.. role:: raw-html-m2r(raw)
:format: html
*Disclaimer*
----------------
*Azure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer to https://github.com/Azure/azure-sdk-for-python/issues/20691*
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. High level capabilities are:
* 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 `_
..
This SDK is used for the `SQL API `_. For all other APIs, please check the `Azure Cosmos DB documentation `_ to evaluate the best SDK for your project.
Getting started
---------------
Important update on Python 2.x Support
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
New releases of this SDK won't support Python 2.x starting January 1st, 2022. Please check the `CHANGELOG `_ for more information.
Prerequisites
^^^^^^^^^^^^^
* Azure subscription - `Create a free account `_
* Azure `Cosmos DB account `_ - SQL API
* `Python 3.6+ `_
If you need a Cosmos DB SQL API account, you can create one with this `Azure CLI `_ command:
.. code-block:: Bash
az cosmosdb create --resource-group --name
Install the package
^^^^^^^^^^^^^^^^^^^
.. code-block:: bash
pip install azure-cosmos
Configure a virtual environment (optional)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Although not required, you can keep 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 `_\ :
.. code-block:: Bash
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.
.. code-block:: Bash
RES_GROUP=
ACCT_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 `_.
.. code-block:: Python
from azure.cosmos import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
AAD Authentication
^^^^^^^^^^^^^^^^^^
You can also authenticate a client utilizing your service principal's AAD credentials and the azure identity package.
You can directly pass in the credentials information to ClientSecretCredential, or use the DefaultAzureCredential:
.. code-block:: Python
from azure.cosmos import CosmosClient
from azure.identity import ClientSecretCredential, DefaultAzureCredential
import os
url = os.environ['ACCOUNT_URI']
tenant_id = os.environ['TENANT_ID']
client_id = os.environ['CLIENT_ID']
client_secret = os.environ['CLIENT_SECRET']
# Using ClientSecretCredential
aad_credentials = ClientSecretCredential(
tenant_id=tenant_id,
client_id=client_id,
client_secret=client_secret)
# Using DefaultAzureCredential (recommended)
aad_credentials = DefaultAzureCredential()
client = CosmosClient(url, aad_credentials)
Always ensure that the managed identity you use for AAD authentication has ``readMetadata`` permissions. :raw-html-m2r:`
`
More information on how to set up AAD authentication: `Set up RBAC for AAD authentication `_ :raw-html-m2r:`
`
More information on allowed operations for AAD authenticated clients: `RBAC Permission Model `_
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 `_.
How to use ``enable_cross_partition_query``
-----------------------------------------------
The keyword-argument ``enable_cross_partition_query`` accepts 2 options: ``None`` (default) or ``True``.
Note on using queries by id
---------------------------
When using queries that try to find items based on an **id** value, always make sure you are passing in a string type variable. Azure Cosmos DB only allows string id values and if you use any other datatype, this SDK will return no results and no error messages.
Note on client consistency levels
---------------------------------
As of release version 4.3.0b3, if a user does not pass in an explicit consistency level to their client initialization,
their client will use their database account's default level. Previously, the default was being set to ``Session`` consistency.
If for some reason you'd like to keep doing this, you can change your client initialization to include the explicit parameter for this like shown:
.. code-block:: Python
from azure.cosmos import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY, consistency_level='Session')
Limitations
-----------
Currently the features below are **not supported**. For alternatives options, check the **Workarounds** section below.
Data Plane Limitations:
^^^^^^^^^^^^^^^^^^^^^^^
* Group By queries
* Queries with COUNT from a DISTINCT subquery: SELECT COUNT (1) FROM (SELECT DISTINCT C.ID FROM C)
* Bulk/Transactional batch processing
* Direct TCP Mode access
* Continuation token for cross partitions queries
* Change Feed: Processor
* Change Feed: Read multiple partitions key values
* Change Feed: Read specific time
* Change Feed: Read from the beginning
* Change Feed: Pull model
* Cross-partition ORDER BY for mixed types
Control Plane Limitations:
^^^^^^^^^^^^^^^^^^^^^^^^^^
* Get CollectionSizeUsage, DatabaseUsage, and DocumentUsage metrics
* Create Geospatial Index
* Get the connection string
* Get the minimum RU/s of a container
Workarounds
-----------
Bulk processing Limitation Workaround
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
If you want to use Python SDK to perform bulk inserts to Cosmos DB, the best alternative is to use `stored procedures `_ to write multiple items with the same partition key.
