Metadata-Version: 2.1
Name: azure-data-tables
Version: 12.3.0
Summary: Microsoft Azure Azure Data Tables Client Library for Python
Home-page: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/table/azure-table
Author: Microsoft Corporation
Author-email: ascl@microsoft.com
License: MIT License
Description: # Azure Tables client library for Python
        
        Azure Tables is a NoSQL data storage service that can be accessed from anywhere in the world via authenticated calls using HTTP or HTTPS.
        Tables scales as needed to support the amount of data inserted, and allow for the storing of data with non-complex accessing.
        The Azure Tables client can be used to access Azure Storage or Cosmos accounts. This document covers [`azure-data-tables`][Tables_pypi].
        
        Please note, this package is a replacement for [`azure-cosmosdb-tables`](https://github.com/Azure/azure-cosmos-table-python/tree/master/azure-cosmosdb-table) which is now deprecated. See the [migration guide][migration_guide] for more details.
        
        [Source code][source_code] | [Package (PyPI)][Tables_pypi] | [API reference documentation][Tables_ref_docs] | [Samples][Tables_samples]
        
        ## _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_
        
        ## Getting started
        The Azure Tables SDK can access an Azure Storage or CosmosDB account.
        
        ### Prerequisites
        * Python 3.6 or later is required to use this package.
        * You must have an [Azure subscription][azure_subscription] and either
            * an [Azure Storage account][azure_storage_account] or
            * an [Azure Cosmos Account][azure_cosmos_account].
        
        #### Create account
        * To create a new storage account, you can use [Azure Portal][azure_portal_create_account], [Azure PowerShell][azure_powershell_create_account], or [Azure CLI][azure_cli_create_account]:
        * To create a new cosmos storage account, you can use the [Azure CLI][azure_cli_create_cosmos] or [Azure Portal][azure_portal_create_cosmos].
        
        ### Install the package
        Install the Azure Tables client library for Python with [pip][pip_link]:
        ```bash
        pip install azure-data-tables
        ```
        
        #### Create the client
        The Azure Tables library allows you to interact with two types of resources:
        * the tables in your account
        * the entities within those tables.
        Interaction with these resources starts with an instance of a [client](#clients). To create a client object, you will need the account's table service endpoint URL and a credential that allows you to access the account. The `endpoint` can be found on the page for your storage account in the [Azure Portal][azure_portal_account_url] under the "Access Keys" section or by running the following Azure CLI command:
        
        ```bash
        # Get the table service URL for the account
        az storage account show -n mystorageaccount -g MyResourceGroup --query "primaryEndpoints.table"
        ```
        
        Once you have the account URL, it can be used to create the service client:
        ```python
        from azure.data.tables import TableServiceClient
        service = TableServiceClient(endpoint="https://<my_account_name>.table.core.windows.net/", credential=credential)
        ```
        
        For more information about table service URL's and how to configure custom domain names for Azure Storage check out the [official documentation][azure_portal_account_url]
        
        #### Types of credentials
        The `credential` parameter may be provided in a number of different forms, depending on the type of authorization you wish to use. The Tables library supports the following authorizations:
        * Shared Key
        * Connection String
        * Shared Access Signature Token
        
        ##### Creating the client from a shared key
        To use an account [shared key][azure_shared_key] (aka account key or access key), provide the key as a string. This can be found in your storage account in the [Azure Portal][azure_portal_account_url] under the "Access Keys" section or by running the following Azure CLI command:
        
        ```bash
        az storage account keys list -g MyResourceGroup -n MyStorageAccount
        ```
        
        Use the key as the credential parameter to authenticate the client:
        ```python
        from azure.core.credentials import AzureNamedKeyCredential
        from azure.data.tables import TableServiceClient
        
        credential = AzureNamedKeyCredential("my_account_name", "my_access_key")
        
        service = TableServiceClient(endpoint="https://<my_account_name>.table.core.windows.net", credential=credential)
        ```
        
        ##### Creating the client from a connection string
        Depending on your use case and authorization method, you may prefer to initialize a client instance with a connection string instead of providing the account URL and credential separately. To do this, pass the
        connection string to the client's `from_connection_string` class method. The connection string can be found in your storage account in the [Azure Portal][azure_portal_account_url] under the "Access Keys" section or with the following Azure CLI command:
        
        ```bash
        az storage account show-connection-string -g MyResourceGroup -n MyStorageAccount
        ```
        
