springboot整合elasticsearch常用的方式有以下三种
1，Java API这种方式基于TCP和ES通信，官方已经明确表示在ES 7.0版本中将弃用TransportClient客户端，且在8.0版本中完全移除它,所以不提倡。2，REST Client
上面的方式1是基于TCP和ES通信的(而且TransPort将来会被抛弃……)，官方也给出了基于HTTP的客户端REST Client(推荐使用)，官方给出来的REST Client有Java Low Level REST Client和Java Hight Level REST Client两个，前者兼容所有版本的ES，后者是基于前者开发出来的，只暴露了部分API，待完善3，spring-data-elasticsearch
除了上述方式，Spring也提供了本身基于SpringData实现的一套方案spring-data-elasticsearch我们今天就来为大家讲解spring-data-elasticsearch这种方式来集成es。为什们推荐这种呢，因为这种方式spring为我们封装了常见的es操作。和使用jpa操作数据库一样方便。用过jpa的同学一定知道。
jpa只需要简单继承JpaRepository就可以实现对数据库表的crud操作
public interface UserRepository extends JpaRepository<UserBean, Long> {}
spring-data-elasticsearch同样，只要继承ElasticsearchRepository就可以实现常见的es操作了。
public interface UserESRepository extends ElasticsearchRepository<UserBean, Long> {}
下面我们就来讲解下springboot2继承 spring-data-elasticsearch的具体步骤。
springboot版本Elasticsearch版本2.1.3.RELEASE6.4.3
一，首先是创建springboot项目
如上图箭头所指，springboot版本选2.1.3，然后添加web和elasticsearch仓库
创建项目完成后，我们完整的pom.xml文件如下<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.1.3.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>com.qcl</groupId>
<artifactId>es</artifactId>
<version>0.0.1</version>
<name>es</name>
<description>Demo project for Spring Boot</description>
<properties>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>
spring-boot-starter-data-elasticsearch:就是我们所需要集成的es。
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
二，下载elasticsearch本地版本
这里下载本地elasticsearch，其实和我们下载本地MysqL是一样的，你要用elasticsearch肯定要下载一个本地版本用来存储查询数据啊。下面来简单的讲解下elasticsearch版本的下载步骤
1，到官网
https://www.elastic.co/downloads/
选择箭头所指，点击download
选择你所对应的系统，这里要注意，虽然官方最新版本是6.6.2，我们springboot项目里使用的是6.4.3版本。这个没有关系的，官方版本是向下兼容的。2，下载成功后解压，并进入到config文件夹下
进入config文件夹后，找到elasticsearch.yml
然后用下面这个文件替换elasticsearch.yml里面的内容
# ======================== Elasticsearch Configuration =========================
#
# NOTE: Elasticsearch comes with reasonable defaults for most settings.
# Before you set out to tweak and tune the configuration, make sure you
# understand what are you trying to accomplish and the consequences.
#
# The primary way of configuring a node is via this file. This template lists
# the most important settings you may want to configure for a production cluster.
#
# Please consult the documentation for further @R_81_4045@ion on configuration options:
# https://www.elastic.co/guide/en/elasticsearch/reference/index.html
#
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: my-application
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-1
#
# Add custom attributes to the node:
#
#node.attr.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#
#path.data: /path/to/data
#
# Path to log files:
#
#path.logs: /path/to/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
#bootstrap.memory_lock: true
#
# Make sure that the heap size is set to about half the memory available
# on the system and that the owner of the process is allowed to use this
# limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
#
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 0.0.0.0
#
# Set a custom port for HTTP:
#
http.port: 9200
#
# For more @R_81_4045@ion, consult the network module documentation.
#
# --------------------------------- discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
#discovery.zen.ping.unicast.hosts: ["host1", "host2"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):
#
#discovery.zen.minimum_master_nodes:
