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Query with conditional JOIN running slow


sql server partitioned view execution plan questionsConditional Join - Specific Column SelectFull outer join does not work for two small tables, error 1064Poor performance on inner join using dates and betweenNew query slower even if it has less logical reads than the old oneLogical read when use Offset in SQLIndex lost while joining on unionMost efficient way to join two tables with MAX valueHow does LEFT JOIN with WHERE clause works?High processor utilization when running a stored procedure













2















I have a query the first part of which looks like this -



With CTE AS (
select DISTINCT
A.col1,
A.col2,
.
.
.
from tableA A
JOIN tableB B ON
(
B.col3= 'X' and B.col4=A.col3
OR
B.col3= 'Y' and B.col4=A.col4
OR
.
.
.
.
)

)


Now this query runs for more than 4 minutes and the execution plan showed a table spool which was data size of 600 MB and looked like this -



enter image description here



I changed this to conditional JOIN to UNIONs -



With CTE AS (
select
A.col1,
A.col2,
.
.
.
from tableA A
JOIN tableB B ON
(
B.col3= 'X' and B.col4=A.col3
)
UNION
select
A.col1,
A.col2,
.
.
.
from tableA A
JOIN tableB B ON
(
B.col3= 'Y' and B.col4=A.col4
)
UNION
.
.
.

)


Now the spool with the large number of rows vanished and the run time reduced to 17 seconds. However when I check the IO statistics, the logical reads are higher than the previous slower query. What could the reason be ?










share|improve this question














bumped to the homepage by Community 1 min ago


This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.




















    2















    I have a query the first part of which looks like this -



    With CTE AS (
    select DISTINCT
    A.col1,
    A.col2,
    .
    .
    .
    from tableA A
    JOIN tableB B ON
    (
    B.col3= 'X' and B.col4=A.col3
    OR
    B.col3= 'Y' and B.col4=A.col4
    OR
    .
    .
    .
    .
    )

    )


    Now this query runs for more than 4 minutes and the execution plan showed a table spool which was data size of 600 MB and looked like this -



    enter image description here



    I changed this to conditional JOIN to UNIONs -



    With CTE AS (
    select
    A.col1,
    A.col2,
    .
    .
    .
    from tableA A
    JOIN tableB B ON
    (
    B.col3= 'X' and B.col4=A.col3
    )
    UNION
    select
    A.col1,
    A.col2,
    .
    .
    .
    from tableA A
    JOIN tableB B ON
    (
    B.col3= 'Y' and B.col4=A.col4
    )
    UNION
    .
    .
    .

    )


    Now the spool with the large number of rows vanished and the run time reduced to 17 seconds. However when I check the IO statistics, the logical reads are higher than the previous slower query. What could the reason be ?










    share|improve this question














    bumped to the homepage by Community 1 min ago


    This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.


















      2












      2








      2








      I have a query the first part of which looks like this -



      With CTE AS (
      select DISTINCT
      A.col1,
      A.col2,
      .
      .
      .
      from tableA A
      JOIN tableB B ON
      (
      B.col3= 'X' and B.col4=A.col3
      OR
      B.col3= 'Y' and B.col4=A.col4
      OR
      .
      .
      .
      .
      )

      )


      Now this query runs for more than 4 minutes and the execution plan showed a table spool which was data size of 600 MB and looked like this -



      enter image description here



      I changed this to conditional JOIN to UNIONs -



      With CTE AS (
      select
      A.col1,
      A.col2,
      .
      .
      .
      from tableA A
      JOIN tableB B ON
      (
      B.col3= 'X' and B.col4=A.col3
      )
      UNION
      select
      A.col1,
      A.col2,
      .
      .
      .
      from tableA A
      JOIN tableB B ON
      (
      B.col3= 'Y' and B.col4=A.col4
      )
      UNION
      .
      .
      .

      )


      Now the spool with the large number of rows vanished and the run time reduced to 17 seconds. However when I check the IO statistics, the logical reads are higher than the previous slower query. What could the reason be ?










      share|improve this question














      I have a query the first part of which looks like this -



      With CTE AS (
      select DISTINCT
      A.col1,
      A.col2,
      .
      .
      .
      from tableA A
      JOIN tableB B ON
      (
      B.col3= 'X' and B.col4=A.col3
      OR
      B.col3= 'Y' and B.col4=A.col4
      OR
      .
      .
      .
      .
      )

      )


      Now this query runs for more than 4 minutes and the execution plan showed a table spool which was data size of 600 MB and looked like this -



      enter image description here



      I changed this to conditional JOIN to UNIONs -



      With CTE AS (
      select
      A.col1,
      A.col2,
      .
      .
      .
      from tableA A
      JOIN tableB B ON
      (
      B.col3= 'X' and B.col4=A.col3
      )
      UNION
      select
      A.col1,
      A.col2,
      .
      .
      .
      from tableA A
      JOIN tableB B ON
      (
      B.col3= 'Y' and B.col4=A.col4
      )
      UNION
      .
      .
      .

      )


      Now the spool with the large number of rows vanished and the run time reduced to 17 seconds. However when I check the IO statistics, the logical reads are higher than the previous slower query. What could the reason be ?







      sql-server-2014 join execution-plan statistics union






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Aug 13 '18 at 4:10









      virvir

      112




      112





      bumped to the homepage by Community 1 min ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.







      bumped to the homepage by Community 1 min ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
























          1 Answer
          1






          active

          oldest

          votes


















          0














          The reason is that AND and OR has the same precedence and the long condition x AND y OR z AND w OR v AND... without round brackets has a bit different meaning than you think.



