New resource: azurerm_stream_analytics_reference_input_blob

azurerm/provider.go

@@ -474,6 +474,7 @@ func Provider() terraform.ResourceProvider {
 		"azurerm_stream_analytics_output_eventhub":                                       resourceArmStreamAnalyticsOutputEventHub(),
 		"azurerm_stream_analytics_output_servicebus_queue":                               resourceArmStreamAnalyticsOutputServiceBusQueue(),
 		"azurerm_stream_analytics_output_servicebus_topic":                               resourceArmStreamAnalyticsOutputServiceBusTopic(),
+		"azurerm_stream_analytics_reference_input_blob":                                  resourceArmStreamAnalyticsReferenceInputBlob(),
 		"azurerm_stream_analytics_stream_input_blob":                                     resourceArmStreamAnalyticsStreamInputBlob(),
 		"azurerm_stream_analytics_stream_input_eventhub":                                 resourceArmStreamAnalyticsStreamInputEventHub(),
 		"azurerm_stream_analytics_stream_input_iothub":                                   resourceArmStreamAnalyticsStreamInputIoTHub(),

azurerm/resource_arm_stream_analytics_reference_input_blob.go

@@ -0,0 +1,281 @@
+package azurerm
+
+import (
+	"context"
+	"fmt"
+	"log"
+	"time"
+
+	"github.com/Azure/azure-sdk-for-go/services/streamanalytics/mgmt/2016-03-01/streamanalytics"
+	"github.com/hashicorp/go-azure-helpers/response"
+	"github.com/hashicorp/terraform-plugin-sdk/helper/schema"
+	"github.com/terraform-providers/terraform-provider-azurerm/azurerm/helpers/azure"
+	"github.com/terraform-providers/terraform-provider-azurerm/azurerm/helpers/tf"
+	"github.com/terraform-providers/terraform-provider-azurerm/azurerm/helpers/validate"
+	"github.com/terraform-providers/terraform-provider-azurerm/azurerm/internal/features"
+	"github.com/terraform-providers/terraform-provider-azurerm/azurerm/internal/timeouts"
+	"github.com/terraform-providers/terraform-provider-azurerm/azurerm/utils"
+)
+
+func resourceArmStreamAnalyticsReferenceInputBlob() *schema.Resource {
+	return &schema.Resource{
+		Create: resourceArmStreamAnalyticsReferenceInputBlobCreate,
+		Read:   resourceArmStreamAnalyticsReferenceInputBlobRead,
+		Update: resourceArmStreamAnalyticsReferenceInputBlobUpdate,
+		Delete: resourceArmStreamAnalyticsReferenceInputBlobDelete,
+		Importer: &schema.ResourceImporter{
+			State: schema.ImportStatePassthrough,
+		},
+
+		Timeouts: &schema.ResourceTimeout{
+			Create: schema.DefaultTimeout(30 * time.Minute),
+			Read:   schema.DefaultTimeout(5 * time.Minute),
+			Update: schema.DefaultTimeout(30 * time.Minute),
+			Delete: schema.DefaultTimeout(30 * time.Minute),
+		},
+
+		Schema: map[string]*schema.Schema{
+			"name": {
+				Type:         schema.TypeString,
+				Required:     true,
+				ForceNew:     true,
+				ValidateFunc: validate.NoEmptyStrings,
+			},
+
+			"stream_analytics_job_name": {
+				Type:         schema.TypeString,
+				Required:     true,
+				ForceNew:     true,
+				ValidateFunc: validate.NoEmptyStrings,
+			},
+
+			"resource_group_name": azure.SchemaResourceGroupName(),
+
+			"date_format": {
+				Type:         schema.TypeString,
+				Required:     true,
+				ValidateFunc: validate.NoEmptyStrings,
+			},
+
+			"path_pattern": {
+				Type:         schema.TypeString,
+				Required:     true,
+				ValidateFunc: validate.NoEmptyStrings,
+			},
+
+			"storage_account_key": {
+				Type:         schema.TypeString,
+				Required:     true,
+				Sensitive:    true,
+				ValidateFunc: validate.NoEmptyStrings,
+			},
+
+			"storage_account_name": {
+				Type:         schema.TypeString,
+				Required:     true,
+				ValidateFunc: validate.NoEmptyStrings,
+			},
+
+			"storage_container_name": {
+				Type:         schema.TypeString,
+				Required:     true,
+				ValidateFunc: validate.NoEmptyStrings,
+			},
+
+			"time_format": {
+				Type:         schema.TypeString,
+				Required:     true,
+				ValidateFunc: validate.NoEmptyStrings,
+			},
+
+			"serialization": azure.SchemaStreamAnalyticsStreamInputSerialization(),
