Tuning Options - List Recommendations

Dienst:: PostgreSQL

API-Version:: 2025-08-01

Listet verfügbare Objektempfehlungen auf.

GET https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DBforPostgreSQL/flexibleServers/{serverName}/tuningOptions/{tuningOption}/recommendations?api-version=2025-08-01

Mit optionalen Parametern:

GET https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DBforPostgreSQL/flexibleServers/{serverName}/tuningOptions/{tuningOption}/recommendations?api-version=2025-08-01&recommendationType={recommendationType}

URI-Parameter

Name	In	Erforderlich	Typ	Beschreibung
resourceGroupName	path	True	string minLength: 1 maxLength: 90	Der Name der Ressourcengruppe. Bei dem Namen wird die Groß-/Kleinschreibung nicht beachtet.
serverName	path	True	string minLength: 3 maxLength: 63 pattern: ^[a-zA-Z0-9]+(-[a-zA-Z0-9]+)*	Name des Servers
subscriptionId	path	True	string (uuid)	Die ID des Zielabonnements. Der Wert muss eine UUID sein.
tuningOption	path	True	TuningOptionParameterEnum	Der Name der Optimierungsoption.
api-version	query	True	string minLength: 1	Hierbei handelt es sich um die für diesen Vorgang zu verwendende API-Version.
recommendationType	query		RecommendationTypeParameterEnum	Filter für die Empfehlungsliste. Ruft Empfehlungen basierend auf dem Typ ab.

Antworten

Name	Typ	Beschreibung
200 OK	ObjectRecommendationList	Azure-Operation erfolgreich abgeschlossen.
Other Status Codes	ErrorResponse	Unerwartete Fehlerantwort.

Sicherheit

azure_auth

Azure Active Directory OAuth2 Flow.

Typ: oauth2
Ablauf: implicit
Autorisierungs-URL: https://login.microsoftonline.com/common/oauth2/authorize

Bereiche

Name	Beschreibung
user_impersonation	Identitätswechsel ihres Benutzerkontos

Beispiele

List available index recommendations, filtered to exclusively get those of CREATE INDEX type.

List available index recommendations.

List available table recommendations, filtered to exclusively get those of ANALYZE TABLE type.

List available table recommendations.

List available index recommendations, filtered to exclusively get those of CREATE INDEX type.

Beispielanforderung

GET https://management.azure.com/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations?api-version=2025-08-01&recommendationType=CreateIndex


import com.azure.resourcemanager.postgresqlflexibleserver.models.RecommendationTypeParameterEnum;
import com.azure.resourcemanager.postgresqlflexibleserver.models.TuningOptionParameterEnum;

/**
 * Samples for TuningOptionsOperation ListRecommendations.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/
     * TuningOptionsListIndexRecommendationsFilteredForCreateIndex.json
     */
    /**
     * Sample code: List available index recommendations, filtered to exclusively get those of CREATE INDEX type.
     * 
     * @param manager Entry point to PostgreSqlManager.
     */
    public static void listAvailableIndexRecommendationsFilteredToExclusivelyGetThoseOfCREATEINDEXType(
        com.azure.resourcemanager.postgresqlflexibleserver.PostgreSqlManager manager) {
        manager.tuningOptionsOperations().listRecommendations("exampleresourcegroup", "exampleserver",
            TuningOptionParameterEnum.INDEX, RecommendationTypeParameterEnum.CREATE_INDEX,
            com.azure.core.util.Context.NONE);
    }
}

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.postgresqlflexibleservers import PostgreSQLManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-postgresqlflexibleservers
# USAGE
    python tuning_options_list_index_recommendations_filtered_for_create_index.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 = PostgreSQLManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="ffffffff-ffff-ffff-ffff-ffffffffffff",
    )

    response = client.tuning_options.list_recommendations(
        resource_group_name="exampleresourcegroup",
        server_name="exampleserver",
        tuning_option="index",
    )
    for item in response:
        print(item)


# x-ms-original-file: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListIndexRecommendationsFilteredForCreateIndex.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 armpostgresqlflexibleservers_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/postgresql/armpostgresqlflexibleservers/v5"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/e96c24570a484cff13d153fb472f812878866a39/specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListIndexRecommendationsFilteredForCreateIndex.json
func ExampleTuningOptionsClient_NewListRecommendationsPager_listAvailableIndexRecommendationsFilteredToExclusivelyGetThoseOfCreateIndexType() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armpostgresqlflexibleservers.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	pager := clientFactory.NewTuningOptionsClient().NewListRecommendationsPager("exampleresourcegroup", "exampleserver", armpostgresqlflexibleservers.TuningOptionParameterEnumIndex, &armpostgresqlflexibleservers.TuningOptionsClientListRecommendationsOptions{RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeParameterEnumCreateIndex)})
	for pager.More() {
		page, err := pager.NextPage(ctx)
		if err != nil {
			log.Fatalf("failed to advance page: %v", err)
		}
		for _, v := range page.Value {
			// You could use page here. We use blank identifier for just demo purposes.
			_ = v
		}
		// If the HTTP response code is 200 as defined in example definition, your page structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
		// page.ObjectRecommendationList = armpostgresqlflexibleservers.ObjectRecommendationList{
		// 	Value: []*armpostgresqlflexibleservers.ObjectRecommendation{
		// 		{
		// 			Name: to.Ptr("CreateIndex_ecommerce_public_ps_suppkey_idx"),
		// 			Type: to.Ptr("Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/index"),
		// 			ID: to.Ptr("/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations/1"),
		// 			Kind: to.Ptr(""),
		// 			Properties: &armpostgresqlflexibleservers.ObjectRecommendationProperties{
		// 				AnalyzedWorkload: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesAnalyzedWorkload{
		// 					EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					QueryCount: to.Ptr[int32](25),
		// 					StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T19:30:22.123Z"); return t}()),
		// 				},
		// 				EstimatedImpact: []*armpostgresqlflexibleservers.ImpactRecord{
		// 					{
		// 						AbsoluteValue: to.Ptr[float64](15.3671875),
		// 						DimensionName: to.Ptr("IndexSize"),
		// 						Unit: to.Ptr("MB"),
		// 					},
		// 					{
		// 						AbsoluteValue: to.Ptr[float64](99.67668452400453),
		// 						DimensionName: to.Ptr("QueryCostImprovement"),
		// 						QueryID: to.Ptr[int64](-3775242682326862300),
		// 						Unit: to.Ptr("Percentage"),
		// 					},
		// 					{
		// 						AbsoluteValue: to.Ptr[float64](85.56742436827899),
		// 						DimensionName: to.Ptr("QueryCostImprovement"),
		// 						QueryID: to.Ptr[int64](6829938984138799000),
		// 						Unit: to.Ptr("Percentage"),
		// 				}},
		// 				ImplementationDetails: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesImplementationDetails{
		// 					Method: to.Ptr("SQL"),
		// 					Script: to.Ptr("create index concurrently ps_suppkey_idx on public.partsupp(ps_suppkey)"),
		// 				},
		// 				ImprovedQueryIDs: []*int64{
		// 					to.Ptr[int64](-3775242682326862300),
		// 					to.Ptr[int64](6829938984138799000)},
		// 					InitialRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					LastRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					RecommendationReason: to.Ptr("Column \"partsupp\".\"ps_suppkey\" appear in Join On clause(s) in query -3775242682326862475; Column \"partsupp\".\"ps_suppkey\" appear in Join On clause(s) in query 6829938984138799352;"),
		// 					RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeEnumCreateIndex),
		// 					TimesRecommended: to.Ptr[int32](1),
		// 					Details: &armpostgresqlflexibleservers.ObjectRecommendationDetails{
		// 						Schema: to.Ptr("public"),
		// 						DatabaseName: to.Ptr("ecommerce"),
		// 						IndexColumns: []*string{
		// 							to.Ptr("\"partsupp\".\"ps_suppkey\"")},
		// 							IndexName: to.Ptr("ps_suppkey_idx"),
		// 							IndexType: to.Ptr("BTREE"),
		// 							Table: to.Ptr("partsupp"),
		// 						},
		// 					},
		// 				},
		// 				{
		// 					Name: to.Ptr("CreateIndex_ecommerce_public_ps_partkey_idx"),
		// 					Type: to.Ptr("Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/index"),
		// 					ID: to.Ptr("/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations/2"),
		// 					Kind: to.Ptr(""),
		// 					Properties: &armpostgresqlflexibleservers.ObjectRecommendationProperties{
		// 						AnalyzedWorkload: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesAnalyzedWorkload{
		// 							EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 							QueryCount: to.Ptr[int32](25),
		// 							StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T19:30:22.123Z"); return t}()),
		// 						},
		// 						EstimatedImpact: []*armpostgresqlflexibleservers.ImpactRecord{
		// 							{
		// 								AbsoluteValue: to.Ptr[float64](15.3671875),
		// 								DimensionName: to.Ptr("IndexSize"),
		// 								Unit: to.Ptr("MB"),
		// 							},
		// 							{
		// 								AbsoluteValue: to.Ptr[float64](99.67668452400453),
		// 								DimensionName: to.Ptr("QueryCostImprovement"),
		// 								QueryID: to.Ptr[int64](-3775242682326862300),
		// 								Unit: to.Ptr("Percentage"),
		// 							},
		// 							{
		// 								AbsoluteValue: to.Ptr[float64](79.06603712430707),
		// 								DimensionName: to.Ptr("QueryCostImprovement"),
		// 								QueryID: to.Ptr[int64](4735984994430715000),
		// 								Unit: to.Ptr("Percentage"),
		// 						}},
		// 						ImplementationDetails: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesImplementationDetails{
		// 							Method: to.Ptr("SQL"),
		// 							Script: to.Ptr("create index concurrently ps_partkey_idx on public.partsupp(ps_partkey)"),
		// 						},
		// 						ImprovedQueryIDs: []*int64{
		// 							to.Ptr[int64](-3775242682326862300),
		// 							to.Ptr[int64](4735984994430715000)},
		// 							InitialRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 							LastRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 							RecommendationReason: to.Ptr("Column \"partsupp\".\"ps_partkey\" appear in Equal Predicate clause(s) in query -3775242682326862475; Column \"partsupp\".\"ps_partkey\" appear in Join On clause(s) in query 4735984994430714735;"),
		// 							RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeEnumCreateIndex),
		// 							TimesRecommended: to.Ptr[int32](1),
		// 							Details: &armpostgresqlflexibleservers.ObjectRecommendationDetails{
		// 								Schema: to.Ptr("public"),
		// 								DatabaseName: to.Ptr("ecommerce"),
		// 								IndexColumns: []*string{
		// 									to.Ptr("\"partsupp\".\"ps_partkey\"")},
		// 									IndexName: to.Ptr("ps_partkey_idx"),
		// 									IndexType: to.Ptr("BTREE"),
		// 									Table: to.Ptr("partsupp"),
		// 								},
		// 							},
		// 					}},
		// 				}
	}
}