Control Plane Limitations Workaround
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Typically, you can use `Azure Portal `_\ , `Azure Cosmos DB Resource Provider REST API `_\ , `Azure CLI `_ or `PowerShell `_ for the control plane unsupported limitations.
Boolean Data Type
-----------------
While the Python language `uses `_ "True" and "False" for boolean types, Cosmos DB `accepts `_ "true" and "false" only. In other words, the Python language uses Boolean values with the first uppercase letter and all other lowercase letters, while Cosmos DB and its SQL language use only lowercase letters for those same Boolean values. How to deal with this challenge?
* Your JSON documents created with Python must use "True" and "False", to pass the language validation. The SDK will convert it to "true" and "false" for you. Meaning that "true" and "false" is what will be stored in Cosmos DB.
* If you retrieve those documents with the Cosmos DB Portal's Data Explorer, you will see "true" and "false".
* If you retrieve those documents with this Python SDK, "true" and "false" values will be automatically converted to "True" and "False".
SQL Queries x FROM Clause Subitems
----------------------------------
This SDK uses the `query_items `_ method to submit SQL queries to Azure Cosmos DB.
Cosmos DB SQL language allows you to `get subitems by using the FROM clause `_\ , to reduce the source to a smaller subset. As an example, you can use ``select * from Families.children`` instead of ``select * from Families``. But please note that:
* For SQL queries using the ``query_items`` method, this SDK demands that you specify the ``partition_key`` or use the ``enable_cross_partition_query`` flag.
* If you are getting subitems and specifying the ``partition_key``\ , please make sure that your partition key is included in the subitems, which is not true for most of the cases.
Max Item Count
--------------
This is a parameter of the query_items method, an integer indicating the maximum number of items to be returned per page. The ``None`` value can be specified to let the service determine the optimal item count. This is the recommended configuration value, and the default behavior of this SDK when it is not set.
Examples
--------
The following sections provide several code snippets covering some of the most common Cosmos DB tasks, including:
* :raw-html-m2r:`Create a database`
* :raw-html-m2r:`Create a container`
* :raw-html-m2r:`Create an analytical store enabled container`
* :raw-html-m2r:`Get an existing container`
* :raw-html-m2r:`Insert data`
* :raw-html-m2r:`Delete data`
* :raw-html-m2r:`Query the database`
* :raw-html-m2r:`Get database properties`
* :raw-html-m2r:`Get database and container throughputs`
* :raw-html-m2r:`Modify container properties`
* :raw-html-m2r:`Using the asynchronous client`
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.
.. code-block:: Python
from azure.cosmos import CosmosClient, exceptions
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
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.
.. code-block:: Python
from azure.cosmos import CosmosClient, PartitionKey, exceptions
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
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
Create an analytical store enabled container
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This example creates a container with `Analytical Store `_ enabled, for reporting, BI, AI, and Advanced Analytics with `Azure Synapse Link `_.
The options for analytical_storage_ttl are:
* 0 or Null or not informed: Not enabled.
* -1: The data will be stored infinitely.
* Any other number: the actual ttl, in seconds.
.. code-block:: Python
CONTAINER_NAME = 'products'
try:
container = database.create_container(id=CONTAINER_NAME, partition_key=PartitionKey(path="/productName"),analytical_storage_ttl=-1)
except exceptions.CosmosResourceExistsError:
container = database.get_container_client(CONTAINER_NAME)
except exceptions.CosmosHttpResponseError:
raise
The preceding snippets also handle the `CosmosHttpResponseError `_ exception if the container creation failed. For more information on error handling and troubleshooting, see the :raw-html-m2r:`Troubleshooting` section.
