How to increase the max connections in postgres? - postgresql

I am using Postgres DB for my product. While doing the batch insert using slick 3, I am getting an error message:
org.postgresql.util.PSQLException: FATAL: sorry, too many clients already.
My batch insert operation will be more than thousands of records.
Max connection for my postgres is 100.
How to increase the max connections?

Just increasing max_connections is bad idea. You need to increase shared_buffers and kernel.shmmax as well.
Considerations
max_connections determines the maximum number of concurrent connections to the database server. The default is typically 100 connections.
Before increasing your connection count you might need to scale up your deployment. But before that, you should consider whether you really need an increased connection limit.
Each PostgreSQL connection consumes RAM for managing the connection or the client using it. The more connections you have, the more RAM you will be using that could instead be used to run the database.
A well-written app typically doesn't need a large number of connections. If you have an app that does need a large number of connections then consider using a tool such as pg_bouncer which can pool connections for you. As each connection consumes RAM, you should be looking to minimize their use.
How to increase max connections
1. Increase max_connection and shared_buffers
in /var/lib/pgsql/{version_number}/data/postgresql.conf
change
max_connections = 100
shared_buffers = 24MB
to
max_connections = 300
shared_buffers = 80MB
The shared_buffers configuration parameter determines how much memory is dedicated to PostgreSQL to use for caching data.
If you have a system with 1GB or more of RAM, a reasonable starting
value for shared_buffers is 1/4 of the memory in your system.
it's unlikely you'll find using more than 40% of RAM to work better
than a smaller amount (like 25%)
Be aware that if your system or PostgreSQL build is 32-bit, it might
not be practical to set shared_buffers above 2 ~ 2.5GB.
Note that on Windows, large values for shared_buffers aren't as
effective, and you may find better results keeping it relatively low
and using the OS cache more instead. On Windows the useful range is
64MB to 512MB.
2. Change kernel.shmmax
You would need to increase kernel max segment size to be slightly larger
than the shared_buffers.
In file /etc/sysctl.conf set the parameter as shown below. It will take effect when postgresql reboots (The following line makes the kernel max to 96Mb)
kernel.shmmax=100663296
References
Postgres Max Connections And Shared Buffers
Tuning Your PostgreSQL Server

Adding to Winnie's great answer,
If anyone is not able to find the postgresql.conf file location in your setup, you can always ask the postgres itself.
SHOW config_file;
For me changing the max_connections alone made the trick.
EDIT: From #gies0r: In Ubuntu 18.04 it is at
/etc/postgresql/11/main/postgresql.conf

If your postgres instance is hosted by Amazon RDS, Amazon configures the max connections for you based on the amount of memory available.
Their documentation says you get 112 connections per 1 GB of memory (with a limit of 5000 connections no matter how much memory you have), but we found we started getting error messages closer to 80 connections in an instance with only 1 GB of memory. Increasing to 2 GB let us use 110 connections without a problem (and probably more, but that's the most we've tried so far.) We were able to increase the memory of an existing instance from 1 GB to 2 GB in just a few minutes pretty easily.
Here's the link to the relevant Amazon documentation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Limits.html#RDS_Limits.MaxConnections

change max_connections variable
in postgresql.conf file located in
/var/lib/pgsql/data or /usr/local/pgsql/data/

Locate postgresql.conf file by below command
locate postgresql.conf
Edit postgresql.conf file by below command
sudo nano /etc/postgresql/14/main/postgresql.conf
Change
max_connections = 100
shared_buffers = 24MB
to
max_connections = 300
shared_buffers = 80MB

Related

Handle more than 5000 connections without PGBouncer in PostgreSQL

We are using, PostgreSQL Version 14.
Our PC configuration at production
Windows 2016 Server
32 GB RAM
8 TB Hard disk
8 Core CPU
In my PostgreSQL.conf file
Shared_buffer 8 GB
Work_MEM 1 GB
Maintenance_work_mem 1 GB
Max_Connections 1000
I wish to handle 5000 connection at a time. Somebody suggest me to go with PGBouncer.
But we initially starts with PostgreSQL without PGBouncer.
I need to know, is my configuration is OK with the 5000 connection or we need to increase RAM or any other...
This is our first, PostgreSQL implementation. So Please suggest me to start with PostgreSQL with out PGBouncer.
Thank you
Note:
In SQL if we set -1, it will handle more number of connections. Like this is there any configuration is available in PostgreSQL

Increase Max connections in postgresql

My Server Config :
CPU - 16 core
RAM - 64 GB
Storage : 2 TB
OS : CentOs 64 Bit
I have DB and java application on the same server.
My postgres config file has the following:
max_connections = 9999
shared_buffers = 6GB
However, when i check DB via show max_connections it shows only 500.
How can i increase the max_connections value ?
Either you forgot to remove the comment (#) at the beginning of the postgresql.conf line, or you didn't restart PostgreSQL.
But a setting of 500 is already much too high, unless you have some 100 cores in the machine and an I/O system to match. Use a connection pool.

