reorder table column in planner test

Author: wenym1

src/frontend/planner_test/tests/testdata/input/vector_search.yaml

@@ -59,7 +59,7 @@
     - explain_output
 - id: create_table_and_index
   sql: |
-    create table items (id int primary key, name string, unindexed timestamptz, embedding vector(3)) append only;
+    create table items (id int primary key, unindexed timestamptz, name string, embedding vector(3)) append only;
     create index vector_index on items using flat (embedding) include (name) with (distance_type = 'inner_product');
   expected_outputs: []
 - before:

src/frontend/planner_test/tests/testdata/output/vector_search.yaml

@@ -140,7 +140,7 @@
         └─StreamTableScan { table: items, columns: [name, embedding, id] }
 - id: create_table_and_index
   sql: |
-    create table items (id int primary key, name string, unindexed timestamptz, embedding vector(3)) append only;
+    create table items (id int primary key, unindexed timestamptz, name string, embedding vector(3)) append only;
     create index vector_index on items using flat (embedding) include (name) with (distance_type = 'inner_product');
 - before:
   - create_table_and_index
@@ -150,7 +150,7 @@
     LogicalProject { exprs: [items.id, items.name] }
     └─LogicalTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
       └─LogicalProject { exprs: [items.id, items.name, Neg(InnerProduct(items.embedding, '[1,2,3]':Vector(3))) as $expr1] }
-        └─LogicalScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding, items._rw_timestamp] }
+        └─LogicalScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding, items._rw_timestamp] }
   optimized_logical_plan_for_batch: |-
     LogicalVectorSearch { distance_type: InnerProduct, top_n: 5, left: $2, right: '[1,2,3]':Vector(3), output_columns: [items.id:Int32, items.name:Varchar] }
     └─LogicalScan { table: items, columns: [items.id, items.name, items.embedding] }
@@ -172,7 +172,7 @@
     └─LogicalTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
       └─LogicalProject { exprs: [items.id, items.name, Neg(InnerProduct(items.embedding, '[1,2,3]':Vector(3))) as $expr1] }
         └─LogicalFilter { predicate: (items.id > 0:Int32) }
-          └─LogicalScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding, items._rw_timestamp] }
+          └─LogicalScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding, items._rw_timestamp] }
   optimized_logical_plan_for_batch: |-
     LogicalVectorSearch { distance_type: InnerProduct, top_n: 5, left: $2, right: '[1,2,3]':Vector(3), output_columns: [items.id:Int32, items.name:Varchar] }
     └─LogicalScan { table: items, columns: [items.id, items.name, items.embedding], predicate: (items.id > 0:Int32) }
@@ -191,7 +191,7 @@
     LogicalProject { exprs: [items.id, items.name] }
     └─LogicalTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
       └─LogicalProject { exprs: [items.id, items.name, Neg(InnerProduct(items.embedding, OpenaiEmbedding('{"model": "model"}':Jsonb, 'hello':Varchar)::Vector(3))) as $expr1] }
-        └─LogicalScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding, items._rw_timestamp] }
+        └─LogicalScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding, items._rw_timestamp] }
   optimized_logical_plan_for_batch: |-
     LogicalVectorSearch { distance_type: InnerProduct, top_n: 5, left: $2, right: OpenaiEmbedding('{"model": "model"}':Jsonb, 'hello':Varchar)::Vector(3), output_columns: [items.id:Int32, items.name:Varchar] }
     └─LogicalScan { table: items, columns: [items.id, items.name, items.embedding] }
@@ -214,7 +214,7 @@
         └─LogicalProject { exprs: [$expr1] }
           └─LogicalTopN { order: [$expr2 ASC], limit: 5, offset: 0 }
             └─LogicalProject { exprs: [(items.id + 1:Int32) as $expr1, Neg(InnerProduct(items.embedding, '[3,1,2]':Vector(3))) as $expr2] }
-              └─LogicalScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding, items._rw_timestamp] }
+              └─LogicalScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding, items._rw_timestamp] }
