Our redis servers are, since yesterday, gradually (200MB/hour) using more memory, while the amount of keys (330K) and their data (132MB redis-rdb-tools) stay about the same.
Output of redis-cli info shows 6.89G used memory?!
redis_version:2.4.10
redis_git_sha1:00000000
redis_git_dirty:0
arch_bits:64
multiplexing_api:epoll
gcc_version:4.4.6
process_id:3437
uptime_in_seconds:296453
uptime_in_days:3
lru_clock:1905188
used_cpu_sys:8605.03
used_cpu_user:1480.46
used_cpu_sys_children:1035.93
used_cpu_user_children:3504.93
connected_clients:404
connected_slaves:0
client_longest_output_list:0
client_biggest_input_buf:0
blocked_clients:0
used_memory:7400076728
used_memory_human:6.89G
used_memory_rss:7186984960
used_memory_peak:7427443856
used_memory_peak_human:6.92G
mem_fragmentation_ratio:0.97
mem_allocator:jemalloc-2.2.5
loading:0
aof_enabled:0
changes_since_last_save:1672
bgsave_in_progress:0
last_save_time:1403172198
bgrewriteaof_in_progress:0
total_connections_received:3616
total_commands_processed:127741023
expired_keys:0
evicted_keys:0
keyspace_hits:18817574
keyspace_misses:8285349
pubsub_channels:0
pubsub_patterns:0
latest_fork_usec:1619791
vm_enabled:0
role:slave
master_host:***BLOCKED***
master_port:6379
master_link_status:up
master_last_io_seconds_ago:0
master_sync_in_progress:0
db0:keys=372995,expires=372995
db6:keys=68399,expires=68399
The problem started when we updated our (.net) client code from BookSleeve 1.1.0.4 to ServiceStack v3.9.71 to prepare for an upgrade to Redis 2.8. But a lot of other stuff was updated to And our session state store (also redis, but with harbour client) does not show the same symptoms.
Where is all that Redis memory going? How can I troubleshoot it's usage?
Edit: I just restarted this instance and memory returned to 350M and is now climbing again. The top 10 largest objects are still the same size, ranging from 100K to 25M for nr 1. The amount of keys has dropped to 270K (330K earlier).
To find a memory leak, look at how much RAM the system is using. The Resource Monitor in Windows can be used to accomplish this. In Windows 8.1 and Windows 10: To open the Run dialogue, press Windows+R, then type "resmon" and click OK.
If this limit is reached, Redis will start to reply with an error to write commands (but will continue to accept read-only commands). You can also configure Redis to evict keys when the max memory limit is reached. See the eviction policy docs for more information on this.
Here are some sources of "hidden" memory consumption in Redis:
Marc already mentioned the buffers maintained by the master to feed the slave. If a slave is lagging behind its master (because it runs on a slower box for instance), then some memory will be consumed on the master.
when long running commands are detected, Redis logs them in the SLOWLOG area, which takes some memory. You may want to use the SLOWLOG LEN command to check the number of records you have here.
communication buffers can also take memory. As far as I remember, with old versions of Redis (and 2.4 is quite old - you should really upgrade), it was unbounded, meaning that if you transfer a big object at a point, the communication buffer associated to this client connection will grow and never shrink. If there are many clients dealing occasionally with large objects, it could be a possible explanation. If you use commands retrieving very large data from Redis (in one shot), it can be an explanation as well. For instance, a simple KEYS * command applied on a Redis server storing millions of keys will consume a significant amount of memory.
You mentioned that you have objects as big as 25 MB. You have 404 client connections, if each of them needs to access such objects at a point in time, it will consume 10 GB of memory.
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