Support s3_data_dir and s3_data_naming

README.md

@@ -47,16 +47,19 @@ stored login info. You can configure the AWS profile name to use via `aws_profil
 
 A dbt profile can be configured to run against AWS Athena using the following configuration:
 
-| Option          | Description                                                                     | Required?  | Example             |
-|---------------- |-------------------------------------------------------------------------------- |----------- |-------------------- |
-| s3_staging_dir  | S3 location to store Athena query results and metadata                          | Required   | `s3://bucket/dbt/`  |
-| region_name     | AWS region of your Athena instance                                              | Required   | `eu-west-1`         |
-| schema          | Specify the schema (Athena database) to build models into (lowercase **only**)  | Required   | `dbt`               |
-| database        | Specify the database (Data catalog) to build models into (lowercase **only**)   | Required   | `awsdatacatalog`    |
-| poll_interval   | Interval in seconds to use for polling the status of query results in Athena    | Optional   | `5`                 |
-| aws_profile_name| Profile to use from your AWS shared credentials file.                           | Optional   | `my-profile`        |
-| work_group| Identifier of Athena workgroup   | Optional   | `my-custom-workgroup`        |
-| num_retries| Number of times to retry a failing query | Optional  | `3`  | `5`
+| Option          | Description                                                                    | Required?  | Example               |
+|---------------- |--------------------------------------------------------------------------------|----------- |-----------------------|
+| s3_staging_dir  | S3 location to store Athena query results and metadata                         | Required   | `s3://bucket/dbt/`    |
+| s3_data_dir     | Prefix for storing tables, if different from the connection's `s3_staging_dir` | Optional   | `s3://bucket2/dbt/`   |
+| s3_data_naming  | How to generate table paths in `s3_data_dir`                                   | Optional   | `schema_table_unique` |
+| region_name     | AWS region of your Athena instance                                             | Required   | `eu-west-1`           |
+| schema          | Specify the schema (Athena database) to build models into (lowercase **only**) | Required   | `dbt`                 |
+| database        | Specify the database (Data catalog) to build models into (lowercase **only**)  | Required   | `awsdatacatalog`      |
+| poll_interval   | Interval in seconds to use for polling the status of query results in Athena   | Optional   | `5`                   |
+| aws_profile_name| Profile to use from your AWS shared credentials file.                          | Optional   | `my-profile`          |
+| work_group| Identifier of Athena workgroup                                                 | Optional   | `my-custom-workgroup` |
+| num_retries| Number of times to retry a failing query                                       | Optional  | `3`                   | `5`
+
 
 **Example profiles.yml entry:**
 ```yaml
@@ -66,6 +69,8 @@ athena:
     dev:
       type: athena
       s3_staging_dir: s3://athena-query-results/dbt/
+      s3_data_dir: s3://your_s3_bucket/dbt/
+      s3_data_naming: schema_table
       region_name: eu-west-1
       schema: dbt
       database: awsdatacatalog
@@ -84,9 +89,7 @@ _Additional information_
 #### Table Configuration
 
 * `external_location` (`default=none`)
-  * The location where Athena saves your table in Amazon S3
-  * If `none` then it will default to `{s3_staging_dir}/tables`
-  * If you are using a static value, when your table/partition is recreated underlying data will be cleaned up and overwritten by new data
+  * If set, the full S3 path in which the table will be saved.
 * `partitioned_by` (`default=none`)
   * An array list of columns by which the table will be partitioned
   * Limited to creation of 100 partitions (_currently_)
@@ -104,11 +107,23 @@ _Additional information_
 * `table_properties`: table properties to add to the table, valid for Iceberg only
 * `strict_location` (`default=True`): when working with iceberg it's possible to rename tables, in order to do so, tables need to avoid to have same location. Setting up `strict_location` to *false* allow a table creation on an unique location
 
-More information: [CREATE TABLE AS][create-table-as]
+#### Table location
+The location in which a table is saved is determined by:
+
+1. If `external_location` is defined, that value is used.
+2. If `s3_data_dir` is defined, the path is determined by that and `s3_data_naming`
+3. If `s3_data_dir` is not defined data is stored under `s3_staging_dir/tables/`
+
+Here all the options available for `s3_data_naming`:
+* `uuid`: `{s3_data_dir}/{uuid4()}/`
+* `table_table`: `{s3_data_dir}/{table}/`
+* `table_unique`: `{s3_data_dir}/{table}/{uuid4()}/`
+* `schema_table`: `{s3_data_dir}/{schema}/{table}/`
+* `s3_data_naming=schema_table_unique`: `{s3_data_dir}/{schema}/{table}/{uuid4()}/`
+
+It's possible to set the `s3_data_naming` globally in the target profile, or overwrite the value in the table config,
+or setting up the value for groups of model in dbt_project.yml
 
-[run_started_at]: https://docs.getdbt.com/reference/dbt-jinja-functions/run_started_at
-[invocation_id]: https://docs.getdbt.com/reference/dbt-jinja-functions/invocation_id
-[create-table-as]: https://docs.aws.amazon.com/athena/latest/ug/create-table-as.html
 
 #### Supported functionality
 
@@ -129,7 +144,6 @@ To get started just add this as your model:
     materialized='table',
     format='iceberg',
     partitioned_by=['bucket(5, user_id)'],
-    strict_location=false,
     table_properties={
     	'optimize_rewrite_delete_file_threshold': '2'
     	}
@@ -193,6 +207,12 @@ You can run the tests using `make`:
 make run_tests
 ```
 
+### Helpful Resources
+
+* [Athena CREATE TABLE AS](https://docs.aws.amazon.com/athena/latest/ug/create-table-as.html)
+* [dbt run_started_at](https://docs.getdbt.com/reference/dbt-jinja-functions/run_started_at)
+* [dbt invocation_id](https://docs.getdbt.com/reference/dbt-jinja-functions/invocation_id)
+
 ### Community
 
 * [fishtown-analytics/dbt][fishtown-analytics/dbt]

dbt/adapters/athena/connections.py

@@ -45,6 +45,8 @@ class AthenaCredentials(Credentials):
     poll_interval: float = 1.0
     _ALIASES = {"catalog": "database"}
     num_retries: Optional[int] = 5
+    s3_data_dir: Optional[str] = None
+    s3_data_naming: Optional[str] = "schema_table_unique"
 
     @property
     def type(self) -> str:
@@ -64,6 +66,8 @@ def _connection_keys(self) -> Tuple[str, ...]:
             "poll_interval",
             "aws_profile_name",
             "endpoing_url",
+            "s3_data_dir",
+            "s3_data_naming",
         )
 
 

dbt/adapters/athena/impl.py

@@ -46,26 +46,41 @@ def convert_datetime_type(cls, agate_table: agate.Table, col_idx: int) -> str:
         return "timestamp"
 
     @available
-    def s3_uuid_table_location(self):
+    def s3_table_prefix(self, s3_data_dir: str) -> str:
+        """
+        Returns the root location for storing tables in S3.
+        This is `s3_data_dir`, if set, and `s3_staging_dir/tables/` if not.
+        We generate a value here even if `s3_data_dir` is not set,
+        since creating a seed table requires a non-default location.
+        """
         conn = self.connections.get_thread_connection()
-        client = conn.handle
-        return f"{client.s3_staging_dir}tables/{str(uuid4())}/"
+        creds = conn.credentials
+        if s3_data_dir is not None:
+            return s3_data_dir
+        else:
+            return path.join(creds.s3_staging_dir, "tables")
 
     @available
-    def s3_unique_location(self, external_location, strict_location, staging_dir, relation_name):
+    def s3_table_location(self, s3_data_dir: str, s3_data_naming: str, schema_name: str, table_name: str) -> str:
         """
-        Generate a unique not overlapping location.
+        Returns either a UUID or database/table prefix for storing a table,
+        depending on the value of s3_table
         """
-        unique_id = str(uuid4())
-        if external_location is not None:
-            if not strict_location:
-                if external_location.endswith("/"):
-                    external_location = external_location[:-1]
-                external_location = f"{external_location}_{unique_id}/"
-        else:
-            base_path = path.join(staging_dir, f"{relation_name}_{unique_id}")
-            external_location = f"{base_path}/"
-        return external_location
+        mapping = {
+            "uuid": path.join(self.s3_table_prefix(s3_data_dir), str(uuid4())) + "/",
+            "table": path.join(self.s3_table_prefix(s3_data_dir), table_name) + "/",
+            "table_unique": path.join(self.s3_table_prefix(s3_data_dir), table_name, str(uuid4())) + "/",
+            "schema_table": path.join(self.s3_table_prefix(s3_data_dir), schema_name, table_name) + "/",
+            "schema_table_unique": path.join(self.s3_table_prefix(s3_data_dir), schema_name, table_name, str(uuid4()))
+            + "/",
+        }
+
+        table_location = mapping.get(s3_data_naming)
+
+        if table_location is None:
+            raise ValueError(f"Unknown value for s3_data_naming: {s3_data_naming}")
+
+        return table_location
 