   optimized_logical_plan_for_batch: |-
     LogicalProject { exprs: [count, $expr1] }
     └─LogicalAgg { group_key: [$expr1], aggs: [count] }
@@ -238,7 +238,7 @@
     LogicalProject { exprs: [items.id, items.name, items.embedding] }
     └─LogicalTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
       └─LogicalProject { exprs: [items.id, items.name, items.embedding, Neg(InnerProduct(items.embedding, '[3,1,2]':Vector(3))) as $expr1] }
-        └─LogicalScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding, items._rw_timestamp] }
+        └─LogicalScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding, items._rw_timestamp] }
   optimized_logical_plan_for_batch: |-
     LogicalVectorSearch { distance_type: InnerProduct, top_n: 5, left: $2, right: '[3,1,2]':Vector(3), output_columns: [items.id:Int32, items.name:Varchar, items.embedding:Vector(3)] }
     └─LogicalScan { table: items, columns: [items.id, items.name, items.embedding] }
@@ -257,17 +257,19 @@
     LogicalProject { exprs: [items.id, items.name, items.unindexed] }
     └─LogicalTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
       └─LogicalProject { exprs: [items.id, items.name, items.unindexed, Neg(InnerProduct(items.embedding, '[3,1,2]':Vector(3))) as $expr1] }
-        └─LogicalScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding, items._rw_timestamp] }
+        └─LogicalScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding, items._rw_timestamp] }
   optimized_logical_plan_for_batch: |-
-    LogicalVectorSearch { distance_type: InnerProduct, top_n: 5, left: $3, right: '[3,1,2]':Vector(3), output_columns: [items.id:Int32, items.name:Varchar, items.unindexed:Timestamptz] }
-    └─LogicalScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding] }
+    LogicalProject { exprs: [items.id, items.name, items.unindexed, vector_distance] }
+    └─LogicalVectorSearch { distance_type: InnerProduct, top_n: 5, left: $3, right: '[3,1,2]':Vector(3), output_columns: [items.id:Int32, items.unindexed:Timestamptz, items.name:Varchar] }
+      └─LogicalScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding] }
   batch_plan: |-
     BatchProject { exprs: [items.id, items.name, items.unindexed] }
-    └─BatchTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
-      └─BatchExchange { order: [], dist: Single }
-        └─BatchTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
-          └─BatchProject { exprs: [items.id, items.name, items.unindexed, Neg(InnerProduct(items.embedding, '[3,1,2]':Vector(3))) as $expr1] }
-            └─BatchScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding], distribution: UpstreamHashShard(items.id) }
+    └─BatchProject { exprs: [items.id, items.name, items.unindexed, $expr1] }
+      └─BatchTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
+        └─BatchExchange { order: [], dist: Single }
+          └─BatchTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
+            └─BatchProject { exprs: [items.id, items.unindexed, items.name, Neg(InnerProduct(items.embedding, '[3,1,2]':Vector(3))) as $expr1] }
+              └─BatchScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding], distribution: UpstreamHashShard(items.id) }
 - before:
   - create_table_and_index
   sql: |
@@ -281,7 +283,7 @@
             └─LogicalTopN { order: [$expr1 ASC], limit: 5, offset: 0 }
               └─LogicalProject { exprs: [items.embedding, items.id, $expr1] }
                 └─LogicalProject { exprs: [items.id, Neg(InnerProduct(items.embedding, '[3,1,2]':Vector(3))) as $expr1, items.embedding] }
-                  └─LogicalScan { table: items, columns: [items.id, items.name, items.unindexed, items.embedding, items._rw_timestamp] }
+                  └─LogicalScan { table: items, columns: [items.id, items.unindexed, items.name, items.embedding, items._rw_timestamp] }
   optimized_logical_plan_for_batch: |-
     LogicalProject { exprs: [count, items.id] }
     └─LogicalAgg { group_key: [items.id], aggs: [count] }