Ready to get started?

Learn more about the CData ODBC Driver for Elasticsearch or download a free trial:

Download Now

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

Elasticsearch 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 Elasticsearch 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 Elasticsearch 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.

Elasticsearch 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 and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

Below is the syntax for a DSN:

[CData Elasticsearch Source] Driver = CData ODBC Driver for Elasticsearch Description = My Description Server = 127.0.0.1 Port = 9200 User = admin Password = 123456

Elasticsearch 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 Elasticsearch};Server = 127.0.0.1;Port = 9200;User = admin;Password = 123456;') cursor = cnxn.cursor() cursor.execute("SELECT OrderName, Freight FROM Orders WHERE ShipCity = 'New York'") rows = cursor.fetchall() for row in rows: print(row.OrderName, row.Freight)

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

 
 
ダウンロード