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How big can a MySQL database get before performance starts to degrade


By : RIco
Date : July 27 2020, 05:00 AM
should help you out The physical database size doesn't matter. The number of records don't matter.
In my experience the biggest problem that you are going to run in to is not size, but the number of queries you can handle at a time. Most likely you are going to have to move to a master/slave configuration so that the read queries can run against the slaves and the write queries run against the master. However if you are not ready for this yet, you can always tweak your indexes for the queries you are running to speed up the response times. Also there is a lot of tweaking you can do to the network stack and kernel in Linux that will help.
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Will MySQL performance degrade too much with 250k rows added per year?


By : Rxsol Asia
Date : March 29 2020, 07:55 AM
wish help you to fix your issue 250k rows is not huge. 10 million is still perfectly fine (40 years, I guess it won't last that long), even half the time (20 years) would still be a long time for a software system.
If you create your queries properly, and set the right indexes, you should be fine. Always check with EXPLAIN EXTENDED if your indexes are properly used on a query.

Will SQLite performance degrade if the database size is greater than 2 gigabytes?


By : joseph
Date : March 29 2020, 07:55 AM
Does that help There is no 2 GB limit.
SQLite database files have a maximum size of about 140 TB.

How can indexes degrade MySQL performance?


By : Chris Zhu
Date : March 29 2020, 07:55 AM
may help you . Writes and Updates have to create or amend indexed values. Therefore these can be slower when there are lots of indexes on a table. If you really don't care about read time at all then don't use indexes.
However good indexes will greatly improve read performance while only slightly degrading write performance, so only do this if reads really, really don't matter.

Can a single SELECT significantly degrade the performance of an Oracle Database?


By : mehdi
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further The simplest approach would be to issue a query that does a Cartesian product of your biggest table with itself a bunch of times. That will blow out your TEMP tablespace rather quickly and generate errors for other sessions that need to sort. You can mitigate that either by granting limited quotas on TEMP (which may get tricky if this is an application account that is used by multiple people simultaneously rather than an individually identifiable account) or by using Resource Manager to kill sessions that either run too long or that use too much CPU or I/O resources.
Even without an explicit PARALLEL hint, it's possible that Oracle will use parallelism automatically. Depending on the Oracle version and how you've configured parallelism, turning on parallel automatic tuning to limit the total number of parallel workers at any time. Of course, that doesn't prevent the read-only user from creating a dozen sessions each of which spawns a couple of parallel workers that choke off other sessions that you actually want to run more parallel workers. You can use Resource Manager to configure priorities for different types of workload if and when the system becomes CPU constrained.

Insertion performance degrade with large index (MYSQL)


By : user4530880
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further Use InnoDB instead of MyISAM.
InnoDB helps by buffering writes to secondary indexes, merging them if possible, and delaying the expensive I/O. You can read more about this feature in the MySQL Manual under Controlling InnoDB Change Buffering.
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