        ```python
        from azure.data.tables import TableServiceClient
        connection_string = "DefaultEndpointsProtocol=https;AccountName=<my_account_name>;AccountKey=<my_account_key>;EndpointSuffix=core.windows.net"
        service = TableServiceClient.from_connection_string(conn_str=connection_string)
        ```
        
        ##### Creating the client from a SAS token
        To use a [shared access signature (SAS) token][azure_sas_token], provide the token as a string. If your account URL includes the SAS token, omit the credential parameter. You can generate a SAS token from the Azure Portal under [Shared access signature](https://docs.microsoft.com/rest/api/storageservices/create-service-sas) or use one of the `generate_*_sas()`
           functions to create a sas token for the account or table:
        
        ```python
        from datetime import datetime, timedelta
        from azure.data.tables import TableServiceClient, generate_account_sas, ResourceTypes, AccountSasPermissions
        from azure.core.credentials import AzureNamedKeyCredential, AzureSasCredential
        
        credential = AzureNamedKeyCredential("my_account_name", "my_access_key")
        sas_token = generate_account_sas(
            credential,
            resource_types=ResourceTypes(service=True),
            permission=AccountSasPermissions(read=True),
            expiry=datetime.utcnow() + timedelta(hours=1),
        )
        
        table_service_client = TableServiceClient(endpoint="https://<my_account_name>.table.core.windows.net", credential=AzureSasCredential(sas_token))
        ```
        
        
        ## Key concepts
        Common uses of the Table service included:
        * Storing TBs of structured data capable of serving web scale applications
        * Storing datasets that do not require complex joins, foreign keys, or stored procedures and can be de-normalized for fast access
        * Quickly querying data using a clustered index
        * Accessing data using the OData protocol and LINQ filter expressions
        
        The following components make up the Azure Tables Service:
        * The account
        * A table within the account, which contains a set of entities
        * An entity within a table, as a dictionary
        
        The Azure Tables client library for Python allows you to interact with each of these components through the
        use of a dedicated client object.
        
        ### Clients
        Two different clients are provided to interact with the various components of the Table Service:
        1. **`TableServiceClient`** -
            * Get and set account setting
            * Query, create, and delete tables within the account.
            * Get a `TableClient` to access a specific table using the `get_table_client` method.
        2. **`TableClient`** -
            * Interacts with a specific table (which need not exist yet).
            * Create, delete, query, and upsert entities within the specified table.
            * Create or delete the specified table itself.
        
        ### Entities
        Entities are similar to rows. An entity has a **`PartitionKey`**, a **`RowKey`**, and a set of properties. A property is a name value pair, similar to a column. Every entity in a table does not need to have the same properties. Entities can be represented as dictionaries like this as an example:
        ```python
        entity = {
            'PartitionKey': 'color',
            'RowKey': 'brand',
            'text': 'Marker',
            'color': 'Purple',
            'price': '5'
        }
        ```
        * **[create_entity][create_entity]** - Add an entity to the table.
        * **[delete_entity][delete_entity]** - Delete an entity from the table.
        * **[update_entity][update_entity]** - Update an entity's information by either merging or replacing the existing entity.
            * `UpdateMode.MERGE` will add new properties to an existing entity it will not delete an existing properties
            * `UpdateMode.REPLACE` will replace the existing entity with the given one, deleting any existing properties not included in the submitted entity
        * **[query_entities][query_entities]** - Query existing entities in a table using [OData filters][odata_syntax].
        * **[get_entity][get_entity]** - Get a specific entity from a table by partition and row key.
        * **[upsert_entity][upsert_entity]** - Merge or replace an entity in a table, or if the entity does not exist, inserts the entity.
            * `UpdateMode.MERGE` will add new properties to an existing entity it will not delete an existing properties
            * `UpdateMode.REPLACE` will replace the existing entity with the given one, deleting any existing properties not included in the submitted entity
        
        ## Examples
        
        The following sections provide several code snippets covering some of the most common Table tasks, including:
        
        * [Creating a table](#creating-a-table "Creating a table")
        * [Creating entities](#creating-entities "Creating entities")
        * [Querying entities](#querying-entities "Querying entities")
        
        
        ### Creating a table
        Create a table in your account and get a `TableClient` to perform operations on the newly created table:
        
        ```python
        from azure.data.tables import TableServiceClient
        table_service_client = TableServiceClient.from_connection_string(conn_str="<connection_string>")
        table_name = "myTable"
        table_client = table_service_client.create_table(table_name=table_name)
        ```
        
