amduat-api/notes/Unified Query Execution Model (ASL + TGK).md

NOTE: Superseded by tier1 TGK/1 and vendor/amduat/tier1/tgk-1-core.md; retained for historical context.

Absolutely — here’s a **draft for a unified query execution model** over the merged ENC-ASL-TGK-INDEX. It treats ASL artifacts and TGK edges uniformly for queries, respects snapshots, and preserves determinism.

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# Unified Query Execution Model (ASL + TGK)

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## 1. Purpose

This model defines how **queries over ASL artifacts and TGK edges** are executed:

* Snapshot-safe
* Deterministic per log sequence
* Able to leverage acceleration structures (filters, routing, SIMD)
* Able to support DAG program projections and trace graph traversals

It does **not** redefine core semantics:

* ENC-ASL-CORE defines artifacts
* ENC-TGK-CORE defines edges
* ENC-ASL-TGK-INDEX defines references and acceleration

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## 2. Query Abstraction

A **query** Q is defined as:

```
Q = {
    snapshot: S,
    constraints: C,        // filters on artifacts, edges, or nodes
    projections: P,        // select returned fields
    traversal: optional,   // TGK edge expansion
    aggregation: optional  // count, union, etc.
}
```

* **snapshot**: the log sequence cutoff
* **constraints**: logical predicate over index fields (artifact type, edge type, node ID)
* **projections**: the output columns
* **traversal**: optional TGK graph expansion
* **aggregation**: optional summarization

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## 3. Execution Stages

### 3.1 Index Scan

1. Determine **segments visible** for snapshot `S`
2. For each segment:

   * Use **filters** to eliminate segments/records (advisory)
   * Decode **ASL artifact references** and **TGK edge references**
   * Skip tombstoned or shadowed records

### 3.2 Constraint Evaluation

* Evaluate **canonical constraints**:

  * Artifact ID, type tag
  * Edge ID, edge type, role
  * Node ID (from/to)
* Filters are advisory; exact check required

### 3.3 Traversal Expansion (Optional)

For TGK edges:

1. Expand edges from a set of nodes
2. Apply **snapshot constraints** to prevent including edges outside S
3. Produce DAG projections or downstream artifact IDs

### 3.4 Projection and Aggregation

* Apply **projection fields** as requested
* Optionally aggregate or reduce results
* Maintain **deterministic order** by logseq ascending, then canonical key

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## 4. Routing and SIMD Acceleration

* SIMD may evaluate **multiple routing keys in parallel**
* Routing keys are precomputed in ENC-ASL-TGK-INDEX optional sections
* Acceleration **cannot change semantics**
* Parallel scans **must be deterministic**: order of records in output = logseq + canonical key

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## 5. Snapshot Semantics

* Segment is visible if `segment.logseq_min ≤ S`
* Record is visible if `record.logseq ≤ S`
* Tombstones shadow earlier records
* Deterministic filtering required

---

## 6. Traversal Semantics (TGK edges)

* Given a set of start nodes `N_start`:

  * Fetch edges with `from[] ∩ N_start ≠ ∅` (or `to[]` depending on direction)
  * Each edge expanded **once per logseq**
  * Expansion obeys snapshot S
  * Edge properties (type, role) used in filtering but not for identity

* Optional recursion depth `d` may be specified for DAG traversal

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## 7. Unified Query API (Conceptual)

```
result_set = query(
    snapshot=S,
    artifact_constraints={type_tag=42},
    edge_constraints={edge_type=7, role=FROM},
    start_nodes=[node1, node2],
    projections=[artifact_id, tgk_edge_id, node_id],
    traversal_depth=3,
    aggregation='count'
)
```

* Returns combined **artifact + TGK edge references**
* Traversal automatically expands TGK edges
* Aggregation and projection deterministic

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## 8. Determinism Guarantees

1. **Same snapshot + same constraints → identical results**
2. **Logseq ascending + canonical key tie-breaks**
3. Filters, shards, SIMD do **not affect result set**
4. Traversal expansion deterministic per DAG rules

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## 9. Garbage Collection Safety

* Records and edges **must not be removed** if they appear in snapshot `S` or any **reachable traversal**
* Optional: **tombstone records** prevent accidental resurrection

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## 10. Federation Considerations (Non-normative)

* Domains may restrict **visibility of artifacts/edges**
* Queries may include **domain filters**
* Canonical IDs remain stable across domains

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## 11. Summary

The unified query execution model:

* Provides **single API over ASL + TGK references**
* Fully respects **snapshot determinism**
* Supports **DAG traversal over TGK edges**
* Leverages **ENC-ASL-TGK-INDEX acceleration**
* Guarantees **semantic consistency** without re-encoding core objects

---

Next step could be:

* **Formal execution plan specification**: physical operators, filter pushdown, traversal operators
* **C-struct definitions for query results**, mapping directly to ENC-ASL-TGK-INDEX

Do you want me to draft that next?