Jark Wu created FLINK-13699:
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Summary: Fix TableFactory doesn't work with DDL when containing
TIMESTAMP/DATE/TIME types
Key: FLINK-13699
URL: https://issues.apache.org/jira/browse/FLINK-13699
Project: Flink
Issue Type: Bug
Components: Table SQL / API, Table SQL / Planner
Affects Versions: 1.9.0
Reporter: Jark Wu
Assignee: Jark Wu
Currently, in blink planner, we will convert DDL to {{TableSchema}} with new
type system, i.e. DataTypes.TIMESTAMP()/DATE()/TIME() whose underlying
TypeInformation are Types.LOCAL_DATETIME/LOCAL_DATE/LOCAL_TIME.
However, this makes the existing connector implementations (Kafka, ES, CSV,
etc..) don't work because they only accept the old TypeInformations
(Types.SQL_TIMESTAMP/SQL_DATE/SQL_TIME).
A simple solution is encode DataTypes.TIMESTAMP() as "TIMESTAMP" when
translating to properties. And will be converted back to the old
TypeInformation: Types.SQL_TIMESTAMP. This would fix all factories at once.
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