Add BigTable source format in BigQuery tables

.changelog/4155.txt

@@ -0,0 +1,3 @@
+```release-note:enhancement
+bigquery: Added BigTable source format in BigQuery table
+```

google/resource_big_query_job.go

@@ -516,7 +516,8 @@ row N is just skipped. Otherwise row N is used to extract column names for the d
 							ForceNew: true,
 							Description: `The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP".
 For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET".
-For orc, specify "ORC". The default value is CSV.`,
+For orc, specify "ORC". [Beta] For Bigtable, specify "BIGTABLE".
+The default value is CSV.`,
 							Default: "CSV",
 						},
 						"time_partitioning": {

google/resource_bigquery_table.go

@@ -389,7 +389,7 @@ func resourceBigQueryTable() *schema.Resource {
 							Required:    true,
 							Description: `The data format. Supported values are: "CSV", "GOOGLE_SHEETS", "NEWLINE_DELIMITED_JSON", "AVRO", "PARQUET", "ORC" and "DATASTORE_BACKUP". To use "GOOGLE_SHEETS" the scopes must include "googleapis.com/auth/drive.readonly".`,
 							ValidateFunc: validation.StringInSlice([]string{
-								"CSV", "GOOGLE_SHEETS", "NEWLINE_DELIMITED_JSON", "AVRO", "DATASTORE_BACKUP", "PARQUET", "ORC",
+								"CSV", "GOOGLE_SHEETS", "NEWLINE_DELIMITED_JSON", "AVRO", "DATASTORE_BACKUP", "PARQUET", "ORC", "BIGTABLE",
 							}, false),
 						},
 						// SourceURIs [Required] The fully-qualified URIs that point to your data in Google Cloud.

google/resource_bigquery_table_test.go

@@ -425,6 +425,32 @@ func TestAccBigQueryExternalDataTable_CSV(t *testing.T) {
 	})
 }
 
+func TestAccBigQueryDataTable_bigtable(t *testing.T) {
+	t.Parallel()
+
+	context := map[string]interface{}{
+		"random_suffix": randString(t, 8),
+		"project":       getTestProjectFromEnv(),
+	}
+
+	vcrTest(t, resource.TestCase{
+		PreCheck:     func() { testAccPreCheck(t) },
+		Providers:    testAccProviders,
+		CheckDestroy: testAccCheckBigQueryTableDestroyProducer(t),
+		Steps: []resource.TestStep{
+			{
+				Config: testAccBigQueryTableFromBigtable(context),
+			},
+			{
+				ResourceName:            "google_bigquery_table.table",
+				ImportState:             true,
+				ImportStateVerify:       true,
+				ImportStateVerifyIgnore: []string{"deletion_protection"},
+			},
+		},
+	})
+}
+
 func TestAccBigQueryDataTable_sheet(t *testing.T) {
 	t.Parallel()
 
@@ -1406,6 +1432,53 @@ resource "google_bigquery_table" "test" {
 `, datasetID, bucketName, objectName, content, tableID, format, quoteChar)
 }
 
+func testAccBigQueryTableFromBigtable(context map[string]interface{}) string {
+	return Nprintf(`
+	resource "google_bigtable_instance" "instance" {
+		name = "tf-test-bigtable-inst-%{random_suffix}"
+		cluster {
+			cluster_id = "tf-test-bigtable-%{random_suffix}"
+			zone       = "us-central1-b"
+		}
+		instance_type = "DEVELOPMENT"
+		deletion_protection = false
+	}
+	resource "google_bigtable_table" "table" {
+		name          = "%{random_suffix}"
+		instance_name = google_bigtable_instance.instance.name
+		column_family {
+			family = "cf-%{random_suffix}-first"
+		}
+		column_family {
+			family = "cf-%{random_suffix}-second"
+		}
+	}
+	resource "google_bigquery_table" "table" {
+		deletion_protection = false
+		dataset_id = google_bigquery_dataset.dataset.dataset_id
+		table_id   = "tf_test_bigtable_%{random_suffix}"
+		external_data_configuration {
+		  autodetect            = true
+		  source_format         = "BIGTABLE"
+		  ignore_unknown_values = true
+		  source_uris = [
+			"https://googleapis.com/bigtable/${google_bigtable_table.table.id}",
+		  ]
+		}
+	  }
+	  resource "google_bigquery_dataset" "dataset" {
+		dataset_id                  = "tf_test_ds_%{random_suffix}"
+		friendly_name               = "test"
+		description                 = "This is a test description"
+		location                    = "EU"
+		default_table_expiration_ms = 3600000
+		labels = {
+		  env = "default"
+		}
+	  }
+`, context)
+}
+
 func testAccBigQueryTableFromSheet(context map[string]interface{}) string {
 	return Nprintf(`
   resource "google_bigquery_table" "table" {

website/docs/r/bigquery_job.html.markdown

@@ -644,7 +644,8 @@ The `load` block supports:
   (Optional)
   The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP".
   For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET".
-  For orc, specify "ORC". The default value is CSV.
+  For orc, specify "ORC". [Beta] For Bigtable, specify "BIGTABLE".
+  The default value is CSV.
 
 * `allow_jagged_rows` -
   (Optional)

website/docs/r/bigquery_table.html.markdown

@@ -186,8 +186,8 @@ The `external_data_configuration` block supports:
     `google_bigquery_table.schema`
 
 * `source_format` (Required) - The data format. Supported values are:
-    "CSV", "GOOGLE_SHEETS", "NEWLINE_DELIMITED_JSON", "AVRO", "PARQUET", "ORC"
-    and "DATASTORE_BACKUP". To use "GOOGLE_SHEETS"
+    "CSV", "GOOGLE_SHEETS", "NEWLINE_DELIMITED_JSON", "AVRO", "PARQUET", "ORC",
+    "DATSTORE_BACKUP", and "BIGTABLE". To use "GOOGLE_SHEETS"
     the `scopes` must include
     "https://www.googleapis.com/auth/drive.readonly".