update docs

Author: izeigerman

docs/cloud/tcloud_getting_started.md

@@ -268,9 +268,6 @@ Models needing backfill (missing dates):
 ├── sqlmesh_example.incremental_model: 2020-01-01 - 2024-11-24
 └── sqlmesh_example.seed_model: 2024-11-24 - 2024-11-24
 Apply - Backfill Tables [y/n]: y
-Creating physical tables ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 3/3 • 0:00:00
-
-All model versions have been created successfully
 
 [1/1] sqlmesh_example.seed_model evaluated in 0.00s
 [1/1] sqlmesh_example.incremental_model evaluated in 0.01s

docs/concepts/macros/macro_variables.md

@@ -130,7 +130,7 @@ SQLMesh provides additional predefined variables used to modify model behavior b
 
 * @runtime_stage - A string value denoting the current stage of the SQLMesh runtime. Typically used in models to conditionally execute pre/post-statements (learn more [here](../models/sql_models.md#optional-prepost-statements)). It returns one of these values:
     * 'loading' - The project is being loaded into SQLMesh's runtime context.
-    * 'creating' - The model tables are being created.
+    * 'creating' - The model tables are being created without inserting data.
     * 'evaluating' - The model query logic is being evaluated.
     * 'promoting' - The model is being promoted in the target environment (view created during virtual layer update).
     * 'demoting' - The model is being demoted in the target environment (view dropped during virtual layer update).

docs/examples/incremental_time_full_walkthrough.md

@@ -304,10 +304,6 @@ Models needing backfill (missing dates):
 Enter the backfill start date (eg. '1 year', '2020-01-01') or blank to backfill from the beginning of history:
 Enter the backfill end date (eg. '1 month ago', '2020-01-01') or blank to backfill up until now:
 Apply - Backfill Tables [y/n]: y
-Creating physical table ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1/1 • 0:00:07
-
-All model versions have been created successfully
-
 [1/1] demo__dev.incrementals_demo evaluated in 6.97s
 Evaluating models ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1/1 • 0:00:06
 
@@ -640,9 +636,10 @@ Models:
     ├── tcloud_raw_data.product_usage
     └── tcloud_raw_data.sales
 Apply - Virtual Update [y/n]: y
-Creating physical tables ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 15/15 • 0:00:03
 
-All model versions have been created successfully
+SKIP: No physical layer updates to perform
+
+SKIP: No model batches to execute
 
 Virtually Updating 'prod' ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 0:00:02
 
@@ -732,10 +729,6 @@ Models needing backfill (missing dates):
 Enter the preview start date (eg. '1 year', '2020-01-01') or blank to backfill to preview starting from yesterday: 2024-10-27
 Enter the preview end date (eg. '1 month ago', '2020-01-01') or blank to preview up until '2024-11-08 00:00:00':
 Apply - Preview Tables [y/n]: y
-Creating physical table ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1/1 • 0:00:16
-
-All model versions have been created successfully
-
 [1/1] demo__dev.incrementals_demo evaluated in 6.18s
 Evaluating models ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1/1 • 0:00:06
 
@@ -1249,9 +1242,10 @@ Models:
      THEN 'Regular User'
 Directly Modified: demo.incrementals_demo (Forward-only)
 Apply - Virtual Update [y/n]: y
-Creating physical tables ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 15/15 • 0:00:02
 
-All model versions have been created successfully
+SKIP: No physical layer updates to perform
+
+SKIP: No model batches to execute
 
 Virtually Updating 'prod' ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 0:00:02
 

docs/integrations/dlt.md

@@ -102,10 +102,6 @@ Models needing backfill (missing dates):
 ├── sushi_dataset_sqlmesh.incremental_sushi_types: 2024-10-03 - 2024-10-03
 └── sushi_dataset_sqlmesh.incremental_waiters: 2024-10-03 - 2024-10-03
 Apply - Backfill Tables [y/n]: y
-Creating physical table ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 3/3 • 0:00:00
-
-All model versions have been created successfully
-
 [1/1] sushi_dataset_sqlmesh.incremental__dlt_loads evaluated in 0.01s
 [1/1] sushi_dataset_sqlmesh.incremental_sushi_types evaluated in 0.00s
 [1/1] sushi_dataset_sqlmesh.incremental_waiters evaluated in 0.01s