使用 Azure Resource Manager 範本管理 Azure Cosmos DB for MongoDB 資源
適用於: MongoDB
在本文中,您會了解如何使用 Azure Resource Manager 範本來部署和管理 API for MongoDB、資料庫和集合的 Azure Cosmos DB 帳戶。
本文僅提供適用於 MongoDB 的 Azure Cosmos DB API 範例,若要尋找其他 API 類型帳戶的範例,請參閱:搭配使用 Azure Resource Manager 範本與適用於 Cassandra、Gremlin、SQL、資料表的 Azure Cosmos DB API 文章。
重要
- 帳戶名稱限制為 44 個字元,全部小寫。
- 若要變更輸送量值,請使用已更新的 RU/秒重新部署範本。
- 您在新增或移除 Azure Cosmos DB 帳戶的位置時,無法同時修改其他屬性。 這些作業必須個別執行。
若要建立下列任何 Azure Cosmos DB 資源,請將下列範例範本複製到新的 JSON 檔案中。 當您使用不同的名稱和值來部署相同資源的多個執行個體時,可以選擇建立參數 JSON 檔案以供使用。 部署 Azure Resource Manager 範本的方式有很多種,包括 Azure 入口網站、Azure CLI、Azure PowerShell 和 GitHub。
適用於 MongoDB 的 Azure Cosmos DB 帳戶,具有自動擴縮佈建的輸送量
此範本會建立適用於 API for MongoDB (3.2、3.6、4.0 和 4.2) 的 Azure Cosmos DB 帳戶,其中含有兩個在資料庫層級共用自動調整輸送量的集合。 此範本也適用於從 Azure 快速入門範本資源庫執行的單鍵式部署。
{
"$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"metadata": {
"_generator": {
"name": "bicep",
"version": "0.6.18.56646",
"templateHash": "3095519724929260960"
}
},
"parameters": {
"accountName": {
"type": "string",
"defaultValue": "[toLower(format('mongodb-{0}', uniqueString(resourceGroup().id)))]",
"metadata": {
"description": "Cosmos DB account name"
}
},
"location": {
"type": "string",
"defaultValue": "[resourceGroup().location]",
"metadata": {
"description": "Location for the Cosmos DB account."
}
},
"primaryRegion": {
"type": "string",
"metadata": {
"description": "The primary replica region for the Cosmos DB account."
}
},
"secondaryRegion": {
"type": "string",
"metadata": {
"description": "The secondary replica region for the Cosmos DB account."
}
},
"serverVersion": {
"type": "string",
"defaultValue": "4.2",
"allowedValues": [
"3.2",
"3.6",
"4.0",
"4.2"
],
"metadata": {
"description": "Specifies the MongoDB server version to use."
}
},
"defaultConsistencyLevel": {
"type": "string",
"defaultValue": "Session",
"allowedValues": [
"Eventual",
"ConsistentPrefix",
"Session",
"BoundedStaleness",
"Strong"
],
"metadata": {
"description": "The default consistency level of the Cosmos DB account."
}
},
"maxStalenessPrefix": {
"type": "int",
"defaultValue": 100000,
"maxValue": 2147483647,
"minValue": 10,
"metadata": {
"description": "Max stale requests. Required for BoundedStaleness. Valid ranges, Single Region: 10 to 1000000. Multi Region: 100000 to 1000000."
}
},
"maxIntervalInSeconds": {
"type": "int",
"defaultValue": 300,
"maxValue": 86400,
"minValue": 5,
"metadata": {
"description": "Max lag time (seconds). Required for BoundedStaleness. Valid ranges, Single Region: 5 to 84600. Multi Region: 300 to 86400."
