I don't understand Collation? (Mysql, RDBMS, Character sets)

Question

I Understand Character sets but I don't understand Collation. I know you get a default collation with every Character set in Mysql or any RDBMS but I still don't get it! Can someone please explain in layman terms?

Thank you in advance ;-)

Answer 1

The main point of a database collation is determining how data is sorted and compared.

Case sensitivity of string comparisons

SELECT "New York" = "NEW YORK";` 

will return true for a case insensitive collation; false for a case sensitive one.

Which collation does which can be told by the _ci and _cs suffix in the collation's name. _bin collations do binary comparisons (strings must be 100% identical).

Comparison of umlauts/accented characters

the collation also determines whether accented characters are treated as their latin base counterparts in string comparisons.

SELECT "Düsseldorf" =  "Dusseldorf";
SELECT "Èclair" =      "Eclair";

will return true in the former case; false in the latter. You will need to read each collation's description to find out which is which.

String sorting

The collation influences the way strings are sorted.

For example,

• Umlauts Ä Ö Ü are at the end of the alphabet in the finnish/swedish alphabet latin1_swedish_ci

• they are treated as A O U in German DIN-1 sorting (latin_german1_ci)

• and as AE OE UE in German DIN-2 sorting (latin_german2_ci). ("phone book" sorting)

• In latin1_spanish_ci, "ñ" (n-tilde) is a separate letter between "n" and "o".

These rules will result in different sort orders when non-latin characters are used.

Using collations at runtime

You have to choose a collation for your table and columns, but if you don't mind the performance hit, you can force database operations into a certain collation at runtime using the COLLATE keyword.

This will sort table by the name column using German DIN-2 sorting rules:

SELECT name
FROM table
ORDER BY name COLLATE latin1_german2_ci;

Using COLLATE at runtime will have performance implications, as each column has to be converted during the query. So think twice before applying this do large data sets.

MySQL Reference:

• Character Sets and Collations That MySQL Supports
• Examples of the Effect of Collation
• Collation issues