redis 2.8 how to free up "human peak" memory - redis

because something unexpected accidents redis memory has increased up a lot , and we delete the unused keys a lot , but the memory does not release, is there a way to manually release it, except restart of redis.
redis info
# Memory
used_memory:14166381000
used_memory_human:13.19G
used_memory_rss:41278218240
used_memory_peak:50044293760
used_memory_peak_human:46.61G
used_memory_lua:31744
mem_fragmentation_ratio:2.91
mem_allocator:jemalloc-3.2.0
nmon t
│ Top Processes Procs=288 mode=3 (1=Basic, 3=Perf 4=Size 5=I/O)──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────│
│ PID %CPU Size Res Res Res Res Shared Faults Command │
│ Used KB Set Text Data Lib KB Min Maj │
│ 1732 15.9 58932952 40309580 756 58921404 0 944 9 0 redis-server
free -m
total used free shared buffers cached
Mem: 64378 61914 2464 0 11 22
-/+ buffers/cache: 61879 2498
Swap: 32255 16710 15545

According to antirez https://groups.google.com/forum/#!topic/redis-db/ibhYDLT_n68 (1st answer) Redis would always use used_memory_peak as a reference to how much memory it might need (and how much memory it wants allocated).
If you really need to free that memory with zero downtime — you can setup a slave, make it read-write CONFIG SET slave-read-only no reroute your application traffic to the slave and restart the master. Or just continue using the slave (by making it master SLAVEOF NO ONE)

Related

Apache Intermittant Hang is it Network Lag?

