1 package com.example.demo;
2
3 import com.alibaba.fastjson.JSON;
4 import org.elasticsearch.action.get.MultiGetRequest;
5 import org.elasticsearch.client.Client;
6 import org.elasticsearch.client.RestHighLevelClient;
7 import org.elasticsearch.index.query.MatchQueryBuilder;
8 import org.elasticsearch.index.query.QueryBuilders;
9 import org.elasticsearch.search.aggregations.AggregationBuilders;
10 import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;
11 import org.elasticsearch.search.aggregations.metrics.avg.InternalAvg;
12 import org.elasticsearch.search.sort.SortBuilders;
13 import org.elasticsearch.search.sort.SortOrder;
14 import org.junit.jupiter.api.Test;
15 import org.springframework.beans.factory.annotation.Autowired;
16 import org.springframework.boot.test.context.SpringBootTest;
17 import org.springframework.data.domain.Page;
18 import org.springframework.data.domain.PageRequest;
19 import org.springframework.data.domain.Sort;
20 import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
21 import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;
22 import org.springframework.data.elasticsearch.core.query.FetchSourceFilter;
23 import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
24
25 import java.util.ArrayList;
26 import java.util.List;
27
28 @SpringBootTest
29 class DemoApplicationTests {
30 @Autowired
31 GoodsRepository goodsRepository;
32 @Test
33 void contextLoads() {
34 }
35 // @Autowired
36 // private ElasticsearchTemplate elasticsearchTemplate;
37
38
39
40
41 @Test
42 public void addDocument() {
43 Goods goods = new Goods(1L, "大米1S", "手机",
44 "大米", 3499.00, "https://img13.360buyimg.com/n1/s450x450_jfs/t1/79993/29/9874/153231/5d7809f4E8f387bff/1dc9e1b6b262f0fb.jpg");
45 Goods goods0 = goodsRepository.save(goods);
46 System.out.println(JSON.toJSONString(goods0));
47 }
48
49 /**
50 * 批量新增
51 */
52 @Test
53 public void createDocumentList() {
54 List<Goods> list = new ArrayList<>();
55 list.add(new Goods(2L, "坚果手机R1", " 手机", "锤子", 3699.00, "http://image.leyou.com/123.jpg"));
56 list.add(new Goods(3L, "华为META10", " 手机", "华为", 4499.00, "http://image.leyou.com/3.jpg"));
57 // 接收对象集合,实现批量新增
58 goodsRepository.saveAll(list);
59 }
60
61 @Test
62 public void findDocument() {
63 // 查询全部,并安装价格降序排序
64 Iterable<Goods> goodsIterable = this.goodsRepository.findAll(Sort.by(Sort.Direction.DESC, "price"));
65 goodsIterable.forEach(goods -> System.out.println(JSON.toJSONString(goods)));
66 }
67
68 @Test
69 public void indexList() {
70 List<Goods> list = new ArrayList<>();
71 list.add(new Goods(1L, "小米手机7", "手机", "小米", 3299.00, "http://image.leyou.com/13123.jpg"));
72 list.add(new Goods(2L, "坚果手机R1", "手机", "锤子", 3699.00, "http://image.leyou.com/13123.jpg"));
73 list.add(new Goods(3L, "华为META10", "手机", "华为", 4499.00, "http://image.leyou.com/13123.jpg"));
74 list.add(new Goods(4L, "小米Mix2S", "手机", "小米", 4299.00, "http://image.leyou.com/13123.jpg"));
75 list.add(new Goods(5L, "荣耀V10", "手机", "华为", 2799.00, "http://image.leyou.com/13123.jpg"));
76 // 接收对象集合,实现批量新增
77 goodsRepository.saveAll(list);
78 }
79
80 @Test
81 public void queryByPriceBetween(){
82 List<Goods> list = this.goodsRepository.findByPriceBetween(2000.00, 3500.00);
83 for (Goods goods: list) {
84 System.out.println(goods);
85 }
86 }
87 @Test
88 public void testQuery(){
89 MatchQueryBuilder queryBuilder = QueryBuilders.matchQuery("id", "1");
90 Iterable<Goods> items =goodsRepository.search(queryBuilder);
91 for (Goods item : items) {
92 System.out.println(JSON.toJSONString(item));
93 }
94 }
95
96 @Test
97 void findByTitle()
98 {
