Added parallel support for incremental append SQL

Author: aosingh

dbt/include/oracle/macros/materializations/incremental/strategies.sql

@@ -93,12 +93,13 @@
 
 
 {% macro oracle__get_incremental_append_sql(args_dict) %}
+    {%- set parallel = config.get('parallel', none) -%}
     {%- set dest_columns = args_dict["dest_columns"] -%}
     {%- set temp_relation = args_dict["temp_relation"] -%}
     {%- set target_relation = args_dict["target_relation"] -%}
     {%- set dest_column_names = dest_columns | map(attribute='name') | list -%}
     {%- set dest_cols_csv = get_quoted_column_csv(model, dest_column_names)  -%}
-    INSERT INTO {{ target_relation }} ({{ dest_cols_csv }})
+    INSERT INTO {% if parallel %} /*+parallel({{ parallel }})*/ {% endif %} {{ target_relation }} ({{ dest_cols_csv }})
     (
        SELECT {{ dest_cols_csv }}
        FROM {{ temp_relation }}

dbt_adbs_test_project/models/us_product_sales_channel_ranking_append.sql

@@ -0,0 +1,43 @@
+{#
+ Copyright (c) 2022, Oracle and/or its affiliates.
+
+  Licensed under the Apache License, Version 2.0 (the "License");
+  you may not use this file except in compliance with the License.
+  You may obtain a copy of the License at
+
+     https://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing, software
+  distributed under the License is distributed on an "AS IS" BASIS,
+  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+  See the License for the specific language governing permissions and
+  limitations under the License.
+#}
+{{
+    config(
+        materialized='incremental',
+        incremental_strategy='append',
+        parallel=4,
+        table_compression_clause='COLUMN STORE COMPRESS FOR QUERY LOW')
+}}
+
+SELECT prod_name, channel_desc, calendar_month_desc,
+   {{ snapshot_hash_arguments(['prod_name', 'channel_desc', 'calendar_month_desc']) }} AS group_id,
+   TO_CHAR(SUM(amount_sold), '9,999,999,999') SALES$,
+   RANK() OVER (ORDER BY SUM(amount_sold)) AS default_rank,
+   RANK() OVER (ORDER BY SUM(amount_sold) DESC NULLS LAST) AS custom_rank
+FROM {{ source('sh_database', 'sales') }}, {{ source('sh_database', 'products') }}, {{ source('sh_database', 'customers') }},
+     {{ source('sh_database', 'times') }}, {{ source('sh_database', 'channels') }}, {{ source('sh_database', 'countries') }}
+WHERE sales.prod_id=products.prod_id AND sales.cust_id=customers.cust_id
+  AND customers.country_id = countries.country_id AND sales.time_id=times.time_id
+  AND sales.channel_id=channels.channel_id
+  AND country_iso_code='US'
+
+{% if is_incremental() %}
+
+  AND times.calendar_month_desc > (SELECT MAX(calendar_month_desc) FROM {{ this }})
+
+{% endif %}
+
+GROUP BY prod_name, channel_desc, calendar_month_desc
+