Table of Contents

  1. Introduction to SynchDB
    • The Challenge of Heterogeneous Database Synchronization
    • What is SynchDB?
  2. Understanding the Architecture of SynchDB
    • Debezium Runner (Java App)
    • SynchDB PostgreSQL Extension
    • Change Data Capture from Source Databases
    • Data Transformation and Integration
    • Role of JVM and JNI
  3. Setting Up SynchDB
    • Prerequisites and System Requirements
    • Installing Debezium and SynchDB
    • Configuring Source Database Connectors
  4. Step-by-Step Guide to Synchronize Data
    • Example: Synchronizing MySQL to PostgreSQL
    • Code Examples and Configuration Files
  5. Performance Tuning and Best Practices
    • Optimizing SynchDB Performance
    • Monitoring and Logging
    • Troubleshooting Common Issues
  6. Case Studies and Real-World Applications
    • SynchDB in E-commerce Platforms
    • Use in Financial Services
  7. The Future of SynchDB and Database Synchronization
    • Upcoming Features and Enhancements
    • Trends in Data Integration Technologies
  8. Conclusion
    • Recap of SynchDB’s Capabilities
    • Final Thoughts on Its Impact
  9. Resources and References
    • Official Documentation
    • Community Support and Forums

1. Introduction to SynchDB

In today’s data-driven world, organizations often deal with multiple databases from different vendors, each serving distinct purposes. Ensuring data consistency across these systems is crucial, especially in environments requiring real-time data integration. Traditional ETL processes and middleware solutions can introduce latency and complexity. SynchDB offers a native, efficient solution for real-time database synchronization directly within PostgreSQL.

What is SynchDB?

SynchDB is an open-source PostgreSQL extension developed by Hornetlabs Technology. It enables seamless data replication from heterogeneous databases like MySQL, MS SQL Server, and Oracle into PostgreSQL, leveraging Debezium’s change data capture capabilities for low-latency data integration.

2. Understanding the Architecture of SynchDB

To appreciate SynchDB’s capabilities, understanding its architecture is essential.

Debezium Runner (Java App)

Debezium captures changes from source databases (MySQL, SQL Server, Oracle) and streams them in JSON format. It runs within a Java Virtual Machine (JVM).

SynchDB PostgreSQL Extension

This extension integrates with PostgreSQL, handling change data ingestion. It includes background workers and custom functions for efficient synchronization.

Change Data Capture from Source Databases

Connectors capture change data from source databases, sending it to the Debezium runner in JSON format.

Data Transformation and Integration

JSON data is transformed into a format PostgreSQL can apply to its tables, involving data type conversions and schema mapping.

Role of JVM and JNI

SynchDB uses JVM for Debezium and might interact with PostgreSQL’s internal C-based functions via JNI for performance.

3. Setting Up SynchDB

Prerequisites and System Requirements

  • PostgreSQL (version 12 or higher)
  • Java Runtime Environment (JRE)
  • Source databases (MySQL, SQL Server, Oracle)
  • SynchDB extension from Hornetlabs GitHub

Installing Debezium and SynchDB

  1. Install Debezium connectors for source databases.
  2. Install SynchDB extension: 
    make
sudo make install

    Load extension:

    CREATE EXTENSION synchdb;

Configuring Source Database Connectors

Example MySQL connector configuration:

{
  "name": "mysql-connector",
  "config": {
    "connector.class": "io.debezium.connector.mysql.MySqlConnector",
    "database.hostname": "localhost",
    "database.port": "3306",
    "database.user": "debezium",
    "database.password": "dbz",
    "database.server.id": "184054",
    "database.server.name": "dbserver1",
    "database.include.list": "inventory",
    "table.include.list": "inventory.products"
  }
}

4. Step-by-Step Guide to Synchronize Data

Example: Synchronizing MySQL to PostgreSQL

  1. Prepare the Source Database (MySQL) 
    CREATE DATABASE inventory;
USE inventory;
CREATE TABLE products (id INT PRIMARY KEY, name VARCHAR(100), price DECIMAL(10,2));
INSERT INTO products (id, name, price) VALUES (1, 'Laptop', 999.99);

  2. Configure the MySQL Connector

    Use the provided configuration file.

  3. Start the Debezium Runner 
    debezium-launcher -k <path_to_connector_config>
  4. Configure SynchDB in PostgreSQL 
    CREATE EXTENSION synchdb;
SELECT synchdb_start_engine_bgw('mysql_connector', 'snapshot');
  5. Verify Synchronization 
    \dt
SELECT * FROM products;

5. Performance Tuning and Best Practices

Optimizing SynchDB Performance

  • Adjust GUC parameters (e.g., work_mem).
  • Use throttle control to prevent JVM memory issues.
  • Process changes in batches within transactions.

Monitoring and Logging

  • Use synchdb_stats_view and synchdb_state_view.
  • Enable detailed logging for troubleshooting.

Troubleshooting Common Issues

  • Monitor JVM memory usage.
  • Check PostgreSQL logs for connector errors.
  • Ensure data type and schema consistency.

6. Case Studies and Real-World Applications

SynchDB in E-commerce Platforms

Used to synchronize product catalogs from MySQL to PostgreSQL for analytics.

Use in Financial Services

Replicates transaction data from Oracle to PostgreSQL for real-time fraud detection.

7. The Future of SynchDB and Database Synchronization

Upcoming Features and Enhancements

  • Support for additional databases (e.g., MongoDB, Cassandra).
  • Improved error handling and conflict resolution.
  • Scalability enhancements for high-throughput environments.

Trends in Data Integration Technologies

SynchDB aligns with trends in real-time data integration and microservices architectures, offering a native, high-performance solution.

8. Conclusion

SynchDB is a powerful tool for real-time data synchronization, reducing latency and simplifying architecture. It is essential for maintaining data consistency across diverse systems, benefiting organizations in various industries.

9. Resources and References