Modifica

Condividi tramite

Librerie di Azure Batch per PythonAzure Batch libraries for python

  • Articolo

PanoramicaOverview

Eseguire in modo efficiente applicazioni di calcolo a prestazioni elevate su larga scala nel cloud con Azure Batch.Run large-scale parallel and high-performance computing applications efficiently in the cloud with Azure Batch.

Per iniziare a usare Azure Batch, vedere Creare un account Batch nel portale di Azure.To get started with Azure Batch, see Create a Batch account with the Azure portal.

Installare le librerieInstall the libraries

Libreria clientClient library

Le librerie client di Azure Batch consentono di configurare i nodi e i pool di calcolo, definire le attività e configurarle per l'esecuzione nei processi e infine configurare un gestore di processi per controllare e monitorare l'esecuzione dei processi.The Azure Batch client libraries let you configure compute nodes and pools, define tasks and configure them to run in jobs, and set up a job manager to control and monitor job execution. Altre informazioni sull'uso di questi oggetti per l'esecuzione di soluzioni di calcolo parallele su larga scala.Learn more about using these objects to run large-scale parallel compute solutions.

pip install azure-batch

EsempioExample

Configurare un pool di nodi di calcolo di Linux in un account Batch:Set up a pool of Linux compute nodes in a batch account:

# create the batch client for an account using its URI and keys
creds = batchauth.SharedKeyCredentials(account, key)
config = batch.BatchServiceClientConfiguration(creds, base_url = batch_url)
client = batch.BatchServiceClient(config)

# Create the VirtualMachineConfiguration, specifying
# the VM image reference and the Batch node agent to
# be installed on the node.
vmc = batchmodels.VirtualMachineConfiguration(
    image_reference = ir,
    node_agent_sku_id = "batch.node.ubuntu 14.04")

# Assign the virtual machine configuration to the pool
new_pool.virtual_machine_configuration = vmc

# Create pool in the Batch service
client.pool.add(new_pool)

API di gestioneManagement API

Usare le librerie di gestione di Azure Batch per creare ed eliminare account Batch, leggere e rigenerare chiavi di account Batch e gestire l'archiviazione di account Batch.Use the Azure Batch management libraries to create and delete batch accounts, read and regenerate batch account keys, and manage batch account storage.

pip install azure-mgmt-batch

Esplorare le API clientExplore the Client APIs

EsempioExample

Creare un account Azure Batch e configurare una nuova applicazione e un account di archiviazione di Azure corrispondente.Create an Azure Batch account and configure a new application and Azure storage account for it.

from azure.mgmt.batch import BatchManagementClient
from azure.mgmt.resource import ResourceManagementClient
from azure.mgmt.storage import StorageManagementClient

LOCATION ='eastus'
GROUP_NAME ='batchresourcegroup'
STORAGE_ACCOUNT_NAME ='batchstorageaccount'

# Create Resource group
print('Create Resource Group')
resource_client.resource_groups.create_or_update(GROUP_NAME, {'location': LOCATION})

# Create a storage account
storage_async_operation = storage_client.storage_accounts.create(
    GROUP_NAME,
    STORAGE_ACCOUNT_NAME,
    StorageAccountCreateParameters(
        sku=Sku(SkuName.standard_ragrs),
        kind=Kind.storage,
        location=LOCATION
    )
)
storage_account = storage_async_operation.result()

# Create a Batch Account, specifying the storage account we want to link
storage_resource = storage_account.id
batch_account = azure.mgmt.batch.models.BatchAccountCreateParameters(
    location=LOCATION,
    auto_storage=azure.mgmt.batch.models.AutoStorageBaseProperties(storage_resource)
)
creating = batch_client.account.create('MyBatchAccount', LOCATION, batch_account)
creating.wait()

Esplorare le API di gestioneExplore the Management APIs