[Tidy first] move microbatch compilation to .compile method

core/dbt/task/run.py

@@ -342,10 +342,30 @@
         self.relation_exists: bool = False
 
     def compile(self, manifest: Manifest):
-        # The default compile function is _always_ called. However, we do our
-        # compilation _later_ in `_execute_microbatch_materialization`. This
-        # meant the node was being compiled _twice_ for each batch. To get around
-        # this, we've overriden the default compile method to do nothing
+        if self.batch_idx is not None:
+            batch = self.batches[self.batch_idx]
+
+            # LEGACY: Set start/end in context prior to re-compiling (Will be removed for 1.10+)
+            # TODO: REMOVE before 1.10 GA
+            self.node.config["__dbt_internal_microbatch_event_time_start"] = batch[0]
+            self.node.config["__dbt_internal_microbatch_event_time_end"] = batch[1]
+            # Create batch context on model node prior to re-compiling
+            self.node.batch = BatchContext(
+                id=MicrobatchBuilder.batch_id(batch[0], self.node.config.batch_size),
+                event_time_start=batch[0],
+                event_time_end=batch[1],
+            )
+            # Recompile node to re-resolve refs with event time filters rendered, update context
+            self.compiler.compile_node(
+                self.node,
+                manifest,
+                {},
+                split_suffix=MicrobatchBuilder.format_batch_start(
+                    batch[0], self.node.config.batch_size
+                ),
+            )
+
+        # Skips compilation for non-batch runs
         return self.node
 
     def set_batch_idx(self, batch_idx: int) -> None:
@@ -537,25 +557,6 @@
             # call materialization_macro to get a batch-level run result
             start_time = time.perf_counter()
             try:
-                # LEGACY: Set start/end in context prior to re-compiling (Will be removed for 1.10+)
-                # TODO: REMOVE before 1.10 GA
-                model.config["__dbt_internal_microbatch_event_time_start"] = batch[0]
-                model.config["__dbt_internal_microbatch_event_time_end"] = batch[1]
-                # Create batch context on model node prior to re-compiling
-                model.batch = BatchContext(
-                    id=MicrobatchBuilder.batch_id(batch[0], model.config.batch_size),
-                    event_time_start=batch[0],
-                    event_time_end=batch[1],
-                )
-                # Recompile node to re-resolve refs with event time filters rendered, update context
-                self.compiler.compile_node(
-                    model,
-                    manifest,
-                    {},
-                    split_suffix=MicrobatchBuilder.format_batch_start(
-                        batch[0], model.config.batch_size
-                    ),
-                )
                 # Update jinja context with batch context members
                 jinja_context = microbatch_builder.build_jinja_context_for_batch(
                     incremental_batch=self.relation_exists