Big Data Pools - Create Or Update

Service:

Synapse

API Version:

2021-06-01-preview

建立巨量數據集區。
建立新的巨量數據集區。

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

With optional parameters:

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 參數

名稱	位於	必要	類型	Description
bigDataPoolName	path	True	string	巨量數據集區名稱
resourceGroupName	path	True	string	資源群組的名稱。 名稱不區分大小寫。
subscriptionId	path	True	string	目標訂用帳戶的標識碼。
workspaceName	path	True	string	工作區的名稱。
api-version	query	True	string	用於此作業的 API 版本。
force	query		boolean	是否要停止巨量數據集區中的任何執行中作業

要求本文

名稱	必要	類型	Description
location	True	string	資源所在的地理位置
properties.autoPause		AutoPauseProperties	Spark 集區自動暫停屬性 自動暫停屬性
properties.autoScale		AutoScaleProperties	Spark 集區自動調整屬性 自動調整屬性
properties.cacheSize		integer	快取大小
properties.customLibraries		LibraryInfo[]	與 Spark 集區相關聯的自訂連結庫/套件清單。
properties.defaultSparkLogFolder		string	將寫入 Spark 記錄的預設資料夾。
properties.dynamicExecutorAllocation		DynamicExecutorAllocation	動態執行程式配置
properties.isAutotuneEnabled		boolean	啟用自動調整 是否需要自動調整。
properties.isComputeIsolationEnabled		boolean	是否需要計算隔離。
properties.libraryRequirements		LibraryRequirements	Spark 集區連結庫版本需求 連結庫版本需求
properties.nodeCount		integer	巨量數據集區中的節點數目。
properties.nodeSize		NodeSize	巨量數據集區中每個節點的計算能力層級。
properties.nodeSizeFamily		NodeSizeFamily	巨量數據集區提供的節點種類。
properties.provisioningState		string	巨量數據集區的狀態。
properties.sessionLevelPackagesEnabled		boolean	會話層級套件是否已啟用。
properties.sparkConfigProperties		SparkConfigProperties	Spark 集區組態屬性 用來指定其他屬性的 Spark 組態檔
properties.sparkEventsFolder		string	Spark 事件資料夾
properties.sparkVersion		string	Apache Spark 版本。
tags		object	資源標籤。

回應

名稱	類型	Description
200 OK	BigDataPoolResourceInfo	確定
202 Accepted	BigDataPoolResourceInfo
Other Status Codes	ErrorResponse

範例

Create or update a Big Data pool

Sample Request

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

Sample Response

Status code:

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
  }
}

Status code:

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
  }
}

Status code:

default

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

定義

名稱	Description
AutoPauseProperties	Spark 集區自動暫停屬性
AutoScaleProperties	Spark 集區自動調整屬性
BigDataPoolResourceInfo	巨量數據集區
ConfigurationType	Spark 組態屬性檔的類型。
DynamicExecutorAllocation	動態執行程式配置屬性
ErrorAdditionalInfo	資源管理錯誤其他資訊。
ErrorDetail	錯誤詳細數據。
ErrorResponse	錯誤回應
LibraryInfo	在工作區層級建立的連結庫/套件相關信息。
LibraryRequirements	Spark 集區連結庫版本需求
NodeSize	巨量數據集區中每個節點的計算能力層級。
NodeSizeFamily	巨量數據集區提供的節點種類。
SparkConfigProperties	Spark 集區組態屬性

AutoPauseProperties

Spark 集區自動暫停屬性

名稱	類型	Description
delayInMinutes	integer	巨量數據集區自動暫停之前的空閒時間分鐘數。
enabled	boolean	是否已啟用巨量數據集區的自動暫停。

AutoScaleProperties

Spark 集區自動調整屬性

名稱	類型	Description
enabled	boolean	是否為巨量數據集區啟用自動調整。
maxNodeCount	integer	巨量數據集區可支持的節點數目上限。
minNodeCount	integer	巨量數據集區可支持的節點數目下限。

BigDataPoolResourceInfo

巨量數據集區

名稱	類型	Description
id	string	資源的完整資源識別碼。 例如 - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location	string	資源所在的地理位置
name	string	資源的名稱
properties.autoPause	AutoPauseProperties	Spark 集區自動暫停屬性 自動暫停屬性
properties.autoScale	AutoScaleProperties	Spark 集區自動調整屬性 自動調整屬性
properties.cacheSize	integer	快取大小
properties.creationDate	string	建立巨量數據集區的時間。
properties.customLibraries	LibraryInfo[]	與 Spark 集區相關聯的自訂連結庫/套件清單。
properties.defaultSparkLogFolder	string	將寫入 Spark 記錄的預設資料夾。
properties.dynamicExecutorAllocation	DynamicExecutorAllocation	動態執行程式配置
properties.isAutotuneEnabled	boolean	啟用自動調整 是否需要自動調整。
properties.isComputeIsolationEnabled	boolean	是否需要計算隔離。
properties.lastSucceededTimestamp	string	成功更新巨量數據集區的時間。
properties.libraryRequirements	LibraryRequirements	Spark 集區連結庫版本需求 連結庫版本需求
properties.nodeCount	integer	巨量數據集區中的節點數目。
properties.nodeSize	NodeSize	巨量數據集區中每個節點的計算能力層級。
properties.nodeSizeFamily	NodeSizeFamily	巨量數據集區提供的節點種類。
properties.provisioningState	string	巨量數據集區的狀態。
properties.sessionLevelPackagesEnabled	boolean	會話層級套件是否已啟用。
properties.sparkConfigProperties	SparkConfigProperties	Spark 集區組態屬性 用來指定其他屬性的 Spark 組態檔
properties.sparkEventsFolder	string	Spark 事件資料夾
properties.sparkVersion	string	Apache Spark 版本。
tags	object	資源標籤。
type	string	資源類型。 例如“Microsoft.Compute/virtualMachines” 或 “Microsoft.Storage/storageAccounts”

ConfigurationType

Spark 組態屬性檔的類型。

名稱	類型	Description
Artifact	string
File	string

DynamicExecutorAllocation

動態執行程式配置屬性

名稱	類型	Description
enabled	boolean	指出是否啟用動態執行程式配置。
maxExecutors	integer	已標註的執行程序數目上限
minExecutors	integer	已標註的執行程序數目下限

ErrorAdditionalInfo

資源管理錯誤其他資訊。

名稱	類型	Description
info	object	其他資訊。
type	string	其他信息類型。

ErrorDetail

錯誤詳細數據。

名稱	類型	Description
additionalInfo	ErrorAdditionalInfo[]	錯誤其他資訊。
code	string	錯誤碼。
details	ErrorDetail[]	錯誤詳細資料。
message	string	錯誤訊息。
target	string	錯誤目標。

ErrorResponse

錯誤回應

名稱	類型	Description
error	ErrorDetail	錯誤物件。

LibraryInfo

在工作區層級建立的連結庫/套件相關信息。

名稱	類型	Description
containerName	string	記憶體 Blob 容器名稱。
creatorId	string	連結庫/套件的建立者標識符。
name	string	連結庫的名稱。
path	string	連結庫的記憶體 Blob 路徑。
provisioningStatus	string	連結庫/套件的布建狀態。
type	string	連結庫的類型。
uploadedTimestamp	string	連結庫的上次更新時間。

LibraryRequirements

Spark 集區連結庫版本需求

名稱	類型	Description
content	string	連結庫需求。
filename	string	連結庫需求檔案的檔名。
time	string	連結庫需求檔案的上次更新時間。

NodeSize

巨量數據集區中每個節點的計算能力層級。

名稱	類型	Description
Large	string
Medium	string
None	string
Small	string
XLarge	string
XXLarge	string
XXXLarge	string

NodeSizeFamily

巨量數據集區提供的節點種類。

名稱	類型	Description
HardwareAcceleratedFPGA	string
HardwareAcceleratedGPU	string
MemoryOptimized	string
None	string

SparkConfigProperties

Spark 集區組態屬性

名稱	類型	Description
configurationType	ConfigurationType	Spark 組態屬性檔的類型。
content	string	Spark 組態屬性。
filename	string	spark 組態屬性檔案的檔名。
time	string	Spark 組態屬性檔的最後一次更新時間。