elasticsearch做为开源的搜索引擎,支持复杂的搜索,本文示例用java客户端实现的搜索。java
一、maven引入依赖jar包缓存
<dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>1.1.0</version> </dependency>
二、产生clientelasticsearch
Settings settings = ImmutableSettings.settingsBuilder() .put("client.transport.sniff", true) .build(); TransportClient client = new TransportClient(settings);
三、使用query查询maven
SearchResponse actionGet = client.prepareSearch("indexName") .setTypes("typeName") .setQuery( QueryBuilders.boolQuery().must(QueryBuilders.termQuery("attr1", "value1")) ).execute().actionGet(); SearchHits hits = actionGet.getHits(); List<Map<String, Object>> matchRsult = new LinkedList<Map<String, Object>>(); for (SearchHit hit : hits.getHits()) { matchRsult.add(hit.getSource()); }
查询条件有好多种形式,均可以经过QueryBuilders来构建组合:ui
QueryBuilders.inQuery("attr1", new String[{"value1","value2","value3"}); QueryBuilders.rangeQuery("attr1").gt("value1")//gt lt eq gte lte;
查询的形式和意思均可以根据方法名猜想的出来。搜索引擎
四、使用filter查询code
filter和query的使用方式相似,它是使用FilterBuilders来构建查询条件。
不过比query多了or、and关系查询xml
FilterBuilders.orFilter(FilterBuilders.termFilter("attr1", "value1"),FilterBuilders.termFilter("attr2", "value2")); FilterBuilders.andFilter(FilterBuilders.termFilter("attr1", "value1"),FilterBuilders.termFilter("attr2", "value2"));
是经过 .setPostFilter(filter) 指定给search;
五、分页查询
一种方式是指定from/size索引
SearchResponse actionGet = elasticClient.prepareSearch("indexName") .setTypes("typeName") .setQuery( QueryBuilders.boolQuery().must(QueryBuilders.termQuery("attr1", "value1")) ) .setFrom(100) .setSize(200) .execute().actionGet();
另一种是使用Scroll/size,若是结果超过size大小,会返回size条记录,并返回一个scrollId,能够用这个scrollId继续往下查询。get
第一次查询
SearchResponse actionGet = elasticClient.prepareSearch("indexName") .setTypes("typeName") .setQuery( QueryBuilders.boolQuery().must(QueryBuilders.termQuery("attr1", "value1")) ) .setScroll(new TimeValue(60000)) .setSize(200) .execute().actionGet(); String scrollId = actionGet.getScrollId();
后面的查询
SearchResponse actionGet = elasticClient.prepareSearchScroll(actionGet.getScrollId()) .setScroll(new TimeValue(600000)) .execute().actionGet();
第二种分页查询必须在设定的缓存时间内往下查询,并且一旦进行了查询就必须往下继续查,不能回头重复查询。