Azure Cosmos DB SQL API client library for Python

Azure Cosmos DB is a globally distributed, multi-model database service that supports document, key-value, wide-column, and graph databases.

Use the Azure Cosmos DB SQL API SDK for Python to manage databases and the JSON documents they contain in this NoSQL database service.

  • Create Cosmos DB databases and modify their settings

  • Create and modify containers to store collections of JSON documents

  • Create, read, update, and delete the items (JSON documents) in your containers

  • Query the documents in your database using SQL-like syntax

SDK source code | Package (PyPI) | API reference documentation | Product documentation | Samples

Getting started

Prerequisites

If you need a Cosmos DB SQL API account, you can create one with this Azure CLI command:

az cosmosdb create --resource-group <resource-group-name> --name <cosmos-account-name>

Install the package

pip install azure-cosmos

Configure a virtual environment (optional)

Although not required, you can keep your your base system and Azure SDK environments isolated from one another if you use a virtual environment. Execute the following commands to configure and then enter a virtual environment with venv:

python3 -m venv azure-cosmosdb-sdk-environment
source azure-cosmosdb-sdk-environment/bin/activate

Authenticate the client

Interaction with Cosmos DB starts with an instance of the CosmosClient class. You need an account, its URI, and one of its account keys to instantiate the client object.

Use the Azure CLI snippet below to populate two environment variables with the database account URI and its primary master key (you can also find these values in the Azure portal). The snippet is formatted for the Bash shell.

RES_GROUP=<resource-group-name>
ACCT_NAME=<cosmos-db-account-name>

export ACCOUNT_URI=$(az cosmosdb show --resource-group $RES_GROUP --name $ACCT_NAME --query documentEndpoint --output tsv)
export ACCOUNT_KEY=$(az cosmosdb list-keys --resource-group $RES_GROUP --name $ACCT_NAME --query primaryMasterKey --output tsv)

Create the client

Once you’ve populated the ACCOUNT_URI and ACCOUNT_KEY environment variables, you can create the CosmosClient.

from azure.cosmos import CosmosClient, PartitionKey, exceptions

import os
url = os.environ['ACCOUNT_URI']
key = os.environ['ACCOUNT_KEY']
client = CosmosClient(url, credential=key)

Key concepts

Once you’ve initialized a CosmosClient, you can interact with the primary resource types in Cosmos DB:

  • Database: A Cosmos DB account can contain multiple databases. When you create a database, you specify the API you’d like to use when interacting with its documents: SQL, MongoDB, Gremlin, Cassandra, or Azure Table. Use the DatabaseProxy object to manage its containers.

  • Container: A container is a collection of JSON documents. You create (insert), read, update, and delete items in a container by using methods on the ContainerProxy object.

  • Item: An Item is the dictionary-like representation of a JSON document stored in a container. Each Item you add to a container must include an id key with a value that uniquely identifies the item within the container.

For more information about these resources, see Working with Azure Cosmos databases, containers and items.

Examples

The following sections provide several code snippets covering some of the most common Cosmos DB tasks, including:

Create a database

After authenticating your CosmosClient, you can work with any resource in the account. The code snippet below creates a SQL API database, which is the default when no API is specified when create_database is invoked.

database_name = 'testDatabase'
try:
    database = client.create_database(database_name)
except exceptions.CosmosResourceExistsError:
    database = client.get_database_client(database_name)

Create a container

This example creates a container with default settings. If a container with the same name already exists in the database (generating a 409 Conflict error), the existing container is obtained instead.

container_name = 'products'
try:
    container = database.create_container(id=container_name, partition_key=PartitionKey(path="/productName"))
except exceptions.CosmosResourceExistsError:
    container = database.get_container_client(container_name)
except exceptions.CosmosHttpResponseError:
    raise

The preceding snippet also handles the CosmosHttpResponseError exception if the container creation failed. For more information on error handling and troubleshooting, see the Troubleshooting section.

Get an existing container

Retrieve an existing container from the database:

database = client.get_database_client(database_name)
container = database.get_container_client(container_name)

Insert data

To insert items into a container, pass a dictionary containing your data to ContainerProxy.upsert_item. Each item you add to a container must include an id key with a value that uniquely identifies the item within the container.