}
},
"databaseName": {
"type": "string",
"metadata": {
"description": "The name for the Mongo DB database"
}
},
"collection1Name": {
"type": "string",
"metadata": {
"description": "The name for the first Mongo DB collection"
}
},
"collection2Name": {
"type": "string",
"metadata": {
"description": "The name for the second Mongo DB collection"
}
},
"autoscaleMaxThroughput": {
"type": "int",
"defaultValue": 1000,
"maxValue": 1000000,
"minValue": 1000,
"metadata": {
"description": "Maximum throughput when using Autoscale Throughput Policy for the Database"
}
}
},
"variables": {
"consistencyPolicy": {
"Eventual": {
"defaultConsistencyLevel": "Eventual"
},
"ConsistentPrefix": {
"defaultConsistencyLevel": "ConsistentPrefix"
},
"Session": {
"defaultConsistencyLevel": "Session"
},
"BoundedStaleness": {
"defaultConsistencyLevel": "BoundedStaleness",
"maxStalenessPrefix": "[parameters('maxStalenessPrefix')]",
"maxIntervalInSeconds": "[parameters('maxIntervalInSeconds')]"
},
"Strong": {
"defaultConsistencyLevel": "Strong"
}
},
"locations": [
{
"locationName": "[parameters('primaryRegion')]",
"failoverPriority": 0,
"isZoneRedundant": false
},
{
"locationName": "[parameters('secondaryRegion')]",
"failoverPriority": 1,
"isZoneRedundant": false
}
]
},
"resources": [
{
"type": "Microsoft.DocumentDB/databaseAccounts",
"apiVersion": "2021-10-15",
"name": "[parameters('accountName')]",
"location": "[parameters('location')]",
"kind": "MongoDB",
"properties": {
"consistencyPolicy": "[variables('consistencyPolicy')[parameters('defaultConsistencyLevel')]]",
"locations": "[variables('locations')]",
"databaseAccountOfferType": "Standard",
"apiProperties": {
"serverVersion": "[parameters('serverVersion')]"
}
}
},
{
"type": "Microsoft.DocumentDB/databaseAccounts/mongodbDatabases",
"apiVersion": "2021-10-15",
"name": "[format('{0}/{1}', parameters('accountName'), parameters('databaseName'))]",
"properties": {
"resource": {
"id": "[parameters('databaseName')]"
},
"options": {
"autoscaleSettings": {
"maxThroughput": "[parameters('autoscaleMaxThroughput')]"
}
}
},
"dependsOn": [
"[resourceId('Microsoft.DocumentDB/databaseAccounts', parameters('accountName'))]"
]
},
{
"type": "Microsoft.DocumentDB/databaseAccounts/mongodbDatabases/collections",
"apiVersion": "2021-10-15",
"name": "[format('{0}/{1}/{2}', parameters('accountName'), parameters('databaseName'), parameters('collection1Name'))]",
"properties": {
"resource": {
"id": "[parameters('collection1Name')]",
"shardKey": {
"user_id": "Hash"
},
"indexes": [
{
"key": {
"keys": [
"_id"
]
}
},
{
"key": {
"keys": [
"$**"
]
}
},
{
"key": {
"keys": [
"user_id",
"user_address"
]
},
"options": {
"unique": true
}
},
{
"key": {
"keys": [
"_ts"
],
"options": {
"expireAfterSeconds": 2629746
}
}
}
],
"options": {
"If-Match": "<ETag>"
}
}
},
"dependsOn": [
"[resourceId('Microsoft.DocumentDB/databaseAccounts/mongodbDatabases', parameters('accountName'), parameters('databaseName'))]"
]
},
{
"type": "Microsoft.DocumentDB/databaseAccounts/mongodbDatabases/collections",
"apiVersion": "2021-10-15",
"name": "[format('{0}/{1}/{2}', parameters('accountName'), parameters('databaseName'), parameters('collection2Name'))]",
"properties": {
"resource": {
"id": "[parameters('collection2Name')]",
"shardKey": {
