- Most common error is to select the dates that has time on it.e.x selecting the records of yesterday .column_name ise insert_date and has an index on it
....where trunc(insert_date)=trunc(sysdate-1)
Above example prevents index usage instead of it try this
... where insert_date >=trunc(sysdate-1) and insert_date <trunc(sysdate)
Lets' arrange this example for a determined date (e.x '22/09/2010')
... where insert_date >=to_date('22/09/2010','dd/mm/yyyy') and insert_date <to_date('23/09/2010','dd/mm/yyyy'); - Adding,substracting .. an expression to indexed column.(e.x There is an index on salary column which we expect to be used )
select count(*) from employee where salary+100 >1000;
Above example prevents index usage instead of it try this
select count(*) from employee where salary >1000-100;
also this operation can be while a join operation like
select * from table1 a,table2 b where a.start_date > sysdate-10 and b.salary+100=b.min_value;
Above example prevents index usage instead of it try this
select * from table1 a,table2 b where a.start_date > sysdate-10 and b.salary=b.min_value-100; - Concatenate index column (e.x we have index on first_name,last_name)
select * from employee where first_name||' '||last_name='SERDAR TURGUT';
instead of it try this
select * from employee where first_name='SERDAR' and last_name='TURGUT'; - substring operations
...where substr(id,1,2) = 'AA';
Think that first two latter of a column indicate someting so we try to query the first n later then try this
...where id like 'AA%';
If we do not use only first n characters also we use starting from n th character like
...where substr(id,3,2) = 'AA';
Then I can advice two solutions. first solution is tell your dba to create a function based index on substr(id,3,2) .Second solution is review the data model and usage of this column .Your mistake is Instead of defining a different column you have concatenated the different columns on one column. like first two characters are a different property and then three characters are another .. Then you can divide this column into different columns - Inequalities prevent index usage (e.x we have index on status integer column )
.. where status <>0;
Think that all the values >=0 so we want to select all the rows except 0
...where status >0;
Note:This articale is for SQL developers for SQL Tuning
Related Topics:Index not used because of type conversion
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