mirror of
https://github.com/infiniflow/ragflow.git
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500 lines
16 KiB
Markdown
500 lines
16 KiB
Markdown
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# RAGFlow ES to OceanBase Migration Tool
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A CLI tool for migrating RAGFlow data from Elasticsearch to OceanBase. This tool is specifically designed for RAGFlow's data structure and handles schema conversion, vector data mapping, batch import, and resume capability.
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## Features
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- **RAGFlow-Specific**: Designed for RAGFlow's fixed data schema
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- **ES 8+ Support**: Uses `search_after` API for efficient data scrolling
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- **Vector Support**: Auto-detects vector field dimensions from ES mapping
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- **Batch Processing**: Configurable batch size for optimal performance
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- **Resume Capability**: Save and resume migration progress
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- **Data Consistency Validation**: Compare document counts and sample data
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- **Migration Report Generation**: Generate detailed migration reports
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## Quick Start
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This section provides a complete guide to verify the migration works correctly with a real RAGFlow deployment.
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### Prerequisites
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- RAGFlow source code cloned
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- Docker and Docker Compose installed
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- This migration tool installed (`uv pip install -e .`)
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### Step 1: Start RAGFlow with Elasticsearch Backend
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First, start RAGFlow using Elasticsearch as the document storage backend (default configuration).
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```bash
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# Navigate to RAGFlow docker directory
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cd /path/to/ragflow/docker
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# Ensure DOC_ENGINE=elasticsearch in .env (this is the default)
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# DOC_ENGINE=elasticsearch
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# Start RAGFlow with Elasticsearch (--profile cpu for CPU, --profile gpu for GPU)
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docker compose --profile elasticsearch --profile cpu up -d
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# Wait for services to be ready (this may take a few minutes)
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docker compose ps
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# Check ES is running
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curl -X GET "http://localhost:9200/_cluster/health?pretty"
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```
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### Step 2: Create Test Data in RAGFlow
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1. Open RAGFlow Web UI: http://localhost:9380
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2. Create a new Knowledge Base
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3. Upload some test documents (PDF, TXT, DOCX, etc.)
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4. Wait for the documents to be parsed and indexed
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5. Test the knowledge base with some queries to ensure it works
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### Step 3: Verify ES Data (Optional)
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Before migration, verify the data exists in Elasticsearch. This step is important to ensure you have a baseline for comparison after migration.
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```bash
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# Navigate to migration tool directory (from ragflow root)
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cd tools/es-to-oceanbase-migration
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# Activate the virtual environment if not already done
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source .venv/bin/activate
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# Check connection and list indices
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es-ob-migrate status --es-host localhost --es-port 9200
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# First, find your actual index name (pattern: ragflow_{tenant_id})
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curl -X GET "http://localhost:9200/_cat/indices/ragflow_*?v"
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# List all knowledge bases in the index
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# Replace ragflow_{tenant_id} with your actual index from the curl output above
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es-ob-migrate list-kb --es-host localhost --es-port 9200 --index ragflow_{tenant_id}
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# View sample documents
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es-ob-migrate sample --es-host localhost --es-port 9200 --index ragflow_{tenant_id} --size 5
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# Check schema
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es-ob-migrate schema --es-host localhost --es-port 9200 --index ragflow_{tenant_id}
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```
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### Step 4: Start OceanBase for Migration
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Start RAGFlow's OceanBase service as the migration target:
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```bash
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# Navigate to ragflow docker directory (from ragflow root)
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cd ../docker
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# Start only OceanBase service from RAGFlow docker compose
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docker compose --profile oceanbase up -d
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# Wait for OceanBase to be ready
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docker compose logs -f oceanbase
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```
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### Step 5: Run Migration
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Execute the migration from Elasticsearch to OceanBase:
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```bash
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cd ../tools/es-to-oceanbase-migration
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# Option A: Migrate ALL ragflow_* indices (Recommended)
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# If --index and --table are omitted, the tool auto-discovers all ragflow_* indices
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es-ob-migrate migrate \
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--es-host localhost --es-port 9200 \
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--ob-host localhost --ob-port 2881 \
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--ob-user "root@ragflow" --ob-password "infini_rag_flow" \
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--ob-database ragflow_doc \
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--batch-size 1000 \
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--verify
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# Option B: Migrate a specific index
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# Use the SAME name for both --index and --table
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# The index name pattern is: ragflow_{tenant_id}
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# Find your tenant_id from Step 3's curl output
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es-ob-migrate migrate \
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--es-host localhost --es-port 9200 \
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--ob-host localhost --ob-port 2881 \
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--ob-user "root@ragflow" --ob-password "infini_rag_flow" \
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--ob-database ragflow_doc \
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--index ragflow_{tenant_id} \
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--table ragflow_{tenant_id} \
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--batch-size 1000 \
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--verify
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```
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Expected output:
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```
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RAGFlow ES to OceanBase Migration
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Source: localhost:9200/ragflow_{tenant_id}
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Target: localhost:2881/ragflow_doc.ragflow_{tenant_id}
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Step 1: Checking connections...
