第一步:创建项目elasticsearch 编写pom文件

<?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> <groupId>com.payease</groupId>
<artifactId>elasticsearch</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging> <name>elasticsearch</name>
<description>Demo project for Spring Boot</description> <parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.9.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent> <properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
<elasticsearch.version>6.1.1</elasticsearch.version>
</properties> <dependencies>
<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>
<scope>test</scope>
</dependency> <!-- Elasticsearch核心依赖包 -->
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>transport</artifactId>
<version>${elasticsearch.version}</version>
</dependency>
<!-- 日志依赖 -->
<!-- ===================== @Getter @Setter @Slf4j @Data ======================== -->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-beans</artifactId>
<version>4.3.12.RELEASE</version>
</dependency>
</dependencies> <build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build> </project>

第二步:ElasticSearch配置的构造:创建MyConfig.java文件

package com.payease.elasticsearch;

import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.TransportAddress;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration; import java.net.InetAddress;
import java.net.UnknownHostException; /**
* ElasticSearch配置的构造
* @Created By liuxiaoming
* @CreateTime 2017/12/27 下午4:41
**/
@Configuration
public class MyConfig { @Bean
public TransportClient client() throws UnknownHostException{ //es集群连接
TransportAddress node = new TransportAddress(
InetAddress.getByName("localhost"),
9300
);
TransportAddress node1 = new TransportAddress(
InetAddress.getByName("localhost"),
9301
);
TransportAddress node2 = new TransportAddress(
InetAddress.getByName("localhost"),
9302
); //es集群配置(自定义配置) 连接自己安装的集群名称
Settings settings = Settings.builder()
.put("cluster.name","xiaoming")
.build(); PreBuiltTransportClient client = new PreBuiltTransportClient(settings); client.addTransportAddress(node);
client.addTransportAddress(node1);
client.addTransportAddress(node2); return client;
}
}

第三步:配置日志文件log4j2.properties

appender.console.type = Console
appender.console.name = console
appender.console.layout.type = PatternLayout
appender.console.layout.pattern = [%t] %-5p %c - %m%n rootLogger.level = info
rootLogger.appenderRef.console.ref = console

第四步:在ElasticsearchApplication 启动类中编写

package com.payease.elasticsearch;

import lombok.extern.slf4j.Slf4j;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchRequestBuilder;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.SearchType;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.format.annotation.DateTimeFormat;
import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*; import java.io.IOException;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Map; @SpringBootApplication
@RestController
@Slf4j
public class ElasticsearchApplication { @Autowired
private TransportClient client; /*@GetMapping("/")
public String index(){return "index";}*/ //单一查询
@GetMapping("/get/book/novel")
@ResponseBody
public ResponseEntity get(@RequestParam(name = "id",defaultValue = "") String id){
if(id.isEmpty()){
return new ResponseEntity(HttpStatus.NOT_FOUND);
} GetResponse result = this.client.prepareGet("book", "novel", id).get(); if(!result.isExists()){
return new ResponseEntity(HttpStatus.NOT_FOUND);
} return new ResponseEntity(result.getSource(), HttpStatus.OK);
} //新增
@PostMapping("add/book/novel")
@ResponseBody
public ResponseEntity add(
@RequestParam(name = "title") String title,
@RequestParam(name = "author") String author,
@RequestParam(name = "word_count") int wordCount,
@RequestParam(name = "publish_date")
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
Date publishDate){
try {
XContentBuilder content = XContentFactory.jsonBuilder()
.startObject()
.field("title", title)
.field("author", author)
.field("word_count", wordCount)
.field("publish_date", publishDate.getTime())
.endObject(); IndexResponse result = this.client.prepareIndex("book", "novel")
.setSource(content)
.get();
return new ResponseEntity(result.getId(),HttpStatus.OK);
}catch (IOException e){
e.printStackTrace();
return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);
} } //删除
@DeleteMapping("delete/book/novel")
@ResponseBody
public ResponseEntity delete(@RequestParam(name = "id") String id){
DeleteResponse result = this.client.prepareDelete("book", "novel", id).get();
return new ResponseEntity(result.getResult().toString(),HttpStatus.OK);
}
public static void main(String[] args) {
SpringApplication.run(ElasticsearchApplication.class, args);
} //修改
@PutMapping("update/book/novel")
@ResponseBody
public ResponseEntity update(
@RequestParam(name = "id") String id,
@RequestParam(name = "title", required = false) String title,
@RequestParam(name = "author", required = false) String author
){
UpdateRequest update = new UpdateRequest("book", "novel", id); try {
XContentBuilder builder= XContentFactory.jsonBuilder().startObject();
if (title != null){
builder.field("title", title);
}
if(author != null){
builder.field("author", author);
}
builder.endObject();
update.doc(builder); } catch (IOException e) {
e.printStackTrace();
return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);
} try {
UpdateResponse result = this.client.update(update).get();
return new ResponseEntity(result.getResult().toString(), HttpStatus.OK);
} catch (Exception e) {
e.printStackTrace();
return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);
}
} //复合查询
@PostMapping("query/book/novel")
@ResponseBody
public ResponseEntity query(
@RequestParam(name = "author", required = false) String author,
@RequestParam(name = "title", required = false) String title,
@RequestParam(name = "gt_word_count", defaultValue = "0") int gtWordCount,
@RequestParam(name = "lt_word_count", required = false) Integer ltWordCount
){
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery(); if(author != null){
boolQuery.must(QueryBuilders.matchQuery("author", author));
} if(title != null){
boolQuery.must(QueryBuilders.matchQuery("title", title));
} RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("word_count").from(gtWordCount); if(ltWordCount != null && ltWordCount > 0){
rangeQuery.to(ltWordCount);
} boolQuery.filter(rangeQuery); SearchRequestBuilder builder = this.client.prepareSearch("book")
.setTypes("novel")
.setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
.setQuery(boolQuery)
.setFrom(0)
.setSize(10); log.info(String.valueOf(builder)); SearchResponse response = builder.get();
List<Map<String, Object>> result = new ArrayList<>(); for (SearchHit hit : response.getHits()){
result.add(hit.getSourceAsMap());
}
return new ResponseEntity(result, HttpStatus.OK); }
}

