I personally think DRBD has its place but there are far more cases when other techniques would work much better for variety of reasons.
First let me start with Florian’s comments on the issue as I think they are most interested ones.
First lets get to the point what we’re comparing here – it is mainly DRBD to MySQL Replication based techniques (lets leave MySQL Cluster and Continnuent alone for a while as these are a bit from different league). It is not the question if DRBD is better than SAN – it offers more independence compared to SAN and in my view surely superior from HA point of view but this is not the point of comparison.
“Failback could destroy the original master too”, however, is plain false. DRBD won’t “destroy the original master” any more than it already was if the filesystem on top of DRBD was fried beforehand.
Let us again compare MySQL Replication to DRBD in this case – in both cases due to some reasons you can have systems to run out of sync and have conflicting updates applied to them. With DRBD you have the choice of killing one of the nodes and re-syncing from another one while with MySQL Replication you can use Maatkit to merge the changes after all, also you can review binary logs to see which updates were applied to different nodes.
Transaction log replay, yes. But fsck? These days this amounts to running a journal replay. Takes under a second in most circumstance
I would put it 10 seconds but it does not matter. The transactional log reply is likely to take much longer than that. This is very bad property of DRBD – besides the well understood overhead of committing on both nodes instead of one you also meat the tough choice – you’ve got to pick either long recovery time or further degraded performance. In the large databases I run in production relaying on MySQL Replication for HA I often have 15+ minutes reply of Innodb Transactional log which would be a huge bummer with DRBD.
I would also say this implies hidden danger – the time it will take your database to do transactional log recovery is invisible until you get a crash, meaning if your production database size growths load changes or you happen to have failure during activity of certain kind you might have it taking much longer when expected. recovery time depends on a lot of variables.
The side question about it is of course the fact you have to be picky about storage engines you’re using – DRBD does not work with MyISAM (check required) so you need to have processes to ensure your application does not uses this storage engine which may be hard to guaranty in many environments when development has too much autonomy.
I must note in this aspect however DRBD goes on par with MySQL Statement Based Replication – it is also well too easy to use MySQL features which break replication.
The failover node is a hot standby, it’s just not a running slave node from the database’s standpoint. And, nothing stops you from running two databases on two servers on two DRBD devices laid out in a “criss-cross” fashion, converging on one node in case of node failure.
This actually goes to two topics. First – hot vs cold. If you’re using decent hardware and care about performance you use O_DIRECT with Innodb which makes it to bypass file cache. If you have it DRBD slave will be fully cold. But lets assume you’re ready to pay for yet another penalty DRBD introduce and do not use this option wast memory and CPU cycles on double caching. Even in this case DRBD slave node can’t be called hot because write load often does not touches the same data as read load. Here is simple example – assume you’re inserting the data at the same time as running reporting queries on last month. All last month will be hot on the slave which is doing reads but only last few hours will be hot on the standby box.
Running two instances on the server allows to reduce hardware waste with DRBD, though not eliminate because you get some disks which you can’t really use for anything else rather than HA. Two instances also complicate things – depending on infrastructure it can be seen as almost no complication or quite serious complication.
“Cannot do maintenance on cold standby database.”
But you can do anything you want with a database that you run off a DRBD LVM snapshot. Works on a Secondary node too.
I’m not sure Florian understood what was meant here. With MySQL Master-Master replication I can add and index on passive node, wait it to catch up and switch the roles (see another post) you can’t really do this with DRBD as this requires logical level of operation to work.
This is not to mention other things you can do with MySQL Replication, such as filtered replication or cross storage engine replication, though which are not typically used for HA purposes. Time Delayed replication is however something quite helpful for some environments. Though DRBD also could be extended to support one if needed.
Now, do not get me wrong DRBD is great, and thanks to Florian for following up and making sure myths about DRBD do not spread too wide.
So when I would recommend to use DRBD with MySQL ?
There some good reasons to use DRBD with MySQL though as I mentioned I do not view it as first choice solution.
First it is good choice for organizations which are got use to SAN based high availability solutions with active-passive management software. Quite often these guys would have be familiar with such HA concept and it would be very natural for them to use same approach for MySQL as they use for PostgreSQL for example instead of investing time to learn about MySQL Replication or just looking to keep MySQL infrastructure to be as close to one for other databases in use as possible.
Second – it is often inevitable choice when you can’t avoid loosing any transaction – period. Some people would rather stand longer fallback time (as with DRBD) but would not like to have lost transactions which may happen with async replication. Another similar case is when you’re looking to ensured consistency – MySQL Replication can out of sync – and there is bunch of tips in documentation of how to do it. With DRBD the chance of nodes running out of sync is minimal and can be caused by software and hardware bugs rather than known limitations.
You could argue depending on cases you spend most time working with how much cases do these correspond – some people mainly deal with systems which can’t accept any transactions loss and for these DRBD often comes as a first choice if you have more experience with traditional web shops – these usually would prefer to lose one user comment a year instead of paying extra performance costs.
It is worth to note DRBD also allows building very nice mixed environments with MySQL – for example you can replicate binary logs using DRBD so if master node fails you have not lost transactions – when you can use such logs to do point in time recovery or to catch up to last few not committed transactions on the slave. We should spend some time implementing such script sometime which could be helping to get best of both worlds.
But currently – You can’t have it all
The state of High Availability Solutions for MySQL these days is – you can’t have it all. There is no OpenSource solution out where which would offer you full redundancy use of both nodes at least for reads no transaction loss and automated fail over. Whenever you’re using MySQL Cluster, DRBD or MySQL Replication you have to have some compromises.
Percona’s widely read Percona Data Performance blog highlights our expertise in enterprise-class software, support, consulting and managed services solutions for both MySQL® and MongoDB® across traditional and cloud-based platforms. The decades of experience represented by our consultants is found daily in numerous and relevant blog posts.
Besides specific database help, the blog also provides notices on upcoming events and webinars.
Want to get weekly updates listing the latest blog posts? Subscribe to our blog now! Submit your email address below.