[ https://issues.apache.org/jira/browse/SPARK-9614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Davies Liu resolved SPARK-9614. ------------------------------- Resolution: Fixed Assignee: Burak Yavuz Fix Version/s: 1.5.0 I'd like to mark this as fixed, reopen it if other bugs found. > 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 > Assignee: Burak Yavuz > Priority: Blocker > Fix For: 1.5.0 > > > 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