Rewrite the query in 11 g

Hello

Can anyone suggest an idea to rewrite this query? This query takes longer than expected, probably
they way the application is made is not fair? Thanks in advance! I use 11g
 SELECT   brand_id,
                      region_id,
                      sku_base_id,
                      desc_key,
                      (SELECT   MAX (cps.product_code)
                         FROM   cat_prod_sku_vw cps
                        WHERE       cps.brand_id = srl.brand_id
                                AND cps.region_id = srl.region_id
                                AND cps.brand_id = 4
                                AND cps.region_id = 0
                                AND (   cps.parent_cat_id
                                     || 'PROD'
                                     || cps.prod_base_id) = srl.desc_text)
                         AS desc_text
               FROM   sku_rgn_lang_vw srl
              WHERE       brand_id = 4
                      AND region_id = 0
                      AND desc_key LIKE 'www_pcode_%'
                      AND LENGTH (desc_text) > 6
                      AND desc_text LIKE 'CAT%' ;

You should look at this thread {message identifier: = 9360003} to get an idea of what other information is required.

However, I'd be inclined to re - write as an (external) join instead of a scalar select statement. Something more like:

SELECT srl.brand_id, srl.region_id, srl.sku_base_id, srl.desc_key,
       cps.desc_text
FROM sku_rgn_lang_vw srl
   left join (SELECT brand_id, region_id,
                     parent_cat_id||'PROD'||prod_base_id desc_text
                     MAX (product_code) product_code
              FROM cat_prod_sku_vw cps
              WHERE brand_id = 4
                AND region_id = 0
              GROUP BY brand_id, region_id,
                       parent_cat_id||'PROD'||prod_base_id) cps
      on cps.brand_id = srl.brand_id AND
         cps.region_id = srl.region_id AND
         cps.parent_cat_id||'PROD'||cps.prod_base_id = srl.desc_text
WHERE srl.brand_id = 4
  AND srl.region_id = 0
  AND srl.desc_key LIKE 'www_pcode_%'
  AND LENGTH (cps.desc_text) > 6
  AND cps.desc_text LIKE 'CAT%' ;

Although I'm not entirely sure, I had all the correct alias.

John

Tags: Database

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    BANNER

    ----------------------------------------------------------------

    Oracle Database 10g Release 10.2.0.4.0 - Production 64-bit

    PL/SQL Release 10.2.0.4.0 - Production

    CORE 10.2.0.4.0 Production

    AMT for Linux: release 10.2.0.4.0 - Production

    NLSRTL Version 10.2.0.4.0 - Production

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    AND (((zrn.region_135 = 1) AND (there IS NOT (SELECT null from warehouse w WHERE w.zoneid = zrn.zoneid AND w.zone_createdate = zrn.zone_createdate AND w.dt_posting IS NULL))) OR (zrn.region_140 = 1))

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    Any help or suggestion would be appreciated

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    At the time where the application may not throw anything until after he has retrieved and grouped all the ranks of zone_view. His estimate of 7.5 minutes to scan millions 639 lines really fast enough - it's 85 million lines per minute.

    This seems to be where the time went. The only way that the query can be accelerated is to recover some of the conditions that must be applied before the grouping. The only obvious possibilities for this are

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    MAX (CASE WHEN zone_num = 135 AND tranx_date no IS NOT NULL, THEN 1 TIMES zone_num = 135 AND tranx_date IS NULL THEN 0 ELSE-1 END) region_135,.

