I have a Redis server with maxmemory 512MB and maxmemory-policy allkeys-lru but once the server has filled up after a day of usage, I can't add any more items:
redis 127.0.0.1:6379[3]> set foooo 123
(error) OOM command not allowed when used memory > 'maxmemory'.
IMHO that never should happen with the LRU policy.
I copied some server info to this Pasebin: http://pastebin.com/qkax4C7A
How can I solve this problem?
Note: I'm trying to use maxmemory because my Redis server is continously eating up memory even though nearly all keys have an expire setting and because FLUSHDB does not release system memory - perhaps this is related..
In the end I'm trying to use Redis as a cache.
Your info output suggests that a lot of your server's memory is taken by Lua scripts:
used_memory_lua:625938432
Note that Lua scripts remain in memory until the server is restarted or SCRIPT FLUSH is called. It would appear as if you're generating Lua scripts on the fly...
Related
I install Redis Server in Ec2 instance and type is STANDALONE. Storage of my redis is more than 6Million Keys.After crossing this storage server is down frequently twice a day why how to overcome this Issue ?
Thank you in advance for your help!
it's quite possible that you are running out of memory and the OOM is killing the process.
Try setting the memory limit
config set maxmemory <80% of your instance memory size>
and check your eviction policy so you know how to handle memory being full
We observered a sporadic issue (once in every month or 2) in our redis. Suddenly we see that redis read/write calls from our application returns a failure. At that point we are still able to connect to redis from redis-cli and doing a FLUSHALL resolves the issue.
Has anyone encountered this kind of issue. Our redis version is 4.0.9. Since we are not observing any issue in connecting to redis, we are not suspecting issue with Jedis Client.
What kind of redis calls? Something that writes the data or reads the data?
All in all, just as an idea, examine your redis.conf file
It has Maxmemory configuration directive, and when redis reaches max memory limit it acts according to eviction policy.
If the policy is set to 'noeviction', the behavior sounds like what you've described (from their documentation):
return errors when the memory limit was reached and the client is trying to execute commands that could result in more memory to be used (most write commands, but DEL and a few more exceptions).
You can configure redis as a cache so that it will delete some entries by itself.
Read about this here
Recently, I started to have some trouble with one of me Redis cluster. used_memroy and used_memory_rss increasing constantly.
According to some Googling, I found following discussion:
https://github.com/antirez/redis/issues/4570
Now I am wandering if it is safe to run SCRIPT FLUSH command on my production Redis cluster?
Yes - you can run the SCRIPT FLUSH command safely in a production cluster. The only potential side effect is blocking the server while it executes. Note, however, that you'll want to call it in each of your nodes.
We have a redis configuration with two redis servers. We also have 3 sentinels to monitor the two instances and initiate a fail over when needed.
We currently have a process where we periodically have to do a FLUSHALL on the redis server. This is a blocking operation that takes longer than the time we have allotted for the sentinels to timeout. In other words, we have our sentinel configuration with:
sentinel down-after-milliseconds OurMasterName 5000
and doing a redis-cli FLUSHALL on the server takes > 5000 milliseconds, so the sentinels initiate a fail over.
We acknowledge that doing a FLUSHALL isn't great and we also know that we could increase the down-after-milliseconds to but for the purposes of this question assume that neither of these are options.
The question is: how can we do a FLUSHALL (or equivalent operation) WITHOUT having our sentinels initiate a fail over due to the FLUSHALL blocking for greater than 5000 milliseconds? Has anyone encountered and solved this problem?
You could just create new instances: if you are using something like AWS or Azure than you have API for creating a new Redis cluster. Start it, load it with data and once ready just modify the DNS, again with API call -so all these can be handled by some part of your application. But on premises things can get more complex because it will require some automation with ansible/chef/puppet.
The next best option you currently have to is to delete keys in batches to reduce the amout of work to at once. You can build a list, assuming you don't have one, using scan Then delete in whatever batch size works for you.
Edit: as you are not interested in keeping data, disable persistence, delete the RDB file, then just restart the instance. This way you do t have to update sentinel like you would if you take the provision new hosts.
Out of curiosity, if you're just going to be flushing all the time and don't care about the data as you'll be wiping it, why bother with sentinel?
Is it a good practice to run redis in production with Supervisor?
I've googled around, but haven't seen many examples of doing so. If not, what is the proper way of running redis in production?
I personally just use Monit on Redis in production. If Redis crash Monit will restart it but more importantly Monit will be able to monitor (and alert when a threeshold is reach) the amount of RAM that Redis currently takes (which is the biggest issue)
Configuration could be something like this (if maxmemory was set to 1Gb in Redis)
check process redis
with pidfile /var/run/redis.pid
start program = "/etc/init.d/redis-server start"
stop program = "/etc/init.d/redis-server stop"
if 10 restarts within 10 cycles
then timeout
if failed host 127.0.0.1 port 6379 then restart
if memory is greater than 1GB for 2 cycles then alert
Well..it depends. If I were do use redis under daemon control I would use runit. I do use monit but only for monitoring. I like to see the green light.
However, for redis to exploit the true power, you dont run redis as a deamon esp a master. If a master goes down, you will have to switch a slave to a master. Quit simply, I just shoot the node in the head and I have a chef recipe bring up a new node.
But then again....it also depends on how often you snapshot. I do not snapshot thus no need for deamon control.
People use reids for brute force speed. that means not writing to disk and keep all data in ram. If a node goes down...and you dont snapshot...data is lost.