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Maciej BryĆski commented on SPARK-16534: ---------------------------------------- [~rxin] I understand your point of view, but I think that DStreams are sometimes the only option. (especially when there is no support for datasets in Python world) I'm using df.rdd.map a lot in my ETLs and dstreams are natural continuation when moving from batch to streaming world. Right now I have production streaming environment developed in Python and I'm looking forward to use new Kafka API. (mostly because of SSL support, but other features too) And I hope that I'm not the only one. Could we back to work on this feature ? > Kafka 0.10 Python support > ------------------------- > > Key: SPARK-16534 > URL: https://issues.apache.org/jira/browse/SPARK-16534 > Project: Spark > Issue Type: Sub-task > Components: Streaming > Reporter: Tathagata Das > -- 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