How to Determine If the Oracle Redo Log File Size Is a Problem

Oracle

Two potential problems are possible that should be addressed when considering whether to increase the size of Oracle log files: batch jobs that don’t have enough total redo space to complete and long-running jobs that are spending a large amount of time wsitching online redo logs.

The first concerns batch jobs that do not have enough total redo space to complete or are so fast that the online redo logs wrap (cycle through all the logs and start writing to the first one again) before they are archived to the offline redo logs. Because an online redo log cannot be overwritten until it is archived (when archiving is enabled), DML and DDL activity has to wait until an online log becomes available. By listing the online redo logs with their last update date and time at the operating system level, you can determine how often they are switching. You can also query V$LOG_HISTORY for the last 100 log switches. If you increase the size of the online redo logs, it may provide the space for large batch jobs doing large INSERT, UPDATE, and DELETE transactions. A better solution may be to increase the number of online redo logs so the additional space is provided while also having a frequent log switch (smaller but more online redo logs).

The second potential problem concerns long-running jobs that are spending a large amount of time switching online redo logs. Long-running jobs are often much faster when the entire job fits into a single online redo log. For the online transaction processing (OLTP) type of environment, smaller online redo logs are usually better. My rule of thumb is for online redo logs to switch every half hour (not counting the long-running batch jobs that shorten this time). By monitoring the date and time of the online redo logs at the operating system level (or querying V$LOG_HISTORY), you can determine whether to increase the size or number of online redo logs to reach an optimum switching interval.

Here is a query that shows you the time between log switches. It can be handy in determining if you have a problem:

select  b.recid,
        to_char(b.first_time, ’dd-mon-yy hh:mi:ss’) start_time, 
        a.recid,
        to_char(a.first_time, ’dd-mon-yy hh:mi:ss’) end_time,
        round(((a.first_time-b.first_time)*25)*60,2) minutes
from    v$log_history a, v$log_history b
where   a.recid = b.recid + 1
order   by a.first_time asc

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