        ### Creating entities
        Create entities in the table:
        
        ```python
        from azure.data.tables import TableServiceClient
        from datetime import datetime
        
        PRODUCT_ID = u'001234'
        PRODUCT_NAME = u'RedMarker'
        
        my_entity = {
            u'PartitionKey': PRODUCT_NAME,
            u'RowKey': PRODUCT_ID,
            u'Stock': 15,
            u'Price': 9.99,
            u'Comments': u"great product",
            u'OnSale': True,
            u'ReducedPrice': 7.99,
            u'PurchaseDate': datetime(1973, 10, 4),
            u'BinaryRepresentation': b'product_name'
        }
        
        table_service_client = TableServiceClient.from_connection_string(conn_str="<connection_string>")
        table_client = table_service_client.get_table_client(table_name="myTable")
        
        entity = table_client.create_entity(entity=my_entity)
        ```
        
        ### Querying entities
        Querying entities in the table:
        
        ```python
        from azure.data.tables import TableClient
        my_filter = "PartitionKey eq 'RedMarker'"
        table_client = TableClient.from_connection_string(conn_str="<connection_string>", table_name="mytable")
        entities = table_client.query_entities(my_filter)
        for entity in entities:
            for key in entity.keys():
                print("Key: {}, Value: {}".format(key, entity[key]))
        ```
        
        ## Optional Configuration
        Optional keyword arguments can be passed in at the client and per-operation level. The azure-core [reference documentation][azure_core_ref_docs] describes available configurations for retries, logging, transport protocols, and more.
        
        
        ### Retry Policy configuration
        
        Use the following keyword arguments when instantiating a client to configure the retry policy:
        
        * __retry_total__ (int): Total number of retries to allow. Takes precedence over other counts.
        Pass in `retry_total=0` if you do not want to retry on requests. Defaults to 10.
        * __retry_connect__ (int): How many connection-related errors to retry on. Defaults to 3.
        * __retry_read__ (int): How many times to retry on read errors. Defaults to 3.
        * __retry_status__ (int): How many times to retry on bad status codes. Defaults to 3.
        * __retry_to_secondary__ (bool): Whether the request should be retried to secondary, if able.
        This should only be enabled of RA-GRS accounts are used and potentially stale data can be handled.
        Defaults to `False`.
        
        ### Other client / per-operation configuration
        
        Other optional configuration keyword arguments that can be specified on the client or per-operation.
        
        **Client keyword arguments:**
        
        * __connection_timeout__ (int): Optionally sets the connect and read timeout value, in seconds.
        * __transport__ (Any): User-provided transport to send the HTTP request.
        
        **Per-operation keyword arguments:**
        
        * __raw_response_hook__ (callable): The given callback uses the response returned from the service.
        * __raw_request_hook__ (callable): The given callback uses the request before being sent to service.
        * __client_request_id__ (str): Optional user specified identification of the request.
        * __user_agent__ (str): Appends the custom value to the user-agent header to be sent with the request.
        * __logging_enable__ (bool): Enables logging at the DEBUG level. Defaults to False. Can also be passed in at
        the client level to enable it for all requests.
        * __headers__ (dict): Pass in custom headers as key, value pairs. E.g. `headers={'CustomValue': value}`
        
        
        ## Troubleshooting
        
        ### General
        Azure Tables clients raise exceptions defined in [Azure Core][azure_core_readme].
        When you interact with the Azure table library using the Python SDK, errors returned by the service respond ot the same HTTP status codes for [REST API][tables_rest] requests. The Table service operations will throw a `HttpResponseError` on failure with helpful [error codes][tables_error_codes].
        
        For examples, if you try to create a table that already exists, a `409` error is returned indicating "Conflict".
        ```python
        from azure.data.tables import TableServiceClient
        from azure.core.exceptions import HttpResponseError
        table_name = 'YourTableName'
        
        service_client = TableServiceClient.from_connection_string(connection_string)
        
        # Create the table if it does not already exist
        tc = service_client.create_table_if_not_exists(table_name)
        
        try:
            service_client.create_table(table_name)
        except HttpResponseError:
            print("Table with name {} already exists".format(table_name))
        ```
        
        ### Logging
        This library uses the standard
        [logging][python_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:
        ```python
        import sys
        import logging
        from azure.data.tables import TableServiceClient
        # 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
        service_client = TableServiceClient.from_connection_string("your_connection_string", logging_enable=True)
        ```
        
        Similarly, `logging_enable` can enable detailed logging for a single operation,
        even when it is not enabled for the client:
        ```python
        service_client.create_entity(entity=my_entity, logging_enable=True)
        ```
        
        ## Next steps
        
        Get started with our [Table samples][tables_samples].
        
