## Plan Runner
This crate implements an executor for (conjunctive) query plans.
The implementation is a CLI tool.
It reads a JSON plan (which currently is a DAG of scan and join nodes plus the input facts),
walks the DAG using the operators from [`query-ops`](../query-ops),
and prints the resulting relation as JSON to stdout.
### Pipeline
End-to-end, scenarios become runner output through three stages:
```text
tools/exporter/examples/*.scenario.json
└── (Haskell exporter; runs Geolog.DB.Plan.planConjunction
and Geolog.DB.InMemory.evalConjunctionPlanned as a self-check)
└── crates/plan-runner/fixtures/*.json (JSON IR; checked in)
└── (plan-runner; this crate)
└── stdout JSON, with row-for-row oracle check
```
The exporter (`tools/exporter`) is the only producer of runner IR today;
it's where atoms are planned and rejected if they don't fit the supported subset.
Fixtures are regenerated with `make export-fixtures`, and the full loop is `make examples`.
What happens inside the runner once a JSON plan arrives:
### Storage Backends
The CLI takes a `--backend` flag.
The `memory` backend is the pure in-memory path;
every other backend routes facts through the [`Storage`](../storage) trait
via `build_tables_via_storage`, then scans tables back out before executing.
| Backend | Storage | Location |
|------------------|-------------------|-----------------------|
| `memory` | none | n/a |
| `memory-storage` | `MemoryStorage` | in-process |
| `lmdb` | `LmdbStorage` | fresh tempdir per run |
| `redb` | `RedbStorage` | fresh tempdir per run |
| `fjall` | `FjallStorage` | fresh tempdir per run |
| `sqlite` | `SqliteStorage` | fresh tempdir per run |
| `geomerge` | `GeomergeStorage` | in-process |
> ⚠️ `--backend geomerge` requires a typed theory upfront, but the runner IR is untyped.
> The CLI infers column types (`PrimInt` or `PrimString`) from the first fact row per relation;
> relations with no facts default to `PrimString`.
> Works for every current fixture; future fixtures with mixed-type columns may fail at insert time.
### Execute a Query Plan
```sh
# Run a plan with the default backend (no storage)
cargo run -p plan-runner -- crates/plan-runner/fixtures/two_atom_join.json
# Run the same plan with every supported backend
cargo run -p plan-runner -- --backend memory-storage crates/plan-runner/fixtures/two_atom_join.json
cargo run -p plan-runner -- --backend lmdb crates/plan-runner/fixtures/two_atom_join.json
cargo run -p plan-runner -- --backend redb crates/plan-runner/fixtures/two_atom_join.json
cargo run -p plan-runner -- --backend fjall crates/plan-runner/fixtures/two_atom_join.json
cargo run -p plan-runner -- --backend sqlite crates/plan-runner/fixtures/two_atom_join.json
cargo run -p plan-runner -- --backend geomerge crates/plan-runner/fixtures/two_atom_join.json
```
A sample run:
```sh
$ plan-run crates/plan-runner/fixtures/two_atom_join.json
{"columns":["a","b","_w0_2"],"rows":[["node:1","node:2","edge:1"],["node:2","node:1","edge:2"]]}
```
The `_w_` columns are wildcards the exporter named so the runner can bind them.
The scenario's `expected_bindings` block names only the variables the test cares about,
and `verify` projects the runner output to that subset before comparing as a multiset.
### Run the Tests
```sh
cargo test -p plan-runner
```
### Notes
- **IR contract.**
The runner is backend-agnostic and frontend-agnostic.
It consumes JSON in the shape documented in `src/lib.rs` and produces a binding relation.
Anything that emits the same JSON can drive it.
- **No optimizer.**
Plans are executed as written.
Node ordering, join shape, and antijoin scheduling are all the producer's responsibility.
This crate's job ends at faithful execution of the IR.
- **Wildcard columns survive.**
`scan_atom` keeps every distinct variable that appears in the pattern,
including the exporter's synthetic `_w_` names.
The runner does not project them out;
oracle verification handles that on the comparison side.
- **Bulk, not streaming.**
Each node materializes its full output as a `Relation`.
This matches `query-ops`' execution model;
it's not designed for incremental or maintained-view workloads.