Library /sys$common/syshlp/SQL$HELP72.HLB  —  SET_OPTIMIZATION_LEVEL
    Allows the current session defaults to be specified for query
    optimization characteristics.

    This statement can reset the session defaults using DEFAULT, or
    can specify one or more keywords for SELECTIVITY or FAST FIRST or
    TOTAL TIME optimization.

    This statement affects all subsequent query compiles in
    interactive SQL, or queries specified using dynamic SQL.

    See the Oracle Rdb SQL Reference Manual for information on
    setting the optimization level in SQL module and precompiler
    languages.

1  –  Environment

    You can use the SET OPTIMIZATION LEVEL statement:

    o  In interactive SQL

    o  Embedded in host language programs to be precompiled

    o  In dynamic SQL as a statement to be dynamically executed

2  –  Format

  (B)0SET OPTIMIZATION LEVEL qqq> runtime-options qqqq>         

  (B)0runtime-options                        
                                         
  qqwqqq> 'string-literal' qqqqqqwqqqqq> 
    tqqq> parameter qqqqqqqqqqqqqu       
    mqqq> parameter-marker qqqqqqj       

  (B)0optimization-level=     
  qwq> DEFAULT qqqqqqqqqqqqqqqqqqqqqqqwqq>
   mwqwq> AGGRESSIVE SELECTIVITY qqwqqu
    x tq> FAST FIRST             qqu  x  
    x tq> SAMPLED SELECTIVITY  qqqqu  x
    x mq> TOTAL TIME   qqqqqqqqqqqqj  x  
    mqqqqqqqqqqqqq, <qqqqqqqqqqqqqqqqqj
                   

3  –  Arguments

3.1  –  optimization-level

    Specifies the optimizer strategy to be used to reset session
    defaults. The passed string or parameter value must be a
    formatted list of keyword values. Select from the following
    options:

    o  AGGRESSIVE SELECTIVITY option if you expect a small number of
       rows to be selected.

    o  DEFAULT option to accept the Oracle Rdb defaults: FAST FIRST
       and DEFAULT SELECTIVITY.

    o  FAST FIRST option if you want your program to return data to
       the user as quickly as possible, even at the expense of total
       throughput.

    o  SAMPLED SELECTIVITY option to use literals in the query to
       perform preliminary estimation on indexes.

    o  TOTAL TIME option if you want your program to run at the
       fastest possible rate, returning all the data as quickly as
       possible. If your application runs in batch, accesses all the
       records in a query, and performs updates or writes reports,
       you should specify TOTAL TIME.

    Only one of the TOTAL TIME or FAST FIRST options can be selected.
    Only one of the AGGRESSIVE SELECTIVITY or SAMPLED SELECTIVITY
    options can be selected. Use a comma to separate the keywords and
    enclose the list in parentheses. No other options may be included
    if DEFAULT is selected.

3.2  –  parameter

    Specifies the value of the runtime-options, which must be a list
    of keywords, separated by commas.

3.3  –  parameter-marker

    Specifies the value of the runtime-options, which must be a list
    of keywords, separated by commas.

3.4  –  'string-literal'

    Specifies the value of the runtime-options, which must be a list
    of keywords, separated by commas.

    Only one of the options TOTAL TIME or FAST FIRST may be selected.
    Only one of the options AGGRESSIVE SELECTIVITY or SAMPLED
    SELECTIVITY may be selected. No other options may be included
    if DEFAULT is selected.

4  –  Example

    Example 1: Setting the optimization level

    The dynamic optimizer can use either FAST FIRST or TOTAL TIME
    tactics to return rows to the application. The default setting,
    FAST FIRST, assumes that applications, especially those using
    interactive SQL, will want to see rows as quickly as possible
    and possibly abort the query before completion. Therefore, if
    the FAST FIRST tactic is possible the optimizer will sacrifice
    overall retrieval time to initially return rows quickly. This
    choice can be affected by setting the OPTIMIZATION LEVEL.

    The following example contrasts the query strategies selected
    when FAST FIRST versus TOTAL TIME is in effect. Databases and
    queries will vary in their requirements. Queries should be tuned
    to see which setting best suits the needs of the application
    environment. For the MF_PERSONNEL database there is little or
    no difference between these tactics, but for larger tables the
    differences could be noticeable.

