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February 26, 2012 17:23
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Example Span queries using Cloud9 Javascript API
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| <!doctype html> | |
| <head> | |
| <title>Simple Search</title> | |
| <!-- Example search template using underscore.js --> | |
| <script type="text/template" id="results"> | |
| <% _.each(hits.hits, function(hit) { %> | |
| <li><%= hit._source.text %></li> | |
| <% }); %> | |
| </script> | |
| </head> | |
| <body> | |
| <div class="search"></div> | |
| <script src="js/jquery-1.6.2.min.js"></script> | |
| <script src="js/underscore-min.js"></script> | |
| <script src="js/c9/c9api.min.js"></script> | |
| <!-- change 'yourapp' to the name of your Cloud9 application --> | |
| <script defer src="yourapp/js/spanSearch.js"></script> | |
| </body> | |
| </html> |
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| #!/bin/bash | |
| curl -XPUT -H 'Content-Type:application/json' 'http://localhost:2600/v1/examples/phrase/1' -d '{ | |
| "text":"fish and chips is rather pleasing" | |
| }' | |
| curl -XPUT -H 'Content-Type:application/json' 'http://localhost:2600/v1/examples/phrase/2' -d '{ | |
| "text":"fish and jam is quite disgusting" | |
| }' |
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| /* Example using Span queries | |
| * | |
| * Span queries allow for nested, positional | |
| * restrictions when matching documents in Lucene. | |
| */ | |
| (function($) { | |
| /* create a span term query for fish in the text field */ | |
| var fish = c9.query.SpanTermQuery("text", "fish"); | |
| /* create a span term query for chips in the text field */ | |
| var chips = c9.query.SpanTermQuery("text", "chips"); | |
| /* create a span near query for fish within 2 words of chips */ | |
| var fishNearChips = c9.query.SpanNearQuery([fish, chips]).slop(2).inOrder("true"); | |
| /* create a span not query for fish that does not occurr within 2 words of chips */ | |
| var query = c9.query.SpanNotQuery().include(fish).exclude(fishNearChips); | |
| /* a function to display results - uses underscore.js templates */ | |
| var resultsCallBack = function(results) { | |
| if (results.hits) { | |
| var template = _.template($("#results").html(), results); | |
| $(".search").empty(); | |
| $(".search").append(template); | |
| } | |
| }; | |
| /* execute the request */ | |
| c9.search.Request() | |
| .collections("examples") | |
| .types("phrase") | |
| .query(query) | |
| .get(resultsCallBack); | |
| })(jQuery); |
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If order is not important (i.e., chips can be within 2 tokens to the left or the right of fish), then a Lucene proximity search is simpler and will perform better. You can use the Cloud9 queryString object which excepts any Lucene [Query Snytax](http://lucene.apache.org/core/old_versioned_docs/versions/3_0_0/queryparsersyntax.html#Proximity Searches)