I might be wrong but still asking this question. ;-)
So I am planning to use redis as a persistent storage(Primary Storage). I am having AOF enabled.I know redis will load this data during server start up. Let us say I have 10GB data and 5 GB ram, If I try to search for a key which is not loaded in RAM, will it check AOF and load that data to RAM by offloading any unused keys?
You cannot have less memory than data size in Redis. In your example Redis would run out of memory during start-up. You find more answers here: http://redis.io/topics/faq
Related
I want to understand when a cache is created with native persistence enabled, will it store the data in the defined data region/RAM and in the disk at the same time? Is there any way I can restrict the disk utilization for storing the data?
Additionally, in a cluster of 3 due to any reason the disk got full for one of the nodes and there is not enough memory available, what will be the impact on the cluster?
Yes, data will be stored both in RAM and on the disk. I does not have to fit in RAM at the same time.
If you run out of disk space, your persistent store will likely be corrupted.
I'm looking at Redis backed up rdb files for a web application. There are 4 such files (for 4 different redis servers working concurrently), sizes being: 13G + 1.6G + 66M + 14M = ~15G
However, these same 4 instances seem to be taking 43.8GB of memory (according to new relic). Why such a large discrepancy between how much space redis data takes up in mem vs disk? Could it be a misconfiguration and can the issue be helped?
I don't think there is any problem.
First of all, the data is stored in compressed format in rdb file so that the size is less than what it is in memory. How small the rdb file is depends on the type of data, but it can be around 20-80% of the memory used by redis
Another reason your memory usage could be more than the actual usage(you can compare the memory from new relic to the one obtained from redis-cli info memory command) is because of memory fragmentation. Whenever redis needs more memory, it will get the memory allocated from the OS, but will not release it easilyly(when the key expires or is deleted). This is not a big issue, as redis will ask for more memory only after using the extra memory that it has. You can also check the memory fragmentation using redis-cli info memory command.
Redis is a database in-memory but persistent on disk meanwhile.
Q1: So I wonder does this mean that when redis server starts, it will automatically load all the data on the disk into memory?
Q2: And when writing data to redis, will it both update in the memory and the disk?
Can anyone please help me answer my two questions?
Q1: So I wonder does this mean that when redis server starts, it will
automatically load all the data on the disk into memory?
Yes, depending on the configuration, Redis performs snapshots of memory to disk and, when Redis is restarted it can take latest snapshot and take it to memory again automatically.
Q2: And when writing data to redis, will it both update in the memory
and the disk?
Redis prioritizes writes on memory and writes to disk are done in a separate thread. The answer then is yes, it writes data to both memory and disk, but it might happen that a server failure may produce a data loss since it's not mandatory to Redis to persist data to disk.
Check official docs about persistence to learn more about the topic.
I am facing some scaling issues with my redis instances and was wondering if there's a way to configure redis to save data only to disk (and not hold it in memory). That way I could just increase disk space and not RAM.
Right now my instances are getting stuck and just hang when they reach the memory limit.
Thanks!
No - Redis, atm, is an in-memory database. That means that all data that it manages resides first and foremost in RAM.
Based on the
http://redis.io/topics/faq
Redis is an in-memory but persistent on disk database.
So may I know redis save key/value in memory or in disk? or both?
When writing value in Redis, it write into memory and disk at the same time?
Thanks for the concept.
depending on how you configure it, redis can periodically back up the existing state to disk, but otherwise, everything is in memory.
Redis will atomically snapshot its memory state to disk if so configured. See this part of the docs for more info:
http://redis.io/topics/persistence
So you can have different levels of durability. For the most part, when you get a key, it is out of memory and when you set a key it is also in memory. The data is written to disk independently of read/write operations.