GitHub user maropu opened a pull request: https://github.com/apache/spark/pull/11269
[SPARK-13363][SQL] Support Aggregator in DataFrame Support user-defined `Aggregator`s in DataFrame. Currently, the code below does not work because of an unresolved error in `CheckAnalysis`. ``` val simpleSum = new SqlAggregator[Int, Int, Int] { def zero: Int = 0 // The initial value. def reduce(b: Int, a: Int) = b + a // Add an element to the running total def merge(b1: Int, b2: Int) = b1 + b2 // Merge intermediate values. def finish(b: Int) = b // Return the final result. }.toColumn val df = sc.makeRDD(1 to 3).map(i => (i, i)).toDF("k", "v") df.groupBy("k").agg(simpleSum).show ``` This pr fix this and add tests according to `DatasetAggregatorSuite`. You can merge this pull request into a Git repository by running: $ git pull https://github.com/maropu/spark SupportAggregatorInDF Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/11269.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #11269 ---- ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org