针对用于 Azure Cosmos DB Gremlin API 的数据库或图形,使用 Azure CLI 实现的吞吐量 (RU/s) 操作Throughput (RU/s) operations with Azure CLI for a database or graph for Azure Cosmos DB - Gremlin API

适用于: Gremlin API

备注

在 Azure China 中使用 Azure CLI 2.0 之前,请首先运行 az cloud set -n AzureChinaCloud 更改云环境。Before you can use Azure CLI 2.0 in Azure China, please run az cloud set -n AzureChinaCloud first to change the cloud environment. 如果要切换回全局 Azure,请再次运行 az cloud set -n AzureCloudIf you want to switch back to Global Azure, run az cloud set -n AzureCloud again.

如果选择在本地安装并使用 CLI,本主题要求运行 Azure CLI 2.12.1 或更高版本。When you choose to install and use the CLI locally, this topic requires that you are running the Azure CLI version 2.12.1 or later. 运行 az --version 即可查找版本。Run az --version to find the version. 如果需要进行安装或升级,请参阅安装 Azure CLIIf you need to install or upgrade, see Install Azure CLI.

示例脚本Sample script

此脚本创建一个具有共享吞吐量的 Gremlin 数据库和一个具有专用吞吐量的 Gremlin 图,然后更新该数据库和该图的吞吐量。This script creates a Gremlin database with shared throughput and a Gremlin graph with dedicated throughput, then updates the throughput for both the database and graph. 脚本随后从标准吞吐量迁移到自动缩放吞吐量,然后在迁移后读取自动缩放吞吐量的值。The script then migrates from standard to autoscale throughput then reads the value of the autoscale throughput after it has been migrated.

#!/bin/bash
# Reference: az cosmosdb | https://docs.azure.cn/cli/cosmosdb
# --------------------------------------------------
#
# Throughput operations for a Gremlin API database and graph
#
#

# Sign in the Azure China Cloud
az cloud set -n AzureChinaCloud
az login

# Generate a unique 10 character alphanumeric string to ensure unique resource names
uniqueId=$(env LC_CTYPE=C tr -dc 'a-z0-9' < /dev/urandom | fold -w 10 | head -n 1)

# Variables for Gremlin API resources
resourceGroupName="Group-$uniqueId"
location='chinanorth2'
accountName="cosmos-$uniqueId" #needs to be lower case
databaseName='database1'
graphName='graph1'
originalThroughput=400
updateThroughput=500

# Create a resource group, Cosmos account, database with throughput and graph with throughput
az group create -n $resourceGroupName -l $location
az cosmosdb create -n $accountName -g $resourceGroupName --capabilities EnableGremlin
az cosmosdb gremlin database create -a $accountName -g $resourceGroupName -n $databaseName --throughput $originalThroughput
az cosmosdb gremlin graph create -a $accountName -g $resourceGroupName -d $databaseName -n $graphName -p '/zipcode' --throughput $originalThroughput

# Throughput operations for Gremlin API database
# Read the current throughput
# Read the minimum throughput
# Make sure the updated throughput is not less than the minimum
# Update the throughput
# Migrate between standard (manual) and autoscale throughput
# Read the autoscale max throughput

read -p 'Press any key to read current provisioned throughput on database'

az cosmosdb gremlin database throughput show \
    -g $resourceGroupName \
    -a $accountName \
    -n $databaseName \
    --query resource.throughput \
    -o tsv

read -p 'Press any key to read minimum throughput on database'

minimumThroughput=$(az cosmosdb gremlin database throughput show \
    -g $resourceGroupName \
    -a $accountName \
    -n $databaseName \
    --query resource.minimumThroughput \
    -o tsv)

echo $minimumThroughput

# Make sure the updated throughput is not less than the minimum allowed throughput
if [ $updateThroughput -lt $minimumThroughput ]; then
    updateThroughput=$minimumThroughput
fi

read -p 'Press any key to update database throughput'

az cosmosdb gremlin database throughput update \
    -a $accountName \
    -g $resourceGroupName \
    -n $databaseName \
    --throughput $updateThroughput

read -p 'Press any key to migrate the database from standard (manual) throughput to autoscale throughput'

az cosmosdb gremlin database throughput migrate \
    -a $accountName \
    -g $resourceGroupName \
    -n $databaseName \
    -t 'autoscale'

read -p 'Press any key to read current autoscale provisioned max throughput on the database'

az cosmosdb gremlin database throughput show \
    -g $resourceGroupName \
    -a $accountName \
    -n $databaseName \
    --query resource.autoscaleSettings.maxThroughput \
    -o tsv

