Generating And Clearing Statistics For Columns; Column Lists And Access Plans; Examples Of Update Statistics - HP Neoview SQL Reference Manual

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Generating and Clearing Statistics for Columns

To generate statistics for particular columns, name each column, or name the first and last columns
of a sequence of columns in the table. For example, suppose that a table has consecutive columns
CITY, STATE, ZIP. This list gives a few examples of possible options you can specify:
Single-Column Group
ON CITY, STATE, ZIP
ON CITY TO ZIP
ON ZIP TO CITY
ON CITY, STATE TO ZIP
ON CITY TO STATE, ZIP
The TO specification is useful when a table has many columns, and you want histograms on a
subset of columns. Do not confuse (CITY) TO (ZIP) with (CITY, STATE, ZIP), which refers to a
multi-column histogram.
You can clear statistics in any combination of columns you specify, not necessarily with the
column-group-list you used to create statistics. However, those statistics will remain until
you clear them.

Column Lists and Access Plans

Generate statistics for columns most often used in data access plans for a table—that is, the
primary key, indexes defined on the table, and any other columns frequently referenced in
predicates in WHERE or GROUP BY clauses of queries issued on the table. Use the EVERY
COLUMN option to:
Generate histograms for every individual column or multicolumns that make up the primary
key and indexes
Enable the optimizer to choose a better plan.
The EVERY KEY option generates histograms that make up the primary key and indexes.
If you often perform a GROUP BY over specific columns in a table, use multi-column lists in the
UPDATE STATISTICS statement (consisting of the columns in the GROUP BY clause) to generate
histogram statistics that enable the optimizer to choose a better plan. Similarly, when a query
joins two tables by two or more columns, multi-column lists (consisting of the columns being
joined) help the optimizer choose a better plan.

Examples of UPDATE STATISTICS

This example generates four histograms for the columns jobcode, empnum, deptnum, and
(empnum, deptnum) for the table EMPLOYEE. Depending on the table's size and data
distribution, each histogram should contain ten intervals.
UPDATE STATISTICS FOR TABLE employee
ON (jobcode),(empnum, deptnum)
GENERATE 10 INTERVALS;
--- SQL operation complete.
This example generates histogram statistics using the ON EVERY COLUMN option for the
table DEPT. This statement performs a full scan, and Neoview SQL determines the default
number of intervals.
UPDATE STATISTICS FOR TABLE dept
ON EVERY COLUMN;
178
SQL Statements
Single-Column Group Within
Parentheses
ON (CITY),(STATE),(ZIP)
ON (CITY) TO (ZIP)
ON (ZIP) TO (CITY)
ON (CITY), (STATE) TO (ZIP)
ON (CITY) TO (STATE), (ZIP)
Multicolumn Group
ON (CITY, STATE) or ON
(CITY,STATE,ZIP)

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