Tuning Options - List Recommendations

Service:: PostgreSQL

Version d'API:: 2025-08-01

Répertorie les recommandations d’objets disponibles.

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

Avec des paramètres facultatifs:

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

Paramètres URI

Nom	Dans	Obligatoire	Type	Description
resourceGroupName	path	True	string minLength: 1 maxLength: 90	Nom du groupe de ressources. Le nom ne respecte pas la casse.
serverName	path	True	string minLength: 3 maxLength: 63 pattern: ^[a-zA-Z0-9]+(-[a-zA-Z0-9]+)*	Le nom du serveur
subscriptionId	path	True	string (uuid)	ID de l’abonnement cible. La valeur doit être un UUID.
tuningOption	path	True	TuningOptionParameterEnum	Nom de l’option de réglage.
api-version	query	True	string minLength: 1	Version de l’API à utiliser pour cette opération.
recommendationType	query		RecommendationTypeParameterEnum	Filtre de liste de recommandations. Récupère les recommandations en fonction du type.

Réponses

Nom	Type	Description
200 OK	ObjectRecommendationList	Opération Azure terminée avec succès.
Other Status Codes	ErrorResponse	Réponse d’erreur inattendue.

Sécurité

azure_auth

Azure Active Directory OAuth2 Flow.

Type: oauth2
Flux: implicit
URL d’autorisation: https://login.microsoftonline.com/common/oauth2/authorize

Étendues

Nom	Description
user_impersonation	emprunter l’identité de votre compte d’utilisateur

Exemples

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.

Exemple de requête

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

Exemple de réponse

Code d’état:: 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.

Exemple de requête

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

Exemple de réponse

Code d’état:: 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.

Exemple de requête

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

Exemple de réponse

Code d’état:: 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.

Exemple de requête

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

Exemple de réponse

Code d’état:: 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"
        }
      }
    }
  ]
}

Définitions

Nom	Description
createdByType	Type d’identité qui a créé la ressource.
ErrorAdditionalInfo	Informations supplémentaires sur l’erreur de gestion des ressources.
ErrorDetail	Détail de l’erreur.
ErrorResponse	Réponse d’erreur
ImpactRecord	Impact sur une mesure si cette action recommandée est appliquée.
ObjectRecommendation	Propriétés de recommandation d’objet.
ObjectRecommendationDetails	Détails de la recommandation pour l’action recommandée.
ObjectRecommendationList	Liste des recommandations d’objets disponibles.
ObjectRecommendationPropertiesAnalyzedWorkload	Informations sur la charge de travail pour l’action recommandée.
ObjectRecommendationPropertiesImplementationDetails	Détails de la mise en œuvre de l’action recommandée.
RecommendationTypeEnum	Tapez pour cette recommandation.
RecommendationTypeParameterEnum	Filtre de liste de recommandations. Récupère les recommandations en fonction du type.
systemData	Métadonnées relatives à la création et à la dernière modification de la ressource.
TuningOptionParameterEnum	Nom de l’option de réglage.

createdByType

Énumération

Type d’identité qui a créé la ressource.

Valeur	Description
User
Application
ManagedIdentity
Key

ErrorAdditionalInfo

Objet

Informations supplémentaires sur l’erreur de gestion des ressources.

Nom	Type	Description
info	object	Informations supplémentaires.
type	string	Type d’informations supplémentaire.

ErrorDetail

Objet

Détail de l’erreur.

Nom	Type	Description
additionalInfo	ErrorAdditionalInfo[]	Informations supplémentaires sur l’erreur.
code	string	Code d’erreur.
details	ErrorDetail[]	Détails de l’erreur.
message	string	Message d’erreur.
target	string	Cible d’erreur.

ErrorResponse

Objet

Réponse d’erreur

Nom	Type	Description
error	ErrorDetail	Objet d’erreur.

ImpactRecord

Objet

Impact sur une mesure si cette action recommandée est appliquée.

Nom	Type	Description
absoluteValue	number (double)	Valeur absolue.
dimensionName	string	Nom de la dimension.
queryId	integer (int64)	Propriété facultative qui peut être utilisée pour stocker l’identificateur de la requête, si la métrique concerne une requête spécifique.
unit	string	Unité de dimension.

ObjectRecommendation

Objet

Propriétés de recommandation d’objet.

