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PyCharm でCData ODBC Driver for Cassandra を使ってみた

Cassandra 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 Cassandra 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 Cassandra 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.

Cassandra 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.

Set the Server, Port, and Database connection properties to connect to Cassandra. Additionally, to use internal authentication set the User and Password connection properties.

Below is the syntax for a DSN:

[CData Cassandra Source] Driver = CData ODBC Driver for Cassandra Description = My Description Database = MyCassandraDB Port = 7000 Server = 127.0.0.1

Cassandra 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 Cassandra};Database = MyCassandraDB;Port = 7000;Server = 127.0.0.1;') cursor = cnxn.cursor() cursor.execute("SELECT City, TotalDue FROM Customer WHERE FirstName = 'Bob'") rows = cursor.fetchall() for row in rows: print(row.City, row.TotalDue)

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