set long 10000
select dbms_stats.report_col_usage('SALES', 'ORDERS') from dual;
exit
Output could look something like this:
DBMS_STATS.REPORT_COL_USAGE('SALES','ORDERS')
--------------------------------------------------------------------------------
LEGEND:
.......
EQ : Used in single table EQuality predicate
RANGE : Used in single table RANGE predicate
LIKE : Used in single table LIKE predicate
NULL : Used in single table is (not) NULL predicate
EQ_JOIN : Used in EQuality JOIN predicate
NONEQ_JOIN : Used in NON EQuality JOIN predicate
FILTER : Used in single table FILTER predicate
JOIN : Used in JOIN predicate
DBMS_STATS.REPORT_COL_USAGE('SALES','ORDERS')
--------------------------------------------------------------------------------
GROUP_BY : Used in GROUP BY expression
...............................................................................
###############################################################################
COLUMN USAGE REPORT FOR SALES.ORDERS
.......................................................
1. ORDER_DATE : EQ RANGE
2. ORDER_ID : EQ
3. ITEM_NAME : EQ
###############################################################################
This makes it easy to see which columns could benefit from an index.
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