EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 25·5 min read
MySQL CDC to BigQuery: what periodic syncs miss, and how binlog avoids it
TL;DR
MySQL's Change Data Capture (CDC) using binary logs (binlog) provides a reliable method for syncing data to BigQuery, capturing all changes including deletes and intermediate updates. This approach overcomes the limitations of periodic syncs, ensuring data integrity and accuracy.
✦ Why It Matters
Implement binlog-based Change Data Capture to ensure accurate data syncing to BigQuery today.
Key Takeaways
- Switch to CDC for complete data capture from MySQL.
- Ensure MySQL is configured for binlog with ROW format.
- Verify replication user privileges for CDC access.
- Focus on data completeness in BigQuery, not just speed.
How It Works
CDC utilizes MySQL's binary log to capture every change in real-time, ensuring that all INSERT, UPDATE, and DELETE operations are logged with complete row states. This method eliminates the need for periodic scans, which can miss critical changes.