DataGrip Introspection Engine Architecture: Cache, Catalog Queries, and Incremental Refresh
DataGrip's introspection engine uses a background pipeline — dialect‑specific catalog queries, a normalized in‑memory model, persistent LevelDB/RocksDB cache, and incremental DDL detection — to deliver near‑instant code completion across 30+ databases without blocking the UI.
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