Crea e invia un job batch di esempio che esegua un semplice comando specificato sotto forma di script. Dopo che hai inviato il job, Batch accoda, pianifica ed esegue automaticamente il job sulle VM di Compute Engine.
Per saperne di più
Per la documentazione dettagliata che include questo esempio di codice, vedi quanto segue:
Esempio di codice
C++
Per maggiori informazioni, consulta la documentazione di riferimento dell'API Batch C++.
Per eseguire l'autenticazione in Batch, configura Credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.
#include "google/cloud/batch/v1/batch_client.h"
[](std::string const& project_id, std::string const& location_id,
std::string const& job_id) {
// Initialize the request; start with the fields that depend on the sample
// input.
google::cloud::batch::v1::CreateJobRequest request;
request.set_parent("projects/" + project_id + "/locations/" + location_id);
request.set_job_id(job_id);
// Most of the job description is fixed in this example; use a string to
// initialize it.
auto constexpr kText = R"pb(
task_groups {
task_count: 4
task_spec {
compute_resource { cpu_milli: 500 memory_mib: 16 }
max_retry_count: 2
max_run_duration { seconds: 3600 }
runnables {
script {
text: "echo Hello world! This is task ${BATCH_TASK_INDEX}. This job has a total of ${BATCH_TASK_COUNT} tasks."
}
}
}
}
allocation_policy {
instances {
policy { machine_type: "e2-standard-4" provisioning_model: STANDARD }
}
}
labels { key: "env" value: "testing" }
labels { key: "type" value: "script" }
logs_policy { destination: CLOUD_LOGGING }
)pb";
auto* job = request.mutable_job();
if (!google::protobuf::TextFormat::ParseFromString(kText, job)) {
throw std::runtime_error("Error parsing Job description");
}
// Create a client and issue the request.
auto client = google::cloud::batch_v1::BatchServiceClient(
google::cloud::batch_v1::MakeBatchServiceConnection());
auto response = client.CreateJob(request);
if (!response) throw std::move(response).status();
std::cout << "Job : " << response->DebugString() << "\n";
}Go
Per maggiori informazioni, consulta la documentazione di riferimento dell'API Batch Go.
Per eseguire l'autenticazione in Batch, configura Credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.
import (
"context"
"fmt"
"io"
batch "cloud.google.com/go/batch/apiv1"
"cloud.google.com/go/batch/apiv1/batchpb"
durationpb "google.golang.org/protobuf/types/known/durationpb"
)
// Creates and runs a job that executes the specified script
func createScriptJob(w io.Writer, projectID, region, jobName string) error {
// projectID := "your_project_id"
// region := "us-central1"
// jobName := "some-job"
ctx := context.Background()
batchClient, err := batch.NewClient(ctx)
if err != nil {
return fmt.Errorf("NewClient: %w", err)
}
defer batchClient.Close()
// Define what will be done as part of the job.
command := &batchpb.Runnable_Script_Text{
Text: "echo Hello world! This is task ${BATCH_TASK_INDEX}. This job has a total of ${BATCH_TASK_COUNT} tasks.",
}
// You can also run a script from a file. Just remember, that needs to be a script that's
// already on the VM that will be running the job.
// Using runnable.script.text and runnable.script.path is mutually exclusive.
// command := &batchpb.Runnable_Script_Path{
// Path: "/tmp/test.sh",
// }
// We can specify what resources are requested by each task.
resources := &batchpb.ComputeResource{
// CpuMilli is milliseconds per cpu-second. This means the task requires 2 whole CPUs.
CpuMilli: 2000,
MemoryMib: 16,
}
taskSpec := &batchpb.TaskSpec{
Runnables: []*batchpb.Runnable{{
Executable: &batchpb.Runnable_Script_{
Script: &batchpb.Runnable_Script{Command: command},
},
}},
ComputeResource: resources,
MaxRunDuration: &durationpb.Duration{
Seconds: 3600,
},
MaxRetryCount: 2,
}
// Tasks are grouped inside a job using TaskGroups.
taskGroups := []*batchpb.TaskGroup{
{
TaskCount: 4,
TaskSpec: taskSpec,
},
}
// Policies are used to define on what kind of virtual machines the tasks will run on.
// In this case, we tell the system to use "e2-standard-4" machine type.
// Read more about machine types here: https://cloud.google.com/compute/docs/machine-types
allocationPolicy := &batchpb.AllocationPolicy{
Instances: []*batchpb.AllocationPolicy_InstancePolicyOrTemplate{{
PolicyTemplate: &batchpb.AllocationPolicy_InstancePolicyOrTemplate_Policy{
Policy: &batchpb.AllocationPolicy_InstancePolicy{
MachineType: "e2-standard-4",
},
},
}},
}
// We use Cloud Logging as it's an out of the box available option
logsPolicy := &batchpb.LogsPolicy{
Destination: batchpb.LogsPolicy_CLOUD_LOGGING,
}
jobLabels := map[string]string{"env": "testing", "type": "script"}
// The job's parent is the region in which the job will run
parent := fmt.Sprintf("projects/%s/locations/%s", projectID, region)
job := batchpb.Job{
TaskGroups: taskGroups,
AllocationPolicy: allocationPolicy,
Labels: jobLabels,
LogsPolicy: logsPolicy,
}
req := &batchpb.CreateJobRequest{
Parent: parent,
JobId: jobName,
Job: &job,
}
created_job, err := batchClient.CreateJob(ctx, req)
if err != nil {
return fmt.Errorf("unable to create job: %w", err)
}
fmt.Fprintf(w, "Job created: %v\n", created_job)
return nil
}
Java
Per maggiori informazioni, consulta la documentazione di riferimento dell'API Batch Java.
Per eseguire l'autenticazione in Batch, configura Credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.
import com.google.cloud.batch.v1.AllocationPolicy;
import com.google.cloud.batch.v1.AllocationPolicy.InstancePolicy;
import com.google.cloud.batch.v1.AllocationPolicy.InstancePolicyOrTemplate;
import com.google.cloud.batch.v1.BatchServiceClient;
import com.google.cloud.batch.v1.ComputeResource;
import com.google.cloud.batch.v1.CreateJobRequest;
import com.google.cloud.batch.v1.Job;
import com.google.cloud.batch.v1.LogsPolicy;
import com.google.cloud.batch.v1.LogsPolicy.Destination;
import com.google.cloud.batch.v1.Runnable;
import com.google.cloud.batch.v1.Runnable.Script;
import com.google.cloud.batch.v1.TaskGroup;
import com.google.cloud.batch.v1.TaskSpec;
import com.google.protobuf.Duration;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
public class CreateWithScriptNoMounting {
public static void main(String[] args)
throws IOException, ExecutionException, InterruptedException, TimeoutException {
// TODO(developer): Replace these variables before running the sample.
// Project ID or project number of the Cloud project you want to use.
String projectId = "YOUR_PROJECT_ID";
// Name of the region you want to use to run the job. Regions that are
// available for Batch are listed on: https://cloud.google.com/batch/docs/get-started#locations
String region = "europe-central2";
// The name of the job that will be created.
// It needs to be unique for each project and region pair.
String jobName = "JOB_NAME";
createScriptJob(projectId, region, jobName);
}
// This method shows how to create a sample Batch Job that will run
// a simple command on Cloud Compute instances.
public static void createScriptJob(String projectId, String region, String jobName)
throws IOException, ExecutionException, InterruptedException, TimeoutException {
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the `batchServiceClient.close()` method on the client to safely
// clean up any remaining background resources.
try (BatchServiceClient batchServiceClient = BatchServiceClient.create()) {
// Define what will be done as part of the job.
Runnable runnable =
Runnable.newBuilder()
.setScript(
Script.newBuilder()
.setText(
"echo Hello world! This is task ${BATCH_TASK_INDEX}. "
+ "This job has a total of ${BATCH_TASK_COUNT} tasks.")
// You can also run a script from a file. Just remember, that needs to be a
// script that's already on the VM that will be running the job.
// Using setText() and setPath() is mutually exclusive.
// .setPath("/tmp/test.sh")
.build())
.build();
// We can specify what resources are requested by each task.
ComputeResource computeResource =
ComputeResource.newBuilder()
// In milliseconds per cpu-second. This means the task requires 2 whole CPUs.
.setCpuMilli(2000)
// In MiB.
.setMemoryMib(16)
.build();
TaskSpec task =
TaskSpec.newBuilder()
// Jobs can be divided into tasks. In this case, we have only one task.
.addRunnables(runnable)
.setComputeResource(computeResource)
.setMaxRetryCount(2)
.setMaxRunDuration(Duration.newBuilder().setSeconds(3600).build())
.build();
// Tasks are grouped inside a job using TaskGroups.
// Currently, it's possible to have only one task group.
TaskGroup taskGroup = TaskGroup.newBuilder().setTaskCount(4).setTaskSpec(task).build();
// Policies are used to define on what kind of virtual machines the tasks will run on.
// In this case, we tell the system to use "e2-standard-4" machine type.
// Read more about machine types here: https://cloud.google.com/compute/docs/machine-types
InstancePolicy instancePolicy =
InstancePolicy.newBuilder().setMachineType("e2-standard-4").build();
AllocationPolicy allocationPolicy =
AllocationPolicy.newBuilder()
.addInstances(InstancePolicyOrTemplate.newBuilder().setPolicy(instancePolicy).build())
.build();
Job job =
Job.newBuilder()
.addTaskGroups(taskGroup)
.setAllocationPolicy(allocationPolicy)
.putLabels("env", "testing")
.putLabels("type", "script")
// We use Cloud Logging as it's an out of the box available option.
.setLogsPolicy(
LogsPolicy.newBuilder().setDestination(Destination.CLOUD_LOGGING).build())
.build();
CreateJobRequest createJobRequest =
CreateJobRequest.newBuilder()
// The job's parent is the region in which the job will run.
.setParent(String.format("projects/%s/locations/%s", projectId, region))
.setJob(job)
.setJobId(jobName)
.build();
Job result =
batchServiceClient
.createJobCallable()
.futureCall(createJobRequest)
.get(5, TimeUnit.MINUTES);
System.out.printf("Successfully created the job: %s", result.getName());
}
}
}Node.js
Per maggiori informazioni, consulta la documentazione di riferimento dell'API Batch Node.js.
Per eseguire l'autenticazione in Batch, configura Credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.
/**
* TODO(developer): Uncomment and replace these variables before running the sample.
*/
// const projectId = 'YOUR_PROJECT_ID';
/**
* The region you want to the job to run in. The regions that support Batch are listed here:
* https://cloud.google.com/batch/docs/get-started#locations
*/
// const region = 'us-central-1';
/**
* The name of the job that will be created.
* It needs to be unique for each project and region pair.
*/
// const jobName = 'YOUR_JOB_NAME';
// Imports the Batch library
const batchLib = require('@google-cloud/batch');
const batch = batchLib.protos.google.cloud.batch.v1;
// Instantiates a client
const batchClient = new batchLib.v1.BatchServiceClient();
// Define what will be done as part of the job.
const task = new batch.TaskSpec();
const runnable = new batch.Runnable();
runnable.script = new batch.Runnable.Script();
runnable.script.text =
'echo Hello world! This is task ${BATCH_TASK_INDEX}. This job has a total of ${BATCH_TASK_COUNT} tasks.';
// You can also run a script from a file. Just remember, that needs to be a script that's
// already on the VM that will be running the job. Using runnable.script.text and runnable.script.path is mutually
// exclusive.
// runnable.script.path = '/tmp/test.sh'
task.runnables = [runnable];
// We can specify what resources are requested by each task.
const resources = new batch.ComputeResource();
resources.cpuMilli = 2000; // in milliseconds per cpu-second. This means the task requires 2 whole CPUs.
resources.memoryMib = 16;
task.computeResource = resources;
task.maxRetryCount = 2;
task.maxRunDuration = {seconds: 3600};
// Tasks are grouped inside a job using TaskGroups.
const group = new batch.TaskGroup();
group.taskCount = 4;
group.taskSpec = task;
// Policies are used to define on what kind of virtual machines the tasks will run on.
// In this case, we tell the system to use "e2-standard-4" machine type.
// Read more about machine types here: https://cloud.google.com/compute/docs/machine-types
const allocationPolicy = new batch.AllocationPolicy();
const policy = new batch.AllocationPolicy.InstancePolicy();
policy.machineType = 'e2-standard-4';
const instances = new batch.AllocationPolicy.InstancePolicyOrTemplate();
instances.policy = policy;
allocationPolicy.instances = [instances];
const job = new batch.Job();
job.name = jobName;
job.taskGroups = [group];
job.allocationPolicy = allocationPolicy;
job.labels = {env: 'testing', type: 'script'};
// We use Cloud Logging as it's an option available out of the box
job.logsPolicy = new batch.LogsPolicy();
job.logsPolicy.destination = batch.LogsPolicy.Destination.CLOUD_LOGGING;
// The job's parent is the project and region in which the job will run
const parent = `projects/${projectId}/locations/${region}`;
async function callCreateJob() {
// Construct request
const request = {
parent,
jobId: jobName,
job,
};
// Run request
const response = await batchClient.createJob(request);
console.log(response);
}
callCreateJob();Python
Per maggiori informazioni, consulta la documentazione di riferimento dell'API Batch Python.
Per eseguire l'autenticazione in Batch, configura Credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.
from google.cloud import batch_v1
def create_script_job(project_id: str, region: str, job_name: str) -> batch_v1.Job:
"""
This method shows how to create a sample Batch Job that will run
a simple command on Cloud Compute instances.
Args:
project_id: project ID or project number of the Cloud project you want to use.
region: name of the region you want to use to run the job. Regions that are
available for Batch are listed on: https://cloud.google.com/batch/docs/get-started#locations
job_name: the name of the job that will be created.
It needs to be unique for each project and region pair.
Returns:
A job object representing the job created.
"""
client = batch_v1.BatchServiceClient()
# Define what will be done as part of the job.
task = batch_v1.TaskSpec()
runnable = batch_v1.Runnable()
runnable.script = batch_v1.Runnable.Script()
runnable.script.text = "echo Hello world! This is task ${BATCH_TASK_INDEX}. This job has a total of ${BATCH_TASK_COUNT} tasks."
# You can also run a script from a file. Just remember, that needs to be a script that's
# already on the VM that will be running the job. Using runnable.script.text and runnable.script.path is mutually
# exclusive.
# runnable.script.path = '/tmp/test.sh'
task.runnables = [runnable]
# We can specify what resources are requested by each task.
resources = batch_v1.ComputeResource()
resources.cpu_milli = 2000 # in milliseconds per cpu-second. This means the task requires 2 whole CPUs.
resources.memory_mib = 16
task.compute_resource = resources
task.max_retry_count = 2
task.max_run_duration = "3600s"
# Tasks are grouped inside a job using TaskGroups.
# Currently, it's possible to have only one task group.
group = batch_v1.TaskGroup()
group.task_count = 4
group.task_spec = task
# Policies are used to define on what kind of virtual machines the tasks will run on.
# In this case, we tell the system to use "e2-standard-4" machine type.
# Read more about machine types here: https://cloud.google.com/compute/docs/machine-types
allocation_policy = batch_v1.AllocationPolicy()
policy = batch_v1.AllocationPolicy.InstancePolicy()
policy.machine_type = "e2-standard-4"
instances = batch_v1.AllocationPolicy.InstancePolicyOrTemplate()
instances.policy = policy
allocation_policy.instances = [instances]
job = batch_v1.Job()
job.task_groups = [group]
job.allocation_policy = allocation_policy
job.labels = {"env": "testing", "type": "script"}
# We use Cloud Logging as it's an out of the box available option
job.logs_policy = batch_v1.LogsPolicy()
job.logs_policy.destination = batch_v1.LogsPolicy.Destination.CLOUD_LOGGING
create_request = batch_v1.CreateJobRequest()
create_request.job = job
create_request.job_id = job_name
# The job's parent is the region in which the job will run
create_request.parent = f"projects/{project_id}/locations/{region}"
return client.create_job(create_request)
Passaggi successivi
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