Runtime increased after stats collection

Question

Hi,
Below is my SQL query
SELECT   wos.*,
               t.wo_status,
               t.wo_type
          FROM cscrpt_transactions t,
               (SELECT DISTINCT sb.sub_acct_no_sbb,
                                sb.vip_flg_sbb,
                                sb.res_name_sbb,
                                sb.home_phone_sbb,
                                sb.delq_1cyc_sbb,
                                sb.delq_2cyc_sbb,
                                sb.delq_3cyc_sbb,
                                sb.delq_4cyc_sbb,
                                sb.delq_5cyc_sbb,
                                sb.delq_stat_sbb,
                                sb.delq_amt_sbb,
                                sb.ls_pay_dte_sbb,
                                sb.ls_pay_amt_sbb,
                                sb.misc_sbb,
                                hb.misc_hse,
                                TRUNC(SYSDATE) - sb.start_delq_dte_sbb days_delq,
                                sb.prom_pays_days_sbb,
                                sb.start_delq_dte_sbb,
                                sb.prom_pays_dte_sbb,
                                ca.category_name,
                                ct.wo_key,
                                cc.customer_id
                           FROM sbb_base sb,
                                hse_base hb,
                                cscrpt_customers cc,
                                cscrpt_transactions ct,
                                cscrpt_categories ca
                          WHERE sb.ext_stat_sbb = ' '
                            AND sb.prin_sbb <> 3000
                            AND sb.prin_sbb <> 3100
                            AND sb.delq_stat_sbb NOT IN ('C', 'E', 'Z', 'W')
                            AND sb.delq_amt_sbb > 10.00
                            AND (   sb.delq_2cyc_sbb > 0.00
                                 OR sb.delq_3cyc_sbb > 0.00
                                 OR sb.delq_4cyc_sbb > 0.00
                                 OR sb.delq_5cyc_sbb > 0.00)
                            AND sb.sub_acct_no_sbb = hb.sub_acct_no_hse
                            AND sb.sub_acct_no_sbb = cc.csg_account_no
                            AND cc.customer_id = ct.customer_id
                            AND ct.category_id = ca.category_id) wos
         WHERE wos.wo_key = t.wo_key
           AND t.wo_key = (SELECT MAX(tr.wo_key)
                             FROM cscrpt_transactions tr
                            WHERE tr.customer_id = wos.customer_id)
      ORDER BY wos.start_delq_dte_sbb DESC,
               wos.delq_2cyc_sbb;Stats for the base tables of the views used
(v)sbb_base – 24,791,659 rows, stats 12/28/07
(v)hse_base – 25,270,280 rows, stats 12/28/07
(v)cscrpt_customers  – 20,418,167 rows, stats 10/10/04
(v)cscrpt_transactions – same as for customers
(t)cscrpt_categories – 14,524 rows, stats 10/10/04(v)-View, (t)-table. Rowcount and last date when stats were collected.
Below is the execution plan:
4286 rows selected.
Elapsed: 01:02:39.07
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=236008 Card=1 Bytes=
          386)
   1    0   SORT (ORDER BY) (Cost=236001 Card=1 Bytes=386)
   2    1     FILTER
   3    2       FILTER
   4    3         NESTED LOOPS (OUTER)
   5    4           HASH JOIN (Cost=235998 Card=1 Bytes=365)
   6    5             VIEW (Cost=198149 Card=987557 Bytes=335769380)
   7    6               SORT (UNIQUE) (Cost=198149 Card=987557 Bytes=2
          24175439)
   8    7                 FILTER
   9    8                   HASH JOIN (Cost=181816 Card=987557 Bytes=2
          24175439)
  10    9                     TABLE ACCESS (FULL) OF 'CSCRPT_CATEGORIE
          S' (Cost=6 Card=6803 Bytes=292529)
  11    9                     FILTER
