Search部分:
query Java API和filter Java API
首先看一个例子:
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.SearchType;
import org.elasticsearch.index.query.FilterBuilders.*;
import org.elasticsearch.index.query.QueryBuilders.*;
SearchResponse response = client.prepareSearch("index1", "index2")
//设置要查询的索引(index)
.setTypes("type1", "type2")
//设置type, 这个在建立索引的时候同时设置了, 或者可以使用head工具查看
.setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
.setQuery(QueryBuilders.termQuery("multi", "test"))
// Query 查询之一. 对于QueryBuilders接下来会解释. 在这里"multi"是要查询的field,"test"是要查询的内容
.setFilter(FilterBuilders.rangeFilter("age").from(12).to(18))
// Filter 查询之二, FilterBuilders接下来会解释. 在这里"age"是要查询的field, 后面的数字是查询的条件范围
.setFrom(0).setSize(60).setExplain(true)
//0-60 表示显示数量
.execute()
.actionGet();
可选的.
最小的查询如下所示:
// MatchAll on the whole cluster with all default options
SearchResponse response = client.prepareSearch().execute().actionGet();
为了使用QueryBuilders必须先import下面的类:
import org.elasticsearch.index.query.QueryBuilders.*;
Match Query (链接内有详细解释)
QueryBuilder qb = QueryBuilders.matchQuery("name", "kimchy elasticsearch");
//name是field,kimchy elasticsearch是要查询的字符串
第二种:MultiMatch Query (链接内有详细解释)
QueryBuilder qb = QueryBuilders.multiMatchQuery(
"kimchy elasticsearch", // Text you are looking for
//kimchy elasticsearch是要查询的字符串
"user", "message" // Fields you query on
//user 和 message都是field
);
第三种: Boolean Query (链接内有详细解释)
QueryBuilder qb = QueryBuilders
.boolQuery()
.must(termQuery("content", "test1"))
.must(termQuery("content", "test4"))
.mustNot(termQuery("content", "test2"))
.should(termQuery("content", "test3"));
//content为field,test为查询内容.
//其中must表示必须满足,mustNot表示必须不满足,should表示可有可无
如果bool查询语句中不存在must,则必须至少有一个should查询,同时可以通过minimum_should_match参数来设置至少需要满足的should个数.
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QueryBuilders.idsQuery().ids("1", "2");
//通过id来查询
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QueryBuilders.fieldQuery("name", "+kimchy -dadoonet");
// Note that you can write the same query using queryString query.
QueryBuilders.queryString("+kimchy -dadoonet").field("name");
//+表示必须有的 -表示一定没有的
Fuzzy Like This Query * Fuzzy Like This Field Query
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QueryBuilder qb = QueryBuilders.fuzzyQuery("name", "kimzhy");
//根据提供的字符串作为前缀进行查询
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QueryBuilder qb = QueryBuilders.matchAllQuery();
//显示所有的记录
* More Like This Query * More Like This Field Query
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QueryBuilders.prefixQuery("brand", "heine");
//brand是field, heine是前缀查询字符串
QueryBuilder qb = QueryBuilders.queryString("+kimchy -elasticsearch");
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QueryBuilder qb = QueryBuilders
.rangeQuery("price")
.from(5)
.to(10)
.includeLower(true)
.includeUpper(false);
//price是field, 数字代表范围.除了from to还有lt gt等等...
* Span First Query * Span Near Query * Span Not Query * Span Or Query * Span Term Quer// Span First
QueryBuilders.spanFirstQuery(
QueryBuilders.spanTermQuery("user", "kimchy"), // Query
3 // Max End position
);
//只匹配在Field开头出现的, 数字表示从开头起的几个单词内查询, 则此查询意思是:user中的开头3个单词内,kimchy是否能查询到
// Span Near
QueryBuilders.spanNearQuery()
.clause(QueryBuilders.spanTermQuery("field","value1")) // Span Term Queries
.clause(QueryBuilders.spanTermQuery("field","value2"))
.clause(QueryBuilders.spanTermQuery("field","value3"))
.slop(12) // Slop factor
.inOrder(false)
.collectPayloads(false);
//匹配距离相近的, inOrder表示:true表示按照value1/2/3的顺序来计算距离(两个单词中间夹一个单词 距离为1). 举例: a b c d. {a,b,c}中a,c的距离为1.
//则此查询的意思是:在field中,如果value1/2/3的距离是在12以内的,那么可以查询到.反之不能.
