GitHub user stczwd opened a pull request: https://github.com/apache/spark/pull/22575
[SPARK-24630][SS][WIP] Support SQLStreaming in Spark ## What changes were proposed in this pull request? This patch propose new support of SQLStreaming in Spark, Please refer [SPARK-24630](https://issues.apache.org/jira/browse/SPARK-24630) for more details. This patch supports: 1. Support create stream table, which can be used as Source and Sink in SQLStreaming; `create table kafka_sql_test using kafka options( isStreaming = 'true', subscribe = 'topic', kafka.bootstrap.servers = 'localhost:9092')` 2. Add keyword 'STREAM' in sql to support SQLStreaming queries; `select stream * from kafka_sql_test` 3. As for those complex queries, they all can be supported as long as SQL and StructStreaming support. ## How was this patch tested? Some UTs are added to verify sqlstreaming. You can merge this pull request into a Git repository by running: $ git pull https://github.com/stczwd/spark sqlstreaming Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/22575.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #22575 ---- commit af26ea77157a7ff4e0a2c5eecec64c57f73c425d Author: Jackey Lee <qcsd2011@...> Date: 2018-09-28T01:04:17Z Support SQLStreaming in Spark: Add keyword 'STREAM'; Support create stream table ---- --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org