        Several Azure Tables Python SDK samples are available to you in the SDK's GitHub repository. These samples provide example code for additional scenarios commonly encountered while working with Tables.
        
        ### Common Scenarios
        These code samples show common scenario operations with the Azure Tables client library. The async versions of the samples (the python sample files appended with _async) show asynchronous operations with Tables and require Python 3.6 or later.
        
        * Create and delete tables: [sample_create_delete_table.py](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/sample_create_delete_table.py) ([async version](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/async_samples/sample_create_delete_table_async.py))
        * List and query tables: [sample_query_tables.py](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/sample_query_tables.py) ([async version](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/async_samples/sample_query_tables_async.py))
        * Insert and delete entities: [sample_insert_delete_entities.py](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/sample_insert_delete_entities.py) ([async version](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/async_samples/sample_insert_delete_entities_async.py))
        * Query and list entities: [sample_query_table.py](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/sample_query_table.py) ([async version](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/async_samples/sample_query_table_async.py))
        * Update, upsert, and merge entities: [sample_update_upsert_merge_entities.py](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/sample_update_upsert_merge_entities.py) ([async version](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/async_samples/sample_update_upsert_merge_entities_async.py))
        * Committing many requests in a single transaction: [sample_batching.py](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/sample_batching.py) ([async version](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples/async_samples/sample_batching_async.py))
        
        ### Additional documentation
        For more extensive documentation on Azure Tables, see the [Azure Tables documentation][Tables_product_doc] on docs.microsoft.com.
        
        ## Known Issues
        A list of currently known issues relating to Cosmos DB table endpoints can be found [here](https://aka.ms/tablesknownissues).
        
        ## 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][msft_oss_coc]. For more information see the [Code of Conduct FAQ][msft_oss_coc_faq] or contact [opencode@microsoft.com][contact_msft_oss] with any additional questions or comments.
        
        <!-- LINKS -->
        [source_code]:https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables
        [Tables_pypi]:https://aka.ms/azsdk/python/tablespypi
        [Tables_ref_docs]:https://docs.microsoft.com/python/api/overview/azure/data-tables-readme?view=azure-python
        [Tables_product_doc]:https://docs.microsoft.com/azure/cosmos-db/table-introduction
        [Tables_samples]:https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/tables/azure-data-tables/samples
        [migration_guide]:https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/migration_guide.md
        
        [azure_subscription]:https://azure.microsoft.com/free/
        [azure_storage_account]:https://docs.microsoft.com/azure/storage/common/storage-account-create?tabs=azure-portal
        [azure_cosmos_account]:https://docs.microsoft.com/azure/cosmos-db/create-cosmosdb-resources-portal
        [pip_link]:https://pypi.org/project/pip/
        
        [azure_create_cosmos]:https://docs.microsoft.com/azure/cosmos-db/create-cosmosdb-resources-portal
        [azure_cli_create_cosmos]:https://docs.microsoft.com/azure/cosmos-db/scripts/cli/table/create
        [azure_portal_create_cosmos]:https://docs.microsoft.com/azure/cosmos-db/create-cosmosdb-resources-portal
        [azure_portal_create_account]:https://docs.microsoft.com/azure/storage/common/storage-account-create?tabs=azure-portal
        [azure_powershell_create_account]:https://docs.microsoft.com/azure/storage/common/storage-account-create?tabs=azure-powershell
        [azure_cli_create_account]: https://docs.microsoft.com/azure/storage/common/storage-account-create?tabs=azure-cli
        
        [azure_cli_account_url]:https://docs.microsoft.com/cli/azure/storage/account?view=azure-cli-latest#az-storage-account-show
        [azure_powershell_account_url]:https://docs.microsoft.com/powershell/module/az.storage/get-azstorageaccount?view=azps-4.6.1
        [azure_portal_account_url]:https://docs.microsoft.com/azure/storage/common/storage-account-overview#storage-account-endpoints
        
        [azure_sas_token]:https://docs.microsoft.com/azure/storage/common/storage-sas-overview
        [azure_shared_key]:https://docs.microsoft.com/rest/api/storageservices/authorize-with-shared-key
        
        [odata_syntax]:https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/README.md#writing-filters
        
        [azure_core_ref_docs]: https://azuresdkdocs.blob.core.windows.net/$web/python/azure-core/latest/azure.core.html
        [azure_core_readme]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md
        
