OpenSearch/docs/java-api/query-dsl/percolate-query.asciidoc

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[source,java]
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Settings settings = Settings.builder().put("cluster.name", "elasticsearch").build();
TransportClient client = new PreBuiltTransportClient(settings);
client.addTransportAddress(new InetSocketTransportAddress(new InetSocketAddress(InetAddresses.forString("127.0.0.1"), 9300)));
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Before the `percolate` query can be used an `percolator` mapping should be added and
a document containing a percolator query should be indexed:
[source,java]
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// create an index with a percolator field with the name 'query':
client.admin().indices().prepareCreate("myIndexName")
.addMapping("query", "query", "type=percolator")
.addMapping("docs", "content", "type=text")
.get();
//This is the query we're registering in the percolator
QueryBuilder qb = termQuery("content", "amazing");
//Index the query = register it in the percolator
client.prepareIndex("myIndexName", "query", "myDesignatedQueryName")
.setSource(jsonBuilder()
.startObject()
.field("query", qb) // Register the query
.endObject())
.setRefreshPolicy(RefreshPolicy.IMMEDIATE) // Needed when the query shall be available immediately
.get();
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This indexes the above term query under the name
*myDesignatedQueryName*.
In order to check a document against the registered queries, use this
code:
[source,java]
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//Build a document to check against the percolator
XContentBuilder docBuilder = XContentFactory.jsonBuilder().startObject();
docBuilder.field("content", "This is amazing!");
docBuilder.endObject(); //End of the JSON root object
PercolateQueryBuilder percolateQuery = new PercolateQueryBuilder("query", "docs", docBuilder.bytes());
// Percolate, by executing the percolator query in the query dsl:
SearchResponse response = client().prepareSearch("myIndexName")
.setQuery(percolateQuery))
.get();
//Iterate over the results
for(SearchHit hit : response.getHits()) {
// Percolator queries as hit
}
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