Best Practices to Backfill Materialized Views in ClickHouse ® Safely

Materialized views in ClickHouse can effectively process new data but leave historical data unprocessed, presenting challenges for large-scale backfilling due to high resource consumption, time constraints, and data consistency risks. The text discusses best practices for safe backfills, such as query optimization, settings tuning, and intelligent partitioning, while emphasizing the operational burdens of a DIY backfill approach compared to managed solutions like Tinybird. These managed solutions offer benefits like atomic backfills, automatic settings tuning, and on-demand compute isolation, which significantly reduce engineering time and risk. The text highlights the importance of balancing speed, safety, and resource impact during backfills, with real-world examples demonstrating substantial time reductions through optimization and parallelization. It outlines the complexities of backfilling, including resource exhaustion, potential data inconsistencies, and impacts on production infrastructure, and suggests that managed backfills are often justified for large-scale operations due to the significant time savings and reduced risk they offer.