feat: Support partitioning, clustering, and protection properties for BQ tables

datasets/google_trends/_terraform/top_terms_pipeline.tf

@@ -21,7 +21,47 @@ resource "google_bigquery_table" "top_terms" {
   table_id   = "top_terms"
 
   description = "Daily top 25 terms in the United States with score, ranking, time, and designated market area"
+  time_partitioning {
+    type = "DAY"
 
+    field = "refresh_date"
+
+    require_partition_filter = false
+  }
+
+
+  schema = <<EOF
+    [
+  {
+    "name": "rank",
+    "type": "INTEGER"
+  },
+  {
+    "name": "refresh_date",
+    "type": "DATE"
+  },
+  {
+    "name": "dma_name",
+    "type": "STRING"
+  },
+  {
+    "name": "dma_id",
+    "type": "INTEGER"
+  },
+  {
+    "name": "term",
+    "type": "STRING"
+  },
+  {
+    "name": "week",
+    "type": "DATE"
+  },
+  {
+    "name": "score",
+    "type": "INTEGER"
+  }
+]
+    EOF
   depends_on = [
     google_bigquery_dataset.google_trends
   ]
@@ -41,7 +81,47 @@ resource "google_bigquery_table" "top_rising_terms" {
   table_id   = "top_rising_terms"
 
   description = "Daily top rising terms in the United States with score, ranking, time, and designated market area"
+  time_partitioning {
+    type = "DAY"
+
+    field = "refresh_date"
+
+    require_partition_filter = false
+  }
+
 
+  schema = <<EOF
+    [
+  {
+    "name": "rank",
+    "type": "INTEGER"
+  },
+  {
+    "name": "refresh_date",
+    "type": "DATE"
+  },
+  {
+    "name": "dma_name",
+    "type": "STRING"
+  },
+  {
+    "name": "dma_id",
+    "type": "INTEGER"
+  },
+  {
+    "name": "term",
+    "type": "STRING"
+  },
+  {
+    "name": "week",
+    "type": "DATE"
+  },
+  {
+    "name": "score",
+    "type": "INTEGER"
+  }
+]
+    EOF
   depends_on = [
     google_bigquery_dataset.google_trends
   ]

datasets/google_trends/top_terms/pipeline.yaml

@@ -17,10 +17,80 @@ resources:
   - type: bigquery_table
     table_id: top_terms
     description: "Daily top 25 terms in the United States with score, ranking, time, and designated market area"
+    time_partitioning:
+      type: "DAY"
+      field: "refresh_date"
+      require_partition_filter: false
+    schema: |-
+      [
+        {
+          "name": "rank",
+          "type": "INTEGER"
+        },
+        {
+          "name": "refresh_date",
+          "type": "DATE"
+        },
+        {
+          "name": "dma_name",
+          "type": "STRING"
+        },
+        {
+          "name": "dma_id",
+          "type": "INTEGER"
+        },
+        {
+          "name": "term",
+          "type": "STRING"
+        },
+        {
+          "name": "week",
+          "type": "DATE"
+        },
+        {
+          "name": "score",
+          "type": "INTEGER"
+        }
+      ]
 
   - type: bigquery_table
     table_id: top_rising_terms
     description: "Daily top rising terms in the United States with score, ranking, time, and designated market area"
+    time_partitioning:
+      type: "DAY"
+      field: "refresh_date"
+      require_partition_filter: false
+    schema: |-
+      [
+        {
+          "name": "rank",
+          "type": "INTEGER"
+        },
+        {
+          "name": "refresh_date",
+          "type": "DATE"
+        },
+        {
+          "name": "dma_name",
+          "type": "STRING"
+        },
+        {
+          "name": "dma_id",
+          "type": "INTEGER"
+        },
+        {
+          "name": "term",
+          "type": "STRING"
+        },
+        {
+          "name": "week",
+          "type": "DATE"
+        },
+        {
+          "name": "score",
+          "type": "INTEGER"
+        }
+      ]
 
 dag:
   initialize:

samples/pipeline.yaml

@@ -32,9 +32,31 @@ resources:
     #   table_id
     table_id: PIPELINE_FOLDER_NAME
 
+    # Optional Properties:
     # Description of the table
     description: "This is a table description."
 