99 Goods goods= goodsRepository.findByTitle("小米Mix2S");
100 System.out.println(JSON.toJSONString(goods));
101 }
102
103
104 @Test
105 public void testNativeQuery(){
106 // 构建查询条件
107 NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
108 // 添加基本的分词查询
109 queryBuilder.withQuery(QueryBuilders.termQuery("category", "手机"));
110
111 // 初始化分页参数
112 int page = 0;
113 int size = 20;
114 // 设置分页参数
115 queryBuilder.withPageable(PageRequest.of(page, size));
116
117 // 执行搜索,获取结果
118 Page<Goods> items = goodsRepository.search(queryBuilder.build());
119 // 打印总条数
120 System.out.println(items.getTotalElements());
121 // 打印总页数
122 System.out.println(items.getTotalPages());
123 // 每页大小
124 System.out.println(items.getSize());
125 // 当前页
126 System.out.println(items.getNumber());
127 for (Goods item : items) {
128 System.out.println(JSON.toJSONString(item));
129 }
130 }
131 @Test
132 public void testSort(){
133 // 构建查询条件
134 NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
135 // 添加基本的分词查询
136 queryBuilder.withQuery(QueryBuilders.termQuery("category", "手机"));
137
138 // 排序
139 queryBuilder.withSort(SortBuilders.fieldSort("id").order(SortOrder.ASC));
140
141 // 执行搜索,获取结果
142 Page<Goods> items = goodsRepository.search(queryBuilder.build());
143 // 打印总条数
144 System.out.println(items.getTotalElements());
145 for (Goods item : items) {
146 System.out.println(JSON.toJSONString(item));
147 }
148 }
149 @Test
150 /**
151 * 按照品牌brand进行分组 统计各品牌的总数
152 * */
153 public void testAgg(){
154 NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
155 // 不查询任何结果
156 queryBuilder.withSourceFilter(new FetchSourceFilter(new String[]{""}, null));
157 // 1、添加一个新的聚合,聚合类型为terms,聚合名称为brands,聚合字段为brand
158 queryBuilder.addAggregation(
159 AggregationBuilders.terms("brands").field("brand"));
160 // 2、查询,需要把结果强转为AggregatedPage类型
161 AggregatedPage<Goods> aggPage = (AggregatedPage<Goods>) goodsRepository.search(queryBuilder.build());
162 // 3、解析
163 // 3.1、从结果中取出名为brands的那个聚合,
164 // 因为是利用String类型字段来进行的term聚合,所以结果要强转为StringTerm类型
165 StringTerms agg = (StringTerms) aggPage.getAggregation("brands");
166 // 3.2、获取桶
167 List<StringTerms.Bucket> buckets = agg.getBuckets();
168 // 3.3、遍历
169 for (StringTerms.Bucket bucket : buckets) {
170 // 3.4、获取桶中的key,即品牌名称
171 System.out.println(bucket.getKeyAsString());
172 // 3.5、获取桶中的文档数量
173 System.out.println(bucket.getDocCount());
174 }
175 }
176 @Test
177 /**
178 * 嵌套聚合,求平均值
179 * */
180 public void testSubAgg(){
181 NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
182 // 不查询任何结果
183 queryBuilder.withSourceFilter(new FetchSourceFilter(new String[]{""}, null));
184 // 1、添加一个新的聚合,聚合类型为terms,聚合名称为brands,聚合字段为brand
185 queryBuilder.addAggregation(
186 AggregationBuilders.terms("brands").field("brand")
187 .subAggregation(AggregationBuilders.avg("priceAvg").field("price")) // 在品牌聚合桶内进行嵌套聚合,求平均值
188 );
189 // 2、查询,需要把结果强转为AggregatedPage类型
190 AggregatedPage<Goods> aggPage = (AggregatedPage<Goods>) goodsRepository.search(queryBuilder.build());
191 // 3、解析
192 // 3.1、从结果中取出名为brands的那个聚合,
193 // 因为是利用String类型字段来进行的term聚合,所以结果要强转为StringTerm类型
194 StringTerms agg = (StringTerms) aggPage.getAggregation("brands");
195 // 3.2、获取桶
196 List<StringTerms.Bucket> buckets = agg.getBuckets();
197 // 3.3、遍历
198 for (StringTerms.Bucket bucket : buckets) {
199 // 3.4、获取桶中的key,即品牌名称 3.5、获取桶中的文档数量
200 System.out.println(bucket.getKeyAsString() + ",共" + bucket.getDocCount() + "台");
201
202 // 3.6.获取子聚合结果:
203 InternalAvg avg = (InternalAvg) bucket.getAggregations().asMap().get("priceAvg");
204 System.out.println("平均售价:" + avg.getValue());
205 }
206 }
207
208 }