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The decision if two terms are equal is based on the term representation stored in the column dictionary.
Therefore the spellCheckFactor option works differently on string and text columns, as described in the
following sections.
● B) The fuzzy search can return a 100% match for terms that are not identical but can't be differentiated by
the fuzzy-string-compare algorithm.
For example, fuzzy search can't differentiate between terms 'abaca' and 'acaba', for example. In this case, the
spellCheckFactor can be used to avoid a score of 1.0.
When A) and B) are not needed by an application, you can set the spellCheckFactor to 1.0 to disable the feature.
Standardization of Letters and Terms
All characters are replaced by a lowercase character without any diacritics before the fuzzy comparison takes
place. This is called standardization. So it is possible to get a 100% match when comparing two unequal terms,
because the standardization process returned two identical terms.
Standardization Examples
Original Letter Standardized Letter
E e
e e
É e
é e
Ė e
ė e
The letter i is treated differently as it is not standardized to an ı as would be the 'standard' rule.
Original Letter Standardized Letter
I i
İ i
i i
ı i
German umlauts are replaced by two characters.
Original Letter Standardized Letter
Ä ae
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SAP HANA Developer Guide
Enabling Search