Add support for Stored Procedure for Apache Spark

.changelog/9793.txt

@@ -0,0 +1,3 @@
+```release-note:enhancement
+bigquery: add `spark_options` field to `google_bigquery_routine` resource
+```

google/services/bigquery/resource_bigquery_routine.go

@@ -147,8 +147,8 @@ imported JAVASCRIPT libraries.`,
 			"language": {
 				Type:         schema.TypeString,
 				Optional:     true,
-				ValidateFunc: verify.ValidateEnum([]string{"SQL", "JAVASCRIPT", ""}),
-				Description:  `The language of the routine. Possible values: ["SQL", "JAVASCRIPT"]`,
+				ValidateFunc: verify.ValidateEnum([]string{"SQL", "JAVASCRIPT", "PYTHON", "JAVA", "SCALA", ""}),
+				Description:  `The language of the routine. Possible values: ["SQL", "JAVASCRIPT", "PYTHON", "JAVA", "SCALA"]`,
 			},
 			"return_table_type": {
 				Type:         schema.TypeString,
@@ -176,6 +176,90 @@ d the order of values or replaced STRUCT field type with RECORD field type, we c
 cannot suppress the recurring diff this causes. As a workaround, we recommend using
 the schema as returned by the API.`,
 			},
+			"spark_options": {
+				Type:        schema.TypeList,
+				Optional:    true,
+				Description: `Optional. If language is one of "PYTHON", "JAVA", "SCALA", this field stores the options for spark stored procedure.`,
+				MaxItems:    1,
+				Elem: &schema.Resource{
+					Schema: map[string]*schema.Schema{
+						"archive_uris": {
+							Type:        schema.TypeList,
+							Computed:    true,
+							Optional:    true,
+							Description: `Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.`,
+							Elem: &schema.Schema{
+								Type: schema.TypeString,
+							},
+						},
+						"connection": {
+							Type:     schema.TypeString,
+							Optional: true,
+							Description: `Fully qualified name of the user-provided Spark connection object.
+Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"`,
+						},
+						"container_image": {
+							Type:        schema.TypeString,
+							Optional:    true,
+							Description: `Custom container image for the runtime environment.`,
+						},
+						"file_uris": {
+							Type:        schema.TypeList,
+							Computed:    true,
+							Optional:    true,
+							Description: `Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.`,
+							Elem: &schema.Schema{
+								Type: schema.TypeString,
+							},
+						},
+						"jar_uris": {
+							Type:        schema.TypeList,
+							Computed:    true,
+							Optional:    true,
+							Description: `JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.`,
+							Elem: &schema.Schema{
+								Type: schema.TypeString,
+							},
+						},
+						"main_class": {
+							Type:     schema.TypeString,
+							Optional: true,
+							Description: `The fully qualified name of a class in jarUris, for example, com.example.wordcount.
+Exactly one of mainClass and main_jar_uri field should be set for Java/Scala language type.`,
+						},
+						"main_file_uri": {
+							Type:     schema.TypeString,
+							Optional: true,
+							Description: `The main file/jar URI of the Spark application.
+Exactly one of the definitionBody field and the mainFileUri field must be set for Python.
+Exactly one of mainClass and mainFileUri field should be set for Java/Scala language type.`,
+						},
+						"properties": {
+							Type:     schema.TypeMap,
+							Computed: true,
+							Optional: true,
+							Description: `Configuration properties as a set of key/value pairs, which will be passed on to the Spark application.
+For more information, see Apache Spark and the procedure option list.
+An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.`,
+							Elem: &schema.Schema{Type: schema.TypeString},
+						},
+						"py_file_uris": {
+							Type:        schema.TypeList,
+							Computed:    true,
+							Optional:    true,
+							Description: `Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.`,
+							Elem: &schema.Schema{
+								Type: schema.TypeString,
+							},
+						},
+						"runtime_version": {
+							Type:        schema.TypeString,
+							Optional:    true,
+							Description: `Runtime version. If not specified, the default runtime version is used.`,
+						},
+					},
+				},
+			},
 			"creation_time": {
 				Type:     schema.TypeInt,
 				Computed: true,
@@ -267,6 +351,12 @@ func resourceBigQueryRoutineCreate(d *schema.ResourceData, meta interface{}) err
 	} else if v, ok := d.GetOkExists("determinism_level"); !tpgresource.IsEmptyValue(reflect.ValueOf(determinismLevelProp)) && (ok || !reflect.DeepEqual(v, determinismLevelProp)) {
 		obj["determinismLevel"] = determinismLevelProp
 	}
+	sparkOptionsProp, err := expandBigQueryRoutineSparkOptions(d.Get("spark_options"), d, config)
+	if err != nil {
+		return err
+	} else if v, ok := d.GetOkExists("spark_options"); !tpgresource.IsEmptyValue(reflect.ValueOf(sparkOptionsProp)) && (ok || !reflect.DeepEqual(v, sparkOptionsProp)) {
+		obj["sparkOptions"] = sparkOptionsProp
+	}
 
