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Audience: Group Wise 5.x, and 6.x Administrators Purpose: Enabling Quick Finder Indexing and Speeding up Quick Finder Indexing I have had occasion to go to a customer site to resolve performance issues on a Group Wise post office.

We uncovered the fact that Quick Finder Indexing was not running.

Administrators using this guide should consult product documentation, technical information documents (TIDs), and online help for further instruction regarding each of the guidelines offered here.

This guide is based on the Group Wise 6.5 Best Practises Guide and is intended to carry out the promise of being the living document spoken of during the introduction.

Startup switches are available for temporary use in the POA startup file to customize the way the POA handles indexing.

In general, they are not intended for long-term use.

Group Wise Quick Finder Indexing Group Wise 5.x, 6.x Indexing Group Wise will automatically index the property sheet information and the full-text of all documents stored in libraries, in addition to items found in users mailboxes. More information on "wordlist" files is contained in the next section.Being part of the Novell wiki, you can play a part in modifying this content with your experiences.We recognize that administrators are often restricted in the changes they may make to their Group Wise Systems.The indexing process can potentially take a lot of CPU overhead which can degrade the performance of the POA. When the POA indexes a user's database on demand, the efforts of the POA to index the user's database are not saved.They are discarded, which means when the user uses the Find feature again, the POA must perform the real-time search and indexing process.Occasionally, circumstances arise where indexing needs are especially heavy for a short period of time.This can occur when you move users to a different post office or if the Quick Finder indexes for a post office become damaged.We will now explain the indexing and searching processes, Post Office Agent (POA) issues, guidelines for optimizing this process, and various physical configuration options. The indexer will open the file and look at the header to determine the file type. INC files, the compression does not necessarily remove all *. The Indexing Process All information pertaining to documents in a Group Wise library is completely indexed.Your basic desktop applications such as Word and Word Perfect have filters that we will apply before indexing. This information includes; property sheet information (subject, author, version descriptions, custom fields, etc.) and the actual full-text of documents.TODO: Provide a worksheet or at least an example showing how much each of these factors affect the requirements.The amount of memory required for the MTA is influenced by many factors, including the following: TODO: Provide a worksheet or at least an example showing how much each of these factors affect the requirements.Depending on the state of the existing Novell Group Wise system, some of the practices outlined in this document may be difficult or cost-ineffective to implement.Use these guidelines wherever possible in expanding systems or creating new systems, but temper their application with your experience and knowledge of your organization's unique computing environment. You may also refer to the many Novell partners for more information, tools, and services.This keeps us from indexing headers and other forms of data that would not be searched on. INC files are essentially the same format as the *. During the indexing process, the POA indexes documents at regular intervals. All indexing is performed by the Post Office Agent (POA) running on either Net Ware, or Windows NT. The POA will check this queue at regular intervals and index all items found.If we can't find the file format we will determine whether or not it is an ASCII file. Rather than compressing all new information into each *. INC file is backed up and new information is appended to the original file. The following steps describe the indexing process:1. The actual indexing process for new documents involves physically reading through each document, creating an index for each word found, and generating a "wordlist" file.




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