typecheck.rs, schema/parser.rs, and query/parser.rs each had
~1000-line inline `mod tests` blocks that overshadowed the production
code in the file. Move each to a sibling `*_tests.rs` using
`#[path = "..."] mod tests;`.
- typecheck.rs: 2865 → 1708 lines; typecheck_tests.rs: 1156 lines
- schema/parser.rs: 1950 → 994 lines; parser_tests.rs: 955 lines
- query/parser.rs: 1737 → 803 lines; parser_tests.rs: 933 lines
No visibility change — the sibling module still has `use super::*`
access to crate-privates. No semantic edits beyond de-indenting by
4 spaces (mechanical). All 229 compiler tests green, identical
count to before.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Parameters declared with `?` (e.g. `$changelogUrl: String?`) now correctly
accept omission or explicit null in JSON input instead of requiring empty
strings as a workaround. Adds `Literal::Null` variant and threads it through
parameter parsing, type-checking, and Arrow array conversion.
https://claude.ai/code/session_014oGFKL7EVg1b2cyPgt9Gne
Add runtime support for aggregate functions (count, sum, avg, min, max)
with GROUP BY semantics, built on a single wide RecordBatch that
eliminates correlation tracking by construction.
Execution engine (exec/query.rs):
- Replace HashMap<String, RecordBatch> with Option<RecordBatch> where
columns are prefixed as <variable>.<property>
- NodeScan prefixes columns and cross-joins with existing batch
- Expand collects (src_row, dst_id) pairs, takes wide batch rows,
appends prefixed destination columns via hconcat
- Filter applies single mask to entire wide batch
- AntiJoin: fast-path returns BooleanArray mask; slow-path slices
one row for inner pipeline execution
Projection engine (exec/projection.rs):
- aggregate_return groups rows by non-aggregate key columns using
length-prefixed string encoding, computes per-group aggregates
- SUM accumulates into f64 to avoid integer overflow
- MIN/MAX support both numeric and string types
- Empty input returns count=0, others=null
Compiler (typecheck.rs):
- T8: split MIN/MAX from SUM/AVG — allow string arguments
- T9: non-aggregate expressions in aggregate queries must be
property accesses or variables
- SUM type inference returns Float64 (matching runtime)
Tests: 8 new integration tests covering grouped count, global count,
sum/avg/min/max per company, aggregate+order+limit, string min/max,
multi-hop aggregates, and edge cases.
https://claude.ai/code/session_019o5NRyYomgETFyd7hpiLey
Allow mutation queries to contain multiple sequential statements that
execute atomically within a single transactional run. This enables
patterns like inserting a node and its edges in one query:
query add_and_link($name: String, $age: I32, $friend: String) {
insert Person { name: $name, age: $age }
insert Knows { from: $name, to: $friend }
}
Changes span the full compiler-to-execution pipeline:
- Grammar: mutation_body = { mutation_stmt+ }
- AST: QueryDecl.mutations: Vec<Mutation>
- IR: MutationIR.ops: Vec<MutationOpIR>
- Execution: loop over ops, accumulate affected counts
Cross-statement visibility works because each statement's commit_updates
advances the manifest state, so subsequent statements see prior writes.
Atomicity comes from the existing run mechanism (begin_run/publish_run).
https://claude.ai/code/session_01E4VG2WXrZW8aeXFiqr8NwF