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February 23, 2012 20:26
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Example nestedQuery using Cloud9 Javascript API
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| #!/bin/bash | |
| # create index | |
| curl -XPUT -H 'Content-Type:application/json' 'http://localhost:2600/v1/examples' | |
| # setup mapping | |
| curl -XPUT -H 'Content-Type:application/json' 'http://localhost:2600/v1/examples/nested/_mapping' -d '{ | |
| "nested": { | |
| "properties": { | |
| "rows": { | |
| "type": "nested" | |
| } | |
| } | |
| } | |
| }' |
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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, function(hit) { %> | |
| <li><%= hit._source.title %></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/nestedSearch.js"></script> | |
| </body> | |
| </html> |
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| /* This example shows how to construct a nestedQuery | |
| * | |
| * The query will only match documents where country and product_id | |
| * match within the same row object. | |
| */ | |
| (function($) { | |
| /* construct a Lucene query string object */ | |
| var queryString = c9.query.QueryString("rows.country:japan AND rows.product_id:2"); | |
| /* build a nestedQuery object setting the context (path) to the root doc object, rows */ | |
| var nestedQuery = c9.query.NestedQuery(queryString).path("rows"); | |
| /* a function to display results - uses underscore.js templates */ | |
| var resultsCallBack = function(results) { | |
| if (results.hits) { | |
| var template = _.template($("#results").html(), results.hits); | |
| $(".search").empty(); | |
| $(".search").append(template); | |
| } | |
| }; | |
| /* execute the request */ | |
| c9.search.Request() | |
| .collections("examples") | |
| .types("nested") | |
| .query(nestedQuery) | |
| .get(resultsCallBack); | |
| })(jQuery); |
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| #!/bin/bash | |
| curl -XPUT -H 'Content-Type:application/json' 'http://localhost:2600/v1/examples/nested/1' -d '{ | |
| "title": "Nested example document", | |
| "tags": ["tag1","tag2"], | |
| "rows": [ | |
| { | |
| "country": ["US","Europe"], | |
| "product_id":1 | |
| }, | |
| { | |
| "country": ["Japan"], | |
| "product_id":2 | |
| }, | |
| { | |
| "country": ["US","Japan"], | |
| "product_id":3 | |
| } | |
| ] | |
| }' | |
| curl -XPUT -H 'Content-Type:application/json' 'http://localhost:2600/v1/examples/nested/2' -d '{ | |
| "title": "Another nested example document", | |
| "tags": ["tag1","tag2"], | |
| "rows": [ | |
| { | |
| "country": ["US","Europe"], | |
| "product_id":1 | |
| }, | |
| { | |
| "country": ["Europe"], | |
| "product_id":2 | |
| }, | |
| { | |
| "country": ["US","Japan"], | |
| "product_id":3 | |
| } | |
| ] | |
| }' |
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Nested queries are very similar to scope searches in FAST ESP. They allow you to search within sub-document fragments.