elasticsearch+logstash并使用java代码实现日志检索

#创建用户

useradd querylog

#设置密码

passwd queylog

#授权sudo权限

查找sudoers文件位置

whereis sudoers

#修改文件为可编辑

chmod -v u+w /etc/sudoers

#编辑文件

vi /etc/sudoers

#收回权限

chmod -v u-w /etc/sudoers

#第一次使用sudo会有提示

We trust you have received the usual lecture from the local System

Administrator. It usually boils down to these three things:

  # 1 ) Respect the privacy of others.

  # 2 ) Think before you type.

  # 3 ) With great power comes great responsibility.

用户创建完成。

su queylog

cd /home/queylog

#解压jdk-8u191-linux-x64.tar.gz

tar -zxvf jdk-8u191-linux-x64.tar.gz

sudo mv jdk1. 8 .0_191 /opt/jdk1. 8

#编辑/ect/profile

vi /ect/profile

export JAVA_HOME=/opt/jdk1. 8

export JRE_HOME=$JAVA_HOME/jre

export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH

export PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$PATH

#刷新配置文件

source /ect/profile

#查看jdk版本

java -verion

#放行指定IP

firewall-cmd --permanent --add-rich-rule= "rule family=" ipv4 " source address=" 172.16 . 110.55 " accept"

#重新载入

firewall-cmd --reload

su queylog

cd /home/queylog

#解压elasticsearch- 6.5 . 4 .tar.gz

tar -zxvf elasticsearch- 6.5 . 4 .tar.gz

sudo mv elasticsearch- 6.5 . 4 /opt/elasticsearch

#编辑es配置文件

vi /opt/elasticsearch/config/elasticsearch.yml

# 配置es的集群名称

cluster.name: elastic

# 修改服务地址

network.host: 192.168 . 8.224

# 修改服务端口

http.port: 9200

#切换root用户

su root

#修改/etc/security/limits.conf 追加以下内容

vi /etc/security/limits.conf

* hard nofile 655360

* soft nofile 131072

* hard nproc 4096

* soft nproc 2048

#编辑 /etc/sysctl.conf，追加以下内容：

vi /etc/sysctl.conf

vm.max_map_count= 655360

fs.file-max= 655360

#保存后，重新加载：

sysctl -p

#切换回普通用户

su queylog

#启动elasticsearch

./opt/elasticsearch/bin/elasticsearch

#测试

curl http: //192.168.8.224:9200

#控制台会打印

{

  "name" : "L_dA6oi" ,

  "cluster_name" : "elasticsearch" ,

  "cluster_uuid" : "eS7yP6fVTvC8KMhLutOz6w" ,

  "version" : {

  "number" : "6.5.4" ,

  "build_flavor" : "default" ,

  "build_type" : "tar" ,

  "build_hash" : "d2ef93d" ,

  "build_date" : "2018-12-17T21:17:40.758843Z" ,

  "build_snapshot" : false ,

  "lucene_version" : "7.5.0" ,

  "minimum_wire_compatibility_version" : "5.6.0" ,

  "minimum_index_compatibility_version" : "5.0.0"

  },

  "tagline" : "You Know, for Search"

}

#切换root用户

su root

#编写服务配置文件

vi /usr/lib/systemd/system/elasticsearch.service

[unit]

Description=Elasticsearch

Documentation=http: //www.elastic.co

Wants=network-online.target

After=network-online.target

[Service]

