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.
Words and Phrases
| Search for | Example | Results |
|---|---|---|
| A single word | cat
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Topics that contain the word "cat". You will also find its grammatical variations, such as "cats". |
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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. |
Using Boolean Operators
| Search for | Operator | Example |
|---|---|---|
|
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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Tuning: Key selection algorithms
A key selection algorithm selects a key to perform a query based on the order of the fields in the query expression, and the order of the fields in the keys defined in the dbdict. The system then assigns a weight to each key based on the order in which the fields appear in the query for the key, and the order in which they appear in the query and key. For example, if the first field in a key matches the first field in the query, Service Manager assigns that key a higher weight than one that has that field as the second field in the key. The system makes the decision for all fields in the query and keys.
Example query and keys:
query: a=1 and b=2 and c=3 and d=4 key1: b,c,d key2: a,c,d key3: a,b key4: a
In this example, the key selection algorithm selects key3. The next highest weight is key2, followed by key4 and key1. The new key selection is based on the location database dictionary record with the keys {location}, {location,state}, {location,city}, {location.name,location}, and {location.code}.
Related topics
Key type definitions
Tuning: Designing keys for queries
Tuning: Improving query speed
Tuning: Number of fields in files
