This may be due to not understanding lateral joins in Flink – perhaps you can only do so on temporal variables – but I figured I’d ask since the error message isn’t intuitive.
I am trying to do a combination of a lateral join and a top N query. Part of my ordering is based upon whether the a value in the left side of the query matches up. I’m trying to do this in the general form of: SELECT t1.id, t1.attr1, t2.attr2 FROM table1 t1 LEFT JOIN LATERAL ( SELECT id, attr2 FROM ( SELECT id, attr2, ROW_NUMBER() OVER ( PARTITION BY id ORDER BY attr3 DESC, t1.attr4 = attr4 DESC ) AS row_num FROM table2 WHERE row_num = 1) t2 ON (t1.id = t2.id) I am getting an error that looks like: Exception in thread "main" org.apache.flink.table.api.TableException: unexpected correlate variable $cor2 in the plan at org.apache.flink.table.planner.plan.optimize.program.FlinkDecorrelateProgram.checkCorrelVariableExists(FlinkDecorrelateProgram.scala:58) at org.apache.flink.table.planner.plan.optimize.program.FlinkDecorrelateProgram.optimize(FlinkDecorrelateProgram.scala:42) at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.$anonfun$optimize$1(FlinkChainedProgram.scala:62) at scala.collection.TraversableOnce$folder$1$.apply(TraversableOnce.scala:187) at scala.collection.TraversableOnce$folder$1$.apply(TraversableOnce.scala:185) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943) at scala.collection.AbstractIterator.foreach(Iterator.scala:1431) at scala.collection.IterableLike.foreach(IterableLike.scala:74) at scala.collection.IterableLike.foreach$(IterableLike.scala:73) at scala.collection.AbstractIterable.foreach(Iterable.scala:56) at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:189) at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:184) at scala.collection.AbstractTraversable.foldLeft(Traversable.scala:108) at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.optimize(FlinkChainedProgram.scala:58) at org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.optimizeTree(StreamCommonSubGraphBasedOptimizer.scala:163) at org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.doOptimize(StreamCommonSubGraphBasedOptimizer.scala:83) at org.apache.flink.table.planner.plan.optimize.CommonSubGraphBasedOptimizer.optimize(CommonSubGraphBasedOptimizer.scala:77) at org.apache.flink.table.planner.delegation.PlannerBase.optimize(PlannerBase.scala:294) at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:164) at org.apache.flink.table.api.bridge.scala.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.scala:178) at org.apache.flink.table.api.bridge.scala.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.scala:113) at org.apache.flink.table.api.bridge.scala.TableConversions.toRetractStream(TableConversions.scala:97) at io.oseberg.flink.well.ok.Job$.main(Job.scala:57) at io.oseberg.flink.well.ok.Job.main(Job.scala) The only other thing I can think of doing is creating a Table Aggregate function to pull this off. But, I wanted to check to make sure I wasn’t doing something wrong in the above first, or if there is something I’m not thinking of doing. Regards, Dylan Forciea