CBO Basics: Cardinality

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  • Picture from Jonathan Lewis’s Book <<Cost based Oracle Fundamentals>>
  • CBO Basics: Cardinality

    1. 1. CBO Basics: Cardinality<br />Sidney Chen@zha-dba<br />
    2. 2. Agenda<br />Cardinality<br />The Cardinality under Various Prediction<br />Case study: incorrect high value<br />
    3. 3. Cardinality<br />The estimated number of rows <br />a query is expected to return.<br />Number of rows in table<br />x<br />Predicate selectivity<br />
    4. 4. Imaging there are 1200 people attend the dba weekly meeting, <br />They are randomly born in 12 month and comes from 10 citites, given the data the even distributed.<br />create table audience as<br />select<br /> mod(rownum-1,12) + 1 month_no,<br /> mod(rownum-1,10) + 1 city_no<br />from<br />all_objects<br />where<br />rownum <= 1200;<br />
    5. 5. sid@CS10G> select month_no, count(*) from audience group by month_no order by month_no;<br /> MONTH_NO COUNT(*)<br />---------- ----------<br /> 1 100<br /> 2 100<br /> 3 100<br /> 4 100<br /> 5 100<br /> 6 100<br /> 7 100<br /> 8 100<br /> 9 100<br /> 10 100<br /> 11 100<br /> 12 100<br />12 rows selected.<br />
    6. 6. sid@CS10G> select city_no, count(*) from audience group by city_no order by city_no;<br /> CITY_NO COUNT(*)<br />---------- ----------<br /> 1 120<br /> 2 120<br /> 3 120<br /> 4 120<br /> 5 120<br /> 6 120<br /> 7 120<br /> 8 120<br /> 9 120<br /> 10 120<br />10 rows selected.<br />
    7. 7. sid@CS10G> @indsid.audience;<br />OWNER TABLE_NAME BLOCKS NUM_ROWS AVG_ROW_LEN<br />----- ---------- ---------- ---------- -----------<br />SID AUDIENCE 5 1200 6<br />sid@CS10G> @descsid.audience;<br />Column Name NUM_DISTINCT DENSITY NUM_BUCKETS Low High<br />------------ ------------ ---------- ----------- ---- ----<br />MONTH_NO 12 .083333333 1 1 12<br />CITY_NO 10 .1 1 1 10<br />
    8. 8. Critical info<br />NDK: number of distinct keys<br /> Density = 1/NDK, (0.1 = 1/10) (0.083333333 = 1/12)<br />NUM_BUCKETS=1, there is no histogram gather<br />NUM_BUCKETS > 1, histogram gathered<br />
    9. 9. select month_no from audience where month_no=12;<br />Cardinality<br />1200 * (1/12) = 100<br />
    10. 10. sid@CS10G> select month_no from audience where month_no=12;<br />100 rows selected.<br />Execution Plan<br />----------------------------------------------------------<br />Plan hash value: 2423062965<br />-------------------------------------------------------------------<br />| Id | Operation | Name | Rows | Bytes | Cost (%CPU)|<br />-------------------------------------------------------------------<br />| 0 | SELECT STATEMENT | | 100 | 300 | 3 (0)|<br />|* 1 | TABLE ACCESS FULL| AUDIENCE | 100 | 300 | 3 (0)|<br />-------------------------------------------------------------------<br />Predicate Information (identified by operation id):<br />---------------------------------------------------<br /> 1 - filter("MONTH_NO"=12)<br />
    11. 11. select month_no from audience where city_no=1;<br />Cardinality<br />1200 * (1/10) = 120<br />
    12. 12. sid@CS10G> select month_no from audience where city_no=1;<br />120 rows selected.<br />Execution Plan<br />----------------------------------------------------------<br />Plan hash value: 2423062965<br />-------------------------------------------------------------------<br />| Id | Operation | Name | Rows | Bytes | Cost (%CPU)|<br />-------------------------------------------------------------------<br />| 0 | SELECT STATEMENT | | 120 | 720 | 3 (0)|<br />|* 1 | TABLE ACCESS FULL| AUDIENCE | 120 | 720 | 3 (0)|<br />-------------------------------------------------------------------<br />Predicate Information (identified by operation id):<br />---------------------------------------------------<br /> 1 - filter("CITY_NO"=1)<br />
