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Amit Baghel commented on SPARK-21249: ------------------------------------- [~hyukjin.kwon] Sorry for this jira post as I couldn't decide if the type should be bug or question. I have updated the jira description with all cases I tried for File Sink with mapGroupsWithState.I will post this to mailing list. Thanks. > Is it possible to use File Sink with mapGroupsWithState in Structured > Streaming? > -------------------------------------------------------------------------------- > > Key: SPARK-21249 > URL: https://issues.apache.org/jira/browse/SPARK-21249 > Project: Spark > Issue Type: Question > Components: Structured Streaming > Affects Versions: 2.2.0 > Reporter: Amit Baghel > Priority: Minor > > I am working with 2.2.0-SNAPSHOT and Structured Streaming. Is it possible to > use File Sink with mapGroupsWithState? I verified below cases and getting > exception in all. > * Aggregation without watermark and Append mode > {code} > Exception in thread "main" org.apache.spark.sql.AnalysisException: Append > output mode not supported when there are streaming aggregations on streaming > DataFrames/DataSets without watermark;; > {code} > * Aggregation with watermark and Append mode > {code} > Exception in thread "main" org.apache.spark.sql.AnalysisException: > mapGroupsWithState is not supported with aggregation on a streaming > DataFrame/Dataset;; > {code} > * No Aggregation and Append mode > {code} > Exception in thread "main" org.apache.spark.sql.AnalysisException: > mapGroupsWithState is not supported with Append output mode on a streaming > DataFrame/Dataset;; > {code} > * No Aggregation and Update mode > {code} > Exception in thread "main" org.apache.spark.sql.AnalysisException: Data > source parquet does not support Update output mode; > {code} > * No Aggregation and Complete mode > {code} > Exception in thread "main" org.apache.spark.sql.AnalysisException: Data > source parquet does not support Complete output mode; > {code} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org