pgbouncer

django 1.7 and connection pooling to PostgreSQL?

爷,独闯天下 提交于 2019-11-30 08:37:29
What are the differences between the django apps (Django-PostgresPool, djorm-ext-pool, django-db-pool) and PG Bouncer or PG Pool? Do the apps use one of the last two packages? In this article , the author says that there is a patch starting with django 1.6. Does that mean we do not have to use any of these solutions anymore, neither the apps, nor the PG Bouncer or PG Pool package? Postgres database connections are expensive (resources) compared to MySQL connections. Django pooling apps will open many connections and keep the open. PG Bouncer and PG Pool will open fewer connections to Postgres,

What are advantages of using transaction pooling with pgbouncer?

拈花ヽ惹草 提交于 2019-11-30 04:30:38
I'm having trouble finding a good summary of the advantages/disadvantages of using pgbouncer for transaction pooling vs session pooling. Does it mean that a transaction heavy workload is somehow better load balanced? Is it to prevent as many connections being required to connect from pgbouncer to the database? Transaction-level pooling will help if you have apps that hold idle sessions. PgBouncer won't need to keep sessions open and idle, it just grabs one when a new transaction is started. Those idle sessions only cost you a pgbouncer connection, not a real idle Pg session with a backend

Ideal settings for pgbouncer with Django's CONN_MAX_AGE

心已入冬 提交于 2019-11-30 01:42:25
I'm running a multi-tennant website, where I would like to reduce the overhead of creating a PostgreSQL connection per request. Django's CONN_MAX_AGE allows this, at the expense of creating a lot of open idle connections to PostgreSQL (8 workers * 20 threads = 160 connections). With 10MB per connection, this consumes a lot of memory. The main purpose is reducing connection-time overhead. Hence my questions: Which setup should I use for such solution? (PgBouncer?) Can I use 'transaction' pool mode with Django? Would I be better off using something like: https://github.com/kennethreitz/django

django 1.7 and connection pooling to PostgreSQL?

僤鯓⒐⒋嵵緔 提交于 2019-11-29 12:16:59
问题 What are the differences between the django apps (Django-PostgresPool, djorm-ext-pool, django-db-pool) and PG Bouncer or PG Pool? Do the apps use one of the last two packages? In this article, the author says that there is a patch starting with django 1.6. Does that mean we do not have to use any of these solutions anymore, neither the apps, nor the PG Bouncer or PG Pool package? 回答1: Postgres database connections are expensive (resources) compared to MySQL connections. Django pooling apps

What are advantages of using transaction pooling with pgbouncer?

醉酒当歌 提交于 2019-11-29 01:44:43
问题 I'm having trouble finding a good summary of the advantages/disadvantages of using pgbouncer for transaction pooling vs session pooling. Does it mean that a transaction heavy workload is somehow better load balanced? Is it to prevent as many connections being required to connect from pgbouncer to the database? 回答1: Transaction-level pooling will help if you have apps that hold idle sessions. PgBouncer won't need to keep sessions open and idle, it just grabs one when a new transaction is

Ideal settings for pgbouncer with Django's CONN_MAX_AGE

一世执手 提交于 2019-11-28 22:30:39
问题 I'm running a multi-tennant website, where I would like to reduce the overhead of creating a PostgreSQL connection per request. Django's CONN_MAX_AGE allows this, at the expense of creating a lot of open idle connections to PostgreSQL (8 workers * 20 threads = 160 connections). With 10MB per connection, this consumes a lot of memory. The main purpose is reducing connection-time overhead. Hence my questions: Which setup should I use for such solution? (PgBouncer?) Can I use 'transaction' pool

How does pgBouncer help to speed up Django

我是研究僧i 提交于 2019-11-28 16:02:03
问题 I have some management commands that are based on gevent. Since my management command makes thousands to requests, I can turn all socket calls into non-blocking calls using Gevent. This really speeds up my application as I can make requests simultaneously. Currently the bottleneck in my application seems to be Postgres. It seems that this is because the Psycopg library that is used for connecting to Django is written in C and does not support asynchronous connections. I've also read that