    13. 13. select month_no from audience where month_no > 9;<br />Cardinality<br />1200 * ( (12-9)/(12-1) ) = 327<br />
    14. 14. sid@CS10G> select month_no from audience where month_no > 9;<br />300 rows selected.<br />Execution Plan<br />----------------------------------------------------------<br />Plan hash value: 2423062965<br />-------------------------------------------------------------------<br />| Id | Operation | Name | Rows | Bytes | Cost (%CPU)|<br />-------------------------------------------------------------------<br />| 0 | SELECT STATEMENT | | 327 | 981 | 3 (0)|<br />|* 1 | TABLE ACCESS FULL| AUDIENCE | 327 | 981 | 3 (0)|<br />-------------------------------------------------------------------<br />Predicate Information (identified by operation id):<br />---------------------------------------------------<br /> 1 - filter("MONTH_NO">9)<br />
    15. 15. Equality: If Out of range<br />explain plan set statement_id = '12' for select month_no from audience where month_no = 12;<br />explain plan set statement_id = '13' for select month_no from audience where month_no = 13;<br />explain plan set statement_id = '14' for select month_no from audience where month_no = 14;<br />explain plan set statement_id = '15' for select month_no from audience where month_no = 15;<br />explain plan set statement_id = '16' for select month_no from audience where month_no = 16;<br />explain plan set statement_id = '17' for select month_no from audience where month_no = 17;<br />explain plan set statement_id = '18' for select month_no from audience where month_no = 18;<br />explain plan set statement_id = '19' for select month_no from audience where month_no = 19;<br />explain plan set statement_id = '20' for select month_no from audience where month_no = 20;<br />
    16. 16. sid@CS10G> select statement_id, cardinality from plan_table where id=1 order by statement_id;<br />STATEMENT_ID CARDINALITY<br />------------ -----------<br />12 100<br />13 91<br />14 82<br />15 73<br />1664<br />17 55<br />18 45<br />19 36<br />20 27<br />9 rows selected.<br />
    17. 17. Range: If Out of range<br />explain plan set statement_id = '12' for select month_no from audience where month_no > 12;<br />explain plan set statement_id = '13' for select month_no from audience where month_no > 13;<br />explain plan set statement_id = '14' for select month_no from audience where month_no > 14;<br />explain plan set statement_id = '15' for select month_no from audience where month_no > 15;<br />explain plan set statement_id = '16' for select month_no from audience where month_no > 16;<br />explain plan set statement_id = '17' for select month_no from audience where month_no > 17;<br />explain plan set statement_id = '18' for select month_no from audience where month_no > 18;<br />explain plan set statement_id = '19' for select month_no from audience where month_no > 19;<br />explain plan set statement_id = '20' for select month_no from audience where month_no > 20;<br />
    18. 18. sid@CS10G> select statement_id, cardinality from plan_table where id=1 order by statement_id;<br />STATEMENT_ID CARDINALITY<br />------------ -----------<br />12 100<br />13 91<br />14 82<br />15 73<br />1664<br />17 55<br />18 45<br />19 36<br />20 27<br />9 rows selected.<br />