    MAX (CASE WHEN zone_num = 140 AND tranx_date 'n' IS NOT NULL, THEN 1 TIME zone_num = 140 AND tranx_date IS NULL THEN 0 ELSE-1 END) region_140

    OF zone_view

    where (IDZone, zone_createdate) NOT IN (select the zone ID, w warehouse zone_createdate WHERE w.dt_warehouse IS NULL)

    and zone_num (18, 110, 135, 140)

    GROUP BY IDZone, zone_createdate

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    WHERE zrn.region_18 <> 0

    AND ((zrn.region_110 = 1) OR (zrn.region_110 = - 1))

    AND (((zrn.region_135 = 1) AND (there IS NOT (SELECT null from warehouse w WHERE w.zoneid = zrn.zoneid AND w.zone_createdate = zrn.zone_createdate AND w.dt_posting IS NULL))) OR (zrn.region_140 = 1))

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    )

    Unfortunately, if the plan of the query time estimates are correct, most of the duration of the query is spent doing a reading zone_view in a full analysis, and which will not be changed by this query.

    If there are many rows for each (IDZone, zone_createdate) zone_view pair, then it is possible that an index on (area ID, zone_num, zone_createdate) would contribute to this request, especially if most (IDZone, zone_createdate) pairs are filtered with the NOT IN (select the zone ID, zone_createdate w warehouse WHERE w.dt_warehouse IS NULL). More radical but probably effective measure would be a functional on index

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    and using the expression in the query box:

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    Of

    (

    SELECT ID area, zone_createdate,

    NVL (MAX (CASE WHEN zone_num = 18 then case when tranx_date is null, then 0 or 1 end end),-1) region_18,.

    NVL (MAX (CASE WHEN zone_num = 110 then case when tranx_date is null, then 0 or 1 end end),-1) region_110,.

    NVL (MAX (CASE WHEN zone_num = 135 then case when tranx_date is null, then 0 or 1 end end),-1) region_135,.

    NVL (MAX (CASE WHEN zone_num = 140 then case when tranx_date is null, then 0 or 1 end end),-1) region_140

    OF zone_view

    where (IDZone, zone_createdate) NOT IN (select the zone ID, w warehouse zone_createdate WHERE w.dt_warehouse IS NULL)

    and zone_num (18, 110, 135, 140)

    GROUP BY IDZone, zone_createdate

    ) zrn

    WHERE zrn.region_18 <> 0

    AND ((zrn.region_110 = 1) OR (zrn.region_110 = - 1))

    AND (((zrn.region_135 = 1) AND (there IS NOT (SELECT null from warehouse w WHERE w.zoneid = zrn.zoneid AND w.zone_createdate = zrn.zone_createdate AND w.dt_posting IS NULL))) OR (zrn.region_140 = 1))

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    This gives a very different plan on my database, by performing an iteration on relevant areas of performance status:

    ---------------------------------------------------------

    | ID | Operation | Name |

    ---------------------------------------------------------

    |   0 | SELECT STATEMENT |              |

    |*  1 |  FILTER                          |              |

    |   2.   VIEW                           |              |

    |*  3 |    FILTER                        |              |

    |   4.     HASH GROUP BY.              |

    |   5.      ANTI NESTED LOOPS.              |

    |   6.       INLIST ITERATOR.              |

    |*  7 |        INDEX RANGE SCAN | ZV_F1 |

    |*  8 |       TABLE ACCESS BY INDEX ROWID | WAREHOUSE |

    |*  9 |        INDEX UNIQUE SCAN | WAREHOUSE_PK |

    | * 10 |   TABLE ACCESS BY INDEX ROWID | WAREHOUSE |

    | * 11 |    INDEX UNIQUE SCAN | WAREHOUSE_PK |

    ---------------------------------------------------------

    Your plan will be different because you have data volumes (I didn't create millions of lines of test data)

    It would be useful to know how many rows there are in the WAREHOUSE, how many distinct (IDZone, zone_createdate) pairs there are in zone_view and the number of rows actually returns the query, and how much is NOT IN (select the zone ID, w zone_createdate warehouse WHERE w.dt_warehouse IS NULL) because these relative numbers determine how these approaches are.

    If there is a table containing all of the (area ID, zone_createdate) pairs which could take place in zone_view, which would have may another possible approach:

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    Good luck.

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    ?
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    Published by: watch on 2 may 2012 17:20

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