  12   11                       HASH JOIN (OUTER)
  13   12                         HASH JOIN (Cost=163701 Card=894900 B
          ytes=145868700)
  14   13                           HASH JOIN (Cost=129012 Card=360796
           Bytes=49429052)
  15   14                             HASH JOIN (Cost=68118 Card=32221
          6 Bytes=35121544)
  16   15                               TABLE ACCESS (FULL) OF 'CSCRPT
          CUSTOMERSTAB' (Cost=9302 Card=317965 Bytes=6677265)
  17   15                               TABLE ACCESS (FULL) OF 'SBB_BA
          SE_TAB' (Cost=55749 Card=2397901 Bytes=211015288)
  18   14                             TABLE ACCESS (FULL) OF 'HSE_BASE
          _TAB' (Cost=48688 Card=23936080 Bytes=670210240)
  19   13                           TABLE ACCESS (FULL) OF 'CSCRPT_TRA
          NSACTIONS_TAB' (Cost=17313 Card=35912894 Bytes=933735244)
  20   12                         VIEW OF 'CSCRPT_CUSTOMERS_ALL_VW' (C
          ost=9302 Card=15978119 Bytes=335540499)
  21   20                           TABLE ACCESS (FULL) OF 'CSCRPT_CUS
          TOMERS_TAB' (Cost=9302 Card=15978119 Bytes=335540499)
  22    8                   COUNT (STOPKEY)
  23   22                     TABLE ACCESS (BY INDEX ROWID) OF 'ACCOUN
          T_TYPE_SPA' (Cost=2 Card=1 Bytes=18)
  24   23                       INDEX (RANGE SCAN) OF 'ACCOUNT_TYPE_SP
          A_UK01_I' (UNIQUE) (Cost=2 Card=1)
  25    5             TABLE ACCESS (FULL) OF 'CSCRPT_TRANSACTIONS_TAB'
           (Cost=17313 Card=35912894 Bytes=897822350)
  26    4           VIEW PUSHED PREDICATE OF 'CSCRPT_CUSTOMERS_ALL_VW'
           (Cost=1 Card=1 Bytes=21)
  27   26             TABLE ACCESS (BY INDEX ROWID) OF 'CSCRPT_CUSTOME
          RS_TAB' (Cost=2 Card=1 Bytes=21)
  28   27               INDEX (UNIQUE SCAN) OF 'CSCRPT_CUSTOMERS_PK' (
          UNIQUE) (Cost=2 Card=1)
  29    2       SORT (AGGREGATE)
  30   29         FILTER
  31   30           NESTED LOOPS (OUTER)
  32   31             TABLE ACCESS (BY INDEX ROWID) OF 'CSCRPT_TRANSAC
          TIONS_TAB' (Cost=5 Card=5 Bytes=110)
  33   32               INDEX (RANGE SCAN) OF 'CSCRPT_TRANSACTIONS_N3'
           (NON-UNIQUE) (Cost=3 Card=5)
  34   31             VIEW PUSHED PREDICATE OF 'CSCRPT_CUSTOMERS_ALL_V
          W' (Cost=1 Card=1 Bytes=21)
  35   34               FILTER
  36   35                 TABLE ACCESS (BY INDEX ROWID) OF 'CSCRPT_CUS
          TOMERS_TAB' (Cost=2 Card=1 Bytes=21)
  37   36                   INDEX (UNIQUE SCAN) OF 'CSCRPT_CUSTOMERS_P
          K' (UNIQUE) (Cost=2 Card=1)
Statistics
       4519  recursive calls
          2  db block gets
   64793132  consistent gets
    2936560  physical reads
          0  redo size
     536683  bytes sent via SQL*Net to client
       2920  bytes received via SQL*Net from client
        287  SQL*Net roundtrips to/from client
         78  sorts (memory)
          0  sorts (disk)
       4286  rows processedI am in the process of getting stats for the ones which were collected in 2004.
I am thinking as the plan shows some FTS steps for those views (base tables for which stats were collected in 2004) and as there are indexes on those tables, the plan might change after stats collection.
I appreciate your inputs in this.
Thanks
Rajiv
Message was edited by:
RajivTx
Message was edited by:
RajivTx

Answer 1

I am trying the INDEX hint
INDEX(table [index]) Forces an index scan of the specified table using the specified index(s). If a list of indexes is specified, the optimizer chooses the one with the lowest cost. If no index is specified then the optimizer chooses the available index for the table with the lowest cost.
I am confused whether I need to use the above hint or
/*+ hint(view_name.table_in_view) */
as I have views in the FROM clause.
Thanks
Rajiv