cache database low hit ratio (85%)

Hi guys,.

I understand that db high cache hit ratio is no indication that the database is in good health.
The database could be other 'physical' readings due to the listen SQL.

However, can you explain why a ratio / low cache access cannot indicate that the db is unhealthy, such as db additional memory allocated?
What I think is probably:

1. the database can query various data most of the time. So the data are not yet read older seized cache. Even if I add additional memory, the data could not be read again (from memory).
2.?
3.

I'm reluctant to list the databases below 90% as part of the monthly management report successfully. For them, less than 90% means unhealthy.
If these reports, which will be used in the monthly report, it will be a long article to explain why these ratios can not respond but there is no worry of performance.

As such need your expert advise on that.

Thank you

Published by: Chewy on March 13, 2012 01:23

Hello

You said that there is no complaint of the end-user, but that management wants to proactively scan the system. OK, monitoring proactive is a good thing, but you have to understand your system well enough to understand what to monitor. As mentioned Sybrand, if you have a system that everyone is satisfied, it does not matter what is the BCHR.

So, what to do? Well, the answer is not simple. You must understand your system. Specifically, what are the strategic functions of your system? It doesn't matter if these are the reports that the Finance Office needs, measured in minutes or hours or response time on a special form, measured in second or subsecond response time. The point is, understand your system, what is expected and what is achievable, and then use this information to try to find contracts of service level (SLA). An SLA can read something like "90% of the executions of the sales report will daily complete in 10 minutes or less. It is important to structure the ALS in this way, "x % of executions of task that is completed in minutes of z '. If you simply say "task will be always full minutes z", you are setting yourself up for failure. All systems have variance. It's inevitable. Put between parentheses and boundaries around variance is durable and is a system that you will be able to work with.

So, in summary:
1.) define critical tasks.
(2.) to characterize their performance.
3.) working with end users and/or management define SLA contracts.
4.) set up monitors that will measure the performance of the system and warn you if you exceed a SLA.

Hope that helps,

-Mark

Tags: Database

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