sample errors: Not found: key not found (error 0) 2) If you try to DELETE a row using a subset of a table key you will face the following: Caused by: java.lang.RuntimeException: failed to write N rows from DataFrame to Kudu; sample errors: Invalid argument: No value provided for key column: The use cases presented above are correctly working if you interact with kudu using Impala. Any suggestions to overcome these limitation? Thanks. Best Regards Pietro
