SNOW-1865904 fix query gen when nested cte node is partitioned

src/snowflake/snowpark/_internal/compiler/large_query_breakdown.py

@@ -565,19 +565,14 @@ def _replace_child_and_update_ancestors(
         temp_table_selectable.post_actions = [drop_table_query]
 
         parents = self._parent_map[child]
-        updated_nodes = set()
         for parent in parents:
             replace_child(parent, child, temp_table_selectable, self._query_generator)
 
         nodes_to_reset = list(parents)
         while nodes_to_reset:
             node = nodes_to_reset.pop()
-            if node in updated_nodes:
-                # Skip if the node is already updated.
-                continue
 
             update_resolvable_node(node, self._query_generator)
-            updated_nodes.add(node)
 
             parents = self._parent_map[node]
             nodes_to_reset.extend(parents)

src/snowflake/snowpark/_internal/compiler/plan_compiler.py

@@ -185,7 +185,6 @@ def compile(self) -> Dict[PlanQueryType, List[Query]]:
                     error_type=type(e).__name__,
                     error_message=str(e),
                 )
-                pass
 
         return self.replace_temp_obj_placeholders(queries)
 

src/snowflake/snowpark/_internal/compiler/query_generator.py

@@ -218,11 +218,11 @@ def do_resolve_with_resolved_children(
 
         elif isinstance(logical_plan, WithQueryBlock):
             resolved_child = resolved_children[logical_plan.children[0]]
-            # record the CTE definition of the current block
-            if logical_plan.name not in self.resolved_with_query_block:
-                self.resolved_with_query_block[
-                    logical_plan.name
-                ] = resolved_child.queries[-1]
+            # record the CTE definition of the current block and update the query when
+            # the child is re-resolved during optimization stage.
+            self.resolved_with_query_block[logical_plan.name] = resolved_child.queries[
+                -1
+            ]
 
             resolved_plan = self.plan_builder.with_query_block(
                 logical_plan,

tests/integ/test_large_query_breakdown.py

@@ -5,6 +5,7 @@
 
 import logging
 import os
+import re
 import tempfile
 from unittest.mock import patch
 
@@ -734,6 +735,48 @@ def test_optimization_skipped_with_exceptions(
     assert kwargs["error_type"] == error_type.__name__
 
 
+def test_large_query_breakdown_with_nested_cte(session):
+    session.cte_optimization_enabled = True
+    set_bounds(session, 15, 20)
+
+    temp_table = Utils.random_table_name()
+    session.create_dataframe([(1, 2), (3, 4)], ["A", "B"]).write.save_as_table(
+        temp_table, table_type="temp"
+    )
+    base_select = session.table(temp_table)
+    for i in range(2):
+        base_select = base_select.with_column("A", col("A") + lit(i))
+
+    base_df = base_select.union_all(base_select)
+
+    df1 = base_df.with_column("A", col("A") + 1)
+    df2 = base_df.with_column("B", col("B") + 1)
+    for i in range(2):
+        df1 = df1.with_column("A", col("A") + i)
+
+    df1 = df1.group_by("A").agg(sum_distinct(col("B")).alias("B"))
+    df2 = df2.group_by("B").agg(sum_distinct(col("A")).alias("A"))
+    mid_final_df = df1.union_all(df2)
+
+    mid1 = mid_final_df.filter(col("A") > 10)
+    mid2 = mid_final_df.filter(col("B") > 3)
+    final_df = mid1.union_all(mid2)
+
+    with SqlCounter(query_count=1, describe_count=0):
+        queries = final_df.queries
+        # TODO: update when to_selectable memoization is merged
+        assert len(queries["queries"]) == 3
+        assert len(queries["post_actions"]) == 2
+        match = re.search(r"SNOWPARK_TEMP_CTE_[\w]+", queries["queries"][0])
+        assert match is not None
+        cte_name_for_first_partition = match.group()
+        # assert that query for upper cte node is re-written and does not
+        # contain the cte name for the first partition
+        assert cte_name_for_first_partition not in queries["queries"][2]
+
+    check_result_with_and_without_breakdown(session, final_df)
+
+
 def test_complexity_bounds_affect_num_partitions(session, large_query_df):
     """Test complexity bounds affect number of partitions.
     Also test that when partitions are added, drop table queries are added.