Why I Tend To Avoid MySQL
A summary of reasons why I tend to avoid MySQL (or MariaDB for that matter) and use PostgreSQL instead:
Don’t get me wrong - MySQL is a highly performant database. It just has those ridiculous “features” which cause you to share a lot of intimate wtf moments.
utf8 replaces certain characters with
Yes. In MySQL world,
utf8 is not a full-blown Unicode character set, and thus
it can’t represent all Unicode characters. It’s an alias for
utf8mb3 which simply throws away
certain characters as unsupported, for optimization reasons. Thankfully, MySQL is deprecating
and will use
utf8mb4 which is able to represent all Unicode characters.
Premature optimization. Rating: 3 out of 3 facepalms, since it causes a lot of wtf moments for no apparent reason.
2. table name case-sensitive, but not on Windows
Rating: 3 out of 3 facepalms, just because it’s so fucking ridiculous.
3. fulltext index randomly finds nothing
Imagine that you have a unique index U on
name, and an index I1 on
and a full-text index I2 on
SELECT * FROM foo where owner_id=3 and MATCH(name) against ('foo')
will RANDOMLY match nothing and return nothing. That’s because
MySQL will randomly use the unique index U instead of a combination of I1 and I2, which
is extremely hard to figure out. See MySQL sporadic MATCH AGAINST behaviour with unique index
for more details.
Random behavior changes. Rating: 3 out of 3 facepalms.
4. DDLs do not run in a transaction
The DDLs do not run in a transaction, can not be rolled back and therefore can not be considered atomic. If you use a database migration tool such as FlyWay and the DDL fails, FlyWay will have no way of knowing how many of the DDLs in the script actually passed, and it will mark that particular migration as failed and you will have to repair it manually.
Alternatively, you can have one DDL per file (which is annoying) and then somehow tell FlyWay to not to mark failed DDLs as failed migration (since now the migrations are atomic).
Rating: 1 out of 3 facepalms, since running DDL in a transaction is quite hard to implement and only a handful of databases support this (PostgreSQL does).
5. Need to clean up FK in a separate transaction
There is no other sane way to delete all rows from a self-referential table other than running two statements:
UPDATE 'recursive' SET 'parent_id' = NULL WHERE 'parent_id' IS NOT NULL; DELETE FROM 'recursive';
Rating: 3 out of 3 facepalms + 1 additional facepalm because of having to run those two statements in a separate transaction, risking database corruption in case the DELETE fails.
6. Unicode not enabled by default
latin1 as the default charset; need to specify
CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_520_ci for every table create DDL;
need to specify
characterEncoding=UTF-8 to the JDBC driver (
useUnicode=true is not enough)
to even transfer unicode characters properly to the MySQL server.
2 out of 3 facepalms + 1 facepalm for
useUnicode=true not working.
7. It takes forever to start in Docker
It takes some 30 seconds to start MySQL, as opposed to PostgreSQL, which starts in 2-3 seconds.
3 out of 3 facepalms, since MySQL is clearly inferior to PostgreSQL.