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Re: Odoo/PostgreSQL optimization

by
Apertoso, Jos De Graeve
- 10/11/2017 16:58:10
Hello Maxime,


If you have a separate machine for the database, ensure that the RTT between the DB and ODOO machines, is less than 0.5 milliseconds.  I have quite good experience with a setup on two machines ( one DB, one odoo ), they have an average RTT of 0,150 ms.  Simply run a ping from your odoo machine to the DB machine to test this.

I agree with Nhomar that you shoud upgrade your postgresql.  Upgrade to 9.6, first thing.  Check that you are not running an old version of the python psycopg2 module ( iirc, v2.5+ is ok )

Make sure that you postgresql configuration is properly set.  The default memory parameters are set for low memory usage, not for high performance.
Check these parameters: work_mem - maintenance_work_mem - effective_cache_size - shared_buffers - temp_buffers

If possible, consider to upgrade the CPU.  For response times, the single-thread performance is still very important.

SSD or nvme disks are very good for DB performance.  I'm not a big fan of RAID controllers.

Check your database indexes:

With 300k products postgres trigram indexes might significantly speed up name searches: https://www.postgresql.org/docs/9.6/static/pgtrgm.html -  the drawback of these indexes is that they consume a lot of disk space :/

Depending on the number of users, i would increase the number of workers, and have them use less memory.  If you tell me that performance is better outside of office hours, this is something to check !!

Check if you have iowait on your DB server, this will tell you if your disks can't keep up.  Check the load average on the odoo server: if it is too low, add more workers.

Regards,


Jos De Graeve - Apertoso business ICT


Guido Gezellelaan 16 - B-9800 Deinze - Belgium
 
Phone: +32 9 381 64 50
Mobile: +32 475 54 68 80

2017-11-10 15:02 GMT+01:00 Michael Telahun <miket@clearict.com>:
Hi Maxime,

Others have already given excellent replies, but I wanted to note a
couple of small changes that can give you big rewards:
1. If you are seeing deterioration over time this says to me that
increasing number of records added to db are causing longer search/query
times. Try to determine what your longest running queries are and see if
adding indexes helps.

2. Look at network traffic. Specifically, does odoo and the db
communicate on their own network segment separate from all other
traffic? Are the users on the local network or do they work remotely?

3. What does top show? If your mem usage, load averages, cpu %, and io
wait times are not showing high loads don't worry about any OS
parameters or hardware. Look at Odoo  postgres.

Ok, that was actually 3 things, but I hope you find them useful.

Regards,
Mike.

On Fri, 2017-11-10 at 05:02 +0000, Maxime Chambreuil wrote:
> Hello,
> 
> 
> I have a customer with ~300k products and he has been running Odoo
> version 8 with PostgreSQL 8.3 for almost a year now.
> 
> 
> Performance is deteriorating with time and especially during office
> hours when employees are working.
> 
> 
> I would like your input to improve performance based on the info
> below. If you need more, please let me know.
> 
> 
> Odoo and PostgreSQL runs on 2 separate servers, each with 64GB of
> memory and 8 CPU.
> 
> 
> On PostgreSQL:
> 
> 
> # hdparm -t -T /dev/mapper/vg01-root
> 
> 
> /dev/mapper/vg01-root:
>  Timing cached reads:   16838 MB in  2.00 seconds = 8425.66 MB/sec
>  Timing buffered disk reads: 456 MB in  3.02 seconds = 151.16 MB/sec
> 
> 
> Kernel config of PostgreSQL:
> 
> 
> kernel.sched_migration_cost_ns = 5000000
> kernel.sched_autogroup_enabled = 0
> kernel.sem = 250 32000 100 128
> kernel.shmall = 4194304
> 
> kernel.shmmax = 17179869184
> 
> kernel.shmmni = 4096
> fs.file-max = 262140
> vm.vfs_cache_pressure = 50
> vm.min_free_kbytes = 65536
> net.core.rmem_default = 33554432
> net.core.rmem_max = 33554432
> net.core.wmem_default = 33554432
> net.core.wmem_max = 33554432
> net.ipv4.tcp_rmem = 10240 87380 33554432
> net.ipv4.tcp_wmem = 10240 87380 33554432
> net.ipv4.tcp_no_metrics_save = 1
> net.ipv4.tcp_window_scaling = 1
> net.ipv4.tcp_timestamps = 1
> net.ipv4.tcp_sack = 1
> net.core.netdev_max_backlog = 5000
> net.ipv4.tcp_mem = 786432 1048576 26777216
> net.ipv4.ip_local_port_range = 1024 65535
> net.ipv4.tcp_max_tw_buckets = 360000
> 
> 
> As the postgres user:
> 
> 
> $ ulimit -a
> core file size          (blocks, -c) 0
> data seg size           (kbytes, -d) unlimited
> scheduling priority             (-e) 0
> file size               (blocks, -f) unlimited
> pending signals                 (-i) 257588
> max locked memory       (kbytes, -l) 64
> max memory size         (kbytes, -m) unlimited
> open files                      (-n) 65535
> pipe size            (512 bytes, -p) 8
> POSIX message queues     (bytes, -q) 819200
> real-time priority              (-r) 0
> stack size              (kbytes, -s) 8192
> cpu time               (seconds, -t) unlimited
> max user processes              (-u) 257588
> virtual memory          (kbytes, -v) unlimited
> file locks                      (-x) unlimited
> 
> 
> odoo.conf extract
> 
> 
> limit_memory_soft = 2412592128
> limit_memory_hard = 4560075776
> 
> limit_time_cpu = 86400
> 
> limit_time_real = 172800
> 
> max_cron_threads = 1
> 
> proxy_mode = True
> workers = 6
> 
> 
> postgresql.conf is attached.
> 
> 
> During office hours, opening the product list (80 records) takes 5
> sec. Running sales report (product category by week) takes 20 sec. I
> never succeeded to get the inventory valuation report.
> 
> 
> Outside office hours, waiting time is divided by 2.
> 
> 
> If you have any suggestions, it would be very much appreciated.
> 
> 
> Thank you.
> 
> MAXIME CHAMBREUIL
> PROJECT MANAGER/CONSULTANT
> O: 1.855.877.2377 EXT. 710
> M: 602.427.5632
> E: MChambreuil@OpenSourcelntegrators.com
> 
> 
> 
> 
> 
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