Debug mysql hangs

Hanging
Photo by BigGolf

As I’m dealing with larger and larger sets of data, I’m hitting situations where a mysql operation starts to take many seconds, and may lock the table it’s working with for reads and writes. That means not only does the task that’s waiting for the result get stuck, other parts of the system can end up wedged too.

If mysql does stop responding, fire up the command-line client, and then run

SHOW PROCESSLIST;

This will output a table describing every job that the database server is working on, or has in its queue. The Info column gives a summary of what the command is, and the State describes whether it’s being processed, or if it’s waiting for another job to finish first. What you’ll usually see with these hangs is that there’ll be one row that’s showing a high number of seconds in the time row, and then a queue of other commands waiting for that one to finish. So what can you do to fix that?

The first thing is to stop the server processing the job if it’s going to take a crazy amount of time to complete. If you look at the process list, note down the Id number in the first column of the one you want to stop, for example 25991, and type

KILL 25991;

There’s no guarantee that bad things won’t happen to your data if you do stop a job halfway, so use this with caution! If you want to understand why a query ended up taking a long time, that deserves a long post to itself, but the best place to start is by running DESCRIBE <your query>, for example

DESCRIBE SELECT * FROM messages;

That will give you a rundown of how many rows it will look at, and whether with will be able to use any indices or keys to speed up the operation.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: