com.pulumi.azurenative.machinelearningservices.kotlin.MachineLearningDatastore.kt Maven / Gradle / Ivy
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azurenative.machinelearningservices.kotlin
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.DatastoreResponse
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.IdentityResponse
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.SkuResponse
import com.pulumi.core.Output
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.Map
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.DatastoreResponse.Companion.toKotlin as datastoreResponseToKotlin
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.IdentityResponse.Companion.toKotlin as identityResponseToKotlin
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.SkuResponse.Companion.toKotlin as skuResponseToKotlin
/**
* Builder for [MachineLearningDatastore].
*/
@PulumiTagMarker
public class MachineLearningDatastoreResourceBuilder internal constructor() {
public var name: String? = null
public var args: MachineLearningDatastoreArgs = MachineLearningDatastoreArgs()
public var opts: CustomResourceOptions = CustomResourceOptions()
/**
* @param name The _unique_ name of the resulting resource.
*/
public fun name(`value`: String) {
this.name = value
}
/**
* @param block The arguments to use to populate this resource's properties.
*/
public suspend fun args(block: suspend MachineLearningDatastoreArgsBuilder.() -> Unit) {
val builder = MachineLearningDatastoreArgsBuilder()
block(builder)
this.args = builder.build()
}
/**
* @param block A bag of options that control this resource's behavior.
*/
public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
}
internal fun build(): MachineLearningDatastore {
val builtJavaResource =
com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore(
this.name,
this.args.toJava(),
this.opts.toJava(),
)
return MachineLearningDatastore(builtJavaResource)
}
}
/**
* Machine Learning datastore object wrapped into ARM resource envelope.
* Azure REST API version: 2020-05-01-preview. Prior API version in Azure Native 1.x: 2020-05-01-preview.
* ## Example Usage
* ### Create ADLS Datastore
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
* {
* ClientId = "233d7008-b157-4354-88d1-ba191f06a900",
* ClientSecret = "vdvgdvdvdv",
* DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Adls,
* DatastoreName = "adlsDatastore",
* ResourceGroupName = "acjain-mleastUS2",
* StoreName = "stanley",
* TenantId = "72f988bf-86f1-41af-91ab-2d7cd011db47",
* WorkspaceName = "acjain-mleastUS2",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
* ClientId: pulumi.String("233d7008-b157-4354-88d1-ba191f06a900"),
* ClientSecret: pulumi.String("vdvgdvdvdv"),
* DataStoreType: pulumi.String(machinelearningservices.DatastoreTypeArmAdls),
* DatastoreName: pulumi.String("adlsDatastore"),
* ResourceGroupName: pulumi.String("acjain-mleastUS2"),
* StoreName: pulumi.String("stanley"),
* TenantId: pulumi.String("72f988bf-86f1-41af-91ab-2d7cd011db47"),
* WorkspaceName: pulumi.String("acjain-mleastUS2"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
* .clientId("233d7008-b157-4354-88d1-ba191f06a900")
* .clientSecret("vdvgdvdvdv")
* .dataStoreType("adls")
* .datastoreName("adlsDatastore")
* .resourceGroupName("acjain-mleastUS2")
* .storeName("stanley")
* .tenantId("72f988bf-86f1-41af-91ab-2d7cd011db47")
* .workspaceName("acjain-mleastUS2")
* .build());
* }
* }
* ```
* ### Create ADLS Gen2 Datastore
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
* {
* AccountName = "nicksadlsgen2storage",
* ClientId = "233d7008-b157-4354-88d1-ba191f06a900",
* ClientSecret = "vdegbvedgeg",
* DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Adls_gen2,
* DatastoreName = "adlsgen2Datastore",
* FileSystem = "testfs1",
* ResourceGroupName = "acjain-mleastUS2",