    19. 19. The far from low/high range, the less you are to find data<br />
    20. 20. Bad news<br />If you have sequence, or time-based column in predicate(such as last modified date:last_mod_dt), and haven’t been keeping the statistics up to date<br />The Cardinality will drop as time passes, if you using equality and range on that column<br />
    21. 21. sid@CS10G> select month_no from audience where month_no > 16;<br />no rows selected<br />Execution Plan<br />----------------------------------------------------------<br />Plan hash value: 2423062965<br />-------------------------------------+-----------------------------------+<br />| Id | Operation | Name | Rows | Bytes | Cost | Time |<br />-------------------------------------+-----------------------------------+<br />| 0 | SELECT STATEMENT | | | | 3 | |<br />| 1 | TABLE ACCESS FULL | AUDIENCE| 64 | 192 | 3 | 00:00:01 |<br />-------------------------------------+-----------------------------------+<br />Predicate Information:<br />----------------------<br />1 - filter("MONTH_NO"=16)<br />
    22. 22. Using 10053 event to confirm<br />sid@CS10G> @53on<br />alter session set events '10053 trace name context forever, level 1';<br />Session altered.<br />sid@CS10G> explain plan for select month_no from audience where month_no > 16;<br />Explained.<br />sid@CS10G> @53off<br />sid@CS10G> @tracefile<br />TRACEFILE<br />----------------------------------------------------------------------------------------------------<br />/home/u02/app/oracle/product/11.1.0/db_1/admin/cs10g/udump/cs10g_ora_24947.trc<br />
    23. 23. SINGLE TABLE ACCESS PATH<br /> -----------------------------------------<br /> BEGIN Single Table Cardinality Estimation<br /> -----------------------------------------<br /> Column (#1): MONTH_NO(NUMBER)<br />AvgLen: 3.00 NDV: 12 Nulls: 0 Density: 0.083333 Min: 1 Max: 12<br />Using prorated density: 0.05303 of col #1 as selectivity of out-of-range value pred<br /> Table: AUDIENCE Alias: AUDIENCE<br /> Card: Original: 1200 Rounded: 64 Computed: 63.64 Non Adjusted: 63.64<br /> -----------------------------------------<br /> END Single Table Cardinality Estimation<br /> -----------------------------------------<br />
    24. 24. Between: If Out of range<br />explain plan set statement_id = '12' for select month_no from audience where month_nobetween 13 and 15;<br />explain plan set statement_id = '14' for select month_no from audience where month_nobetween 14 and 16; <br />explain plan set statement_id = '15' for select month_no from audience where month_nobetween 15 and 17; <br />explain plan set statement_id = '16' for select month_no from audience where month_no between 13 and 20; <br />explain plan set statement_id = '17' for select month_no from audience where month_no between 14 and 21; <br />explain plan set statement_id = '18' for select month_no from audience where month_no between 15 and 22; <br />explain plan set statement_id = '19' for select month_no from audience where month_no between 16 and 23;<br />
    25. 25. sid@CS10G> select statement_id, cardinality from plan_table where id=1 order by statement_id;<br />STATEMENT_ID CARDINALITY<br />------------ -----------<br />12 100<br />13 100<br />14 100<br />15 100<br />16 100<br />17 100<br />18 100<br />19 100<br />20 100<br />9 rows selected.<br />
    26. 26. Case: incorrect low/high value<br />