This example inserts several items into the container, each with a unique id:

database_client = client.get_database_client(database_name)
container_client = database.get_container_client(container_name)

for i in range(1, 10):
    container_client.upsert_item({
            'id': 'item{0}'.format(i),
            'productName': 'Widget',
            'productModel': 'Model {0}'.format(i)
        }
    )

Delete data

To delete items from a container, use ContainerProxy.delete_item. The SQL API in Cosmos DB does not support the SQL DELETE statement.

for item in container.query_items(
        query='SELECT * FROM products p WHERE p.productModel = "DISCONTINUED"',
        enable_cross_partition_query=True):
    container.delete_item(item, partition_key='Pager')

NOTE: If you are using partitioned collection, the value of the partitionKey in the example code above, should be set to the value of the partition key for this particular item, not the name of the partition key column in your collection. This holds true for both point reads and deletes.

Query the database

A Cosmos DB SQL API database supports querying the items in a container with ContainerProxy.query_items using SQL-like syntax.

This example queries a container for items with a specific id:

database = client.get_database_client(database_name)
container = database.get_container_client(container_name)

# Enumerate the returned items
import json
for item in container.query_items(
        query='SELECT * FROM mycontainer r WHERE r.id="item3"',
        enable_cross_partition_query=True):
    print(json.dumps(item, indent=True))

NOTE: Although you can specify any value for the container name in the FROM clause, we recommend you use the container name for consistency.

Perform parameterized queries by passing a dictionary containing the parameters and their values to ContainerProxy.query_items:

discontinued_items = container.query_items(
    query='SELECT * FROM products p WHERE p.productModel = @model',
    parameters=[
        dict(name='@model', value='Model 7')
    ],
    enable_cross_partition_query=True
)
for item in discontinued_items:
    print(json.dumps(item, indent=True))

For more information on querying Cosmos DB databases using the SQL API, see Query Azure Cosmos DB data with SQL queries.

Get database properties

Get and display the properties of a database:

database = client.get_database_client(database_name)
properties = database.read()
print(json.dumps(properties))

Modify container properties

Certain properties of an existing container can be modified. This example sets the default time to live (TTL) for items in the container to 10 seconds:

database = client.get_database_client(database_name)
container = database.get_container_client(container_name)
database.replace_container(
    container,
    partition_key=PartitionKey(path="/productName"),
    default_ttl=10,
)
# Display the new TTL setting for the container
container_props = container.read()
print(json.dumps(container_props['defaultTtl']))

For more information on TTL, see Time to Live for Azure Cosmos DB data.

Troubleshooting

General

When you interact with Cosmos DB using the Python SDK, exceptions returned by the service correspond to the same HTTP status codes returned for REST API requests:

HTTP Status Codes for Azure Cosmos DB

For example, if you try to create a container using an ID (name) that’s already in use in your Cosmos DB database, a 409 error is returned, indicating the conflict. In the following snippet, the error is handled gracefully by catching the exception and displaying additional information about the error.

try:
    database.create_container(id=container_name, partition_key=PartitionKey(path="/productName")
except exceptions.CosmosResourceExistsError:
    print("""Error creating container
HTTP status code 409: The ID (name) provided for the container is already in use.
The container name must be unique within the database.""")

Logging

This library uses the standard logging library for logging. Basic information about HTTP sessions (URLs, headers, etc.) is logged at INFO level.

Detailed DEBUG level logging, including request/response bodies and unredacted headers, can be enabled on a client with the logging_enable argument:

import sys
import logging
from azure.cosmos import CosmosClient

# Create a logger for the 'azure' SDK
logger = logging.getLogger('azure')
logger.setLevel(logging.DEBUG)

# Configure a console output
handler = logging.StreamHandler(stream=sys.stdout)
logger.addHandler(handler)

# This client will log detailed information about its HTTP sessions, at DEBUG level
client = CosmosClient(url, credential=key, logging_enable=True)

Similarly, logging_enable can enable detailed logging for a single operation, even when it isn’t enabled for the client:

database = client.create_database(database_name, logging_enable=True)

Next steps

For more extensive documentation on the Cosmos DB service, see the Azure Cosmos DB documentation on docs.microsoft.com.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.