* TenantId = "72f988bf-86f1-41af-91ab-2d7cd011db47",
* WorkspaceName = "acjain-mleastUS2",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
* AccountName: pulumi.String("nicksadlsgen2storage"),
* ClientId: pulumi.String("233d7008-b157-4354-88d1-ba191f06a900"),
* ClientSecret: pulumi.String("vdegbvedgeg"),
* DataStoreType: pulumi.String(machinelearningservices.DatastoreTypeArm_Adls_Gen2),
* DatastoreName: pulumi.String("adlsgen2Datastore"),
* FileSystem: pulumi.String("testfs1"),
* ResourceGroupName: pulumi.String("acjain-mleastUS2"),
* TenantId: pulumi.String("72f988bf-86f1-41af-91ab-2d7cd011db47"),
* WorkspaceName: pulumi.String("acjain-mleastUS2"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
* .accountName("nicksadlsgen2storage")
* .clientId("233d7008-b157-4354-88d1-ba191f06a900")
* .clientSecret("vdegbvedgeg")
* .dataStoreType("adls-gen2")
* .datastoreName("adlsgen2Datastore")
* .fileSystem("testfs1")
* .resourceGroupName("acjain-mleastUS2")
* .tenantId("72f988bf-86f1-41af-91ab-2d7cd011db47")
* .workspaceName("acjain-mleastUS2")
* .build());
* }
* }
* ```
* ### Create Blob Datastore
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
* {
* AccountKey = "wddrfewfewsgewgrrwegwreg",
* AccountName = "acjainmleastus9484093746",
* ContainerName = "azureml-blobstore-5da947c5-53aa-41a5-bb2b-074074e73b7",
* DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Blob,
* DatastoreName = "blobDatastore",
* ResourceGroupName = "acjain-mleastUS2",
* WorkspaceName = "acjain-mleastUS2",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
* AccountKey: pulumi.String("wddrfewfewsgewgrrwegwreg"),
* AccountName: pulumi.String("acjainmleastus9484093746"),
* ContainerName: pulumi.String("azureml-blobstore-5da947c5-53aa-41a5-bb2b-074074e73b7"),
* DataStoreType: pulumi.String(machinelearningservices.DatastoreTypeArmBlob),
* DatastoreName: pulumi.String("blobDatastore"),
* ResourceGroupName: pulumi.String("acjain-mleastUS2"),
* WorkspaceName: pulumi.String("acjain-mleastUS2"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
* .accountKey("wddrfewfewsgewgrrwegwreg")
* .accountName("acjainmleastus9484093746")
* .containerName("azureml-blobstore-5da947c5-53aa-41a5-bb2b-074074e73b7")
* .dataStoreType("blob")
* .datastoreName("blobDatastore")
* .resourceGroupName("acjain-mleastUS2")
* .workspaceName("acjain-mleastUS2")
* .build());
* }
* }
* ```
* ### Create Databricks File System Datastore
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
* {
* DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Dbfs,
* DatastoreName = "blobDatastore",
* ResourceGroupName = "acjain-mleastUS2",
* WorkspaceName = "acjain-mleastUS2",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
* DataStoreType: pulumi.String(machinelearningservices.DatastoreTypeArmDbfs),
* DatastoreName: pulumi.String("blobDatastore"),
* ResourceGroupName: pulumi.String("acjain-mleastUS2"),
* WorkspaceName: pulumi.String("acjain-mleastUS2"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
* .dataStoreType("dbfs")
* .datastoreName("blobDatastore")
* .resourceGroupName("acjain-mleastUS2")
* .workspaceName("acjain-mleastUS2")
* .build());
* }
* }
* ```
* ### Create File Datastore
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
* {
* AccountKey = "wddrfewfewsgewgrrwegwreg",
* AccountName = "acjainmleastus9484093746",
* DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.File,
* DatastoreName = "fileDatastore",
* ResourceGroupName = "acjain-mleastUS2",
* ShareName = "azureml-filestore-5da947c5-53aa-41a5-bb2b-074074e73b76",
* WorkspaceName = "acjain-mleastUS2",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
* AccountKey: pulumi.String("wddrfewfewsgewgrrwegwreg"),
* AccountName: pulumi.String("acjainmleastus9484093746"),
* DataStoreType: pulumi.String(machinelearningservices.DatastoreTypeArmFile),
