• elasticsearch基本操作之--使用QueryBuilders进行查询


    /**

     * 系统环境: vm12 下的centos 7.2

     * 当前安装版本: elasticsearch-2.4.0.tar.gz

     */

    QueryBuilder 是es中提供的一个查询接口, 可以对其进行参数设置来进行查用擦还训

    package com.wenbronk.javaes;
    
    import java.net.InetSocketAddress;
    import java.util.ArrayList;
    import java.util.Iterator;
    import java.util.Map.Entry;
    
    import org.elasticsearch.action.ListenableActionFuture;
    import org.elasticsearch.action.get.GetRequestBuilder;
    import org.elasticsearch.action.get.GetResponse;
    import org.elasticsearch.action.search.SearchResponse;
    import org.elasticsearch.action.search.SearchType;
    import org.elasticsearch.client.transport.TransportClient;
    import org.elasticsearch.common.settings.Settings;
    import org.elasticsearch.common.text.Text;
    import org.elasticsearch.common.transport.InetSocketTransportAddress;
    import org.elasticsearch.common.unit.TimeValue;
    import org.elasticsearch.index.query.IndicesQueryBuilder;
    import org.elasticsearch.index.query.NestedQueryBuilder;
    import org.elasticsearch.index.query.QueryBuilder;
    import org.elasticsearch.index.query.QueryBuilders;
    import org.elasticsearch.index.query.QueryStringQueryBuilder;
    import org.elasticsearch.index.query.RangeQueryBuilder;
    import org.elasticsearch.index.query.SpanFirstQueryBuilder;
    import org.elasticsearch.index.query.WildcardQueryBuilder;
    import org.elasticsearch.search.SearchHit;
    import org.elasticsearch.search.SearchHits;
    import org.junit.Before;
    import org.junit.Test;
    
    /**
     * java操作查询api
     * @author 231
     *
     */
    public class JavaESQuery {
        
        private TransportClient client;
        
        @Before
        public void testBefore() {
            Settings settings = Settings.settingsBuilder().put("cluster.name", "wenbronk_escluster").build();
            client = TransportClient.builder().settings(settings).build()
                     .addTransportAddress(new InetSocketTransportAddress(new InetSocketAddress("192.168.50.37", 9300)));
            System.out.println("success to connect escluster");
        }
    
        /**
         * 使用get查询
         */
        @Test
        public void testGet() {
            GetRequestBuilder requestBuilder = client.prepareGet("twitter", "tweet", "1");
            GetResponse response = requestBuilder.execute().actionGet();
            GetResponse getResponse = requestBuilder.get();
            ListenableActionFuture<GetResponse> execute = requestBuilder.execute();
            System.out.println(response.getSourceAsString());
        }
        
