Of course there are java.sql.* and java.time.* in Java but it's also true that most of the times the POJOs you read come from an external (Maven) lib and if such POJOs contain date fields you have to create a local version of that POJO having the java.util.Date fields replaced by a java.sql.Date version of them. Moreover you also have to create a conversion function from the original POJO to the Flink-specific one source (and this is very annoying expecially because if the POJO gets modified you have to check that your conversion function is updated accordingly).
Summarising, it is possible to work around this limitation but it's very uncomfortable (IMHO) On Mon, Jul 8, 2019 at 11:52 AM JingsongLee <lzljs3620...@aliyun.com> wrote: > Flink 1.9 blink runner will support it as Generic Type, > But I don't recommend it. After all, there are java.sql.Date and > java.time.* in Java. > > Best, JingsongLee > > ------------------------------------------------------------------ > From:Flavio Pompermaier <pomperma...@okkam.it> > Send Time:2019年7月8日(星期一) 15:40 > To:JingsongLee <lzljs3620...@aliyun.com> > Cc:user <user@flink.apache.org> > Subject:Re: Flink Table API and Date fields > > I think I could do it for this specific use case but isn't this a big > limitation of Table API? > I think that java.util.Date should be a first class citizen in Flink.. > > Best, > Flavio > > On Mon, Jul 8, 2019 at 4:06 AM JingsongLee <lzljs3620...@aliyun.com> > wrote: > Hi Flavio: > Looks like you use java.util.Date in your pojo, Now Flink table not > support BasicTypeInfo.DATE_TYPE_INFO > because of the limitations of some judgments in the code. > Can you use java.sql.Date? > > Best, JingsongLee > > ------------------------------------------------------------------ > From:Flavio Pompermaier <pomperma...@okkam.it> > Send Time:2019年7月5日(星期五) 22:52 > To:user <user@flink.apache.org> > Subject:Flink Table API and Date fields > > Hi to all, > in my use case I have a stream of POJOs with Date fields. > When I use Table API I get the following error: > > Exception in thread "main" org.apache.flink.table.api.ValidationException: > SQL validation failed. Type is not supported: Date > at > org.apache.flink.table.calcite.FlinkPlannerImpl.validate(FlinkPlannerImpl.scala:112) > at > org.apache.flink.table.planner.StreamPlanner.toRel(StreamPlanner.scala:148) > at > org.apache.flink.table.planner.StreamPlanner.parse(StreamPlanner.scala:114) > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlQuery(TableEnvironmentImpl.java:268) > Caused by: org.apache.flink.table.api.TableException: Type is not > supported: Date > at > org.apache.flink.table.calcite.FlinkTypeFactory$.org$apache$flink$table$calcite$FlinkTypeFactory$$typeInfoToSqlTypeName(FlinkTypeFactory.scala:357) > > > Is there a way to deal with this without converting the Date field to a > Long one? > > Best, > Flavio > >