+		},
+	}
+}
+
+func getBlobReferenceInputProps(ctx context.Context, d *schema.ResourceData) (streamanalytics.Input, error) {
+	name := d.Get("name").(string)
+	containerName := d.Get("storage_container_name").(string)
+	dateFormat := d.Get("date_format").(string)
+	pathPattern := d.Get("path_pattern").(string)
+	storageAccountKey := d.Get("storage_account_key").(string)
+	storageAccountName := d.Get("storage_account_name").(string)
+	timeFormat := d.Get("time_format").(string)
+
+	serializationRaw := d.Get("serialization").([]interface{})
+	serialization, err := azure.ExpandStreamAnalyticsStreamInputSerialization(serializationRaw)
+	if err != nil {
+		return streamanalytics.Input{}, fmt.Errorf("Error expanding `serialization`: %+v", err)
+	}
+
+	props := streamanalytics.Input{
+		Name: utils.String(name),
+		Properties: &streamanalytics.ReferenceInputProperties{
+			Type: streamanalytics.TypeReference,
+			Datasource: &streamanalytics.BlobReferenceInputDataSource{
+				Type: streamanalytics.TypeBasicReferenceInputDataSourceTypeMicrosoftStorageBlob,
+				BlobReferenceInputDataSourceProperties: &streamanalytics.BlobReferenceInputDataSourceProperties{
+					Container:   utils.String(containerName),
+					DateFormat:  utils.String(dateFormat),
+					PathPattern: utils.String(pathPattern),
+					TimeFormat:  utils.String(timeFormat),
+					StorageAccounts: &[]streamanalytics.StorageAccount{
+						{
+							AccountName: utils.String(storageAccountName),
+							AccountKey:  utils.String(storageAccountKey),
+						},
+					},
+				},
+			},
+			Serialization: serialization,
+		},
+	}
+
+	return props, nil
+}
+
+func resourceArmStreamAnalyticsReferenceInputBlobCreate(d *schema.ResourceData, meta interface{}) error {
+	client := meta.(*ArmClient).StreamAnalytics.InputsClient
+	ctx, cancel := timeouts.ForCreateUpdate(meta.(*ArmClient).StopContext, d)
+	defer cancel()
+
+	log.Printf("[INFO] preparing arguments for Azure Stream Analytics Reference Input Blob creation.")
+	name := d.Get("name").(string)
+	jobName := d.Get("stream_analytics_job_name").(string)
+	resourceGroup := d.Get("resource_group_name").(string)
+
+	if features.ShouldResourcesBeImported() && d.IsNewResource() {
+		existing, err := client.Get(ctx, resourceGroup, jobName, name)
+		if err != nil {
+			if !utils.ResponseWasNotFound(existing.Response) {
+				return fmt.Errorf("Error checking for presence of existing Stream Analytics Reference Input %q (Job %q / Resource Group %q): %s", name, jobName, resourceGroup, err)
+			}
+		}
+
+		if existing.ID != nil && *existing.ID != "" {
+			return tf.ImportAsExistsError("azurerm_stream_analytics_reference_input_blob", *existing.ID)
+		}
+	}
+
+	props, err := getBlobReferenceInputProps(ctx, d)
+	if err != nil {
+		return fmt.Errorf("Error creating the input props for resource creation: %v", err)
+	}
+
+	if _, err := client.CreateOrReplace(ctx, props, resourceGroup, jobName, name, "", ""); err != nil {
+		return fmt.Errorf("Error Creating Stream Analytics Reference Input Blob %q (Job %q / Resource Group %q): %+v", name, jobName, resourceGroup, err)
+	}
+
+	read, err := client.Get(ctx, resourceGroup, jobName, name)
+	if err != nil {
+		return fmt.Errorf("Error retrieving Stream Analytics Reference Input Blob %q (Job %q / Resource Group %q): %+v", name, jobName, resourceGroup, err)
+	}
+	if read.ID == nil {
+		return fmt.Errorf("Cannot read ID of Stream Analytics Reference Input Blob %q (Job %q / Resource Group %q)", name, jobName, resourceGroup)
+	}
+
+	d.SetId(*read.ID)
+
+	return resourceArmStreamAnalyticsReferenceInputBlobRead(d, meta)
+}
+
+func resourceArmStreamAnalyticsReferenceInputBlobUpdate(d *schema.ResourceData, meta interface{}) error {
+	client := meta.(*ArmClient).StreamAnalytics.InputsClient
+	ctx, cancel := timeouts.ForCreateUpdate(meta.(*ArmClient).StopContext, d)
+	defer cancel()
+
+	log.Printf("[INFO] preparing arguments for Azure Stream Analytics Reference Input Blob creation.")
