
- #Pgbouncer docker how to
- #Pgbouncer docker install
- #Pgbouncer docker update
You can read more about this on why to use docker.
When a new team member joins, the new member can get started in hours, it does not take days to be productive. Generally with docker if it runs on your machine it will run for your friend, on a staging environment and production environment given the version compatibility is maintained. Using multiple versions of PostgreSQL as per project or any other need is very easy. There are many good reasons to use any database like Postgres with Docker for local development, below are some good reasons: Why use Postgres with docker for local development # Adding Postgres with Docker to an existing Node.js project. Why use Postgres with docker for local development. #Pgbouncer docker how to
In this post, we will look into how to run and use Postgres with Docker and Docker compose step-by-step keeping things simple and easy. Running Postgres with Docker and docker-compose makes it very easy to run and maintain especially in a development environment. This official feature matrix shows the wealth of features Postgres has. Postgres (a.k.a PostgreSQL) is an open-source, standards-compliant, and object-relational database been developed for more than 30 years now. I had to use transaction mode with prepared_statement option disabled.Docker has shot up in popularity over the years.Without the right pool/thread size, Rails will throw ActiveRecord::ConnectionTimeoutError error.Both Rails and PgBouncer has an option to disconnect idle connections.
PgBouncer will increase the connections after I ran the benchmark couple of times, but never reached the max. Without PgBouncer, Rails will immediately open all possible connections. Opening rails console won't immediately open a connection. These are some the notes based on my observations: So, we need a total of 10 + 40 = 50 connections.Īgain, we need to ensure proper DB pool size is set. DB pool should be set to 20 in this case. bundle exec sidekiq -C config/sidekiq/data.ymlĪssuming concurrency set to 20 each in those configs, we need to have 2 x 20 = 40 connections. bundle exec sidekiq -C config/sidekiq/payment.yml. We also need to set the DB pool size to 5. This means, we need to have at least 2x5 = 10 connections. In this exercise, I'm using WEB_CONCURRENCY. A process is something like how many puma/sidekiq process that you have. Once we have figured that out, we need to think about the amount of process that we will have: So, there's a chance the web might have bigger value unless you can specify different config between the worker and the web server (assuming they live in different server) Sidekiq might have different concurrency, so, if the concurrency is set to 20, then you need to increase the pool size to accomodate that. But you might different value when you have a background job, e.g: Sidekiq. If you set RAILS_MAX_THREAD to 10, then, that's the amount the pool size needed. The pool size in database.yml depends on how many threads/concurrency that you set. The first part is to figure out the max connections per process: To send request, we can use this command: # Apache benchmarkĬalculating the amount of database needed To run the server, I use this command (values will be changed depending on what I want to try): DB_PORT=7432 \ We can use this SQL to check the amount of connections: SELECT * FROM pg_stat_activity WHERE datname = 'blog_development' Psql -U postgres -h localhost -d blog_development -p 6432 We can connect to the PostgreSQL with: # 6432 = Connect to PostgreSQL directly Setup the DB and create a table: $ rails g model User nameĮnter fullscreen mode Exit fullscreen mode # config/routes.rbĬlass HomeController < ApplicationController #Pgbouncer docker update
Update some of the code: # config/database.ymlĮnter fullscreen mode Exit fullscreen mode # config/puma.rb Ignore_startup_parameters = extra_float_digits # create docker network so that PgBouncer and PostgreSQL can communicate with eacher otherĮnter fullscreen mode Exit fullscreen modeīlog_development = host=conn-poc-1-pg port=5432 user=postgres $ rails new blog -api -T -database=postgresql
#Pgbouncer docker install
To try this out, I'm using docker so that I don't have to install extra application: $ mkdir conn-poc cd conn-poc So, here is some notes on trying to understand some of it. Rails by default comes with connection pooler on the application side but I always wonder what is the difference if we use another connection pooler such as PgBouncer.