Nom	Type	Description
id	string (arm-id)	ID de ressource complet pour la ressource. Par exemple, « /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName} »
kind	string	Toujours vide.
name	string	Nom de la ressource
properties.analyzedWorkload	ObjectRecommendationPropertiesAnalyzedWorkload	Informations sur la charge de travail pour l’action recommandée.
properties.currentState	string	État actuel.
properties.details	ObjectRecommendationDetails	Détails de la recommandation pour l’action recommandée.
properties.estimatedImpact	ImpactRecord[]	Estimation de l’impact de cette mesure recommandée.
properties.implementationDetails	ObjectRecommendationPropertiesImplementationDetails	Détails de la mise en œuvre de l’action recommandée.
properties.improvedQueryIds	integer[] (int64)	Liste des identificateurs de toutes les requêtes identifiées comme cibles d’amélioration si la recommandation est appliquée. La liste n’est renseignée que pour les recommandations CREATE INDEX.
properties.initialRecommendedTime	string (date-time)	Heure de création (UTC) de cette recommandation.
properties.lastRecommendedTime	string (date-time)	La dernière fois (UTC) que cette recommandation a été produite.
properties.recommendationReason	string	Raison de cette recommandation.
properties.recommendationType	RecommendationTypeEnum	Tapez pour cette recommandation.
properties.timesRecommended	integer (int32)	Nombre de fois où cette recommandation a été produite.
systemData	systemData	Azure Resource Manager : métadonnées contenant des informations createdBy et modifiedBy.
type	string	Type de la ressource. Par exemple : « Microsoft. Calcul/virtualMachines » ou « Microsoft. StorageAccounts"

ObjectRecommendationDetails

Objet

Détails de la recommandation pour l’action recommandée.

Nom	Type	Description
databaseName	string	Nom de la base de données.
includedColumns	string[]	L’index comprenait des colonnes.
indexColumns	string[]	Colonnes d’index.
indexName	string	Nom de l’index.
indexType	string	Type d’index.
schema	string	Nom du schéma.
table	string	Nom de la table.

ObjectRecommendationList

Objet

Liste des recommandations d’objets disponibles.

Nom	Type	Description
nextLink	string (uri)	Le lien vers la page suivante des éléments
value	ObjectRecommendation[]	Les éléments ObjectRecommendation sur cette page

ObjectRecommendationPropertiesAnalyzedWorkload

Objet

Informations sur la charge de travail pour l’action recommandée.

Nom	Type	Description
endTime	string (date-time)	Heure de fin (UTC) de la charge de travail analysée.
queryCount	integer (int32)	Nombre de requêtes de la charge de travail qui ont été examinées pour produire cette recommandation. Pour les recommandations DROP INDEX, c’est 0 (zéro).
startTime	string (date-time)	Heure de début (UTC) de la charge de travail analysée.

ObjectRecommendationPropertiesImplementationDetails

Objet

Détails de la mise en œuvre de l’action recommandée.

Nom	Type	Description
method	string	Méthode de mise en œuvre des mesures recommandées.
script	string	Script d’implémentation de l’action recommandée.

RecommendationTypeEnum

Énumération

Tapez pour cette recommandation.

Valeur	Description
CreateIndex	Recommandation de créer un index pour améliorer les performances des requêtes.
DropIndex	Il est recommandé de supprimer un index existant car il est en double ou inutilisé.
ReIndex	Recommandation de réindexer un index invalide existant.
AnalyzeTable	Recommandation d’analyser une table pour mettre à jour les statistiques de l’optimiseur de requêtes.

RecommendationTypeParameterEnum

Énumération

Filtre de liste de recommandations. Récupère les recommandations en fonction du type.

Valeur	Description
CreateIndex	Recommandation de créer un index pour améliorer les performances des requêtes.
DropIndex	Il est recommandé de supprimer un index existant car il est en double ou inutilisé.
ReIndex	Recommandation de réindexer un index invalide existant.
AnalyzeTable	Recommandation d’analyser une table pour mettre à jour les statistiques de l’optimiseur de requêtes.

systemData

Objet

Métadonnées relatives à la création et à la dernière modification de la ressource.

Nom	Type	Description
createdAt	string (date-time)	Horodatage de la création de ressources (UTC).
createdBy	string	Identité qui a créé la ressource.
createdByType	createdByType	Type d’identité qui a créé la ressource.
lastModifiedAt	string (date-time)	Horodatage de la dernière modification de ressource (UTC)
lastModifiedBy	string	Identité qui a modifié la ressource pour la dernière fois.
lastModifiedByType	createdByType	Type d’identité qui a modifié la ressource pour la dernière fois.

TuningOptionParameterEnum

Énumération

Nom de l’option de réglage.

Valeur	Description
index	Recommandations liées à l’index.
table	Des recommandations liées à la table.