How-To: Schedule and handle triggered jobs
Now that you’ve learned what the jobs building block provides, let’s look at an example of how to use the API. The code example below describes an application that schedules jobs for a database backup application and handles them at trigger time, also known as the time the job was sent back to the application because it reached it’s dueTime.
Start the Scheduler service
When you run dapr init
in either self-hosted mode or on Kubernetes, the Dapr Scheduler service is started.
Set up the Jobs API
In your code, set up and schedule jobs within your application.
The following .NET SDK code sample schedules the job named prod-db-backup
. The job data contains information
about the database that you’ll be seeking to backup regularly. Over the course of this example, you’ll:
- Define types used in the rest of the example
- Register an endpoint during application startup that handles all job trigger invocations on the service
- Register the job with Dapr
In the following example, you’ll create records that you’ll serialize and register alongside the job so the information is available when the job is triggered in the future:
- The name of the backup task (
db-backup
) - The backup task’s
Metadata
, including:- The database name (
DBName
) - The database location (
BackupLocation
)
- The database name (
Create an ASP.NET Core project and add the latest version of Dapr.Jobs
from NuGet.
Note: While it’s not strictly necessary for your project to use the
Microsoft.NET.Sdk.Web
SDK to create jobs, as of the time this documentation is authored, only the service that schedules a job receives trigger invocations for it. As those invocations expect an endpoint that can handle the job trigger and requires theMicrosoft.NET.Sdk.Web
SDK, it’s recommended that you use an ASP.NET Core project for this purpose.
Start by defining types to persist our backup job data and apply our own JSON property name attributes to the properties so they’re consistent with other language examples.
//Define the types that we'll represent the job data with
internal sealed record BackupJobData([property: JsonPropertyName("task")] string Task, [property: JsonPropertyName("metadata")] BackupMetadata Metadata);
internal sealed record BackupMetadata([property: JsonPropertyName("DBName")]string DatabaseName, [property: JsonPropertyName("BackupLocation")] string BackupLocation);
Next, set up a handler as part of your application setup that will be called anytime a job is triggered on your application. It’s the responsibility of this handler to identify how jobs should be processed based on the job name provided.
This works by registering a handler with ASP.NET Core at /job/<job-name>
, where <job-name>
is parameterized and
passed into this handler delegate, meeting Dapr’s expectation that an endpoint is available to handle triggered named jobs.
Populate your Program.cs
file with the following:
using System.Text;
using System.Text.Json;
using Dapr.Jobs;
using Dapr.Jobs.Extensions;
using Dapr.Jobs.Models;
using Dapr.Jobs.Models.Responses;
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddDaprJobsClient();
var app = builder.Build();
//Registers an endpoint to receive and process triggered jobs
var cancellationTokenSource = new CancellationTokenSource(TimeSpan.FromSeconds(5));
app.MapDaprScheduledJobHandler((string jobName, ReadOnlyMemory<byte> jobPayload, ILogger logger, CancellationToken cancellationToken) => {
logger?.LogInformation("Received trigger invocation for job '{jobName}'", jobName);
switch (jobName)
{
case "prod-db-backup":
// Deserialize the job payload metadata
var jobData = JsonSerializer.Deserialize<BackupJobData>(jobPayload);
// Process the backup operation - we assume this is implemented elsewhere in your code
await BackupDatabaseAsync(jobData, cancellationToken);
break;
}
}, cancellationTokenSource.Token);
await app.RunAsync();
Finally, the job itself needs to be registered with Dapr so it can be triggered at a later point in time. You can do this
by injecting a DaprJobsClient
into a class and executing as part of an inbound operation to your application, but for
this example’s purposes, it’ll go at the bottom of the Program.cs
file you started above. Because you’ll be using the
DaprJobsClient
you registered with dependency injection, start by creating a scope so you can access it.
//Create a scope so we can access the registered DaprJobsClient
await using scope = app.Services.CreateAsyncScope();
var daprJobsClient = scope.ServiceProvider.GetRequiredService<DaprJobsClient>();
//Create the payload we wish to present alongside our future job triggers
var jobData = new BackupJobData("db-backup", new BackupMetadata("my-prod-db", "/backup-dir"));
//Serialize our payload to UTF-8 bytes
var serializedJobData = JsonSerializer.SerializeToUtf8Bytes(jobData);
//Schedule our backup job to run every minute, but only repeat 10 times
await daprJobsClient.ScheduleJobAsync("prod-db-backup", DaprJobSchedule.FromDuration(TimeSpan.FromMinutes(1)),
serializedJobData, repeats: 10);
The following Go SDK code sample schedules the job named prod-db-backup
. Job data is housed in a backup database ("my-prod-db"
) and is scheduled with ScheduleJobAlpha1
. This provides the jobData
, which includes:
- The backup
Task
name - The backup task’s
Metadata
, including:- The database name (
DBName
) - The database location (
BackupLocation
)
- The database name (
package main
import (
//...
daprc "github.com/dapr/go-sdk/client"
"github.com/dapr/go-sdk/examples/dist-scheduler/api"
"github.com/dapr/go-sdk/service/common"
daprs "github.com/dapr/go-sdk/service/grpc"
)
func main() {
// Initialize the server
server, err := daprs.NewService(":50070")
// ...
if err = server.AddJobEventHandler("prod-db-backup", prodDBBackupHandler); err != nil {
log.Fatalf("failed to register job event handler: %v", err)
}
log.Println("starting server")
go func() {
if err = server.Start(); err != nil {
log.Fatalf("failed to start server: %v", err)
}
}()
// ...
// Set up backup location
jobData, err := json.Marshal(&api.DBBackup{
Task: "db-backup",
Metadata: api.Metadata{
DBName: "my-prod-db",
BackupLocation: "/backup-dir",
},
},
)
// ...
}
The job is scheduled with a Schedule
set and the amount of Repeats
desired. These settings determine a max amount of times the job should be triggered and sent back to the app.
In this example, at trigger time, which is @every 1s
according to the Schedule
, this job is triggered and sent back to the application up to the max Repeats
(10
).
// ...
// Set up the job
job := daprc.Job{
Name: "prod-db-backup",
Schedule: "@every 1s",
Repeats: 10,
Data: &anypb.Any{
Value: jobData,
},
}
When a job is triggered, Dapr will automatically route the job to the event handler you set up during the server initialization. For example, in Go, you’d register the event handler like this:
...
if err = server.AddJobEventHandler("prod-db-backup", prodDBBackupHandler); err != nil {
log.Fatalf("failed to register job event handler: %v", err)
}
Dapr takes care of the underlying routing. When the job is triggered, your prodDBBackupHandler
function is called with
the triggered job data. Here’s an example of handling the triggered job:
// ...
// At job trigger time this function is called
func prodDBBackupHandler(ctx context.Context, job *common.JobEvent) error {
var jobData common.Job
if err := json.Unmarshal(job.Data, &jobData); err != nil {
// ...
}
var jobPayload api.DBBackup
if err := json.Unmarshal(job.Data, &jobPayload); err != nil {
// ...
}
fmt.Printf("job %d received:\n type: %v \n typeurl: %v\n value: %v\n extracted payload: %v\n", jobCount, job.JobType, jobData.TypeURL, jobData.Value, jobPayload)
jobCount++
return nil
}
Run the Dapr sidecar
Once you’ve set up the Jobs API in your application, in a terminal window run the Dapr sidecar with the following command.
dapr run --app-id=distributed-scheduler \
--metrics-port=9091 \
--dapr-grpc-port 50001 \
--app-port 50070 \
--app-protocol grpc \
--log-level debug \
go run ./main.go
Next steps
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