Get an existing container
^^^^^^^^^^^^^^^^^^^^^^^^^
Retrieve an existing container from the database:
.. code-block:: Python
from azure.cosmos import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
CONTAINER_NAME = 'products'
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``\ :
.. code-block:: Python
from azure.cosmos import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
CONTAINER_NAME = 'products'
container = database.get_container_client(CONTAINER_NAME)
for i in range(1, 10):
container.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.
.. code-block:: Python
from azure.cosmos import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
CONTAINER_NAME = 'products'
container = database.get_container_client(CONTAINER_NAME)
for item in container.query_items(
query='SELECT * FROM products p WHERE p.productModel = "Model 2"',
enable_cross_partition_query=True):
container.delete_item(item, partition_key='Widget')
..
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``\ :
.. code-block:: Python
from azure.cosmos import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
CONTAINER_NAME = 'products'
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 `_\ :
.. code-block:: Python
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:
.. code-block:: Python
from azure.cosmos import CosmosClient
import os
import json
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
properties = database.read()
print(json.dumps(properties))
Get database and container throughputs
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Get and display the throughput values of a database and of a container with dedicated throughput:
.. code-block:: Python
from azure.cosmos import CosmosClient
import os
import json
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
# Database
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
db_offer = database.read_offer()
print('Found Offer \'{0}\' for Database \'{1}\' and its throughput is \'{2}\''.format(db_offer.properties['id'], database.id, db_offer.properties['content']['offerThroughput']))
# Container with dedicated throughput only. Will return error "offer not found" for containers without dedicated throughput
CONTAINER_NAME = 'testContainer'
container = database.get_container_client(CONTAINER_NAME)
container_offer = container.read_offer()
print('Found Offer \'{0}\' for Container \'{1}\' and its throughput is \'{2}\''.format(container_offer.properties['id'], container.id, container_offer.properties['content']['offerThroughput']))
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:
.. code-block:: Python
from azure.cosmos import CosmosClient, PartitionKey
import os
import json
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
CONTAINER_NAME = 'products'
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 `_.
Using the asynchronous client
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The asynchronous cosmos client is a separate client that looks and works in a similar fashion to the existing synchronous client. However, the async client needs to be imported separately and its methods need to be used with the async/await keywords.
The Async client needs to be initialized and closed after usage, which can be done manually or with the use of a context manager. The example below shows how to do so manually.
.. code-block:: Python
from azure.cosmos.aio import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
DATABASE_NAME = 'testDatabase'
CONTAINER_NAME = 'products'
async def create_products():
client = CosmosClient(URL, credential=KEY)
database = client.get_database_client(DATABASE_NAME)
container = database.get_container_client(CONTAINER_NAME)
for i in range(10):
await container.upsert_item({
'id': 'item{0}'.format(i),
'productName': 'Widget',
'productModel': 'Model {0}'.format(i)
}
)
await client.close() # the async client must be closed manually if it's not initialized in a with statement
Instead of manually opening and closing the client, it is highly recommended to use the ``async with`` keywords. This creates a context manager that will initialize and later close the client once you're out of the statement. The example below shows how to do so.
.. code-block:: Python
from azure.cosmos.aio import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
DATABASE_NAME = 'testDatabase'
CONTAINER_NAME = 'products'
async def create_products():
async with CosmosClient(URL, credential=KEY) as client: # the with statement will automatically initialize and close the async client
database = client.get_database_client(DATABASE_NAME)
container = database.get_container_client(CONTAINER_NAME)
for i in range(10):
await container.upsert_item({
'id': 'item{0}'.format(i),
'productName': 'Widget',
'productModel': 'Model {0}'.format(i)
}
)
Queries with the asynchronous client
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Unlike the synchronous client, the async client does not have an ``enable_cross_partition`` flag in the request. Queries without a specified partition key value will attempt to do a cross partition query by default.
