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
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A combination of search types | ( ) parentheses |
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New array query performance
Suppose we re-use the same Service Manager expert search from the Search Interaction Records form.
assignment.groups="Application"
Service Manager generates a new SQL statement that joins the main and alias tables:
SELECT m1."NAME" FROM HPOPERATORM1 m1 JOIN HPOPERATORA6 a6 ON (m1."NAME" = a6."NAME") WHERE ((a6."ASSIGNMENT_GROUPS"='Application'));
The join statement requires some additional system resources that the old query did not, however since the ASSIGNMENT_GROUPS column is now a simple character data type, the RDBMS can query the field directly. While the query still returns the same 18 sample operator records, this time it does not have to forward any rows to Service Manager for evaluation. Nor does running this query generate performance warning messages. This means that the new query is more efficient despite the added overhead of a join statement.
We welcome your comments!
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