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

const { PostgreSQLManagementFlexibleServerClient } = require("@azure/arm-postgresql-flexible");
const { DefaultAzureCredential } = require("@azure/identity");
require("dotenv/config");

/**
 * This sample demonstrates how to Lists available object recommendations.
 *
 * @summary Lists available object recommendations.
 * x-ms-original-file: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListIndexRecommendationsFilteredForCreateIndex.json
 */
async function listAvailableIndexRecommendationsFilteredToExclusivelyGetThoseOfCreateIndexType() {
  const subscriptionId =
    process.env["POSTGRESQL_SUBSCRIPTION_ID"] || "ffffffff-ffff-ffff-ffff-ffffffffffff";
  const resourceGroupName = process.env["POSTGRESQL_RESOURCE_GROUP"] || "exampleresourcegroup";
  const serverName = "exampleserver";
  const tuningOption = "index";
  const recommendationType = "CreateIndex";
  const options = {
    recommendationType,
  };
  const credential = new DefaultAzureCredential();
  const client = new PostgreSQLManagementFlexibleServerClient(credential, subscriptionId);
  const resArray = new Array();
  for await (const item of client.tuningOptionsOperations.listRecommendations(
    resourceGroupName,
    serverName,
    tuningOption,
    options,
  )) {
    resArray.push(item);
  }
  console.log(resArray);
}

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

using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.PostgreSql.FlexibleServers.Models;
using Azure.ResourceManager.PostgreSql.FlexibleServers;

// Generated from example definition: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListIndexRecommendationsFilteredForCreateIndex.json
// this example is just showing the usage of "TuningOptions_ListRecommendations" 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://dotnet.territoriali.olinfo.it/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 PostgreSqlFlexibleServerTuningOptionResource created on azure
// for more information of creating PostgreSqlFlexibleServerTuningOptionResource, please refer to the document of PostgreSqlFlexibleServerTuningOptionResource
string subscriptionId = "ffffffff-ffff-ffff-ffff-ffffffffffff";
string resourceGroupName = "exampleresourcegroup";
string serverName = "exampleserver";
PostgreSqlFlexibleServerTuningOptionType tuningOption = PostgreSqlFlexibleServerTuningOptionType.Index;
ResourceIdentifier postgreSqlFlexibleServerTuningOptionResourceId = PostgreSqlFlexibleServerTuningOptionResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, serverName, tuningOption);
PostgreSqlFlexibleServerTuningOptionResource postgreSqlFlexibleServerTuningOption = client.GetPostgreSqlFlexibleServerTuningOptionResource(postgreSqlFlexibleServerTuningOptionResourceId);

// invoke the operation and iterate over the result
PostgreSqlFlexibleServerRecommendationFilterType? recommendationType = PostgreSqlFlexibleServerRecommendationFilterType.CreateIndex;
await foreach (ObjectRecommendation item in postgreSqlFlexibleServerTuningOption.GetRecommendationsAsync(recommendationType: recommendationType))
{
    Console.WriteLine($"Succeeded: {item}");
}

Console.WriteLine("Succeeded");

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

Beispiel für eine Antwort

Statuscode:: 200

{
  "value": [
    {
      "name": "CreateIndex_ecommerce_public_ps_suppkey_idx",
      "type": "Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/index",
      "id": "/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations/1",
      "kind": "",
      "properties": {
        "analyzedWorkload": {
          "endTime": "2025-06-01T20:30:22.123456Z",
          "queryCount": 25,
          "startTime": "2025-06-01T19:30:22.123456Z"
        },
        "estimatedImpact": [
          {
            "absoluteValue": 15.3671875,
            "dimensionName": "IndexSize",
            "unit": "MB"
          },
          {
            "absoluteValue": 99.67668452400453,
            "dimensionName": "QueryCostImprovement",
            "queryId": -3775242682326862300,
            "unit": "Percentage"
          },
          {
            "absoluteValue": 85.56742436827899,
            "dimensionName": "QueryCostImprovement",
            "queryId": 6829938984138799000,
            "unit": "Percentage"
          }
        ],
        "implementationDetails": {
          "method": "SQL",
          "script": "create index concurrently ps_suppkey_idx on public.partsupp(ps_suppkey)"
        },
        "improvedQueryIds": [
          -3775242682326862300,
          6829938984138799000
        ],
        "initialRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "lastRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "recommendationReason": "Column \"partsupp\".\"ps_suppkey\" appear in Join On clause(s) in query -3775242682326862475; Column \"partsupp\".\"ps_suppkey\" appear in Join On clause(s) in query 6829938984138799352;",
        "recommendationType": "CreateIndex",
        "timesRecommended": 1,
        "details": {
          "schema": "public",
          "databaseName": "ecommerce",
          "indexColumns": [
            "\"partsupp\".\"ps_suppkey\""
          ],
          "indexName": "ps_suppkey_idx",
          "indexType": "BTREE",
          "table": "partsupp"
        }
      }
    },
    {
      "name": "CreateIndex_ecommerce_public_ps_partkey_idx",
      "type": "Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/index",
      "id": "/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations/2",
      "kind": "",
      "properties": {
        "analyzedWorkload": {
          "endTime": "2025-06-01T20:30:22.123456Z",
          "queryCount": 25,
          "startTime": "2025-06-01T19:30:22.123456Z"
        },
        "estimatedImpact": [
          {
            "absoluteValue": 15.3671875,
            "dimensionName": "IndexSize",
            "unit": "MB"
          },
          {
            "absoluteValue": 99.67668452400453,
            "dimensionName": "QueryCostImprovement",
            "queryId": -3775242682326862300,
            "unit": "Percentage"
          },
          {
            "absoluteValue": 79.06603712430707,
            "dimensionName": "QueryCostImprovement",
            "queryId": 4735984994430715000,
            "unit": "Percentage"
          }
        ],
        "implementationDetails": {
          "method": "SQL",
          "script": "create index concurrently ps_partkey_idx on public.partsupp(ps_partkey)"
        },
        "improvedQueryIds": [
          -3775242682326862300,
          4735984994430715000
        ],
        "initialRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "lastRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "recommendationReason": "Column \"partsupp\".\"ps_partkey\" appear in Equal Predicate clause(s) in query -3775242682326862475; Column \"partsupp\".\"ps_partkey\" appear in Join On clause(s) in query 4735984994430714735;",
        "recommendationType": "CreateIndex",
        "timesRecommended": 1,
        "details": {
          "schema": "public",
          "databaseName": "ecommerce",
          "indexColumns": [
            "\"partsupp\".\"ps_partkey\""
          ],
          "indexName": "ps_partkey_idx",
          "indexType": "BTREE",
          "table": "partsupp"
        }
      }
    }
  ]
}

