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Frequently Asked Questions
Why are there results with a score lower than the requested fuzzySimilarity?
In text fields, the parameter fuzzySimilarity sets the minimum similarity that a token has to match to be included
in the search result. All other fuzzy search operations (for example, applying term mappings, considering
stopwords, abbreviationSimilarity) can influence the score that you will see.
How many misspellings are allowed with a particular fuzzySimilarity?
This question is not easy to answer. The scoring algorithm is not linear to the number of misspellings; the position
of the misspelling is also important. You can use the following example to familiarize yourself with it.
DROP TABLE test;
CREATE COLUMN TABLE test
(
id INTEGER PRIMARY KEY,
companyname SHORTTEXT(200) FUZZY SEARCH INDEX ON
);
INSERT INTO test VALUES ('1','abc');
INSERT INTO test VALUES ('2','abx');
INSERT INTO test VALUES ('3','xbc');
INSERT INTO test VALUES ('4','axc');
INSERT INTO test VALUES ('5','abcx');
INSERT INTO test VALUES ('6','xabc');
SELECT TO_DECIMAL(SCORE(),3,2) AS score, * FROM test
WHERE CONTAINS(companyname, 'abc',
FUZZY(0.5,'textSearch=compare,bestMatchingTokenWeight=1'))
ORDER BY score DESC, id;
SCORE ID COMPANYNAME
1 1 abc
0.89 5 abcx
0.82 2 abx
0.75 6 xabc
0.61 3 xbc
0.61 4 axc
SELECT TO_DECIMAL(SCORE(),3,2) AS score, * FROM test
WHERE CONTAINS(companyname, 'abcx',
FUZZY(0.5,'textSearch=compare,bestMatchingTokenWeight=1'))
ORDER BY score DESC, id;
SCORE ID COMPANYNAME
1 5 abcx
0.89 1 abc
306
P U B L I C
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SAP HANA Developer Guide
Enabling Search