Hi， 场景其实很简单，就是通过Flink实时将kafka数据做个同步到hive。hive里创建了分区表。 我感觉这个场景很常见吧。之前以为是支持的，毕竟可以在通过hivecatalog创建kafka table。但是创建了不能写，有点不合理。 OK吧。想问下FLIP-115计划是在哪个release版本支持哈？1.11么？
在 2020-04-01 15:01:32，"Jingsong Li" <[email protected]> 写道： Hi, Batch模式来支持Kafka -> Hive，也是不推荐的哦，FLIP-115后才可以在streaming模式支持这类场景。 你可以描述下详细堆栈、应用场景、SQL吗？ Best, Jingsong Lee On Wed, Apr 1, 2020 at 2:56 PM sunfulin <[email protected]> wrote: 我使用batch mode时，又抛出了如下异常：感觉一步一个坑。。sigh org.apache.calcite.plan.RelOptPlanner$CannotPlanException: There are not enough rules to produce a node with desired properties 在 2020-04-01 14:49:41，"Jingsong Li" <[email protected]> 写道： >Hi, > >异常的意思是现在hive sink还不支持streaming模式，只能用于batch模式中。功能正在开发中[1] > >[1] >https://cwiki.apache.org/confluence/display/FLINK/FLIP-115%3A+Filesystem+connector+in+Table > >Best, >Jingsong Lee > >On Wed, Apr 1, 2020 at 2:32 PM sunfulin <[email protected]> wrote: > >> Hi, >> 我这边在使用Flink消费Kafka数据写入hive。配置连接都OK，但是在实际执行insert into >> xxx_table时，报了如下异常。这个看不懂啥原因，求大神指教。 >> cc @Jingsong Li @Jark Wu >> >> >> >> >> org.apache.flink.table.api.TableException: Stream Tables can only be >> emitted by AppendStreamTableSink, RetractStreamTableSink, or >> UpsertStreamTableSink. >> >> at >> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:136) >> >> at >> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:48) >> >> at >> org.apache.flink.table.planner.plan.nodes.exec.ExecNode.translateToPlan(ExecNode.scala:58) >> >> at >> org.apache.flink.table.planner.plan.nodes.exec.ExecNode.translateToPlan$(ExecNode.scala:56) >> >> at >> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlan(StreamExecSink.scala:48) >> >> at >> org.apache.flink.table.planner.delegation.StreamPlanner.$anonfun$translateToPlan$1(StreamPlanner.scala:60) >> >> at >> scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233) >> >> at scala.collection.Iterator.foreach(Iterator.scala:937) >> >> at scala.collection.Iterator.foreach$(Iterator.scala:937) >> >> at scala.collection.AbstractIterator.foreach(Iterator.scala:1425) >> >> at scala.collection.IterableLike.foreach(IterableLike.scala:70) >> >> at scala.collection.IterableLike.foreach$(IterableLike.scala:69) >> >> at scala.collection.AbstractIterable.foreach(Iterable.scala:54) >> >> at scala.collection.TraversableLike.map(TraversableLike.scala:233) >> >> at scala.collection.TraversableLike.map$(TraversableLike.scala:226) >> >> at scala.collection.AbstractTraversable.map(Traversable.scala:104) >> >> at >> org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:59) >> >> at >> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:153) >> >> at >> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:682) >> >> at >> org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:495) >> >> at >> com.htsc.crm_realtime.fatjob.Core.TableLoader.sqlUpdate(TableLoader.java:87) >> >> at >> com.htsc.crm_realtime.fatjob.Jobs.hive.SensorData2Hive.doJob(SensorData2Hive.j > > > >-- >Best, Jingsong Lee -- Best, Jingsong Lee