List available index recommendations.

Beispielanforderung

GET https://management.azure.com/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations?api-version=2025-08-01


import com.azure.resourcemanager.postgresqlflexibleserver.models.TuningOptionParameterEnum;

/**
 * Samples for TuningOptionsOperation ListRecommendations.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/
     * TuningOptionsListIndexRecommendations.json
     */
    /**
     * Sample code: List available index recommendations.
     * 
     * @param manager Entry point to PostgreSqlManager.
     */
    public static void listAvailableIndexRecommendations(
        com.azure.resourcemanager.postgresqlflexibleserver.PostgreSqlManager manager) {
        manager.tuningOptionsOperations().listRecommendations("exampleresourcegroup", "exampleserver",
            TuningOptionParameterEnum.INDEX, null, com.azure.core.util.Context.NONE);
    }
}

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.postgresqlflexibleservers import PostgreSQLManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-postgresqlflexibleservers
# USAGE
    python tuning_options_list_index_recommendations.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 = PostgreSQLManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="ffffffff-ffff-ffff-ffff-ffffffffffff",
    )

    response = client.tuning_options.list_recommendations(
        resource_group_name="exampleresourcegroup",
        server_name="exampleserver",
        tuning_option="index",
    )
    for item in response:
        print(item)


# x-ms-original-file: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListIndexRecommendations.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 armpostgresqlflexibleservers_test

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
	"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/postgresql/armpostgresqlflexibleservers/v5"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/e96c24570a484cff13d153fb472f812878866a39/specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListIndexRecommendations.json
func ExampleTuningOptionsClient_NewListRecommendationsPager_listAvailableIndexRecommendations() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armpostgresqlflexibleservers.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	pager := clientFactory.NewTuningOptionsClient().NewListRecommendationsPager("exampleresourcegroup", "exampleserver", armpostgresqlflexibleservers.TuningOptionParameterEnumIndex, &armpostgresqlflexibleservers.TuningOptionsClientListRecommendationsOptions{RecommendationType: nil})
	for pager.More() {
		page, err := pager.NextPage(ctx)
		if err != nil {
			log.Fatalf("failed to advance page: %v", err)
		}
		for _, v := range page.Value {
			// You could use page here. We use blank identifier for just demo purposes.
			_ = v
		}
		// If the HTTP response code is 200 as defined in example definition, your page structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
		// page.ObjectRecommendationList = armpostgresqlflexibleservers.ObjectRecommendationList{
		// 	Value: []*armpostgresqlflexibleservers.ObjectRecommendation{
		// 		{
		// 			Name: to.Ptr("CreateIndex_ecommerce_public_ps_suppkey_idx"),
		// 			Type: to.Ptr("Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/index"),
		// 			ID: to.Ptr("/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations/1"),
		// 			Kind: to.Ptr(""),
		// 			Properties: &armpostgresqlflexibleservers.ObjectRecommendationProperties{
		// 				AnalyzedWorkload: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesAnalyzedWorkload{
		// 					EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					QueryCount: to.Ptr[int32](25),
		// 					StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T19:30:22.123Z"); return t}()),
		// 				},
		// 				EstimatedImpact: []*armpostgresqlflexibleservers.ImpactRecord{
		// 					{
		// 						AbsoluteValue: to.Ptr[float64](15.3671875),
		// 						DimensionName: to.Ptr("IndexSize"),
		// 						Unit: to.Ptr("MB"),
		// 					},
		// 					{
		// 						AbsoluteValue: to.Ptr[float64](99.67668452400453),
		// 						DimensionName: to.Ptr("QueryCostImprovement"),
		// 						QueryID: to.Ptr[int64](-3775242682326862300),
		// 						Unit: to.Ptr("Percentage"),
		// 					},
		// 					{
		// 						AbsoluteValue: to.Ptr[float64](85.56742436827899),
		// 						DimensionName: to.Ptr("QueryCostImprovement"),
		// 						QueryID: to.Ptr[int64](6829938984138799000),
		// 						Unit: to.Ptr("Percentage"),
		// 				}},
		// 				ImplementationDetails: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesImplementationDetails{
		// 					Method: to.Ptr("SQL"),
		// 					Script: to.Ptr("create index concurrently ps_suppkey_idx on public.partsupp(ps_suppkey)"),
		// 				},
		// 				ImprovedQueryIDs: []*int64{
		// 					to.Ptr[int64](-3775242682326862300),
		// 					to.Ptr[int64](6829938984138799000)},
		// 					InitialRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					LastRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					RecommendationReason: to.Ptr("Column \"partsupp\".\"ps_suppkey\" appear in Join On clause(s) in query -3775242682326862475; Column \"partsupp\".\"ps_suppkey\" appear in Join On clause(s) in query 6829938984138799352;"),
		// 					RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeEnumCreateIndex),
		// 					TimesRecommended: to.Ptr[int32](1),
		// 					Details: &armpostgresqlflexibleservers.ObjectRecommendationDetails{
		// 						Schema: to.Ptr("public"),
		// 						DatabaseName: to.Ptr("ecommerce"),
		// 						IndexColumns: []*string{
		// 							to.Ptr("\"partsupp\".\"ps_suppkey\"")},
		// 							IndexName: to.Ptr("ps_suppkey_idx"),
		// 							IndexType: to.Ptr("BTREE"),
		// 							Table: to.Ptr("partsupp"),
		// 						},
		// 					},
		// 				},
		// 				{
		// 					Name: to.Ptr("CreateIndex_ecommerce_public_ps_partkey_idx"),
		// 					Type: to.Ptr("Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/index"),
		// 					ID: to.Ptr("/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations/2"),
		// 					Kind: to.Ptr(""),
		// 					Properties: &armpostgresqlflexibleservers.ObjectRecommendationProperties{
		// 						AnalyzedWorkload: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesAnalyzedWorkload{
		// 							EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 							QueryCount: to.Ptr[int32](25),
		// 							StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T19:30:22.123Z"); return t}()),
		// 						},
		// 						EstimatedImpact: []*armpostgresqlflexibleservers.ImpactRecord{
		// 							{
		// 								AbsoluteValue: to.Ptr[float64](15.3671875),
		// 								DimensionName: to.Ptr("IndexSize"),
		// 								Unit: to.Ptr("MB"),
		// 							},
		// 							{
		// 								AbsoluteValue: to.Ptr[float64](99.67668452400453),
		// 								DimensionName: to.Ptr("QueryCostImprovement"),
		// 								QueryID: to.Ptr[int64](-3775242682326862300),
		// 								Unit: to.Ptr("Percentage"),
		// 							},
		// 							{
		// 								AbsoluteValue: to.Ptr[float64](79.06603712430707),
		// 								DimensionName: to.Ptr("QueryCostImprovement"),
		// 								QueryID: to.Ptr[int64](4735984994430715000),
		// 								Unit: to.Ptr("Percentage"),
		// 						}},
		// 						ImplementationDetails: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesImplementationDetails{
		// 							Method: to.Ptr("SQL"),
		// 							Script: to.Ptr("create index concurrently ps_partkey_idx on public.partsupp(ps_partkey)"),
		// 						},
		// 						ImprovedQueryIDs: []*int64{
		// 							to.Ptr[int64](-3775242682326862300),
		// 							to.Ptr[int64](4735984994430715000)},
		// 							InitialRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 							LastRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 							RecommendationReason: to.Ptr("Column \"partsupp\".\"ps_partkey\" appear in Equal Predicate clause(s) in query -3775242682326862475; Column \"partsupp\".\"ps_partkey\" appear in Join On clause(s) in query 4735984994430714735;"),
		// 							RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeEnumCreateIndex),
		// 							TimesRecommended: to.Ptr[int32](1),
		// 							Details: &armpostgresqlflexibleservers.ObjectRecommendationDetails{
		// 								Schema: to.Ptr("public"),
		// 								DatabaseName: to.Ptr("ecommerce"),
		// 								IndexColumns: []*string{
		// 									to.Ptr("\"partsupp\".\"ps_partkey\"")},
		// 									IndexName: to.Ptr("ps_partkey_idx"),
		// 									IndexType: to.Ptr("BTREE"),
		// 									Table: to.Ptr("partsupp"),
		// 								},
		// 							},
		// 					}},
		// 				}
	}
}