    27. 27. SELECT count('1') RECCOUNT<br /> FROM Test_ILM_INTERACTIONt0<br /> JOIN Test_ILM_INTERACTION_TYPEt1 ON t0.INTERACTION_TYP =<br /> t1.INTERACTION_TYP<br /> JOIN Test_ILM_INTERACTION_REFt3 ON t0.interaction_uuid =<br /> t3.interaction_uuid<br /> WHERE t1.IS_VIEWABLE = 1<br /> AND ((t0.DOMAIN_NME = 'DOMAIN_A') or<br /> (T0.DOMAIN_NME = 'DOMAIN_B' AND<br /> T0.APPLICATION_NME = 'APPLICATION_C'))<br /> AND (t3.REF_CDE = 'BK_NUMBER' AND t3.REF_KEY_VALUE = '2389301444')<br /> AND t0.INTERACTION_DT BETWEEN<br /> TO_DATE('01-06-2011 16:00:00', 'DD-MM-YYYY HH24:MI:SS') <br /> AND<br /> TO_DATE('16-06-2011 15:59:59', 'DD-MM-YYYY HH24:MI:SS')<br />
    28. 28. ---------------------------------------------------------------------+----------------<br />| Id | Operation | Name | Rows | Cost |<br />---------------------------------------------------------------------+----------------<br />| 0 | SELECT STATEMENT | | | 13 |<br />| 1 | SORT AGGREGATE | | 1 | |<br />| 2 | NESTED LOOPS | | 1 | 13 |<br />| 3 | NESTED LOOPS | | 1 | 12 |<br />| 4 | INDEX RANGE SCAN | Test_ILM_INTERACTION_IDX3 | 4 | 4 |<br />| 5 | INDEX UNIQUE SCAN | Test_ILM_INTERACTION_REF_PK| 1 | 2 |<br />| 6 | TABLE ACCESS BY INDEX ROWID | Test_ILM_INTERACTION_TYPE| 1 | 1 |<br />| 7 | INDEX UNIQUE SCAN | Test_ILM_INTERACTION_TYPE_PK| 1 | 0 |<br />---------------------------------------------------------------------+----------------<br />Predicate Information (identified by operation id):<br />---------------------------------------------------<br /> 4 - access("T0"."INTERACTION_DT">=TO_DATE('2011-06-01 05:00:00', 'yyyy-mm-dd hh24:mi:ss') AND<br /> "T0"."INTERACTION_DT"<=TO_DATE('2011-06-16 04:59:59', 'yyyy-mm-dd hh24:mi:ss'))<br /> filter("T0"."DOMAIN_NME"='DOMAIN_A' OR "T0"."APPLICATION_NME"='APPLICATION_C' AND<br /> "T0"."DOMAIN_NME"='DOMAIN_B')<br /> 5 - access("T0"."INTERACTION_UUID"="T3"."INTERACTION_UUID" AND "T3"."REF_CDE"='BL_NUMBER' AND<br /> "T3"."REF_KEY_VALUE"=2389301444')<br /> 6 - filter("T1"."IS_VIEWABLE"=1)<br /> 7 - access("T0"."INTERACTION_TYP"="T1"."INTERACTION_TYP")<br />
    29. 29. sys@CS2PRD> @descTestowner.Test_ilm_interaction<br />Column Name NUM_DISTINCT DENSITY Low High<br />------------------ ------------ ---------- -------------------- --------------------<br />INTERACTION_DT 7583898 1.3186E-07 2010-05-07 23:45:47 2011-05-31 15:31:35<br />sys@CS2PRD> @indTestowner.Test_ilm_interaction<br />TABLE_NAME INDEX_NAME POS# COLUMN_NAME <br />----------------------- --------------------------- ---- ----------------<br />Test_ILM_INTERACTION Test_ILM_INTERACTION_IDX3 1 INTERACTION_DT<br /> 2 COMPANY_ID<br /> 3 APPLICATION_NME<br /> 4 DOMAIN_NME<br /> 5 INTERACTION_TYP<br /> 6 INTERACTION_UUID<br />
    30. 30. select to_date(2455714,'J') max_date from dual;<br />MAX_DATE<br />-------------------<br />2011-06-01 00:00:00<br />10053 trace<br />Column (#4): INTERACTION_DT(DATE)<br />AvgLen: 8.00 NDV: 7583898 Nulls: 0 Density: 1.3186e-07 Min: 2455325 Max: 2455714<br />SINGLE TABLE ACCESS PATH<br /> Using prorated density: 1.3151e-07 of col#4 as selectivity of out-of-range value pred<br /> Table: Test_ILM_INTERACTIONAlias: T0<br /> Card: Original: 53138344 Rounded: 4 Computed: 3.75 Non Adjusted: 3.75<br /> Access Path: index (IndexOnly)<br /> Index: Test_ILM_INTERACTION_IDX3<br />resc_io: 4.00 resc_cpu: 29886<br />ix_sel: 1.3151e-07 ix_sel_with_filters: 7.0628e-08<br /> Cost: 4.00 Resp: 4.00 Degree: 1<br /> ****** trying bitmap/domain indexes ******<br /> Best:: AccessPath: IndexRange Index: Test_ILM_INTERACTION_IDX3<br /> Cost: 4.00 Degree: 1 Resp: 4.00 Card: 3.75 Bytes: 0<br />
