Hi Michael, That reflects my sentiments so well. Thanks for having confirmed my thoughts!
https://issues.apache.org/jira/browse/SPARK-21667 Pozdrawiam, Jacek Laskowski ---- https://medium.com/@jaceklaskowski/ Mastering Apache Spark 2 https://bit.ly/mastering-apache-spark Follow me at https://twitter.com/jaceklaskowski On Tue, Aug 8, 2017 at 12:37 AM, Michael Armbrust <mich...@databricks.com> wrote: > I think there is really no good reason for this limitation. > > On Mon, Aug 7, 2017 at 2:58 AM, Jacek Laskowski <ja...@japila.pl> wrote: >> >> Hi, >> >> While exploring checkpointing with kafka source and console sink I've >> got the exception: >> >> // today's build from the master >> scala> spark.version >> res8: String = 2.3.0-SNAPSHOT >> >> scala> val q = records. >> | writeStream. >> | format("console"). >> | option("truncate", false). >> | option("checkpointLocation", "/tmp/checkpoint"). // <-- >> checkpoint directory >> | trigger(Trigger.ProcessingTime(10.seconds)). >> | outputMode(OutputMode.Update). >> | start >> org.apache.spark.sql.AnalysisException: This query does not support >> recovering from checkpoint location. Delete /tmp/checkpoint/offsets to >> start over.; >> at >> org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:222) >> at >> org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:278) >> at >> org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:284) >> ... 61 elided >> >> The "trigger" is the change >> https://issues.apache.org/jira/browse/SPARK-16116 and this line in >> particular >> https://github.com/apache/spark/pull/13817/files#diff-d35e8fce09686073f81de598ed657de7R277. >> >> Why is this needed? I can't think of a use case where console sink >> could not recover from checkpoint location (since all the information >> is available). I'm lost on it and would appreciate some help (to >> recover :)) >> >> Pozdrawiam, >> Jacek Laskowski >> ---- >> https://medium.com/@jaceklaskowski/ >> Mastering Apache Spark 2 https://bit.ly/mastering-apache-spark >> Follow me at https://twitter.com/jaceklaskowski >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