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

const { PostgreSQLManagementFlexibleServerClient } = require("@azure/arm-postgresql-flexible");
const { DefaultAzureCredential } = require("@azure/identity");
require("dotenv/config");

/**
 * This sample demonstrates how to Lists available object recommendations.
 *
 * @summary Lists available object recommendations.
 * x-ms-original-file: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListIndexRecommendations.json
 */
async function listAvailableIndexRecommendations() {
  const subscriptionId =
    process.env["POSTGRESQL_SUBSCRIPTION_ID"] || "ffffffff-ffff-ffff-ffff-ffffffffffff";
  const resourceGroupName = process.env["POSTGRESQL_RESOURCE_GROUP"] || "exampleresourcegroup";
  const serverName = "exampleserver";
  const tuningOption = "index";
  const credential = new DefaultAzureCredential();
  const client = new PostgreSQLManagementFlexibleServerClient(credential, subscriptionId);
  const resArray = new Array();
  for await (const item of client.tuningOptionsOperations.listRecommendations(
    resourceGroupName,
    serverName,
    tuningOption,
  )) {
    resArray.push(item);
  }
  console.log(resArray);
}

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

using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.PostgreSql.FlexibleServers.Models;
using Azure.ResourceManager.PostgreSql.FlexibleServers;

// Generated from example definition: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListIndexRecommendations.json
// this example is just showing the usage of "TuningOptions_ListRecommendations" 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://dotnet.territoriali.olinfo.it/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 PostgreSqlFlexibleServerTuningOptionResource created on azure
// for more information of creating PostgreSqlFlexibleServerTuningOptionResource, please refer to the document of PostgreSqlFlexibleServerTuningOptionResource
string subscriptionId = "ffffffff-ffff-ffff-ffff-ffffffffffff";
string resourceGroupName = "exampleresourcegroup";
string serverName = "exampleserver";
PostgreSqlFlexibleServerTuningOptionType tuningOption = PostgreSqlFlexibleServerTuningOptionType.Index;
ResourceIdentifier postgreSqlFlexibleServerTuningOptionResourceId = PostgreSqlFlexibleServerTuningOptionResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, serverName, tuningOption);
PostgreSqlFlexibleServerTuningOptionResource postgreSqlFlexibleServerTuningOption = client.GetPostgreSqlFlexibleServerTuningOptionResource(postgreSqlFlexibleServerTuningOptionResourceId);

// invoke the operation and iterate over the result
await foreach (ObjectRecommendation item in postgreSqlFlexibleServerTuningOption.GetRecommendationsAsync())
{
    Console.WriteLine($"Succeeded: {item}");
}

Console.WriteLine("Succeeded");

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

Beispiel für eine Antwort

Statuscode:: 200

{
  "value": [
    {
      "name": "CreateIndex_ecommerce_public_ps_suppkey_idx",
      "type": "Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/index",
      "id": "/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations/1",
      "kind": "",
      "properties": {
        "analyzedWorkload": {
          "endTime": "2025-06-01T20:30:22.123456Z",
          "queryCount": 25,
          "startTime": "2025-06-01T19:30:22.123456Z"
        },
        "estimatedImpact": [
          {
            "absoluteValue": 15.3671875,
            "dimensionName": "IndexSize",
            "unit": "MB"
          },
          {
            "absoluteValue": 99.67668452400453,
            "dimensionName": "QueryCostImprovement",
            "queryId": -3775242682326862300,
            "unit": "Percentage"
          },
          {
            "absoluteValue": 85.56742436827899,
            "dimensionName": "QueryCostImprovement",
            "queryId": 6829938984138799000,
            "unit": "Percentage"
          }
        ],
        "implementationDetails": {
          "method": "SQL",
          "script": "create index concurrently ps_suppkey_idx on public.partsupp(ps_suppkey)"
        },
        "improvedQueryIds": [
          -3775242682326862300,
          6829938984138799000
        ],
        "initialRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "lastRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "recommendationReason": "Column \"partsupp\".\"ps_suppkey\" appear in Join On clause(s) in query -3775242682326862475; Column \"partsupp\".\"ps_suppkey\" appear in Join On clause(s) in query 6829938984138799352;",
        "recommendationType": "CreateIndex",
        "timesRecommended": 1,
        "details": {
          "schema": "public",
          "databaseName": "ecommerce",
          "indexColumns": [
            "\"partsupp\".\"ps_suppkey\""
          ],
          "indexName": "ps_suppkey_idx",
          "indexType": "BTREE",
          "table": "partsupp"
        }
      }
    },
    {
      "name": "CreateIndex_ecommerce_public_ps_partkey_idx",
      "type": "Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/index",
      "id": "/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/index/recommendations/2",
      "kind": "",
      "properties": {
        "analyzedWorkload": {
          "endTime": "2025-06-01T20:30:22.123456Z",
          "queryCount": 25,
          "startTime": "2025-06-01T19:30:22.123456Z"
        },
        "estimatedImpact": [
          {
            "absoluteValue": 15.3671875,
            "dimensionName": "IndexSize",
            "unit": "MB"
          },
          {
            "absoluteValue": 99.67668452400453,
            "dimensionName": "QueryCostImprovement",
            "queryId": -3775242682326862300,
            "unit": "Percentage"
          },
          {
            "absoluteValue": 79.06603712430707,
            "dimensionName": "QueryCostImprovement",
            "queryId": 4735984994430715000,
            "unit": "Percentage"
          }
        ],
        "implementationDetails": {
          "method": "SQL",
          "script": "create index concurrently ps_partkey_idx on public.partsupp(ps_partkey)"
        },
        "improvedQueryIds": [
          -3775242682326862300,
          4735984994430715000
        ],
        "initialRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "lastRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "recommendationReason": "Column \"partsupp\".\"ps_partkey\" appear in Equal Predicate clause(s) in query -3775242682326862475; Column \"partsupp\".\"ps_partkey\" appear in Join On clause(s) in query 4735984994430714735;",
        "recommendationType": "CreateIndex",
        "timesRecommended": 1,
        "details": {
          "schema": "public",
          "databaseName": "ecommerce",
          "indexColumns": [
            "\"partsupp\".\"ps_partkey\""
          ],
          "indexName": "ps_partkey_idx",
          "indexType": "BTREE",
          "table": "partsupp"
        }
      }
    }
  ]
}

List available table recommendations, filtered to exclusively get those of ANALYZE TABLE type.

