Github user sujith71955 commented on a diff in the pull request: https://github.com/apache/spark/pull/22575#discussion_r239500890 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala --- @@ -631,6 +631,33 @@ object SQLConf { .intConf .createWithDefault(200) + val SQLSTREAM_WATERMARK_ENABLE = buildConf("spark.sqlstreaming.watermark.enable") + .doc("Whether use watermark in sqlstreaming.") + .booleanConf + .createWithDefault(false) + + val SQLSTREAM_OUTPUTMODE = buildConf("spark.sqlstreaming.outputMode") + .doc("The output mode used in sqlstreaming") + .stringConf + .createWithDefault("append") + + val SQLSTREAM_TRIGGER = buildConf("spark.sqlstreaming.trigger") --- End diff -- so here stream-stream join is not supported right? to elaborate can i create two stream source tables and then join both and write to sink? because if i want to create two streams for 2 different topics, i may need to provide different configurations for watermark or window or rigger interval.
--- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org