How to identify frequently accessed tables and indexes

Hi,
Could some one give me the exact queries to identify the frequently accessed Tabels and Indexes
Regards
Naveen

Hi,
depends from your definition of "frequently accessed" but i this you can use a query like this:
select owner,object_name, sum( value)
from V$SEGMENT_STATISTICS
where OBJECT_TYPE='TABLE'
and owner='NAVEEN_4_EX'
and STATISTIC_NAME in ('logical writes','logical reads')
group by owner,object_name
h.h.
Sam

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We are wondering how we can benefit from partitioning and or sub partitioning table A. since it's partitioned on >created_date but rarely qualify by that. Very good question. Why did you partition on it? You will never have INSERTS on these partitions, but maybe deletes and updates? The only advantage (I can think of) would be to set these partitions in a read only tablespace to ease backup... but that's a weired reason.
we have many queries where the data is identified by state that is indexed currently non partitioned on columns in >A ... there are also indexes on the foreign keys that get from C -> B -> A. Again these are non partitioned indexes at >this time.Of course. Why should they be partitioned by Create_date?
It is typical that we qualify A on either account or user or both. There are indexes (non partitioned) on these
We have a problem now because many of the queries use leading wildcards ie. account like '%ACCOUNT' etc. This >often results in large full table scans. Our solution has been to remove the leading wildcard but this isn't always possible.I would suspect full index scan. Isn't it?
We are also wondering where and how we can benefit from either global partitioned index or local partitioned >indexes on tables A. We suspect that the index on the foreign key from C to B could be a local partitioned index.As A is not accessed by any partition, why should C and B profit? You should look to partition by the key you are using to access. But, you are looking to tune your SQLs where the access is like '%ACCOUNT' on A. Then when there is a match. ORACLE joins via your index and nested loop (right?) to B and C.
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Hello Carlos
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http://rafioracledba.blogspot.com
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Hi Carlos,
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Message was edited by:
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regards and thanks?

hi,
check this query below
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How to identify frequently accessed tables and indexes

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