        [python_logging]: https://docs.python.org/3/library/logging.html
        [tables_error_codes]: https://docs.microsoft.com/rest/api/storageservices/table-service-error-codes
        
        [msft_oss_coc]:https://opensource.microsoft.com/codeofconduct/
        [msft_oss_coc_faq]:https://opensource.microsoft.com/codeofconduct/faq/
        [contact_msft_oss]:mailto:opencode@microsoft.com
        
        [tables_rest]: https://docs.microsoft.com/rest/api/storageservices/table-service-rest-api
        
        [create_entity]:https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/sample_insert_delete_entities.py#L67-L73
        [delete_entity]:https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/sample_insert_delete_entities.py#L89-L92
        [update_entity]:https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/sample_update_upsert_merge_entities.py#L165-L181
        [query_entities]:https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/sample_query_table.py#L75-L89
        [get_entity]:https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/sample_update_upsert_merge_entities.py#L67-L71
        [upsert_entity]:https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/tables/azure-data-tables/samples/sample_update_upsert_merge_entities.py#L155-L163
        
        ![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python/sdk/tables/azure-data-tables/README.png)
        
        
        # Release History
        
        ## 12.3.0 (2022-03-10)
        
        ### Bugs Fixed
        * Validation of the table name has been removed from the constructor of the TableClient. Instead individual APIs will validate the table name and raise a ValueError only if the service rejects the request due to the table name not being valid (#23106)
        * Fixed hard-coded URL scheme in batch requests (#21953)
        * Improved documentation for query formatting in `query_entities` APIs (#23235)
        * Removed unsecure debug logging
        
        ### Other Changes
        * Python 2.7 is no longer supported. Please use Python version 3.6 or later.
        * Bumped dependency on `azure-core` to `>=1.15.0`
        
        ## 12.2.0 (2021-11-10)
        **Warning** This release involves a bug fix that may change the behaviour for some users. Partition and Row keys that contain a single quote character (`'`) will now be automatically escaped for upsert, update and delete entity operations. Partition and Row keys that were already escaped, or contained duplicate single quote char (`''`) will now be treated as unescaped values.
        
        
        ### Bugs Fixed
        * Resolved bug where strings couldn't be used instead of enum value for entity Update Mode (#20247).
        * Resolved bug where single quote characters in Partition and Row keys were not escaped correctly (#20301).
        
        ### Features Added
        * Added support for async iterators in `aio.TableClient.submit_transaction (#21083, thank you yashbhutoria).
        
        ### Other Changes
        * Bumped dependency on `msrest` to `>=0.6.21`
        
        ## 12.1.0 (2021-07-06)
        
        ### Features Added
        * Storage Accounts only: `TableClient` and `TableServiceClient`s can now use `azure-identity` credentials for authentication. Note: A `TableClient` authenticated with a `TokenCredential` cannot use the `get_table_access_policy` or `set_table_access_policy` methods.
        
        ## 12.0.0 (2021-06-08)
        **Breaking**
        * EdmType.Binary data in entities will now be deserialized as `bytes` in Python 3 and `str` in Python 2, rather than an `EdmProperty` instance. Likewise on serialization, `bytes` in Python 3 and `str` in Python 2 will be interpreted as binary (this is unchanged for Python 3, but breaking for Python 2, where `str` was previously serialized as EdmType.String)
        * `TableClient.create_table` now returns an instance of `TableItem`.
        * All optional parameters for model constructors are now keyword-only.
        * Storage service configuration models have now been prefixed with `Table`, including
          `TableAccessPolicy`, `TableMetrics`, `TableRetentionPolicy`, `TableCorsRule`
        * All parameters for `TableServiceClient.set_service_properties` are now keyword-only.
        * The `credential` parameter for all Clients is now keyword-only.
        * The method `TableClient.get_access_policy` will now return `None` where previously it returned an "empty" access policy object.
        * Timestamp properties on `TableAccessPolicy` instances returned from `TableClient.get_access_policy` will now be deserialized to `datetime` instances.
        
        **Fixes**
        * Fixed support for Cosmos emulator endpoint, via URL/credential or connection string.
        * Fixed table name from URL parsing in `TableClient.from_table_url` classmethod.
        * The `account_name` attribute on clients will now be pulled from an `AzureNamedKeyCredential` if used.
        * Any additional odata metadata is returned in entity's metadata.
        * The timestamp in entity metadata is now deserialized to a timestamp.
        * If the `prefer` header is added in the `create_entity` operation, the echo will be returned.
        * Errors raised on a 412 if-not-match error will now be a specific `azure.core.exceptions.ResourceModifiedError`.
        * `EdmType.DOUBLE` values are now explicitly typed in the request payload.
        * Fixed de/serialization of list attributes on `TableCorsRule`.
        
