Does it support the latest Cassandra 5.0 features?

Yes, it is specifically designed for Cassandra 5.0, supporting new storage engine features, compression formats, and CQL data types.

Does this skill generate fake data or real SSTables?

It uses a real Cassandra 5.0 instance running in Docker to write actual SSTables to disk, ensuring that the test data follows the exact physical storage format used by production databases.

How does the validation process work?

The skill provides a workflow that compares data parsed by your tool against the JSON output of the official Cassandra sstabledump utility, ensuring bit-for-bit accuracy.

Is this suitable for large-scale performance testing?

Yes, it includes 'SCALE' environment variables (SMALL, MEDIUM, LARGE) that allow you to generate significant volumes of data for stress testing and benchmark scenarios.

Can I use my own custom CQL schemas?

Yes. You can add your custom .cql files to the schemas directory, and the start-clean script will automatically apply them to the test environment.

Cassandra Test Data Management

Name: Cassandra Test Data Management
Author: pmcfadin

bypmcfadin

0•

安全与测试

Generates and validates production-grade Cassandra 5.0 test data using Docker-based workflows for SSTable parsing and integration testing.

The Cassandra Test Data Management skill provides a comprehensive framework for creating, managing, and validating real Apache Cassandra 5.0 datasets. By leveraging Docker containers to run actual Cassandra instances, it ensures 100% format correctness and edge-case coverage for SSTable parsing. It automates the entire lifecycle of test data—from starting clean instances and applying schemas to generating type-correct data and exporting SSTables with preserved directory structures. This skill is particularly valuable for developers building database tools, drivers, or parsers who need to validate their implementation against official Cassandra outputs like sstabledump.

主要功能

01Automated Cassandra 5.0 Docker environment orchestration

02Dataset packaging and CI-ready smoke testing scripts

03SSTable export with preserved keyspace and table directory structures

040 GitHub stars

05Real-world data generation for all CQL primitive and collection types

06Automated validation workflows against sstabledump output

使用场景

01Validating parsing correctness for complex CQL types and compression formats

02Creating reproducible test fixtures for database drivers or SSTable parsers

03Generating large-scale datasets to test wide partitions and pagination logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pmcfadin/cqlite test-data-management

For use in Claude.ai and ChatGPT

主要功能

01Automated Cassandra 5.0 Docker environment orchestration

02Dataset packaging and CI-ready smoke testing scripts

03SSTable export with preserved keyspace and table directory structures

040 GitHub stars

05Real-world data generation for all CQL primitive and collection types

06Automated validation workflows against sstabledump output

使用场景

01Validating parsing correctness for complex CQL types and compression formats

02Creating reproducible test fixtures for database drivers or SSTable parsers

03Generating large-scale datasets to test wide partitions and pagination logic