Open-Source Databases · rin-nas

postgresql-patterns-library

A curated collection of ready-to-use SQL queries and PLpgSQL functions for PostgreSQL, addressing common data tasks like validation, CSV handling, string processing, JSON/array manipulation, and query optimization. Written in Russian with 776 stars and actively maintained since 2018.

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Source: GitHub — github.com/rin-nas/postgresql-patterns-library

776

GitHub stars

172

Forks

PLpgSQL

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	rin-nas/postgresql-patterns-library
Owner	rin-nas
Primary language	PLpgSQL
License	MIT — OSI-approved
Stars	776
Forks	172
Open issues	4
Latest release	Unknown
Last updated	2026-06-27
Source	https://github.com/rin-nas/postgresql-patterns-library

What postgresql-patterns-library is

Primarily a PLpgSQL recipe repository covering email/phone/company-ID validation, MySQL-to-PostgreSQL migration patterns, deduplication, tree/graph traversal with CTEs, bulk INSERT/UPSERT optimization, CSV import/export, and EXPLAIN plan analysis. No external dependencies; intended as copy-paste code snippets.

Quickstart

Get the postgresql-patterns-library source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/rin-nas/postgresql-patterns-library.git2cd postgresql-patterns-library3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Data Validation at the Database Layer

Implement robust validation for Russian business identifiers (INN, KPP, OGRNIP, SNILS), banking details, email, phone, and CSS colors as CHECK constraints or stored procedures to enforce consistency without application logic.

MySQL/MariaDB to PostgreSQL Migration

Quick reference for translating MySQL-specific functions (GROUP_CONCAT, SET type, MAKE_SET) into PostgreSQL equivalents using window functions, array operations, and JSON features.

Query Optimization and Performance Tuning

Learn optimization patterns for large IN(...) queries, COUNT(*) acceleration, tree/graph traversal, and batch operations; includes EXPLAIN plan interpretation and benchmarking templates.

Implementation considerations

All code is PLpgSQL; copy snippets into your schema and adapt to your table/column names. No installation or dependency management required.
Validation functions (email regex, INN check-digit, SNILS) are locale/region-specific; verify they match your jurisdiction requirements before relying on them.
Performance examples assume PostgreSQL 10+; some patterns reference version-specific behavior (e.g., v12 planner improvements). Test with your PostgreSQL version.
No integrated test harness; manually validate each snippet with representative data and EXPLAIN ANALYZE before production use.
Many snippets reference Russian data (gender detection from Russian names, Russian business IDs). Adaptation required for other languages/regions.

When to avoid it — and what to weigh

Need Official Vendor Support — This is a community reference library, not a supported product. No SLA, bug-fix guarantees, or vendor backing; suitable only for self-managed teams or as a learning resource.
Require Pre-built Application Features — Collection is code snippets, not a packaged tool or ORM. Integration requires manual SQL authoring and testing; not suitable for plug-and-play deployment.
Non-Russian-Speaking Teams — README, issue discussions, and most documentation are exclusively in Russian. Requires translation effort or Russian-fluent team members for effective use.
Strict Production Compliance Requirements — No formal testing suite, security audit, or compliance certifications provided. Snippets must be individually reviewed and validated before production deployment.

License & commercial use

MIT License. Permissive; allows use, modification, and distribution in proprietary and commercial projects provided original copyright and license notice are retained. No warranty. See LICENSE file for full terms.

MIT is an OSI-approved permissive license explicitly allowing commercial use. Attribution required in code or documentation. No legal restrictions on commercial deployment. However, this is community code without vendor support or indemnification; obtain legal review before critical production use if risk-averse.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Good
Assessment confidence	High

Security considerations

Code is server-side SQL; standard SQL-injection risks apply if user input is not parameterized. Validation functions (email regex, phone checks) perform pattern matching but do not verify real-world validity (e.g., email regex does not guarantee deliverability). Audit regex patterns and validation logic for your threat model before deployment. No cryptographic operations or secrets management demonstrated.

Alternatives to consider

pgTAP (PostgreSQL Testing)

Unit testing framework for PL/pgSQL; complements this library by enabling systematic validation of custom functions before production.

pgAdmin or DBeaver Query Snippets

IDE-level snippet management for SQL; provides GUI-based categorization and reuse without maintaining a separate repository.

pg_upgrade or Migration Tools (e.g., AWS SCT, Liquibase)

For MySQL-to-PostgreSQL migration at scale; this library covers specific pattern translation but not full schema/data migration orchestration.

Software development agency

Build on postgresql-patterns-library with DEV.co software developers

Our engineering team can help you integrate these patterns into your codebase, adapt them to your schema, and ensure they pass security and performance review. Let's discuss your database needs.

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postgresql-patterns-library FAQ

Can I use this in production?

Yes, MIT allows production use. However, each snippet must be individually tested, validated, and approved by your team. No vendor SLA or support is available. Suitable for self-managed PostgreSQL deployments.

Is this a package I can pip/npm install?

No. It is a reference repository of code snippets. You copy SQL into your schema, adapt it to your schema, and test it. No automated deployment mechanism.

Are there English docs?

No. All documentation and discussion are in Russian. English speakers will need translation tools or Russian-fluent team members. Consider this a learning resource or reference for teams fluent in Russian.

How often is it updated?

Last commit was 2026-06-27. Repository is not archived and has low issue count (4 open), suggesting active but infrequent updates. No formal release cycle or versioning scheme.

Work with a software development agency

Adopting postgresql-patterns-library is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate open-source databases software in production.

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