Is Logseq DB stable enough for migration?

Logseq DB is currently in alpha; this skill helps you assess risks, perform comprehensive backups, and manage potential data issues during the transition.

How do tags change during the migration to DB?

In the DB version, tags can be converted into 'Classes' which support inherited properties and more complex schemas compared to simple Markdown-based page references.

What is the primary benefit of migrating from MD to DB?

The DB version offers significantly better performance for large graphs, typed properties (dates, numbers), real-time sync, and a more robust querying engine.

Will my existing Datalog queries still work in the DB version?

Many attributes have changed (e.g., :block/content is now :block/title). This skill provides a mapping table and specific query updates to ensure your reporting continues to function.

Logseq DB Migration Expert

Name: Logseq DB Migration Expert
Author: C0ntr0lledCha0s

byC0ntr0lledCha0s

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データベース管理

Guides the transition of Logseq knowledge bases from Markdown files to the advanced SQLite database architecture.

概要

This skill provides expert-level assistance for migrating Logseq graphs from traditional Markdown (MD) storage to the new Database (DB) format. It helps users navigate the complexities of alpha-stage software by providing pre-migration audit checklists, strategy selection, and data transformation logic for tags, properties, and namespaces. Whether you are dealing with broken references or need to validate your data using Datalog queries post-migration, this skill ensures a structured and safer transition to Logseq's next-generation performance and schema capabilities.

主な機能

Troubleshooting for common sync, query, and property type issues
Tag-to-class conversion mapping and property type inference
Comprehensive pre-migration auditing for namespaces and links
Post-migration validation using specialized Datalog queries
1 GitHub stars
Automated migration strategy guidance and risk assessment

ユースケース

Upgrading legacy Markdown-based Logseq graphs to the SQLite version
Converting simple text-based tags into typed schema classes
Restructuring complex page hierarchies and nested namespaces

概要

主な機能

Troubleshooting for common sync, query, and property type issues
Tag-to-class conversion mapping and property type inference
Comprehensive pre-migration auditing for namespaces and links
Post-migration validation using specialized Datalog queries
1 GitHub stars
Automated migration strategy guidance and risk assessment

ユースケース

Upgrading legacy Markdown-based Logseq graphs to the SQLite version
Converting simple text-based tags into typed schema classes
Restructuring complex page hierarchies and nested namespaces