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https://issues.apache.org/jira/browse/FLINK-14549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jark Wu updated FLINK-14549:
----------------------------
Affects Version/s: (was: 1.9.1)
> Improve exception message when schema is not matched between query and sink
> ---------------------------------------------------------------------------
>
> Key: FLINK-14549
> URL: https://issues.apache.org/jira/browse/FLINK-14549
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Reporter: Leonard Xu
> Assignee: Leonard Xu
> Priority: Minor
> Labels: pull-request-available
> Fix For: 1.10.0
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> We use DataType‘s conversionClass name in validating the query result's field
> type and sink table schema which is no precise when the DataType has
> variable parameters like DECIMAL(p,s)、TIMESTAMP(p).
> {code:java}
> Exception in thread "main" org.apache.flink.table.api.ValidationException:
> Field types of query result and registered TableSink
> `default_catalog`.`default_database`.`q2_sinkTable` do not match.
> Query result schema: [d_week_seq1: Long, EXPR$1: BigDecimal, EXPR$2:
> BigDecimal]
> TableSink schema: [d_week_seq1: Long, EXPR$1: BigDecimal, EXPR$2:
> BigDecimal]
> at
> org.apache.flink.table.planner.sinks.TableSinkUtils$.validateSink(TableSinkUtils.scala:68)
> at
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:179)
> at
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:178)
> {code}
> Using logicalType will be more precise and clear to user as following:
> {code:java}
> Exception in thread "main" org.apache.flink.table.api.ValidationException:
> Field types of query result and registered TableSink
> `default_catalog`.`default_database`.`q2_sinkTable` do not match.
> Query result schema: [d_week_seq1: BIGINT, EXPR$1: DECIMAL(35, 2), EXPR$2:
> DECIMAL(35, 2)]
> TableSink schema: [d_week_seq1: BIGINT, EXPR$1: DECIMAL(35, 3), EXPR$2:
> DECIMAL(35, 3)]
> at
> org.apache.flink.table.planner.sinks.TableSinkUtils$.validateSink(TableSinkUtils.scala:68)
> at
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:179)
> at
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:178)
> {code}
>
>
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