How does interaction color tracking work?

It uses the Gay.jl SplitMix64 algorithm to generate a deterministic hex color from a query's fingerprint, allowing developers to visually identify which thread or process initiated a database change.

What is DuckDB time travel?

DuckDB time travel allows you to query a database table as it existed at a specific snapshot version or point in time using 'AT (VERSION => x)' or 'AT (TIMESTAMP => x)' syntax.

What are bi-temporal schema patterns?

Bi-temporal schemas track two timelines: 'valid time' (when an event actually occurred in the real world) and 'system time' (when the data was recorded in the database), enabling full historical accuracy.

What is GF(3) conservation in this skill?

It is a mathematical framework that assigns a 'trit' (-1, 0, +1) to queries based on whether they contract, read, or expand the dataset, helping maintain balance in complex data operations.

DuckDB Time Travel & Provenance

Name: DuckDB Time Travel & Provenance
Author: plurigrid

byplurigrid

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Database Management

Enables advanced DuckDB time-travel queries and bi-temporal data tracking with deterministic interaction coloring.

About

This skill provides specialized capabilities for managing DuckDB and DuckLake time-travel operations, allowing users to query historical data states via specific snapshots or timestamps. It implements a sophisticated provenance system that assigns deterministic colors to database interactions using the Gay.jl SplitMix64 algorithm and monitors thread lineage across complex sessions. By incorporating bi-temporal schema patterns and GF(3) conservation principles, it ensures that data changes are not only reversible but also mathematically tracked and visually distinguishable for auditing and debugging.

Key Features

Thread lineage analysis to trace data evolution across sessions
2 GitHub stars
Snapshot and timestamp-based DuckDB time-travel query syntax
Deterministic interaction color tracking via Gay.jl SplitMix64
GF(3) phase tracking for classifying query types (Plus, Minus, Ergodic)
Bi-temporal schema implementation for historical data versioning

Use Cases

Implementing regulatory-compliant bi-temporal data models
Auditing database state at specific historical points for forensic debugging
Visualizing query provenance and interaction patterns in complex data pipelines

About

Key Features

Thread lineage analysis to trace data evolution across sessions
2 GitHub stars
Snapshot and timestamp-based DuckDB time-travel query syntax
Deterministic interaction color tracking via Gay.jl SplitMix64
GF(3) phase tracking for classifying query types (Plus, Minus, Ergodic)
Bi-temporal schema implementation for historical data versioning

Use Cases

Implementing regulatory-compliant bi-temporal data models
Auditing database state at specific historical points for forensic debugging
Visualizing query provenance and interaction patterns in complex data pipelines