# Throughput operations for Gremlin API graph
# Read the current throughput
# Read the minimum throughput
# Make sure the updated throughput is not less than the minimum
# Update the throughput
# Migrate between standard (manual) and autoscale throughput
# Read the autoscale max throughput

read -p 'Press any key to read current provisioned throughput on a graph'

az cosmosdb gremlin graph throughput show \
    -g $resourceGroupName \
    -a $accountName \
    -d $databaseName \
    -n $graphName \
    --query resource.throughput \
    -o tsv

read -p 'Press any key to read minimum throughput on graph'

minimumThroughput=$(az cosmosdb gremlin graph throughput show \
    -g $resourceGroupName \
    -a $accountName \
    -d $databaseName \
    -n $graphName \
    --query resource.minimumThroughput \
    -o tsv)

echo $minimumThroughput

# Make sure the updated throughput is not less than the minimum allowed throughput
if [ $updateThroughput -lt $minimumThroughput ]; then
    updateThroughput=$minimumThroughput
fi

read -p 'Press any key to update graph throughput'

az cosmosdb gremlin graph throughput update \
    -g $resourceGroupName \
    -a $accountName \
    -d $databaseName \
    -n $graphName \
    --throughput $updateThroughput

read -p 'Press any key to migrate the graph from standard (manual) throughput to autoscale throughput'

az cosmosdb gremlin container throughput migrate \
    -a $accountName \
    -g $resourceGroupName \
    -d $databaseName \
    -n $graphName \
    -t 'autoscale'

read -p 'Press any key to read current autoscale provisioned max throughput on the graph'

az cosmosdb gremlin container throughput show \
    -g $resourceGroupName \
    -a $accountName \
    -d $databaseName \
    -n $graphName \
    --query resource.autoscaleSettings.maxThroughput \
    -o tsv

清理部署Clean up deployment

运行脚本示例后,可以使用以下命令删除资源组以及与其关联的所有资源。After the script sample has been run, the following command can be used to remove the resource group and all resources associated with it.

az group delete --name $resourceGroupName

脚本说明Script explanation

此脚本使用以下命令。This script uses the following commands. 表中的每条命令均链接到特定于命令的文档。Each command in the table links to command specific documentation.

命令Command 说明Notes
az group createaz group create 创建用于存储所有资源的资源组。Creates a resource group in which all resources are stored.
az cosmosdb createaz cosmosdb create 创建 Azure Cosmos DB 帐户。Creates an Azure Cosmos DB account.
az cosmosdb gremlin database createaz cosmosdb gremlin database create 创建 Azure Cosmos Gremlin 数据库。Creates an Azure Cosmos Gremlin database.
az cosmosdb gremlin graph createaz cosmosdb gremlin graph create 创建 Azure Cosmos Gremlin 图。Creates an Azure Cosmos Gremlin graph.
az cosmosdb gremlin database throughput updateaz cosmosdb gremlin database throughput update 更新 Azure Cosmos Gremlin 数据库的 RU/秒。Update RU/s for an Azure Cosmos Gremlin database.
az cosmosdb gremlin graph throughput updateaz cosmosdb gremlin graph throughput update 更新 Azure Cosmos Gremlin 图的 RU/秒。Update RU/s for an Azure Cosmos Gremlin graph.
az cosmosdb gremlin database throughput migrateaz cosmosdb gremlin database throughput migrate 迁移 Azure Cosmos Gremlin 数据库的吞吐量。Migrate throughput for an Azure Cosmos Gremlin database.
az cosmosdb gremlin graph throughput migrateaz cosmosdb gremlin graph throughput migrate 迁移 Azure Cosmos Gremlin 图形的吞吐量。Migrate throughput for an Azure Cosmos Gremlin graph.
az group deleteaz group delete 删除资源组,包括所有嵌套的资源。Deletes a resource group including all nested resources.

后续步骤Next steps

有关 Azure Cosmos DB CLI 的详细信息,请参阅 Azure Cosmos DB CLI 文档For more information on the Azure Cosmos DB CLI, see Azure Cosmos DB CLI documentation.

可以在 Azure Cosmos DB CLI GitHub 存储库中找到所有 Azure Cosmos DB CLI 脚本示例。All Azure Cosmos DB CLI script samples can be found in the Azure Cosmos DB CLI GitHub Repository.