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Apache Iceberg Maintenance Tools: From Spark Procedures to Autonomous Control Planes
Every write to an Apache Iceberg table creates a new snapshot. Every snapshot pins references to data files. Over weeks of production workloads, this produces thousands of small files, bloated metadata, orphaned storage artifacts, and dangling delete records — all of which silently degrade query performance, inflate storage costs, and slow down every engine connected to the table.
The fix requires five distinct maintenance operations, executed in the right order, at the right frequency, acros...
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