Searching for Documents

enaio® client 10.10 »

Unlike searches for folders and registers, queries for documents may be carried out with multiple search forms (see Combined Queries).

Before starting the query, you can calculate the number of hits via the context menu of the search form which allows you to determine if your search criteria are precise enough to limit the size of the hit list.

You can sort the hit list.

You can configure which fields of the index data form will be displayed as columns in a hit list (see Settings for the Hit List).

Folder Types and Document Types

Documents are always located in a folder. If you want to search for a document, you will need to open the folder type in which the document is located in the object search. You cannot run a document query across multiple folder types.

Documents always have a document type. When running a document query, you will also need to select a document type in the object search form.

When you open a search form, the Index data ribbon tab is opened. The ribbon provides the following functions:

If you choose the Folder list option in the Query behavior area (see 'Query behavior' area ), you will be shown a list of folders in which the queried documents are found. If you select the Register list option, you will receive a list of registers in which the queried documents can be found.

Full-Text Document Types

The search form of document types for which full-text indexing has been configured contains an additional area for full-text queries.

Searches – Report

In the 'Full text' area, you can enter the terms to be searched for in the full-text index. You can combine terms logically and use placeholders (see Full-Text Searches – Combinations and Placeholders).

Click the Help – icon Help button in the Full text area to read a description of how to combine search terms with placeholders.

Queries using index data and queries using the full-text index are combined using the logical AND.

Based on the configuration, the full-text index contains all terms from the documents' content, all terms from the index data, or both.