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 HBase 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 HBase as well as PyCharm.
Follow the steps below to add the pyodbc module to your project.
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 Port and Server to connect to Apache HBase.
Below is the syntax for a DSN:
[CData ApacheHBase Source]
Driver = CData ODBC Driver for HBase
Description = My Description
Server = 127.0.0.1
Port = 8080
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 ApacheHBase};Server = 127.0.0.1;Port = 8080;')
cursor = cnxn.cursor()
cursor.execute("SELECT CustomerName, Price FROM Customers WHERE ShipCity = 'New York'")
rows = cursor.fetchall()
for row in rows:
print(row.CustomerName, row.Price)
After connecting to HBase in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to HBase 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.