 	url, err := tpgresource.ReplaceVars(d, config, "{{BigQueryBasePath}}projects/{{project}}/datasets/{{dataset_id}}/routines")
 	if err != nil {
@@ -400,6 +490,9 @@ func resourceBigQueryRoutineRead(d *schema.ResourceData, meta interface{}) error
 	if err := d.Set("determinism_level", flattenBigQueryRoutineDeterminismLevel(res["determinismLevel"], d, config)); err != nil {
 		return fmt.Errorf("Error reading Routine: %s", err)
 	}
+	if err := d.Set("spark_options", flattenBigQueryRoutineSparkOptions(res["sparkOptions"], d, config)); err != nil {
+		return fmt.Errorf("Error reading Routine: %s", err)
+	}
 
 	return nil
 }
@@ -480,6 +573,12 @@ func resourceBigQueryRoutineUpdate(d *schema.ResourceData, meta interface{}) err
 	} else if v, ok := d.GetOkExists("determinism_level"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, determinismLevelProp)) {
 		obj["determinismLevel"] = determinismLevelProp
 	}
+	sparkOptionsProp, err := expandBigQueryRoutineSparkOptions(d.Get("spark_options"), d, config)
+	if err != nil {
+		return err
+	} else if v, ok := d.GetOkExists("spark_options"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, sparkOptionsProp)) {
+		obj["sparkOptions"] = sparkOptionsProp
+	}
 
 	url, err := tpgresource.ReplaceVars(d, config, "{{BigQueryBasePath}}projects/{{project}}/datasets/{{dataset_id}}/routines/{{routine_id}}")
 	if err != nil {
@@ -727,6 +826,77 @@ func flattenBigQueryRoutineDeterminismLevel(v interface{}, d *schema.ResourceDat
 	return v
 }
 
+func flattenBigQueryRoutineSparkOptions(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	if v == nil {
+		return nil
+	}
+	original := v.(map[string]interface{})
+	if len(original) == 0 {
+		return nil
+	}
+	transformed := make(map[string]interface{})
+	transformed["connection"] =
+		flattenBigQueryRoutineSparkOptionsConnection(original["connection"], d, config)
+	transformed["runtime_version"] =
+		flattenBigQueryRoutineSparkOptionsRuntimeVersion(original["runtimeVersion"], d, config)
+	transformed["container_image"] =
+		flattenBigQueryRoutineSparkOptionsContainerImage(original["containerImage"], d, config)
+	transformed["properties"] =
+		flattenBigQueryRoutineSparkOptionsProperties(original["properties"], d, config)
+	transformed["main_file_uri"] =
+		flattenBigQueryRoutineSparkOptionsMainFileUri(original["mainFileUri"], d, config)
+	transformed["py_file_uris"] =
+		flattenBigQueryRoutineSparkOptionsPyFileUris(original["pyFileUris"], d, config)
+	transformed["jar_uris"] =
+		flattenBigQueryRoutineSparkOptionsJarUris(original["jarUris"], d, config)
+	transformed["file_uris"] =
+		flattenBigQueryRoutineSparkOptionsFileUris(original["fileUris"], d, config)
+	transformed["archive_uris"] =
+		flattenBigQueryRoutineSparkOptionsArchiveUris(original["archiveUris"], d, config)
+	transformed["main_class"] =
+		flattenBigQueryRoutineSparkOptionsMainClass(original["mainClass"], d, config)
+	return []interface{}{transformed}
+}
+func flattenBigQueryRoutineSparkOptionsConnection(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsRuntimeVersion(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsContainerImage(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsProperties(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsMainFileUri(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsPyFileUris(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsJarUris(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsFileUris(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsArchiveUris(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
+func flattenBigQueryRoutineSparkOptionsMainClass(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
 func expandBigQueryRoutineRoutineReference(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
 