I have an intermittent lag on the web applications I am serving from Apache on a Debian box. Apache and MySQL check out. I am far from fully utilizing the box CPU/Memory. Still there is an intermittent lag. My theory is there is a network rate limit needing to be tweaked. Stats below.
Apache Server Status
Current Time: Tuesday, 02-Jun-2020 14:36:53 EDT
Restart Time: Monday, 01-Jun-2020 01:00:03 EDT
Parent Server Config. Generation: 1
Parent Server MPM Generation: 0
Server uptime: 1 day 13 hours 36 minutes 50 seconds
Server load: 2.95 3.23 3.09
Total accesses: 1213060 - Total Traffic: 22.0 GB - Total Duration: 32311929295
CPU Usage: u396.94 s164.31 cu2065.15 cs789.27 - 2.52% CPU load
8.96 requests/sec - 170.5 kB/second - 19.0 kB/request - 26636.7 ms/request
296 requests currently being processed, 66 idle workers
WR.WWWW.KWW_W._W_KWWWWWWKWWWWW_WWWWK_WK_WWW_WW_RWWWWWKCWWWWWW._W
_WW_R_W_.__K_WWWW__WWWWWWKKWWWWWWKWWWW_W____WWWWWWWW_WWW_KWWWWWW
WWWWWWWW_.WWWWWK_WWW_WWKWWWWWWKWWKWK_WWWWWRKWWW.WW_KKWKWWWKW_WWW
WW.W_.K._WWWK_WW_K_K._WW..WWWWWWW_.W_WWWW_W_W.W_WWWW_.WWKWK_WKWW
_W_WWWW_W.WWWWWW.WWWW_K__..W.WW_WWWWWWWWKRW_WWW_C.W_KW_WWW_KW.._
..WWWWWWWCWWW.WWW_WKKWWWW_._WWW.....WWW.W_W.W._.KW...W...WWW.WWW
W..W..K..WW_.W._................W..._W.W.....K.W.K_...R..K...W.W
...W..W.............................................
top
top - 14:31:14 up 79 days, 21:39, 3 users, load average: 2.26, 2.57, 2.86
Tasks: 717 total, 1 running, 716 sleeping, 0 stopped, 0 zombie
%Cpu(s): 3.3 us, 0.7 sy, 0.2 ni, 95.7 id, 0.0 wa, 0.0 hi, 0.1 si, 0.0 st
MiB Mem : 64365.1 total, 539.8 free, 8847.0 used, 54978.4 buff/cache
MiB Swap: 65477.0 total, 63810.0 free, 1667.0 used. 54580.5 avail Mem
ss -s
Total: 1934
TCP: 2362 (estab 1233, closed 1105, orphaned 2, timewait 1104)
Transport Total IP IPv6
RAW 0 0 0
UDP 0 0 0
TCP 1257 430 827
INET 1257 430 827
FRAG 0 0 0
ulimit -n
1024
ss -ntu | awk '{print $5}' | cut -d: -f1 | sort | uniq -c | sort -n
1 Local
6 192.XXX.XXX.XXX
100 127.0.0.1
340 10.0.0.XX
866 [
ss -ntu | awk '{print $6}' | cut -d: -f1 | sort | uniq -c | sort -n
..........
lists # of ip connections. Besides 127.0.0.1 and [ there are 2 ips over 50.
74 104.xxx.xxx.xxx
91 12.xxx.xxx.xxx
MySQL
No processes running more than a second. Number of processes well within limits.
I do not know what stats would be relevant beyond these in diagnosing network rate limiting issues. Any pointers would be appreciated.
EDITED
CPU
lscpu https://pastebin.com/Jha6F7J8
Apache Config
apachectl -t -D DUMP_RUN_CFG https://pastebin.com/i1L2hnjH
Mysql
SHOW GLOBAL STATUS https://pastebin.com/aQX4D01k
SHOW GLOBAL VARIABLES https://pastebin.com/L8EfmHfn
SHOW FULL PROCESSLIST https://pastebin.com/GtqK2tET
mysqltuner https://pastebin.com/GLhhKA9q
Optional Very Helpful Information
top -bn1 https://pastebin.com/r94vpXe6
iostat -xm 5 3 https://pastebin.com/R8YLK3QU
ulimit -a https://pastebin.com/KUC3wqxU
Dorothy, Your system is very busy with activity. Not knowing the frequency and duration of the intermittent hangs puts us at a disadvantage. One possible cause is com_drop_table had 3,318 uses in your 83 days of uptime. Another possible cause is volume of data read and written. It appears innodb_data_written was 484TB in 83 days and yet MySQLTuner reports only 800K of data in 10 tables. Our General Log Analysis could likely identify the cause of this high activity. These suggestions will be a starting effort, more analysis and changes should be accomplished.
From your OS command prompt,
ulimit -n 96000 would enable many more Open Files (handles) above today's 1024 limit.
This is a dynamic operation in Linux and does not require OS restart to be implemented.
For this change to persist across OS stop/start the following URL could be used as a guide.
Please use 96000, not 500000 - as in their example documentation.
https://glassonionblog.wordpress.com/2013/01/27/increase-ulimit-and-file-descriptors-limit/
Rate Per Second = RPS
Suggestions to consider for your my.cnf [mysqld] section
innodb_io_capacity=1900 # from 200 if you have SSD, 900 if you have magnetic storage to improve IOPS
net_buffer_length=32K # from 16K to reduce malloc operations
innodb_lru_scan_depth=100 # from 1024 to conserve 90% of CPU cycles used for function
key_cache_segments=16 # from 0 to reduce mutex contention with MyISAM opens
key_cache_division_limit=50 # from 100 for Hot/Warm storage to reduce key_page_reads RPS of 18
aria_pagecache_division_limit=50 # from 100 for Hot/Warm storage to reduce aria_pagecache_reads RPS of 5K
read_rnd_buffer_size=64K # from 256K to reduce handler_read_rnd_next RPS of 27,707
These changes should reduce elapsed time to complete most queries.
Additional areas to consider include the use of Slow Query Log analysis to find where an index could avoid a table scan. MySQLTuner reported more than 4 million joins performed without indexes. Our FAQ page includes information on how you could find the tables needing indexes to avoid scans. Let us know how these suggestions work for you.
Skype Talk works very well if you have the flexibility to use that form of communication.

