Operaciones por lotes

Cloud Talent Solution admite operaciones por lotes asincrónicas, lo que te permite incluir múltiples llamadas a la API en una sola solicitud HTTP. El tipo de respuesta que se muestra es google.longrunning.operation. El estado detallado de la operación por lotes se puede recuperar si llamas al método GetOperation mediante el campo name en google.longrunning.operation.

El uso de rendimientos por lotes disminuyó la latencia en el tiempo de respuesta de la API y aumentó la capacidad de procesamiento. Ten en cuenta que recibir con éxito una respuesta de la API por lotes solo indica que se ha creado la solicitud por lotes. El procesamiento de datos real se realiza de forma asíncrona. Las operaciones por lotes creadas hace más de 30 días ya no serán accesibles por el método GetOperation.

Cada lote puede tener un máximo de 200 solicitudes.

Indicador de progreso de operación por lotes

La google.longrunning.operation que se creó cuando se llamó al método de creación o actualización por lotes se encuentra en uno de los siguientes estados:

  • STATE_UNSPECIFIED (el valor predeterminado)
  • INICIALIZANDO
  • PROCESANDO
  • EXITOSA
  • ERROR

En el estado INICIALIZANDO, los campos success_count, failure_count y total_count se establecen en 0. Si la operación está en estado PROCESANDO, success_count y failure_count pueden aumentar. En el estado EXITOSA, success_count + failure_count siempre es igual a total_count, y success_count > 0. En el estado ERROR, success_count siempre es 0.

Crea trabajos por lotes

El siguiente ejemplo de código muestra cómo crear trabajos por lotes:

Python


from google.cloud import talent_v4beta1
import six

def sample_batch_create_jobs(project_id, tenant_id, company_name_one,
                             requisition_id_one, title_one, description_one,
                             job_application_url_one, address_one,
                             language_code_one, company_name_two,
                             requisition_id_two, title_two, description_two,
                             job_application_url_two, address_two,
                             language_code_two):
    """
    Batch Create Jobs

    Args:
      project_id Your Google Cloud Project ID
      tenant_id Identifier of the Tenant
    """

    client = talent_v4beta1.JobServiceClient()

    # project_id = 'Your Google Cloud Project ID'
    # tenant_id = 'Your Tenant ID (using tenancy is optional)'
    # company_name_one = 'Company name, e.g. projects/your-project/companies/company-id'
    # requisition_id_one = 'Job requisition ID, aka Posting ID. Unique per job.'
    # title_one = 'Software Engineer'
    # description_one = 'This is a description of this <i>wonderful</i> job!'
    # job_application_url_one = 'https://www.example.org/job-posting/123'
    # address_one = '1600 Amphitheatre Parkway, Mountain View, CA 94043'
    # language_code_one = 'en-US'
    # company_name_two = 'Company name, e.g. projects/your-project/companies/company-id'
    # requisition_id_two = 'Job requisition ID, aka Posting ID. Unique per job.'
    # title_two = 'Quality Assurance'
    # description_two = 'This is a description of this <i>wonderful</i> job!'
    # job_application_url_two = 'https://www.example.org/job-posting/123'
    # address_two = '111 8th Avenue, New York, NY 10011'
    # language_code_two = 'en-US'

    if isinstance(project_id, six.binary_type):
        project_id = project_id.decode('utf-8')
    if isinstance(tenant_id, six.binary_type):
        tenant_id = tenant_id.decode('utf-8')
    if isinstance(company_name_one, six.binary_type):
        company_name_one = company_name_one.decode('utf-8')
    if isinstance(requisition_id_one, six.binary_type):
        requisition_id_one = requisition_id_one.decode('utf-8')
    if isinstance(title_one, six.binary_type):
        title_one = title_one.decode('utf-8')
    if isinstance(description_one, six.binary_type):
        description_one = description_one.decode('utf-8')
    if isinstance(job_application_url_one, six.binary_type):
        job_application_url_one = job_application_url_one.decode('utf-8')
    if isinstance(address_one, six.binary_type):
        address_one = address_one.decode('utf-8')
    if isinstance(language_code_one, six.binary_type):
        language_code_one = language_code_one.decode('utf-8')
    if isinstance(company_name_two, six.binary_type):
        company_name_two = company_name_two.decode('utf-8')
    if isinstance(requisition_id_two, six.binary_type):
        requisition_id_two = requisition_id_two.decode('utf-8')
    if isinstance(title_two, six.binary_type):
        title_two = title_two.decode('utf-8')
    if isinstance(description_two, six.binary_type):
        description_two = description_two.decode('utf-8')
    if isinstance(job_application_url_two, six.binary_type):
        job_application_url_two = job_application_url_two.decode('utf-8')
    if isinstance(address_two, six.binary_type):
        address_two = address_two.decode('utf-8')
    if isinstance(language_code_two, six.binary_type):
        language_code_two = language_code_two.decode('utf-8')
    parent = client.tenant_path(project_id, tenant_id)
    uris = [job_application_url_one]
    application_info = {'uris': uris}
    addresses = [address_one]
    jobs_element = {
        'company': company_name_one,
        'requisition_id': requisition_id_one,
        'title': title_one,
        'description': description_one,
        'application_info': application_info,
        'addresses': addresses,
        'language_code': language_code_one
    }
    uris_2 = [job_application_url_two]
    application_info_2 = {'uris': uris_2}
    addresses_2 = [address_two]
    jobs_element_2 = {
        'company': company_name_two,
        'requisition_id': requisition_id_two,
        'title': title_two,
        'description': description_two,
        'application_info': application_info_2,
        'addresses': addresses_2,
        'language_code': language_code_two
    }
    jobs = [jobs_element, jobs_element_2]

    operation = client.batch_create_jobs(parent, jobs)

    print('Waiting for operation to complete...')
    response = operation.result()

    print('Batch response: {}'.format(response))

Trabajos de actualización por lotes

El siguiente ejemplo de código muestra cómo actualizar trabajos por lotes:

Python


from google.cloud import talent_v4beta1
import six

def sample_batch_update_jobs(project_id, tenant_id, job_name_one,
                             company_name_one, requisition_id_one, title_one,
                             description_one, job_application_url_one,
                             address_one, language_code_one, job_name_two,
                             company_name_two, requisition_id_two, title_two,
                             description_two, job_application_url_two,
                             address_two, language_code_two):
    """
    Batch Update Jobs

    Args:
      project_id Your Google Cloud Project ID
      tenant_id Identifier of the Tenant
    """

    client = talent_v4beta1.JobServiceClient()

    # project_id = 'Your Google Cloud Project ID'
    # tenant_id = 'Your Tenant ID (using tenancy is optional)'
    # job_name_one = 'job name, e.g. projects/your-project/tenants/tenant-id/jobs/job-id'
    # company_name_one = 'Company name, e.g. projects/your-project/companies/company-id'
    # requisition_id_one = 'Job requisition ID, aka Posting ID. Unique per job.'
    # title_one = 'Software Engineer'
    # description_one = 'This is a description of this <i>wonderful</i> job!'
    # job_application_url_one = 'https://www.example.org/job-posting/123'
    # address_one = '1600 Amphitheatre Parkway, Mountain View, CA 94043'
    # language_code_one = 'en-US'
    # job_name_two = 'job name, e.g. projects/your-project/tenants/tenant-id/jobs/job-id'
    # company_name_two = 'Company name, e.g. projects/your-project/companies/company-id'
    # requisition_id_two = 'Job requisition ID, aka Posting ID. Unique per job.'
    # title_two = 'Quality Assurance'
    # description_two = 'This is a description of this <i>wonderful</i> job!'
    # job_application_url_two = 'https://www.example.org/job-posting/123'
    # address_two = '111 8th Avenue, New York, NY 10011'
    # language_code_two = 'en-US'

