Ready to get started?

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

Download Now

Oracle Data Integrator ETL からJSON データ連携

この記事では、Oracle Data Integratorを使用してJSON services をデータウェアハウスに転送する方法を説明します。

JSON への読み書きにJDBC 標準を使用して既存のスキルを活用します。 CData JDBC Driver for JSON は、Oracle Data Integrator(ODI)などのETL ツールへの統合によって、リアルタイムのJSON services をデータウェアハウス、ビジネスインテリジェンス、およびビッグデータテクノロジに連携します。

JDBC 接続を使用すると、ODI 内の他のデータベースと同じようにJSON を使用できます。RDBMS やフラットファイルを使用する代わりに、ドライバーを使用してリアルタイムでJSON API に直接連携できます。

ここでは、JDBC を利用したJSON - Oracle のETL 連携を行います。JSON エンティティのデータモデルをリバースエンジニアリングした後、マッピングを作成してだdata loading strategy を選択します。ドライバーはSQL-92 をサポートしているため、この最後の手順は組み込みSQL からSQL Loading を選択することで簡単に行えます。

ドライバーをインストール

To install the driver, copy the driver JAR and .lic file, located in the installation folder, into the ODI userlib directory:

On Unix: ~/.odi/oracledi/userlib On Windows: %APPDATA%\Roaming\odi\oracledi\userlib

Restart ODI to complete the installation.

モデルのリバースエンジニアリング

Reverse engineering the model retrieves metadata about the driver's relational view of JSON services.After reverse engineering, you can query real-time JSON services and create mappings based on JSON tables.

  1. In ODI, connect to your repository and click New -> Model and Topology Objects.
  2. On the Model screen of the resulting dialog, enter the following information:
    • Name:Enter JSON.
    • Technology:Select Generic SQL.
    • Logical Schema:Enter JSON.
    • Context:Select Global.
  3. On the Data Server screen of the resulting dialog, enter the following information:
    • Name:Enter JSON.
    • Driver List:Select Oracle JDBC Driver.
    • Driver:Enter cdata.jdbc.json.JSONDriver
    • URL:Enter the JDBC URL containing the connection string.

      See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and 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 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 JSON 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 JSON 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 JSON JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.json.jar

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

      Below is a typical connection string:

      jdbc:json:URI=C:\people.json;DataModel=Relational;
  4. On the Physical Schema screen, enter the following information:
    • Schema (Schema):Enter JSON.
    • Schema (Work Schema):Enter JSON.
  5. In the opened model click Reverse Engineer to retrieve the metadata for JSON tables.

JSON Services を編集して保存

After reverse engineering you can now work with JSON services in ODI. To edit and save JSON services, expand the Models accordion in the Designer navigator, right-click a table, and click Data.Click Refresh to pick up any changes to the data.Click Save Changes when you are finished making changes.

ETL プロジェクトを作成

Follow the steps below to create an ETL from JSON.You will load people entities into the sample data warehouse included in the ODI Getting Started VM.

  1. Open SQL Developer and connect to your Oracle database.Right-click the node for your database in the Connections pane and click new SQL Worksheet.

    Alternatively you can use SQLPlus.From a command prompt enter the following:

    sqlplus / as sysdba
  2. Enter the following query to create a new target table in the sample data warehouse, which is in the ODI_DEMO schema.The following query defines a few columns that match the people table in JSON: CREATE TABLE ODI_DEMO.TRG_PEOPLE ([ PERSONAL.NAME.LAST ] NUMBER(20,0),[ personal.name.first ] VARCHAR2(255));
  3. In ODI expand the Models accordion in the Designer navigator and double-click the Sales Administration node in the ODI_DEMO folder.The model is opened in the Model Editor.
  4. Click Reverse Engineer.The TRG_PEOPLE table is added to the model.
  5. Right-click the Mappings node in your project and click New Mapping.Enter a name for the mapping and clear the Create Empty Dataset option.The Mapping Editor is displayed.
  6. Drag the TRG_PEOPLE table from the Sales Administration model onto the mapping.
  7. Drag the people table from the JSON model onto the mapping.
  8. Click the source connector point and drag to the target connector point.The Attribute Matching dialog is displayed.For this example, use the default options.The target expressions are then displayed in the properties for the target columns.
  9. Open the Physical tab of the Mapping Editor and click PEOPLE_AP in TARGET_GROUP.
  10. In the PEOPLE_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load JSON services into Oracle.

 
 
ダウンロード