您的位置:首页 > 产品设计 > UI/UE

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

2017-07-06 08:54 477 查看
/**

* 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());
}
}
}
}


  在使用ESTemplate创建index时,可以通过createIndex(String indexName, Object settings) 该方法进行index的设置。设置index.max_result_window大于1万即可(可以设置setting里,用个map,key为max_result_window,value大于1000即可)。该参数是最大范围,默认为1万。其他参数有index.number_of_shards,index.number_of_replicas等。也可以通过CURL这样做,http://blog.csdn.net/qq_18145031/article/details/53489370

转自:http://www.cnblogs.com/wenbronk/p/6432990.html

参考:http://blog.csdn.net/tianyaleixiaowu/article/details/77965257#comments

参考:ElasticSearch 各模块介绍及参数配置详解
内容来自用户分享和网络整理,不保证内容的准确性,如有侵权内容,可联系管理员处理 点击这里给我发消息
标签: 
相关文章推荐