Crear y enviar un trabajo por lotes de muestra que ejecute una secuencia de comandos y especifique una plantilla de instancias existente para definir los requisitos de la VM Después de enviar el trabajo, Batch se pone en cola, programa y ejecuta de forma automática el trabajo en las VM de Compute Engine que coinciden con la plantilla de instancias que especificaste.
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Para obtener documentación en la que se incluye esta muestra de código, consulta lo siguiente:
Muestra de código
Go
Si deseas obtener más información, consulta la documentación de referencia de la API de Go por lotes.
import (
"context"
"fmt"
"io"
batch "cloud.google.com/go/batch/apiv1"
batchpb "google.golang.org/genproto/googleapis/cloud/batch/v1"
durationpb "google.golang.org/protobuf/types/known/durationpb"
)
// Creates and runs a job that executes the specified script
func createScriptJobWithTemplate(w io.Writer, projectID, region, jobName, templateLink string) error {
// projectID := "your_project_id"
// region := "us-central1"
// jobName := "some-job"
/* A link to an existing Instance Template. Acceptable formats:
* "projects/{project_id}/global/instanceTemplates/{template_name}"
* "{template_name}" - if the template is defined in the same project as used to create the Job.
*/
// template_link := "my-instance-template"
ctx := context.Background()
batchClient, err := batch.NewClient(ctx)
if err != nil {
return fmt.Errorf("NewClient: %v", 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.",
}
// 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 are going to use an Instance Template that defines the VM.
allocationPolicy := &batchpb.AllocationPolicy{
Instances: []*batchpb.AllocationPolicy_InstancePolicyOrTemplate{{
PolicyTemplate: &batchpb.AllocationPolicy_InstancePolicyOrTemplate_InstanceTemplate{
InstanceTemplate: templateLink,
},
}},
}
// 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: %v", err)
}
fmt.Fprintf(w, "Job created: %v\n", created_job)
return nil
}
Java
Si deseas obtener más información, consulta la documentación de referencia de la API de Java por lotes.
import com.google.cloud.batch.v1.AllocationPolicy;
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 CreateWithTemplate {
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";
// A link to an existing Instance Template. Acceptable formats:
// * "projects/{projectId}/global/instanceTemplates/{templateName}"
// * "{templateName}" - if the template is defined in the same project
// as used to create the Job.
String templateLink = "TEMPLATE_LINK";
createWithTemplate(projectId, region, jobName, templateLink);
}
// This method shows how to create a sample Batch Job that will run
// a simple command on Cloud Compute instances created using a provided Template.
public static void createWithTemplate(String projectId, String region, String jobName,
String templateLink)
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 an instance template that defines all the
// required parameters.
AllocationPolicy allocationPolicy =
AllocationPolicy.newBuilder()
.addInstances(
InstancePolicyOrTemplate.newBuilder().setInstanceTemplate(templateLink).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
Si deseas obtener más información, consulta la documentación de referencia de la API de Node.js por lotes.
/**
* 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';
/**
* a link to an existing Instance Template. Acceptable formats:
* "projects/{project_id}/global/instanceTemplates/{template_name}"
* "{template_name}" - if the template is defined in the same project as used to create the Job.
*/
// const templateLink = 'YOUR_TEMPLATE'
// 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 ${BATCH_TASK_COUNT} tasks.';
// You can also run a script from a file. Just remember, that needs to be a script that's
// already on the VM that will be running the job. Using runnable.script.text and runnable.script.path is mutually
// exclusive.
// runnable.script.path = '/tmp/test.sh'
task.runnables = [runnable];
// We can specify what resources are requested by each task.
const resources = new batch.ComputeResource();
resources.cpuMilli = 2000; // in milliseconds per cpu-second. This means the task requires 2 whole CPUs.
resources.memoryMib = 16;
task.computeResource = resources;
task.maxRetryCount = 2;
task.maxRunDuration = {seconds: 3600};
// Tasks are grouped inside a job using TaskGroups.
const group = new batch.TaskGroup();
group.taskCount = 4;
group.taskSpec = task;
// Policies are used to define on what kind of virtual machines the tasks will run on.
// In this case, we tell the system to use "e2-standard-4" machine type.
// Read more about machine types here: https://cloud.google.com/compute/docs/machine-types
const allocationPolicy = new batch.AllocationPolicy();
const instances = new batch.AllocationPolicy.InstancePolicyOrTemplate();
instances.templateLink = templateLink;
allocationPolicy.instances = [instances];
const job = new batch.Job();
job.name = jobName;
job.taskGroups = [group];
job.allocationPolicy = allocationPolicy;
job.labels = {env: 'testing', type: 'script'};
// We use Cloud Logging as it's an option available out of the box
job.logsPolicy = new batch.LogsPolicy();
job.logsPolicy.destination = batch.LogsPolicy.Destination.CLOUD_LOGGING;
// The job's parent is the project and region in which the job will run
const parent = `projects/${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
Si deseas obtener más información, consulta la documentación de referencia de la API de Python por lotes.
from google.cloud import batch_v1
def create_script_job_with_template(project_id: str, region: str, job_name: str, template_link: str) -> batch_v1.Job:
"""
This method shows how to create a sample Batch Job that will run
a simple command on Cloud Compute instances created using a provided Template.
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.
template_link: a link to an existing Instance Template. Acceptable formats:
* "projects/{project_id}/global/instanceTemplates/{template_name}"
* "{template_name}" - if the template is defined in the same project as used to create the Job.
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 an instance template that defines all the
# required parameters.
allocation_policy = batch_v1.AllocationPolicy()
instances = batch_v1.AllocationPolicy.InstancePolicyOrTemplate()
instances.instance_template = template_link
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)¿Qué sigue?
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