#
# For more @R_81_4045@ion, consult the zen discovery module documentation.
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
#gateway.recover_after_nodes: 3
#
# For more @R_81_4045@ion, consult the gateway module documentation.
#
# ---------------------------------- VarIoUs -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true
#qcl自己加的
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true
node.data: true
这里的cluster.name: my-application就代表我们的es的名称叫my-application
3，启动es
进入到bin文件
点击elasticsearch脚本，即可启动es，脚本运行完，在浏览器中输入http://localhost:9200/如果出现下面信息，就代表es启动成功。
三，配置es
在创建的springboot项目下的application.yml做如下配置
#url相关配置，这里配置url的基本url
server:
port: 8080
spring:
## Elasticsearch配置文件（必须）
## 该配置和Elasticsearch本地文件config下的elasticsearch.yml中的配置信息有关
data:
elasticsearch:
cluster-name: my-application
cluster-nodes: 127.0.0.1:9300
四，添加数据到es，并实现搜索
1，创建bean我们像jpa那样，创建es自己的bean，如下package com.qcl.es;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;
/**
* Created by qcl on 2018/7/10.
* ES相关
*/
@Document(indexName = "user", type = "docs", shards = 1, replicas = 0)
public class UserES {
//主键自增长
@Id
private Long id;//主键
@Field(type = FieldType.Text, analyzer = "ik_max_word")
private String userName;
private String userPhone;
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public String getUserName() {
return userName;
}
public void setUserName(String userName) {
this.userName = userName;
}
public String getUserPhone() {
return userPhone;
}
public void setUserPhone(String userPhone) {
this.userPhone = userPhone;
}
@Override
public String toString() {
return "UserES{" +
"userId=" + id +
", userName='" + userName + ''' +
", userPhone='" + userPhone + ''' +
'}';
}
}
2,创建操作数据的Repository
package com.qcl.es;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
/**
* Created by qcl on 2019-03-23
* 微信：2501902696
* desc:
*/
public interface UserESRepository extends ElasticsearchRepository<UserES, Long> {}
3，创建controller
package com.qcl.es;
import org.elasticsearch.index.query.QueryBuilders;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
/**
* Created by qcl on 2019-03-23
* 微信：2501902696
* desc:
*/
@RestController
public class UserController {
@Autowired
private UserESRepository repositoryES;
@GetMapping("/create")
public String create(
@RequestParam("id") Long id,
@RequestParam("userName") String userName,
@RequestParam("userPhone") String userPhone) {
UserES userES = new UserES();
userES.setId(id);
userES.setUserName(userName);
userES.setUserPhone(userPhone);
return repositoryES.save(userES).toString();
}
private String names;
@GetMapping("/get")
public String get() {
names = "";
Iterable<UserES> userES = repositoryES.findAll();
userES.forEach(userES1 -> {
names += userES1.toString() + "n";
});
return names;
}
private String searchs = "";
@GetMapping("/search")
public String search(@RequestParam("searchKey") String searchKey) {
searchs = "";
// 构建查询条件
NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
queryBuilder.withQuery(QueryBuilders.matchQuery("userName", searchKey));
Page<UserES> items = repositoryES.search(queryBuilder.build());
// 总条数
long total = items.getTotalElements();
searchs += "总共数据数：" + total + "n";
items.forEach(userES -> {
searchs += userES.toString() + "n";
});
return searchs;
}
}
启动springboot项目
我们简单的实现了
插入一个userName='李四'&userPhone='272501902696'的数据http://localhost:8080/create?id=5&userName='李四'&userPhone='272501902696'
查询上面的数据是否插入成功，可以看到李四这条数据已经成功插入。
搜索 userName包含'四'的信息，可以看到，成功感搜索到一条
搜索 userName包含'石'的信息，可以看到，成功感搜索到4条
到此我们就实现了springboot集成es的功能。后面我们再做复杂搜索就基于这个基础上做对应的操作即可。
有任何关于编程的问题都可以留言或者私信我，我看到后会及时解答。
编程小石头，码农一枚，非著名全栈开发人员。分享自己的一些经验，学习心得，希望后来人少走弯路，少填坑。
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