From af79cfc04cd03e368a7f99fca1237061d8faee06 Mon Sep 17 00:00:00 2001
From: Michelle Ark <michelle.ark@dbtlabs.com>
Date: Wed, 27 Nov 2024 18:04:40 -0500
Subject: [PATCH] remove manifest parameter from ModelRunner._execute_model

---
 core/dbt/task/run.py | 24 +++---------------------
 1 file changed, 3 insertions(+), 21 deletions(-)

diff --git a/core/dbt/task/run.py b/core/dbt/task/run.py
index fb4ee145429..b9cf7e22a08 100644
--- a/core/dbt/task/run.py
+++ b/core/dbt/task/run.py
@@ -283,7 +283,6 @@ def _execute_model(
         hook_ctx: Any,
         context_config: Any,
         model: ModelNode,
-        manifest: Manifest,
         context: Dict[str, Any],
         materialization_macro: MacroProtocol,
     ) -> RunResult:
@@ -328,9 +327,7 @@ def execute(self, model, manifest):
 
         hook_ctx = self.adapter.pre_model_hook(context_config)
 
-        return self._execute_model(
-            hook_ctx, context_config, model, manifest, context, materialization_macro
-        )
+        return self._execute_model(hook_ctx, context_config, model, context, materialization_macro)
 
 
 class MicrobatchModelRunner(ModelRunner):
@@ -522,7 +519,6 @@ def _build_run_microbatch_model_result(self, model: ModelNode) -> RunResult:
     def _execute_microbatch_materialization(
         self,
         model: ModelNode,
-        manifest: Manifest,
         context: Dict[str, Any],
         materialization_macro: MacroProtocol,
     ) -> RunResult:
@@ -644,37 +640,23 @@ def _is_incremental(self, model) -> bool:
         else:
             return False
 
-    def _execute_microbatch_model(
+    def _execute_model(
         self,
         hook_ctx: Any,
         context_config: Any,
         model: ModelNode,
-        manifest: Manifest,
         context: Dict[str, Any],
         materialization_macro: MacroProtocol,
     ) -> RunResult:
         try:
             batch_result = self._execute_microbatch_materialization(
-                model, manifest, context, materialization_macro
+                model, context, materialization_macro
             )
         finally:
             self.adapter.post_model_hook(context_config, hook_ctx)
 
         return batch_result
 
-    def _execute_model(
-        self,
-        hook_ctx: Any,
-        context_config: Any,
-        model: ModelNode,
-        manifest: Manifest,
-        context: Dict[str, Any],
-        materialization_macro: MacroProtocol,
-    ) -> RunResult:
-        return self._execute_microbatch_model(
-            hook_ctx, context_config, model, manifest, context, materialization_macro
-        )
-
 
 class RunTask(CompileTask):
     def __init__(