    if isinstance(project_id, six.binary_type):
        project_id = project_id.decode('utf-8')
    if isinstance(tenant_id, six.binary_type):
        tenant_id = tenant_id.decode('utf-8')
    if isinstance(job_name_one, six.binary_type):
        job_name_one = job_name_one.decode('utf-8')
    if isinstance(company_name_one, six.binary_type):
        company_name_one = company_name_one.decode('utf-8')
    if isinstance(requisition_id_one, six.binary_type):
        requisition_id_one = requisition_id_one.decode('utf-8')
    if isinstance(title_one, six.binary_type):
        title_one = title_one.decode('utf-8')
    if isinstance(description_one, six.binary_type):
        description_one = description_one.decode('utf-8')
    if isinstance(job_application_url_one, six.binary_type):
        job_application_url_one = job_application_url_one.decode('utf-8')
    if isinstance(address_one, six.binary_type):
        address_one = address_one.decode('utf-8')
    if isinstance(language_code_one, six.binary_type):
        language_code_one = language_code_one.decode('utf-8')
    if isinstance(job_name_two, six.binary_type):
        job_name_two = job_name_two.decode('utf-8')
    if isinstance(company_name_two, six.binary_type):
        company_name_two = company_name_two.decode('utf-8')
    if isinstance(requisition_id_two, six.binary_type):
        requisition_id_two = requisition_id_two.decode('utf-8')
    if isinstance(title_two, six.binary_type):
        title_two = title_two.decode('utf-8')
    if isinstance(description_two, six.binary_type):
        description_two = description_two.decode('utf-8')
    if isinstance(job_application_url_two, six.binary_type):
        job_application_url_two = job_application_url_two.decode('utf-8')
    if isinstance(address_two, six.binary_type):
        address_two = address_two.decode('utf-8')
    if isinstance(language_code_two, six.binary_type):
        language_code_two = language_code_two.decode('utf-8')
    parent = client.tenant_path(project_id, tenant_id)
    uris = [job_application_url_one]
    application_info = {'uris': uris}
    addresses = [address_one]
    jobs_element = {
        'name': job_name_one,
        'company': company_name_one,
        'requisition_id': requisition_id_one,
        'title': title_one,
        'description': description_one,
        'application_info': application_info,
        'addresses': addresses,
        'language_code': language_code_one
    }
    uris_2 = [job_application_url_two]
    application_info_2 = {'uris': uris_2}
    addresses_2 = [address_two]
    jobs_element_2 = {
        'name': job_name_two,
        'company': company_name_two,
        'requisition_id': requisition_id_two,
        'title': title_two,
        'description': description_two,
        'application_info': application_info_2,
        'addresses': addresses_2,
        'language_code': language_code_two
    }
    jobs = [jobs_element, jobs_element_2]

    operation = client.batch_update_jobs(parent, jobs)

    print('Waiting for operation to complete...')
    response = operation.result()

    print('Batch response: {}'.format(response))

Realiza trabajos de eliminación por lotes.

En la siguiente muestra de código, se explica cómo borrar trabajos por lotes:

Node.js


const talent = require('@google-cloud/talent').v4;

/**
 * Batch delete jobs using a filter
 *
 * @param projectId {string} Your Google Cloud Project ID
 * @param tenantId {string} Identifier of the Tenantd
 * @param filter {string} The filter string specifies the jobs to be deleted.
 * For example:
 * companyName = "projects/api-test-project/companies/123" AND equisitionId = "req-1"
 */
function sampleBatchDeleteJobs(projectId, tenantId, filter) {
  const client = new talent.JobServiceClient();
  // const projectId = 'Your Google Cloud Project ID';
  // const tenantId = 'Your Tenant ID (using tenancy is optional)';
  // const filter = '[Query]';
  const formattedParent = client.tenantPath(projectId, tenantId);
  const request = {
    parent: formattedParent,
    filter: filter,
  };
  client.batchDeleteJobs(request).catch(err => {
    console.error(err);
  });
  console.log('Batch deleted jobs from filter');
}