试group by A，报错说ROW类型无法group by。这种应该如何处理哈？

请教大家一个问题，我在一个sink table里定义了一个column A，类型是Row<c1 varchar, c2 varchar>。 在通过Flink SQL 做sink的时候，尝试group by A，报错说ROW类型无法group by。这种应该如何处理哈？

使用flink 1.10.1 blink planner

org.apache.flink.table.api.ValidationException: Only simple types that can be safely converted into a string representation can be used as keys. But was: Row(commentId: String, commentContent: String) at org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchUpsertTableSinkBase.validateKeyTypes(ElasticsearchUpsertTableSinkBase.java:310) at org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchUpsertTableSinkBase.setKeyFields(ElasticsearchUpsertTableSinkBase.java:152) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:111) 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.sc请教大家一个问题，我在一个sink table里定义了一个column A，类型是Row<c1 varchar, c2 varchar>。 在通过Flink SQL 做sink的时候，尝试group by A，报错说ROW类型无法group by。这种应该如何处理哈？

使用flink 1.10.1 blink planner

org.apache.flink.table.api.ValidationException: Only simple types that can be safely converted into a string representation can be used as keys. But was: Row(commentId: String, commentContent: String) at org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchUpsertTableSinkBase.validateKeyTypes(ElasticsearchUpsertTableSinkBase.java:310) at org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchUpsertTableSinkBase.setKeyFields(ElasticsearchUpsertTableSinkBase.java:152) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:111) 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:685) at org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:495) at com.htsc.crm_realtime.fatjob.Core.TableLoader.sqlUpdate(TableLoader.java:93) at com.htsc.crm_realtime.fatjob.Jobs.zhibo.ArotaLiveZLCFTRealtimeJob.doJob(ArotaLiveZLCFTRealtimeJob.java:42) at com.htsc.crm_realtime.fatjob.Jobs.JobEntryBase.run(JobEntryBase.java:65) at com.htsc.crm_realtime.fatjob.Jobs.zhibo.ArotaLiveZLCFTRealtimeJob.main(ArotaLiveZLCFTRealtimeJob.java:47)

*来自志愿者整理的flink邮件归档ala:153) at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:685) at org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:495) at com.htsc.crm_realtime.fatjob.Core.TableLoader.sqlUpdate(TableLoader.java:93) at com.htsc.crm_realtime.fatjob.Jobs.zhibo.ArotaLiveZLCFTRealtimeJob.doJob(ArotaLiveZLCFTRealtimeJob.java:42) at com.htsc.crm_realtime.fatjob.Jobs.JobEntryBase.run(JobEntryBase.java:65) at com.htsc.crm_realtime.fatjob.Jobs.zhibo.ArotaLiveZLCFTRealtimeJob.main(ArotaLiveZLCFTRealtimeJob.java:47)

*来自志愿者整理的flink邮件归档-