you know databases, how hard can MySQL be?
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DBAs everywhere are being asked to support MySQL as a less costly alternative in Oracle's portfolio. Rest assured, (almost) everything you know about Oracle can be translated and applied to supporting MySQL with some new vocabulary and some smart starting points. This talk will touch on 5 things that are helpful to get right from the beginning. Through anecdotes i'll spotlight some common pitfalls, share paths to a fix If you've inherited a running system and offer a vocabulary lesson so those who speak Oracle can start understanding MySQL. I'll be touching on user management and security, backups and replicas, monitoring, storage engine choices, and probably monitoring again (because it is that important).
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you know databases, how hard can MySQL be?
- 1. you know databases (how hard can MySQL be?) sarah novotny – [email_address] open database services www .BlueGecko . net
Editor's Notes
- datadir
- best practices including removing test users, requiring passwords, not logging in as root,
- •❑ inno - row with exception •❑ myi - table -- fast in some cases and search cases ( fast inserts? without lock )•❑federated - replication not multiple master. •❑ blackhole handy for logging without inserting into db or skipping a db for fake muliple master
- Much performance pain come into play with lock contention
- Much performance pain come into play with lock contention Names changed to protect the innocent
- Understand MTR and see if you meet that goal. tarball /dump / cpio not a valid backup
- •❑ tarball /dump / cpio not a valid backup •❑ replication•❑innohot•❑lvm backup script... lvmbackup? •❑ mysqldump = 100% inno ok. single transaction .•❑xtrabackup -- free innohot
- LVM and slaves give easy opportunities for creating clones for testing
- If you’re worried about swapping, use huge page support for mysql (linux doesn’t swap out huge pages
- •❑ disk•❑memory•❑up/down•❑cachehit -- baseline defiinition•❑replication •❑ mktablesync•❑mkchecksum