        ## 12.0.0b7 (2021-05-11)
        **Breaking**
        * The `account_url` parameter in the client constructors has been renamed to `endpoint`.
        * The `TableEntity` object now acts exclusively like a dictionary, and no longer supports key access via attributes.
        * Metadata of an entity is now accessed via `TableEntity.metadata` attribute rather than a method.
        * Removed explicit `LinearRetry` and `ExponentialRetry` in favor of keyword parameter.
        * Renamed `filter` parameter in query APIs to `query_filter`.
        * The `location_mode` attribute on clients is now read-only. This has been added as a keyword parameter to the constructor.
        * The `TableItem.table_name` has been renamed to `TableItem.name`.
        * Removed the `TableClient.create_batch` method along with the `TableBatchOperations` object. The transactional batching is now supported via a simple Python list of tuples.
        * `TableClient.send_batch` has been renamed to `TableClient.submit_transaction`.
        * Removed `BatchTransactionResult` object in favor of returning an iterable of batched entities with returned metadata.
        * Removed Batching context-manager behavior
        * `EntityProperty` is now a NampedTuple, and can be represented by a tuple of `(entity, EdmType)`.
        * Renamed `EntityProperty.type` to `EntityProperty.edm_type`.
        * `BatchErrorException` has been renamed to `TableTransactionError`.
        * The `location_mode` is no longer a public attribute on the Clients.
        * The only supported credentials are `AzureNamedKeyCredential`, `AzureSasCredential`, or authentication by connection string
        * Removed `date` and `api_version` from the `TableItem` class.
        
        **Fixes**
        * Fixed issue with Cosmos merge operations.
        * Removed legacy Storage policies from pipeline.
        * Removed unused legacy client-side encryption attributes from client classes.
        * Fixed sharing of pipeline between service/table clients.
        * Added support for Azurite storage emulator
        * Throws a `RequestTooLargeError` on transaction requests that return a 413 error code
        * Added support for Int64 and Binary types in query filters
        * Added support for `select` keyword parameter to `TableClient.get_entity()`.
        * On `update_entity` and `delete_entity` if no `etag` is supplied via kwargs, the `etag` in the entity will be used if it is in the entity.
        
        ## 12.0.0b6 (2021-04-06)
        * Updated deserialization of datetime fields in entities to support preservation of the service format with additional decimal place.
        * Passing a string parameter into a query filter will now be escaped to protect against injection.
        * Fixed bug in incrementing retries in async retry policy
        
        ## 12.0.0b5 (2021-03-09)
        * This version and all future versions will require Python 2.7 or Python 3.6+, Python 3.5 is no longer supported.
        * Adds SAS credential as an authentication option
        * Bumps minimum requirement of `azure-core` to 1.10.0
        * Bumped minimum requirement of msrest from `0.6.10` to `0.6.19`.
        * Adds support for datetime entities with milliseconds
        * Adds support for Shared Access Signature authentication
        
        ## 12.0.0b4 (2021-01-12)
        * Fixes an [issue](https://github.com/Azure/azure-sdk-for-python/issues/15554) where `query_entities` kwarg `parameters` would not work with multiple parameters or with non-string parameters. This now works with multiple parameters and numeric, string, boolean, UUID, and datetime objects.
        * Fixes an [issue](https://github.com/Azure/azure-sdk-for-python/issues/15653) where `delete_entity` will return a `ClientAuthenticationError` when the '@' symbol is included in the entity.
        
        ## 12.0.0b3 (2020-11-12)
        * Add support for transactional batching of entity operations.
        * Fixed deserialization bug in `list_tables` and `query_tables` where `TableItem.table_name` was an object instead of a string.
        * Fixed issue where unrecognized entity data fields were silently ignored. They will now raise a `TypeError`.
        * Fixed issue where query filter parameters were being ignored (#15094)
        
        ## 12.0.0b2 (2020-10-07)
        * Adds support for Enumerable types by converting the Enum to a string before sending to the service
        
        ## 12.0.0b1 (2020-09-08)
        This is the first beta of the `azure-data-tables` client library. The Azure Tables client library can seamlessly target either Azure Table storage or Azure Cosmos DB table service endpoints with no code changes.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
