Commit d4d0503
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core: speed up the analysis catalog with prepared statements
The core catalog backs every lookup with a query against its in-memory
SQLite database, and handed the raw *sql.DB to the generated queries. Go's
database/sql prepares and discards a statement per call, so SQLite re-parsed
and re-planned the same dozen queries thousands of times per run: profiling
analyzer.Prepare put 65% of samples inside sqlite3Parser and 85% under
database/sql dispatch, with the analyzer itself barely on the profile.
- Prepare each catalog statement once and rebind it, for both the seed path
and the analyzer's lookups.
- Install dialect seeds in a single transaction, and drop journalling for a
database that is rebuilt from scratch on every run.
- Pin the pool to one connection. Each ":memory:" connection is its own
empty database, so a second one would have seen a catalog with no tables
in it — a latent bug under any concurrent use.
On the analyzer side, resolving a column no longer allocates a candidate
slice per reference, the scope holds the catalog's column list instead of
copying it into a scope-local type, a target's field list is flattened once
instead of three times, and parameters are tracked by value.
Analyzing 500 GoogleSQL queries drops from 181ms to 82ms end to end, and 100
queries from 58ms to 34ms, with byte-identical output on GoogleSQL and
ClickHouse. Microbenchmarks (internal/core/analyzer/bench_test.go):
CatalogNew 6001532 ns/op (catalog + dialect seed)
CatalogNew 2863319 ns/op
Prepare 1579238 ns/op (5 statements, warm catalog)
Prepare 398200 ns/op
Lookup volume is unchanged at 13 catalog queries per statement, and analysis
still allocates ~400 times per statement — nearly all of it database/sql
scanning a row per lookup. Memoizing lookups removes both, but needs cache
invalidation and a read-only contract on the slices the catalog returns;
that is not worth it for an in-memory database, so it is left out.
internal/core had no tests. catalog_test.go covers lookups across catalog
mutations and concurrent reads against the pinned connection;
TestCatalogQueryVolume records queries and allocations per statement and
fails on a lookup added inside a loop.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Fp7UGoiFnUwK9ZkDBoGy7u1 parent 673f56d commit d4d0503
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