Performance considerations of UPDATE STATISTICS statements
The more specific you make the list of objects that the UPDATE STATISTICS statement examines, the faster it completes execution. Limiting the number of column distributions speeds the update. Similarly, precision affects the speed of the update. If all other keywords are the same, LOW works fastest, but HIGH examines the most data.
The USTLOW_SAMPLE environment option enables sampling during the gathering of index statistics for UPDATE STATISTICS operations in LOW mode. For an index with more than 100 K leaf pages, the gathering of statistics using sampling can increase the speed of the UPDATE STATISTICS operation.
Examples of UPDATE STATISTICS statements
UPDATE STATISTICS MEDIUM;
UPDATE STATISTICS MEDIUM RESOLUTION 10;
UPDATE STATISTICS MEDIUM RESOLUTION 10 .95;
{ RESOLUTION 10, CONFIDENCE .95}
UPDATE STATISTICS MEDIUM RESOLUTION 10 DISTRIBUTIONS ONLY;
UPDATE STATISTICS MEDIUM RESOLUTION 10 .95 DISTRIBUTIONS ONLY;
UPDATE STATISTICS HIGH;
UPDATE STATISTICS HIGH RESOLUTION 10;
UPDATE STATISTICS HIGH RESOLUTION 10 DISTRIBUTIONS ONLY;
Resolution must be greater than 0.005 and less than or
equal to 10.0. Confidence must be in the range [0.80, 0.99] (inclusive).CREATE PROCEDURE company_proc ( no_of_items INT,
itm_quantity SMALLINT, sale_amount MONEY,
customer VARCHAR(50), sales_person VARCHAR(30) )
SPECIFIC spec_cmpy
DEFINE salesperson_proc VARCHAR(60);
-- Update the company table
INSERT INTO company_tbl VALUES (no_of_items, itm_quantity,
sale_amount, customer, sales_person);
-- Generate the procedure name for the variable salesperson_proc
LET salesperson_proc = sales_person || "." || "tbl" ||
month(current) || "_" || year(current) || "_proc" ;
-- Execute the SPL procedure that the salesperson_proc
-- variable specifies
EXECUTE PROCEDURE salesperson_proc (no_of_items,
itm_quantity, sale_amount, customer);
END PROCEDURE;
CREATE FUNCTION square_w_default
(i INT DEFAULT 0) {Specifies default value of i}
RETURNING INT {Specifies return of INT value}
SPECIFIC spec_square
DEFINE j INT; {Defines routine variable j}
LET j = i * i; {Finds square of i and assigns it to j}
RETURN j; {Returns value of j to calling module}
END FUNCTION;
The UPDATE STATISTICS examples that follow reference the company_proc procedure
and square_w_default function: UPDATE STATISTICS FOR PROCEDURE;
UPDATE STATISTICS FOR PROCEDURE company_proc1;
UPDATE STATISTICS FOR PROCEDURE
company_proc1(INT,SMALLINT,MONEY,VARCHAR(50), VARCHAR(30));
UPDATE STATISTICS FOR SPECIFIC PROCEDURE spec_cmpy;
UPDATE STATISTICS FOR FUNCTION;
UPDATE STATISTICS FOR FUNCTION square_w_default;
UPDATE STATISTICS FOR FUNCTION square_w_default(INT);
UPDATE STATISTICS FOR SPECIFIC FUNCTION spec_square;
For a discussion of the performance implications of UPDATE STATISTICS, see your Informix® Performance Guide.
For a discussion of how to use the dbschema utility to view distributions created with UPDATE STATISTICS, see the Informix® Migration Guide.