You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "sunjincheng (JIRA)" <ji...@apache.org> on 2017/06/11 13:05:18 UTC
[jira] [Updated] (FLINK-6886) Fix Timestamp field can not be
selected in event time case when toDataStream[T], `T` not a `Row` Type.
[ https://issues.apache.org/jira/browse/FLINK-6886?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
sunjincheng updated FLINK-6886:
-------------------------------
Description:
Currently for event-time window(group/over), When contain `Timestamp` type field in `SELECT Clause`, And toDataStream[T], `T` not a `Row` Type, Such `PojoType`, will throw a exception. In this JIRA. will fix this bug. For example:
Group Window on SQL:
{code}
SELECT name, max(num) as myMax, TUMBLE_START(rowtime, INTERVAL '5' SECOND) as winStart,TUMBLE_END(rowtime, INTERVAL '5' SECOND) as winEnd FROM T1 GROUP BY name, TUMBLE(rowtime, INTERVAL '5' SECOND)
{code}
Throw Exception:
{code}
org.apache.flink.table.api.TableException: The field types of physical and logical row types do not match.This is a bug and should not happen. Please file an issue.
at org.apache.flink.table.api.TableException$.apply(exceptions.scala:53)
at org.apache.flink.table.api.TableEnvironment.generateRowConverterFunction(TableEnvironment.scala:721)
at org.apache.flink.table.api.StreamTableEnvironment.getConversionMapper(StreamTableEnvironment.scala:247)
at org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:647)
{code}
In fact, when we solve this exception,subsequent other exceptions will be thrown. The real reason is {{TableEnvironment#generateRowConverterFunction}} method bug. So in this JIRA. will fix it.
was:Currently for event-time window(group/over), When contain `Timestamp` type field in `SELECT Clause`, And toDataStream[T], `T` not a `Row` Type, Such `PojoType`, will throw a exception. In this JIRA. will fix this bug.
> Fix Timestamp field can not be selected in event time case when toDataStream[T], `T` not a `Row` Type.
> -------------------------------------------------------------------------------------------------------
>
> Key: FLINK-6886
> URL: https://issues.apache.org/jira/browse/FLINK-6886
> Project: Flink
> Issue Type: Bug
> Components: Table API & SQL
> Affects Versions: 1.4.0
> Reporter: sunjincheng
> Assignee: sunjincheng
>
> Currently for event-time window(group/over), When contain `Timestamp` type field in `SELECT Clause`, And toDataStream[T], `T` not a `Row` Type, Such `PojoType`, will throw a exception. In this JIRA. will fix this bug. For example:
> Group Window on SQL:
> {code}
> SELECT name, max(num) as myMax, TUMBLE_START(rowtime, INTERVAL '5' SECOND) as winStart,TUMBLE_END(rowtime, INTERVAL '5' SECOND) as winEnd FROM T1 GROUP BY name, TUMBLE(rowtime, INTERVAL '5' SECOND)
> {code}
> Throw Exception:
> {code}
> org.apache.flink.table.api.TableException: The field types of physical and logical row types do not match.This is a bug and should not happen. Please file an issue.
> at org.apache.flink.table.api.TableException$.apply(exceptions.scala:53)
> at org.apache.flink.table.api.TableEnvironment.generateRowConverterFunction(TableEnvironment.scala:721)
> at org.apache.flink.table.api.StreamTableEnvironment.getConversionMapper(StreamTableEnvironment.scala:247)
> at org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:647)
> {code}
> In fact, when we solve this exception,subsequent other exceptions will be thrown. The real reason is {{TableEnvironment#generateRowConverterFunction}} method bug. So in this JIRA. will fix it.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)