 	transformed := make(map[string]interface{})
@@ -852,3 +1022,132 @@ func expandBigQueryRoutineDescription(v interface{}, d tpgresource.TerraformReso
 func expandBigQueryRoutineDeterminismLevel(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
 	return v, nil
 }
+
+func expandBigQueryRoutineSparkOptions(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	l := v.([]interface{})
+	if len(l) == 0 || l[0] == nil {
+		return nil, nil
+	}
+	raw := l[0]
+	original := raw.(map[string]interface{})
+	transformed := make(map[string]interface{})
+
+	transformedConnection, err := expandBigQueryRoutineSparkOptionsConnection(original["connection"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedConnection); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["connection"] = transformedConnection
+	}
+
+	transformedRuntimeVersion, err := expandBigQueryRoutineSparkOptionsRuntimeVersion(original["runtime_version"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedRuntimeVersion); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["runtimeVersion"] = transformedRuntimeVersion
+	}
+
+	transformedContainerImage, err := expandBigQueryRoutineSparkOptionsContainerImage(original["container_image"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedContainerImage); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["containerImage"] = transformedContainerImage
+	}
+
+	transformedProperties, err := expandBigQueryRoutineSparkOptionsProperties(original["properties"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedProperties); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["properties"] = transformedProperties
+	}
+
+	transformedMainFileUri, err := expandBigQueryRoutineSparkOptionsMainFileUri(original["main_file_uri"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedMainFileUri); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["mainFileUri"] = transformedMainFileUri
+	}
+
+	transformedPyFileUris, err := expandBigQueryRoutineSparkOptionsPyFileUris(original["py_file_uris"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedPyFileUris); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["pyFileUris"] = transformedPyFileUris
+	}
+
+	transformedJarUris, err := expandBigQueryRoutineSparkOptionsJarUris(original["jar_uris"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedJarUris); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["jarUris"] = transformedJarUris
+	}
+
+	transformedFileUris, err := expandBigQueryRoutineSparkOptionsFileUris(original["file_uris"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedFileUris); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["fileUris"] = transformedFileUris
+	}
+
+	transformedArchiveUris, err := expandBigQueryRoutineSparkOptionsArchiveUris(original["archive_uris"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedArchiveUris); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["archiveUris"] = transformedArchiveUris
+	}
+
+	transformedMainClass, err := expandBigQueryRoutineSparkOptionsMainClass(original["main_class"], d, config)
+	if err != nil {
+		return nil, err
+	} else if val := reflect.ValueOf(transformedMainClass); val.IsValid() && !tpgresource.IsEmptyValue(val) {
+		transformed["mainClass"] = transformedMainClass
+	}
+
+	return transformed, nil
+}
+
+func expandBigQueryRoutineSparkOptionsConnection(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
+func expandBigQueryRoutineSparkOptionsRuntimeVersion(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
+func expandBigQueryRoutineSparkOptionsContainerImage(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
+func expandBigQueryRoutineSparkOptionsProperties(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (map[string]string, error) {
+	if v == nil {
+		return map[string]string{}, nil
+	}
+	m := make(map[string]string)
+	for k, val := range v.(map[string]interface{}) {
+		m[k] = val.(string)
+	}
+	return m, nil
+}
+
+func expandBigQueryRoutineSparkOptionsMainFileUri(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
+func expandBigQueryRoutineSparkOptionsPyFileUris(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
+func expandBigQueryRoutineSparkOptionsJarUris(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
+func expandBigQueryRoutineSparkOptionsFileUris(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
+func expandBigQueryRoutineSparkOptionsArchiveUris(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
+func expandBigQueryRoutineSparkOptionsMainClass(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}