I recently upgraded my Mac to Mavericks and, of course, MySql was hosed afterwards. I use MySql a lot for development and demos and dreaded going through the pain of getting it running again. I recalled the initial installation was fairly unpleasant, with a bit of trial and error before I finally had my test databases the way I wanted them. When I upgraded to Mavericks, I panicked when my tests started failing with errors connecting to MySql. Alas, it was broken. A bit of Googling indicated that it needed to be reinstalled on Mavericks, which was not actually true. Had I seenthisfirst, I would have known better.Anyway, I came across thisApple User Tipthat not only made installation and setup a snap, but made integration with OSx even better. Here is a summary from the article:
1.Download MySQL, if you haven't already. The article indicates to download the OSx 10.6 pkg with the dmg. I wanted the latest, so I got mysql-5.6.17-osx10.7-x86_64.tar.gz and extracted to/usr/local/mysql. Either way seems fine though.
2. Runsudo vi /Library/LaunchDaemons/com.mysql.mysql.plist, add and save the following:
3. Runsudo vi /etc/my.cnf, add and save the following:
[client]
socket=/var/mysql/mysql.sock
[mysqld]
socket=/var/mysql/mysql.sock
4. Runsudo launchctl load -w /Library/LaunchDaemons/com.mysql.mysql.plistand MySql will start. You are then ready toset the root password and add any users.
Hopefully this will save you some time. There are lots of things like this that can be a pain to do (or remember what you did last time). As I come across those, I will add them here.

MySQLdiffersfromotherSQLdialectsinsyntaxforLIMIT,auto-increment,stringcomparison,subqueries,andperformanceanalysis.1)MySQLusesLIMIT,whileSQLServerusesTOPandOracleusesROWNUM.2)MySQL'sAUTO_INCREMENTcontrastswithPostgreSQL'sSERIALandOracle'ssequenceandt

MySQL partitioning improves performance and simplifies maintenance. 1) Divide large tables into small pieces by specific criteria (such as date ranges), 2) physically divide data into independent files, 3) MySQL can focus on related partitions when querying, 4) Query optimizer can skip unrelated partitions, 5) Choosing the right partition strategy and maintaining it regularly is key.

How to grant and revoke permissions in MySQL? 1. Use the GRANT statement to grant permissions, such as GRANTALLPRIVILEGESONdatabase_name.TO'username'@'host'; 2. Use the REVOKE statement to revoke permissions, such as REVOKEALLPRIVILEGESONdatabase_name.FROM'username'@'host' to ensure timely communication of permission changes.

InnoDB is suitable for applications that require transaction support and high concurrency, while MyISAM is suitable for applications that require more reads and less writes. 1.InnoDB supports transaction and bank-level locks, suitable for e-commerce and banking systems. 2.MyISAM provides fast read and indexing, suitable for blogging and content management systems.

There are four main JOIN types in MySQL: INNERJOIN, LEFTJOIN, RIGHTJOIN and FULLOUTERJOIN. 1.INNERJOIN returns all rows in the two tables that meet the JOIN conditions. 2.LEFTJOIN returns all rows in the left table, even if there are no matching rows in the right table. 3. RIGHTJOIN is contrary to LEFTJOIN and returns all rows in the right table. 4.FULLOUTERJOIN returns all rows in the two tables that meet or do not meet JOIN conditions.

MySQLoffersvariousstorageengines,eachsuitedfordifferentusecases:1)InnoDBisidealforapplicationsneedingACIDcomplianceandhighconcurrency,supportingtransactionsandforeignkeys.2)MyISAMisbestforread-heavyworkloads,lackingtransactionsupport.3)Memoryengineis

Common security vulnerabilities in MySQL include SQL injection, weak passwords, improper permission configuration, and unupdated software. 1. SQL injection can be prevented by using preprocessing statements. 2. Weak passwords can be avoided by forcibly using strong password strategies. 3. Improper permission configuration can be resolved through regular review and adjustment of user permissions. 4. Unupdated software can be patched by regularly checking and updating the MySQL version.

Identifying slow queries in MySQL can be achieved by enabling slow query logs and setting thresholds. 1. Enable slow query logs and set thresholds. 2. View and analyze slow query log files, and use tools such as mysqldumpslow or pt-query-digest for in-depth analysis. 3. Optimizing slow queries can be achieved through index optimization, query rewriting and avoiding the use of SELECT*.


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