2016-04-19 09:59:09 -04:00
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[[java-query-percolate-query]]
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==== Percolate query
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2013-08-28 19:24:34 -04:00
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2016-03-15 10:07:53 -04:00
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See:
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2016-04-19 09:59:09 -04:00
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* {ref}/query-dsl-percolate-query.html[Percolate Query]
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[source,java]
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--------------------------------------------------
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// create an index with a percolator field with the name 'query':
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client.admin().indices().prepareCreate("myIndexName")
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.addMapping("query", "query", "type=percolator")
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.get();
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2013-08-28 19:24:34 -04:00
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//This is the query we're registering in the percolator
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QueryBuilder qb = termQuery("content", "amazing");
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//Index the query = register it in the percolator
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client.prepareIndex("myIndexName", "query", "myDesignatedQueryName")
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.setSource(jsonBuilder()
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.startObject()
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.field("query", qb) // Register the query
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.endObject())
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.setRefresh(true) // Needed when the query shall be available immediately
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.get();
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--------------------------------------------------
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This indexes the above term query under the name
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*myDesignatedQueryName*.
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In order to check a document against the registered queries, use this
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code:
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[source,java]
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--------------------------------------------------
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//Build a document to check against the percolator
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XContentBuilder docBuilder = XContentFactory.jsonBuilder().startObject();
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docBuilder.field("doc").startObject(); //This is needed to designate the document
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docBuilder.field("content", "This is amazing!");
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docBuilder.endObject(); //End of the doc field
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docBuilder.endObject(); //End of the JSON root object
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// Percolate, by executing the percolator query in the query dsl:
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SearchResponse response = client().prepareSearch("myIndexName")
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.setQuery(QueryBuilders.percolateQuery("query", ""myDocumentType", docBuilder.bytes()))
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.get();
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//Iterate over the results
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for(SearchHit hit : response.getHits()) {
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// Percolator queries as hit
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}
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--------------------------------------------------
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