Hi all, I have a table containing historical time series data. I know the logging frequency for the same. Is there any way to write UDFs to count the total number of missing data in Spark?
I am new to Spark, and this question might be Naive. But, a piece of code/resource might help me jump start the same. Thanks & Regards, Kushagra -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Finding-Data-Gaps-or-missing-data-count-for-a-time-series-data-tp12251.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