Environment=ES_HOME=/opt/elasticsearch

Environment=ES_PATH_CONF=/opt/elasticsearch/config

Environment=PID_DIR=/opt/elasticsearch/config

EnvironmentFile=/etc/sysconfig/elasticsearch

WorkingDirectory=/opt/elasticsearch

User=queylog

Group=queylog

ExecStart=/opt/elasticsearch/bin/elasticsearch -p ${PID_DIR}/elasticsearch.pid

# StandardOutput is configured to redirect to journalctl since

# some error messages may be logged in standard output before

# elasticsearch logging system is initialized. Elasticsearch

# stores its logs in /var/log/elasticsearch and does not use

# journalctl by default . If you also want to enable journalctl

# logging, you can simply remove the "quiet" option from ExecStart.

StandardOutput=journal

StandardError=inherit

# Specifies the maximum file descriptor number that can be opened by this process

LimitNOFILE= 65536

# Specifies the maximum number of process

LimitNPROC= 4096

# Specifies the maximum size of virtual memory

LimitAS=infinity

# Specifies the maximum file size

LimitFSIZE=infinity

# Disable timeout logic and wait until process is stopped

TimeoutStopSec= 0

# SIGTERM signal is used to stop the Java process

KillSignal=SIGTERM

# Send the signal only to the JVM rather than its control group

KillMode=process

# Java process is never killed

SendSIGKILL=no

# When a JVM receives a SIGTERM signal it exits with code 143

SuccessExitStatus= 143

[Install]

WantedBy=multi-user.target

vi /etc/sysconfig/elasticsearch

elasticsearch #

#######################

# Elasticsearch home directory

ES_HOME=/opt/elasticsearch

# Elasticsearch Java path

JAVA_HOME=/home/liyijie/jdk1. 8

CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JAVA_HOMR/jre/lib

# Elasticsearch configuration directory

ES_PATH_CONF=/opt/elasticsearch/config

# Elasticsearch PID directory

PID_DIR=/opt/elasticsearch/config

#############################

# Elasticsearch Service #

#############################

# SysV init.d

# The number of seconds to wait before checking if elasticsearch started successfully as a daemon process

ES_STARTUP_SLEEP_TIME= 5

################################

# Elasticsearch Properties #

################################

# Specifies the maximum file descriptor number that can be opened by this process

# When using Systemd, this setting is ignored and the LimitNOFILE defined in

# /usr/lib/systemd/system/elasticsearch.service takes precedence

#MAX_OPEN_FILES= 65536

# The maximum number of bytes of memory that may be locked into RAM

# Set to "unlimited" if you use the 'bootstrap.memory_lock: true' option

# in elasticsearch.yml.

# When using Systemd,LimitMEMLOCK must be set in a unit file such as

# /etc/systemd/system/elasticsearch.service.d/override.conf.

#MAX_LOCKED_MEMORY=unlimited

# Maximum number of VMA(Virtual Memory Areas) a process can own

# When using Systemd, this setting is ignored and the 'vm.max_map_count'

# property is set at boot time in /usr/lib/sysctl.d/elasticsearch.conf

#MAX_MAP_COUNT= 262144

# 重新加载服务

systemctl daemon-reload

#切换普通用户

su queylog

#启动elasticsearch

sudo systemctl start elasticsearch

#设置开机自启动

sudo systemctl enable elasticsearch

su queylog

cd /home/queylog

#解压 logstash- 6.5 . 4 .tar.gz

tar -zxvf logstash- 6.5 . 4 .tar.gz

sudo mv logstash- 6.5 . 4 /opt/logstash

#编辑es配置文件

vi /opt/logstash/config/logstash.yml

xpack.monitoring.enabled: true

xpack.monitoring.elasticsearch.username: elastic

xpack.monitoring.elasticsearch.password: changeme

xpack.monitoring.elasticsearch.url: [ "http://192.168.8.224:9200" ]

#在bin目录下创建logstash.conf

vi /opt/logstash/bin/logstash.conf

input {

# 以文件作为来源

file {

# 日志文件路径

path => "/opt/tomcat/logs/catalina.out"

start_position => "beginning" # (end, beginning)

type=> "isp"

}

}

#filter {

#定义数据的格式，正则解析日志（根据实际需要对日志日志过滤、收集）

#grok { 

# match => { "message" => "%{IPV4:clientIP}|%{GREEDYDATA:request}|%{NUMBER:duration}" }

#}  

#根据需要对数据的类型转换 

#mutate { convert => { "duration" => "integer" }}

#}

# 定义输出

output {

elasticsearch {

hosts => "192.168.43.211:9200" #Elasticsearch 默认端口

index => "ind"

document_type => "isp"

