Jackey Lee created SPARK-24630:
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             Summary: Support SQLStreaming in Spark
                 Key: SPARK-24630
                 URL: https://issues.apache.org/jira/browse/SPARK-24630
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.2.1, 2.2.0
            Reporter: Jackey Lee


At present, KafkaSQL, Flink SQL(which is actually based on Calcite), SQLStream, 
StormSQL all provide a stream type SQL interface, with which users with little 
knowledge about streaming,  can easily develop a flow system processing model. 
In Spark, we can also support SQL API based on StructStreamig.

To support for SQL Streaming, there are two key points: 
1, Analysis should be able to parse streaming type SQL. 
2, Analyzer should be able to map metadata information to the corresponding 
Relation. 



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