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Postgres update INTEGER column from JSONB


Add a column with a default value to an existing table in SQL ServerHow do I UPDATE from a SELECT in SQL Server?How to exit from PostgreSQL command line utility: psqlpostgres: upgrade a user to be a superuser?Explanation of JSONB introduced by PostgreSQLJSONB performance degrades as number of keys increasePerformance issues jsonb in PostgresOptimizing Postgres JSONB query with not null constraintAggregating values on JSONB fieldPostgres JSONB timestamp query very slow compared to timestamp column query






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0















I have a table cart:



 id | value | metadata
--------+-------+-------------------
45417 | 0 | "value": "1300"
45418 | 0 | "value": "1300"
276021 | 0 | "value": "1300"


and I'm trying to UPDATE the value column with the value in the JSONB metadata if it exists. I come up with the following query:



UPDATE cart SET value=CAST(subquery.meta_val as INTEGER) FROM
(SELECT id, metadata->>'value' as meta_val FROM cart
WHERE value = 0 AND
metadata->>'value' IS NOT NULL) as subquery
WHERE cart.id=subquery.id;


Now this works but it takes quite a lot of time for 4M rows I want to update on production and it looks to me like there is a lot of redundancy in the query.



I think the next step would be to wrap all this in a transaction and improve the query, is there anything that can be done to improve performance out of this query ?










share|improve this question






























    0















    I have a table cart:



     id | value | metadata
    --------+-------+-------------------
    45417 | 0 | "value": "1300"
    45418 | 0 | "value": "1300"
    276021 | 0 | "value": "1300"


    and I'm trying to UPDATE the value column with the value in the JSONB metadata if it exists. I come up with the following query:



    UPDATE cart SET value=CAST(subquery.meta_val as INTEGER) FROM
    (SELECT id, metadata->>'value' as meta_val FROM cart
    WHERE value = 0 AND
    metadata->>'value' IS NOT NULL) as subquery
    WHERE cart.id=subquery.id;


    Now this works but it takes quite a lot of time for 4M rows I want to update on production and it looks to me like there is a lot of redundancy in the query.



    I think the next step would be to wrap all this in a transaction and improve the query, is there anything that can be done to improve performance out of this query ?










    share|improve this question


























      0












      0








      0








      I have a table cart:



       id | value | metadata
      --------+-------+-------------------
      45417 | 0 | "value": "1300"
      45418 | 0 | "value": "1300"
      276021 | 0 | "value": "1300"


      and I'm trying to UPDATE the value column with the value in the JSONB metadata if it exists. I come up with the following query:



      UPDATE cart SET value=CAST(subquery.meta_val as INTEGER) FROM
      (SELECT id, metadata->>'value' as meta_val FROM cart
      WHERE value = 0 AND
      metadata->>'value' IS NOT NULL) as subquery
      WHERE cart.id=subquery.id;


      Now this works but it takes quite a lot of time for 4M rows I want to update on production and it looks to me like there is a lot of redundancy in the query.



      I think the next step would be to wrap all this in a transaction and improve the query, is there anything that can be done to improve performance out of this query ?










      share|improve this question














      I have a table cart:



       id | value | metadata
      --------+-------+-------------------
      45417 | 0 | "value": "1300"
      45418 | 0 | "value": "1300"
      276021 | 0 | "value": "1300"


      and I'm trying to UPDATE the value column with the value in the JSONB metadata if it exists. I come up with the following query:



      UPDATE cart SET value=CAST(subquery.meta_val as INTEGER) FROM
      (SELECT id, metadata->>'value' as meta_val FROM cart
      WHERE value = 0 AND
      metadata->>'value' IS NOT NULL) as subquery
      WHERE cart.id=subquery.id;


      Now this works but it takes quite a lot of time for 4M rows I want to update on production and it looks to me like there is a lot of redundancy in the query.



      I think the next step would be to wrap all this in a transaction and improve the query, is there anything that can be done to improve performance out of this query ?







      sql postgresql jsonb






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 27 at 1:22









      PepperoniPizzaPepperoniPizza

      4,0355 gold badges38 silver badges74 bronze badges




      4,0355 gold badges38 silver badges74 bronze badges

























          1 Answer
          1






          active

          oldest

          votes


















          1














          Try it without a subquery.



          update cart as c
          set value = coalesce((c.metadata->>'value')::int, 0)





          share|improve this answer




















          • 1





            Or if you want to leave the value unperturbed, then instead of 0, just use c.value

            – Rob Taylor
            Mar 27 at 3:30










          Your Answer






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          1 Answer
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          active

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          Try it without a subquery.



          update cart as c
          set value = coalesce((c.metadata->>'value')::int, 0)





          share|improve this answer




















          • 1





            Or if you want to leave the value unperturbed, then instead of 0, just use c.value

            – Rob Taylor
            Mar 27 at 3:30















          1














          Try it without a subquery.



          update cart as c
          set value = coalesce((c.metadata->>'value')::int, 0)





          share|improve this answer




















          • 1





            Or if you want to leave the value unperturbed, then instead of 0, just use c.value

            – Rob Taylor
            Mar 27 at 3:30













          1












          1








          1







          Try it without a subquery.



          update cart as c
          set value = coalesce((c.metadata->>'value')::int, 0)





          share|improve this answer













          Try it without a subquery.



          update cart as c
          set value = coalesce((c.metadata->>'value')::int, 0)






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 27 at 3:29









          Rob TaylorRob Taylor

          4592 silver badges8 bronze badges




          4592 silver badges8 bronze badges










          • 1





            Or if you want to leave the value unperturbed, then instead of 0, just use c.value

            – Rob Taylor
            Mar 27 at 3:30












          • 1





            Or if you want to leave the value unperturbed, then instead of 0, just use c.value

            – Rob Taylor
            Mar 27 at 3:30







          1




          1





          Or if you want to leave the value unperturbed, then instead of 0, just use c.value

          – Rob Taylor
          Mar 27 at 3:30





          Or if you want to leave the value unperturbed, then instead of 0, just use c.value

          – Rob Taylor
          Mar 27 at 3:30








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