Support for incremental materialization with ingestion time partition…

… tables

dbt/adapters/bigquery/connections.py

@@ -1,11 +1,11 @@
 import json
 import re
 from contextlib import contextmanager
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from functools import lru_cache
 import agate
 from requests.exceptions import ConnectionError
-from typing import Optional, Any, Dict, Tuple
+from typing import Optional, Any, Dict, Tuple, List
 
 import google.auth
 import google.auth.exceptions
@@ -86,6 +86,7 @@ class BigQueryConnectionMethod(StrEnum):
 @dataclass
 class BigQueryAdapterResponse(AdapterResponse):
     bytes_processed: Optional[int] = None
+    fields: List[Any] = field(default_factory=list)
 
 
 @dataclass
@@ -434,6 +435,7 @@ def execute(
         code = None
         num_rows = None
         bytes_processed = None
+        fields = list()
 
         if query_job.statement_type == "CREATE_VIEW":
             code = "CREATE VIEW"
@@ -448,6 +450,7 @@ def execute(
             bytes_processed = query_job.total_bytes_processed
             processed_bytes = self.format_bytes(bytes_processed)
             message = f"{code} ({num_rows_formated} rows, {processed_bytes} processed)"
+            fields = query_table.schema
 
         elif query_job.statement_type == "SCRIPT":
             code = "SCRIPT"
@@ -473,9 +476,14 @@ def execute(
             bytes_processed = query_job.total_bytes_processed
             processed_bytes = self.format_bytes(bytes_processed)
             message = f"{code} ({num_rows_formated} rows, {processed_bytes} processed)"
+            fields = query_table.schema
 
         response = BigQueryAdapterResponse(  # type: ignore[call-arg]
-            _message=message, rows_affected=num_rows, code=code, bytes_processed=bytes_processed
+            _message=message,
+            rows_affected=num_rows,
+            code=code,
+            bytes_processed=bytes_processed,
+            fields=fields,
         )
 
         return response, table
@@ -529,7 +537,8 @@ def copy_and_results():
 
         self._retry_and_handle(
             msg='copy table "{}" to "{}"'.format(
-                ", ".join(source_ref.path for source_ref in source_ref_array), destination_ref.path
+                ", ".join(source_ref.path for source_ref in source_ref_array),
+                destination_ref.path,
             ),
             conn=conn,
             fn=copy_and_results,
@@ -571,7 +580,12 @@ def fn():
         self._retry_and_handle(msg="create dataset", conn=conn, fn=fn)
 
     def _query_and_results(
-        self, client, sql, job_params, job_creation_timeout=None, job_execution_timeout=None
+        self,
+        client,
+        sql,
+        job_params,
+        job_creation_timeout=None,
+        job_execution_timeout=None,
     ):
         """Query the client and wait for results."""
         # Cannot reuse job_config if destination is set and ddl is used

dbt/adapters/bigquery/impl.py

@@ -7,7 +7,13 @@
 import dbt.clients.agate_helper
 
 from dbt import ui  # type: ignore
-from dbt.adapters.base import BaseAdapter, available, RelationType, SchemaSearchMap, AdapterConfig
+from dbt.adapters.base import (
+    BaseAdapter,
+    available,
+    RelationType,
+    SchemaSearchMap,
+    AdapterConfig,
+)
 from dbt.adapters.bigquery.relation import BigQueryRelation
 from dbt.adapters.bigquery import BigQueryColumn
 from dbt.adapters.bigquery import BigQueryConnectionManager
@@ -47,11 +53,15 @@ class PartitionConfig(dbtClassMixin):
     data_type: str = "date"
     granularity: str = "day"
     range: Optional[Dict[str, Any]] = None
+    time_ingestion_partitioning: bool = False
+
+    def reject_partition_field_column(self, columns: List[Any]) -> List[str]:
+        return [c for c in columns if not c.name.upper() == self.field.upper()]
 
     def render(self, alias: Optional[str] = None):
-        column: str = self.field
+        column: str = self.field if not self.time_ingestion_partitioning else "_PARTITIONTIME"
         if alias:
-            column = f"{alias}.{self.field}"
+            column = f"{alias}.{column}"
 
         if self.data_type.lower() == "int64" or (
             self.data_type.lower() == "date" and self.granularity.lower() == "day"
@@ -89,7 +99,11 @@ def render(self):
 
 def _stub_relation(*args, **kwargs):
     return BigQueryRelation.create(
-        database="", schema="", identifier="", quote_policy={}, type=BigQueryRelation.Table
+        database="",
+        schema="",
+        identifier="",
+        quote_policy={},
+        type=BigQueryRelation.Table,
     )
 
