![]() So clearly, my_user1 doesn't have permissions to create a super-user. When I repeat the command without the -s flag, it works: $ createuser -P -d -e my_user2 -host -U my_user1ĬREATE ROLE my_user2 PASSWORD 'md5999999c0101a1d64afd57575e06f888c' NOSUPERUSER CREATEDB NOCREATEROLE INHERIT LOGIN ![]() But it fails: $ createuser -P -d -s -e my_user2 -host -U my_user1ĬREATE ROLE my_user2 PASSWORD 'md5999999c0101a1d64afd57575e06f999c' SUPERUSER CREATEDB CREATEROLE INHERIT LOGIN Ĭreateuser: creation of new role failed: ERROR: must be superuser to create superusers Now I'm attempting to create a role and a super-user. When I created the RDS instance, I told it the DB root's username was: my_user1 and the password was password1. Here you can see all the connections, queries and last activity time for each connection, so it should be easy to see if there are any hanging connections.I have an AWS EC2 instance connecting to an RDS instance (Postgresql). ![]() | 2015 - 09 - 22 17: 07: 18 | 2015 - 09 - 22 17: 07: 18 | f | idle |. When you create a DB instance, the master user system account that you create is assigned to the rdssuperuser role. | query_start | state_change | waiting | state |. Template1 => select * from pg_stat_activity ĭatid | datname |. To actually make sure that everything is OK with connections handling, run the following query: Each instance runs a flask application with several threads, so they can easily consume around 20 connections. In my case the higher connection consumption was not something unexpected, the Elastic Beanstalk scaled the application to 6 EC2 instances under load. So I decided to change the instance type to db.t2.small, it costs twice more, but it has 2GB RAM and default max_connections value is 60. (so I thought that I can do the same things that I used to do with superuser on a regular postgres server). When I logged in to the instance, I saw my created user 'jack', and that he had a role 'rdssuperuser' attached. ![]() Amazon RDS for PostgreSQL currently supports PostgreSQL 9.6, 10, 11, 12, 13, 14, and 15. I just created a new postgres RDS instace on aws (through the dashboard), and I gave it a default user, lets call him 'jack'. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. once done - go to the db instance settings (Modify action) and set the new parameter group.īut for me it seems to be dangerous solution to use in production, because more connections will consume more memory and instead of connection limit errors you can end up with out of memory errors. Amazon RDS for PostgreSQL gives you access to the capabilities of the familiar PostgreSQL database engine.using the default group as parent and then edit the max_connection value.The default value can be changed this way: The db.t1.micro instance has 1GB memory, and calculation like 1024*1024*1024/31457280 gives around 36, while actually it is 26. The max_connection setting can also be found in the RDS UI, under “Parameter Groups”, but the value there is set as, so it is complex to be sure about the actual value. That means we used 25 connections (22 + 3 reserved) out of 26. PGSync version: 1.1.1 Postgres version: 11.2-R1 (AWS RDS Managed) Elasticsearch version: 7.4 Redis version: 6.0.4 Python version: 3.7.6 Problem Description. So we have 26 max connections and, as stated in comments (thanks, Johannes Schickling), there are also 3 connections reserved to superuser.
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