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Big Data Pools - Create Or Update

服务:

Synapse

API 版本:

2021-06-01-preview

创建大数据池。
创建新的大数据池。

PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Synapse/workspaces/{workspaceName}/bigDataPools/{bigDataPoolName}?api-version=2021-06-01-preview

具有可选参数:

PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Synapse/workspaces/{workspaceName}/bigDataPools/{bigDataPoolName}?api-version=2021-06-01-preview&force={force}

URI 参数

名称	在	必需	类型	说明
bigDataPoolName	path	True	string	大数据池名称
resourceGroupName	path	True	string	资源组的名称。 此名称不区分大小写。
subscriptionId	path	True	string	目标订阅的 ID。
workspaceName	path	True	string	工作区的名称。
api-version	query	True	string	要用于此操作的 API 版本。
force	query		boolean	是否停止大数据池中的任何正在运行的作业

请求正文

名称	必需	类型	说明
location	True	string	资源所在的地理位置
properties.autoPause		AutoPauseProperties	Spark 池自动暂停属性 自动暂停属性
properties.autoScale		AutoScaleProperties	Spark 池自动缩放属性 自动缩放属性
properties.cacheSize		integer	缓存大小
properties.customLibraries		LibraryInfo[]	与 Spark 池关联的自定义库/包的列表。
properties.defaultSparkLogFolder		string	将写入 Spark 日志的默认文件夹。
properties.dynamicExecutorAllocation		DynamicExecutorAllocation	动态执行程序分配
properties.isAutotuneEnabled		boolean	启用自动优化 是否需要自动优化。
properties.isComputeIsolationEnabled		boolean	是否需要计算隔离。
properties.libraryRequirements		LibraryRequirements	Spark 池库版本要求 库版本要求
properties.nodeCount		integer	大数据池中的节点数。
properties.nodeSize		NodeSize	大数据池中每个节点的计算能力级别。
properties.nodeSizeFamily		NodeSizeFamily	大数据池提供的节点类型。
properties.provisioningState		string	大数据池的状态。
properties.sessionLevelPackagesEnabled		boolean	会话级别包是否已启用。
properties.sparkConfigProperties		SparkConfigProperties	Spark 池配置属性 用于指定其他属性的 Spark 配置文件
properties.sparkEventsFolder		string	Spark 事件文件夹
properties.sparkVersion		string	Apache Spark 版本。
tags		object	资源标记。

响应

名称	类型	说明
200 OK	BigDataPoolResourceInfo	确定
202 Accepted	BigDataPoolResourceInfo
Other Status Codes	ErrorResponse

示例

Create or update a Big Data pool

示例请求

HTTP

PUT https://management.azure.com/subscriptions/01234567-89ab-4def-0123-456789abcdef/resourceGroups/ExampleResourceGroup/providers/Microsoft.Synapse/workspaces/ExampleWorkspace/bigDataPools/ExamplePool?api-version=2021-06-01-preview

{
  "tags": {
    "key": "value"
  },
  "location": "West US 2",
  "properties": {
    "sparkVersion": "3.3",
    "nodeCount": 4,
    "nodeSize": "Medium",
    "nodeSizeFamily": "MemoryOptimized",
    "autoScale": {
      "enabled": true,
      "minNodeCount": 3,
      "maxNodeCount": 50
    },
    "autoPause": {
      "enabled": true,
      "delayInMinutes": 15
    },
    "sparkEventsFolder": "/events",
    "libraryRequirements": {
      "content": "",
      "filename": "requirements.txt"
    },
    "defaultSparkLogFolder": "/logs",
    "isAutotuneEnabled": false
  }
}

Java

import com.azure.resourcemanager.synapse.models.AutoPauseProperties;
import com.azure.resourcemanager.synapse.models.AutoScaleProperties;
import com.azure.resourcemanager.synapse.models.LibraryRequirements;
import com.azure.resourcemanager.synapse.models.NodeSize;
import com.azure.resourcemanager.synapse.models.NodeSizeFamily;
import java.util.HashMap;
import java.util.Map;

/** Samples for BigDataPools CreateOrUpdate. */
public final class Main {
    /*
     * x-ms-original-file: specification/synapse/resource-manager/Microsoft.Synapse/preview/2021-06-01-preview/examples/CreateOrUpdateBigDataPool.json
     */
    /**
     * Sample code: Create or update a Big Data pool.
     *
     * @param manager Entry point to SynapseManager.
     */
    public static void createOrUpdateABigDataPool(com.azure.resourcemanager.synapse.SynapseManager manager) {
        manager
            .bigDataPools()
            .define("ExamplePool")
            .withRegion("West US 2")
            .withExistingWorkspace("ExampleResourceGroup", "ExampleWorkspace")
            .withTags(mapOf("key", "value"))
            .withAutoScale(new AutoScaleProperties().withMinNodeCount(3).withEnabled(true).withMaxNodeCount(50))
            .withAutoPause(new AutoPauseProperties().withDelayInMinutes(15).withEnabled(true))
            .withIsAutotuneEnabled(false)
            .withSparkEventsFolder("/events")
            .withNodeCount(4)
            .withLibraryRequirements(new LibraryRequirements().withContent("").withFilename("requirements.txt"))
            .withSparkVersion("3.3")
            .withDefaultSparkLogFolder("/logs")
            .withNodeSize(NodeSize.MEDIUM)
            .withNodeSizeFamily(NodeSizeFamily.MEMORY_OPTIMIZED)
            .create();
    }

    @SuppressWarnings("unchecked")
    private static <T> Map<String, T> mapOf(Object... inputs) {
        Map<String, T> map = new HashMap<>();
        for (int i = 0; i < inputs.length; i += 2) {
            String key = (String) inputs[i];
            T value = (T) inputs[i + 1];
            map.put(key, value);
        }
        return map;
    }
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

Python

from azure.identity import DefaultAzureCredential
from azure.mgmt.synapse import SynapseManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-synapse
# USAGE
    python create_or_update_big_data_pool.py

    Before run the sample, please set the values of the client ID, tenant ID and client secret
    of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
    AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
    https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""


def main():
    client = SynapseManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="01234567-89ab-4def-0123-456789abcdef",
    )

    response = client.big_data_pools.begin_create_or_update(
        resource_group_name="ExampleResourceGroup",
        workspace_name="ExampleWorkspace",
        big_data_pool_name="ExamplePool",
        big_data_pool_info={
            "location": "West US 2",
            "properties": {
                "autoPause": {"delayInMinutes": 15, "enabled": True},
                "autoScale": {"enabled": True, "maxNodeCount": 50, "minNodeCount": 3},
                "defaultSparkLogFolder": "/logs",
                "isAutotuneEnabled": False,
                "libraryRequirements": {"content": "", "filename": "requirements.txt"},
                "nodeCount": 4,
                "nodeSize": "Medium",
                "nodeSizeFamily": "MemoryOptimized",
                "sparkEventsFolder": "/events",
                "sparkVersion": "2.4",
            },
            "tags": {"key": "value"},
        },
    ).result()
    print(response)


# x-ms-original-file: specification/synapse/resource-manager/Microsoft.Synapse/preview/2021-06-01-preview/examples/CreateOrUpdateBigDataPool.json
if __name__ == "__main__":
    main()

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

Go

package armsynapse_test

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azcore/to"
	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
	"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/synapse/armsynapse"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/630ec444f8dd7c09b9cdd5fa99951f8a0d1ad41f/specification/synapse/resource-manager/Microsoft.Synapse/preview/2021-06-01-preview/examples/CreateOrUpdateBigDataPool.json
func ExampleBigDataPoolsClient_BeginCreateOrUpdate() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armsynapse.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	poller, err := clientFactory.NewBigDataPoolsClient().BeginCreateOrUpdate(ctx, "ExampleResourceGroup", "ExampleWorkspace", "ExamplePool", armsynapse.BigDataPoolResourceInfo{
		Location: to.Ptr("West US 2"),
		Tags: map[string]*string{
			"key": to.Ptr("value"),
		},
		Properties: &armsynapse.BigDataPoolResourceProperties{
			AutoPause: &armsynapse.AutoPauseProperties{
				DelayInMinutes: to.Ptr[int32](15),
				Enabled:        to.Ptr(true),
			},
			AutoScale: &armsynapse.AutoScaleProperties{
				Enabled:      to.Ptr(true),
				MaxNodeCount: to.Ptr[int32](50),
				MinNodeCount: to.Ptr[int32](3),
			},
			DefaultSparkLogFolder: to.Ptr("/logs"),
			IsAutotuneEnabled:     to.Ptr(false),
			LibraryRequirements: &armsynapse.LibraryRequirements{
				Content:  to.Ptr(""),
				Filename: to.Ptr("requirements.txt"),
			},
			NodeCount:         to.Ptr[int32](4),
			NodeSize:          to.Ptr(armsynapse.NodeSizeMedium),
			NodeSizeFamily:    to.Ptr(armsynapse.NodeSizeFamilyMemoryOptimized),
			SparkEventsFolder: to.Ptr("/events"),
			SparkVersion:      to.Ptr("3.3"),
		},
	}, &armsynapse.BigDataPoolsClientBeginCreateOrUpdateOptions{Force: nil})
	if err != nil {
		log.Fatalf("failed to finish the request: %v", err)
	}
	res, err := poller.PollUntilDone(ctx, nil)
	if err != nil {
		log.Fatalf("failed to pull the result: %v", err)
	}
	// You could use response here. We use blank identifier for just demo purposes.
	_ = res
	// If the HTTP response code is 200 as defined in example definition, your response structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
	// res.BigDataPoolResourceInfo = armsynapse.BigDataPoolResourceInfo{
	// 	Name: to.Ptr("ExamplePool"),
	// 	Type: to.Ptr("Microsoft.Synapse/workspaces/bigDataPools"),
	// 	ID: to.Ptr("/subscriptions/01234567-89ab-4def-0123-456789abcdef/resourceGroups/ExampleResourceGroup/providers/Microsoft.Synapse/workspaces/ExampleWorkspace/bigDataPools/ExamplePool"),
	// 	Location: to.Ptr("West US 2"),
	// 	Tags: map[string]*string{
	// 		"key": to.Ptr("value"),
	// 	},
	// 	Properties: &armsynapse.BigDataPoolResourceProperties{
	// 		AutoPause: &armsynapse.AutoPauseProperties{
	// 			DelayInMinutes: to.Ptr[int32](15),
	// 			Enabled: to.Ptr(true),
	// 		},
	// 		AutoScale: &armsynapse.AutoScaleProperties{
	// 			Enabled: to.Ptr(true),
	// 			MaxNodeCount: to.Ptr[int32](50),
	// 			MinNodeCount: to.Ptr[int32](3),
	// 		},
	// 		CreationDate: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "1970-01-01T00:00:00.000Z"); return t}()),
	// 		DefaultSparkLogFolder: to.Ptr("/logs"),
	// 		IsAutotuneEnabled: to.Ptr(false),
	// 		LastSucceededTimestamp: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "1970-01-01T10:00:00.000Z"); return t}()),
	// 		LibraryRequirements: &armsynapse.LibraryRequirements{
	// 			Content: to.Ptr(""),
	// 			Filename: to.Ptr("requirements.txt"),
	// 			Time: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "1970-01-01T00:00:00.000Z"); return t}()),
	// 		},
	// 		NodeCount: to.Ptr[int32](4),
	// 		NodeSize: to.Ptr(armsynapse.NodeSizeMedium),
	// 		NodeSizeFamily: to.Ptr(armsynapse.NodeSizeFamilyMemoryOptimized),
	// 		ProvisioningState: to.Ptr("Succeeded"),
	// 		SparkEventsFolder: to.Ptr("/events"),
	// 		SparkVersion: to.Ptr("3.3"),
	// 	},
	// }
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

JavaScript

const { SynapseManagementClient } = require("@azure/arm-synapse");
const { DefaultAzureCredential } = require("@azure/identity");

/**
 * This sample demonstrates how to Create a new Big Data pool.
 *
 * @summary Create a new Big Data pool.
 * x-ms-original-file: specification/synapse/resource-manager/Microsoft.Synapse/preview/2021-06-01-preview/examples/CreateOrUpdateBigDataPool.json
 */
async function createOrUpdateABigDataPool() {
  const subscriptionId =
    process.env["SYNAPSE_SUBSCRIPTION_ID"] || "01234567-89ab-4def-0123-456789abcdef";
  const resourceGroupName = process.env["SYNAPSE_RESOURCE_GROUP"] || "ExampleResourceGroup";
  const workspaceName = "ExampleWorkspace";
  const bigDataPoolName = "ExamplePool";
  const bigDataPoolInfo = {
    autoPause: { delayInMinutes: 15, enabled: true },
    autoScale: { enabled: true, maxNodeCount: 50, minNodeCount: 3 },
    defaultSparkLogFolder: "/logs",
    isAutotuneEnabled: false,
    libraryRequirements: { content: "", filename: "requirements.txt" },
    location: "West US 2",
    nodeCount: 4,
    nodeSize: "Medium",
    nodeSizeFamily: "MemoryOptimized",
    sparkEventsFolder: "/events",
    sparkVersion: "2.4",
    tags: { key: "value" },
  };
  const credential = new DefaultAzureCredential();
  const client = new SynapseManagementClient(credential, subscriptionId);
  const result = await client.bigDataPools.beginCreateOrUpdateAndWait(
    resourceGroupName,
    workspaceName,
    bigDataPoolName,
    bigDataPoolInfo
  );
  console.log(result);
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

dotnet

using System;
using System.Threading.Tasks;
using Azure;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.Synapse;
using Azure.ResourceManager.Synapse.Models;

// Generated from example definition: specification/synapse/resource-manager/Microsoft.Synapse/preview/2021-06-01-preview/examples/CreateOrUpdateBigDataPool.json
// this example is just showing the usage of "BigDataPools_CreateOrUpdate" operation, for the dependent resources, they will have to be created separately.

// get your azure access token, for more details of how Azure SDK get your access token, please refer to https://learn.microsoft.com/en-us/dotnet/azure/sdk/authentication?tabs=command-line
TokenCredential cred = new DefaultAzureCredential();
// authenticate your client
ArmClient client = new ArmClient(cred);

// this example assumes you already have this SynapseWorkspaceResource created on azure
// for more information of creating SynapseWorkspaceResource, please refer to the document of SynapseWorkspaceResource
string subscriptionId = "01234567-89ab-4def-0123-456789abcdef";
string resourceGroupName = "ExampleResourceGroup";
string workspaceName = "ExampleWorkspace";
ResourceIdentifier synapseWorkspaceResourceId = SynapseWorkspaceResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, workspaceName);
SynapseWorkspaceResource synapseWorkspace = client.GetSynapseWorkspaceResource(synapseWorkspaceResourceId);

// get the collection of this SynapseBigDataPoolInfoResource
SynapseBigDataPoolInfoCollection collection = synapseWorkspace.GetSynapseBigDataPoolInfos();

// invoke the operation
string bigDataPoolName = "ExamplePool";
SynapseBigDataPoolInfoData info = new SynapseBigDataPoolInfoData(new AzureLocation("West US 2"))
{
    AutoScale = new BigDataPoolAutoScaleProperties()
    {
        MinNodeCount = 3,
        IsEnabled = true,
        MaxNodeCount = 50,
    },
    AutoPause = new BigDataPoolAutoPauseProperties()
    {
        DelayInMinutes = 15,
        IsEnabled = true,
    },
    IsAutotuneEnabled = false,
    SparkEventsFolder = "/events",
    NodeCount = 4,
    LibraryRequirements = new BigDataPoolLibraryRequirements()
    {
        Content = "",
        Filename = "requirements.txt",
    },
    SparkVersion = "2.4",
    DefaultSparkLogFolder = "/logs",
    NodeSize = BigDataPoolNodeSize.Medium,
    NodeSizeFamily = BigDataPoolNodeSizeFamily.MemoryOptimized,
    Tags =
    {
    ["key"] = "value",
    },
};
ArmOperation<SynapseBigDataPoolInfoResource> lro = await collection.CreateOrUpdateAsync(WaitUntil.Completed, bigDataPoolName, info);
SynapseBigDataPoolInfoResource result = lro.Value;

// the variable result is a resource, you could call other operations on this instance as well
// but just for demo, we get its data from this resource instance
SynapseBigDataPoolInfoData resourceData = result.Data;
// for demo we just print out the id
Console.WriteLine($"Succeeded on id: {resourceData.Id}");

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

示例响应

状态代码:

200

{
  "id": "/subscriptions/01234567-89ab-4def-0123-456789abcdef/resourceGroups/ExampleResourceGroup/providers/Microsoft.Synapse/workspaces/ExampleWorkspace/bigDataPools/ExamplePool",
  "type": "Microsoft.Synapse/workspaces/bigDataPools",
  "location": "West US 2",
  "name": "ExamplePool",
  "tags": {
    "key": "value"
  },
  "properties": {
    "provisioningState": "Provisioning",
    "sparkVersion": "3.3",
    "nodeCount": 4,
    "nodeSize": "Medium",
    "nodeSizeFamily": "MemoryOptimized",
    "autoScale": {
      "enabled": true,
      "minNodeCount": 3,
      "maxNodeCount": 50
    },
    "autoPause": {
      "enabled": true,
      "delayInMinutes": 15
    },
    "creationDate": "1970-01-01T00:00:00Z",
    "sparkEventsFolder": "/events",
    "libraryRequirements": {
      "time": "1970-01-01T00:00:00Z",
      "content": "",
      "filename": "requirements.txt"
    },
    "defaultSparkLogFolder": "/logs",
    "lastSucceededTimestamp": "1970-01-01T10:00:00Z",
    "isAutotuneEnabled": false
  }
}

状态代码:

202

{
  "id": "/subscriptions/01234567-89ab-4def-0123-456789abcdef/resourceGroups/ExampleResourceGroup/providers/Microsoft.Synapse/workspaces/ExampleWorkspace/bigDataPools/ExamplePool",
  "type": "Microsoft.Synapse/workspaces/bigDataPools",
  "location": "West US 2",
  "name": "ExamplePool",
  "tags": {
    "key": "value"
  },
  "properties": {
    "provisioningState": "Provisioning",
    "sparkVersion": "3.3",
    "nodeCount": 4,
    "nodeSize": "Medium",
    "nodeSizeFamily": "MemoryOptimized",
    "autoScale": {
      "enabled": true,
      "minNodeCount": 3,
      "maxNodeCount": 50
    },
    "autoPause": {
      "enabled": true,
      "delayInMinutes": 15
    },
    "creationDate": "1970-01-01T00:00:00Z",
    "sparkEventsFolder": "/events",
    "libraryRequirements": {
      "time": "1970-01-01T00:00:00Z",
      "content": "",
      "filename": "requirements.txt"
    },
    "defaultSparkLogFolder": "/logs",
    "isAutotuneEnabled": false
  }
}

状态代码:

default

{
  "error": {
    "code": "Error code",
    "message": "Error message"
  }
}

定义

名称	说明
AutoPauseProperties	Spark 池自动暂停属性
AutoScaleProperties	Spark 池自动缩放属性
BigDataPoolResourceInfo	大数据池
ConfigurationType	spark 配置属性文件的类型。
DynamicExecutorAllocation	动态执行程序分配属性
ErrorAdditionalInfo	资源管理错误附加信息。
ErrorDetail	错误详细信息。
ErrorResponse	错误响应
LibraryInfo	有关在工作区级别创建的库/包的信息。
LibraryRequirements	Spark 池库版本要求
NodeSize	大数据池中每个节点的计算能力级别。
NodeSizeFamily	大数据池提供的节点类型。
SparkConfigProperties	Spark 池配置属性

AutoPauseProperties

Spark 池自动暂停属性

名称	类型	说明
delayInMinutes	integer	大数据池自动暂停之前的空闲时间分钟数。
enabled	boolean	是否为大数据池启用了自动暂停。

