feat: support optimize indices in sync API (#1769)

Signed-off-by: BubbleCal <bubble-cal@outlook.com>

python/python/tests/test_table.py

@@ -1223,6 +1223,54 @@ async def test_time_travel(db_async: AsyncConnection):
         await table.restore()
 
 
+def test_sync_optimize(db):
+    table = LanceTable.create(
+        db,
+        "test",
+        data=[
+            {"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
+            {"vector": [5.9, 26.5], "item": "bar", "price": 20.0},
+        ],
+    )
+
+    table.create_scalar_index("price", index_type="BTREE")
+    stats = table.to_lance().stats.index_stats("price_idx")
+    assert stats["num_indexed_rows"] == 2
+
+    table.add([{"vector": [2.0, 2.0], "item": "baz", "price": 30.0}])
+    assert table.count_rows() == 3
+    table.optimize()
+    stats = table.to_lance().stats.index_stats("price_idx")
+    assert stats["num_indexed_rows"] == 3
+
+
+@pytest.mark.asyncio
+async def test_sync_optimize_in_async(db):
+    table = LanceTable.create(
+        db,
+        "test",
+        data=[
+            {"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
+            {"vector": [5.9, 26.5], "item": "bar", "price": 20.0},
+        ],
+    )
+
+    table.create_scalar_index("price", index_type="BTREE")
+    stats = table.to_lance().stats.index_stats("price_idx")
+    assert stats["num_indexed_rows"] == 2
+
+    table.add([{"vector": [2.0, 2.0], "item": "baz", "price": 30.0}])
+    assert table.count_rows() == 3
+    try:
+        table.optimize()
+    except Exception as e:
+        assert (
+            "Synchronous method called in asynchronous context. "
+            "If you are writing an asynchronous application "
+            "then please use the asynchronous APIs" in str(e)
+        )
+
+
 @pytest.mark.asyncio
 async def test_optimize(db_async: AsyncConnection):
     table = await db_async.create_table(