January 9, 2025

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So that you made a mistake, you pushed an utility change that unintentionally triggered a large surge of knowledge to hit your database. And now your occasion has made pleased use of the characteristic of routinely increasing your storage while you get near operating out of disk area. More often than not, this can be a lifesaving characteristic that forestalls downtime attributable to a progressively growing database operating out of area. However this time a mistake causes your storage to spike a lot increased than it usually would. Fortunately you’ve now mounted the applying bug and your database isn’t being overrun anymore, however the harm has been completed and now your disk is far greater than it must be. And whereas the adage “Storage is affordable” may be true, in the event you’re renting it as an alternative, you need to make sure you’re not paying for an excessive amount of area you’re not utilizing.

There’s not (but) a great way to easily shrink the scale of your Cloud SQL occasion’s disk. Block storage, whereas giving us the efficiency we would like, sadly is a little more difficult to shrink all the way down to measurement. For those who have a look at what’s on the market as methods for doing issues like this, the recommendation is commonly to take an export of your knowledge, create the brand new occasion, and import the info into the occasion with an appropriately sized disk. Or be a bit sneaky, and arrange an exterior duplicate (which might have a smaller disk measurement than the first not like an everyday duplicate), then promote as soon as issues are all sync’d up.

There’s nothing improper with doing that. These strategies actually are the suitable methods to do that. However organising the infrastructure to do it proper on high of holding manufacturing techniques operating, in addition to all of them involving at the least some downtime, may be a cost-benefit evaluation that leads to simply leaving the disk alone and calling it adequate.

On the finish of the day, this course of is akin to a migration, from the present occasion that’s grown unnecessarily to a right-sized occasion. To make migrations a bit much less daunting, we’ve constructed Database Migration Service. Google’s managed migration service makes this good and easy. You simply must outline a connection profile for the Cloud SQL supply occasion you need to scale back the disk for, and DMS guides you thru creating the vacation spot occasion the place you’ll be able to specify the smaller disk.

DMS Connection Profile UI

There are some issues to consider which might make this a bit simpler. First, it’s essential to have your occasion ready for migration, which might, relying in your arrange, contain a restart of the database. For those who haven’t ever migrated a database, we’ve acquired a pair good weblog posts for MySQL and PostgreSQL.

Second, the IP tackle your utility makes use of goes to alter since you’ll must level on the new occasion as soon as it’s promoted. Now, one factor is that with DMS, while you arrange the migration, you’ll be able to set it up as a streaming migration. So no worries in regards to the export/import catch up that you just may usually must do. This can persist proper up till you promote the brand new occasion to be the first. This implies you’ll be able to take the time it’s essential to put together the applying and different tooling, in addition to testing the brand new occasion earlier than chopping over.

One solution to account for that’s which you can go away the goal occasion as a duplicate when you lower over all purposes. That method you’ve gotten protection by leaving each situations up whereas your purposes meet up with the brand new IP tackle. This leads to the least downtime, however there could also be problems relying on how the info within the database is being utilized by the purposes.

A great way to future proof this in the event you’re not doing it already, is have your utility use the Cloud SQL Auth Proxy.

Cloud SQL Auth Proxy Diagram

After all when you’ve got a longtime occasion this may end in downtime in addition to the logic must change within the utility to level at the place you’ve gotten the proxy operating (ideally on the identical machine as the applying) and also you’d have to chop over. The advantage of having it this manner is that repointing the applying includes the briefest of downtime when you shut down the proxy pointing on the previous occasion and restart it pointing on the new one.

Different methods of doing an identical factor could be issues like placing a load balancer or HTTP proxy in entrance of the occasion in order that your purposes all have a constant IP tackle to connect with, and that leaves you capable of swap across the databases behind it with out having to alter utility code and redeploy. Isolating infrastructure modifications out of your utility code. These could be as advanced or so simple as you want them to be. For instance, within the following diagram you see how a load balancer is paired with a excessive availability proxy to unfold out learn operations.

Load balancer plus HAProxy

For those who’re excited by diving down the rabbit gap on proxying in numerous methods to your Cloud SQL occasion, there’s a fantastic article right here to take a look at.

So there you’ve gotten it! When one thing goes awry, and it’s essential to reclaim some disk area on your Cloud SQL occasion I hope this put up helps. Thanks for studying! In case you have any suggestions or questions, please attain out to me on Twitter, my DMs are open!

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