 
@@ -209,7 +223,9 @@ def check_schema_exists(self, database: str, schema: str) -> bool:
     def get_columns_in_relation(self, relation: BigQueryRelation) -> List[BigQueryColumn]:
         try:
             table = self.connections.get_bq_table(
-                database=relation.database, schema=relation.schema, identifier=relation.identifier
+                database=relation.database,
+                schema=relation.schema,
+                identifier=relation.identifier,
             )
             return self._get_dbt_columns_from_bq_table(table)
 
@@ -358,7 +374,10 @@ def _materialize_as_view(self, model: Dict[str, Any]) -> str:
 
         logger.debug("Model SQL ({}):\n{}".format(model_alias, model_sql))
         self.connections.create_view(
-            database=model_database, schema=model_schema, table_name=model_alias, sql=model_sql
+            database=model_database,
+            schema=model_schema,
+            table_name=model_alias,
+            sql=model_sql,
         )
         return "CREATE VIEW"
 
@@ -379,7 +398,10 @@ def _materialize_as_table(
 
         logger.debug("Model SQL ({}):\n{}".format(table_name, model_sql))
         self.connections.create_table(
-            database=model_database, schema=model_schema, table_name=table_name, sql=model_sql
+            database=model_database,
+            schema=model_schema,
+            table_name=table_name,
+            sql=model_sql,
         )
 
         return "CREATE TABLE"
@@ -462,7 +484,8 @@ def _partitions_match(self, table, conf_partition: Optional[PartitionConfig]) ->
         if not is_partitioned and not conf_partition:
             return True
         elif conf_partition and table.time_partitioning is not None:
-            table_field = table.time_partitioning.field.lower()
+            partioning_field = table.time_partitioning.field or "_PARTITIONTIME"
+            table_field = partioning_field.lower()
             table_granularity = table.partitioning_type.lower()
             return (
                 table_field == conf_partition.field.lower()
@@ -508,7 +531,9 @@ def is_replaceable(
 
         try:
             table = self.connections.get_bq_table(
-                database=relation.database, schema=relation.schema, identifier=relation.identifier
+                database=relation.database,
+                schema=relation.schema,
+                identifier=relation.identifier,
             )
         except google.cloud.exceptions.NotFound:
             return True
@@ -630,7 +655,12 @@ def load_dataframe(self, database, schema, table_name, agate_table, column_overr
 
     @available.parse_none
     def upload_file(
-        self, local_file_path: str, database: str, table_schema: str, table_name: str, **kwargs
+        self,
+        local_file_path: str,
+        database: str,
+        table_schema: str,
+        table_name: str,
+        **kwargs,
     ) -> None:
         conn = self.connections.get_thread_connection()
         client = conn.handle

