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

セキュリティとテスト

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

概要

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.

主な機能

Automated Cassandra 5.0 Docker environment orchestration
Dataset packaging and CI-ready smoke testing scripts
SSTable export with preserved keyspace and table directory structures
0 GitHub stars
Real-world data generation for all CQL primitive and collection types
Automated validation workflows against sstabledump output

ユースケース

Validating parsing correctness for complex CQL types and compression formats
Creating reproducible test fixtures for database drivers or SSTable parsers
Generating large-scale datasets to test wide partitions and pagination logic

概要

主な機能

Automated Cassandra 5.0 Docker environment orchestration
Dataset packaging and CI-ready smoke testing scripts
SSTable export with preserved keyspace and table directory structures
0 GitHub stars
Real-world data generation for all CQL primitive and collection types
Automated validation workflows against sstabledump output

ユースケース

Validating parsing correctness for complex CQL types and compression formats
Creating reproducible test fixtures for database drivers or SSTable parsers
Generating large-scale datasets to test wide partitions and pagination logic