You can configure how search works when you perform a fuzzy search query in a custom search tool. Fuzzy search queries look for approximate spellings that match the entered search string, and find matches if you misspell a term, or are uncertain of its spelling. For example, entering “tst" matches terms like "test," "tests," and so on, depending on how the fuzzy search parameters are set.
Before you begin: To access the Search landing page, you must have the
pxAccessSearchLP privilege, which is included in the
PegaRULES:SysAdm4 role.
For more information about how Elasticsearch implements fuzzy search queries, go to the
Elasticsearch website at elastic.co.
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In the header of Dev Studio, click .
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In the Settings section, in the Degree of
fuzziness field, select the edit distance, that is, the search string length
within which the approximate matching of characters occurs. If you select
Auto, the maximum edit distance is:
- 0 for strings of one or two characters.
- 1 for strings of three, four, or five characters.
- 2 for strings of more than five characters.
For example, performing a fuzzy search query for the term "catchr" with a degree of
fuzziness of 1, finds matches like "catch" (by deleting 1 character) and "catcher" (by
adding 1 character), but does not find matches like "catches" (by adding 1 character and
replacing 1, which adds up to an edit distance of 2).
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In the Prefix length field, enter the number of initial
characters in the entered string to which fuzzy matching does not apply, given that the
initial characters match exactly. Increasing this parameter value results in faster search
queries.
For example, performing a fuzzy search query for the term "windwo" with a prefix
length of 3, does not apply fuzzy search to the first 3 characters "win," and applies
fuzzy search to the rest of the characters to find matches like "window," "winter,"
"winner," and so on.
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In the Maximum expansion terms field, enter the number of
alternative spellings for the search string that you want to allow while searching.
Decreasing this parameter value results in faster search queries, but might not return as
many potential matches.
For example, performing a fuzzy search query for the term "codngi" with 2 maximum
expansion terms, finds only 2 matches like "code" and "coding".
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Click Save Settings.