hvanhovell commented on a change in pull request #26127: [SPARK-29348][SQL] Add observable Metrics for Streaming queries URL: https://github.com/apache/spark/pull/26127#discussion_r351946622
########## File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ########## @@ -1847,6 +1847,54 @@ class Dataset[T] private[sql]( @scala.annotation.varargs def agg(expr: Column, exprs: Column*): DataFrame = groupBy().agg(expr, exprs : _*) + /** + * Define (named) metrics to observe on the Dataset. This method returns an 'observed' Dataset + * that returns the same result as the input, with the following guarantees: + * - It will compute the defined aggregates (metrics) on all the data that is flowing through the + * Dataset at that point. + * - It will report the value of the defined aggregate columns as soon as we reach a completion + * point. A completion point is either the end of a query (batch mode) or the end of a streaming + * epoch. The value of the aggregates only reflects the data processed since the previous + * completion point. + * Please note that continuous execution is currently not supported. + * + * The metrics columns must either contain a literal (e.g. lit(42)), or should contain one or Review comment: It follows the rules for global aggregate. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
