Searching the Help
To search for information in the Help, type a word or phrase in the Search box. When you enter a group of words, OR is inferred. You can use Boolean operators to refine your search.
Results returned are case insensitive. However, results ranking takes case into account and assigns higher scores to case matches. Therefore, a search for "cats" followed by a search for "Cats" would return the same number of Help topics, but the order in which the topics are listed would be different.
Search for | Example | Results |
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A single word | cat
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Topics that contain the word "cat". You will also find its grammatical variations, such as "cats". |
A phrase. You can specify that the search results contain a specific phrase. |
"cat food" (quotation marks) |
Topics that contain the literal phrase "cat food" and all its grammatical variations. Without the quotation marks, the query is equivalent to specifying an OR operator, which finds topics with one of the individual words instead of the phrase. |
Search for | Operator | Example |
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Two or more words in the same topic |
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Either word in a topic |
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Topics that do not contain a specific word or phrase |
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Topics that contain one string and do not contain another | ^ (caret) |
cat ^ mouse
|
A combination of search types | ( ) parentheses |
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Search order
Queries are more efficient when the query searches the most restricting field first. The most restricting field is the one that returns the fewest results. For example, suppose you create a query that searches for operators who work at the company Advantage (company="Advantage"
) and whose contact name starts with the letter A (contact.name#A
). If there are more people who work at the company Advantage than whose names starts with the letter A, then the starts with query (contact.name#A
) is the more restricting query. In this case, the following query is the most efficient:
contact.name#A and company="Advantage"
If you do not know your data well or you expect it to change frequently, you may instead want to order your query by how the fields are listed in table's DBDICT record. For example, in the contacts table, contact.name
is the first field listed. Queries against the contact.name
field are more likely to be efficient than fields listed later in the DBDICT record.
Your database administrator should regularly review the sm.alert.log for messages about inefficient queries. You may want to rewrite or remove any inefficient queries.
We welcome your comments!
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