第五步:启动项目 进行postman验证

1.添加操作:

  1.1 postman请求: POST   localhost:8080/add/book/novel

           添加参数,点击send发送请求

          得到返回值:PFZZl2AB7nlxAXYrVdBg

2.单一查询操作:

  2.1 postman请求: GET   localhost:8080/get/book/novel?id=PFZZl2AB7nlxAXYrVdBg

     点击send发送请求

   得到响应数据     

{
"word_count": 1000,
"author": "作者",
"title": "标题",
"publish_date": 1503590400000
}

3.删除操作:

  3.1 postman请求: DELETE   localhost:8080/delete/book/novel?id=PFZZl2AB7nlxAXYrVdBg

     点击send发送请求

   得到响应数据

DELETED

4.修改操作:

  4.1 postman请求: PUT   localhost:8080/update/book/novel

     点击send发送请求

   得到响应数据

UPDATED

4.复合查询:

  4.1 postman请求: POST   localhost:8080/query/book/novel

     点击send发送请求

   得到响应数据

[
{
"word_count": 1000,
"author": "晓明修改",
"title": "标题",
"publish_date": 1503590400000
}
]

4.2 idea控制台打印信息

{
"from": 0,
"size": 10,
"query": {
"bool": {
"must": [
{
"match": {
"author": {
"query": "晓明",
"operator": "OR",
"prefix_length": 0,
"max_expansions": 50,
"fuzzy_transpositions": true,
"lenient": false,
"zero_terms_query": "NONE",
"auto_generate_synonyms_phrase_query": true,
"boost": 1
}
}
},
{
"match": {
"title": {
"query": "标题",
"operator": "OR",
"prefix_length": 0,
"max_expansions": 50,
"fuzzy_transpositions": true,
"lenient": false,
"zero_terms_query": "NONE",
"auto_generate_synonyms_phrase_query": true,
"boost": 1
}
}
}
],
"filter": [
{
"range": {
"word_count": {
"from": 0,
"to": 2000,
"include_lower": true,
"include_upper": true,
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
}
}

ElasticSearch入门3: Spring Boot集成ElasticSearch的更多相关文章

  1. Kafka 入门和 Spring Boot 集成

    目录 Kafka 入门和 Spring Boot 集成 标签:博客 概述 应用场景 基本概念 基本结构 和Spring Boot 集成 集成概述 集成环境 kafka 环境搭建 Spring Boot ...

  2. Spring Boot 集成 Elasticsearch 实战

    最近有读者问我能不能写下如何使用 Spring Boot 开发 Elasticsearch(以下简称 ES) 相关应用,今天就讲解下如何使用 Spring Boot 结合 ES. 可以在 ES 官方文 ...

