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    <p>To implement case insensitive search you just have to convert keys to lowercase: </p> <p><code>emit([doc.name.toLowerCase(), doc.cat.toLowerCase()])</code> </p> <p>Now, if you convert your query to lowercase you'll have case insensitive matching. The problem with this solution is that if you want both case sensitive and case insensitive search you can either emit both values:<br> <code>[doc.name.toLowerCase(), doc.name, doc.cat]</code><br> and use startkey and endkey to filter results, or create a separate view. </p> <hr> <p>The second question is a bit more tricky to implement.<br> First of all, if you need to filter by doc.name only you can send request with <code>startkey=["jack",0]</code> and <code>endkey=["jack",'zzzzzz']</code> which will return all documents with <code>doc.name="jack"</code> and <code>doc.cat</code> between <code>0</code> and <code>'zzzzzz'</code> (there probably is a better way to say "any cat", unfortunately I can't find it right now).<br> If you need a real OR, then you should emit two rows for each document:<br> <code>emit(doc.name, doc); emit(doc.cat, doc);</code> </p> <p>This way you can POST needed keys with your request: <code>{"keys": ["jack", "cat_name"]}</code><br> This will return every document with either <code>"jack"</code> OR <code>"cat_name"</code> key. However documents that have both will be returned twice, so you have to filter duplicates in your application code. </p> <hr> <p>You can also use <a href="https://github.com/rnewson/couchdb-lucene" rel="noreferrer">couchdb-lucene</a> which will solve both of your problems and probably a lot more. It is a popular choice among couchdb users for implementing advanced queries.</p>
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    1. POCouchDB case in-sensitive and OR options like in mysql
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    1. COThank you very much, so you would recommend me more to create 2 views and query 2 times or to emit 2 times? Thank you!
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    2. COWell, for case sensitive and insensitive search two views will make application logic much simpler. But for OR queries you should emit 2 times, because this way you have to make only one query instead of two and you'll have to filter duplicates in either case.
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