FATAL: out of memory +postgreSQL 9.6

We are facing FATAL: out of memory frequently in postgreSQL 9.6 database, we have 125 GB physical memory available on the DB Server and 8 GB has been allocated to shared_buffers.
Please provide inputs to tune any DB related parameters to avoid out of memory related issues.
Could be because of limitations on the postgres user.
Check the output of 'ulimit -a' from postgres.
Set to unlimited (at least for files/open files/max processes), if not already.

how to determine max_client_conn for pgbouncer

I'm sort of an "accidental dba" so apologies for a real noob question here. I'm using pgbouncer in pool_mode = transaction mode. Yesterday I started getting errors in my php log:
no more connections allowed (max_client_conn)
I had max_client_conn = 150 to match max_connections in my postgresql.conf.
So my first question is, should pgbouncer max_client_conn be set equal to postgresql max_connections, or am I totally misunderstanding that relationship?
I have 20 databases on a single postgres instance behind pgbouncer with the default default_pool_size = 20. So should max_client_conn be 400? (pool_size * number_of_databases)?
Thanks
https://pgbouncer.github.io/config.html
max_client_conn Maximum number of client connections allowed.
default_pool_size How many server connections to allow per user/database pair.
so max_client_conn should be way larger then postgres max_connections, otherwise why you use connection pooler at all?..
If you have 20 databases and set default_pool_size to 20, you will allow pgbouncer to open 400 connections to db, so you need to adjust posgtres.conf max_connections to 400 and set pgbouncer max_client_conn to smth like 4000 (to have average 10 connections in pool for each actual db connection)
This answer is only meant to provide an example for understanding the settings, not as a statement to literally follow. (eg I just saw a config with:
max_client_conn = 10000
default_pool_size = 100
max_db_connections = 100
max_user_connections = 100
for cluster with two databases and max_connections set to 100). Here the logic is different, also mind max_db_connections is set and in fact connection limits are set individually per database in pgbouncer [database] section.
So - play with small settings to get the idea of how config influence each other - this is "how to determine max_client_conn for pgbouncer" the best
Like almost everyone, then you are setting your pool size way to high. Don't let your postgresql server do the connection pooling. If you do then it severely hurts your performance.
The optimal setting for how many concurrent connection to postgresql is
connections = ((core_count * 2) + effective_spindle_count)
That means that if you are running your database on a 2 core server, then your total pool size from pgbouncer should be no more than 5. Pgbouncer is a lot better at handling pooling than postgresql, so let it do that.
So, leave the max_connections in my postgresql.conf to it's default 100 (no reason to change as it is a max. Also this should always be higher than what your application needs as some logging, admin and backup processes needs connections as well)
And in your pgbouncer.ini file set
max_db_connections=5
default_pool_size=5
max_client_conn=400
For more information https://www.percona.com/blog/2018/06/27/scaling-postgresql-with-pgbouncer-you-may-need-a-connection-pooler-sooner-than-you-expect/

Postgresql does not restart after changing max_connections or shared_buffers

I have tested pgtune on my postgres.config so I know what I can change there, but when I try to change max_connections or shared_buffers I can't restart postgres. I just get an error, but there is nothing in the log specifying the error. (Not sure where those logs go, but they are not in regular pg_log dir.)
My settings is:
shared_buffers = 24MB # (pgtune wizard 2013-04-11 = 120MB)
max_connections = 120 # (pgtune wizard 2013-04-11 = 200)
Im on a 512 linode which only runs postgresql. If I change shared_buffers beyond 24MB or max_connections beyond 120, I can't restart postgres.
I'm running on a Linode xen instance with Ubuntu 12.04.2 LTS:
Ubuntu 12.04.2 LTS (GNU/Linux 3.8.4-x86_64-linode31 x86_64)
Anyone know if postgres it self determine that 24MB and 120 connections is max for my system?
It sounds like you're probably exceeding a very low default limit for shared memory.
This is covered in the manual - see operating system resource limits. For Linux, see kernel.shmmax.
On a side-note, increasing max_connections is often the wrong answer. Most PostgreSQL instances will work best with a relatively small number of actively working connections. It's often best to use connection pooling to queue up work; you'll get better overall throughput with lower resource use. If your application doesn't have a connection pool built-in you can use PgBouncer as an external connection pool.