狂神ElasticSearch学习笔记
1. ElasticSearch概述
2. ES与Solr的差别
2.1. Solr简介
2.2. Lucene简介
2.3. ES VS Solr
3. ElasticSearch 安装
认识目录
测试访问
4. Kibana安装
开箱即用
配置文件
server.port: 5601
server.host: "0.0.0.0"
elasticsearch.hosts: ["http://192.168.1.30:9201"]
kibana.index: ".kibana"
i18n.locale: "zh-CN" # 中文汉化
访问测试
5. ES核心概念
索引
字段类型（mapping）
文档（document）
6. IK分词器
下载链接
解压放入到es对应的plugins下即可
重启观察ES，发现ik插件被加载了
也可以通过bin目录下elasticsearch-plugin list 查看已经加载的插件
使用kibana测试
ik_smart: 最少切分
ik_max_word为最细粒度划分！穷尽词库的可能， 字典！
ik分词器增加自己的配置！
重启ES 和 Kibana
7. Restful风格说明
基础测试
创建一个索引！
PUT /索引名/~类型名~/文档id
{请求体}
# PUT 创建命令 test1 索引 type1 类型 1 id
PUT test1/type1/1
{
"name": "xiaofan",
"age": 28
}
# 返回结果
# 警告信息：不支持在文档索引请求中的指定类型
# 而是使用无类型的断点(/{index}/_doc/{id}, /{index}/_doc, or /{index}/_create/{id}).
{
"_index" : "test1", # 索引
"_type" : "type1", # 类型（已经废弃）
"_id" : "1", # id
"_version" : 1, # 版本
"result" : "created", # 操作类型
"_shards" : { # 分片信息
"total" : 2,
"successful" : 1,
"failed" : 0
},
"_seq_no" : 0,
"_primary_term" : 1
}
指定字段的类型（创建规则）
获取具体的索引规则
# GET test2
{
"test2" : {
"aliases" : { },
"mappings" : {
"properties" : {
"age" : {
"type" : "integer"
},
"birthday" : {
"type" : "date"
},
"name" : {
"type" : "text"
}
}
},
"settings" : {
"index" : {
"creation_date" : "1599708623941",
"number_of_shards" : "1",
"number_of_replicas" : "1",
"uuid" : "ANWnhwArSMSl8k8iipgH1Q",
"version" : {
"created" : "7080099"
},
"provided_name" : "test2"
}
}
}
}
# 查看默认的规则
PUT /test3/_doc/1
{
"name": "狂神说Java",
"age": 28,
"birthday": "1997-01-05"
}
# GET test3
{
"test3" : {
"aliases" : { },
"mappings" : {
"properties" : {
"age" : {
"type" : "long"
},
"birthday" : {
"type" : "date"
},
"name" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
},
"settings" : {
"index" : {
"creation_date" : "1599708906181",
"number_of_shards" : "1",
"number_of_replicas" : "1",
"uuid" : "LzPLCDgeQn6tdKo3xBBpbw",
"version" : {
"created" : "7080099"
},
"provided_name" : "test3"
}
}
}
}
修改索引 POST
# 只会修改指定项，其他内容保证不变
POST /test3/_doc/1/_update
{
"doc": {
"name":"暴徒狂神"
}
}
# GET test3/_doc/1
{
"_index" : "test3",
"_type" : "_doc",
"_id" : "1",
"_version" : 2,
"_seq_no" : 1,
"_primary_term" : 1,
"found" : true,
"_source" : {
"name" : "暴徒狂神",
"age" : 28,
"birthday" : "1997-01-05"
}
}
8. 关于文档的基本操作
基本操作（简单的查询）
put /kuangshen/user/1
{
"name": "狂神说",
"age": 23,
"desc": "一顿操作猛如虎，一看工资2500",
"tags": ["码农", "技术宅", "直男"]
}
put /kuangshen/user/2
{
"name": "张三",
"age": 28,
"desc": "法外狂徒",
"tags": ["旅游", "渣男", "交友"]
}
put /kuangshen/user/3
{
"name": "李四",
"age": 30,
"desc": "不知道怎么描述",
"tags": ["旅游", "靓女", "唱歌"]
}
GET kuangshen/user/1
GET kuangshen/user/_search?q=name:狂神
复杂操作(排序、分页、高亮、模糊查询、标准查询！)
# 模糊查询
GET kuangshen/user/_search
{
"query": {
"match": {
"name": "狂神"
}
}
}
# 对查询结果进行字段过滤
GET kuangshen/user/_search
{
"query": {
"match": {
"name": "狂神"
}
},
"_source": ["name", "desc"]
}
# 排序
GET kuangshen/user/_search
{
"query": {
"match": {
"name": "狂神"
}
},
"sort":[{
"age": "asc"
}]
}
# 分页
GET kuangshen/user/_search
{
"query": {
"match": {
"name": "狂神"
}
},
"sort":[{
"age": "asc"
}],
"from": 0,
"size": 2
}
多条件查询
GET kuangshen/user/_search
{
"query": {
"match": {
"tags": "技术 男"
}
}
}
keyword类型不会被分词器解析
term: 精确匹配
# 定义类型
PUT xiaofan_test_db
{
"mappings": {
"properties": {
"name": {
"type": "text"
},
"desc": {
"type": "keyword"
}
}
}
}
PUT /xiaofan_test_db/_doc/1
{
"name": "小范说Java Name",
"desc": "小范说Java Desc"
}
PUT /xiaofan_test_db/_doc/2
{
"name": "小范说Java Name",
"desc": "小范说Java Desc 2"
}
# 按照keyword类型精准匹配
GET xiaofan_test_db/_search
{
"query": {
"term": {
"desc": "小范说Java Desc"
}
}
}
# 结果：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 0.6931471,
"hits" : [
{
"_index" : "test_db",
"_type" : "_doc",
"_id" : "1",
"_score" : 0.6931471,
"_source" : {
"name" : "小范说Java Name",
"desc" : "小范说Java Desc"
}
}
]
}
}
# 按照text类型匹配
GET xiaofan_test_db/_search
{
"query": {
"term": {
"name": "小"
}
