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. excel2007VBA绘图2

    '--------------------------------------------------------Module1------------------------------------ ...

  2. asp.net DataReader DataTable 使用反射给给实体赋值

    asp.net 使用反射给给实体赋值 实体类继承此基类 using System.Reflection; using System.Data.SqlClient; using System.Data; ...

  3. AtCoder Beginner Contest-060

    A - Shiritori Problem Statement You are given three strings A, B and C. Check whether they form a wo ...

  4. 【2】C#读取文本文件

    一.读取

  5. (转)JDK安装配置教程

    转自:http://jingyan.baidu.com/article/bea41d435bc695b4c41be648.html JDK作为JAVA开发的环境,不管是做JAVA开发的学生,还是做安卓 ...

  6. C++插件架构浅谈与初步实现

    一.插件架构初步介绍 想到写本博客,也没想到更好的名字,目前就先命这个名吧.说到插件架构,或许大部分IT从业者都听过或者某些牛人也自己实现过稳定高效的插件框架.目前有很多软件以及库都是基于插件架构,例 ...

  7. Brain Rules: 12 Principles for Surviving and Thriving at Work, Home, and School

    选自 https://litemind.com/brain-rules/

  8. Advice from an Old Programmer

    You’ve finished this book and have decided to continue with programming. Maybe it will be a career f ...

  9. deeplearning 源码收集

    Theano – CPU/GPU symbolic expression compiler in python (from MILA lab at University of Montreal) To ...

  10. Linux高级文件系统管理(8)

    如果您的 Linux 服务器有多个用户经常存取数据时,为了维护所有使用者在硬盘容量的公平使用,磁碟配额 (Quota) 就是一项非常有用的工具,另外,如果你的用户常常抱怨磁盘容量不够用,那么更进阶的文 ...