          Your query can be rewritten that way:



          FROM tableA AS A 
          JOIN tableB AS B ON ( B.col3 = 'X' AND B.col4 = A.col3 )
          OR ( B.col3 = 'Y' AND B.col4 = A.col4 )
          OR (. . . . .)





          share|improve this answer
























          • I've tried this too and got the same run time and statistics(and plan) as the first query(the one with the spool with 29 million rows). And I think AND has precedence over OR.

            – vir
            Aug 13 '18 at 4:45











          • AND and OR actually have different precedence. In absence of brackets, AND has higher priority. Your ON predicate, therefore, would work the same way with or without those brackets. That said, however, specifying the brackets makes the intent clearer, as not everyone can constantly remember the precedence rules.

            – Andriy M
            Aug 13 '18 at 12:38











          Your Answer








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          1 Answer
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          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          The reason is that AND and OR has the same precedence and the long condition x AND y OR z AND w OR v AND... without round brackets has a bit different meaning than you think.



          Your query can be rewritten that way:



          FROM tableA AS A 
          JOIN tableB AS B ON ( B.col3 = 'X' AND B.col4 = A.col3 )
          OR ( B.col3 = 'Y' AND B.col4 = A.col4 )
          OR (. . . . .)





          share|improve this answer
























          • I've tried this too and got the same run time and statistics(and plan) as the first query(the one with the spool with 29 million rows). And I think AND has precedence over OR.

            – vir
            Aug 13 '18 at 4:45











          • AND and OR actually have different precedence. In absence of brackets, AND has higher priority. Your ON predicate, therefore, would work the same way with or without those brackets. That said, however, specifying the brackets makes the intent clearer, as not everyone can constantly remember the precedence rules.

            – Andriy M
            Aug 13 '18 at 12:38
















          0














          The reason is that AND and OR has the same precedence and the long condition x AND y OR z AND w OR v AND... without round brackets has a bit different meaning than you think.



          Your query can be rewritten that way:



          FROM tableA AS A 
          JOIN tableB AS B ON ( B.col3 = 'X' AND B.col4 = A.col3 )
          OR ( B.col3 = 'Y' AND B.col4 = A.col4 )
          OR (. . . . .)





          share|improve this answer
























          • I've tried this too and got the same run time and statistics(and plan) as the first query(the one with the spool with 29 million rows). And I think AND has precedence over OR.

            – vir
            Aug 13 '18 at 4:45











          • AND and OR actually have different precedence. In absence of brackets, AND has higher priority. Your ON predicate, therefore, would work the same way with or without those brackets. That said, however, specifying the brackets makes the intent clearer, as not everyone can constantly remember the precedence rules.

            – Andriy M
            Aug 13 '18 at 12:38














          0












          0








          0







          The reason is that AND and OR has the same precedence and the long condition x AND y OR z AND w OR v AND... without round brackets has a bit different meaning than you think.



          Your query can be rewritten that way:



          FROM tableA AS A 
          JOIN tableB AS B ON ( B.col3 = 'X' AND B.col4 = A.col3 )
          OR ( B.col3 = 'Y' AND B.col4 = A.col4 )
          OR (. . . . .)





          share|improve this answer













          The reason is that AND and OR has the same precedence and the long condition x AND y OR z AND w OR v AND... without round brackets has a bit different meaning than you think.



          Your query can be rewritten that way:



          FROM tableA AS A 
          JOIN tableB AS B ON ( B.col3 = 'X' AND B.col4 = A.col3 )
          OR ( B.col3 = 'Y' AND B.col4 = A.col4 )
          OR (. . . . .)






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Aug 13 '18 at 4:38









          KondybasKondybas

          2,646912




          2,646912













          • I've tried this too and got the same run time and statistics(and plan) as the first query(the one with the spool with 29 million rows). And I think AND has precedence over OR.

            – vir
            Aug 13 '18 at 4:45











          • AND and OR actually have different precedence. In absence of brackets, AND has higher priority. Your ON predicate, therefore, would work the same way with or without those brackets. That said, however, specifying the brackets makes the intent clearer, as not everyone can constantly remember the precedence rules.

            – Andriy M
            Aug 13 '18 at 12:38



















          • I've tried this too and got the same run time and statistics(and plan) as the first query(the one with the spool with 29 million rows). And I think AND has precedence over OR.

            – vir
            Aug 13 '18 at 4:45











          • AND and OR actually have different precedence. In absence of brackets, AND has higher priority. Your ON predicate, therefore, would work the same way with or without those brackets. That said, however, specifying the brackets makes the intent clearer, as not everyone can constantly remember the precedence rules.

            – Andriy M
            Aug 13 '18 at 12:38

















          I've tried this too and got the same run time and statistics(and plan) as the first query(the one with the spool with 29 million rows). And I think AND has precedence over OR.

          – vir
          Aug 13 '18 at 4:45





          I've tried this too and got the same run time and statistics(and plan) as the first query(the one with the spool with 29 million rows). And I think AND has precedence over OR.

          – vir
          Aug 13 '18 at 4:45













          AND and OR actually have different precedence. In absence of brackets, AND has higher priority. Your ON predicate, therefore, would work the same way with or without those brackets. That said, however, specifying the brackets makes the intent clearer, as not everyone can constantly remember the precedence rules.

          – Andriy M
          Aug 13 '18 at 12:38





          AND and OR actually have different precedence. In absence of brackets, AND has higher priority. Your ON predicate, therefore, would work the same way with or without those brackets. That said, however, specifying the brackets makes the intent clearer, as not everyone can constantly remember the precedence rules.

          – Andriy M
          Aug 13 '18 at 12:38


















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