// Span Not
QueryBuilders.spanNotQuery()
.include(QueryBuilders.spanTermQuery("field","value1"))
.exclude(QueryBuilders.spanTermQuery("field","value2"));
//匹配不重叠的,即除那些两个SpanQuery相互重叠的结果
//例如有两个Document：”the quick brown fox jump over a lazy dog”和”the quick red fox jumps over the sleepy cat”
//SpanNearQuery quick_fox =new SpanNearQuery(new SpanQuery[]{quick, fox}, 1, true); //基础的SpanQuery，默认匹配2个Document
//匹配的这两个结果的中间重叠部分为：red/brown
//SpanNotQuery quick_fox_dog = new SpanNotQuery(quick_fox, dog);//因为dog不是red或者brown，所以仍为两个
//SpanNotQuery no_quick_red_fox = new SpanNotQuery(quick_fox, red); //现在只剩下brown那个doc了
//这种Query经常用于连接的时候。
// Span Or
QueryBuilders.spanOrQuery()
.clause(QueryBuilders.spanTermQuery("field","value1"))
.clause(QueryBuilders.spanTermQuery("field","value2"))
.clause(QueryBuilders.spanTermQuery("field","value3"));
//SpanQuery的合集
// Span Term
QueryBuilders.spanTermQuery("user","kimchy");
//该部分详见:http://www.coder4.com/archives/774
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附上一个自己写的小型Test, 简单易懂.
1 import java.io.IOException;
2
3 import org.elasticsearch.action.index.IndexResponse;
4 import org.elasticsearch.action.search.SearchResponse;
5 import org.elasticsearch.action.search.SearchType;
6 import org.elasticsearch.client.Client;
7 import org.elasticsearch.client.transport.TransportClient;
8 import org.elasticsearch.common.transport.InetSocketTransportAddress;
9 import org.elasticsearch.common.xcontent.XContentBuilder;
10 import org.elasticsearch.common.xcontent.XContentFactory;
11 import org.elasticsearch.index.query.FilterBuilders;
12 import org.elasticsearch.index.query.QueryBuilder;
13 import org.elasticsearch.index.query.QueryBuilders;
14 import org.elasticsearch.search.SearchHits;
15
16 import user.User;
17
18
19 public class First_ES_Test {
20
21 private Client client;
22
23 public void init()
24 {
25 //ip可以在http://localhost:9200/_plugin/head/中自行查询
26 client = new TransportClient().addTransportAddress(new InetSocketTransportAddress("192.168.1.103", 9300));
27 }
28
29 public void close()
30 {
31 client.close();
32 }
33
34 /*
35 * create index
36 **/
37 public void createIndex() {
38 for (int i = 0; i < 1000; i++) {
39 User user = new User();
40 user.setId(new Long(i));
41 user.setName("xxx0624 " + i);
42 user.setAge(i % 100);
43 System.out.println("ok:"+i);
44 client.prepareIndex("users", "user").setSource(generateJson(user))
45 .execute().actionGet();
46 }
47 }
48
49 /*
50 * 转换成json对象
51 *
52 * @param user
53 * @return json(String)
54 **/
55 private String generateJson(User user) {
56 String json = "";
57 try {
58 XContentBuilder contentBuilder = XContentFactory.jsonBuilder()
59 .startObject();
60 contentBuilder.field("id", user.getId() + "");
61 contentBuilder.field("name", user.getName());
62 contentBuilder.field("age", user.getAge() + "");
63 json = contentBuilder.endObject().string();
64 } catch (IOException e) {
65 e.printStackTrace();
66 }
67 return json;
68 }
69
70 public void search() {
71 QueryBuilder qb = QueryBuilders
72 .boolQuery()
73 .must(QueryBuilders.termQuery("age", "0"))
74 .should(QueryBuilders.termQuery("id", "0"))
75 //.mustNot(QueryBuilders.termQuery("content", "test2"))
76 //.should(QueryBuilders.termQuery("content", "test3"))
77 ;
78
79 SearchResponse response = client.prepareSearch("users")
80 .setTypes("user")
81 .setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
82 .setQuery(qb) // Query
83 //.setFilter(FilterBuilders.rangeFilter("age").from(0).to(100)) // Filter
84 .setFrom(0).setSize(100).setExplain(true)
85 .execute().actionGet();
86 SearchHits hits = response.getHits();
87 System.out.println(hits.getTotalHits());
88 for (int i = 0; i < hits.getHits().length; i++) {
89 System.out.println(hits.getHits()[i].getSourceAsString());
90 }
91 }
92
93 public static void main(String[] args) {
94
95 First_ES_Test client = new First_ES_Test();
96 client.init();
97 client.createIndex();
98 client.search();
99 client.close();
100
101 }
102
103 public void print(String output)
104 {
105 System.out.print(output);
106 }
107 public void println(String output)
108 {
109 System.out.println(output);
110 }
111
112 }
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