Correlated column error in Databricks SQL cell












0















I have a SQL query in Jupiter Notebook on Azure Databricks that is giving me the following error



Error in SQL statement: AnalysisException: Correlated column is not allowed in a non-equality predicate:



The query looks something like this



Select p.PrdId, p.ProductDescription, p.PoolId, p.UomId, p.MpgId, 
(Select First(ToDemandGroupId) From MasterData.UpdatesToProduct up Where
(
IsNull(up.DemandGroupId) = 0
Or
up.DemandGroupId = p.DemandGroupId
) ) as DemandGroupId1
From Raw.ProductPreUpdates p


If I do either of the 2 parts in the where clause of the subquery separately then the query works, but when both pieces are there it gives this error. So if I have just IsNull(up.DemandGroupId) = 0 it works or if I have just up.DemandGroupId = p.DemandGroupId it works, but not with both.



The problem is with the p.DemandGroupId part of the query. If I replace up.DemandGroupId = p.DemandGroupId with up.DemandGroupId = 4, then that also works.










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    0















    I have a SQL query in Jupiter Notebook on Azure Databricks that is giving me the following error



    Error in SQL statement: AnalysisException: Correlated column is not allowed in a non-equality predicate:



    The query looks something like this



    Select p.PrdId, p.ProductDescription, p.PoolId, p.UomId, p.MpgId, 
    (Select First(ToDemandGroupId) From MasterData.UpdatesToProduct up Where
    (
    IsNull(up.DemandGroupId) = 0
    Or
    up.DemandGroupId = p.DemandGroupId
    ) ) as DemandGroupId1
    From Raw.ProductPreUpdates p


    If I do either of the 2 parts in the where clause of the subquery separately then the query works, but when both pieces are there it gives this error. So if I have just IsNull(up.DemandGroupId) = 0 it works or if I have just up.DemandGroupId = p.DemandGroupId it works, but not with both.



    The problem is with the p.DemandGroupId part of the query. If I replace up.DemandGroupId = p.DemandGroupId with up.DemandGroupId = 4, then that also works.










    share|improve this question



























      0












      0








      0








      I have a SQL query in Jupiter Notebook on Azure Databricks that is giving me the following error



      Error in SQL statement: AnalysisException: Correlated column is not allowed in a non-equality predicate:



      The query looks something like this



      Select p.PrdId, p.ProductDescription, p.PoolId, p.UomId, p.MpgId, 
      (Select First(ToDemandGroupId) From MasterData.UpdatesToProduct up Where
      (
      IsNull(up.DemandGroupId) = 0
      Or
      up.DemandGroupId = p.DemandGroupId
      ) ) as DemandGroupId1
      From Raw.ProductPreUpdates p


      If I do either of the 2 parts in the where clause of the subquery separately then the query works, but when both pieces are there it gives this error. So if I have just IsNull(up.DemandGroupId) = 0 it works or if I have just up.DemandGroupId = p.DemandGroupId it works, but not with both.



      The problem is with the p.DemandGroupId part of the query. If I replace up.DemandGroupId = p.DemandGroupId with up.DemandGroupId = 4, then that also works.










      share|improve this question
















      I have a SQL query in Jupiter Notebook on Azure Databricks that is giving me the following error



      Error in SQL statement: AnalysisException: Correlated column is not allowed in a non-equality predicate:



      The query looks something like this



      Select p.PrdId, p.ProductDescription, p.PoolId, p.UomId, p.MpgId, 
      (Select First(ToDemandGroupId) From MasterData.UpdatesToProduct up Where
      (
      IsNull(up.DemandGroupId) = 0
      Or
      up.DemandGroupId = p.DemandGroupId
      ) ) as DemandGroupId1
      From Raw.ProductPreUpdates p


      If I do either of the 2 parts in the where clause of the subquery separately then the query works, but when both pieces are there it gives this error. So if I have just IsNull(up.DemandGroupId) = 0 it works or if I have just up.DemandGroupId = p.DemandGroupId it works, but not with both.



      The problem is with the p.DemandGroupId part of the query. If I replace up.DemandGroupId = p.DemandGroupId with up.DemandGroupId = 4, then that also works.







      apache-spark apache-spark-sql databricks azure-databricks






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 28 '18 at 20:12







      Paul Cavacas

















      asked Nov 28 '18 at 17:57









      Paul CavacasPaul Cavacas

      94311437




      94311437
























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