Server-side pagination for large result sets

- ResultStore: execute query, store batches server-side, serve pages on demand
- POST /query/paged → returns query_id + total_rows + page count (no rows)
- GET /query/page/{id}/{page}?size=100 → returns one page of rows
- RecordBatch slicing for efficient page extraction from Arrow batches
- LRU eviction: keeps 50 most recent query results in memory
- Tested: 100K rows → 1,000 pages of 100, any page fetchable by number
- Supervisor pattern: chunk results, serve on demand, retry-safe (idempotent GET)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

crates/ui/data/_catalog/manifests/b56694bb-f4f7-447d-b4d6-ac89103a6a3a.json

@@ -0,0 +1,23 @@
+{
+  "id": "b56694bb-f4f7-447d-b4d6-ac89103a6a3a",
+  "name": "call_log",
+  "schema_fingerprint": "auto",
+  "objects": [
+    {
+      "bucket": "data",
+      "key": "datasets/call_log.parquet",
+      "size_bytes": 35951077,
+      "created_at": "2026-03-28T01:54:15.457573021Z"
+    }
+  ],
+  "created_at": "2026-03-28T01:54:15.457573701Z",
+  "updated_at": "2026-03-28T01:54:15.457573701Z",
+  "description": "",
+  "owner": "",
+  "sensitivity": null,
+  "columns": [],
+  "lineage": null,
+  "freshness": null,
+  "tags": [],
+  "row_count": null
+}