ZFS: Unable to expand pool after increasing disk size in vmware

I have a Centos7 VM with ZFS on linux installed.
The VM has a disk /dev/sdb, that I've added to a pool named 'backup', and in this pool created a dataset.
Now, I wanted to increase the size of the disk in VMware, and then expand the size of the pool, but I'm not getting this to work.
I've tried 'zpool online -e backup sdb', but nothing changes.
I've tried running 'partprobe /dev/sdb' before and after the live above, but nothing changes.
I've tried rebooting + the above, nothing changes.
I've tried "parted /dev/sdb",resizing the partition (it suggests the actual new size of the volume), and then all of the above. But nothing changes
I've tried 'zpool export backup' + 'zpool import backup' in various combinations with all of the above. No luck
And also: 'lsblk' and 'df -h' reports the old/wrong size of /dev/sdb, even if parted seems to understand that it has been increased.
PS: autoexpand=on
What to do?
I faced a similar issue today and had to try a lot before finding the solution.
When I tried the known solutions (using zpool) of setting autoexpand as on and also restarting the partprobe, system would not auto expand (even after a restart).
Finally, I could solve it using parted instead of getting into zpool at all.
We need to be careful here since wrong partition selections can cause data loss.
What worked for me in your situation
Step 1: Find which pool you are trying to expand. In my case, it is 5 as seen below (unallocated space is after this pool). Use parted -l
parted -l
Output
Model: VMware, VMware Virtual S (scsi)
Disk /dev/sda: 69.8GB
Sector size (logical/physical): 512B/512B
Partition Table: gpt
Disk Flags:
Number Start End Size File system Name Flags
1 1049kB 2097kB 1049kB bios_grub
2 2097kB 540MB 538MB fat32 EFI System Partition boot, esp
3 540MB 2009MB 1469MB swap
4 2009MB 3592MB 1583MB zfs
5 3592MB 32.2GB 28.6GB zfs
Step 2: Instructing explictly to expany pool number 5 to 100% available. Note that '5' is not static. You need to use the pool id you wish to expand. Double-check this. Use parted /dev/XXX resizepart YY 100%
parted /dev/sda resizepart 5 100%
After this, I was able to use the entire space in VM.
For reference:
LSBSK Before
sda 8:0 0 65G 0 disk
├─sda1 8:1 0 1M 0 part
├─sda2 8:2 0 513M 0 part /boot/grub
│ /boot/efi
├─sda3 8:3 0 1.4G 0 part
│ └─cryptoswap 253:1 0 1.4G 0 crypt [SWAP]
├─sda4 8:4 0 1.5G 0 part
└─sda5 8:5 0 29.5G 0 part
LSBSK After
sda 8:0 0 65G 0 disk
├─sda1 8:1 0 1M 0 part
├─sda2 8:2 0 513M 0 part /boot/grub
│ /boot/efi
├─sda3 8:3 0 1.4G 0 part
│ └─cryptoswap 253:1 0 1.4G 0 crypt [SWAP]
├─sda4 8:4 0 1.5G 0 part
└─sda5 8:5 0 61.7G 0 part

Diagnosing unexpected redis-server failure

One of my redis servers is repeatedly going down today without any overt, diagnosable cause. My users all end up getting Error 111 connecting to unix socket: /var/run/redis/redis2.sock. Connection refused errors.
Looking into the logs at /var/log/redis, the last few lines capture nothing more nefarious than a scheduled backup:
[8248] 09 Mar 07:48:17.090 * 10 changes in 21600 seconds. Saving...
[8248] 09 Mar 07:48:17.374 * Background saving started by pid 47613
[47613] 09 Mar 07:51:02.257 * DB saved on disk
[47613] 09 Mar 07:51:02.486 * RDB: 526 MB of memory used by copy-on-write
[8248] 09 Mar 07:51:02.920 * Background saving terminated with success
The pid file still exists too. Which implies the server wasn't formally shut down, and redis was still daemonized?
I logged into my system and did sudo service redis-server restart twice to get it up and running. Apart from these logs, how else can I diagnose what might have gone wrong?
Update: I noticed that at the time of the first crash, disk swapping started taking place. This hasn't happened before. Moreover, cat /proc/sys/vm/swappiness confirms swappiness is set to 2.
free -m shows (after normal operation):
total used free shared buffers cached
Mem: 28136 27015 1120 305 80 6586
-/+ buffers/cache: 20349 7787
Swap: 1023 991 32
free -m shows (after the redis server goes down):
total used free shared buffers cached
Mem: 28136 8770 19365 305 60 441
-/+ buffers/cache: 8268 19868
Swap: 1023 1022 1
This sounds like the work of the OS' OOM killer - you can verify/discredit the hypothesis by reviewing the /var/log/syslog.
In this case, the persistence job's overhead triggered the killer. You need to provision for that by setting maxmemory and allocating enough RAM to accommodate persistence's requirements, including COW.
Note that free isn't useful after the fact - you need to monitor your resources continuously.
As for swap, if you don't care about latency then you can certainly do that.

What could cause Redis RDB Snapshoting to Stall?

