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 Streak 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 Streak 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.
- Click File -> Settings to open the project settings window.
- Click Project Interpreter from the Project: YourProjectName menu.
- To add pyodbc, click the + button and enter pyodbc.
- Click Install Package to install pyodbc.
Streak 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.
Use the following steps to generate a new API key for authenticating to Streak.
- Navigate to Gmail
- Click on the Streak dropdown to the right of the search bar
- Select the Integrations button. This will open a window where you can view existing integrations and create new API keys.
- Under the Streak API section of integrations, click the button to Create New Key.
Below is the syntax for a DSN:
[CData Streak Source]
Driver = CData ODBC Driver for Streak
Description = My Description
ApiKey = 8c84j9b4j54762ce809ej6a782d776j3
Streak 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 Streak};ApiKey = 8c84j9b4j54762ce809ej6a782d776j3;')
cursor = cnxn.cursor()
cursor.execute("SELECT UserKey, Email FROM Users WHERE Email = 'user@domain.com'")
rows = cursor.fetchall()
for row in rows:
print(row.UserKey, row.Email)
After connecting to Streak in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Streak 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.