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Type:
Improvement
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Status: In Progress
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Priority:
Minor
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Resolution: Unresolved
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Affects Version/s: 2.2.0, 2.2.1
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Fix Version/s: None
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Component/s: Structured Streaming
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Labels:
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.
