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PyCharm でCData ODBC Driver for Cosmos DB を使ってみた

Cosmos DB にODBC データソースとしてPyCharm から連携。

CData ODBC Drivers は、ODBC をサポートするあらゆる環境から利用可能です。 本記事では、PyCharm からのCData ODBC Driver for Cosmos DB の利用を説明します。ODBC Deriver をデータソースとして設定する方法、データソースをクエリするPyCharm のベーシックな方法を含みます。

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Cosmos DB as well as PyCharm.

Pyodbc をプロジェクトに追加

Follow the steps below to add the pyodbc module to your project.

  1. Click File -> Settings to open the project settings window.
  2. Click Project Interpreter from the Project: YourProjectName menu.
  3. To add pyodbc, click the + button and enter pyodbc.
  4. Click Install Package to install pyodbc.

Cosmos DB への接続

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

To obtain the connection string needed to connect to a Cosmos DB account using the SQL API, log in to the Azure Portal, select Azure Cosmos DB, and select your account. In the Settings section, click Connection String and set the following values:

  • AccountEndpoint: The Cosmos DB account URL from the Keys blade of the Cosmos DB account
  • AccountKey: In the Azure portal, navigate to the Cosmos DB service and select your Azure Cosmos DB account. From the resource menu, go to the Keys page. Find the PRIMARY KEY value and set AccountKey to this value.

Below is the syntax for a DSN:

[CData CosmosDB Source] Driver = CData ODBC Driver for Cosmos DB Description = My Description AccountEndpoint = myAccountEndpoint AccountKey = myAccountKey

Cosmos DB へのクエリの実行

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for CosmosDB};AccountEndpoint = myAccountEndpoint;AccountKey = myAccountKey;') cursor = cnxn.cursor() cursor.execute("SELECT City, CompanyName FROM Customers WHERE Name = 'Morris Park Bake Shop'") rows = cursor.fetchall() for row in rows: print(row.City, row.CompanyName)

After connecting to Cosmos DB in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Cosmos DB data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.

 
 
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