Top 10 Hottest Objects in Oracle by Touch Count using tables x$bh obj$ and user$
Top 10 Hottest Objects in Oracle by Touch Count using tables x$bh obj$ and user$
Purpose
This Oracle SQL query identifies the top 10 "hottest" objects within your database. In this context, "hot" refers to objects that have been accessed (or "touched") the most frequently. Understanding which objects are frequently used can help you:
- Optimize performance: By identifying frequently accessed objects, you can consider strategies like indexing, data partitioning, or materializing views to improve query response times.
- Capacity planning: Knowing your "hot" objects can assist in predicting storage and resource needs as your database grows.
- Troubleshooting: High touch counts on certain objects could indicate areas of contention or bottlenecks within your database.
Sample SQL Command
1col owner format a20 trunc
2col object_name format a30
3col touches format 9,999,999
4select *
5from (
6 select count(*)
7 , sum(tch) TOUCHES
8 , u.name OWNER
9 , o.name OBJECT_NAME
10 from x$bh x
11 , obj$ o
12 , user$ u
13 where x.obj = o.obj#
14 and o.owner# = u.user#
15 group by u.name, o.name
16 order by 2 desc
17 )
18where rownum < 11
19/
Code Breakdown
x$bh
: This is a dynamic performance view that tracks buffer headers. Thetch
column within it indicates the touch count for a buffer.obj$
anduser$
: These are static data dictionary views containing information about database objects and users, respectively.- The query joins these views to associate touch counts with the corresponding object and owner names.
group by
: The results are grouped byOWNER
andOBJECT_NAME
to calculate the total touch count for each object.order by 2 desc
: The output is sorted in descending order based on theTOUCHES
column, showing the most frequently accessed objects first.rownum < 11
: The query limits the output to the top 10 rows.
Explanations:
- Column Formatting: The
col
commands at the beginning are used to format the output columns for better readability. - Inline View: The inner
select
query acts as an inline view, calculating the touch counts and retrieving relevant information. - Outer
select
: The outer query simply selects all columns from the inline view and applies therownum
filter to limit the results.
References: