Big Data Pools - Create Or Update

Referensi

Service:: Synapse

API Version:: 2021-06-01-preview

Buat kumpulan Big Data.
Buat kumpulan Big Data baru.

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}

Parameter URI

Nama	Dalam	Diperlukan	Jenis	Deskripsi
bigDataPoolName	path	True	string	Nama kumpulan Big Data
resourceGroupName	path	True	string	Nama grup sumber daya. Nama tidak peka huruf besar/kecil.
subscriptionId	path	True	string	ID langganan target.
workspaceName	path	True	string	Nama ruang kerja.
api-version	query	True	string	Versi API yang digunakan untuk operasi ini.
force	query		boolean	Apakah akan menghentikan pekerjaan yang sedang berjalan di kumpulan Big Data

Isi Permintaan

Nama	Diperlukan	Jenis	Deskripsi
location	True	string	Lokasi geografis tempat sumber daya berada
properties.autoPause		AutoPauseProperties	Properti jeda otomatis kumpulan Spark Properti jeda otomatis
properties.autoScale		AutoScaleProperties	Properti penskalakan otomatis kumpulan Spark Properti penskalakan otomatis
properties.cacheSize		integer	Ukuran cache
properties.customLibraries		LibraryInfo[]	Daftar pustaka/paket kustom yang terkait dengan kumpulan spark.
properties.defaultSparkLogFolder		string	Folder default tempat log Spark akan ditulis.
properties.dynamicExecutorAllocation		DynamicExecutorAllocation	Alokasi Pelaksana Dinamis
properties.isAutotuneEnabled		boolean	Aktifkan Autotune Apakah autotune diperlukan atau tidak.
properties.isComputeIsolationEnabled		boolean	Apakah isolasi komputasi diperlukan atau tidak.
properties.libraryRequirements		LibraryRequirements	Persyaratan versi pustaka kumpulan Spark Persyaratan versi pustaka
properties.nodeCount		integer	Jumlah simpul di kumpulan Big Data.
properties.nodeSize		NodeSize	Tingkat daya komputasi yang dimiliki setiap simpul di kumpulan Big Data.
properties.nodeSizeFamily		NodeSizeFamily	Jenis simpul yang disediakan oleh kumpulan Big Data.
properties.provisioningState		string	Status kumpulan Big Data.
properties.sessionLevelPackagesEnabled		boolean	Apakah paket tingkat sesi diaktifkan.
properties.sparkConfigProperties		SparkConfigProperties	Properti Konfigurasi kumpulan Spark File konfigurasi Spark untuk menentukan properti tambahan
properties.sparkEventsFolder		string	Folder peristiwa Spark
properties.sparkVersion		string	Versi Apache Spark.
tags		object	Tag sumber daya.

Respons

Nama	Jenis	Deskripsi
200 OK	BigDataPoolResourceInfo	OK
202 Accepted	BigDataPoolResourceInfo
Other Status Codes	ErrorResponse

Contoh

Create or update a Big Data pool

Sample Request

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
  }
}

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

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

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

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

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"
  }
}

Definisi

Nama	Deskripsi
AutoPauseProperties	Properti jeda otomatis kumpulan Spark
AutoScaleProperties	Properti penskalakan otomatis kumpulan Spark
BigDataPoolResourceInfo	Kumpulan Big Data
ConfigurationType	Jenis file properti konfigurasi spark.
DynamicExecutorAllocation	Properti Alokasi Pelaksana Dinamis
ErrorAdditionalInfo	Info tambahan kesalahan manajemen sumber daya.
ErrorDetail	Detail kesalahan.
ErrorResponse	Respons kesalahan
LibraryInfo	Informasi tentang pustaka/paket yang dibuat di tingkat ruang kerja.
LibraryRequirements	Persyaratan versi pustaka kumpulan Spark
NodeSize	Tingkat daya komputasi yang dimiliki setiap simpul di kumpulan Big Data.
NodeSizeFamily	Jenis simpul yang disediakan oleh kumpulan Big Data.
SparkConfigProperties	Properti Konfigurasi kumpulan Spark

AutoPauseProperties

Properti jeda otomatis kumpulan Spark

Nama	Jenis	Deskripsi
delayInMinutes	integer	Jumlah menit waktu menganggur sebelum kumpulan Big Data secara otomatis dijeda.
enabled	boolean	Apakah jeda otomatis diaktifkan untuk kumpulan Big Data.

AutoScaleProperties

Properti penskalakan otomatis kumpulan Spark

Nama	Jenis	Deskripsi
enabled	boolean	Apakah penskalaan otomatis diaktifkan untuk kumpulan Big Data.
maxNodeCount	integer	Jumlah maksimum simpul yang dapat didukung oleh kumpulan Big Data.
minNodeCount	integer	Jumlah minimum simpul yang dapat didukung oleh kumpulan Big Data.

BigDataPoolResourceInfo

Kumpulan Big Data

Nama	Jenis	Deskripsi
id	string	ID sumber daya yang sepenuhnya memenuhi syarat untuk sumber daya. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location	string	Lokasi geografis tempat sumber daya berada
name	string	Nama sumber daya.
properties.autoPause	AutoPauseProperties	Properti jeda otomatis kumpulan Spark Properti jeda otomatis
properties.autoScale	AutoScaleProperties	Properti penskalakan otomatis kumpulan Spark Properti penskalakan otomatis
properties.cacheSize	integer	Ukuran cache
properties.creationDate	string	Waktu ketika kumpulan Big Data dibuat.
properties.customLibraries	LibraryInfo[]	Daftar pustaka/paket kustom yang terkait dengan kumpulan spark.
properties.defaultSparkLogFolder	string	Folder default tempat log Spark akan ditulis.
properties.dynamicExecutorAllocation	DynamicExecutorAllocation	Alokasi Pelaksana Dinamis
properties.isAutotuneEnabled	boolean	Aktifkan Autotune Apakah autotune diperlukan atau tidak.
properties.isComputeIsolationEnabled	boolean	Apakah isolasi komputasi diperlukan atau tidak.
properties.lastSucceededTimestamp	string	Waktu ketika kumpulan Big Data berhasil diperbarui.
properties.libraryRequirements	LibraryRequirements	Persyaratan versi pustaka kumpulan Spark Persyaratan versi pustaka
properties.nodeCount	integer	Jumlah simpul di kumpulan Big Data.
properties.nodeSize	NodeSize	Tingkat daya komputasi yang dimiliki setiap simpul di kumpulan Big Data.
properties.nodeSizeFamily	NodeSizeFamily	Jenis simpul yang disediakan oleh kumpulan Big Data.
properties.provisioningState	string	Status kumpulan Big Data.
properties.sessionLevelPackagesEnabled	boolean	Apakah paket tingkat sesi diaktifkan.
properties.sparkConfigProperties	SparkConfigProperties	Properti Konfigurasi kumpulan Spark File konfigurasi Spark untuk menentukan properti tambahan
properties.sparkEventsFolder	string	Folder peristiwa Spark
properties.sparkVersion	string	Versi Apache Spark.
tags	object	Tag sumber daya.
type	string	Jenis sumber daya. Misalnya, "Microsoft.Compute/virtualMachines" atau "Microsoft.Storage/storageAccounts"

ConfigurationType

Jenis file properti konfigurasi spark.

Nama	Jenis	Deskripsi
Artifact	string
File	string

DynamicExecutorAllocation

Properti Alokasi Pelaksana Dinamis

Nama	Jenis	Deskripsi
enabled	boolean	Menunjukkan apakah Alokasi Pelaksana Dinamis diaktifkan atau tidak.
maxExecutors	integer	Jumlah maksimum pelaksana yang dialokasikan
minExecutors	integer	Jumlah minimum pelaksana yang dialokasikan

ErrorAdditionalInfo

Info tambahan kesalahan manajemen sumber daya.

Nama	Jenis	Deskripsi
info	object	Info tambahan.
type	string	Jenis info tambahan.

ErrorDetail

Detail kesalahan.

Nama	Jenis	Deskripsi
additionalInfo	ErrorAdditionalInfo[]	Info tambahan kesalahan.
code	string	Kode kesalahan.
details	ErrorDetail[]	Detail kesalahan.
message	string	Pesan kesalahan.
target	string	Target kesalahan.

ErrorResponse

Respons kesalahan

Nama	Jenis	Deskripsi
error	ErrorDetail	Objek kesalahan.

LibraryInfo

Informasi tentang pustaka/paket yang dibuat di tingkat ruang kerja.

Nama	Jenis	Deskripsi
containerName	string	Nama kontainer blob penyimpanan.
creatorId	string	Id Pembuat pustaka/paket.
name	string	Nama pustaka.
path	string	Jalur blob penyimpanan pustaka.
provisioningStatus	string	Status provisi pustaka/paket.
type	string	Jenis pustaka.
uploadedTimestamp	string	Waktu pembaruan terakhir pustaka.

LibraryRequirements

Persyaratan versi pustaka kumpulan Spark

Nama	Jenis	Deskripsi
content	string	Persyaratan pustaka.
filename	string	Nama file file persyaratan pustaka.
time	string	Waktu pembaruan terakhir file persyaratan pustaka.

NodeSize

Tingkat daya komputasi yang dimiliki setiap simpul di kumpulan Big Data.

Nama	Jenis	Deskripsi
Large	string
Medium	string
None	string
Small	string
XLarge	string
XXLarge	string
XXXLarge	string

NodeSizeFamily

Jenis simpul yang disediakan oleh kumpulan Big Data.

Nama	Jenis	Deskripsi
HardwareAcceleratedFPGA	string
HardwareAcceleratedGPU	string
MemoryOptimized	string
None	string

SparkConfigProperties

Properti Konfigurasi kumpulan Spark

Nama	Jenis	Deskripsi
configurationType	ConfigurationType	Jenis file properti konfigurasi spark.
content	string	Properti konfigurasi spark.
filename	string	Nama file file properti konfigurasi spark.
time	string	Waktu pembaruan terakhir dari file properti konfigurasi spark.