Schedule
data class ScheduleArgs(val name: Output<String>? = null, val resourceGroupName: Output<String>? = null, val scheduleProperties: Output<ScheduleArgs>? = null, val workspaceName: Output<String>? = null) : ConvertibleToJava<ScheduleArgs>
Azure Resource Manager resource envelope. Uses Azure REST API version 2024-10-01. In version 2.x of the Azure Native provider, it used API version 2023-04-01. Other available API versions: 2022-06-01-preview, 2022-10-01, 2022-10-01-preview, 2022-12-01-preview, 2023-02-01-preview, 2023-04-01, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-07-01-preview, 2024-10-01-preview, 2025-01-01-preview. These can be accessed by generating a local SDK package using the CLI command pulumi package add azure-native machinelearningservices [ApiVersion]. See the ../../../version-guide/#accessing-any-api-version-via-local-packages for details.
Example Usage
CreateOrUpdate Schedule.
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
var schedule = new AzureNative.MachineLearningServices.Schedule("schedule", new()
{
Name = "string",
ResourceGroupName = "test-rg",
ScheduleProperties = new AzureNative.MachineLearningServices.Inputs.ScheduleArgs
{
Action = new AzureNative.MachineLearningServices.Inputs.EndpointScheduleActionArgs
{
ActionType = "InvokeBatchEndpoint",
EndpointInvocationDefinition =
{
{ "9965593e-526f-4b89-bb36-761138cf2794", null },
},
},
Description = "string",
DisplayName = "string",
IsEnabled = false,
Properties =
{
{ "string", "string" },
},
Tags =
{
{ "string", "string" },
},
Trigger = new AzureNative.MachineLearningServices.Inputs.CronTriggerArgs
{
EndTime = "string",
Expression = "string",
StartTime = "string",
TimeZone = "string",
TriggerType = "Cron",
},
},
WorkspaceName = "my-aml-workspace",
});
});Content copied to clipboard
package main
import (
machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewSchedule(ctx, "schedule", &machinelearningservices.ScheduleArgs{
Name: pulumi.String("string"),
ResourceGroupName: pulumi.String("test-rg"),
ScheduleProperties: &machinelearningservices.ScheduleTypeArgs{
Action: machinelearningservices.EndpointScheduleAction{
ActionType: "InvokeBatchEndpoint",
EndpointInvocationDefinition: map[string]interface{}{
"9965593e-526f-4b89-bb36-761138cf2794": nil,
},
},
Description: pulumi.String("string"),
DisplayName: pulumi.String("string"),
IsEnabled: pulumi.Bool(false),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
Trigger: machinelearningservices.CronTrigger{
EndTime: "string",
Expression: "string",
StartTime: "string",
TimeZone: "string",
TriggerType: "Cron",
},
},
WorkspaceName: pulumi.String("my-aml-workspace"),
})
if err != nil {
return err
}
return nil
})
}Content copied to clipboard
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.Schedule;
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 schedule = new Schedule("schedule", ScheduleArgs.builder()
.name("string")
.resourceGroupName("test-rg")
.scheduleProperties(ScheduleArgs.builder()
.action(EndpointScheduleActionArgs.builder()
.actionType("InvokeBatchEndpoint")
.endpointInvocationDefinition(Map.of("9965593e-526f-4b89-bb36-761138cf2794", null))
.build())
.description("string")
.displayName("string")
.isEnabled(false)
.properties(Map.of("string", "string"))
.tags(Map.of("string", "string"))
.trigger(CronTriggerArgs.builder()
.endTime("string")
.expression("string")
.startTime("string")
.timeZone("string")
.triggerType("Cron")
.build())
.build())
.workspaceName("my-aml-workspace")
.build());
}
}Content copied to clipboard
Import
An existing resource can be imported using its type token, name, and identifier, e.g.
$ pulumi import azure-native:machinelearningservices:Schedule string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/schedules/{name}Content copied to clipboard
Constructors
Link copied to clipboard
constructor(name: Output<String>? = null, resourceGroupName: Output<String>? = null, scheduleProperties: Output<ScheduleArgs>? = null, workspaceName: Output<String>? = null)