Quickstart: Build a Table API app with Python and Azure Cosmos DB
This quickstart shows how to use Python and the Azure Cosmos DB Table API to build an app by cloning an example from GitHub. This quickstart also shows you how to create an Azure Cosmos DB account and how to use Data Explorer to create tables and entities in the web-based Azure portal.
Azure Cosmos DB is Microsoft’s globally distributed multi-model database service. You can quickly create and query document, key/value, wide-column, and graph databases, all of which benefit from the global distribution and horizontal scale capabilities at the core of Azure Cosmos DB.
If you don't have an Azure subscription, create a free account before you begin.
You can Try Azure Cosmos DB for free without an Azure subscription, free of charge and commitments. Or, you can use the Azure Cosmos DB Emulator with a URI of https://localhost:8081. The Primary Key is provided in Authenticating requests.
- If you don’t already have Visual Studio 2017 installed, you can download and use the free Visual Studio 2017 Community Edition. Make sure that you select the Azure development and Python development workloads during the Visual Studio setup.
- Also select the Python 2 option in the Python development workload, or download Python 2.7 from python.org.
Create a database account
You need to create a new Table API account to work with the generally available Table API SDKs. Table API accounts created during preview are not supported by the generally available SDKs.
- In a new browser window, sign in to the Azure portal.
In the left menu, click Create a resource, click Databases, and then under Azure Cosmos DB, click Create.
In the New account page, enter the settings for the new Azure Cosmos DB account.
Setting Suggested value Description ID Enter a unique name Enter a unique name to identify this Azure Cosmos DB account. Because documents.azure.com is appended to the ID that you provide to create your URI, use a unique but identifiable ID.
The ID can contain only lowercase letters, numbers, and the hyphen (-) character, and it must contain 3 to 50 characters.
API Azure Table The API determines the type of account to create. Azure Cosmos DB provides five APIs to suits the needs of your application: SQL (document database), Gremlin (graph database), MongoDB (document database), Azure Table, and Cassandra, each which currently require a separate account.
Select Azure Table because in this quickstart you are creating a table that works with the Table API.
Learn more about the Table API
Subscription Enter the same unique name as provided above in ID Select Azure subscription that you want to use for this Azure Cosmos DB account. Resource Group Create new
Then enter the same unique name as provided above in ID
Select Create New, then enter a new resource-group name for your account. For simplicity, you can use the same name as your ID. Location Select the region closest to your users Select geographic location in which to host your Azure Cosmos DB account. Use the location that's closest to your users to give them the fastest access to the data. Enable geo-redundancy Leave blank This creates a replicated version of your database in a second (paired) region. Leave this blank. Pin to dashboard Select Select this box so that your new database account is added to your portal dashboard for easy access.
Then click Create.
The account creation takes a few minutes. Wait for the portal to display the Congratulations! Your Azure Cosmos DB account was created page.
Add a table
You can now use the Data Explorer tool in the Azure portal to create a database and table.
Click Data Explorer > New Table.
The Add Table area is displayed on the far right, you may need to scroll right to see it.
In the Add Table page, enter the settings for the new table.
Setting Suggested value Description Table Id sample-table The ID for your new table. Table names have the same character requirements as database ids. Database names must be between 1 and 255 characters, and cannot contain
/ \ # ?or a trailing space.
Storage capacity Fixed (10 GB) Use the default value of Fixed (10 GB). This value is the storage capacity of the database. Throughput 400 RUs Change the throughput to 400 request units per second (RU/s). If you want to reduce latency, you can scale up the throughput later.
Data Explorer displays the new database and table.
Add sample data
You can now add data to your new table using Data Explorer.
In Data Explorer, expand sample-table, click Entities, and then click Add Entity.
Now add data to the PartitionKey value box and RowKey value box, and click Add Entity.
You can now add more entities to your table, edit your entities, or query your data in Data Explorer. Data Explorer is also where you can scale your throughput and add stored procedures, user-defined functions, and triggers to your table.
Clone the sample application
Now let's clone a Table app from github, set the connection string, and run it. You'll see how easy it is to work with data programmatically.
Open a command prompt, create a new folder named git-samples, then close the command prompt.
Open a git terminal window, such as git bash, and use the
cdcommand to change to the new folder to install the sample app.
Run the following command to clone the sample repository. This command creates a copy of the sample app on your computer.
git clone https://github.com/Azure-Samples/storage-python-getting-started.git
Then open the solution file in Visual Studio.
Update your connection string
Now go back to the Azure portal to get your connection string information and copy it into the app. This enables your app to communicate with your hosted database.
In the Azure portal, click Connection String.
Copy the ACCOUNT NAME using the button on the right side.
Open the config.py file, and paste the ACCOUNT NAME from the portal into the STORAGE_ACCOUNT_NAME value on line 19.
Go back to the portal and copy the PRIMARY KEY.
Paste the PRIMARY KEY from the portal into the STORAGE_ACCOUNT_KEY value on line 20.
Save the config.py file.
Run the app
In Visual Studio, right-click on the project in Solution Explorer, select the current Python environment, then right click.
Select Install Python Package, then type in azure-storage-table
Run F5 to run the application. Your app displays in your browser.
You can now go back to Data Explorer and see query, modify, and work with this new data.
Review SLAs in the Azure portal
The throughput, storage, availability, latency, and consistency of the resources in your account are monitored in the Azure portal. Let's take a quick look at these metrics.
Click Metrics in the navigation menu.
Click through each of the tabs so you're aware of the metrics Azure Cosmos DB provides.
Each chart that's associated with the Azure Cosmos DB Service Level Agreements (SLAs) provides a line that shows if any of the SLAs have been violated. Azure Cosmos DB makes monitoring your SLAs transparent with this suite of metrics.
Clean up resources
If you're not going to continue to use this app, delete all resources created by this quickstart with the following steps so you don't incur any charges:
In the Azure portal, select Resource groups on the far left, and then select the resource group you created.
If the left menu is collapsed, click to expand it.
In the new window select the resource group, and then click Delete resource group.
In the new window, type the name of the resource group to delete, and then click Delete.
In this quickstart, you've learned how to create an Azure Cosmos DB account, create a table using the Data Explorer, and run an app. Now you can query your data using the Table API.