Database Persistence with Redis Enterprise Software
All data is stored and managed exclusively in either RAM or RAM + Flash Memory (Redis on Flash) and therefore, is at risk of being lost upon a process or server failure. As Redis Enterprise Software is not just a caching solution, but also a full-fledged database, persistence to disk is critical. Therefore, Redis Enterprise Software supports persisting data to disk on a per-database basis and in multiple ways.
There are two options for persistence:
- Append Only File (AOF) - A continuous writing of data to disk
- Snapshot (RDB) - An automatic periodic snapshot writing to disk
Data persistence, via either mechanism, is used solely to rehydrate the database if the database process fails for any reason. It is not a replacement for backups, but something you do in addition to backups. To disable data persistence, select None.
AOF writes the latest ‘write’ commands into a file every second, it resembles a traditional RDBMS’s redo log, if you are familiar with that. This file can later be ‘replayed’ in order to recover from a crash.
A snapshot (RDB) on the other hand, is performed every one, six, or twelve hours. The snapshot is a dump of the data and while there is a potential of losing up to one hour of data, it is dramatically faster to recover from a snapshot compared to AOF recovery.
Persistence can be configured either at time of database creation or by editing an existing database’s configuration. While the persistence model can be changed dynamically, just know that it can take time for your database to switch from one persistence model to the other. It depends on what you are switching from and to, but also on the size of your database.
Options for configuring data persistence
There are six options for persistence in Redis Enterprise Software:
|None||Data is not persisted to disk at all.|
|Append Only File (AoF) on every write||Data is fsynced to disk with every write.|
|Append Only File (AoF) one second||Data is fsynced to disk every second.|
|Snapshot every 1 hour||A snapshot of the database is created every hour.|
|Snapshot every 6 hours||A snapshot of the database is created every 6 hours.|
|Snapshot every 12 hours||A snapshot of the database is created every 12 hours.|
The first thing you need to do is determine if you even need persistence. Persistence is used to recover from a catastrophic failure, so make sure that you need to incur the overhead of persistence before you select it. If the database is being used as a cache, then you may not need persistence. If you do need persistence, then you need to identify which is the best type for your use case.
Append only file (AOF) vs snapshot (RDB)
Now that you know the available options, to assist in making a decision on which option is right for your use case, here is a table about the two:
|Append Only File (AOF)||Snapshot (RDB)|
|More resource intensive||Less resource intensive|
|Provides better durability (recover the latest point in time)||Less durable|
|Slower time to recover (Larger files)||Faster recovery time|
|More disk space required (files tend to grow large and require compaction)||Requires less resource (I/O once every several hours and no compaction required)|
Data persistence and Redis on Flash
If you are enabling data persistence for databases running on Redis Enterprise Flash, by default both master and slave shards are configured to write to disk. This is unlike a standard Redis Enterprise Software database where only the slave shards persist to disk. This master and slave dual data persistence with replication is done to better protect the database against node failures. Flash-based databases are expected to hold larger datasets and repair times for shards can be longer under node failures. Having dual-persistence provides better protection against failures under these longer repair times.
However, the dual data persistence with replication adds some processor and network overhead, especially in the case of cloud configurations with persistent storage that is network attached (e.g. EBS-backed volumes in AWS).
There may be times where performance is critical for your use case and you don’t want to risk data persistence adding latency. If that is the case, you can disable data-persistence on the master shards using the following rladmin command:
rladmin tune db <database_ID_or_name> master_persistence disabled