
SHAP-explained models with Automated Predictive (APL). RISE with SAP: ‘Defence in Depth’ Security Archite. Based on the fuzzy search factor (which is 0.7 in this case), it will also consider the similar words. The output of fuzzy search contains 5 entries. COMPANIESįUZZY(0.7,'textSearch=compare,bestMatchingTokenWeight=0.7')) A record like "BSAP Corp" gets a lower score, because 'SAP' is only a part of the longer term 'BSAP Corp'.ĬOMPANY_NAME SHORTTEXT(200) FUZZY SEARCH INDEX ON) When searching with 'SAP', a record like 'SAP AG' gets a high score, because the term 'SAP' exists in the texts. So not only does it find a "fault tolerant" match, it also puts a score behind it. When a fuzzy search of multiple columns is used in a SELECT statement, the score is returned as an average of the scores of all columns used. You can sort the results of a query by score in descending order to get the best records first (the best record is the record that is most similar to the user input). You can request the score in the SELECT statement by using the SCORE() function. A score of 0.0 means the strings have nothing in common.
A score of 1.0 means the strings are identical. The higher the score, the more similar the strings are. The fuzzy search algorithm calculates a fuzzy score for each string comparison. In SAP HANA, you can call the fuzzy search by using the CONTAINS predicate with the FUZZY option in the WHERE clause of a SELECT statement.Ī search with FUZZY(x) returns all values that have a fuzzy score greater than or equal to x. If a user types "SAP HANA Tutorl" into Yahoo or Google (both of which use fuzzy matching), a list of hits is returned along with the question, "Did you mean "SAP HANA Tutorial"?" With the help of Fuzzy Search Misspellings and typos still provide relevant results.
It is a type of search that will find matches even when users misspell words or enter in only partial words for the search.
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How to Implement Fuzzy Search in SAP HANA?Īlso known as approximate string matching.įuzzy search is the technique of finding strings that match a pattern approximately (rather than exactly).Real Time Example of Fuzzy Search Based Applications.