Iceberg's hidden partitioning separates physical layout from user queries using transform functions. Here is how it works and why it eliminates accidental full scans.
Query optimizers transform SQL into execution plans using rule-based rewrites, cost-based search, and adaptive runtime adjustments. Here is how each approach works.
Iceberg lets you change partition schemes without rewriting data. Here is how partition evolution works internally and why Hive-style partitioning could not do this.
B-trees balance reads and writes for OLTP. LSM trees maximize write throughput. Bitmap indexes accelerate OLAP filtering. Here is when to use each.
