pgbouncer
citus
| pgbouncer | citus | |
|---|---|---|
| 34 | 61 | |
| 2,648 | 9,840 | |
| 1.5% | 1.2% | |
| 8.7 | 9.4 | |
| 6 days ago | 7 days ago | |
| C | C | |
| GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pgbouncer
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MongoDB and Load Balancer Support
Thanks to MongoDB drivers all consistently providing connection monitoring and pooling functionality, external connection pooling solutions aren't required (ex: Pgpool, PgBouncer). This allows applications built using MongoDB drivers to be resilient and scalable out of the box, but based on what we understand regarding the number of connections applications establish to MongoDB clusters it stands to reason that at a certain point as our application deployments increase, so will our connections.
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Minha jornada de otimização de uma aplicação django
Pgbouncer - resolvia o problema do limite de conexões no postgres. Mas a API “saudável” manteve o número de conexões baixo o suficiente.
- PgBouncer 1.21.0 – "The one with prepared statements"
- Pgbouncer adds support for prepared statements
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PgBouncer is useful, important, and fraught with peril
Pgbouncer maintainer here. Overall I think this is a great description of the tradeoffs that PgBouncer brings and how to work around/manage them. I'm actively working on fixing quite a few of the issues in this blog though
1. Named protocol-level prepared statements in transaction mode has a PR that's pretty close to being merged: https://github.com/pgbouncer/pgbouncer/pull/845
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Supavisor: Scaling Postgres to 1 Million Connections
A common solution is connection pooling. Supabase currently offers pgbouncer which is single-threaded, making it difficult to scale. We've seen some novel ways to scale pgbouncer, but we have a few other goals in mind for our platform.
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Citus 12: Schema-based sharding for PostgreSQL
Great observation! :)
We worked upstream to have `search_path` properly handled (tracked per client) by pgbouncer.
https://github.com/pgbouncer/pgbouncer/commit/8c18fc4d213ad4...
Check config.md in that commit for a verbose, humanized description.
citus
- SPQR 1.3.0: a production-ready system for horizontal scaling of PostgreSQL
- Citus: PostgreSQL extension that transforms Postgres into a distributed database
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Figma's Databases team lived to tell the scale
I see they don't mention Citus (https://github.com/citusdata/citus), which is already a fairly mature native Postgres extension. From the details given in the article, in sounds like they just reimplemented it.
I wonder if they were unaware of it or disregarded it for a reason —I currently am in a similar situation as the one described in the blog, trying to shard a massive Postgres DB.
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PostgreSQL Is Enough
It is possible, if you pay for it. You can do Multi-AZ Clustered Instances in RDS, where you get the benefits of Multi-AZ failover with traffic sharing.
If you can run your own infra – at least on an EC2 level – you can do things like Citus [0] for Postgres, which is about as close to "just add database nodes" as you'll get.
[0]: https://www.citusdata.com/
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Vitess 18
So while searching for something like this for postgres I came across citus. Any one know how that stacks up?
https://github.com/citusdata/citus
- In-Depth Guide: Citus Technical Readme
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Revolutionizing Database Scaling with CitusDB
References: CitusDB
- Squeeze the hell out of the system you have
- Show HN: Hydra 1.0 – open-source column-oriented Postgres
- Schema-based sharding comes to PostgreSQL with Citus
What are some alternatives?
odyssey - Scalable PostgreSQL connection pooler
Greenplum - Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
pgcat - PostgreSQL pooler with sharding, load balancing and failover support. [Moved to: https://github.com/postgresml/pgcat]
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
pgcat - PostgreSQL pooler with sharding, load balancing and failover support.
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
rds-auth-proxy - A "passwordless" login experience for your AWS RDS
stolon - PostgreSQL cloud native High Availability and more.