# Query Execution, Mutations, and Loading
## Query execution (`exec/query.rs`)
Pipeline:
1. Parse + typecheck via `omnigraph-compiler`.
2. Lower to IR.
3. If `Expand` or `AntiJoin` is present, build (or fetch from `RuntimeCache`) a `GraphIndex`.
4. Run `execute_query` against the snapshot.
### Read flow — sequence
```mermaid
sequenceDiagram
autonumber
participant client as Client
participant og as Omnigraph::query
(query.rs:7)
participant cmp as omnigraph-compiler
participant exec as execute_query
(query.rs:347)
participant gi as GraphIndex
(RuntimeCache)
participant ts as table_store
participant lance as Lance scanner
client->>og: query(target, source, name, params)
og->>og: ensure_schema_state_valid()
resolve target → snapshot
og->>cmp: parse + typecheck_query (typecheck.rs:83)
cmp-->>og: CheckedQuery
og->>cmp: lower_query (lower.rs:11)
cmp-->>og: QueryIR (pipeline of IROp)
og->>exec: extract_search_mode + dispatch (query.rs:110)
exec->>gi: build / fetch GraphIndex
(if Expand or AntiJoin)
gi-->>exec: CSR / CSC topology
loop for each IROp in pipeline
exec->>ts: scan with predicate / SIP
ts->>lance: filter · nearest · full_text_search
lance-->>ts: Stream of RecordBatch
ts-->>exec: RecordBatch stream
exec->>exec: factorize · expand · fuse · project
end
exec-->>og: QueryResult (RecordBatches)
og-->>client: serialized result
```
**Code paths:**
- Entry: `Omnigraph::query` at `crates/omnigraph/src/exec/query.rs:7`
- Search-mode extraction: `extract_search_mode` at `crates/omnigraph/src/exec/query.rs:110`
- Pipeline runner: `execute_query` at `crates/omnigraph/src/exec/query.rs:347`
- RRF fan-out: `execute_rrf_query` at `crates/omnigraph/src/exec/query.rs:393`
- Per-source-row BFS: `execute_expand` at `crates/omnigraph/src/exec/query.rs:675`
- Lance scan + pushdown: `execute_node_scan` at `crates/omnigraph/src/exec/query.rs:1027`
- Filter → SQL pushdown: `build_lance_filter` at `crates/omnigraph/src/exec/query.rs:1158`
### Multi-modal search modes (`SearchMode`)
The executor recognizes three modes that may be combined in a single query:
- **`nearest`** — vector ANN (uses Lance vector index; `LIMIT` required).
- **`bm25`** — BM25 over an inverted index.
- **`rrf`** — Reciprocal Rank Fusion of two rankings, with k (default 60).
Hybrid example: `order { rrf(nearest($d.embedding, $q), bm25($d.body, $q_text)) desc } limit 20`.
### Joins / set operations
- Joins are implicit: MATCH bindings + traversals are implemented as scans + CSR/CSC lookups.
- `not { … }` lowers to an `AntiJoin` over the inner pipeline.
### Scoped reads
- `query(target, source, name, params)` — at any branch or snapshot.
- `run_query_at(version, …)` — direct historical query at a manifest version.
### Concurrency
- Snapshot isolation per query: all reads inside a query use the same `Snapshot`.
- Readers and writers on different branches don't block each other.
## Mutation execution (`exec/mutation.rs`)
Resolves expression values to literals, converts to typed Arrow arrays (`literal_to_typed_array(lit, DataType, num_rows)`), then writes:
- `insert` → Lance `WriteMode::Append`
- `update` → Lance `merge_insert(WhenMatched::Update)`
- `delete` → Lance `merge_insert(WhenMatched::Delete)` (logical) or filtered overwrite.
Multi-statement mutations are atomic at the manifest commit boundary.
### Mutation flow — sequence
```mermaid
sequenceDiagram
autonumber
participant client as Client
participant og as Omnigraph::mutate
(mutation.rs:511)
participant cmp as omnigraph-compiler
participant ts as table_store
participant lance as Lance dataset
participant mr as ManifestRepo
(manifest.rs:280)
participant manifest as __manifest/
client->>og: mutate(target, source, name, params)
og->>cmp: parse + typecheck_query
cmp-->>og: CheckedQuery (Mutation IR)
og->>og: resolve expression literals
literal_to_typed_array(lit, type, n)
loop for each mutation statement
alt insert
og->>ts: append RecordBatches
ts->>lance: WriteMode::Append → new fragment(s)
else update
og->>ts: merge_insert keyed by id
ts->>lance: merge_insert(WhenMatched::Update)
else delete
og->>ts: merge_insert with delete predicate
ts->>lance: merge_insert(WhenMatched::Delete)
end
lance-->>ts: new dataset version
ts-->>og: SubTableUpdate (key, version, row_count)
end
og->>mr: commit(updates)
mr->>manifest: append rows
(table_version per sub-table)
manifest-->>mr: new graph-manifest version
mr-->>og: graph version
og-->>client: MutationResult
```
**Code paths:**
- Entry: `Omnigraph::mutate` at `crates/omnigraph/src/exec/mutation.rs:511`
- Actor-attributed variant: `Omnigraph::mutate_as` at `crates/omnigraph/src/exec/mutation.rs:522`
- Manifest commit: `ManifestRepo::commit` at `crates/omnigraph/src/db/manifest.rs:280`
The whole mutation — every statement, every affected sub-table — publishes through one call to `ManifestRepo::commit`. That single append to `__manifest` is what gives multi-statement mutations their atomicity guarantee (per [`docs/invariants.md`](invariants.md) §VI.26).
## Bulk loader (`loader/mod.rs`)
- **JSONL only** in v1, with two record shapes:
- Node: `{"type":"NodeType", "data":{…}}`
- Edge: `{"edge":"EdgeType", "from":"src_id", "to":"dst_id", "data":{…}}`
- Lines starting with `//` are treated as comments.
- Schema validation on every row (typecheck, required props, blob base64 decoding).
- Edge endpoint resolution by node `@key`.
## Load modes (`LoadMode`)
| Mode | Semantics |
|---|---|
| `Overwrite` | Replace all data in the target tables on the branch |
| `Append` | Strict insert; duplicates error |
| `Merge` | Upsert by id (`merge_insert`) |
## `load` vs `ingest`
- `load(branch, data, mode)` — direct load to a branch.
- `ingest(branch, from, data, mode)` — branch-creating, transactional load:
1. If target advanced since the run started, fork a fresh run branch from `from`.
2. Load into the run branch (Append).
3. If target hasn't moved, fast-publish; otherwise abort.
- Returns `IngestResult { branch, base_branch, branch_created, mode, tables[] }`.
- `ingest_as(actor_id)` records the actor on the resulting commit.
## Embeddings during load
If a node type has `@embed` properties, the loader calls the engine embedding client (Gemini, RETRIEVAL_DOCUMENT) per row to populate the vector column. See [embeddings.md](embeddings.md).