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ES cluster status: green
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OceanBase connection: OK (version: 4.3.5.1)
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Step 2: Analyzing ES index...
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Auto-detected vector dimension: 1024
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Known RAGFlow fields: 25
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Total documents: 1,234
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Step 3: Creating OceanBase table...
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Created table 'ragflow_{tenant_id}' with RAGFlow schema
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Step 4: Migrating data...
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Migrating... ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 1,234/1,234
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Step 5: Verifying migration...
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✓ Document counts match: 1,234
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✓ Sample verification: 100/100 matched
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Migration completed successfully!
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Total: 1,234 documents
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Migrated: 1,234 documents
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Failed: 0 documents
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Duration: 45.2 seconds
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```
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### Step 6: Stop RAGFlow and Switch to OceanBase Backend
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```bash
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# Navigate to ragflow docker directory
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cd ../../docker
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# Stop only Elasticsearch and RAGFlow (but keep OceanBase running)
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docker compose --profile elasticsearch --profile cpu down
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# Edit .env file, change:
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# DOC_ENGINE=elasticsearch -> DOC_ENGINE=oceanbase
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#
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# The OceanBase connection settings are already configured by default in .env
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```
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### Step 7: Start RAGFlow with OceanBase Backend
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```bash
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# OceanBase should still be running from Step 4
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# Start RAGFlow with OceanBase profile (OceanBase is already running)
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docker compose --profile oceanbase --profile cpu up -d
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# Wait for services to start
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docker compose ps
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# Check logs for any errors
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docker compose logs -f ragflow-cpu
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```
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### Step 8: Data Integrity Verification (Optional)
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Run the verification command to compare ES and OceanBase data:
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```bash
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es-ob-migrate verify \
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--es-host localhost --es-port 9200 \
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--ob-host localhost --ob-port 2881 \
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--ob-user "root@ragflow" --ob-password "infini_rag_flow" \
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--ob-database ragflow_doc \
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--index ragflow_{tenant_id} \
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--table ragflow_{tenant_id} \
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--sample-size 100
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```
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Expected output:
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```
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╭─────────────────────────────────────────────────────────────╮
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│ Migration Verification Report │
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├─────────────────────────────────────────────────────────────┤
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│ ES Index: ragflow_{tenant_id} │
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│ OB Table: ragflow_{tenant_id} │
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├─────────────────────────────────────────────────────────────┤
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│ Document Counts │
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│ ES: 1,234 │
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│ OB: 1,234 │
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│ Match: ✓ Yes │
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├─────────────────────────────────────────────────────────────┤
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│ Sample Verification (100 documents) │
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│ Matched: 100 │
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│ Match Rate: 100.0% │
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├─────────────────────────────────────────────────────────────┤
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│ Result: ✓ PASSED │
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╰─────────────────────────────────────────────────────────────╯
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```
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### Step 9: Verify RAGFlow Works with OceanBase
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1. Open RAGFlow Web UI: http://localhost:9380
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2. Navigate to your Knowledge Base
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3. Try the same queries you tested before migration
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## CLI Reference
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### `es-ob-migrate migrate`
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Run data migration from Elasticsearch to OceanBase.