        /**
         * 使用QueryBuilder
         * termQuery("key", obj) 完全匹配
         * termsQuery("key", obj1, obj2..)   一次匹配多个值
         * matchQuery("key", Obj) 单个匹配, field不支持通配符, 前缀具高级特性
         * multiMatchQuery("text", "field1", "field2"..);  匹配多个字段, field有通配符忒行
         * matchAllQuery();         匹配所有文件
         */
        @Test
        public void testQueryBuilder() {
    //        QueryBuilder queryBuilder = QueryBuilders.termQuery("user", "kimchy");
          QueryBUilder queryBuilder = QueryBuilders.termQuery("user", "kimchy", "wenbronk", "vini");
    QueryBuilders.termsQuery("user", new ArrayList<String>().add("kimchy")); // QueryBuilder queryBuilder = QueryBuilders.matchQuery("user", "kimchy"); // QueryBuilder queryBuilder = QueryBuilders.multiMatchQuery("kimchy", "user", "message", "gender"); QueryBuilder queryBuilder = QueryBuilders.matchAllQuery(); searchFunction(queryBuilder); } /** * 组合查询 * must(QueryBuilders) : AND * mustNot(QueryBuilders): NOT * should: : OR */ @Test public void testQueryBuilder2() { QueryBuilder queryBuilder = QueryBuilders.boolQuery() .must(QueryBuilders.termQuery("user", "kimchy")) .mustNot(QueryBuilders.termQuery("message", "nihao")) .should(QueryBuilders.termQuery("gender", "male")); searchFunction(queryBuilder); } /** * 只查询一个id的 * QueryBuilders.idsQuery(String...type).ids(Collection<String> ids) */ @Test public void testIdsQuery() { QueryBuilder queryBuilder = QueryBuilders.idsQuery().ids("1"); searchFunction(queryBuilder); } /** * 包裹查询, 高于设定分数, 不计算相关性 */ @Test public void testConstantScoreQuery() { QueryBuilder queryBuilder = QueryBuilders.constantScoreQuery(QueryBuilders.termQuery("name", "kimchy")).boost(2.0f); searchFunction(queryBuilder); // 过滤查询 // QueryBuilders.constantScoreQuery(FilterBuilders.termQuery("name", "kimchy")).boost(2.0f); } /** * disMax查询 * 对子查询的结果做union, score沿用子查询score的最大值, * 广泛用于muti-field查询 */ @Test public void testDisMaxQuery() { QueryBuilder queryBuilder = QueryBuilders.disMaxQuery() .add(QueryBuilders.termQuery("user", "kimch")) // 查询条件 .add(QueryBuilders.termQuery("message", "hello")) .boost(1.3f) .tieBreaker(0.7f); searchFunction(queryBuilder); } /** * 模糊查询 * 不能用通配符, 不知道干啥用 */ @Test public void testFuzzyQuery() { QueryBuilder queryBuilder = QueryBuilders.fuzzyQuery("user", "kimch"); searchFunction(queryBuilder); } /** * 父或子的文档查询 */ @Test public void testChildQuery() { QueryBuilder queryBuilder = QueryBuilders.hasChildQuery("sonDoc", QueryBuilders.termQuery("name", "vini")); searchFunction(queryBuilder); } /** * moreLikeThisQuery: 实现基于内容推荐, 支持实现一句话相似文章查询 * { "more_like_this" : { "fields" : ["title", "content"], // 要匹配的字段, 不填默认_all "like_text" : "text like this one", // 匹配的文本 } } percent_terms_to_match:匹配项(term)的百分比,默认是0.3 min_term_freq:一篇文档中一个词语至少出现次数,小于这个值的词将被忽略,默认是2 max_query_terms:一条查询语句中允许最多查询词语的个数,默认是25 stop_words:设置停止词,匹配时会忽略停止词 min_doc_freq:一个词语最少在多少篇文档中出现,小于这个值的词会将被忽略,默认是无限制 max_doc_freq:一个词语最多在多少篇文档中出现,大于这个值的词会将被忽略,默认是无限制 min_word_len:最小的词语长度,默认是0 max_word_len:最多的词语长度,默认无限制 boost_terms:设置词语权重,默认是1 boost:设置查询权重,默认是1 analyzer:设置使用的分词器,默认是使用该字段指定的分词器 */ @Test public void testMoreLikeThisQuery() { QueryBuilder queryBuilder = QueryBuilders.moreLikeThisQuery("user") .like("kimchy"); // .minTermFreq(1) //最少出现的次数 // .maxQueryTerms(12); // 最多允许查询的词语 searchFunction(queryBuilder); } /** * 前缀查询 */ @Test public void testPrefixQuery() { QueryBuilder queryBuilder = QueryBuilders.matchQuery("user", "kimchy"); searchFunction(queryBuilder); } /** * 查询解析查询字符串 */ @Test public void testQueryString() { QueryBuilder queryBuilder = QueryBuilders.queryStringQuery("+kimchy"); searchFunction(queryBuilder); } /** * 范围内查询 */ public void testRangeQuery() { QueryBuilder queryBuilder = QueryBuilders.rangeQuery("user") .from("kimchy") .to("wenbronk") .includeLower(true) // 包含上界 .includeUpper(true); // 包含下届 searchFunction(queryBuilder); } /** * 跨度查询 */ @Test public void testSpanQueries() { QueryBuilder queryBuilder1 = QueryBuilders.spanFirstQuery(QueryBuilders.spanTermQuery("name", "葫芦580娃"), 30000); // Max查询范围的结束位置 QueryBuilder queryBuilder2 = QueryBuilders.spanNearQuery() .clause(QueryBuilders.spanTermQuery("name", "葫芦580娃")) // Span