VDisk consuming too much disk space

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• Query to consume too much time.

  Hello
  I use the Release of oracle 10.2.0.4.0 version. I have a query, its takes too long (about 7 minutes) for indexed read. Please help me understand the reason and workaround for same.
  

    select *
   FROM a,
           b
     WHERE  a.xdt_docownerpaypk = b.paypk
           AND a.xdt_doctype = 'PURCHASEORDER'
           AND b.companypk = 1202829117
           AND a.xdt_createdt BETWEEN TO_DATE (
                                                               '07/01/2009',
                                                               'MM/DD/YYYY')
                                                        AND TO_DATE (
                                                               '01/01/2010',
                                                               'MM/DD/YYYY')
  ORDER BY a.xdt_createdt DESC;
  
  
  --------------------------------------------------------------------------------------------------------------------------------------------------------
  | Id  | Operation                      | Name                    | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  |  OMem |  1Mem | Used-Mem |
  --------------------------------------------------------------------------------------------------------------------------------------------------------
  |   1 |  SORT ORDER BY                 |                         |      1 |      1 |    907 |00:06:45.83 |   66716 |  60047 |   478K|   448K|  424K (0)|
  |*  2 |   TABLE ACCESS BY INDEX ROWID  | a                       |      1 |      1 |    907 |00:06:45.82 |   66716 |  60047 |       |       |          |
  |   3 |    NESTED LOOPS                |                         |      1 |      1 |   6977 |00:06:45.64 |   60045 |  60030 |       |       |          |
  |   4 |     TABLE ACCESS BY INDEX ROWID| b                       |      1 |      1 |      1 |00:00:00.01 |       4 |      0 |       |       |          |
  |*  5 |      INDEX RANGE SCAN          | IDX_PAYIDENTITYCOMPANY  |      1 |      1 |      1 |00:00:00.01 |       3 |      0 |       |       |          |
  |*  6 |     INDEX RANGE SCAN           | IDX_XDT_N7              |      1 |   3438 |   6975 |00:06:45.64 |   60041 |  60030 |       |       |          |
  --------------------------------------------------------------------------------------------------------------------------------------------------------
  
  Predicate Information (identified by operation id):
  ---------------------------------------------------
  
     2 - filter(("a"."XDT_CREATEDT"<=TO_DATE(' 2010-01-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
                "a"."XDT_CREATEDT">=TO_DATE(' 2009-07-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')))
     5 - access("b"."COMPANYPK"=1202829117)
     6 - access("XDT_DOCTYPE"='PURCHASEORDER' AND "a"."XDT_DOCOWNERPAYPK"="b"."PAYPK")
         filter("a"."XDT_DOCOWNERPAYPK"="b"."PAYPK")
  
  
  32 rows selected.
  
  
  index 'idx_xdt_n7' is on (xdt_doctype,action_date,xdt_docownerpaypk).
  index idx_xdt_n7 details are as below.
  blevel   distinct_keys   avg_leaf_blocks_per_key   avg_data_blocks_per_key   clustering_factor       num_rows 
  3         868840             1                         47                     24020933               69871000
  
  
  But when i am deriving exact value of paypk from table b and applying to the query, its using another index(idx_xdt_n4) which is on index 'idx_xdt_n4' is on (month,year,xdt_docownerpaypk,xdt_doctype,action_date)
  and completes within ~17 seconds. below is the query/plan details.
  
  
    select *
    FROM a
      WHERE a.xdt_docownerpaypk = 1202829132
            AND xdt_doctype = 'PURCHASEORDER'
           AND a.xdt_createdt BETWEEN TO_DATE (
                                                                '07/01/2009',
                                                                'MM/DD/YYYY')
                                                         AND TO_DATE (
                                                                '01/01/2010',
                                                                'MM/DD/YYYY')
   ORDER BY xdt_createdt DESC;
  
   ------------------------------------------------------------------------------------------------------------------------------------------------------
  | Id  | Operation                    | Name                    | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  |  OMem |  1Mem | Used-Mem |
  ------------------------------------------------------------------------------------------------------------------------------------------------------
  |   1 |  SORT ORDER BY               |                         |      1 |   3224 |    907 |00:00:02.19 |    7001 |    339 |   337K|   337K|  299K (0)|
  |*  2 |   TABLE ACCESS BY INDEX ROWID| a                       |      1 |   3224 |    907 |00:00:02.19 |    7001 |    339 |       |       |          |
  |*  3 |    INDEX SKIP SCAN           | IDX_XDT_N4              |      1 |  38329 |   6975 |00:00:02.08 |     330 |    321 |       |       |          |
  ------------------------------------------------------------------------------------------------------------------------------------------------------
  
  Predicate Information (identified by operation id):
  ---------------------------------------------------
  
     2 - filter(("a"."XDT_CREATEDT"<=TO_DATE(' 2010-01-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
                "a"."XDT_CREATEDT">=TO_DATE(' 2009-07-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')))
     3 - access("a"."XDT_DOCOWNERPAYPK"=1202829132 AND "XDT_DOCTYPE"='PURCHASEORDER')
         filter(("a"."XDT_DOCOWNERPAYPK"=1202829132 AND "XDT_DOCTYPE"='PURCHASEORDER'))
  
  
   
  index idx_xdt_n4 details are as below.
  
  blevel   distinct_keys   avg_leaf_blocks_per_key   avg_data_blocks_per_key   clustering_factor       num_rows 
  3         868840             1                         47                     23942833              70224133

  Published by: 930254 on April 26, 2013 05:04

  the first query uses the predicate "XDT_DOCTYPE" = "PURCHASEORDER" to determine the order of the index IDX_XDT_N7, which needs to be scanned, and uses the other predicates to filter most of the index blocks. The second query uses an INDEX SKIP SCAN without consider the first column of the index IDX_XDT_N4 and use the predicates for the following columns ('a'. ("XDT_DOCOWNERPAYPK"= 1202829132 AND "XDT_DOCTYPE" = "PURCHASEORDER") to get a much more selective access (reading only 330 blocks instead of > 60 K).

  I think that there are two possible options to improve performance:

  1. If the creation of a new index is an option, you can define an index on the table A (xdt_doctype, xdt_docownerpaypk, xdt_createdt)
  2. If the creation of a new index is not an option, you can use an indicator of INDEX SKIP SCAN (INDEX_SS (an IDX_XDT_N4)) to order the CBO to use the second index (without a hint the CBO tends to ignore the possibility of using a SKIP SCAN in a join of NL). But with production advice is rarely a good idea... 11g you could you baselines sql to avoid these indications in the code.

  Concerning

  Martin

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