dbt/include/bigquery/macros/materializations/incremental.sql

@@ -27,6 +27,94 @@
   {% do return(strategy) %}
 {% endmacro %}
 
+{% macro get_columns_with_types_in_query(select_sql) %}
+    {% call statement('get_columns_with_types_in_query', fetch_result=True, auto_begin=False) -%}
+        select * from (
+            {{ select_sql }}
+        ) as __dbt_sbq
+        where false
+        limit 0
+    {% endcall %}
+    {%- set result = load_result('get_columns_with_types_in_query') -%}
+    {{ return(load_result('get_columns_with_types_in_query').response.fields) }}
+{% endmacro %}
+
+{% macro create_ingestion_time_partitioned_table_as(temporary, relation, sql) -%}
+  {%- set raw_partition_by = config.get('partition_by', none) -%}
+  {%- set raw_cluster_by = config.get('cluster_by', none) -%}
+  {%- set sql_header = config.get('sql_header', none) -%}
+
+  {%- set partition_config = adapter.parse_partition_by(raw_partition_by) -%}
+
+  {%- set columns = get_columns_with_types_in_query(sql) -%}
+  {%- set table_dest_columns_csv = columns_without_partition_fields_csv(partition_config, columns) -%}
+
+  {{ sql_header if sql_header is not none }}
+
+  {% set ingestion_time_partition_config_raw = fromjson(tojson(raw_partition_by))  %}
+  {% do ingestion_time_partition_config_raw.update({'field':'_PARTITIONTIME'}) %}
+
+  {%- set ingestion_time_partition_config = adapter.parse_partition_by(ingestion_time_partition_config_raw) -%}
+
+  create or replace table {{ relation }} ({{table_dest_columns_csv}})
+  {{ partition_by(ingestion_time_partition_config) }}
+  {{ cluster_by(raw_cluster_by) }}
+  {{ bigquery_table_options(config, model, temporary) }}
+
+{%- endmacro -%}
+
+{% macro get_quoted_with_types_csv(columns) %}
+    {% set quoted = [] %}
+    {% for col in columns -%}
+        {%- do quoted.append(adapter.quote(col.name) ~ " " ~ col.field_type) -%}
+    {%- endfor %}
+    {%- set dest_cols_csv = quoted | join(', ') -%}
+    {{ return(dest_cols_csv) }}
+
+{% endmacro %}
+
+{% macro columns_without_partition_fields_csv(partition_config, columns) -%}
+  {%- set columns_no_partition = partition_config.reject_partition_field_column(columns) -%}
+  {% set columns_names = get_quoted_with_types_csv(columns_no_partition) %}
+  {{ return(columns_names) }}
+
+{%- endmacro -%}
+
+{% macro bq_insert_into_ingestion_time_partitioned_table(target_relation, sql) -%}
+  {%- set partition_by = config.get('partition_by', none) -%}
+  {% set dest_columns = adapter.get_columns_in_relation(target_relation) %}
+  {%- set dest_columns_csv = get_quoted_csv(dest_columns | map(attribute="name")) -%}
+
+  insert into {{ target_relation }} (_partitiontime, {{ dest_columns_csv }})
+    {{ wrap_with_time_ingestion_partitioning(build_partition_time_exp(partition_by), sql) }}
+
+{%- endmacro -%}
+
+{% macro  build_partition_time_exp(partition_by) %}
+  {% if partition_by.data_type == 'timestamp' %}
+    {{ return(partition_by.field) }}
+  {% else %}
+    {{ return('timestamp(' + partition_by.field + ')') }}
+  {% endif %}
+{% endmacro %}
+
+{% macro  wrap_with_time_ingestion_partitioning(partition_time_exp, sql) %}
+
+  select {{ partition_time_exp }} as _partitiontime, * EXCEPT({{ partition_time_exp }}) from (
+    {{ sql }}
+  );
+
+{% endmacro %}
+
+{% macro source_sql_with_partition(partition_by, source_sql) %}
+
+  {%- if partition_by.time_ingestion_partitioning %}
+    {{ return(wrap_with_time_ingestion_partitioning(build_partition_time_exp(partition_by), source_sql))  }}
+  {% else %}
+    {{ return(source_sql)  }}
+  {%- endif -%}
+
+{% endmacro %}
 
 {% macro bq_insert_overwrite(
     tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists
@@ -60,15 +148,15 @@
       )
       {%- endset -%}
 
-      -- generated script to merge partitions into {{ target_relation }}
       declare dbt_partitions_for_replacement array<{{ partition_by.data_type }}>;
 
       {# have we already created the temp table to check for schema changes? #}
       {% if not tmp_relation_exists %}
         {{ declare_dbt_max_partition(this, partition_by, sql) }}
 
