Re: How to best archetect Multi-Tenant SaaS application using Postgres - Mailing list pgsql-general
| From | Silk Parrot |
|---|---|
| Subject | Re: How to best archetect Multi-Tenant SaaS application using Postgres |
| Date | |
| Msg-id | etPan.57a03af2.63465551.5fc@gmail.com Whole thread Raw |
| In response to | Re: How to best archetect Multi-Tenant SaaS application using Postgres (Venkata Balaji N <nag1010@gmail.com>) |
| Responses |
Re: How to best archetect Multi-Tenant SaaS application
using Postgres
(John R Pierce <pierce@hogranch.com>)
Re: How to best archetect Multi-Tenant SaaS application using Postgres (Venkata Balaji N <nag1010@gmail.com>) |
| List | pgsql-general |
Thanks for the response
We are trying build a multi tenant application and are debating which approach we should take: (also my understanding is based on that pgbouncer connection pool doesn’t work across different user/database pair):1. For each tenant, we create a dedicated database and a dedicated user. This option gives best isolation. However, connection pooling won’t work pgbouncer.Not sure what you meant by saying connection pooling (pgBouncer) does not work ? This is the general approach for building a multi-tenant application.
According to https://pgbouncer.github.io/config.html, the connection pooling is based on user/database pair. If each user connects under its own username to its own database, then the connection opened can’t be shared with other users. If I want to make a single server host 1000 tenants at the same time, then there will be at least 1000 connections even I use pgBouncer.
How many concurrent connections can be made, will purely depend on number of CPUs (cores) you have available on the database server.Well, certainly 1 would be the way to go to build an multi-tenant application, but, it strongly depends on your application specific requirements and how are you distributing the data across databases and how the users are accessing data across the databases.
Yup, I also would like to go with 1, suppose a server with 16 core, 32GB memory, SSD box, how many connections could it handle roughly, e.g. O(100) or O(1000) or O(5000)?
--
Regards
Regards
Ryan
On August 1, 2016 at 10:30:48 PM, Venkata Balaji N (nag1010@gmail.com) wrote:
On Sun, Jul 31, 2016 at 12:07 PM, Silk Parrot <silkparrot@gmail.com> wrote:
Hi,We are trying build a multi tenant application and are debating which approach we should take: (also my understanding is based on that pgbouncer connection pool doesn’t work across different user/database pair):1. For each tenant, we create a dedicated database and a dedicated user. This option gives best isolation. However, connection pooling won’t work pgbouncer.
Not sure what you meant by saying connection pooling (pgBouncer) does not work ? This is the general approach for building a multi-tenant application.
2. We put all tenants in a single database, and just use one user. I learned that pgbackup will be probamatic when there are > 30 schemas in a database, so we probably can’t create dedicate schema for each tenant.We are more inclined to choose 1, but don't know how many concurrent connections Postgres can handle for OLTP workload in a 32GB memory, SSD box. Also we would like hear from someone with more postgres experience about the best practice for building multi-tenant application. Again, i am not sure what you meant by saying pgbackup will not work where there are more than 30 schemas ?
Which version of PostgreSQL are you using ?
How many concurrent connections can be made, will purely depend on number of CPUs (cores) you have available on the database server.
Well, certainly 1 would be the way to go to build an multi-tenant application, but, it strongly depends on your application specific requirements and how are you distributing the data across databases and how the users are accessing data across the databases.
Regards,
Venkata B N
Fujitsu Australia
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