Beispielanforderung

GET https://management.azure.com/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations?api-version=2025-08-01&recommendationType=AnalyzeTable


import com.azure.resourcemanager.postgresqlflexibleserver.models.RecommendationTypeParameterEnum;
import com.azure.resourcemanager.postgresqlflexibleserver.models.TuningOptionParameterEnum;

/**
 * Samples for TuningOptionsOperation ListRecommendations.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/
     * TuningOptionsListTableRecommendationsFilteredForAnalyzeTable.json
     */
    /**
     * Sample code: List available table recommendations, filtered to exclusively get those of ANALYZE TABLE type.
     * 
     * @param manager Entry point to PostgreSqlManager.
     */
    public static void listAvailableTableRecommendationsFilteredToExclusivelyGetThoseOfANALYZETABLEType(
        com.azure.resourcemanager.postgresqlflexibleserver.PostgreSqlManager manager) {
        manager.tuningOptionsOperations().listRecommendations("exampleresourcegroup", "exampleserver",
            TuningOptionParameterEnum.TABLE, RecommendationTypeParameterEnum.ANALYZE_TABLE,
            com.azure.core.util.Context.NONE);
    }
}

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.postgresqlflexibleservers import PostgreSQLManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-postgresqlflexibleservers
# USAGE
    python tuning_options_list_table_recommendations_filtered_for_analyze_table.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 = PostgreSQLManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="ffffffff-ffff-ffff-ffff-ffffffffffff",
    )

    response = client.tuning_options.list_recommendations(
        resource_group_name="exampleresourcegroup",
        server_name="exampleserver",
        tuning_option="table",
    )
    for item in response:
        print(item)


# x-ms-original-file: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListTableRecommendationsFilteredForAnalyzeTable.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 armpostgresqlflexibleservers_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/postgresql/armpostgresqlflexibleservers/v5"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/e96c24570a484cff13d153fb472f812878866a39/specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListTableRecommendationsFilteredForAnalyzeTable.json
func ExampleTuningOptionsClient_NewListRecommendationsPager_listAvailableTableRecommendationsFilteredToExclusivelyGetThoseOfAnalyzeTableType() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armpostgresqlflexibleservers.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	pager := clientFactory.NewTuningOptionsClient().NewListRecommendationsPager("exampleresourcegroup", "exampleserver", armpostgresqlflexibleservers.TuningOptionParameterEnumTable, &armpostgresqlflexibleservers.TuningOptionsClientListRecommendationsOptions{RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeParameterEnumAnalyzeTable)})
	for pager.More() {
		page, err := pager.NextPage(ctx)
		if err != nil {
			log.Fatalf("failed to advance page: %v", err)
		}
		for _, v := range page.Value {
			// You could use page here. We use blank identifier for just demo purposes.
			_ = v
		}
		// If the HTTP response code is 200 as defined in example definition, your page structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
		// page.ObjectRecommendationList = armpostgresqlflexibleservers.ObjectRecommendationList{
		// 	Value: []*armpostgresqlflexibleservers.ObjectRecommendation{
		// 		{
		// 			Name: to.Ptr("Analyze_postgres_public_nation"),
		// 			Type: to.Ptr("Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/table"),
		// 			ID: to.Ptr("/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations/1"),
		// 			Kind: to.Ptr(""),
		// 			Properties: &armpostgresqlflexibleservers.ObjectRecommendationProperties{
		// 				AnalyzedWorkload: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesAnalyzedWorkload{
		// 					EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					QueryCount: to.Ptr[int32](22),
		// 					StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T19:30:22.123Z"); return t}()),
		// 				},
		// 				EstimatedImpact: []*armpostgresqlflexibleservers.ImpactRecord{
		// 				},
		// 				ImplementationDetails: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesImplementationDetails{
		// 					Method: to.Ptr("SQL"),
		// 					Script: to.Ptr("analyze table public.nation"),
		// 				},
		// 				ImprovedQueryIDs: []*int64{
		// 					to.Ptr[int64](2071439792137543700),
		// 					to.Ptr[int64](7860150533486302000),
		// 					to.Ptr[int64](6411979446509506000),
		// 					to.Ptr[int64](3219604056681277400),
		// 					to.Ptr[int64](-360410933364310600),
		// 					to.Ptr[int64](6171467644166225000),
		// 					to.Ptr[int64](3548728559597612500),
		// 					to.Ptr[int64](-4753875211349607000),
		// 					to.Ptr[int64](-8711548294430095000)},
		// 					InitialRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					LastRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					RecommendationReason: to.Ptr("Table \"nation\" in schema \"public\" is unanalyzed and appears in the following queries: 2071439792137543669, 7860150533486301820, 6411979446509505239, 3219604056681277471, -360410933364310591, 6171467644166224729, 3548728559597612316, -4753875211349607298, -8711548294430094920"),
		// 					RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeEnum("Analyze")),
		// 					TimesRecommended: to.Ptr[int32](1),
		// 					Details: &armpostgresqlflexibleservers.ObjectRecommendationDetails{
		// 						Schema: to.Ptr("public"),
		// 						DatabaseName: to.Ptr("postgres"),
		// 						Table: to.Ptr("nation"),
		// 					},
		// 				},
		// 			},
		// 			{
		// 				Name: to.Ptr("Analyze_postgres_public_region"),
		// 				Type: to.Ptr("Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/table"),
		// 				ID: to.Ptr("/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations/2"),
		// 				Kind: to.Ptr(""),
		// 				Properties: &armpostgresqlflexibleservers.ObjectRecommendationProperties{
		// 					AnalyzedWorkload: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesAnalyzedWorkload{
		// 						EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 						QueryCount: to.Ptr[int32](22),
		// 						StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T19:30:22.123Z"); return t}()),
		// 					},
		// 					EstimatedImpact: []*armpostgresqlflexibleservers.ImpactRecord{
		// 					},
		// 					ImplementationDetails: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesImplementationDetails{
		// 						Method: to.Ptr("SQL"),
		// 						Script: to.Ptr("analyze table public.region"),
		// 					},
		// 					ImprovedQueryIDs: []*int64{
		// 						to.Ptr[int64](3219604056681277400),
		// 						to.Ptr[int64](6171467644166225000),
		// 						to.Ptr[int64](-4753875211349607000)},
		// 						InitialRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 						LastRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 						RecommendationReason: to.Ptr("Table \"region\" in schema \"public\" is unanalyzed and appears in the following queries: 3219604056681277471, 6171467644166224729, -4753875211349607298"),
		// 						RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeEnum("Analyze")),
		// 						TimesRecommended: to.Ptr[int32](1),
		// 						Details: &armpostgresqlflexibleservers.ObjectRecommendationDetails{
		// 							Schema: to.Ptr("public"),
		// 							DatabaseName: to.Ptr("postgres"),
		// 							Table: to.Ptr("region"),
		// 						},
		// 					},
		// 			}},
		// 		}
	}
}

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

const { PostgreSQLManagementFlexibleServerClient } = require("@azure/arm-postgresql-flexible");
const { DefaultAzureCredential } = require("@azure/identity");
require("dotenv/config");

/**
 * This sample demonstrates how to Lists available object recommendations.
 *
 * @summary Lists available object recommendations.
 * x-ms-original-file: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListTableRecommendationsFilteredForAnalyzeTable.json
 */
async function listAvailableTableRecommendationsFilteredToExclusivelyGetThoseOfAnalyzeTableType() {
  const subscriptionId =
    process.env["POSTGRESQL_SUBSCRIPTION_ID"] || "ffffffff-ffff-ffff-ffff-ffffffffffff";
  const resourceGroupName = process.env["POSTGRESQL_RESOURCE_GROUP"] || "exampleresourcegroup";
  const serverName = "exampleserver";
  const tuningOption = "table";
  const recommendationType = "AnalyzeTable";
  const options = {
    recommendationType,
  };
  const credential = new DefaultAzureCredential();
  const client = new PostgreSQLManagementFlexibleServerClient(credential, subscriptionId);
  const resArray = new Array();
  for await (const item of client.tuningOptionsOperations.listRecommendations(
    resourceGroupName,
    serverName,
    tuningOption,
    options,
  )) {
    resArray.push(item);
  }
  console.log(resArray);
}