"company_id": "Hash"
},
"indexes": [
{
"key": {
"keys": [
"_id"
]
}
},
{
"key": {
"keys": [
"$**"
]
}
},
{
"key": {
"keys": [
"company_id",
"company_address"
]
},
"options": {
"unique": true
}
},
{
"key": {
"keys": [
"_ts"
],
"options": {
"expireAfterSeconds": 2629746
}
}
}
],
"options": {
"If-Match": "<ETag>"
}
}
},
"dependsOn": [
"[resourceId('Microsoft.DocumentDB/databaseAccounts/mongodbDatabases', parameters('accountName'), parameters('databaseName'))]"
]
}
]
}
適用於 MongoDB 的 Azure Cosmos DB 帳戶,具有標準佈建的輸送量
此範本會建立適用於 API for MongoDB (3.2、3.6、4.0 和 4.2) 的 Azure Cosmos DB 帳戶,其中含有兩個在資料庫層級共用 400 RU/s 標準 (手動) 輸送量的集合。 此範本也適用於從 Azure 快速入門範本資源庫執行的單鍵式部署。
{
"$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"metadata": {
"_generator": {
"name": "bicep",
"version": "0.9.1.41621",
"templateHash": "6120132423365709425"
}
},
"parameters": {
"accountName": {
"type": "string",
"defaultValue": "[format('mongodb-{0}', uniqueString(resourceGroup().id))]",
"metadata": {
"description": "Cosmos DB account name"
}
},
"location": {
"type": "string",
"defaultValue": "[resourceGroup().location]",
"metadata": {
"description": "Location for the Cosmos DB account."
}
},
"primaryRegion": {
"type": "string",
"metadata": {
"description": "The primary replica region for the Cosmos DB account."
}
},
"secondaryRegion": {
"type": "string",
"metadata": {
"description": "The secondary replica region for the Cosmos DB account."
}
},
"defaultConsistencyLevel": {
"type": "string",
"defaultValue": "Eventual",
"metadata": {
"description": "The default consistency level of the Cosmos DB account."
},
"allowedValues": [
"Eventual",
"ConsistentPrefix",
"Session",
"BoundedStaleness",
"Strong"
]
},
"serverVersion": {
"type": "string",
"defaultValue": "4.2",
"metadata": {
"description": "Specifies the MongoDB server version to use."
},
"allowedValues": [
"3.2",
"3.6",
"4.0",
"4.2"
]
},
"maxStalenessPrefix": {
"type": "int",
"defaultValue": 100000,
"metadata": {
"description": "Max stale requests. Required for BoundedStaleness. Valid ranges, Single Region: 10 to 2147483647. Multi Region: 100000 to 2147483647."
},
"maxValue": 2147483647,
"minValue": 10
},
"maxIntervalInSeconds": {
"type": "int",
"defaultValue": 300,
"metadata": {
"description": "Max lag time (seconds). Required for BoundedStaleness. Valid ranges, Single Region: 5 to 84600. Multi Region: 300 to 86400."
},
"maxValue": 86400,
"minValue": 5
},
"databaseName": {
"type": "string",
"metadata": {
"description": "The name for the Mongo DB database"
}
},
"sharedThroughput": {
"type": "int",
"defaultValue": 400,
"metadata": {
"description": "The shared throughput for the Mongo DB database, up to 25 collections"
},
"maxValue": 1000000,
"minValue": 400
},
"collection1Name": {
"type": "string",
"metadata": {
"description": "The name for the first Mongo DB collection"
}
},
"collection2Name": {
"type": "string",
"metadata": {
"description": "The name for the second Mongo DB collection"
}
},
"dedicatedThroughput": {
"type": "int",
"defaultValue": 400,
"metadata": {
"description": "The dedicated throughput for the orders collection"
},
"maxValue": 1000000,
"minValue": 400
}
},
"variables": {
"consistencyPolicy": {
"Eventual": {
"defaultConsistencyLevel": "Eventual"
},
"ConsistentPrefix": {
