Burak Yavuz created SPARK-9614: ---------------------------------- Summary: InternalRow representation during executionPlan.toRdd.aggregete possibly problematic Key: SPARK-9614 URL: https://issues.apache.org/jira/browse/SPARK-9614 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 1.5.0 Reporter: Burak Yavuz Priority: Blocker
For example, in FrequentItems.scala, we have a specialized FrequentItems counter which is backed by a Mutable Map. The keys in the MutableMap are the elements in a column. After iterating through a partition, all the keys turn out to be the latest element seen in that partition! Assume a partition is composed of the elements ("0","1","2","3","4") for a column of a dataframe. The expected map is: {code} ("0" -> 1,"1" -> 1,"2" -> 1,"3" -> 1,"4" -> 1) {code} But once you print it out, it turns out to be: {code} ("4" -> 1,"4" -> 1,"4" -> 1,"4" -> 1,"4" -> 1) {code} There might be other instances where such behavior may be observed, and it must be analyzed before the release. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org