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    <p>To make Solr find documents for word parts, you need to have a look at <a href="https://cwiki.apache.org/confluence/display/solr/Tokenizers#Tokenizers-N-GramTokenizer" rel="nofollow noreferrer">the NGramTokenizer</a> or <a href="https://cwiki.apache.org/confluence/display/solr/Tokenizers#Tokenizers-EdgeN-GramTokenizer" rel="nofollow noreferrer">the Edge NGramTokenizer</a>. As you are required to match parts of the word within the middle of it, you should have a look at the NGramTokenizer. If the start and end of the word would do, the EdgeNGram would be favourable, as it is smaller in index terms.</p> <p>A good sample is found here on SO within the question <a href="https://stackoverflow.com/questions/1974394/apache-solr-search-part-of-the-word">Apache solr search part of the word</a>.</p> <p><strong>Why Indexing over query time?</strong> </p> <p>Lucene and as such Solr are not meant to do searches with leading wildcards. So even search for <code>*foo</code> is likely to cause bad performance. Not to mention <code>*foo*</code>. You can read this up in <a href="http://wiki.apache.org/lucene-java/LuceneFAQ#What_wildcard_search_support_is_available_from_Lucene.3F" rel="nofollow noreferrer">the FAQs 'What wildcard search support is available from Lucene?'</a></p> <blockquote> <p>Leading wildcards (e.g. *ook) are <strong>not</strong> supported by the QueryParser by default. As of Lucene 2.1, they can be enabled by calling QueryParser.setAllowLeadingWildcard( true ). Note that this can be an expensive operation: it requires scanning the list of tokens in the index in its entirety to look for those that match the pattern. </p> </blockquote> <p>In the SO question <a href="https://stackoverflow.com/questions/11766351/understanding-lucene-leading-wildcard-performance">Understanding Lucene leading wildcard performance</a> is a more detailed write up on this topic.</p>
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    1. POhow can i add wild card to query text in solr search
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    1. COI want to apply it on query not index analyser. can i do that
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    2. COI dont understand what is that simple thing not included in solr. With N gram and edge gram , suppose i have 20 character long word , so it mean , system has to index all 15 more words to do partial match. is that efficeint
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    3. COIt is more efficient to _index_ the solution for a search if you can. You invest the computational time required one time only, at index time. If you want to do that _every_ time on query time, you will face higher CPU usage and poorer search performance.
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