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

Degree of Parallelism

Degree of Parallelism

In general, the possible degree of parallelism depends on the following factors:
  • The number of CPUs available on the database server. Use the following query to find out about the number of CPUs available to an Oracle instance:
    select value from v$parameter where name = 'cpu_count';
  • The setting of the parallel_max_servers initialization parameter. Use the following query to check the current setting:
    select value from v$parameter where name = 'parallel_max_servers';
  • Set this parameter to at least twice the value of the degree of parallelism chosen. For example, to execute a delete statement with a degree of 8, Oracle needs to spawn 16 parallel threads, where 8 threads work on the necessary select to retrieve the rows and 8 perform the delete.