By Baron Schwartz
How are you able to deliver out MySQL’s complete strength? With High functionality MySQL, you’ll study complicated ideas for every thing from designing schemas, indexes, and queries to tuning your MySQL server, working process, and to their fullest power. This consultant additionally teaches you secure and sensible how one can scale functions via replication, load balancing, excessive availability, and failover.
Updated to mirror fresh advances in MySQL and InnoDB functionality, beneficial properties, and instruments, this 3rd version not just bargains particular examples of the way MySQL works, it additionally teaches you why the program works because it does, with illustrative tales and case stories that reveal MySQL’s rules in motion. With this booklet, you’ll research how to think in MySQL.
- Learn the consequences of recent gains in MySQL 5.5, together with saved strategies, partitioned databases, triggers, and views
- Implement advancements in replication, excessive availability, and clustering
- Achieve excessive functionality whilst working MySQL within the cloud
- Optimize complex querying gains, similar to full-text searches
- Take benefit of sleek multi-core CPUs and solid-state disks
- Explore backup and restoration strategies—including new instruments for decent on-line backups
Preview of High Performance MySQL: Optimization, Backups, and Replication PDF
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Extra info for High Performance MySQL: Optimization, Backups, and Replication
Binary strings are similar to traditional strings, yet they shop bytes rather than characters. Padding can be various: MySQL pads BINARY values with \0 (the 0 byte) rather than areas and doesn’t strip the pad worth on retrieval.  those varieties are priceless in the event you have to shop binary information and need MySQL to check the values as bytes rather than characters. the benefit of byte-wise comparisons is greater than only a subject of case insensitivity. MySQL actually compares BINARY strings one byte at a time, in response to the numeric worth of every byte. consequently, binary comparisons should be a lot easier than personality comparisons, in order that they are quicker. Generosity could be Unwise Storing the worth 'hello' calls for the same quantity of area in a VARCHAR(5) and a VARCHAR(200) column. Is there any virtue to utilizing the shorter column? because it seems, there's a giant virtue. the bigger column can use even more reminiscence, simply because MySQL usually allocates fixed-size chunks of reminiscence to carry values internally. this is often particularly undesirable for sorting or operations that use in-memory transitority tables. an analogous factor occurs with filesorts that use on-disk transitority tables. the simplest process is to allocate in simple terms as a lot house as you really want. BLOB and textual content forms BLOB and textual content are string information forms designed to shop quite a lot of facts as both binary or personality strings, respectively. actually, they're each one households of information varieties: the nature kinds are TINYTEXT, SMALLTEXT, textual content, MEDIUMTEXT, and LONGTEXT, and the binary varieties are TINYBLOB, SMALLBLOB, BLOB, MEDIUMBLOB, and LONGBLOB. BLOB is a synonym for SMALLBLOB, and textual content is a synonym for SMALLTEXT. not like with all different facts varieties, MySQL handles every one BLOB and textual content worth as an item with its personal identification. garage engines frequently shop them particularly; InnoDB may perhaps use a separate “external” garage zone for them while they’re huge. every one price calls for from one to 4 bytes of space for storing within the row and sufficient room in exterior garage to really carry the worth. the single distinction among the BLOB and textual content households is that BLOB varieties shop binary info without collation or personality set, yet textual content kinds have a personality set and collation. MySQL types BLOB and textual content columns otherwise from different forms: rather than sorting the complete size of the string, it varieties merely the 1st max_sort_length bytes of such columns. if you would like to type by way of in basic terms the 1st few characters, you could both lessen the max_sort_length server variable or use ORDER by means of SUBSTRING(column, length). MySQL can’t index the complete size of those facts kinds and can’t use the indexes for sorting. (You’ll locate extra on those subject matters within the subsequent bankruptcy. ) On-Disk transitority Tables and kind documents as the reminiscence garage engine doesn’t aid the BLOB and textual content forms, queries that use BLOB or textual content columns and wish an implicit transitority desk should use on-disk MyISAM transitority tables, even for just a few rows. (Percona Server’s reminiscence garage engine helps the BLOB and textual content varieties, yet on the time of writing, it doesn’t but hinder on-disk tables from getting used.