TLDR Tech / Data
SQL Superpowers: Your Streaming Delta Lake Pipeline Has Been Quietly Falling Apart
High-throughput Delta Lake streams can silently degrade as millions of tiny files accumulate, even while the pipeline stays green. Query latency can jump tenfold, and storage costs can rise 40% or more because Spark and cloud storage spend most of their time on file metadata, not data. The fix is operational: schedule OPTIMIZE on recent partitions, use VACUUM to delete tombstones, and monitor transaction log growth and file sizes. Auto Compaction and Optimized Writes help, but don't replace scheduled compaction at extreme scale.
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