Query results can be iterated, but the query's raw output returns an asynchronous iterator. This means that each object from the iterator is an awaitable object, and does not yet contain the true query result. In order to obtain the query results you can use an async for loop, which awaits each result as you iterate on the object, or manually await each query result as you iterate over the asynchronous iterator.
Since the query results are an asynchronous iterator, they can't be cast into lists directly; instead, if you need to create lists from your results, use an async for loop or Python's list comprehension to populate a list:
.. code-block:: Python
from azure.cosmos.aio import CosmosClient
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
CONTAINER_NAME = 'products'
container = database.get_container_client(CONTAINER_NAME)
async def create_lists():
results = container.query_items(
query='SELECT * FROM products p WHERE p.productModel = "Model 2"')
# iterates on "results" iterator to asynchronously create a complete list of the actual query results
item_list = []
async for item in results:
item_list.append(item)
# Asynchronously creates a complete list of the actual query results. This code performs the same action as the for-loop example above.
item_list = [item async for item in results]
await client.close()
Using Integrated Cache
^^^^^^^^^^^^^^^^^^^^^^
An integrated cache is an in-memory cache that helps you ensure manageable costs and low latency as your request volume grows. The integrated cache has two parts: an item cache for point reads and a query cache for queries. The code snippet below shows you how to use this feature with the point read and query cache methods.
The benefit of using this is that the point reads and queries that hit the integrated cache won't use any RUs. This means you will have a much lower per-operation cost than reads from the backend.
`How to configure the Azure Cosmos DB integrated cache (Preview) `_
.. code-block:: Python
import azure.cosmos.cosmos_client as cosmos_client
import os
URL = os.environ['ACCOUNT_URI']
KEY = os.environ['ACCOUNT_KEY']
client = cosmos_client.CosmosClient(URL, credential=KEY)
DATABASE_NAME = 'testDatabase'
database = client.get_database_client(DATABASE_NAME)
CONTAINER_NAME = 'testContainer'
container = database.get_container_client(CONTAINER_NAME)
def integrated_cache_snippet():
item_id = body['id']
query = 'SELECT * FROM c'
#item cache
container.read_item(item=item_id, partition_key=item_id, max_integrated_cache_staleness_in_ms=30000)
#query cache
container.query_items(query=query,
partition_key=item_id, max_integrated_cache_staleness_in_ms=30000)
For more information on Integrated Cache, see `Azure Cosmos DB integrated cache - Overview `_.
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.
.. code-block:: Python
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:
.. code-block:: python
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:
.. code-block:: py
database = client.create_database(DATABASE_NAME, logging_enable=True)
Alternatively, you can log using the CosmosHttpLoggingPolicy, which extends from the azure core HttpLoggingPolicy, by passing in your logger to the ``logger`` argument.
By default, it will use the behaviour from HttpLoggingPolicy. The ``enable_diagnostics_logging`` argument will add additional diagnostic information to the logger.
.. code-block:: python
import logging
from azure.cosmos import CosmosClient
#Create a logger for the 'azure' SDK
logger = logging.getLogger('azure')
logger.setLevel(logging.DEBUG)
# Configure a file output
handler = logging.FileHandler(filename="azure")
logger.addHandler(handler)
# This client will log diagnostic information from the HTTP session by using the CosmosHttpLoggingPolicy
client = CosmosClient(URL, credential=KEY, logger=logger, enable_diagnostics_logging=True)
Similarly, CosmosHttpLoggingPolicy can enable detailed logging for a single operation,
even when it isn't enabled for the client:
.. code-block:: py
database = client.create_database(DATABASE_NAME, logger=logger, enable_diagnostics_logging=True)
Next steps
----------
For more extensive documentation on the Cosmos DB service, see the `Azure Cosmos DB documentation `_ on docs.microsoft.com.
:raw-html-m2r:``
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.
Indices and tables
------------------
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
.. toctree::
:maxdepth: 5
:glob:
:caption: Developer Documentation
azure.cosmos.rst