Ready to get started?

Learn more about the CData JDBC Driver for REST or download a free trial:

Download Now

RESTData のPostgreSQL インターフェース

REST JDBC Driver のRemoting 機能を使用して、データアクセス用のPostgreSQL エントリポイントを作成します。

インターネット上には利用可能な膨大な数のPostgreSQL クライアントがあります。標準のドライバーからBI および分析ツールまで、PostgreSQL はデータアクセスのための人気の高いインタフェースです。 JDBC ドライバーを使用して、標準クライアントから接続できるPostgreSQL エントリポイントを作成することができます。

PostgreSQL データベースとしてREST data にアクセスするには、CData JDBC Driver for REST とJDBC 外部データラッパー(FDW)を使用します。ここでは、FDW をコンパイルしてインストールし、PostgreSQL サーバーからREST data をクエリします。

JDBC データソースにREST Data を設定

To connect to REST as a JDBC data source, you will need the following:

  • Driver JAR path: The JAR is located in the lib subfolder of the installation directory.
  • Driver class: cdata.jdbc.rest.RESTDriver

  • JDBC URL: The URL must start with "jdbc:rest:" and can include any of the connection properties in name-value pairs separated with semicolons.

    See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models REST APIs as bidirectional database tables and XML/JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

    After setting the URI and providing any authentication values, set Format to "XML" or "JSON" and set DataModel to more closely match the data representation to the structure of your data.

    The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

    • Document (default): Model a top-level, document view of your REST data. The data provider returns nested elements as aggregates of data.
    • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
    • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

    See the Modeling REST Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

    ビルトイン接続文字列デザイナー

    For assistance in constructing the JDBC URL, use the connection string designer built into the REST JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.rest.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    A typical JDBC URL is below:

    jdbc:rest:DataModel=Relational;URI=C:\people.xml;Format=XML;

JDBC Foreign Data Wrapper をビルド

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL.The jdbc2_fdw extension is used as an example.

  1. Add a symlink from the shared object for your version of the JRE to /usr/lib/libjvm.so.For example: ln -s /usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server/libjvm.so /usr/lib/libjvm.so
  2. Start the build: make install USE_PGXS=1

REST Data をPostgreSQL データベースとしてクエリ

After you have installed the extension, follow the steps below to start executing queries to REST data:

  1. Log into your database.
  2. Load the extension for the database: CREATE EXTENSION jdbc2_fdw;
  3. Create a server object for REST: CREATE SERVER REST FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS ( drivername 'cdata.jdbc.rest.RESTDriver', url 'jdbc:rest:DataModel=Relational;URI=C:\people.xml;Format=XML;', querytimeout '15', jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.rest.jar');
  4. Create a user mapping for the username and password of a user known to the MySQL daemon. CREATE USER MAPPING for postgres SERVER REST OPTIONS ( username 'admin', password 'test');
  5. Create a foreign table in your local database: postgres=# CREATE FOREIGN TABLE people ( people_id text, people_[ personal.name.first ] text, people_[ personal.name.last ] numeric) SERVER REST OPTIONS ( table_name 'people');
You can now execute read/write commands to REST: postgres=# SELECT * FROM people;
 
 
ダウンロード