问题
I have a MySQL database with a MyISAM table with 4 million rows. I update this table about once a week with about 2000 new rows. After updating, I then alter the table like this:
ALTER TABLE x ORDER BY PK DESC
I order the table by the primary key field in descending order. This has not given me any problems on my development machine (Windows with 3GB memory). Three times I have tried it successfully on the production Linux server (with 512MB RAM - and achieving the resulted sorted table in about 6 minutes each time), the last time I tried it I had to stop the query after about 30 minutes and rebuild the database from a backup.
Can a 512MB server cope with that alter statement on such a large table? I have read that a temporary table is created to perform the ALTER TABLE command.
Question: Can this alter command be safely run? What should be the expected time for the alteration of the table?
回答1:
As I have just read, the ALTER TABLE ... ORDER BY ... query is useful to improve performance in certain scenarios. I am surprised that the PK Index does not help with this. But, from the MySQL docs, it seems that InnoDB does use the index. However InnoDB tends to be slower as MyISAM. That said, with InnoDB you wouldn't need to re-order the table but you would lose the blazing speed of MyISAM. It still may be worth a shot.
The way you explain the problems, it seems that there is too much data loaded into memory (maybe there is even swapping going on?). You could easily check that with monitoring your memory usage. It's hard to say as I do not know MySQL all that well.
On the other hand, I think your problem lies at a very different place: You are using a machine with only 512 Megs of RAM as Database server with a table containing more than 4Mio rows... And you are performing a very memory-heavy operation on the whole table on that machine. It seems that 512Megs will not nearly be enough for that.
A much more fundamental issue I am seeing here: You are doing development (and quite likely testing as well) in an environment that is very different to the production environment. The kind of problem you are explaining is to be expected. Your development machine has six times as much memory as your production machine. I believe I can safely say, that the processor is much faster as well. In that case, I suggest you create a virtual machine mimicking your production site. That way you can easily test your project without disrupting the production site.
回答2:
is the primary key auto_increment? if so, then doing ALTER TABLE ... ORDER BY isn't going to improve anything since everything will be inserted in order anyway.
(unless you have lots of deletes)
回答3:
I'd probably create a View instead which is ordered by the PK value, so that for one thing you don't need to lock up that huge table while the ALTER is being performed.
回答4:
What you're asking it to do is rebuild the entire table and all its indexes; this is an expensive operation particularly if the data doesn't fit in ram. It will complete, but it will be vastly slower if the data doesn't fit in ram, particularly if you have lots of indexes.
I question your judgement when choosing to run a machine with such tiny memory in production. Anyway:
- Is this ALTER TABLE really necessary; what specific query are you trying to speed up, and have you tried it without?
- Have you considered making your development machine more like production? I mean, using a dev box with MORE memory is never a good idea, and using a different OS is definitely not either.
There is probably also some tuning you can do to try to help; it largely depends on your schema (indexes in particular). 4M rows is not very many (for a machine with normal amounts of ram).
回答5:
If you're using InnoDB, you shouldn't have to explicitly perform the ORDER BY either post-insert or at query time. According to the MySQL 5.0 manual, InnoDB already defaults to primary key ordering for query results:
http://dev.mysql.com/doc/refman/5.0/en/alter-table.html#id4052480
MyISAM tables return records in insertion order by default, instead, which may work as well if you only ever append to the table, rather than using an UPDATE query to modify any rows in-place.
来源：https://stackoverflow.com/questions/1359097/mysql-alter-table-on-very-large-table-is-it-safe-to-run-it