Handling «Disk Full» situations
Find out how to avoid, analyse and fix a Public Cloud Databases service reaching its full disk capacity
Find out how to avoid, analyse and fix a Public Cloud Databases service reaching its full disk capacity
Last updated January 23rd, 2023
No matter the database technology, when no more physical disk space is available the service operation degrades significantly. At the very least your databases cannot store any more data, but even logical read operations might start to get impacted, for example querying might slow down or fail.
This guide helps you understand how Public Cloud Databases services behave before and when reaching such conditions, and what you can do about it.
As part of using your Public Cloud Databases service efficiently, you should keep an eye on the service metrics. You can access those in the OVHcloud Control Panel or using the API. You can also make use of cross-service integrations to gather, observe and alert based on services metrics.
When your service storage begins to fill up and reaches a high mark, Public Cloud Databases sends you an email to warn you of the situation. The specific threshold depends on the engine, it may range from 75 to 90 percent.
When the disk usage increases even more and reaches a critical level (depending on the engine, ranging from 90 to 95 percent), you will receive another mail notification and the service will turn to a "disk full" mode, where it will start to refuse writes.
Different engines react in different ways, thus Public Cloud Databases services react differently when facing disk full conditions:
Redis
, Kafka MirrorMaker
, Grafana
, M3 Aggregator
and Kafka Connect
do not store any user data on disk. Thus they will not fill up the underlying disk storage.Kafka
, OpenSearch
, Cassandra
and M3DB
turn to read-only.MySQL
and PostgreSQL
turn to read-only with a way to temporarily revert to read-write.MongoDB
forbids writes but allows deletes.It may be that your usage simply requires more storage. You can then increase the provisioned storage, and / or upgrade to an offer with more storage.
Once the upgrade finishes, the service will detect that more storage is available and thus revert to normal mode.
It may be that you reached the full disk situation because of a runaway application filling up your database, or that you store some old obsolete data. In these cases, stop whatever process is unduly filling up your storage, then remove unwanted data.
You can reclaim disk space by deleting a Kafka
topic, an OpenSearch
index or an M3DB
namespace.
MongoDB
refuses any query that inserts data, but allows queries deleting data. You can thus execute any MongoDB
command that allows to reclaim disk space.
For these engines, call the respective API endpoint to temporarily allow write operations:
This will give you a 15 minutes time window to write again to your database. At the end of this window, either you were able to execute queries that reduce disk usage (e.g. DROPs, DELETEs), and thus your service changes to the read-write state, or disk usage stays too high and your service will return to the read-only state.
Be careful not to use that write window to continue to increase the disk usage; this might fill the underlying storage space completely. PostgreSQL
and MySQL
will not react well to such a situation and end up unrecoverabely out of order.
We would love to help answer questions and appreciate any feedback you may have.
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