+	name := d.Get("name").(string)
+	jobName := d.Get("stream_analytics_job_name").(string)
+	resourceGroup := d.Get("resource_group_name").(string)
+
+	props, err := getBlobReferenceInputProps(ctx, d)
+	if err != nil {
+		return fmt.Errorf("Error creating the input props for resource update: %v", err)
+	}
+
+	if _, err := client.Update(ctx, props, resourceGroup, jobName, name, ""); err != nil {
+		return fmt.Errorf("Error Updating Stream Analytics Reference Input Blob %q (Job %q / Resource Group %q): %+v", name, jobName, resourceGroup, err)
+	}
+
+	return resourceArmStreamAnalyticsReferenceInputBlobRead(d, meta)
+}
+
+func resourceArmStreamAnalyticsReferenceInputBlobRead(d *schema.ResourceData, meta interface{}) error {
+	client := meta.(*ArmClient).StreamAnalytics.InputsClient
+	ctx, cancel := timeouts.ForCreateUpdate(meta.(*ArmClient).StopContext, d)
+	defer cancel()
+
+	id, err := azure.ParseAzureResourceID(d.Id())
+	if err != nil {
+		return err
+	}
+	resourceGroup := id.ResourceGroup
+	jobName := id.Path["streamingjobs"]
+	name := id.Path["inputs"]
+
+	resp, err := client.Get(ctx, resourceGroup, jobName, name)
+	if err != nil {
+		if utils.ResponseWasNotFound(resp.Response) {
+			log.Printf("[DEBUG] Reference Input Blob %q was not found in Stream Analytics Job %q / Resource Group %q - removing from state!", name, jobName, resourceGroup)
+			d.SetId("")
+			return nil
+		}
+
+		return fmt.Errorf("Error retrieving Reference Input Blob %q (Stream Analytics Job %q / Resource Group %q): %+v", name, jobName, resourceGroup, err)
+	}
+
+	d.Set("name", name)
+	d.Set("resource_group_name", resourceGroup)
+	d.Set("stream_analytics_job_name", jobName)
+
+	if props := resp.Properties; props != nil {
+		v, ok := props.AsReferenceInputProperties()
+		if !ok {
+			return fmt.Errorf("Error converting Reference Input Blob to a Reference Input: %+v", err)
+		}
+
+		blobInputDataSource, ok := v.Datasource.AsBlobReferenceInputDataSource()
+		if !ok {
+			return fmt.Errorf("Error converting Reference Input Blob to an Blob Stream Input: %+v", err)
+		}
+
+		d.Set("date_format", blobInputDataSource.DateFormat)
+		d.Set("path_pattern", blobInputDataSource.PathPattern)
+		d.Set("storage_container_name", blobInputDataSource.Container)
+		d.Set("time_format", blobInputDataSource.TimeFormat)
+
+		if accounts := blobInputDataSource.StorageAccounts; accounts != nil && len(*accounts) > 0 {
+			account := (*accounts)[0]
+			d.Set("storage_account_name", account.AccountName)
+		}
+
+		if err := d.Set("serialization", azure.FlattenStreamAnalyticsStreamInputSerialization(v.Serialization)); err != nil {
+			return fmt.Errorf("Error setting `serialization`: %+v", err)
+		}
+	}
+
+	return nil
+}
+
+func resourceArmStreamAnalyticsReferenceInputBlobDelete(d *schema.ResourceData, meta interface{}) error {
+	client := meta.(*ArmClient).StreamAnalytics.InputsClient
+	ctx, cancel := timeouts.ForCreateUpdate(meta.(*ArmClient).StopContext, d)
+	defer cancel()
+
+	id, err := azure.ParseAzureResourceID(d.Id())
+	if err != nil {
+		return err
+	}
+	resourceGroup := id.ResourceGroup
+	jobName := id.Path["streamingjobs"]
+	name := id.Path["inputs"]
+
+	if resp, err := client.Delete(ctx, resourceGroup, jobName, name); err != nil {
+		if !response.WasNotFound(resp.Response) {
+			return fmt.Errorf("Error deleting Reference Input Blob %q (Stream Analytics Job %q / Resource Group %q) %+v", name, jobName, resourceGroup, err)
+		}
+	}
+
+	return nil
+}