"defaultConsistencyLevel": "ConsistentPrefix"
},
"Session": {
"defaultConsistencyLevel": "Session"
},
"BoundedStaleness": {
"defaultConsistencyLevel": "BoundedStaleness",
"maxStalenessPrefix": "[parameters('maxStalenessPrefix')]",
"maxIntervalInSeconds": "[parameters('maxIntervalInSeconds')]"
},
"Strong": {
"defaultConsistencyLevel": "Strong"
}
},
"locations": [
{
"locationName": "[parameters('primaryRegion')]",
"failoverPriority": 0,
"isZoneRedundant": false
},
{
"locationName": "[parameters('secondaryRegion')]",
"failoverPriority": 1,
"isZoneRedundant": false
}
]
},
"resources": [
{
"type": "Microsoft.DocumentDB/databaseAccounts",
"apiVersion": "2022-05-15",
"name": "[toLower(parameters('accountName'))]",
"location": "[parameters('location')]",
"kind": "MongoDB",
"properties": {
"consistencyPolicy": "[variables('consistencyPolicy')[parameters('defaultConsistencyLevel')]]",
"locations": "[variables('locations')]",
"databaseAccountOfferType": "Standard",
"enableAutomaticFailover": true,
"apiProperties": {
"serverVersion": "[parameters('serverVersion')]"
},
"capabilities": [
{
"name": "DisableRateLimitingResponses"
}
]
}
},
{
"type": "Microsoft.DocumentDB/databaseAccounts/mongodbDatabases",
"apiVersion": "2022-05-15",
"name": "[format('{0}/{1}', toLower(parameters('accountName')), parameters('databaseName'))]",
"properties": {
"resource": {
"id": "[parameters('databaseName')]"
},
"options": {
"throughput": "[parameters('sharedThroughput')]"
}
},
"dependsOn": [
"[resourceId('Microsoft.DocumentDB/databaseAccounts', toLower(parameters('accountName')))]"
]
},
{
"type": "Microsoft.DocumentDB/databaseAccounts/mongodbDatabases/collections",
"apiVersion": "2022-05-15",
"name": "[format('{0}/{1}/{2}', toLower(parameters('accountName')), parameters('databaseName'), parameters('collection1Name'))]",
"properties": {
"resource": {
"id": "[parameters('collection1Name')]",
"shardKey": {
"user_id": "Hash"
},
"indexes": [
{
"key": {
"keys": [
"_id"
]
}
},
{
"key": {
"keys": [
"$**"
]
}
},
{
"key": {
"keys": [
"product_name",
"product_category_name"
]
}
}
]
}
},
"dependsOn": [
"[resourceId('Microsoft.DocumentDB/databaseAccounts/mongodbDatabases', toLower(parameters('accountName')), parameters('databaseName'))]"
]
},
{
"type": "Microsoft.DocumentDB/databaseAccounts/mongodbDatabases/collections",
"apiVersion": "2022-05-15",
"name": "[format('{0}/{1}/{2}', toLower(parameters('accountName')), parameters('databaseName'), parameters('collection2Name'))]",
"properties": {
"resource": {
"id": "[parameters('collection2Name')]",
"shardKey": {
"company_id": "Hash"
},
"indexes": [
{
"key": {
"keys": [
"_id"
]
}
},
{
"key": {
"keys": [
"$**"
]
}
},
{
"key": {
"keys": [
"customer_id",
"order_id"
]
}
}
]
},
"options": {
"throughput": "[parameters('dedicatedThroughput')]"
}
},
"dependsOn": [
"[resourceId('Microsoft.DocumentDB/databaseAccounts/mongodbDatabases', toLower(parameters('accountName')), parameters('databaseName'))]"
]
}
]
}
下一步
以下是一些額外資源:
- Azure Resource Manager 文件
- Azure Cosmos DB 資源提供者結構描述
- Azure Cosmos DB 快速入門範本
- 對常見的 Azure Resource Manager 部署錯誤進行疑難排解
- 正在嘗試為遷移至 Azure Cosmos DB 進行容量規劃嗎? 您可以使用現有資料庫叢集的相關資訊進行容量規劃。
- 如果您知道現有資料庫叢集中的虛擬核心和伺服器數目,請參閱使用虛擬核心或 vCPU 來估計要求單位
- 如果您知道目前資料庫工作負載的一般要求率,請參閱使用 Azure Cosmos DB 容量規劃工具來估計要求單位