Top ten most common database queries
Queries with a high execution volume warrant regular review and inspection. You want to create a list of the top ten so that you can work with the owners to optimize such queries.
Data required
Procedure
- Verify that you have deployed Splunk Stream.
- Run the following search. You can optimize it by specifying an index and adjusting the time range.
|top query useother=true
Search explanation
The table provides an explanation of what each part of this search achieves. You can adjust this query based on the specifics of your environment.
| Splunk Search | Explanation |
|---|---|
|
|
Return the top 10 most common queries, with a count and percent value for each query. Merge the results not included in the table into a single new row called "OTHER". You can change the number of queries returned by adding the |
Next steps
The result is a table showing the top 10 queries by count. Owners should be notified when their queries are in the top ten so they can optimize them to make the query exceptionally fast. Where possible, upstream refactoring, such as caching, may be considered to minimize the number of times the query is called.
In addition, the SQL statements themselves can tell a story about potential policy violations, such as large full table scans of sensitive data such as human resources information or passwords.
| query | count | percent |
|---|---|---|
|
SELECT * FROM hr_employee_info |
1700 |
12.834063 |
|
SELECT password FROM SYS.USER$ WHERE name='SYS' |
887 |
6.696361 |
|
SELECT * FROM customers WHERE customer_uid=b56a5c74-87a3-4593-9eb5-2d2b1c38a0d8 |
22 |
0.166088 |
|
SELECT * FROM customers WHERE customer_uid=5d052b26-9b18-44a0-b4db-7c4b028e74e2 |
22 |
0.166088 |
Finally, you might also want to look at similar searches in our article Analyzing wire data from databases.