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- Extract Development - Data Collection Service (DCS) Extractor
- Getting Started with Data Collection Service (DCS) Extractor
- Extractor
- Integration Architecture
- Extractor Prerequisite
- Step by Step Development of a Java-based Extractor
- 1. Create a Content Pack with IDE
- 2. Unzip, deploy, and install the Content Pack in BA
- 3. Create a Java Project and Include Dependencies
- 4. Implement the Extractor
- 5. Create a Unit Test to Check the Extractor
- 6. Package the Extractor as a JAR File
- 7. Copy and Deploy the Extractor
- 8. Modify the extractor_manifest.xml File
- 9. Add a New Data Source for the Content Pack in BA
- 10. Run ETL
- Extractor API
- Out-of-the-Box General Extractors
- Configure the Connect Data Source UI for BA Integration
Out-of-the-Box General Extractors
A base extractor is provided to extend all general extractors. General extractors for typical databases like MySQL, DB2, MSSQL, Oracle, PostgreSQL, and Vertica are provided within the DCS framework. They provide the most common functionality for the extraction. You can customize extractors by extending the base extractor itself.
You can simply define the following extractor_manifest.xml file to use the general SQL extractor:
<?xml version="1.0" encoding="UTF-8" standalone="yes"?> <extractors> <extractor> <productName>TEST</productName> <dataSourceType>oracle</dataSourceType> <productVersion>1.0</productVersion> <className>com.hp.itba.dwh.extractor.common.sql.SqlExtractor</className> <extractorVersion>1.0</extractorVersion> <extractorPath>.</extractorPath> </extractor> </extractors>
where dataSourceType can be one of the following: mysql, db2, mssql, oracle, or postgresql.
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