         -- 1. create a temp table
-        {{ create_table_as(True, tmp_relation, sql) }}
+        {% set create_table_sql = bq_create_table_as(partition_by.time_ingestion_partitioning, False, target_relation, sql) %}
+        {{ create_table_sql }}
       {% else %}
         -- 1. temp table already exists, we used it to check for schema changes
       {% endif %}
@@ -94,6 +182,15 @@
 
 {% endmacro %}
 
+{% macro bq_create_table_as(is_time_ingestion_partitioning, temporary, relation, sql) %}
+  {% if is_time_ingestion_partitioning %}
+    {#-- Create the table before inserting data as ingestion time partitioned tables can't be created with the transformed data --#}
+    {% do run_query(create_ingestion_time_partitioned_table_as(temporary, relation, sql)) %}
+    {{ return(bq_insert_into_ingestion_time_partitioned_table(relation, sql)) }}
+  {% else %}
+    {{ return(create_table_as(temporary, relation, sql)) }}
+  {% endif %}
+{% endmacro %}
 
 {% macro bq_generate_incremental_build_sql(
     strategy, tmp_relation, target_relation, sql, unique_key, partition_by, partitions, dest_columns, tmp_relation_exists
@@ -155,26 +252,26 @@
   {{ run_hooks(pre_hooks) }}
 
   {% if existing_relation is none %}
-      {% set build_sql = create_table_as(False, target_relation, sql) %}
+      {% set build_sql = bq_create_table_as(partition_by.time_ingestion_partitioning, False, target_relation, sql) %}
 
   {% elif existing_relation.is_view %}
       {#-- There's no way to atomically replace a view with a table on BQ --#}
       {{ adapter.drop_relation(existing_relation) }}
-      {% set build_sql = create_table_as(False, target_relation, sql) %}
+      {% set build_sql = bq_create_table_as(partition_by.time_ingestion_partitioning, False, target_relation, sql) %}
 
   {% elif full_refresh_mode %}
       {#-- If the partition/cluster config has changed, then we must drop and recreate --#}
       {% if not adapter.is_replaceable(existing_relation, partition_by, cluster_by) %}
           {% do log("Hard refreshing " ~ existing_relation ~ " because it is not replaceable") %}
           {{ adapter.drop_relation(existing_relation) }}
       {% endif %}
-      {% set build_sql = create_table_as(False, target_relation, sql) %}
+      {% set build_sql = bq_create_table_as(partition_by.time_ingestion_partitioning, False, target_relation, sql) %}
 
   {% else %}
     {% set tmp_relation_exists = false %}
     {% if on_schema_change != 'ignore' %} {# Check first, since otherwise we may not build a temp table #}
       {% do run_query(
-        declare_dbt_max_partition(this, partition_by, sql) + create_table_as(True, tmp_relation, sql)
+        declare_dbt_max_partition(this, partition_by, sql) + bq_create_table_as(partition_by.time_ingestion_partitioning, True, tmp_relation, sql)
       ) %}
       {% set tmp_relation_exists = true %}
       {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}

tests/integration/incremental_schema_tests/models/incremental_time_ingestion_partitioning.sql

@@ -0,0 +1,34 @@
+{{
+    config(
+        materialized='incremental',
+        unique_key='id',
+        on_schema_change='append_new_columns',
+        partition_by={
+          "field": "date",
+          "data_type": "timestamp",
+          "time_ingestion_partitioning": true
+        },
+    )
+}}
+
+{% set string_type = 'string' %}
+
+WITH source_data AS (SELECT * FROM {{ ref('model_a') }} )
+
+{% if is_incremental()  %}
+
+SELECT id, 
+       cast(field1 as {{string_type}}) as field1,
+       cast(field2 as {{string_type}}) as field2,
+       cast(field3 as {{string_type}}) as field3,
+       cast(field4 as {{string_type}}) as field4 
+FROM source_data WHERE id NOT IN (SELECT id from {{ this }} )
+
+{% else %}
+
+SELECT id, 
+       cast(field1 as {{string_type}}) as field1, 
+       cast(field2 as {{string_type}}) as field2 
+FROM source_data where id <= 3
+
+{% endif %}