  3. Elasticsearch学习(3) spring boot整合Elasticsearch的原生方式

    前面我们已经介绍了spring boot整合Elasticsearch的jpa方式,这种方式虽然简便,但是依旧无法解决我们较为复杂的业务,所以原生的实现方式学习能够解决这些问题,而原生的学习方式也是E ...

  4. Elasticsearch学习(4) spring boot整合Elasticsearch的聚合操作

    之前已将spring boot原生方式介绍了,接下将结介绍的是Elasticsearch聚合操作.聚合操作一般来说是解决一下复杂的业务,比如mysql中的求和和分组,由于博主踩的坑比较多,所以博客可能 ...

  5. Elasticsearch学习(1) Spring boot整合Elasticsearch

    本文的Spring Boot版本为1.5.9,Elasticsearch版本为2.4.4,话不多说,直接上代码. 一.启动Elasticsearch 在官网上下载Elasticsearch后,打开bi ...

  6. spring boot与ElasticSearch的集成

    本文主要介绍Spring boot与ElasticSearch的集成,因为Spring boot的教程以及ElasticSearch的学习其他博客可能更优秀,所以建议再看这篇文章前先学习学习一下Spr ...

  7. ElasticSearch与Spring Boot集成问题

    1.None of the configured nodes are available 或者 org.elasticsearch.transport.RemoteTransportException ...

  8. Spring Boot整合Elasticsearch

    Spring Boot整合Elasticsearch   Elasticsearch是一个全文搜索引擎,专门用于处理大型数据集.根据描述,自然而然使用它来存储和搜索应用程序日志.与Logstash和K ...

  9. spring boot 整合 elasticsearch 5.x

    spring boot与elasticsearch集成有两种方式.一种是直接使用elasticsearch.一种是使用data中间件. 本文只指针使用maven集成elasticsearch 5.x, ...

随机推荐

  1. Ubuntu下配置PHP和CakePHP记录

    目前在完成一个PayPal的支付页面,需要有PHP的开发环境,同时,在开发时使用了CakePHP的框架,于是就有了下面的情景. 操作环境: OS:ubuntu-14.04.2-desktop-amd6 ...

  2. Ubuntu 默认启动到命令行 12.04

    源文链接:http://my.oschina.net/jackguo/blog/85706 代码: sudo gedit /etc/default/grub 引用: GRUB_CMDLINE_LINU ...

  3. 20155205 2016-2017-2 《Java程序设计》第8周学习总结

    20155205 2016-2017-2 <Java程序设计>第8周学习总结 教材学习内容总结 第十四章 NIO使用频道来衔接数据节点,可以设定缓冲区容量,在缓冲区中对感兴趣的数据区块进行 ...

  4. 富文本粘贴word文档内容图片处理

    公司做的项目要用到文本上传功能. 网上找了很久,大部分都有一些不成熟的问题,终于让我找到了一个成熟的项目. 下面就来看看: 1.打开工程: 对于文档的上传我们需要知道这个项目是否符合我们的初衷. 运行 ...

  5. day3用户交互,格式化输出,数据类型,流程控制

    上节课复习: 1.运行python程序的三步骤:python test.py 1.先启动python解释器 2.将test.py的内容当作普通的字符读入内存 3.python解释器解释执行刚刚读入内存 ...

  6. Java数据类型、操作符、表达式

    基本与C#相同,因C#从Java学的   如操作符     对象的Equals方法,比较两个对象的内容是否相等.     ==是比较是否引用同一对象.

  7. JAVA-部署-摘

    一.下载 J2SDK下载http://java.sun.com/j2se/1.4.2/download.html  下载版本是j2sdk-1_4_2_08 ECLIPSE下载http://www.ec ...

  8. spring整合quartz时间任务调度框架

    spring整合quartz框架 1.创建maven工程 2.导入jar包(pom.xml) <dependencies> <dependency> <groupId&g ...

  9. spring之IOC和DI实现

    Spring核心思想 : IOC控制反转 DI依赖注入 AOP切面编程 IOC思想: 场景描述: 在没有加入spring框架之前我们调取业务层时需要创建对象,例如:  接口名   变量名=new  接 ...

  10. openresty + lua 2、openresty 连接 redis,实现 crud

    redis 的话,openresty 已经集成,ng 的话,自己引入即可. github 地址:https://github.com/openresty/lua-resty-redis github  ...