    31. 31. Solution:dbms_stats.set_colum_stats<br />m_high := ADD_MONTHS(m_high, 1);<br />m_val_array := DBMS_STATS.DATEARRAY(m_low, m_high);<br />dbms_stats.prepare_column_values(<br />srec => m_statrec,<br />datevals => m_val_array<br /> );<br />dbms_stats.set_column_stats(<br />ownname => NULL,<br />tabname => '&&TABLE_NAME',<br />colname => '&&COLUMN_NAME', <br />distcnt => m_distcnt,<br /> density => m_density,<br />nullcnt => m_nullcnt,<br />srec => m_statrec,<br />avgclen => m_avgclen,<br />no_invalidate => false<br /> ); <br />Pls check the hack_stats_3.sql for the full script<br />
    32. 32. sys@CS2PRD> @descTestowner.Test_ilm_interaction<br />Column Name NUM_DISTINCT DENSITY Low High<br />------------------ ------------ ---------- -------------------- --------------------<br />INTERACTION_DT 7583898 1.3186E-07 2010-05-07 23:45:47 2011-06-31 15:31:35<br />
    33. 33. ---------------------------------------------------------------------------------------------<br />| Id | Operation | Name | Rows | Cost (%CPU)|<br />---------------------------------------------------------------------------------------------<br />| 0 | SELECT STATEMENT | | 1 | 14 (0)|<br />| 1 | SORT AGGREGATE | | 1 | |<br />| 2 | NESTED LOOPS | | 1 | 14 (0)|<br />| 3 | NESTED LOOPS | | 1 | 13 (0)|<br />| 4 | TABLE ACCESS BY INDEX ROWID| Test_ILM_INTERACTION_REF| 1 | 10 (0)|<br />|* 5 | INDEX RANGE SCAN | Test_ILM_INTERACTION_REF_IDX1 | 9 | 4 (0)|<br />|* 6 | TABLE ACCESS BY INDEX ROWID| Test_ILM_INTERACTION| 1 | 3 (0)|<br />|* 7 | INDEX UNIQUE SCAN | Test_ILM_INTERACTION_PK| 1 | 2 (0)|<br />|* 8 | TABLE ACCESS BY INDEX ROWID | Test_ILM_INTERACTION_TYPE| 1 | 1 (0)|<br />|* 9 | INDEX UNIQUE SCAN | Test_ILM_INTERACTION_TYPE_PK| 1 | 0 (0)|<br />---------------------------------------------------------------------------------------------<br />Predicate Information (identified by operation id):<br />---------------------------------------------------<br />5 - access("T3"."REF_CDE"='BK_NUMBER' AND "T3"."REF_KEY_VALUE"='2389301444')<br /> 6 - filter("T0"."INTERACTION_DT">=TO_DATE('2011-06-01 16:00:00', 'yyyy-mm-dd hh24:mi:ss') AND<br /> ("T0"."DOMAIN_NME"='DOMAIN_A' OR "T0"."APPLICATION_NME"='APPLICATION_C' AND<br /> "T0"."DOMAIN_NME"='DOMAIN_B') AND "T0"."INTERACTION_DT"<=TO_DATE('2011-06-16 15:59:59', 'yyyy-mm-dd<br /> hh24:mi:ss'))<br /> 7 - access("T0"."INTERACTION_UUID"="T3"."INTERACTION_UUID")<br /> 8 - filter("T1"."IS_VIEWABLE"=1)<br /> 9 - access("T0"."INTERACTION_TYP"="T1"."INTERACTION_TYP")<br />
    34. 34. select to_date(2455744,'J') max_date from dual;<br />MAX_DATE<br />-------------------<br />2011-07-01 00:00:00<br />10053 trace<br />***************************************<br /> SINGLE TABLE ACCESS PATH<br /> Column (#9): DOMAIN_NME(VARCHAR2)<br />AvgLen: 12.00 NDV: 10 Nulls: 53692 Density: 9.3545e-09<br /> Histogram: Freq #Bkts: 10 UncompBkts: 5973 EndPtVals: 10<br /> Column (#2): APPLICATION_NME(VARCHAR2)<br />AvgLen: 17.00 NDV: 30 Nulls: 0 Density: 9.3451e-09<br /> Histogram: Freq #Bkts: 30 UncompBkts: 5979 EndPtVals: 30<br /> Column (#4): INTERACTION_DT(DATE)<br />AvgLen: 8.00 NDV: 7583898 Nulls: 0 Density: 1.3186e-07 Min: 2455325 Max: 2455744<br /> Table: Test_ILM_INTERACTIONAlias: T0<br /> Card: Original: 53138344 Rounded: 1024006 Computed: 1024006.31 Non Adjusted: 1024006.31<br /> Access Path: index (IndexOnly)<br /> Index: Test_ILM_INTERACTION_IDX3<br />resc_io: 28694.00 resc_cpu: 574312799<br />ix_sel: 0.035829 ix_sel_with_filters: 0.019271<br /> Cost: 28722.69 Resp: 28722.69 Degree: 1<br /> ****** trying bitmap/domain indexes ******<br /> Best:: AccessPath: IndexRange Index: Test_ILM_INTERACTION_IDX3<br /> Cost: 28722.69 Degree: 1 Resp: 28722.69 Card: 1024006.31 Bytes: 0<br />***************************************<br />