}

}

#给该用户授权

chown queylog:queylog /opt/logstash

#启动logstash

./opt/logstash/bin/logstash -f logstash.conf

# 安装并配置启动logstash后查看es索引是否创建完成

curl http: //192.168.8.224:9200/_cat/indices

System.setProperty( "es.set.netty.runtime.available.processors" , "false" );

<dependency>

    <groupId>org.springframework.boot</groupId>

    <artifactId>spring-boot-starter-data-elasticsearch</artifactId>

   </dependency>

spring.data.elasticsearch.cluster-name=elastic

# restapi使用 9200

# java程序使用 9300

spring.data.elasticsearch.cluster-nodes= 192.168 . 43.211 : 9300

import org.springframework.data.elasticsearch.annotations.Document;

import org.springframework.data.elasticsearch.annotations.Field;

@Document (indexName = "ind" , type = "isp" )

public class Bean {

  @Field

  private String message;

  public String getMessage() {

   return message;

  }

  public void setMessage(String message) {

   this .message = message;

  }

  @Override

  public String toString() {

   return "Tomcat{" +

     ", message='" + message + '\ '' +

     '}' ;

  }

}

import java.util.Map;

public interface IElasticSearchService {

   Map<String, Object> search(String keywords, Integer currentPage, Integer pageSize) throws Exception ;

     //特殊字符转义

   default String escape( String s) {

   StringBuilder sb = new StringBuilder();

   for ( int i = 0 ; i < s.length(); ++i) {

    char c = s.charAt(i);

    if (c == '\\' || c == '+' || c == '-' || c == '!' || c == '(' || c == ')' || c == ':' || c == '^' || c == '[' || c == ']' || c == '"' || c == '{' || c == '}' || c == '~' || c == '*' || c == '?' || c == '|' || c == '&' || c == '/' ) {

     sb.append( '\\' );

    }

    sb.append(c);

   }

   return sb.toString();

  }

}

import org.elasticsearch.index.query.BoolQueryBuilder;

import org.elasticsearch.index.query.QueryBuilders;

import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;

import org.slf4j.Logger;

import org.slf4j.LoggerFactory;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.data.domain.PageRequest;

import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;

import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;

import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;

import org.springframework.stereotype.Service;

import javax.annotation.Resource;

import java.util.ArrayList;

import java.util.HashMap;

import java.util.List;

import java.util.Map;

/**

  * ElasticSearch实现类

  */

@Service

public class ElasticSearchServiceImpl implements IElasticSearchService {

  Logger log = LoggerFactory.getLogger(ElasticSearchServiceImpl. class );

  @Autowired

  ElasticsearchTemplate elasticsearchTemplate;

  @Resource

  HighlightResultHelper highlightResultHelper;

  @Override

  public Map<String, Object> search(String keywords, Integer currentPage, Integer pageSize) {

   keywords= escape(keywords);

    currentPage = Math.max(currentPage - 1 , 0 );

   List<HighlightBuilder.Field> highlightFields = new ArrayList<>();

  //设置高亮 把查询到的关键字进行高亮

   HighlightBuilder.Field message = new HighlightBuilder.Field( "message" ).fragmentOffset( 80000 ).numOfFragments( 0 ).requireFieldMatch( false ).preTags( "<span style='color:red'>" ).postTags( "</span>" );

   highlightFields.add(message);

   HighlightBuilder.Field[] highlightFieldsAry = highlightFields.toArray( new HighlightBuilder

     .Field[highlightFields.size()]);

   //创建查询构造器

   NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();

   //过滤 按字段权重进行搜索 查询内容不为空按关键字、摘要、其他属性权重

   BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();

   queryBuilder.withPageable(PageRequest.of(currentPage, pageSize));

   if (!MyStringUtils.isEmpty(keywords)){

    boolQueryBuilder.must(QueryBuilders.queryStringQuery(keywords).field( "message" ));

   }

   queryBuilder.withQuery(boolQueryBuilder);

   queryBuilder.withHighlightFields(highlightFieldsAry);

   log.info( "查询语句：{}" , queryBuilder.build().getQuery().toString());

   //查询

   AggregatedPage<Bean> result = elasticsearchTemplate.queryForPage(queryBuilder.build(), Bean

     . class ,highlightResultHelper);

