FileNet P8 Platform, Version 5.2.1   Database:  DB2 LUW          

DB2 for Linux, UNIX and Windows database planning

Determine whether IBM® DB2® for Linux, UNIX and Windows database components will be dedicated to individual FileNet® P8 components or shared and review other IBM DB2 for Linux, UNIX and Windows database requirements.

In a shared configuration, multiple FileNet P8 components can store their data in a single database. Most components allow for data to be collocated. However, the best practice is to keep some in dedicated databases:
When you make the decision about whether to share a database for multiple components, consider the following factors:

DB2 for Linux, UNIX and Windows version 9.7 is required for workflow system data to support GB18030 character sets.

IBM FileNet P8 does not support partitioned DB2 databases or databases created with the RESTRICTIVE clause (or, from the Control Center, with Restrict access to system catalogs selected in the Create Database Wizard).

Plan to use automatic storage for table spaces. For performance reasons, IBM recommends that you create table spaces using automatic storage, rather than database managed or system managed table spaces.

Plan to use SERVER authentication.

Set the DB2 codeset to UTF-8.

Set the page size to 32 KB.

Determine the maximum size of the content elements your users store. The size affects setting up database storage areas or file storage areas. When you create an object store, a database storage area is provided by default, allowing you to store content as database BLOBs. You can also create one or more file storage areas to store content on local or remote file systems. If your users store large individual documents or other content elements, use only file storage areas. Otherwise, users can encounter memory-related errors when retrieving or indexing the large content.

Important: Controlled tests with limited concurrency exhibited errors when run with files that were 300 MB or larger. Factors affecting this file-size limitation include driver and application server memory demands, other activity such as concurrent retrieval or indexing of large content, and JVM memory allocations.


Last updated: March 2016
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