}
}
# 结果：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 0.18232156,
"hits" : [
{
"_index" : "test_db",
"_type" : "_doc",
"_id" : "1",
"_score" : 0.18232156,
"_source" : {
"name" : "小范说Java Name",
"desc" : "小范说Java Desc"
}
},
{
"_index" : "test_db",
"_type" : "_doc",
"_id" : "2",
"_score" : 0.18232156,
"_source" : {
"name" : "小范说Java Name",
"desc" : "小范说Java Desc 2"
}
}
]
}
}
多个值匹配精确查询
PUT /test_db/_doc/3
{
"t1": "22",
"t2": "2020-09-10"
}
PUT /test_db/_doc/4
{
"t1": "33",
"t2": "2020-09-11"
}
GET test_db/_search
{
"query": {
"bool": {
"should": [
{
"term": {
"t1": "22"
}
},
{
"term": {
"t1": "33"
}
}
]
}
}
}
高亮查询
GET kuangshen/user/_search
{
"query": {
"match": {
"name": "狂神"
}
},
"highlight": {
"pre_tags": "<p class='key' style='color:red'>",
"post_tags": "</p>",
"fields": {
"name": {}
}
}
}
# 结果显示：
#! Deprecation: [types removal] Specifying types in search requests is deprecated.
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 1.3862942,
"hits" : [
{
"_index" : "kuangshen",
"_type" : "user",
"_id" : "1",
"_score" : 1.3862942,
"_source" : {
"name" : "狂神说",
"age" : 23,
"desc" : "一顿操作猛如虎，一看工资2500",
"tags" : [
"码农",
"技术宅",
"直男"
]
},
"highlight" : {
"name" : [
"<p class='key' style='color:red'>狂</p><p class='key' style='color:red'>神</p>说"
]
}
},
{
"_index" : "kuangshen",
"_type" : "user",
"_id" : "4",
"_score" : 1.0892314,
"_source" : {
"name" : "狂神说前端",
"age" : 25,
"desc" : "大王叫我来巡山",
"tags" : [
"码农1",
"技术宅1",
"直男1"
]
},
"highlight" : {
"name" : [
"<p class='key' style='color:red'>狂</p><p class='key' style='color:red'>神</p>说前端"
]
}
}
]
}
}
9. 集成SpringBoot
官网
添加依赖
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
自定义配置
package com.xiaofan.config;
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class ElasticSearchClientConfig {
@Bean
public RestHighLevelClient restHighLevelClient() {
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("192.168.1.30", 9201, "http")
)
);
return client;
}
}
编写测试类
package com.xiaofan;
import com.alibaba.fastjson.JSON;
import com.xiaofan.pojo.User;
import org.apache.http.entity.ContentType;
import org.elasticsearch.action.admin.indices.delete.DeleteIndexRequest;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.support.master.AcknowledgedResponse;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.CreateIndexRequest;
import org.elasticsearch.client.indices.CreateIndexResponse;
import org.elasticsearch.client.indices.GetIndexRequest;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.index.query.MatchAllQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.TermQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.FetchSourceContext;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.test.context.SpringBootTest;
import java.io.IOException;
import java.util.ArrayList;
import java.util.concurrent.TimeUnit;
@SpringBootTest
class EsApiApplicationTests {
public static final String INDEX = "xiaofan_test_index";
@Autowired
@Qualifier(value = "restHighLevelClient")
private RestHighLevelClient client;
// 创建索引
@Test
void testCreateIndex() throws IOException {
// 1. 创建索引请求
CreateIndexRequest request = new CreateIndexRequest(INDEX);
// 2. 客户端执行请求， IndicesClient，请求后获得响应
CreateIndexResponse createIndexResponse = client.indices().create(request, RequestOptions.DEFAULT);
System.out.println(createIndexResponse);
}
// 测试索引存在
@Test
void testExistsIndex() throws IOException {
GetIndexRequest request = new GetIndexRequest(INDEX);
boolean exists = client.indices().exists(request, RequestOptions.DEFAULT);
System.out.println(exists);
}
// 删除索引
@Test
void testDeleteIndex() throws IOException {
DeleteIndexRequest request = new DeleteIndexRequest(INDEX);
AcknowledgedResponse acknowledgedResponse = client.indices().delete(request, RequestOptions.DEFAULT);
System.out.println(acknowledgedResponse.isAcknowledged());
}
// 添加文档
@Test
