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ETL EnterpriseDB in Oracle Data Integrator



This article shows how to transfer EnterpriseDB data into a data warehouse using Oracle Data Integrator.

Leverage existing skills by using the JDBC standard to read and write to EnterpriseDB: Through drop-in integration into ETL tools like Oracle Data Integrator (ODI), the CData JDBC Driver for EnterpriseDB connects real-time EnterpriseDB data to your data warehouse, business intelligence, and Big Data technologies.

JDBC connectivity enables you to work with EnterpriseDB just as you would any other database in ODI. As with an RDBMS, you can use the driver to connect directly to the EnterpriseDB APIs in real time instead of working with flat files.

This article walks through a JDBC-based ETL -- EnterpriseDB to Oracle. After reverse engineering a data model of EnterpriseDB entities, you will create a mapping and select a data loading strategy -- since the driver supports SQL-92, this last step can easily be accomplished by selecting the built-in SQL to SQL Loading Knowledge Module.

Install the Driver

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

  • UNIX/Linux without Agent: ~/.odi/oracledi/userlib
  • UNIX/Linux with Agent: $ODI_HOME/odi/agent/lib
  • Windows without Agent: %APPDATA%\Roaming\odi\oracledi\userlib
  • Windows with Agent: %APPDATA%\Roaming\odi\agent\lib

Restart ODI to complete the installation.

Reverse Engineer a Model

Reverse engineering the model retrieves metadata about the driver's relational view of EnterpriseDB data. After reverse engineering, you can query real-time EnterpriseDB data and create mappings based on EnterpriseDB 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 EnterpriseDB.
    • Technology: Select Generic SQL (for ODI Version 12.2+, select Microsoft SQL Server).
    • Logical Schema: Enter EnterpriseDB.
    • Context: Select Global.
  3. On the Data Server screen of the resulting dialog, enter the following information:
    • Name: Enter EnterpriseDB.
    • Driver List: Select Oracle JDBC Driver.
    • Driver: Enter cdata.jdbc.enterprisedb.EnterpriseDBDriver
    • URL: Enter the JDBC URL containing the connection string.

      The following connection properties are required in order to connect to data.

      • Server: The host name or IP of the server hosting the EnterpriseDB database.
      • Port: The port of the server hosting the EnterpriseDB database.

      You can also optionally set the following:

      • Database: The default database to connect to when connecting to the EnterpriseDB Server. If this is not set, the user's default database will be used.

      Connect Using Standard Authentication

      To authenticate using standard authentication, set the following:

      • User: The user which will be used to authenticate with the EnterpriseDB server.
      • Password: The password which will be used to authenticate with the EnterpriseDB server.

      Connect Using SSL Authentication

      You can leverage SSL authentication to connect to EnterpriseDB data via a secure session. Configure the following connection properties to connect to data:

      • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
      • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
      • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
      • SSLClientCertType: The certificate type of the client store.
      • SSLServerCert: The certificate to be accepted from the server.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.enterprisedb.jar

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

      Below is a typical connection string:

      jdbc:enterprisedb:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5444
  4. On the Physical Schema screen, enter the following information:
    • Name: Select from the Drop Down menu.
    • Database (Catalog): Enter CData.
    • Owner (Schema): If you select a Schema for EnterpriseDB, enter the Schema selected, otherwise enter EnterpriseDB.
    • Database (Work Catalog): Enter CData.
    • Owner (Work Schema): If you select a Schema for EnterpriseDB, enter the Schema selected, otherwise enter EnterpriseDB.
  5. In the opened model click Reverse Engineer to retrieve the metadata for EnterpriseDB tables.

Edit and Save EnterpriseDB Data

After reverse engineering you can now work with EnterpriseDB data in ODI. To edit and save EnterpriseDB data, 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.

Create an ETL Project

Follow the steps below to create an ETL from EnterpriseDB. You will load Orders 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 Orders table in EnterpriseDB: CREATE TABLE ODI_DEMO.TRG_ORDERS (SHIPCITY NUMBER(20,0),ShipName 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_ORDERS 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_ORDERS table from the Sales Administration model onto the mapping.
  7. Drag the Orders table from the EnterpriseDB 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 ORDERS_AP in TARGET_GROUP.
  10. In the ORDERS_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load EnterpriseDB data into Oracle.