[SPARK-24630] SPIP: Support SQLStreaming in Spark

• Type: Improvement
• Status: Resolved
• Priority: Minor
• Resolution: Incomplete
• Affects Version/s: 2.2.0, 2.2.1
• Component/s: Structured Streaming
• Labels: SQLStreaming bulk-closed
• Assignee: Unassigned
• Reporter: Jackey Lee
• Created: 22/Jun/18 10:49
• Updated: 25/May/21 01:53
• Resolved: 25/May/21 01:41

Description

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. 

Issue Links

• links to: [Github] Pull Request #22575 (stczwd)
• links to: GitHub Pull Request #22575