     @available
     def clean_up_partitions(self, database_name: str, table_name: str, where_condition: str):

dbt/include/athena/macros/materializations/models/helpers_iceberg.sql

@@ -50,20 +50,23 @@
 
 {% macro create_iceberg_table_definition(relation, dest_columns) -%}
   {%- set external_location = config.get('external_location', default=none) -%}
-  {%- set strict_location = config.get('strict_location', default=true) -%}
   {%- set partitioned_by = config.get('partitioned_by', default=none) -%}
   {%- set table_properties = config.get('table_properties', default={}) -%}
   {%- set _ = table_properties.update({'table_type': 'ICEBERG'}) -%}
   {%- set table_properties_formatted = [] -%}
   {%- set dest_columns_with_type = [] -%}
+  {%- set s3_data_dir = config.get('s3_data_dir', default=target.s3_data_dir) -%}
+  {%- set s3_data_naming = config.get('s3_data_naming', default=target.s3_data_naming) -%}
 
   {%- for k in table_properties -%}
   	{% set _ = table_properties_formatted.append("'" + k + "'='" + table_properties[k] + "'") -%}
   {%- endfor -%}
 
   {%- set table_properties_csv= table_properties_formatted | join(', ') -%}
 
-  {%- set external_location = adapter.s3_unique_location(external_location, strict_location, target.s3_staging_dir, relation.name) -%}
+  {%- if external_location is none %}
+    {%- set  external_location = adapter.s3_table_location(s3_data_dir, s3_data_naming, relation.schema, relation.identifier) -%}
+  {%- endif %}
 
   {%- for col in dest_columns -%}
 	{% set dtype = iceberg_data_type(col.dtype) -%}

dbt/include/athena/macros/materializations/models/table/create_table_as.sql

@@ -6,13 +6,17 @@
   {%- set field_delimiter = config.get('field_delimiter', default=none) -%}
   {%- set format = config.get('format', default='parquet') -%}
   {%- set write_compression = config.get('write_compression', default=none) -%}
+  {%- set s3_data_dir = config.get('s3_data_dir', default=target.s3_data_dir) -%}
+  {%- set s3_data_naming = config.get('s3_data_naming', default=target.s3_data_naming) -%}
 
   create table
     {{ relation }}
 
     with (
       {%- if external_location is not none and not temporary %}
         external_location='{{ external_location }}',
+      {%- else -%}
+        external_location='{{ adapter.s3_table_location(s3_data_dir, s3_data_naming, relation.schema, relation.identifier) }}',
       {%- endif %}
       {%- if partitioned_by is not none %}
         partitioned_by=ARRAY{{ partitioned_by | tojson | replace('\"', '\'') }},

dbt/include/athena/macros/materializations/seeds/helpers.sql

@@ -10,6 +10,8 @@
 {% macro athena__create_csv_table(model, agate_table) %}
   {%- set column_override = model['config'].get('column_types', {}) -%}
   {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}
+  {%- set s3_data_dir = config.get('s3_data_dir', default=target.s3_data_dir) -%}
+  {%- set s3_data_naming = model['config'].get('s3_data_naming', target.s3_data_naming) -%}
 
   {% set sql %}
     create external table {{ this.render() }} (
@@ -21,7 +23,7 @@
         {%- endfor -%}
     )
     stored as parquet
-    location '{{ adapter.s3_uuid_table_location() }}'
+    location '{{ adapter.s3_table_location(s3_data_dir, s3_data_naming, model["schema"], model["alias"]) }}'
     tblproperties ('classification'='parquet')
   {% endset %}