ragflow/tools/scripts

MySQL Data Migration Script

A flexible MySQL data migration tool for migrating data between tables with stage-based execution.

Overview

This script provides stage-based data migration between MySQL tables. Currently supports:

• tenant_model_provider
• tenant_model_instance
• tenant_model

Migration Stages

Stage	Source Table	Target Table	Description
tenant_model_provider	tenant_llm	tenant_model_provider	Extracts distinct (tenant_id, llm_factory) pairs
tenant_model_instance	tenant_llm + tenant_model_provider	tenant_model_instance	Creates instances with distinct (tenant_id, llm_factory, api_key)
tenant_model	tenant_llm + tenant_model_provider + tenant_model_instance	tenant_model	Migrates model configurations (only status='0' records)

Stage Dependencies

tenant_model_provider (no dependencies)
        ↓
tenant_model_instance (depends on tenant_model_provider)
        ↓
tenant_model (depends on tenant_model_provider and tenant_model_instance)

Field Mapping Rules

tenant_model_provider

Target Field	Source	Rule
id	-	Random 32-character UUID1
provider_name	tenant_llm.llm_factory	Direct mapping
tenant_id	tenant_llm.tenant_id	Direct mapping

• Deduplication: Groups by (tenant_id, llm_factory) and takes distinct pairs

tenant_model_instance

Target Field	Source	Rule
id	-	Random 32-character UUID1
instance_name	tenant_llm.llm_factory	Direct mapping
provider_id	tenant_model_provider.id	JOIN on tenant_id and provider_name=llm_factory
api_key	tenant_llm.api_key	Direct mapping
status	tenant_llm.status	Direct mapping

• Deduplication: Groups by (tenant_id, llm_factory, api_key) and takes distinct records

tenant_model

Target Field	Source	Rule
id	-	Random 32-character UUID1
model_name	tenant_llm.llm_name	Direct mapping
provider_id	tenant_model_provider.id	JOIN on tenant_id and provider_name=llm_factory
instance_id	tenant_model_instance.id	JOIN on provider_id and api_key
model_type	tenant_llm.model_type	Direct mapping
status	tenant_llm.status	Direct mapping

• Filter: Only migrates records where tenant_llm.status='0'

Usage

Command Line Arguments

python mysql_migration.py [OPTIONS]

Option	Short	Description
--config	-c	Path to YAML config file (required)
--stages	-s	Comma-separated list of stages to run
--list-stages	-l	List available stages and exit
--execute	-e	Execute full migration (create tables and migrate data)
--create-table-only	-	Only create target tables, skip data migration

Execution Modes

The script has three mutually exclusive modes:

1. Dry-Run Mode (default): Check only, no database writes

   python mysql_migration.py --stages tenant_model_provider --config config.yaml
   

2. Create Table Only Mode: Create target tables without migrating data

   python mysql_migration.py --stages tenant_model_provider --config config.yaml --create-table-only
   

3. Execute Mode: Create tables and migrate data

   python mysql_migration.py --stages tenant_model_provider --config config.yaml --execute
   

Configuration File

Create a YAML configuration file with MySQL connection settings:

database:
  host: localhost
  port: 3306
  user: root
  password: your_password
  name: rag_flow

Alternative keys are also supported:

mysql:
  host: localhost
  port: 3306
  user: root
  password: your_password
  database: rag_flow

Examples

# List all available stages
python mysql_migration.py --list-stages

# Dry run single stage
python mysql_migration.py --stages tenant_model_provider --config /path/to/config.yaml

# Create tables only for multiple stages
python mysql_migration.py --stages tenant_model_provider,tenant_model_instance --config /path/to/config.yaml --create-table-only

# Execute full migration for all stages (in dependency order)
python mysql_migration.py --stages tenant_model_provider,tenant_model_instance,tenant_model --config /path/to/config.yaml --execute

Output Interpretation

Stage Execution Log

Each stage displays a header showing progress:

============================================================
Stage [1/3]: tenant_model_provider
============================================================

The stage then performs:

1. Check phase: Verifies source/target tables exist and counts records to migrate
2. Execute phase: Creates tables (if needed) and migrates data in batches

Dry-Run Output

In dry-run mode, the script outputs what it would do without writing:

[DRY RUN] Would insert 150 records
  instance_name=OpenAI, provider_id=abc123, api_key=***
  ... and 145 more records

Migration Summary

After all stages complete, a summary is printed:

============================================================
Migration Summary
============================================================
Total Duration: 2.45s
Total Rows Processed: 350
Tables Operated: tenant_model_provider, tenant_model_instance
------------------------------------------------------------
Stage Details:
  [tenant_model_provider] Tables: tenant_model_provider, Rows: 50, Duration: 0.82s
  [tenant_model_instance] Tables: tenant_model_instance, Rows: 300, Duration: 1.63s
============================================================

Common Messages

Message	Meaning
No new data to migrate	All records already exist in target table
[DRY RUN] Target table does not exist	Target table missing, use --execute or --create-table-onlyto create
Dependency table does not exist	Required table from previous stage missing
Inserted batch X: Y records	Successfully inserted batch of records