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| Option | Default | Description |
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|--------|---------|-------------|
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| `--es-host` | localhost | Elasticsearch host |
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| `--es-port` | 9200 | Elasticsearch port |
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| `--es-user` | None | ES username (if auth required) |
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| `--es-password` | None | ES password |
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| `--ob-host` | localhost | OceanBase host |
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| `--ob-port` | 2881 | OceanBase port |
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| `--ob-user` | root@test | OceanBase user (format: user@tenant) |
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| `--ob-password` | "" | OceanBase password |
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| `--ob-database` | test | OceanBase database name |
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| `-i, --index` | None | Source ES index (omit to migrate all ragflow_* indices) |
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| `-t, --table` | None | Target OB table (omit to use same name as index) |
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| `--batch-size` | 1000 | Documents per batch |
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| `--resume` | False | Resume from previous progress |
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| `--verify/--no-verify` | True | Verify after migration |
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**Example:**
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```bash
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# Migrate all ragflow_* indices
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es-ob-migrate migrate \
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--es-host localhost --es-port 9200 \
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--ob-host localhost --ob-port 2881 \
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--ob-user "root@ragflow" --ob-password "infini_rag_flow" \
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--ob-database ragflow_doc
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# Migrate a specific index
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es-ob-migrate migrate \
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--es-host localhost --es-port 9200 \
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--ob-host localhost --ob-port 2881 \
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--ob-user "root@ragflow" --ob-password "infini_rag_flow" \
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--ob-database ragflow_doc \
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--index ragflow_abc123 --table ragflow_abc123
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# Resume interrupted migration
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es-ob-migrate migrate \
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--es-host localhost --es-port 9200 \
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--ob-host localhost --ob-port 2881 \
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--ob-user "root@ragflow" --ob-password "infini_rag_flow" \
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--ob-database ragflow_doc \
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--index ragflow_abc123 --table ragflow_abc123 \
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--resume
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```
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**Resume Feature:**
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Migration progress is automatically saved to `.migration_progress/` directory. If migration is interrupted (network error, timeout, etc.), use `--resume` to continue from where it stopped:
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- Progress file: `.migration_progress/{index_name}_progress.json`
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- Contains: total count, migrated count, last document ID, timestamp
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- On resume: skips already migrated documents, continues from last position
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**Output:**
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```
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RAGFlow ES to OceanBase Migration
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Source: localhost:9200/ragflow_abc123
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Target: localhost:2881/ragflow_doc.ragflow_abc123
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Step 1: Checking connections...
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ES cluster status: green
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OceanBase connection: OK
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Step 2: Analyzing ES index...
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Auto-detected vector dimension: 1024
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Total documents: 1,234
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Step 3: Creating OceanBase table...
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Created table 'ragflow_abc123' with RAGFlow schema
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Step 4: Migrating data...
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Migrating... ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 1,234/1,234
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Migration completed successfully!
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Total: 1,234 documents
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Duration: 45.2 seconds
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```
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---
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### `es-ob-migrate list-indices`
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List all RAGFlow indices (`ragflow_*`) in Elasticsearch.
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**Example:**
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```bash
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es-ob-migrate list-indices --es-host localhost --es-port 9200
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```
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**Output:**
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```
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RAGFlow Indices in Elasticsearch:
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Index Name Documents Type
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ragflow_abc123def456789 1234 Document Chunks
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ragflow_doc_meta_abc123def456789 56 Document Metadata
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Total: 2 ragflow_* indices found
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```
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---
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### `es-ob-migrate schema`
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Preview schema analysis from ES mapping.
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**Example:**
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```bash
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es-ob-migrate schema --es-host localhost --es-port 9200 --index ragflow_abc123
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```
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**Output:**
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```
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RAGFlow Schema Analysis for index: ragflow_abc123
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Vector Fields:
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q_1024_vec: dense_vector (dim=1024)
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Known RAGFlow Fields (25):
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id, kb_id, doc_id, docnm_kwd, content_with_weight, content_ltks,
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available_int, important_kwd, question_kwd, tag_kwd, page_num_int...
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Unknown Fields (stored in 'extra' column):
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custom_field_1, custom_field_2
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```
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---
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### `es-ob-migrate verify`
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Verify migration data consistency between ES and OceanBase.
