Throughput (RU/s) operations with Azure CLI for a database or graph for Azure Cosmos DB - API for Gremlin
If you don't have an Azure subscription, create an Azure free account before you begin.
The script in this article creates a Gremlin database with shared throughput and a Gremlin graph with dedicated throughput, then updates the throughput for both the database and graph. The script then migrates from standard to autoscale throughput then reads the value of the autoscale throughput after it has been migrated.
Prerequisites
Use the Bash environment in Azure Cloud Shell. For more information, see Quickstart for Bash in Azure Cloud Shell.
If you prefer to run CLI reference commands locally, install the Azure CLI. If you're running on Windows or macOS, consider running Azure CLI in a Docker container. For more information, see How to run the Azure CLI in a Docker container.
If you're using a local installation, sign in to the Azure CLI by using the az login command. To finish the authentication process, follow the steps displayed in your terminal. For other sign-in options, see Sign in with the Azure CLI.
When you're prompted, install the Azure CLI extension on first use. For more information about extensions, see Use extensions with the Azure CLI.
Run az version to find the version and dependent libraries that are installed. To upgrade to the latest version, run az upgrade.
- This article requires version 2.30 or later. Run
az --version
to find the version. If you need to install or upgrade, see Install Azure CLI. If using Azure Cloud Shell, the latest version is already installed.
Sample script
Launch Azure Cloud Shell
The Azure Cloud Shell is a free interactive shell that you can use to run the steps in this article. It has common Azure tools preinstalled and configured to use with your account.
To open the Cloud Shell, just select Try it from the upper right corner of a code block. You can also launch Cloud Shell in a separate browser tab by going to https://shell.azure.com.
When Cloud Shell opens, verify that Bash is selected for your environment. Subsequent sessions will use Azure CLI in a Bash environment, Select Copy to copy the blocks of code, paste it into the Cloud Shell, and press Enter to run it.
Sign in to Azure
Cloud Shell is automatically authenticated under the initial account signed-in with. Use the following script to sign in using a different subscription, replacing <Subscription ID>
with your Azure Subscription ID. If you don't have an Azure subscription, create an Azure free account before you begin.
subscription="<subscriptionId>" # add subscription here
az account set -s $subscription # ...or use 'az login'
For more information, see set active subscription or log in interactively
Run the script
# Throughput operations for a Gremlin API database and graph
# Variable block
let "randomIdentifier=$RANDOM*$RANDOM"
location="East US"
resourceGroup="msdocs-cosmosdb-rg-$randomIdentifier"
tag="throughput-gremlin-cosmosdb"
account="msdocs-account-cosmos-$randomIdentifier" #needs to be lower case
database="msdocs-db-gremlin-cosmos"
graph="msdocs-graph1-gremlin-cosmos"
partitionKey="/partitionKey"
originalThroughput=400
updateThroughput=500
# Create a resource group
az group create --name $resourceGroup --location "$location" --tags $tag
# Create a Cosmos account for Gremlin API
echo "Creating $account"
az cosmosdb create --name $account --resource-group $resourceGroup --capabilities EnableGremlin
# Create Gremlin database with throughput
echo "Creating $database with $originalThroughput"
az cosmosdb gremlin database create --account-name $account --resource-group $resourceGroup --name $database --throughput $originalThroughput
# Create Gremlin graph with throughput
echo "Creating $graph with $originalThroughput"
az cosmosdb gremlin graph create --account-name $account --resource-group $resourceGroup --database-name $database --name $graph --partition-key-path $partitionKey --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
# Retrieve the current provisioned database throughput
az cosmosdb gremlin database throughput show --resource-group $resourceGroup --account-name $account --name $database --query resource.throughput -o tsv
# Retrieve the minimum allowable database throughput
minimumThroughput=$(az cosmosdb gremlin database throughput show --resource-group $resourceGroup --account-name $account --name $database --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
# Update database throughput
echo "Updating $database throughput to $updateThroughput"
az cosmosdb gremlin database throughput update --account-name $account --resource-group $resourceGroup --name $database --throughput $updateThroughput
# Migrate the database from standard (manual) throughput to autoscale throughput
az cosmosdb gremlin database throughput migrate --account-name $account --resource-group $resourceGroup --name $database --throughput-type "autoscale"
# Retrieve current autoscale provisioned max database throughput
az cosmosdb gremlin database throughput show --resource-group $resourceGroup --account-name $account --name $database --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
# Retrieve the current provisioned graph throughput
az cosmosdb gremlin graph throughput show --resource-group $resourceGroup --account-name $account --database $database --name $graph --query resource.throughput -o tsv
# Retrieve the minimum allowable graph throughput
minimumThroughput=$(az cosmosdb gremlin graph throughput show --resource-group $resourceGroup --account-name $account --database $database --name $graph --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
# Update graph throughput
echo "Updating $graph throughput to $updateThroughput"
az cosmosdb gremlin graph throughput update --resource-group $resourceGroup --account-name $account --database $database --name $graph --throughput $updateThroughput
# Migrate the graph from standard (manual) throughput to autoscale throughput
az cosmosdb gremlin graph throughput migrate --account-name $account --resource-group $resourceGroup --database $database --name $graph --throughput-type "autoscale"
# Retrieve the current autoscale provisioned max graph throughput
az cosmosdb gremlin graph throughput show --resource-group $resourceGroup --account-name $account --database $database --name $graph --query resource.autoscaleSettings.maxThroughput -o tsv
Clean up resources
Use the following command to remove the resource group and all resources associated with it using the az group delete command - unless you have an ongoing need for these resources. Some of these resources may take a while to create, as well as to delete.
az group delete --name $resourceGroup
Sample reference
This script uses the following commands. Each command in the table links to command specific documentation.
Command | Notes |
---|---|
az group create | Creates a resource group in which all resources are stored. |
az cosmosdb create | Creates an Azure Cosmos DB account. |
az cosmosdb gremlin database create | Creates an Azure Cosmos DB for Gremlin database. |
az cosmosdb gremlin graph create | Creates an Azure Cosmos DB for Gremlin graph. |
az cosmosdb gremlin database throughput update | Update RU/s for an Azure Cosmos DB for Gremlin database. |
az cosmosdb gremlin graph throughput update | Update RU/s for an Azure Cosmos DB for Gremlin graph. |
az cosmosdb gremlin database throughput migrate | Migrate throughput for an Azure Cosmos DB for Gremlin database. |
az cosmosdb gremlin graph throughput migrate | Migrate throughput for an Azure Cosmos DB for Gremlin graph. |
az group delete | Deletes a resource group including all nested resources. |
Next steps
For more information on the Azure Cosmos DB CLI, see Azure Cosmos DB CLI documentation.