在 Batch 池中预配 Linux 计算节点

创建 Linux 池：Batch Python

以下代码片段示范如何使用用于 Python 的 Azure Batch 客户端库创建 Ubuntu Server 计算节点池。 有关 Batch Python 模块的更多详细信息，请查看参考文档。

此代码片段显式创建 ImageReference，并指定它的每个属性（publisher、offer、SKU、version）。 但是，我们建议在生产代码中使用 list_node_agent_skus 方法在运行时从可用映像和节点代理 SKU 组合中做出选择。

# Import the required modules from the
# Azure Batch Client Library for Python
import azure.batch.batch_service_client as batch
import azure.batch.batch_auth as batchauth
import azure.batch.models as batchmodels

# Specify Batch account credentials
account = "<batch-account-name>"
key = "<batch-account-key>"
batch_url = "<batch-account-url>"

# Pool settings
pool_id = "LinuxNodesSamplePoolPython"
vm_size = "STANDARD_D2_V3"
node_count = 1

# Initialize the Batch client
creds = batchauth.SharedKeyCredentials(account, key)
config = batch.BatchServiceClientConfiguration(creds, batch_url)
client = batch.BatchServiceClient(creds, batch_url)

# Create the unbound pool
new_pool = batchmodels.PoolAddParameter(id=pool_id, vm_size=vm_size)
new_pool.target_dedicated = node_count

# Configure the start task for the pool
start_task = batchmodels.StartTask()
start_task.run_elevated = True
start_task.command_line = "printenv AZ_BATCH_NODE_STARTUP_DIR"
new_pool.start_task = start_task

# Create an ImageReference which specifies the Marketplace
# virtual machine image to install on the nodes
ir = batchmodels.ImageReference(
    publisher="canonical",
    offer="0001-com-ubuntu-server-focal",
    sku="20_04-lts",
    version="latest")

# Create the VirtualMachineConfiguration, specifying
# the VM image reference and the Batch node agent
# to install on the node
vmc = batchmodels.VirtualMachineConfiguration(
    image_reference=ir,
    node_agent_sku_id="batch.node.ubuntu 20.04")

# 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)

如上所述，建议使用 list_supported_images 方法从当前支持的节点代理/市场映像组合中进行动态选择（而不是显式创建 ImageReference）。 以下 Python 代码片段演示如何使用此方法。

# Get the list of supported images from the Batch service
images = client.account.list_supported_images()

# Obtain the desired image reference
image = None
for img in images:
  if (img.image_reference.publisher.lower() == "canonical" and
        img.image_reference.offer.lower() == "0001-com-ubuntu-server-focal" and
        img.image_reference.sku.lower() == "20_04-lts"):
    image = img
    break

if image is None:
  raise RuntimeError('invalid image reference for desired configuration')

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

创建 Linux 池：批处理 .NET

以下代码片段示范如何使用 Batch .NET 客户端库创建 Ubuntu Server 计算节点池。 有关 Batch .NET 的更多详细信息，请查看参考文档。

以下代码片段使用 PoolOperations.ListSupportedImages 方法从当前支持的市场映像和节点代理 SKU 组合列表中进行选择。 建议使用这种方法，因为受支持组合的列表有时会发生变化。 通常情况下，添加支持的组合。

// Pool settings
const string poolId = "LinuxNodesSamplePoolDotNet";
const string vmSize = "STANDARD_D2_V3";
const int nodeCount = 1;

// Obtain a collection of all available node agent SKUs.
// This allows us to select from a list of supported
// VM image/node agent combinations.
List<ImageInformation> images =
    batchClient.PoolOperations.ListSupportedImages().ToList();

// Find the appropriate image information
ImageInformation image = null;
foreach (var img in images)
{
    if (img.ImageReference.Publisher == "canonical" &&
        img.ImageReference.Offer == "0001-com-ubuntu-server-focal" &&
        img.ImageReference.Sku == "20_04-lts")
    {
        image = img;
        break;
    }
}

// Create the VirtualMachineConfiguration for use when actually
// creating the pool
VirtualMachineConfiguration virtualMachineConfiguration =
    new VirtualMachineConfiguration(image.ImageReference, image.NodeAgentSkuId);

// Create the unbound pool object using the VirtualMachineConfiguration
// created above
CloudPool pool = batchClient.PoolOperations.CreatePool(
    poolId: poolId,
    virtualMachineSize: vmSize,
    virtualMachineConfiguration: virtualMachineConfiguration,
    targetDedicatedComputeNodes: nodeCount);

// Commit the pool to the Batch service
await pool.CommitAsync();

尽管上述代码片段是使用 PoolOperations.istSupportedImages 方法来动态列出支持的映像和节点代理 SKU 组合并从中做出选择（建议的做法），但也可以显式配置 ImageReference：

ImageReference imageReference = new ImageReference(
    publisher: "canonical",
    offer: "0001-com-ubuntu-server-focal",
    sku: "20_04-lts",
    version: "latest");

以下 Python 代码片段会在池中的每个节点上创建一个用户（远程连接时需要）。 然后列显每个节点的安全外壳 (SSH) 连接信息。

import datetime
import getpass
import azure.batch.batch_service_client as batch
import azure.batch.batch_auth as batchauth
import azure.batch.models as batchmodels

# Specify your own account credentials
batch_account_name = ''
batch_account_key = ''
batch_account_url = ''

# Specify the ID of an existing pool containing Linux nodes
# currently in the 'idle' state
pool_id = ''

# Specify the username and prompt for a password
username = 'linuxuser'
password = getpass.getpass()

# Create a BatchClient
credentials = batchauth.SharedKeyCredentials(
    batch_account_name,
    batch_account_key
)
batch_client = batch.BatchServiceClient(
    credentials,
    base_url=batch_account_url
)

# Create the user that will be added to each node in the pool
user = batchmodels.ComputeNodeUser(username)
user.password = password
user.is_admin = True
user.expiry_time = \
    (datetime.datetime.today() + datetime.timedelta(days=30)).isoformat()

# Get the list of nodes in the pool
nodes = batch_client.compute_node.list(pool_id)

# Add the user to each node in the pool and print
# the connection information for the node
for node in nodes:
    # Add the user to the node
    batch_client.compute_node.add_user(pool_id, node.id, user)

    # Obtain SSH login information for the node
    login = batch_client.compute_node.get_remote_login_settings(pool_id,
                                                                node.id)

    # Print the connection info for the node
    print("{0} | {1} | {2} | {3}".format(node.id,
                                         node.state,
                                         login.remote_login_ip_address,
                                         login.remote_login_port))

此代码将会有类似于以下示例的输出。 在本例中，该池包含四个 Linux 节点。

Password:
tvm-1219235766_1-20160414t192511z | ComputeNodeState.idle | 13.91.7.57 | 50000
tvm-1219235766_2-20160414t192511z | ComputeNodeState.idle | 13.91.7.57 | 50003
tvm-1219235766_3-20160414t192511z | ComputeNodeState.idle | 13.91.7.57 | 50002
tvm-1219235766_4-20160414t192511z | ComputeNodeState.idle | 13.91.7.57 | 50001

在 Python SDK 中，请在 ComputeNodeUser 上使用 ssh_public_key 参数。

在 .NET 中，请使用 ComputeNodeUser.SshPublicKey 属性。