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PostgreSQL 16 introduces quite a few improvements to the query planner and makes many SQL queries run faster than they did on previous versions of PostgreSQL. If you look at the PG16 release notes, you’ll see some of these planner improvements. But with the volume of changes made in each PostgreSQL release, it’s not possible to provide enough detail about each and every change. So maybe you might
The 2nd step above is new in Citus 11. The citus_finish_citus_upgrade function will ensure that all the nodes have metadata, such that your existing cluster behaves the same as a brand new Citus 11 cluster. We recommend also calling citus_finish_citus_upgrade after any future Citus upgrade, since we may add additional steps. No application changes are required when switching to Citus 11. You can c
Speeding up sort performance in Postgres 15 Written by David Rowley May 19, 2022 This post by David Rowley about Postgres 15 was originally published on the Microsoft TechCommunity Blog. In recent years, PostgreSQL has seen several improvements which make sorting faster. In the PostgreSQL 15 development cycle—which ended in April 2022—Ronan Dunklau, Thomas Munro, Heikki Linnakangas, and I contribu
Personally I'm a big fan of email, just like blogging. To me a good email thread can be like a good novel where you're following along always curious for what comes next. And no, I don't mean the ones where there is an email to all-employees@company.com and someone replies all, to only receive reply-all's to not reply-all. I mean ones like started last week internally among the Azure Postgres team
I talk with a lot of folks that set their database up, start working with it, and then are surprised by issues that suddenly crop up out of nowhere. The reality is, so many don't want to have to be a DBA, instead you would rather build features and just have the database work. But your is that a database is a living breathing thing. As the data itself changes what is the right way to query and beh
Fun with SQL: Recursive CTEs in Postgres Written by Craig Kerstiens May 15, 2018 Common Table Expressions (CTEs) are a powerful construct within SQL. In day to day conversation, you may hear CTEs referred to as WITH clauses. You can think of CTEs as similar to a view that is materialized only while that query is running and does not exist outside of that query. CTEs can be very useful building blo
When Postgres blocks: 7 tips for dealing with locks Written by Marco Slot February 22, 2018 Last week I wrote about locking behaviour in Postgres, which commands block each other, and how you can diagnose blocked commands. Of course, after the diagnosis you may also want a cure. With Postgres it is possible to shoot yourself in the foot, but Postgres also offers you a way to stay on target. These
PostgreSQL rocks, except when it blocks: Understanding locks Written by Marco Slot February 15, 2018 On the Citus open source team, we engineers take an active role in helping our users scale out their Postgres database, be it for migrating an existing application or building a new application from scratch. This means we help you with distributing your relational data model—and also with getting t
Podyn: DynamoDB to PostgreSQL replication and migration tool Written by Marco Slot September 22, 2017 Wouldn’t it be great if you could run SQL queries on your data in DynamoDB? While this isn’t possible directly, there is an alternative: With Podyn, you can automatically replicate the schema, data, and changes in your DynamoDB tables to Postgres. Once your data is flowing into Postgres, you can s
POSETTE 2024 is a wrap! 💯 Thanks for joining the fun! Missed it? Watch all 42 talks online 🍿 A key part of running a reliable database service is ensuring you have a good plan for disaster recovery. Disaster recovery comes into play when disks or instances fail, and you need to be able to recover your data. In those type of cases logical backups, via pg_dump, may be days old and in such cases no
Customizing My Postgres Shell Written by Craig Kerstiens July 16, 2017 As a developer your CLI is your home. You spend a lifetime of person-years in your shell and even small optimizations can pay major dividends to your efficiency. For anyone that works with Postgres and likely the psql editor, you should consider investing some love and care into psql. A little known fact is that psql has a numb
Scaling Connections in Postgres Written by Craig Kerstiens May 10, 2017 There are a number of applications out there that have a high number of connections to Postgres. What's high? That all depends on your application, but generally when you get to the few hundred connection area in Postgres you're in the higher end. Anything in the thousands is definitely in the high territory, and even several
Postgres tips for Rails developers Written by Lukas Fittl April 28, 2017 This week at RailsConf, we found ourselves sharing a lot of tips for using PostgreSQL with Rails. We thought it might be worthwhile to write up many of these and share more broadly. Here you’ll find some tips that will help you in debugging and improving performance of your database from your Rails app. And now, on to the cod
How to Scale PostgreSQL on AWS–Learnings from Citus Cloud Written by Ozgun Erdogan March 10, 2017 Update in October 2022: The Citus managed database service is now available in Azure Cosmos DB for PostgreSQL. If you’re looking to distribute PostgreSQL in the cloud (for multi-tenant SaaS apps, or real-time analytics, or time series workloads), take a look at Azure Cosmos DB for PostgreSQL. And as a
