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

Impala 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 Impala 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 Impala 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.

Impala 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.

In order to connect to Apache Impala, set the Server, Port, and ProtocolVersion. You may optionally specify a default Database. To connect using alternative methods, such as NOSASL, LDAP, or Kerberos, refer to the online Help documentation.

Below is the syntax for a DSN:

[CData ApacheImpala Source] Driver = CData ODBC Driver for Impala Description = My Description Server = 127.0.0.1 Port = 21050

Impala 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 ApacheImpala};Server = 127.0.0.1;Port = 21050;') cursor = cnxn.cursor() cursor.execute("SELECT City, CompanyName FROM Customers WHERE Country = 'US'") rows = cursor.fetchall() for row in rows: print(row.City, row.CompanyName)

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