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

using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.PostgreSql.FlexibleServers.Models;
using Azure.ResourceManager.PostgreSql.FlexibleServers;

// Generated from example definition: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListTableRecommendationsFilteredForAnalyzeTable.json
// this example is just showing the usage of "TuningOptions_ListRecommendations" 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://dotnet.territoriali.olinfo.it/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 PostgreSqlFlexibleServerTuningOptionResource created on azure
// for more information of creating PostgreSqlFlexibleServerTuningOptionResource, please refer to the document of PostgreSqlFlexibleServerTuningOptionResource
string subscriptionId = "ffffffff-ffff-ffff-ffff-ffffffffffff";
string resourceGroupName = "exampleresourcegroup";
string serverName = "exampleserver";
PostgreSqlFlexibleServerTuningOptionType tuningOption = PostgreSqlFlexibleServerTuningOptionType.Table;
ResourceIdentifier postgreSqlFlexibleServerTuningOptionResourceId = PostgreSqlFlexibleServerTuningOptionResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, serverName, tuningOption);
PostgreSqlFlexibleServerTuningOptionResource postgreSqlFlexibleServerTuningOption = client.GetPostgreSqlFlexibleServerTuningOptionResource(postgreSqlFlexibleServerTuningOptionResourceId);

// invoke the operation and iterate over the result
PostgreSqlFlexibleServerRecommendationFilterType? recommendationType = PostgreSqlFlexibleServerRecommendationFilterType.AnalyzeTable;
await foreach (ObjectRecommendation item in postgreSqlFlexibleServerTuningOption.GetRecommendationsAsync(recommendationType: recommendationType))
{
    Console.WriteLine($"Succeeded: {item}");
}

Console.WriteLine("Succeeded");

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

Beispiel für eine Antwort

Statuscode:: 200

{
  "value": [
    {
      "name": "Analyze_postgres_public_nation",
      "type": "Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/table",
      "id": "/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations/1",
      "kind": "",
      "properties": {
        "analyzedWorkload": {
          "endTime": "2025-06-01T20:30:22.123456Z",
          "queryCount": 22,
          "startTime": "2025-06-01T19:30:22.123456Z"
        },
        "estimatedImpact": [],
        "implementationDetails": {
          "method": "SQL",
          "script": "analyze table public.nation"
        },
        "improvedQueryIds": [
          2071439792137543700,
          7860150533486302000,
          6411979446509506000,
          3219604056681277400,
          -360410933364310600,
          6171467644166225000,
          3548728559597612500,
          -4753875211349607000,
          -8711548294430095000
        ],
        "initialRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "lastRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "recommendationReason": "Table \"nation\" in schema \"public\" is unanalyzed and appears in the following queries: 2071439792137543669, 7860150533486301820, 6411979446509505239, 3219604056681277471, -360410933364310591, 6171467644166224729, 3548728559597612316, -4753875211349607298, -8711548294430094920",
        "recommendationType": "Analyze",
        "timesRecommended": 1,
        "details": {
          "schema": "public",
          "databaseName": "postgres",
          "table": "nation"
        }
      }
    },
    {
      "name": "Analyze_postgres_public_region",
      "type": "Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/table",
      "id": "/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations/2",
      "kind": "",
      "properties": {
        "analyzedWorkload": {
          "endTime": "2025-06-01T20:30:22.123456Z",
          "queryCount": 22,
          "startTime": "2025-06-01T19:30:22.123456Z"
        },
        "estimatedImpact": [],
        "implementationDetails": {
          "method": "SQL",
          "script": "analyze table public.region"
        },
        "improvedQueryIds": [
          3219604056681277400,
          6171467644166225000,
          -4753875211349607000
        ],
        "initialRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "lastRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "recommendationReason": "Table \"region\" in schema \"public\" is unanalyzed and appears in the following queries: 3219604056681277471, 6171467644166224729, -4753875211349607298",
        "recommendationType": "Analyze",
        "timesRecommended": 1,
        "details": {
          "schema": "public",
          "databaseName": "postgres",
          "table": "region"
        }
      }
    }
  ]
}

List available table recommendations.

Beispielanforderung

GET https://management.azure.com/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations?api-version=2025-08-01


import com.azure.resourcemanager.postgresqlflexibleserver.models.TuningOptionParameterEnum;

/**
 * Samples for TuningOptionsOperation ListRecommendations.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/
     * TuningOptionsListTableRecommendations.json
     */
    /**
     * Sample code: List available table recommendations.
     * 
     * @param manager Entry point to PostgreSqlManager.
     */
    public static void listAvailableTableRecommendations(
        com.azure.resourcemanager.postgresqlflexibleserver.PostgreSqlManager manager) {
        manager.tuningOptionsOperations().listRecommendations("exampleresourcegroup", "exampleserver",
            TuningOptionParameterEnum.TABLE, null, com.azure.core.util.Context.NONE);
    }
}

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.postgresqlflexibleservers import PostgreSQLManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-postgresqlflexibleservers
# USAGE
    python tuning_options_list_table_recommendations.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 = PostgreSQLManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="ffffffff-ffff-ffff-ffff-ffffffffffff",
    )

    response = client.tuning_options.list_recommendations(
        resource_group_name="exampleresourcegroup",
        server_name="exampleserver",
        tuning_option="table",
    )
    for item in response:
        print(item)


# x-ms-original-file: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListTableRecommendations.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 armpostgresqlflexibleservers_test

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
	"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/postgresql/armpostgresqlflexibleservers/v5"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/e96c24570a484cff13d153fb472f812878866a39/specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListTableRecommendations.json
func ExampleTuningOptionsClient_NewListRecommendationsPager_listAvailableTableRecommendations() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armpostgresqlflexibleservers.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	pager := clientFactory.NewTuningOptionsClient().NewListRecommendationsPager("exampleresourcegroup", "exampleserver", armpostgresqlflexibleservers.TuningOptionParameterEnumTable, &armpostgresqlflexibleservers.TuningOptionsClientListRecommendationsOptions{RecommendationType: nil})
	for pager.More() {
		page, err := pager.NextPage(ctx)
		if err != nil {
			log.Fatalf("failed to advance page: %v", err)
		}
		for _, v := range page.Value {
			// You could use page here. We use blank identifier for just demo purposes.
			_ = v
		}
		// If the HTTP response code is 200 as defined in example definition, your page structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
		// page.ObjectRecommendationList = armpostgresqlflexibleservers.ObjectRecommendationList{
		// 	Value: []*armpostgresqlflexibleservers.ObjectRecommendation{
		// 		{
		// 			Name: to.Ptr("Analyze_postgres_public_nation"),
		// 			Type: to.Ptr("Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/table"),
		// 			ID: to.Ptr("/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations/1"),
		// 			Kind: to.Ptr(""),
		// 			Properties: &armpostgresqlflexibleservers.ObjectRecommendationProperties{
		// 				AnalyzedWorkload: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesAnalyzedWorkload{
		// 					EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					QueryCount: to.Ptr[int32](22),
		// 					StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T19:30:22.123Z"); return t}()),
		// 				},
		// 				EstimatedImpact: []*armpostgresqlflexibleservers.ImpactRecord{
		// 				},
		// 				ImplementationDetails: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesImplementationDetails{
		// 					Method: to.Ptr("SQL"),
		// 					Script: to.Ptr("analyze table public.nation"),
		// 				},
		// 				ImprovedQueryIDs: []*int64{
		// 					to.Ptr[int64](2071439792137543700),
		// 					to.Ptr[int64](7860150533486302000),
		// 					to.Ptr[int64](6411979446509506000),
		// 					to.Ptr[int64](3219604056681277400),
		// 					to.Ptr[int64](-360410933364310600),
		// 					to.Ptr[int64](6171467644166225000),
		// 					to.Ptr[int64](3548728559597612500),
		// 					to.Ptr[int64](-4753875211349607000),
		// 					to.Ptr[int64](-8711548294430095000)},
		// 					InitialRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					LastRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 					RecommendationReason: to.Ptr("Table \"nation\" in schema \"public\" is unanalyzed and appears in the following queries: 2071439792137543669, 7860150533486301820, 6411979446509505239, 3219604056681277471, -360410933364310591, 6171467644166224729, 3548728559597612316, -4753875211349607298, -8711548294430094920"),
		// 					RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeEnum("Analyze")),
		// 					TimesRecommended: to.Ptr[int32](1),
		// 					Details: &armpostgresqlflexibleservers.ObjectRecommendationDetails{
		// 						Schema: to.Ptr("public"),
		// 						DatabaseName: to.Ptr("postgres"),
		// 						Table: to.Ptr("nation"),
		// 					},
		// 				},
		// 			},
		// 			{
		// 				Name: to.Ptr("Analyze_postgres_public_region"),
		// 				Type: to.Ptr("Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/table"),
		// 				ID: to.Ptr("/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations/2"),
		// 				Kind: to.Ptr(""),
		// 				Properties: &armpostgresqlflexibleservers.ObjectRecommendationProperties{
		// 					AnalyzedWorkload: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesAnalyzedWorkload{
		// 						EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 						QueryCount: to.Ptr[int32](22),
		// 						StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T19:30:22.123Z"); return t}()),
		// 					},
		// 					EstimatedImpact: []*armpostgresqlflexibleservers.ImpactRecord{
		// 					},
		// 					ImplementationDetails: &armpostgresqlflexibleservers.ObjectRecommendationPropertiesImplementationDetails{
		// 						Method: to.Ptr("SQL"),
		// 						Script: to.Ptr("analyze table public.region"),
		// 					},
		// 					ImprovedQueryIDs: []*int64{
		// 						to.Ptr[int64](3219604056681277400),
		// 						to.Ptr[int64](6171467644166225000),
		// 						to.Ptr[int64](-4753875211349607000)},
		// 						InitialRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 						LastRecommendedTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2025-06-01T20:30:22.123Z"); return t}()),
		// 						RecommendationReason: to.Ptr("Table \"region\" in schema \"public\" is unanalyzed and appears in the following queries: 3219604056681277471, 6171467644166224729, -4753875211349607298"),
		// 						RecommendationType: to.Ptr(armpostgresqlflexibleservers.RecommendationTypeEnum("Analyze")),
		// 						TimesRecommended: to.Ptr[int32](1),
		// 						Details: &armpostgresqlflexibleservers.ObjectRecommendationDetails{
		// 							Schema: to.Ptr("public"),
		// 							DatabaseName: to.Ptr("postgres"),
		// 							Table: to.Ptr("region"),
		// 						},
		// 					},
		// 			}},
		// 		}
	}
}

