Hi： 我使用CDC组件debezium将MySQL中的维表数据实时发送到kafka，然后使用flinkSQL消费kafka的数据，具体流程如下： [image: image.png] [image: image.png] 分组计算的SQL如下： [image: image.png] 在执行计算时，报了如下异常： Exception in thread "main" org.apache.flink.table.api.TableException: GroupWindowAggregate doesn't support consuming update and delete changes which is produced by node TableSourceScan(table=[[default_catalog, default_database, t_order, watermark=[-(TO_TIMESTAMP(FROM_UNIXTIME(/($1, 1000))), 3000:INTERVAL SECOND)]]], fields=[id, timestamps, orderInformationId, userId, categoryId, productId, price, productCount, priceSum, shipAddress, receiverAddress]) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.createNewNode(FlinkChangelogModeInferenceProgram.scala:380) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.visit(FlinkChangelogModeInferenceProgram.scala:298) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.visitChild(FlinkChangelogModeInferenceProgram.scala:337) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.$anonfun$visitChildren$1(FlinkChangelogModeInferenceProgram.scala:326) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.$anonfun$visitChildren$1$adapted(FlinkChangelogModeInferenceProgram.scala:325) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233) at scala.collection.immutable.Range.foreach(Range.scala:155) at scala.collection.TraversableLike.map(TraversableLike.scala:233) at scala.collection.TraversableLike.map$(TraversableLike.scala:226) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.visitChildren(FlinkChangelogModeInferenceProgram.scala:325) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.visit(FlinkChangelogModeInferenceProgram.scala:275) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.visitChild(FlinkChangelogModeInferenceProgram.scala:337) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.$anonfun$visitChildren$1(FlinkChangelogModeInferenceProgram.scala:326) at org.apache.flink.table.planner.plan.optimize.program.FlinkChangelogModeInferenceProgram$SatisfyModifyKindSetTraitVisitor.$anonfun$visitChildren$1$adapted(FlinkChangelogModeInferenceProgram.scala:325) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233)
我的初步理解是FlinkSQL 不支持这样CDC这样由插入、更新、删除的流的分组聚合。 那面对我这样的情况，该用什么方案来解决？ 望知道的各位告知一下，感谢！ 祝好
