Get invited to our slack community and get access to opportunities and data science insights

grouping_id([col1[, col2 ..]]) – returns the level of grouping, equals to `(grouping(c1) << (n-1)) + (grouping(c2) << (n-2)) + ... + grouping(cn)`
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.GroupingID

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

Related Post

Leave a Comment