Wednesday, November 20, 2019

SCRIPT TO LIST THE HISTORY OF LOG SWITCHES PER HOUR IN DAY



SCRIPT TO LIST THE HISTORY OF LOG SWITCHES PER HOUR IN DAY


Using below query you can find how many redo log switched per hours in oracle database .it will show you how much database is busy .


Login as sys user and run below query .

Query:
============

select Hour , round(avg(LOG_SWITCHES)) LOG_SWITCHES
from (
 select to_char(trunc(first_time, 'HH'),'HH24') Hour, TRUNC(FIRST_TIME, 'DDD'), count(*) LOG_SWITCHES
 from v$log_history 
 group by TRUNC(FIRST_TIME, 'DDD'), trunc(first_time, 'HH')
 order by 1
 )
group by Hour
order by Hour;


Example :

SQL> select Hour , round(avg(LOG_SWITCHES)) LOG_SWITCHES
from (
 select to_char(trunc(first_time, 'HH'),'HH24') Hour, TRUNC(FIRST_TIME, 'DDD'), count(*) LOG_SWITCHES
  2    3    4   from v$log_history
 group by TRUNC(FIRST_TIME, 'DDD'), trunc(first_time, 'HH')
 order by 1
  5    6    7   )
group by Hour
  8    9  order by Hour;

HO LOG_SWITCHES
-- ------------
00           56
01          439
02          412
03          120
04          306
05          419
06            7
07            8
08          137
09          182
10          113
11           17
12            2
14            1
17          119
18          301
19          117
21            7
22            3

19 rows selected.

SQL>

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About the Author : Anurag Pandey | Database cloud Architect | Oracle | SQL Server | PostgreSQL | AI and Data Platform Enthusiast

Anurag Pandey is a Database Architect with expertise in Oracle, PostgreSQL, SQL Server, Linux, and enterprise database platforms and specializes in database architecture, performance tuning, high availability, disaster recovery, cloud modernization, and operational excellence. With extensive experience in enterprise-scale environments, Anurag is passionate about leveraging AI, automation, and modern data platforms to improve reliability, scalability, and business outcomes. He actively contributes to technical communities through knowledge sharing, architecture guidance, and thought leadership in database and data engineering domains.

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