I have a redis install on Ubuntu 14.04, and I seem to have nearly weekly issues with RDB snapshots completing. Redis version is 3.0.4 64 bit.
3838:M 24 Feb 09:46:28.826 * Background saving terminated with success
3838:M 24 Feb 09:47:29.088 * 100000 changes in 60 seconds. Saving...
3838:M 24 Feb 09:47:29.230 * Background saving started by pid 17281 17281:signal-handler (1456338079) Received SIGTERM scheduling shutdown...
3838:M 24 Feb 13:24:19.358 # Background saving terminated by signal 9
3838:M 24 Feb 13:24:19.622 * 10 changes in 900 seconds. Saving...
3838:M 24 Feb 13:24:19.730 * Background saving started by pid 17477
What you see there is that at 9:47am the background save started, but when I found it at 1:24pm it appeared to be completely stalled. I found the forked process to have basically no activity - the amount of memory it was consuming wasn't increasing. I tried to "kill" the child process, but it never actually quit, so i had to kill it with extreme prejudice (-9).
When things are getting bad, I get the following errors in my app:
2016-02-24 13:11:12,046 [2344] ERROR kCollectors.Main - Error while adding to Redis: No connection is available to service this operation: SADD ALLCH
My redis config is to do rdb snapshots only (no AOF). The load is modification heavy, with thousands of writes per second.
Currently I'm at the point where no redis background save is succeeding, and the background process becomes so much larger than the regular process that my VM starts swapping. Here's my TOP. 3838 is my redis instance, and 17477 is the background save process (as noted above):
top - 14:06:42 up 118 days, 2:05, 1 user, load average: 1.07, 1.07, 1.13
Tasks: 81 total, 3 running, 78 sleeping, 0 stopped, 0 zombie
%Cpu(s): 0.8 us, 1.5 sy, 0.0 ni, 45.8 id, 51.3 wa, 0.0 hi,
0.5 si, 0.0 st
KiB Mem: 8176996 total, 8036792 used, 140204 free, 120 buffers
KiB Swap: 6289404 total, 3968236 used, 2321168 free. 4044 cached Mem
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
36 root 20 0 0 0 0 S 2.3 0.0
288:05.05 kswapd0
3838 rrr 20 0 7791836 3.734g 612 S 2.0
47.9 330:08.65 redis-server
17477 rrr 20 0 7792228 6.606g 364 D 1.0 84.7 0:43.49 redis-server
This is very interesting since I don't remember to ever read of such issues, so to discover the root cause could be very useful.
So here you are reporting a child process that stays a long time active, and even continues to allocate memory. I've no explanation for this if not a data corruption in the process memory, causing the RDB process to find unexpected conditions and looping forever in some way.
A few questions:
Does this happen even if you restart the process? (However please DON'T DO IT if you can avoid restarting and you did not restated yet, otherwise we may no longer understand the root cause).
While the RDB saving is active, do you see the CPU usage to be high and the process running with ps/top?
Could you try to interrupt the process with gdb -p <pid> and obtain a stack trace of the process?
Could you provide Redis INFO output to check version and other configuration things and state?
Could you check free output while this happens?
TLDR: is it possible the system is out of memory and is swapping a lot? So the child process while saving the RDB file visited all the pages and forced everything to be in the Resident Set. The system can't cope with so much I/O so it takes ages to complete the RDB saving.
EDIT: I just noticed you reported memory info:
KiB Mem: 8176996 total, 8036792 used, 140204 free, 120 buffers
So the system is out of memory and is swapping like crazy, and this results in the above behavior. As RDB saving starts, COW will use a lot of additional memory pushing the server on the memory limits.
Thanks.

redis config question?

I am using redis for caching but recently I ran into a problem with the amount of memory used - had to restart my server since all ram had been consumed.
It's not the biggest machine but how should I configure redis to avoid the same problem again?
free -m
total used free shared buffers cached
Mem: 240 222 17 0 6 38
-/+ buffers/cache: 177 62
Swap: 255 46 209
I have changed the following settings:
timeout 60
databases 1
save 300 1
save 60 100
maxmemory 104857600
top
top - 14:15:28 up 1:19, 1 user, load average: 0.00, 0.00, 0.00
Tasks: 49 total, 1 running, 48 sleeping, 0 stopped, 0 zombie
Cpu(s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st
Mem: 245956k total, 228420k used, 17536k free, 6916k buffers
Swap: 262136k total, 47628k used, 214508k free, 39540k cached
you can use the "maxmemory" directive in the config file: when this amount of memory is exceeded then Redis will expire earlier keys having already an expire set (the keys that would expire sooner are the first that will be removed).
Unlike memcached, redis is supposed to be a databse; so it won't automatically remove old values to make room for new ones.
You have to explicitly set the expire time for each key/value, and even then you could overflow if you create key/values faster than that.
Use Redis virtual memory in Redis 2.0:
http://antirez.com/post/redis-virtual-memory-story.html