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**Example:**
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```bash
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es-ob-migrate verify \
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--es-host localhost --es-port 9200 \
|
||
|
|
--ob-host localhost --ob-port 2881 \
|
||
|
|
--ob-user "root@ragflow" --ob-password "infini_rag_flow" \
|
||
|
|
--ob-database ragflow_doc \
|
||
|
|
--index ragflow_abc123 --table ragflow_abc123 \
|
||
|
|
--sample-size 100
|
||
|
|
```
|
||
|
|
|
||
|
|
**Output:**
|
||
|
|
|
||
|
|
```
|
||
|
|
╭─────────────────────────────────────────────────────────────╮
|
||
|
|
│ Migration Verification Report │
|
||
|
|
├─────────────────────────────────────────────────────────────┤
|
||
|
|
│ ES Index: ragflow_abc123 │
|
||
|
|
│ OB Table: ragflow_abc123 │
|
||
|
|
├─────────────────────────────────────────────────────────────┤
|
||
|
|
│ Document Counts │
|
||
|
|
│ ES: 1,234 │
|
||
|
|
│ OB: 1,234 │
|
||
|
|
│ Match: ✓ Yes │
|
||
|
|
├─────────────────────────────────────────────────────────────┤
|
||
|
|
│ Sample Verification (100 documents) │
|
||
|
|
│ Matched: 100 │
|
||
|
|
│ Match Rate: 100.0% │
|
||
|
|
├─────────────────────────────────────────────────────────────┤
|
||
|
|
│ Result: ✓ PASSED │
|
||
|
|
╰─────────────────────────────────────────────────────────────╯
|
||
|
|
```
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
### `es-ob-migrate list-kb`
|
||
|
|
|
||
|
|
List all knowledge bases in an ES index.
|
||
|
|
|
||
|
|
**Example:**
|
||
|
|
|
||
|
|
```bash
|
||
|
|
es-ob-migrate list-kb --es-host localhost --es-port 9200 --index ragflow_abc123
|
||
|
|
```
|
||
|
|
|
||
|
|
**Output:**
|
||
|
|
|
||
|
|
```
|
||
|
|
Knowledge Bases in index 'ragflow_abc123':
|
||
|
|
|
||
|
|
KB ID Documents
|
||
|
|
kb_001_finance_docs 456
|
||
|
|
kb_002_technical_manual 321
|
||
|
|
kb_003_product_faq 457
|
||
|
|
|
||
|
|
Total: 3 knowledge bases, 1234 documents
|
||
|
|
```
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
### `es-ob-migrate sample`
|
||
|
|
|
||
|
|
Show sample documents from ES index.
|
||
|
|
|
||
|
|
**Example:**
|
||
|
|
|
||
|
|
```bash
|
||
|
|
es-ob-migrate sample --es-host localhost --es-port 9200 --index ragflow_abc123 --size 2
|
||
|
|
```
|
||
|
|
|
||
|
|
**Output:**
|
||
|
|
|
||
|
|
```
|
||
|
|
Sample Documents from 'ragflow_abc123':
|
||
|
|
|
||
|
|
Document 1:
|
||
|
|
id: chunk_001_abc123
|
||
|
|
kb_id: kb_001_finance_docs
|
||
|
|
doc_id: doc_001
|
||
|
|
docnm_kwd: quarterly_report.pdf
|
||
|
|
content_with_weight: The company reported Q3 revenue of $1.2B...
|
||
|
|
available_int: 1
|
||
|
|
|
||
|
|
Document 2:
|
||
|
|
id: chunk_002_def456
|
||
|
|
kb_id: kb_001_finance_docs
|
||
|
|
doc_id: doc_001
|
||
|
|
docnm_kwd: quarterly_report.pdf
|
||
|
|
content_with_weight: Operating expenses decreased by 5%...
|
||
|
|
available_int: 1
|
||
|
|
```
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
### `es-ob-migrate status`
|
||
|
|
|
||
|
|
Check connection status to ES and OceanBase.
|
||
|
|
|
||
|
|
**Example:**
|
||
|
|
|
||
|
|
```bash
|
||
|
|
es-ob-migrate status \
|
||
|
|
--es-host localhost --es-port 9200 \
|
||
|
|
--ob-host localhost --ob-port 2881 \
|
||
|
|
--ob-user "root@ragflow" --ob-password "infini_rag_flow"
|
||
|
|
```
|
||
|
|
|
||
|
|
**Output:**
|
||
|
|
|
||
|
|
```
|
||
|
|
Connection Status:
|
||
|
|
|
||
|
|
Elasticsearch:
|
||
|
|
Host: localhost:9200
|
||
|
|
Status: ✓ Connected
|
||
|
|
Cluster: ragflow-cluster
|
||
|
|
Version: 8.11.0
|
||
|
|
Indices: 5
|
||
|
|
|
||
|
|
OceanBase:
|
||
|
|
Host: localhost:2881
|
||
|
|
Status: ✓ Connected
|
||
|
|
Version: 4.3.5.1
|
||
|
|
```
|