    35. 35. Performance after tuning<br />
    36. 36. The functional scripts<br />
    37. 37. ThanksQ&A<br />
    38. 38. ---------------------------------------------------------------------+----------------<br />| Id | Operation | Name | Rows | Cost |<br />---------------------------------------------------------------------+----------------<br />| 0 | SELECT STATEMENT | | | 13 |<br />| 1 | SORT AGGREGATE | | 1 | |<br />| 2 | NESTED LOOPS | | 1 | 13 |<br />| 3 | NESTED LOOPS | | 1 | 12 |<br />| 4 | INDEX RANGE SCAN | Test_ILM_INTERACTION_IDX3 | 4 | 4 |<br />| 5 | INDEX UNIQUE SCAN | Test_ILM_INTERACTION_REF_PK| 1 | 2 |<br />| 6 | TABLE ACCESS BY INDEX ROWID | Test_ILM_INTERACTION_TYPE| 1 | 1 |<br />| 7 | INDEX UNIQUE SCAN | Test_ILM_INTERACTION_TYPE_PK| 1 | 0 |<br />---------------------------------------------------------------------+----------------<br />---------------------------------------------------------------------------------------------<br />| Id | Operation | Name | Rows | Cost (%CPU)|<br />---------------------------------------------------------------------------------------------<br />| 0 | SELECT STATEMENT | | 1 | 14 (0)|<br />| 1 | SORT AGGREGATE | | 1 | |<br />| 2 | NESTED LOOPS | | 1 | 14 (0)|<br />| 3 | NESTED LOOPS | | 1 | 13 (0)|<br />| 4 | TABLE ACCESS BY INDEX ROWID| Test_ILM_INTERACTION_REF| 1 | 10 (0)|<br />|* 5 | INDEX RANGE SCAN | Test_ILM_INTERACTION_REF_IDX1 | 9 | 4 (0)|<br />|* 6 | TABLE ACCESS BY INDEX ROWID| Test_ILM_INTERACTION| 1 | 3 (0)|<br />|* 7 | INDEX UNIQUE SCAN | Test_ILM_INTERACTION_PK| 1 | 2 (0)|<br />|* 8 | TABLE ACCESS BY INDEX ROWID | Test_ILM_INTERACTION_TYPE| 1 | 1 (0)|<br />|* 9 | INDEX UNIQUE SCAN | Test_ILM_INTERACTION_TYPE_PK| 1 | 0 (0)|<br />---------------------------------------------------------------------------------------------<br />
    39. 39. B-tree Access Cost<br />cost =<br />blevel +<br />ceiling(leaf_blocks * effective index selectivity) +<br />ceiling(clustering_factor * effective table selectivity)<br /> = <br />blevel +<br />ceiling(leaf_blocks * ix_sel)+<br />ceiling(clustering_factor *ix_sel_with_filter)<br />
    40. 40. Index Stats::<br /> Index: Test_ILM_INTERACTION_IDX3 Col#: 4 10 2 9 7 1<br /> LVLS: 3 #LB: 800771 #DK: 51629818 LB/K: 1.00 DB/K: 1.00 CLUF: 27495746.00<br /> Access Path: index (IndexOnly)<br /> Index: Test_ILM_INTERACTION_IDX3<br />resc_io: 4.00 resc_cpu: 29886<br />ix_sel: 1.3151e-07 ix_sel_with_filters: 7.0734e-08<br /> Cost: 4.00 Resp: 4.00 Degree: 1<br />sys@CS10G> select 3 + ceil(800771 * 0.00000013151) cost from dual;<br /> COST<br />----------<br /> 4<br />Index only, no need to access table<br />
    41. 41. Index Stats::<br /> Index: Test_ILM_INTERACTION_REF_IDX1 Col#: 2 3<br /> LVLS: 3 #LB: 872428 #DK: 10567436 LB/K: 1.00 DB/K: 5.00 CLUF: 60057635.00<br /> Access Path: index (AllEqRange)<br /> Index: Test_ILM_INTERACTION_REF_IDX1<br />resc_io: 10.00 resc_cpu: 74724<br />ix_sel: 9.4630e-08 ix_sel_with_filters: 9.4630e-08<br /> Cost: 10.00 Resp: 10.00 Degree: 1<br />sys@CS10G> select 3 + ceil(872428 * 0.00000009463) + ceil(60057535 * 0.00000009463) cost from dual;<br /> COST<br />----------<br />10<br />

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