MySQL maximum memory usage -


I would like to know how it is possible to determine the upper limit on the amount of memory that Linux uses on a Linux server.

Now, MySQL will continue to take the memory with every new query so that it ultimately falls out of memory is there a way to set a limit so that this amount can not be used by MySQL ?

MySQL maximum memory usage depends on very hardware, your settings and Database itself

Hardware

Hardware is a clear part. Do not trust those monthly or weekly newspapers, more RAM carriers, fast disc ftw though MySQL is not on linear scale - not even on Oracle hardware. This is a little less than that.

The bottom line is: There is no general rule of thumb to recommend for your MySQL setup, it depends on all current usage or estimates.

Settings & amp; Database

MySQL provides switches to customize countless variables and its behavior. If you run into problems, you really need to sit down and read the f'ing manual.

For the database - Some important constraints:

  • Index
  • Use << li>
  • <
  • Most MySQL tips on StackHowflow will tell you about 5-8 which are the important settings first, all of them Things are not - eg Allotting many resources for INODB and not using InDebbi is not very understandable because these resources are in vain.

    or - too many people max_connection variable - well, they know less that this also means that MySQL is able to fulfill those max_connections Allocation of more resources - if there is ever a more clear solution that may be necessary, turn off the database connection in your DBAL or empty those threads to reduce wait_timeout .

    If you catch my drift - there really is a lot, a lot of people have to forget soon and then suddenly they start fighting with 30 GB size

    engine

    Code> MySam table that locks and blocks your entire application.

    I do not mean that missless , but as fast as almost or as InnoDB MyISAM Can be tweaked to respond and provides such things as line locking at UPDATE while MyISAM locks the entire table as it is written.

    If you want to have the freedom to run MySQL on your own infrastructure, you can also check among many contributions from companies like Facebook and Google (they know faster), purse in Also included is Oana's own drop-in replacement for XtraDB named InnoDB . See my gist for Percona-server (and -client) setup (on Ubuntu):

    Size

    The size of the database is very, very important - whether or not it believes, Most people have never worked on intrababs and have written intensive MySQL setup, but they actually exist. Some people troll and some say, "Use postgresqual !!! 111", but let's now ignore them.

    Below is the line: Identifying by size, making decisions about hardware. You can actually run 80 GB of database on 1 GB of RAM.

    Index

    Not so: More, Marieres. Only the necessary indexes are being determined and should be checked with EXPLAIN . Include that MySQL's EXPLAIN is actually limited, but it's a start.

    Recommended configuration

    About these my-large.cnf and my-medium.cnf files - let me know It is also unaware that for whom it was written for the sake of their role.

    Tuning Primer

    It's a good start, it's a bass script (hint: you'll need linux) which shows the show versions and show status and hopefully wrap it in useful recommendation. If your server is running for a while, then the recommendation will be better, because the data will be based on them.

    Although the tuning primer is not a magic sauce. You should still read on all the variables that suggest changing it.

    Reading

    I really would like to recommend. It's a great resource for all types of MySQL-related suggestions and it's not just MySQL, they also know a lot about the right hardware or recommend set up for AWS, etc. These people have years of experience and years of experience.

    Another great resource is definitely.


Comments

Popular posts from this blog

c# - ListView onScroll event -

PHP - get image from byte array -

Linux Terminal Problem with Non-Canonical Terminal I/O app -