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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