Indexes are an essential tool for optimizing database performance and are becoming ever more important with big data. However, as the volume of data increases, index maintenance often becomes a write bottleneck, especially for advanced index types which use a lot of CPU time for every row that gets written. Index creation may also become prohibitively expensive as it may take hours or even days to
Today we’re happy to announce our new activerecord-multi-tenant Ruby library, which enables easy scale-out of applications that are built on top of Ruby on Rails and follow a multi-tenant data model. This Ruby library has evolved from our experience working with customers, scaling out their multi-tenant apps, and patching some restrictions that ActiveRecord and Rails currently have when it comes t
Citus 12.1 is out! Now with PG16 Support. Read all about it in Naisila’s 12.1 blog post. 💥 Update in October 2022: The Citus managed database service is now available in the cloud as Azure Cosmos DB for PostgreSQL. And as always, the Citus database is also available as open source: you can find the Citus repo on GitHub or download Citus here. Citus 6.0 allows you to scale out your transactional r
POSETTE: An Event for Postgres 2025 will happen virtually Jun 10-12, 2025. Call for Speakers is open! 💥 If you’re building a SaaS application, you probably already have the notion of tenancy built in your data model. Typically, most information relates to tenants / customers / accounts and your database tables capture this natural relation. With smaller amounts of data (10s of GB), it’s easy to t
Running periodic jobs such as vacuuming or removing old data is a common requirement in PostgreSQL. A simple way to achieve this is to configure cron or another external daemon to periodically connect to the database and run a command. However, with databases increasingly running as managed services or stand-alone containers, running and configuring a separate deamon is often impractical. It is al
Five ways to paginate in Postgres, from the basic to the exotic Written by Joe Nelson March 30, 2016 It may surprise you that pagination, pervasive as it is in web applications, is easy to implement inefficiently. In this article we'll examine several methods of server-side pagination and discuss their tradeoffs when implemented in PostgreSQL. This article will help you identify which technique is
Update in October 2022: The Citus managed database service is now available in the cloud as Azure Cosmos DB for PostgreSQL. And as always, the Citus database is also available as open source: you can find the Citus repo on GitHub or download Citus here. At Citus we believe in making databases easier. Key to that is empowering users to scale Postgres beyond the typical limits of a single node. Our
Master-less Distributed Queue with PG Paxos Written by April 13, 2016 The following post is contributed by 8Kdata An introduction to pg_paxos Pg_paxos is a database level implementation of the widely renowned Paxos protocol, invented by Leslie Lamport. Pg_paxos offers a master-less (or multi-master, if you prefer) layer that can be enabled directly in the database without the need for external too
Citus Unforks From PostgreSQL, Goes Open Source Written by Ozgun Erdogan March 24, 2016 When we started working on CitusDB 1.0 four years ago, we envisioned scaling out relational databases. We loved Postgres (and the elephant) and picked it as our underlying database of choice. Our goal was to extend this database to seamlessly shard and replicate your tables, provide high availability in the fac
pg_paxos, High Availability Data Replication for PostgreSQL Written by Marco Slot November 19, 2015 The Paxos algorithm is a powerful building block for building highly available distributed systems. Paxos can be seen as a function paxos(k,v) that returns the same value on all servers in a group for a certain key (k), and the value is one of the inputs (v). Paxos is most commonly used to implement
How to scale PostgreSQL on Amazon RDS using pg_shard Written by Marco Slot July 15, 2015 With the release of Citus 5.0 in 2016, all pg_shard functionality is included directly in Citus. We encourage you to take a look at Citus, instead of pg_shard which is now deprecated. Citus is available as open source and in the cloud, as the Azure Cosmos DB for PostgreSQL managed service. If you’re looking to
With Citus, you can scale Postgres with superpowers like distributed tables, distributed SQL engine, columnar, & more.
This blog post simplifies certain concepts to be brief. If you're looking for examples on how to override the PostgreSQL planner and executor, please check out Citus on GitHub or download Citus here. By now, you've likely heard the line "SQL doesn't scale." If you take away all the marketing, what remains of this line is "SQL is hard to scale." At a high level, three reasons make scaling out SQL h
Testing Postgres vectorization for faster aggregations Written by Umur Cubukcu October 7, 2014 One of the ideas we wanted to explore more has been speeding up in-memory aggregations in PostgreSQL through vectorized execution. The opportunity to do so came up when we had our intern, Can, take this on as a project during his summer internship. The early numbers he has there are promising - suggestin
POSETTE: An Event for Postgres 2025 will happen virtually Jun 10-12, 2025. Call for Speakers is open! 💥 In April we released cstore_fdw, the first columnar store foreign data wrapper for PostgreSQL. Our initial blog post received lots of interest in cstore_fdw but also lots of questions. In this blog post we're going to attempt to answer some of the more common performance related questions: How
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