* DatastoreName: pulumi.String("fileDatastore"),
* ResourceGroupName: pulumi.String("acjain-mleastUS2"),
* ShareName: pulumi.String("azureml-filestore-5da947c5-53aa-41a5-bb2b-074074e73b76"),
* WorkspaceName: pulumi.String("acjain-mleastUS2"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
* .accountKey("wddrfewfewsgewgrrwegwreg")
* .accountName("acjainmleastus9484093746")
* .dataStoreType("file")
* .datastoreName("fileDatastore")
* .resourceGroupName("acjain-mleastUS2")
* .shareName("azureml-filestore-5da947c5-53aa-41a5-bb2b-074074e73b76")
* .workspaceName("acjain-mleastUS2")
* .build());
* }
* }
* ```
* ### Create MySQL Datastore
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
* {
* DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Mysqldb,
* DatabaseName = "dataset",
* DatastoreName = "mySqlDatastore",
* Password = "",
* ResourceGroupName = "acjain-mleastUS2",
* ServerName = "dataset-mysql-srv",
* UserId = "demo_user@dataset-mysql-srv",
* WorkspaceName = "acjain-mleastUS2",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
* DataStoreType: pulumi.String(machinelearningservices.DatastoreTypeArmMysqldb),
* DatabaseName: pulumi.String("dataset"),
* DatastoreName: pulumi.String("mySqlDatastore"),
* Password: pulumi.String(""),
* ResourceGroupName: pulumi.String("acjain-mleastUS2"),
* ServerName: pulumi.String("dataset-mysql-srv"),
* UserId: pulumi.String("demo_user@dataset-mysql-srv"),
* WorkspaceName: pulumi.String("acjain-mleastUS2"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
* .dataStoreType("mysqldb")
* .databaseName("dataset")
* .datastoreName("mySqlDatastore")
* .password("")
* .resourceGroupName("acjain-mleastUS2")
* .serverName("dataset-mysql-srv")
* .userId("demo_user@dataset-mysql-srv")
* .workspaceName("acjain-mleastUS2")
* .build());
* }
* }
* ```
* ### Create PostgreSQL Datastore
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
* {
* DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Psqldb,
* DatabaseName = "dataset",
* DatastoreName = "postgreSqlDatastore",
* Password = "",
* ResourceGroupName = "acjain-mleastUS2",
* ServerName = "dataset-pgsql-srv",
* UserId = "demo_user@dataset-pgsql-srv",
* WorkspaceName = "acjain-mleastUS2",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
* DataStoreType: pulumi.String(machinelearningservices.DatastoreTypeArmPsqldb),
* DatabaseName: pulumi.String("dataset"),
* DatastoreName: pulumi.String("postgreSqlDatastore"),
* Password: pulumi.String(""),
* ResourceGroupName: pulumi.String("acjain-mleastUS2"),
* ServerName: pulumi.String("dataset-pgsql-srv"),
* UserId: pulumi.String("demo_user@dataset-pgsql-srv"),
* WorkspaceName: pulumi.String("acjain-mleastUS2"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
* .dataStoreType("psqldb")
* .databaseName("dataset")
* .datastoreName("postgreSqlDatastore")
* .password("")
* .resourceGroupName("acjain-mleastUS2")
* .serverName("dataset-pgsql-srv")
* .userId("demo_user@dataset-pgsql-srv")
* .workspaceName("acjain-mleastUS2")
* .build());
* }
* }
* ```
* ### Create SQL Datastore
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var machineLearningDatastore = new AzureNative.MachineLearningServices.MachineLearningDatastore("machineLearningDatastore", new()
* {
* DataStoreType = AzureNative.MachineLearningServices.DatastoreTypeArm.Sqldb,
* DatabaseName = "dataset",
* DatastoreName = "sqlDatastore",
* Password = "",
* ResourceGroupName = "acjain-mleastUS2",
* ServerName = "dataset-azsql-srv",
* UserName = "demo_user",
* WorkspaceName = "acjain-mleastUS2",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewMachineLearningDatastore(ctx, "machineLearningDatastore", &machinelearningservices.MachineLearningDatastoreArgs{
* DataStoreType: pulumi.String(machinelearningservices.DatastoreTypeArmSqldb),