void testAddDocument() throws IOException {
User user = new User("狂神说", 28);
IndexRequest request = new IndexRequest(INDEX);
// 规则 PUT /index/_doc/1
request.id("1");
request.timeout(TimeValue.timeValueSeconds(1));
// 将数据放入请求 json
request.source(JSON.toJSONString(user), XContentType.JSON);
IndexResponse response = client.index(request, RequestOptions.DEFAULT);
System.out.println(response.toString());
System.out.println(response.status());
}
// 获取文档 判断是否存在 GET /index/_doc/1
@Test
void testIsExists() throws IOException {
GetRequest request = new GetRequest(INDEX, "1");
// 不获取返回的 _source 的上下文了
request.fetchSourceContext(new FetchSourceContext(false));
request.storedFields("_none_");
boolean exists = client.exists(request, RequestOptions.DEFAULT);
System.out.println(exists);
}
// 获取文档
/**
* 返回结果：
* {"age":28,"name":"狂神说"}
* {"_index":"xiaofan_test_index","_type":"_doc","_id":"1","_version":1,"_seq_no":0,"_primary_term":1,"found":true,"_source":{"age":28,"name":"狂神说"}}
*/
@Test
void testGetDocument() throws IOException {
GetRequest request = new GetRequest(INDEX, "1");
GetResponse response = client.get(request, RequestOptions.DEFAULT);
System.out.println(response.getSourceAsString());
System.out.println(response);
}
// 更新文档
@Test
void testUpdateDocument() throws IOException {
UpdateRequest request = new UpdateRequest(INDEX, "1");
request.timeout("1s");
User user = new User("小范说Java", 18);
request.doc(JSON.toJSONString(user), XContentType.JSON);
UpdateResponse updateResponse = client.update(request, RequestOptions.DEFAULT);
System.out.println(updateResponse);
}
// 删除文档
@Test
void testDeleteDocument() throws IOException {
DeleteRequest request = new DeleteRequest(INDEX, "1");
request.timeout("1s");
DeleteResponse deleteResponse = client.delete(request, RequestOptions.DEFAULT);
System.out.println(deleteResponse);
}
// 批量插入数据（修改，删除类似操作）
@Test
void testBulkRequest() throws IOException {
BulkRequest request = new BulkRequest();
request.timeout("10s");
ArrayList<User> users = new ArrayList<>();
users.add(new User("kuangshen1", 21));
users.add(new User("kuangshen2", 22));
users.add(new User("kuangshen3", 23));
users.add(new User("xiaofan1", 18));
users.add(new User("xiaofan2", 19));
// 批处理请求， 修改，删除，只要在这里修改相应的请求就可以
for (int i = 0; i < users.size(); i++) {
request.add(new IndexRequest(INDEX)
.id(String.valueOf(i + 1))
.source(JSON.toJSONString(users.get(i)), XContentType.JSON));
}
BulkResponse bulkResponse = client.bulk(request, RequestOptions.DEFAULT);
//是否失败，返回false表示成功
System.out.println(bulkResponse.hasFailures());
}
// 查询文档
@Test
void testSearch() throws IOException {
SearchRequest searchRequest = new SearchRequest(INDEX);
// 构建搜索条件
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
// 查询条件， 可以使用QueryBuilders工具类实现
// QueryBuilders.termQuery 精确
// QueryBuilders.matchLLQuery() 匹配所有
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", "kuangshen1");
// MatchAllQueryBuilder matchAllQueryBuilder = QueryBuilders.matchAllQuery();
sourceBuilder.query(termQueryBuilder);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
searchRequest.source(sourceBuilder);
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSON(searchResponse.getHits()));
System.out.println("======================================");
for (SearchHit documentFields : searchResponse.getHits().getHits()) {
System.out.println(documentFields.getSourceAsMap());
}
}
}
10. 实战：模拟全文搜索-京东搜索
github链接：https://github.com/fanjianhai/CODE/tree/main/SpringBoot/springboot-11-elasticsearch-jd
搭建springboot项目，添加依赖，修改es版本
<properties>
<java.version>1.8</java.version>
<elasticsearch.version>7.9.2</elasticsearch.version>
</properties>
<dependencies>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.73</version>
</dependency>
<dependency>
<groupId>org.jsoup</groupId>
<artifactId>jsoup</artifactId>
<version>1.13.1</version>
</dependency>
</dependencies>
整体效果
最后感谢狂神的视频分享