Thank you very much for your suggestion both of you.
I will try more to figure out which way will be match with my case.
Chun.
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Unfortunately Solr and Lucene do not provide a truly clean out of the box
solution for this obvious use case, but you can approximate it by using
index-time synonyms, so that "mac book" will also index as "macbook" and
"macbook" will also index as "mac book". Your SYNONYMS.TXT file would
contai
Hi Chun,
You can use the edge ngram filter [1] on your tokens, that will produce all
possible letter sequences in a certain (configurable) range, like: ma, ac,
bo, ok, mac, aac, boo, ook, book etc.
Then when querying, both mac and book should hit in the sequence and you
should get the macbook hit