   //解析结果

   long total = result.getTotalElements();

   int totalPage = result.getTotalPages();

   List<Bean> blogList = result.getContent();

   Map<String, Object> map = new HashMap<>();

   map.put( "total" , total);

   map.put( "totalPage" , totalPage);

   map.put( "pageSize" , pageSize);

   map.put( "currentPage" , currentPage + 1 );

   map.put( "blogList" , blogList);

   return map;

  }

import com.alibaba.fastjson.JSONObject;

import org.apache.commons.beanutils.PropertyUtils;

import org.elasticsearch.action.search.SearchResponse;

import org.elasticsearch.common.text.Text;

import org.elasticsearch.search.SearchHit;

import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;

import org.slf4j.Logger;

import org.slf4j.LoggerFactory;

import org.springframework.data.domain.Pageable;

import org.springframework.data.elasticsearch.core.SearchResultMapper;

import org.springframework.data.elasticsearch.core.aggregation.AggregatedPage;

import org.springframework.data.elasticsearch.core.aggregation.impl.AggregatedPageImpl;

import org.springframework.stereotype.Component;

import org.springframework.util.StringUtils;

import java.lang.reflect.InvocationTargetException;

import java.util.ArrayList;

import java.util.List;

/**

  * ElasticSearch高亮配置

  */

@Component

public class HighlightResultHelper implements SearchResultMapper {

  Logger log = LoggerFactory.getLogger(HighlightResultHelper. class );

  @Override

  public <T> AggregatedPage<T> mapResults(SearchResponse response, Class<T> clazz, Pageable pageable) {

   List<T> results = new ArrayList<>();

   for (SearchHit hit : response.getHits()) {

    if (hit != null ) {

     T result = null ;

     if (StringUtils.hasText(hit.getSourceAsString())) {

      result = JSONObject.parseObject(hit.getSourceAsString(), clazz);

     }

     // 高亮查询

     for (HighlightField field : hit.getHighlightFields().values()) {

      try {

       PropertyUtils.setProperty(result, field.getName(), concat(field.fragments()));

      } catch (IllegalAccessException | InvocationTargetException | NoSuchMethodException e) {

       log.error( "设置高亮字段异常：{}" , e.getMessage(), e);

      }

     }

     results.add(result);

    }

   }

   return new AggregatedPageImpl<T>(results, pageable, response.getHits().getTotalHits(), response

     .getAggregations(), response.getScrollId());

  }

  public <T> T mapSearchHit(SearchHit searchHit, Class<T> clazz) {

   List<T> results = new ArrayList<>();

   for (HighlightField field : searchHit.getHighlightFields().values()) {

    T result = null ;

    if (StringUtils.hasText(searchHit.getSourceAsString())) {

     result = JSONObject.parseObject(searchHit.getSourceAsString(), clazz);

    }

    try {

     PropertyUtils.setProperty(result, field.getName(), concat(field.fragments()));

    } catch (IllegalAccessException | InvocationTargetException | NoSuchMethodException e) {

     log.error( "设置高亮字段异常：{}" , e.getMessage(), e);

    }

    results.add(result);

   }

   return null ;

  }

  private String concat(Text[] texts) {

   StringBuffer sb = new StringBuffer();

   for (Text text : texts) {

    sb.append(text.toString());

   }

   return sb.toString();

  }

}

import org.junit.Test;

import org.junit.runner.RunWith;

import org.slf4j.Logger;

import org.slf4j.LoggerFactory;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.boot.test.context.SpringBootTest;

import org.springframework.test.context.junit4.SpringRunner;

@RunWith (SpringRunner. class )

@SpringBootTest (classes = CbeiIspApplication. class )

public class ElasticSearchServiceTest {w

  private static Logger logger= LoggerFactory.getLogger(EncodePhoneAndCardTest. class );

  @Autowired

  private IElasticSearchService elasticSearchService;

     @Test

  public ResponseVO getLog(){

   try {

   Map<String, Object> search = elasticSearchService.search( "Exception" , 1 , 10 );

    logger.info( JSON.toJSONString(search));

   } catch (Exception e) {

    e.printStackTrace();

   }

}