+    # Time-based partitioning configuration. There is no need for this property
+    # if you have a relatively small dataset to host on a BigQuery table.
+    time_partitioning:
+
+      # The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively.
+      type: "DAY"
+
+      # If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
+      require_partition_filter: false
+
+    # Specifies column names to use for data clustering. Up to four top-level columns are allowed, and should be specified in descending priority order.
+    clustering:
+      - "column_1"
+      - "column_2"
+      - "column_3"
+
+    # The table cannot be deleted without first disabling this property.
+    # Unless this field is set to false in Terraform state, a `terraform destroy`
+    # or `terraform apply` that would delete the table will fail.
+    deletion_protection: true
+
 dag:
   # The DAG acronym stands for directed acyclic graph. This block represents
   # your data pipeline along with every property and configuration it needs to

templates/terraform/google_bigquery_table.tf.jinja2

@@ -23,6 +23,19 @@ resource "google_bigquery_table" "{{ tf_resource_name }}" {
   {% if description -%}
     description = {{ description|tojson }}
   {%- endif %}
+  {% if time_partitioning -%}
+    time_partitioning {
+      {%- for key, val in time_partitioning.items() %}
+        {{ key }} = {{ val|tojson }}
+      {% endfor -%}
+    }
+  {%- endif %}
+  {% if clustering -%}
+    clustering = {{ clustering|tojson }}
+  {%- endif %}
+  {% if deletion_protection -%}
+    deletion_protection = {{ deletion_protection|tojson }}
+  {%- endif %}
   {% if schema -%}
     schema = <<EOF
     {{ schema }}

tests/scripts/test_generate_terraform.py

@@ -542,7 +542,7 @@ def test_dataset_tf_has_no_bq_dataset_description_when_unspecified(
         assert not re.search(r"description\s+\=", result.group(1))
 
 
-def test_pipeline_tf_contains_bq_table_description_when_specified(
+def test_pipeline_tf_contains_optional_properties_when_specified(
     dataset_path,
     pipeline_path,
     project_id,
@@ -571,10 +571,13 @@ def test_pipeline_tf_contains_bq_table_description_when_specified(
     )
     assert bq_table
     assert bq_table["description"]
+    assert bq_table["time_partitioning"]
+    assert bq_table["clustering"]
+    assert bq_table["deletion_protection"]
 
     # Match the "google_bigquery_table" properties, i.e. any lines between the
     # curly braces, in the *_pipeline.tf file
-    regexp = r"\"google_bigquery_table\" \"" + bq_table["table_id"] + r"\" \{(.*?)\}"
+    regexp = r"\"google_bigquery_table\" \"" + bq_table["table_id"] + r"\" \{(.*?)^\}"
     bq_table_tf_string = re.compile(regexp, flags=re.MULTILINE | re.DOTALL)
 
     for path_prefix in (
@@ -587,9 +590,12 @@ def test_pipeline_tf_contains_bq_table_description_when_specified(
 
         assert re.search(r"table_id\s+\=", result.group(1))
         assert re.search(r"description\s+\=", result.group(1))
+        assert re.search(r"time_partitioning\s+\{", result.group(1))
+        assert re.search(r"clustering\s+\=", result.group(1))
+        assert re.search(r"deletion_protection\s+\=", result.group(1))
 
 
-def test_pipeline_tf_has_no_bq_table_description_when_unspecified(
+def test_pipeline_tf_has_no_optional_properties_when_unspecified(
     dataset_path,
     pipeline_path,
     project_id,
@@ -608,6 +614,9 @@ def test_pipeline_tf_has_no_bq_table_description_when_unspecified(
         (r for r in config["resources"] if r["type"] == "bigquery_table"), None
     )
     del bq_table["description"]
+    del bq_table["time_partitioning"]
+    del bq_table["clustering"]
+    del bq_table["deletion_protection"]
     with open(pipeline_path / "pipeline.yaml", "w") as file:
         yaml.dump(config, file)
 
@@ -624,7 +633,7 @@ def test_pipeline_tf_has_no_bq_table_description_when_unspecified(
 
     # Match the "google_bigquery_table" properties, i.e. any lines between the
     # curly braces, in the *_pipeline.tf file
-    regexp = r"\"google_bigquery_table\" \"" + bq_table["table_id"] + r"\" \{(.*?)\}"
+    regexp = r"\"google_bigquery_table\" \"" + bq_table["table_id"] + r"\" \{(.*?)^\}"
     bq_table_tf_string = re.compile(regexp, flags=re.MULTILINE | re.DOTALL)
 
     for path_prefix in (
@@ -637,6 +646,9 @@ def test_pipeline_tf_has_no_bq_table_description_when_unspecified(
 
         assert re.search(r"table_id\s+\=", result.group(1))
         assert not re.search(r"description\s+\=", result.group(1))
+        assert not re.search(r"time_partitioning\s+\{", result.group(1))
+        assert not re.search(r"clustering\s+\=", result.group(1))
+        assert not re.search(r"deletion_protection\s+\=", result.group(1))
 
 
 def test_bq_table_can_have_a_description_with_newlines_and_quotes(