The problem
One of my Python Redis clients fails with the following exception:
redis.exceptions.ResponseError: MISCONF Redis is configured to save RDB snapshots, but is currently not able to persist on disk. Commands that may modify the data set are disabled. Please check Redis logs for details about the error.
I have checked the redis machine, and it seems to be out of memory:
free
total used free shared buffers cached
Mem: 3952 3656 295 0 1 9
-/+ buffers/cache: 3645 306
Swap: 0 0 0
top
top - 15:35:03 up 14:09, 1 user, load average: 0.06, 0.17, 0.16
Tasks: 114 total, 2 running, 112 sleeping, 0 stopped, 0 zombie
%Cpu(s): 0.2 us, 0.3 sy, 0.0 ni, 99.3 id, 0.0 wa, 0.0 hi, 0.0 si, 0.2 st
KiB Mem: 4046852 total, 3746772 used, 300080 free, 1668 buffers
KiB Swap: 0 total, 0 used, 0 free. 11364 cached Mem
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
1102 root 20 0 3678836 3.485g 736 S 1.3 90.3 10:12.53 redis-server
1332 ubuntu 20 0 41196 3096 972 S 0.0 0.1 0:00.12 zsh
676 root 20 0 10216 2292 0 S 0.0 0.1 0:00.03 dhclient
850 syslog 20 0 255836 2288 124 S 0.0 0.1 0:00.39 rsyslogd
I am using a few dozens Redis DBs in a single Redis instance. Each DB is denoted by numeric ids given to redis-cli
, e.g.:
$ redis-cli -n 80
127.0.0.1:6379[80]>
How do I know how much memory does each DB consume, and what are the largest keys in each DB?