The IR lowering previously emitted independent NodeScans for every binding
in a match clause, even when bindings were connected by traversals. This
created O(N×M) cross-joins followed by cycle-closing filters — correct but
extremely slow for large datasets.
Two changes fix this by design:
1. **Deferred bindings** — When multiple bindings are connected by
traversals, only the first-declared binding gets a NodeScan. The rest
are introduced by Expand operations, eliminating cross-joins entirely.
2. **Filter fusion into Expand** — Deferred binding filters are attached
directly to IROp::Expand (new `dst_filters` field) and pushed into
Lance SQL during hydrate_nodes(), so the storage layer skips
non-matching rows. Non-pushable filters (list-contains, FTS) fall back
to in-memory application after hconcat.
For a query like:
match { $p: Person $p worksAt $c $c: Company { name: "Acme" } }
Old plan: NodeScan($p) → NodeScan($c) → cross-join → Expand(__temp) → cycle-close
New plan: NodeScan($p) → Expand($p→$c, Lance SQL: id IN (...) AND name='Acme')
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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
The served OpenAPI spec now matches runtime behavior: when no bearer
tokens or policy are configured (open mode), the spec omits security
schemes and per-operation security requirements. When auth is active,
the full bearer_token security metadata is included.
Also fixes SecurityAddon to initialize components if absent, and
removes the redundant utoipa dev-dependency.
Adds 5 new tests covering open-mode vs auth-mode spec serving.
https://claude.ai/code/session_01NfoPVx21rZUQned1f7WpXY
Integrate utoipa 5 to auto-generate an OpenAPI 3.1 spec from the existing
Axum handlers and serde types. All 16 endpoints are annotated with path
metadata, request/response schemas, security requirements, and tags. A
public /openapi.json endpoint serves the spec without requiring auth.
Includes 59 tests covering path completeness, HTTP methods, schema fields,
enum variants, security scheme, path/query parameters, request bodies,
response references, and endpoint integration.
https://claude.ai/code/session_01NfoPVx21rZUQned1f7WpXY
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
