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PyCharm でCData ODBC Driver for Amazon DynamoDB を使ってみた

Amazon DynamoDB 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 Amazon DynamoDB 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 Amazon DynamoDB 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.

Amazon DynamoDB 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.

The connection to Amazon DynamoDB is made using your AccessKey, SecretKey, and optionally your Domain and Region. Your AccessKey and SecretKey can be obtained on the security credentials page for your Amazon Web Services account. Your Region will be displayed in the upper left-hand corner when you are logged into DynamoDB.

Below is the syntax for a DSN:

[CData AmazonDynamoDB Source] Driver = CData ODBC Driver for Amazon DynamoDB Description = My Description Access Key = xxx Secret Key = xxx Domain = amazonaws.com Region = OREGON

Amazon DynamoDB 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 AmazonDynamoDB};Access Key = xxx;Secret Key = xxx;Domain = amazonaws.com;Region = OREGON;') cursor = cnxn.cursor() cursor.execute("SELECT Industry, Revenue FROM Lead WHERE FirstName = 'Bob'") rows = cursor.fetchall() for row in rows: print(row.Industry, row.Revenue)

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