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PyCharm でCData ODBC Driver for Act-On を使ってみた

Act-On 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 Act-On 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 Act-On 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.

Act-On 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.

ActOn uses the OAuth authentication standard. To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties.

See the Getting Started guide in the CData driver documentation for more information.

Below is the syntax for a DSN:

[CData ActOn Source] Driver = CData ODBC Driver for Act-On Description = My Description

Act-On 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 ActOn};') cursor = cnxn.cursor() cursor.execute("SELECT Id, Name FROM Images WHERE FolderName = 'New Folder'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Name)

After connecting to Act-On in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Act-On 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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