AutoScaleProperties

Spark 池自动缩放属性

名称	类型	说明
enabled	boolean	是否为大数据池启用自动缩放。
maxNodeCount	integer	大数据池可以支持的最大节点数。
minNodeCount	integer	大数据池可以支持的最小节点数。

BigDataPoolResourceInfo

大数据池

名称	类型	说明
id	string	资源的完全限定的资源 ID。 例如 - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location	string	资源所在的地理位置
name	string	资源的名称
properties.autoPause	AutoPauseProperties	Spark 池自动暂停属性 自动暂停属性
properties.autoScale	AutoScaleProperties	Spark 池自动缩放属性 自动缩放属性
properties.cacheSize	integer	缓存大小
properties.creationDate	string	创建大数据池的时间。
properties.customLibraries	LibraryInfo[]	与 Spark 池关联的自定义库/包的列表。
properties.defaultSparkLogFolder	string	将写入 Spark 日志的默认文件夹。
properties.dynamicExecutorAllocation	DynamicExecutorAllocation	动态执行程序分配
properties.isAutotuneEnabled	boolean	启用自动优化 是否需要自动优化。
properties.isComputeIsolationEnabled	boolean	是否需要计算隔离。
properties.lastSucceededTimestamp	string	成功更新大数据池的时间。
properties.libraryRequirements	LibraryRequirements	Spark 池库版本要求 库版本要求
properties.nodeCount	integer	大数据池中的节点数。
properties.nodeSize	NodeSize	大数据池中每个节点的计算能力级别。
properties.nodeSizeFamily	NodeSizeFamily	大数据池提供的节点类型。
properties.provisioningState	string	大数据池的状态。
properties.sessionLevelPackagesEnabled	boolean	会话级别包是否已启用。
properties.sparkConfigProperties	SparkConfigProperties	Spark 池配置属性 用于指定其他属性的 Spark 配置文件
properties.sparkEventsFolder	string	Spark 事件文件夹
properties.sparkVersion	string	Apache Spark 版本。
tags	object	资源标记。
type	string	资源类型。 例如“Microsoft.Compute/virtualMachines”或“Microsoft.Storage/storageAccounts”

ConfigurationType

spark 配置属性文件的类型。

名称	类型	说明
Artifact	string
File	string

DynamicExecutorAllocation

动态执行程序分配属性

名称	类型	说明
enabled	boolean	指示是否启用动态执行程序分配。
maxExecutors	integer	分配的执行程序的最大数目
minExecutors	integer	分配的执行程序的最小数目

ErrorAdditionalInfo

资源管理错误附加信息。

名称	类型	说明
info	object	其他信息。
type	string	其他信息类型。

ErrorDetail

错误详细信息。

名称	类型	说明
additionalInfo	ErrorAdditionalInfo[]	错误附加信息。
code	string	错误代码。
details	ErrorDetail[]	错误详细信息。
message	string	错误消息。
target	string	错误目标。

ErrorResponse

错误响应

名称	类型	说明
error	ErrorDetail	错误对象。

LibraryInfo

有关在工作区级别创建的库/包的信息。

名称	类型	说明
containerName	string	存储 Blob 容器名称。
creatorId	string	库/包的创建者 ID。
name	string	库的名称。
path	string	库的存储 Blob 路径。
provisioningStatus	string	库/包的预配状态。
type	string	库的类型。
uploadedTimestamp	string	库的上次更新时间。

LibraryRequirements

Spark 池库版本要求

名称	类型	说明
content	string	库要求。
filename	string	库要求文件的文件名。
time	string	库要求文件的上次更新时间。

NodeSize

大数据池中每个节点的计算能力级别。

名称	类型	说明
Large	string
Medium	string
None	string
Small	string
XLarge	string
XXLarge	string
XXXLarge	string

NodeSizeFamily

大数据池提供的节点类型。

名称	类型	说明
HardwareAcceleratedFPGA	string
HardwareAcceleratedGPU	string
MemoryOptimized	string
None	string

SparkConfigProperties

Spark 池配置属性

名称	类型	说明
configurationType	ConfigurationType	spark 配置属性文件的类型。
content	string	spark 配置属性。
filename	string	spark 配置文件的文件名。
time	string	Spark 配置属性文件的上次更新时间。