* DatabaseName: pulumi.String("dataset"),
* DatastoreName: pulumi.String("sqlDatastore"),
* Password: pulumi.String(""),
* ResourceGroupName: pulumi.String("acjain-mleastUS2"),
* ServerName: pulumi.String("dataset-azsql-srv"),
* UserName: pulumi.String("demo_user"),
* WorkspaceName: pulumi.String("acjain-mleastUS2"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore;
* import com.pulumi.azurenative.machinelearningservices.MachineLearningDatastoreArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var machineLearningDatastore = new MachineLearningDatastore("machineLearningDatastore", MachineLearningDatastoreArgs.builder()
* .dataStoreType("sqldb")
* .databaseName("dataset")
* .datastoreName("sqlDatastore")
* .password("")
* .resourceGroupName("acjain-mleastUS2")
* .serverName("dataset-azsql-srv")
* .userName("demo_user")
* .workspaceName("acjain-mleastUS2")
* .build());
* }
* }
* ```
* ## Import
* An existing resource can be imported using its type token, name, and identifier, e.g.
* ```sh
* $ pulumi import azure-native:machinelearningservices:MachineLearningDatastore sqlDatastore /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/datastores/{datastoreName}
* ```
*/
public class MachineLearningDatastore internal constructor(
override val javaResource: com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore,
) : KotlinCustomResource(javaResource, MachineLearningDatastoreMapper) {
/**
* The identity of the resource.
*/
public val identity: Output?
get() = javaResource.identity().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
identityResponseToKotlin(args0)
})
}).orElse(null)
})
/**
* Specifies the location of the resource.
*/
public val location: Output?
get() = javaResource.location().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })
/**
* Specifies the name of the resource.
*/
public val name: Output
get() = javaResource.name().applyValue({ args0 -> args0 })
/**
* Datastore properties
*/
public val properties: Output
get() = javaResource.properties().applyValue({ args0 ->
args0.let({ args0 ->
datastoreResponseToKotlin(args0)
})
})
/**
* The sku of the workspace.
*/
public val sku: Output?
get() = javaResource.sku().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
skuResponseToKotlin(args0)
})
}).orElse(null)
})
/**
* Contains resource tags defined as key/value pairs.
*/
public val tags: Output>?
get() = javaResource.tags().applyValue({ args0 ->
args0.map({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
}).orElse(null)
})
/**
* Specifies the type of the resource.
*/
public val type: Output
get() = javaResource.type().applyValue({ args0 -> args0 })
}
public object MachineLearningDatastoreMapper : ResourceMapper {
override fun supportsMappingOfType(javaResource: Resource): Boolean =
com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore::class == javaResource::class
override fun map(javaResource: Resource): MachineLearningDatastore =
MachineLearningDatastore(
javaResource as
com.pulumi.azurenative.machinelearningservices.MachineLearningDatastore,
)
}
/**
* @see [MachineLearningDatastore].
* @param name The _unique_ name of the resulting resource.
* @param block Builder for [MachineLearningDatastore].
*/
public suspend fun machineLearningDatastore(
name: String,
block: suspend MachineLearningDatastoreResourceBuilder.() -> Unit,
): MachineLearningDatastore {
val builder = MachineLearningDatastoreResourceBuilder()
builder.name(name)
block(builder)
return builder.build()
}
/**
* @see [MachineLearningDatastore].
* @param name The _unique_ name of the resulting resource.
*/
public fun machineLearningDatastore(name: String): MachineLearningDatastore {
val builder = MachineLearningDatastoreResourceBuilder()
builder.name(name)
return builder.build()
}
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