Table of Contents

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  1. Preface
  2. Backing Up and Restoring the Data Vault
  3. Configuring Centera as a Remote Data Vault Store
  4. Configuring Data Archive for a Legacy Source Using Legacy Adapters
  5. Data Archive Seamless Access for PeopleSoft
  6. Data Archive Transaction Restore API
  7. Dropping and Truncating Partitions in Data Archive
  8. High Availability Configuration for the Data Archive and File Archive Service Versions 6.1 to 6.3
  9. 0955-High Availability Configuration for the Data Vault Version 6.4 and Later
  10. How to Create Business Rules to Archive and Purge Transactional Data
  11. How to Uninstall Data Archive 5.1
  12. How to Uninstall Data Archive 5.3
  13. How to Use Scripts to Change Database User Passwords in the ILM Repository
  14. IBM DB2 Database Connectivity and Setup for Data Archive
  15. Installing Data Visualization
  16. Integrating Third-Party Schedulers in ILM Engine
  17. Parallel Processing in Data Archive
  18. Seamless Access Configuration for Siebel Applications
  19. Seamless Access Setup for Oracle E-Business Suite
  20. Using the Data Vault Service JDBC Driver to Connect to the Data Vault
  21. Using Multiple Engines in an ILM Environment
  22. Using PowerExchange ODBC Connections in a Data Archive Retirement Project
  23. Discovering Foreign Key Relationships in Enterprise Data Manager

Data Archive How-To Guide

Data Archive How-To Guide

Java Parallelism - Processing Multiple Tables Simultaneously

Java Parallelism - Processing Multiple Tables Simultaneously

The Data Archive engine can process multiple tables simultaneously depending on the step executed and the value of the corresponding Degree of Parallelism attribute.
The maximum number of concurrent processes or threads depends on the value of the informia.maxActiveAMThread property. Set this property in the conf.properties file located in the web server root directory. Default is 10. This property is a system-wide setting. It does not apply to a single archive cycle. It limits the total number of java threads the Data Archive engine executes in parallel.
Use the following URL to see all active and pending threads in the Data Archive thread queue manager:
http://<hostname>:port/jsp/tqm.jsp