How does Diyotta utilize executer core when spark is in local mode?
Diyotta allows to choose CPU Cores option in spark data point properties when choosing local mode. By default, it is * that will use all the CPU cores available in that agent node. User can give numeric input based on the available system CPU cores. Spark will execute that many number of parallel threads
After changing the date format in the oracle source we are getting NULLS inserted into the Hive table
Whenever we try to Stop or Start an Agent getting an error with Environment Variable
When trying to run the jobflow we are facing TFORM table not present Error during the execution.
When we create a Data Object from the file, we notice that the delimiters are not correct.
ORACLE Job failed while extracting data with DATE format not recognized
Expression validation is not happening when I'm using the REGEXP_REPLACE function
Unable to view the Upsert option in the Mysql target
How can we view all the active jobs in the monitor dashboard irrespective of Projects