Term Queries .clause(QueryBuilders.spanTermQuery("name", "葫芦3812娃")) .clause(QueryBuilders.spanTermQuery("name", "葫芦7139娃")) .slop(30000) // Slop factor .inOrder(false) .collectPayloads(false); // Span Not QueryBuilder queryBuilder3 = QueryBuilders.spanNotQuery() .include(QueryBuilders.spanTermQuery("name", "葫芦580娃")) .exclude(QueryBuilders.spanTermQuery("home", "山西省太原市2552街道")); // Span Or QueryBuilder queryBuilder4 = QueryBuilders.spanOrQuery() .clause(QueryBuilders.spanTermQuery("name", "葫芦580娃")) .clause(QueryBuilders.spanTermQuery("name", "葫芦3812娃")) .clause(QueryBuilders.spanTermQuery("name", "葫芦7139娃")); // Span Term QueryBuilder queryBuilder5 = QueryBuilders.spanTermQuery("name", "葫芦580娃"); } /** * 测试子查询 */ @Test public void testTopChildrenQuery() { QueryBuilders.hasChildQuery("tweet", QueryBuilders.termQuery("user", "kimchy")) .scoreMode("max"); } /** * 通配符查询, 支持 * * 匹配任何字符序列, 包括空 * 避免* 开始, 会检索大量内容造成效率缓慢 */ @Test public void testWildCardQuery() { QueryBuilder queryBuilder = QueryBuilders.wildcardQuery("user", "ki*hy"); searchFunction(queryBuilder); } /** * 嵌套查询, 内嵌文档查询 */ @Test public void testNestedQuery() { QueryBuilder queryBuilder = QueryBuilders.nestedQuery("location", QueryBuilders.boolQuery() .must(QueryBuilders.matchQuery("location.lat", 0.962590433140581)) .must(QueryBuilders.rangeQuery("location.lon").lt(36.0000).gt(0.000))) .scoreMode("total"); } /** * 测试索引查询 */ @Test public void testIndicesQueryBuilder () { QueryBuilder queryBuilder = QueryBuilders.indicesQuery( QueryBuilders.termQuery("user", "kimchy"), "index1", "index2") .noMatchQuery(QueryBuilders.termQuery("user", "kimchy")); } /** * 查询遍历抽取 * @param queryBuilder */ private void searchFunction(QueryBuilder queryBuilder) { SearchResponse response = client.prepareSearch("twitter") .setSearchType(SearchType.DFS_QUERY_THEN_FETCH) .setScroll(new TimeValue(60000)) .setQuery(queryBuilder) .setSize(100).execute().actionGet(); while(true) { response = client.prepareSearchScroll(response.getScrollId()) .setScroll(new TimeValue(60000)).execute().actionGet(); for (SearchHit hit : response.getHits()) { Iterator<Entry<String, Object>> iterator = hit.getSource().entrySet().iterator(); while(iterator.hasNext()) { Entry<String, Object> next = iterator.next(); System.out.println(next.getKey() + ": " + next.getValue()); if(response.getHits().hits().length == 0) { break; } } } break; } // testResponse(response); } /** * 对response结果的分析 * @param response */ public void testResponse(SearchResponse response) { // 命中的记录数 long totalHits = response.getHits().totalHits(); for (SearchHit searchHit : response.getHits()) { // 打分 float score = searchHit.getScore(); // 文章id int id = Integer.parseInt(searchHit.getSource().get("id").toString()); // title String title = searchHit.getSource().get("title").toString(); // 内容 String content = searchHit.getSource().get("content").toString(); // 文章更新时间 long updatetime = Long.parseLong(searchHit.getSource().get("updatetime").toString()); } } /** * 对结果设置高亮显示 */ public void testHighLighted() { /* 5.0 版本后的高亮设置 * client.#().#().highlighter(hBuilder).execute().actionGet(); HighlightBuilder hBuilder = new HighlightBuilder(); hBuilder.preTags("<h2>"); hBuilder.postTags("</h2>"); hBuilder.field("user"); // 设置高亮显示的字段 */ // 加入查询中 SearchResponse response = client.prepareSearch("blog") .setQuery(QueryBuilders.matchAllQuery()) .addHighlightedField("user") // 添加高亮的字段 .setHighlighterPreTags("<h1>") .setHighlighterPostTags("</h1>") .execute().actionGet(); // 遍历结果, 获取高亮片段 SearchHits searchHits = response.getHits(); for(SearchHit hit:searchHits){ System.out.println("String方式打印文档搜索内容:"); System.out.println(hit.getSourceAsString()); System.out.println("Map方式打印高亮内容"); System.out.println(hit.getHighlightFields()); System.out.println("遍历高亮集合,打印高亮片段:"); Text[] text = hit.getHighlightFields().get("title").getFragments(); for (Text str : text) { System.out.println(str.string()); } } } }
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  • 原文地址:https://www.cnblogs.com/wenbronk/p/6432990.html
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