    SQL> set flags 'STRATEGY,DETAIL';
    SQL> --
    SQL> -- No optimization level has been selected. The optimizer
    SQL> -- selects the FAST FIRST (FFirst) retrieval tactic to
    SQL> -- retrieve the rows from the EMPLOYEES table in the
    SQL> -- following query:
    SQL> --
    SQL> select EMPLOYEE_ID, LAST_NAME
    cont> from EMPLOYEES
    cont> where EMPLOYEE_ID IN ('00167', '00168');
    Tables:
      0 = EMPLOYEES
    Leaf#01 FFirst 0:EMPLOYEES Card=100
      Bool: (0.EMPLOYEE_ID = '00167') OR (0.EMPLOYEE_ID = '00168')
      BgrNdx1 EMPLOYEES_HASH [(1:1)2] Fan=1
        Keys: r0: 0.EMPLOYEE_ID = '00168'
              r1: 0.EMPLOYEE_ID = '00167'
     EMPLOYEE_ID   LAST_NAME
     00167         Kilpatrick
     00168         Nash
    2 rows selected
    SQL> --
    SQL> -- Use the SET OPTIMIZATION LEVEL statement to specify that
    SQL> -- you want the TOTAL TIME (BgrOnly) retrieval strategy to
    SQL> -- be used.
    SQL> --
    SQL> SET OPTIMIZATION LEVEL 'TOTAL TIME';
    SQL> select EMPLOYEE_ID, LAST_NAME
    cont> from EMPLOYEES
    cont> where EMPLOYEE_ID IN ('00167', '00168');
    Tables:
      0 = EMPLOYEES
    Leaf#01 BgrOnly 0:EMPLOYEES Card=100
      Bool: (0.EMPLOYEE_ID = '00167') OR (0.EMPLOYEE_ID = '00168')
      BgrNdx1 EMPLOYEES_HASH [(1:1)2] Fan=1
        Keys: r0: 0.EMPLOYEE_ID = '00168'
              r1: 0.EMPLOYEE_ID = '00167'
     EMPLOYEE_ID   LAST_NAME
     00167         Kilpatrick
     00168         Nash
    2 rows selected
    SQL> --
    SQL> -- When the SET OPTIMIZATION LEVEL 'DEFAULT' statement
    SQL> -- is specified the session will revert to the default FAST FIRST
    SQL> -- optimizer tactic.
    SQL> --
    SQL> SET OPTIMIZATION LEVEL 'DEFAULT';
    SQL> select EMPLOYEE_ID, LAST_NAME
    cont> from EMPLOYEES
    cont> where EMPLOYEE_ID IN ('00167', '00168');
    Tables:
      0 = EMPLOYEES
    Leaf#01 FFirst 0:EMPLOYEES Card=100
      Bool: (0.EMPLOYEE_ID = '00167') OR (0.EMPLOYEE_ID = '00168')
      BgrNdx1 EMPLOYEES_HASH [(1:1)2] Fan=1
        Keys: r0: 0.EMPLOYEE_ID = '00168'
              r1: 0.EMPLOYEE_ID = '00167'
     EMPLOYEE_ID   LAST_NAME
     00167         Kilpatrick
     00168         Nash
    2 rows selected
    SQL>

    Example 2: Using sampled selectivity

    This example shows the use of the SET OPTIMIZATION LEVEL command
    and the resulting use of "Estim" prior to query compile. The
    estimate (34 rows) is quite close to the final result of 37 rows.

 SQL> set flags 'strategy,detail,execution';
 SQL> set optimization level 'total time, sampled selectivity';
 SQL> select * from employees where employee_id between '00000' and '00200';
 ~Estim EMP_EMPLOYEE_ID Sorted: Split lev=2, Seps=2 Est=34
 ~Estim EMP_EMPLOYEE_ID Sorted: Split lev=2, Seps=2 Est=34
 ~S#0005
 Tables:
     0 = EMPLOYEES
 Leaf#01 BgrOnly 0:EMPLOYEES Card=100
   Bool: (0.EMPLOYEE_ID >= '00000' AND (0.EMPLOYEE_ID <= '00200')
   BgrNdx1 EMP_EMPLOYEE_ID [1:1] Fan=17
     Keys: (0:EMPLOYEE_ID >= '00000') AND 0.EMPLOYEE_ID <= '00200')
 ~Estim EMP_EMPLOYEE_ID Sorted: Split lev=2, Seps=1 Est=17
 ~E#0005.01(1) Estim   Index/Estimate 1/17
 ~E#0005.01(1) Bgrndx1 EofData  DBKeys=37  Fetches=0+0  RecsOut=0  #Bufs=30
  EMPLOYEE_ID   LAST_NAME        FIRST_NAME  MIDDLE_INITIAL  ADDRESS_DATA1             ADRESS_DATA_2
    CITY                   STATE   POSTAL_CODE  SEX    BIRTHDAY     STATUS_CODE
  00190         O'Sullivan       Rick        G.              78 Mason Rd.               NULL
    Fremont                NH      03044        M      12-Jan-1923  1
    .
    .
    .
 ~E#005.01(1) Fin     Buf      DBKeys=37  Fetches=0+32  RecsOut=37
  00174         Myotte           Daniel      V.              95 Princeton Rd.           NULL
    Bennington             MA      03442        M      17-Jan-1948  1

    37 rows selected
 SQL>
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