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Joplin

EPL-1.0Clojurev0.3.3

A Clojure library for managing migrations and seeding across multiple datastores like SQL, Datomic, Cassandra, and Elasticsearch.

GitHubGitHub
317 stars45 forks0 contributors

What is Joplin?

Joplin is a Clojure library designed for flexible datastore migration and seeding. It solves the challenges of managing multiple datastores—such as SQL, Datomic, and Cassandra—across different environments like development and production. By providing a unified configuration and extensible plugins, it streamlines database operations in complex systems.

Target Audience

Clojure developers working on projects that involve multiple datastores and require consistent migration and seeding across environments. It's particularly useful for teams managing SQL, NoSQL, or search databases in microservices or polyglot persistence architectures.

Value Proposition

Developers choose Joplin for its extensible plugin system, declarative environment configuration, and seamless integration with Clojure workflows. Unlike single-database tools, it offers a unified solution for heterogeneous datastores, reducing operational complexity.

Overview

Flexible datastore migration and seeding for Clojure projects

Use Cases

Best For

  • Managing migrations across multiple datastores in a single Clojure project
  • Seeding development databases with consistent test data
  • Handling environment-specific configurations for staging and production
  • Extending migration support to custom or niche datastores
  • Automating database workflows via REPL or Leiningen aliases
  • Integrating SQL and NoSQL databases in microservices architectures

Not Ideal For

  • Projects using only a single SQL database with no multi-datastore needs
  • Teams already using framework-native migration tools like Rails ActiveRecord or Django migrations
  • Non-Clojure applications, as it's tightly coupled with Clojure and Leiningen ecosystems
  • Simple setups where manual SQL scripts or lighter tools suffice

Pros & Cons

Pros

Multi-Datastore Unification

Built-in plugins for SQL, Datomic, Elasticsearch, Cassandra, and more allow consistent migration across heterogeneous databases, reducing operational complexity.

Declarative Environment Configuration

Enables defining databases, migrators, and seeds in EDN files and combining them into environments like dev and prod for reproducible setups.

Flexible Clojure Integration

Can be run from the REPL, via Leiningen aliases, or programmatically, fitting seamlessly into Clojure development workflows.

Extensible Plugin System

Adding support for new datastores requires implementing only a handful of multi-methods, as per the README, making it adaptable to custom needs.

Cons

Breaking Version Changes

Version 0.3 contains many breaking changes from 0.2, requiring careful migration and potentially breaking existing configurations, as warned in the README.

Non-Idempotent Seed Operations

Seed functions are not idempotent and can lead to data duplication if run multiple times, requiring manual oversight to avoid issues.

Configuration Complexity

The EDN-based configuration map with environments, migrators, and seeds can be overkill for simple projects, adding unnecessary setup overhead.

Limited Toolchain Compatibility

Heavy reliance on Leiningen and Clojure-specific features makes it less suitable for projects using other build tools or languages, limiting its portability.

Frequently Asked Questions

Quick Stats

Stars317
Forks45
Contributors0
Open Issues16
Last commit6 years ago
CreatedSince 2014

Tags

#devops#data-seeding#database-migrations#clojure#jdbc#datomic#elasticsearch#cassandra#sql

Built With

C
Clojure

Included in

Clojure2.8k
Auto-fetched 17 hours ago

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