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

const { PostgreSQLManagementFlexibleServerClient } = require("@azure/arm-postgresql-flexible");
const { DefaultAzureCredential } = require("@azure/identity");
require("dotenv/config");

/**
 * This sample demonstrates how to Lists available object recommendations.
 *
 * @summary Lists available object recommendations.
 * x-ms-original-file: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListTableRecommendations.json
 */
async function listAvailableTableRecommendations() {
  const subscriptionId =
    process.env["POSTGRESQL_SUBSCRIPTION_ID"] || "ffffffff-ffff-ffff-ffff-ffffffffffff";
  const resourceGroupName = process.env["POSTGRESQL_RESOURCE_GROUP"] || "exampleresourcegroup";
  const serverName = "exampleserver";
  const tuningOption = "table";
  const credential = new DefaultAzureCredential();
  const client = new PostgreSQLManagementFlexibleServerClient(credential, subscriptionId);
  const resArray = new Array();
  for await (const item of client.tuningOptionsOperations.listRecommendations(
    resourceGroupName,
    serverName,
    tuningOption,
  )) {
    resArray.push(item);
  }
  console.log(resArray);
}

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

using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.PostgreSql.FlexibleServers.Models;
using Azure.ResourceManager.PostgreSql.FlexibleServers;

// Generated from example definition: specification/postgresql/resource-manager/Microsoft.DBforPostgreSQL/stable/2025-08-01/examples/TuningOptionsListTableRecommendations.json
// this example is just showing the usage of "TuningOptions_ListRecommendations" 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://dotnet.territoriali.olinfo.it/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 PostgreSqlFlexibleServerTuningOptionResource created on azure
// for more information of creating PostgreSqlFlexibleServerTuningOptionResource, please refer to the document of PostgreSqlFlexibleServerTuningOptionResource
string subscriptionId = "ffffffff-ffff-ffff-ffff-ffffffffffff";
string resourceGroupName = "exampleresourcegroup";
string serverName = "exampleserver";
PostgreSqlFlexibleServerTuningOptionType tuningOption = PostgreSqlFlexibleServerTuningOptionType.Table;
ResourceIdentifier postgreSqlFlexibleServerTuningOptionResourceId = PostgreSqlFlexibleServerTuningOptionResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, serverName, tuningOption);
PostgreSqlFlexibleServerTuningOptionResource postgreSqlFlexibleServerTuningOption = client.GetPostgreSqlFlexibleServerTuningOptionResource(postgreSqlFlexibleServerTuningOptionResourceId);

// invoke the operation and iterate over the result
await foreach (ObjectRecommendation item in postgreSqlFlexibleServerTuningOption.GetRecommendationsAsync())
{
    Console.WriteLine($"Succeeded: {item}");
}

Console.WriteLine("Succeeded");

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

Beispiel für eine Antwort

Statuscode:: 200

{
  "value": [
    {
      "name": "Analyze_postgres_public_nation",
      "type": "Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/table",
      "id": "/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations/1",
      "kind": "",
      "properties": {
        "analyzedWorkload": {
          "endTime": "2025-06-01T20:30:22.123456Z",
          "queryCount": 22,
          "startTime": "2025-06-01T19:30:22.123456Z"
        },
        "estimatedImpact": [],
        "implementationDetails": {
          "method": "SQL",
          "script": "analyze table public.nation"
        },
        "improvedQueryIds": [
          2071439792137543700,
          7860150533486302000,
          6411979446509506000,
          3219604056681277400,
          -360410933364310600,
          6171467644166225000,
          3548728559597612500,
          -4753875211349607000,
          -8711548294430095000
        ],
        "initialRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "lastRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "recommendationReason": "Table \"nation\" in schema \"public\" is unanalyzed and appears in the following queries: 2071439792137543669, 7860150533486301820, 6411979446509505239, 3219604056681277471, -360410933364310591, 6171467644166224729, 3548728559597612316, -4753875211349607298, -8711548294430094920",
        "recommendationType": "Analyze",
        "timesRecommended": 1,
        "details": {
          "schema": "public",
          "databaseName": "postgres",
          "table": "nation"
        }
      }
    },
    {
      "name": "Analyze_postgres_public_region",
      "type": "Microsoft.DBforPostgreSQL/flexibleServers/tuningOptions/table",
      "id": "/subscriptions/ffffffff-ffff-ffff-ffff-ffffffffffff/resourceGroups/exampleresourcegroup/providers/Microsoft.DBforPostgreSQL/flexibleServers/exampleserver/tuningOptions/table/recommendations/2",
      "kind": "",
      "properties": {
        "analyzedWorkload": {
          "endTime": "2025-06-01T20:30:22.123456Z",
          "queryCount": 22,
          "startTime": "2025-06-01T19:30:22.123456Z"
        },
        "estimatedImpact": [],
        "implementationDetails": {
          "method": "SQL",
          "script": "analyze table public.region"
        },
        "improvedQueryIds": [
          3219604056681277400,
          6171467644166225000,
          -4753875211349607000
        ],
        "initialRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "lastRecommendedTime": "2025-06-01T20:30:22.123456Z",
        "recommendationReason": "Table \"region\" in schema \"public\" is unanalyzed and appears in the following queries: 3219604056681277471, 6171467644166224729, -4753875211349607298",
        "recommendationType": "Analyze",
        "timesRecommended": 1,
        "details": {
          "schema": "public",
          "databaseName": "postgres",
          "table": "region"
        }
      }
    }
  ]
}

Definitionen

Name	Beschreibung
createdByType	Der Identitätstyp, der die Ressource erstellt hat.
ErrorAdditionalInfo	Der Ressourcenverwaltungsfehler zusätzliche Informationen.
ErrorDetail	Das Fehlerdetails.
ErrorResponse	Fehlerantwort
ImpactRecord	Auswirkungen auf eine Metrik, wenn diese empfohlene Maßnahme angewendet wird.
ObjectRecommendation	Eigenschaften von Objektempfehlungen.
ObjectRecommendationDetails	Empfehlungsdetails für die empfohlene Maßnahme.
ObjectRecommendationList	Liste der verfügbaren Objektempfehlungen.
ObjectRecommendationPropertiesAnalyzedWorkload	Informationen zur Arbeitsauslastung für die empfohlene Maßnahme.
ObjectRecommendationPropertiesImplementationDetails	Details zur Implementierung der empfohlenen Maßnahme.
RecommendationTypeEnum	Geben Sie für diese Empfehlung ein.
RecommendationTypeParameterEnum	Filter für die Empfehlungsliste. Ruft Empfehlungen basierend auf dem Typ ab.
systemData	Metadaten zur Erstellung und letzten Änderung der Ressource.
TuningOptionParameterEnum	Der Name der Optimierungsoption.

createdByType

Enumeration

Der Identitätstyp, der die Ressource erstellt hat.

