ruby-pg
PostgreSQL
ruby-pg | PostgreSQL | |
---|---|---|
9 | 411 | |
754 | 14,834 | |
- | 2.6% | |
7.5 | 10.0 | |
18 days ago | 2 days ago | |
C | C | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
ruby-pg
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Test Driving a Rails API - Part One
If you installed Postgres via Homebrew, you need to configure bundler so that when it installs the pg gem, it knows where to find the pg_config executable, which is installed as part of Postgres. The pg gem is the Ruby interface to Postgres and requires pg_config during installation. We can use this command to configure bundler so that it can find it and successfully install pg.
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It's not Ruby that's slow, it's your database
Before we proceed, are you aware that a lot of popular database drivers for Ruby (and Python? not sure) implement the performance-critical bits in good old natively compiled C?
For example, the Ruby postgres gem: https://github.com/ged/ruby-pg/tree/master/ext
(I wasn't sure until I checked just now, so I'm not questioning your familiarity with the tech. Just not sure if that's commonly known)
So no, it's not the database, it's your interpreted language.
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Insert CSV Rows into a Database Using Vanilla Ruby
$ gem info pg *** LOCAL GEMS *** pg (1.3.4) Authors: Michael Granger, Lars Kanis Homepage: https://github.com/ged/ruby-pg License: BSD-2-Clause Installed at: /Users/jvon1904/.rvm/gems/ruby-3.0.3 Pg is the Ruby interface to the PostgreSQL RDBMS
- Explaining Ruby Fibers
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Is it possible to lazy load a long text from the database?
The low level pg gem has support for Postgres streaming, but this is row-based. You're wanting to stream effectively from a single field, which Postgres won't do for you.
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49 Days of Ruby: Day 31 - Working with Databases
The ruby-pg gem provides an interface between your Ruby code and your PostgreSQL database.
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How to fix "Bundler::GemRequireError" and "Gem Load Error is: AddDllDirectory failed" when switching from Sqlite3 to Postgres in Rails 6
set RUBY_DLL_PATH=/bin as in our CI before running the ruby app.
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Ruby 3.0 and the new FiberScheduler interface
> each is in its own OS thread and GVL releases when the thread blocks.
The GVL isn't automatically released when a thread blocks on IO. Each bit of native code performing IO has to explicitly release it like in the pg gem here: https://github.com/ged/ruby-pg/blob/fb465855ce1dd12cf7eb69c9...
PostgreSQL
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Essential Tools & Technologies for New Developers
Every time I buy a new computer, the first thing I install is the servers for MySql and Postgres, the two most common databases. This way, I can start the databases with a simple command like this:
- OpenBSD 7.3 を 7.4 へ アップグレード
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What do you want to watch next? This is why I built GoodWatch.
Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance
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System Design: Databases and DBMS
PostgreSQL
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.
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Integrate txtai with Postgres
Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client
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Understanding SQL vs. NoSQL Databases: A Beginner's Guide
SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.
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From zero to hero: using SQL databases in Node.js made easy
Node.js, MySQL and PostgreSQL servers installed on your machine
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I Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC)
Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).
What are some alternatives?
hypopg - Hypothetical Indexes for PostgreSQL
psycopg2 - PostgreSQL database adapter for the Python programming language
cubrid - CUBRID is a comprehensive open source relational database management system highly optimized for Web Applications.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
async-pool - Provides support for connection pooling both singleplex and multiplex resources.
phpMyAdmin - A web interface for MySQL and MariaDB
pymgclient - Python Memgraph Client
Firebird - FB/Java plugin for Firebird
libsmb2 - SMB2/3 userspace client
Adminer - Database management in a single PHP file
pgslice - Postgres partitioning as easy as pie
SQLAlchemy - The Database Toolkit for Python