Wert	Beschreibung
User
Application
ManagedIdentity
Key

ErrorAdditionalInfo

Objekt

Der Ressourcenverwaltungsfehler zusätzliche Informationen.

Name	Typ	Beschreibung
info	object	Die zusätzlichen Informationen.
type	string	Der zusätzliche Informationstyp.

ErrorDetail

Objekt

Das Fehlerdetails.

Name	Typ	Beschreibung
additionalInfo	ErrorAdditionalInfo[]	Die zusätzlichen Informationen des Fehlers.
code	string	Der Fehlercode.
details	ErrorDetail[]	Die Fehlerdetails.
message	string	Die Fehlermeldung.
target	string	Das Fehlerziel.

ErrorResponse

Objekt

Fehlerantwort

Name	Typ	Beschreibung
error	ErrorDetail	Das Fehlerobjekt.

ImpactRecord

Objekt

Auswirkungen auf eine Metrik, wenn diese empfohlene Maßnahme angewendet wird.

Name	Typ	Beschreibung
absoluteValue	number (double)	Absolutwert.
dimensionName	string	Name der Dimension.
queryId	integer (int64)	Optionale Eigenschaft, die zum Speichern des Bezeichners der Abfrage verwendet werden kann, wenn die Metrik für eine bestimmte Abfrage gilt.
unit	string	Maßeinheit.

ObjectRecommendation

Objekt

Eigenschaften von Objektempfehlungen.

Name	Typ	Beschreibung
id	string (arm-id)	Vollqualifizierte Ressourcen-ID für die Ressource. Z. B. "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}"
kind	string	Immer leer.
name	string	Der Name der Ressource
properties.analyzedWorkload	ObjectRecommendationPropertiesAnalyzedWorkload	Informationen zur Arbeitsauslastung für die empfohlene Maßnahme.
properties.currentState	string	Aktueller Status.
properties.details	ObjectRecommendationDetails	Empfehlungsdetails für die empfohlene Maßnahme.
properties.estimatedImpact	ImpactRecord[]	Geschätzte Auswirkungen dieser empfohlenen Maßnahme.
properties.implementationDetails	ObjectRecommendationPropertiesImplementationDetails	Details zur Implementierung der empfohlenen Maßnahme.
properties.improvedQueryIds	integer[] (int64)	Liste der Bezeichner für alle Abfragen, die als verbesserungswürdige Ziele identifiziert wurden, wenn die Empfehlung angewendet wird. Die Liste wird nur für CREATE INDEX-Empfehlungen aufgefüllt.
properties.initialRecommendedTime	string (date-time)	Erstellungszeit (UTC) dieser Empfehlung.
properties.lastRecommendedTime	string (date-time)	Das letzte Mal (UTC), dass diese Empfehlung erstellt wurde.
properties.recommendationReason	string	Grund für diese Empfehlung.
properties.recommendationType	RecommendationTypeEnum	Geben Sie für diese Empfehlung ein.
properties.timesRecommended	integer (int32)	Anzahl der Fälle, die diese Empfehlung erstellt wurde.
systemData	systemData	Azure Resource Manager-Metadaten, die createdBy und modifiedBy-Informationen enthalten.
type	string	Der Typ der Ressource. Zum Beispiel "Microsoft. Compute/virtualMachines" oder "Microsoft. Speicher/Speicherkonten"

ObjectRecommendationDetails

Objekt

Empfehlungsdetails für die empfohlene Maßnahme.

Name	Typ	Beschreibung
databaseName	string	Datenbankname.
includedColumns	string[]	Enthaltene Spalten im Index.
indexColumns	string[]	Index-Spalten.
indexName	string	Indexname.
indexType	string	Index-Typ.
schema	string	Schemaname.
table	string	Tabellenname.

ObjectRecommendationList

Objekt

Liste der verfügbaren Objektempfehlungen.

Name	Typ	Beschreibung
nextLink	string (uri)	Der Link zur nächsten Seite von Elementen
value	ObjectRecommendation[]	Die ObjectRecommendation-Artikel auf dieser Seite

ObjectRecommendationPropertiesAnalyzedWorkload

Objekt

Informationen zur Arbeitsauslastung für die empfohlene Maßnahme.

Name	Typ	Beschreibung
endTime	string (date-time)	Endzeit (UTC) der analysierten Arbeitslast.
queryCount	integer (int32)	Anzahl der Abfragen aus der Workload, die untersucht wurden, um diese Empfehlung zu erstellen. Für DROP INDEX-Empfehlungen ist es 0 (Null).
startTime	string (date-time)	Startzeit (UTC) der analysierten Arbeitslast.

ObjectRecommendationPropertiesImplementationDetails

Objekt

Details zur Implementierung der empfohlenen Maßnahme.

Name	Typ	Beschreibung
method	string	Methode der Umsetzung für Handlungsempfehlungen.
script	string	Implementierungsskript für die empfohlene Maßnahme.

RecommendationTypeEnum

Enumeration

Geben Sie für diese Empfehlung ein.

Wert	Beschreibung
CreateIndex	Empfehlung, einen Index zu erstellen, um die Abfrageleistung zu verbessern.
DropIndex	Empfehlung, einen bestehenden Index wegzulassen, weil er doppelt oder ungenutzt ist.
ReIndex	Empfehlung, einen bestehenden ungültigen Index neu zu indexieren.
AnalyzeTable	Empfehlung, eine Tabelle zu analysieren, um die Statistiken für den Abfrageoptimierer zu aktualisieren.

RecommendationTypeParameterEnum

Enumeration

Filter für die Empfehlungsliste. Ruft Empfehlungen basierend auf dem Typ ab.

Wert	Beschreibung
CreateIndex	Empfehlung, einen Index zu erstellen, um die Abfrageleistung zu verbessern.
DropIndex	Empfehlung, einen bestehenden Index wegzulassen, weil er doppelt oder ungenutzt ist.
ReIndex	Empfehlung, einen bestehenden ungültigen Index neu zu indexieren.
AnalyzeTable	Empfehlung, eine Tabelle zu analysieren, um die Statistiken für den Abfrageoptimierer zu aktualisieren.

systemData

Objekt

Metadaten zur Erstellung und letzten Änderung der Ressource.

Name	Typ	Beschreibung
createdAt	string (date-time)	Der Zeitstempel der Ressourcenerstellung (UTC).
createdBy	string	Die Identität, die die Ressource erstellt hat.
createdByType	createdByType	Der Identitätstyp, der die Ressource erstellt hat.
lastModifiedAt	string (date-time)	Der Zeitstempel der letzten Änderung der Ressource (UTC)
lastModifiedBy	string	Die Identität, die die Ressource zuletzt geändert hat.
lastModifiedByType	createdByType	Der Identitätstyp, der die Ressource zuletzt geändert hat.

TuningOptionParameterEnum

Enumeration

Der Name der Optimierungsoption.

Wert	Beschreibung
index	Empfehlungen zum Index.
table	Tabellenbezogene Empfehlungen.