elasticsearch+logstash并使用java代码实现日志检索
为了项目日志不被泄露,数据展示不采用Kibana
1、环境准备
1.1创建普通用户
#创建用户 useraddquerylog #设置密码 passwdqueylog #授权sudo权限 查找sudoers文件位置 whereissudoers #修改文件为可编辑 chmod-vu+w/etc/sudoers #编辑文件 vi/etc/sudoers #收回权限 chmod-vu-w/etc/sudoers #第一次使用sudo会有提示 WetrustyouhavereceivedtheusuallecturefromthelocalSystem Administrator.Itusuallyboilsdowntothesethreethings: #1)Respecttheprivacyofothers. #2)Thinkbeforeyoutype. #3)Withgreatpowercomesgreatresponsibility. 用户创建完成。
1.2安装jdk
suqueylog cd/home/queylog #解压jdk-8u191-linux-x64.tar.gz tar-zxvfjdk-8u191-linux-x64.tar.gz sudomvjdk1.8.0_191/opt/jdk1.8 #编辑/ect/profile vi/ect/profile exportJAVA_HOME=/opt/jdk1.8 exportJRE_HOME=$JAVA_HOME/jre exportCLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH exportPATH=$JAVA_HOME/bin:$JRE_HOME/bin:$PATH #刷新配置文件 source/ect/profile #查看jdk版本 java-verion
1.3防火墙设置
#放行指定IP firewall-cmd--permanent--add-rich-rule="rulefamily="ipv4"sourceaddress="172.16.110.55"accept" #重新载入 firewall-cmd--reload
2、安装elasticsearch
2.1elasticsearch配置
注意:elasticsearch要使用普通用户启动要不然会报错
suqueylog cd/home/queylog #解压elasticsearch-6.5.4.tar.gz tar-zxvfelasticsearch-6.5.4.tar.gz sudomvelasticsearch-6.5.4/opt/elasticsearch #编辑es配置文件 vi/opt/elasticsearch/config/elasticsearch.yml #配置es的集群名称 cluster.name:elastic #修改服务地址 network.host:192.168.8.224 #修改服务端口 http.port:9200 #切换root用户 suroot #修改/etc/security/limits.conf追加以下内容 vi/etc/security/limits.conf *hardnofile655360 *softnofile131072 *hardnproc4096 *softnproc2048 #编辑/etc/sysctl.conf,追加以下内容: vi/etc/sysctl.conf vm.max_map_count=655360 fs.file-max=655360 #保存后,重新加载: sysctl-p #切换回普通用户 suqueylog #启动elasticsearch ./opt/elasticsearch/bin/elasticsearch #测试 curlhttp://192.168.8.224:9200 #控制台会打印 { "name":"L_dA6oi", "cluster_name":"elasticsearch", "cluster_uuid":"eS7yP6fVTvC8KMhLutOz6w", "version":{ "number":"6.5.4", "build_flavor":"default", "build_type":"tar", "build_hash":"d2ef93d", "build_date":"2018-12-17T21:17:40.758843Z", "build_snapshot":false, "lucene_version":"7.5.0", "minimum_wire_compatibility_version":"5.6.0", "minimum_index_compatibility_version":"5.0.0" }, "tagline":"YouKnow,forSearch" }
2.2把elasticsearch作为服务进行管理
#切换root用户 suroot #编写服务配置文件 vi/usr/lib/systemd/system/elasticsearch.service [unit] Description=Elasticsearch Documentation=http://www.elastic.co Wants=network-online.target After=network-online.target [Service] Environment=ES_HOME=/opt/elasticsearch Environment=ES_PATH_CONF=/opt/elasticsearch/config Environment=PID_DIR=/opt/elasticsearch/config EnvironmentFile=/etc/sysconfig/elasticsearch WorkingDirectory=/opt/elasticsearch User=queylog Group=queylog ExecStart=/opt/elasticsearch/bin/elasticsearch-p${PID_DIR}/elasticsearch.pid #StandardOutputisconfiguredtoredirecttojournalctlsince #someerrormessagesmaybeloggedinstandardoutputbefore #elasticsearchloggingsystemisinitialized.Elasticsearch #storesitslogsin/var/log/elasticsearchanddoesnotuse #journalctlbydefault.Ifyoualsowanttoenablejournalctl #logging,youcansimplyremovethe"quiet"optionfromExecStart. StandardOutput=journal StandardError=inherit #Specifiesthemaximumfiledescriptornumberthatcanbeopenedbythisprocess LimitNOFILE=65536 #Specifiesthemaximumnumberofprocess LimitNPROC=4096 #Specifiesthemaximumsizeofvirtualmemory LimitAS=infinity #Specifiesthemaximumfilesize LimitFSIZE=infinity #Disabletimeoutlogicandwaituntilprocessisstopped TimeoutStopSec=0 #SIGTERMsignalisusedtostoptheJavaprocess KillSignal=SIGTERM #SendthesignalonlytotheJVMratherthanitscontrolgroup KillMode=process #Javaprocessisneverkilled SendSIGKILL=no #WhenaJVMreceivesaSIGTERMsignalitexitswithcode143 SuccessExitStatus=143 [Install] WantedBy=multi-user.target vi/etc/sysconfig/elasticsearch elasticsearch# ####################### #Elasticsearchhomedirectory ES_HOME=/opt/elasticsearch #ElasticsearchJavapath JAVA_HOME=/home/liyijie/jdk1.8 CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JAVA_HOMR/jre/lib #Elasticsearchconfigurationdirectory ES_PATH_CONF=/opt/elasticsearch/config #ElasticsearchPIDdirectory PID_DIR=/opt/elasticsearch/config ############################# #ElasticsearchService# ############################# #SysVinit.d #Thenumberofsecondstowaitbeforecheckingifelasticsearchstartedsuccessfullyasadaemonprocess ES_STARTUP_SLEEP_TIME=5 ################################ #ElasticsearchProperties# ################################ #Specifiesthemaximumfiledescriptornumberthatcanbeopenedbythisprocess #WhenusingSystemd,thissettingisignoredandtheLimitNOFILEdefinedin #/usr/lib/systemd/system/elasticsearch.servicetakesprecedence #MAX_OPEN_FILES=65536 #ThemaximumnumberofbytesofmemorythatmaybelockedintoRAM #Setto"unlimited"ifyouusethe'bootstrap.memory_lock:true'option #inelasticsearch.yml. #WhenusingSystemd,LimitMEMLOCKmustbesetinaunitfilesuchas #/etc/systemd/system/elasticsearch.service.d/override.conf. #MAX_LOCKED_MEMORY=unlimited #MaximumnumberofVMA(VirtualMemoryAreas)aprocesscanown #WhenusingSystemd,thissettingisignoredandthe'vm.max_map_count' #propertyissetatboottimein/usr/lib/sysctl.d/elasticsearch.conf #MAX_MAP_COUNT=262144 #重新加载服务 systemctldaemon-reload #切换普通用户 suqueylog #启动elasticsearch sudosystemctlstartelasticsearch #设置开机自启动 sudosystemctlenableelasticsearch
3、安装logstash
3.1、logstash配置
suqueylog cd/home/queylog #解压logstash-6.5.4.tar.gz tar-zxvflogstash-6.5.4.tar.gz sudomvlogstash-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 chownqueylog:queylog/opt/logstash #启动logstash ./opt/logstash/bin/logstash-flogstash.conf #安装并配置启动logstash后查看es索引是否创建完成 curlhttp://192.168.8.224:9200/_cat/indices
4、java代码部分
之前在SpringBoot整合ElasticSearch与Redis的异常解决
查阅资料,这个归纳的原因比较合理。
原因分析:程序的其他地方使用了Netty,这里指redis。这影响在实例化传输客户端之前初始化处理器的数量。实例化传输客户端时,我们尝试初始化处理器的数量。由于在其他地方使用Netty,因此已经初始化并且Netty会对此进行防范,因此首次实例化会因看到的非法状态异常而失败。
解决方案
在SpringBoot启动类中加入:
System.setProperty("es.set.netty.runtime.available.processors","false");
4.1、引入pom依赖
org.springframework.boot spring-boot-starter-data-elasticsearch
4.2、修改配置文件
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
4.3、对应的接口以及实现类
importorg.springframework.data.elasticsearch.annotations.Document; importorg.springframework.data.elasticsearch.annotations.Field; @Document(indexName="ind",type="isp") publicclassBean{ @Field privateStringmessage; publicStringgetMessage(){ returnmessage; } publicvoidsetMessage(Stringmessage){ this.message=message; } @Override publicStringtoString(){ return"Tomcat{"+ ",message='"+message+'\''+ '}'; } }
importjava.util.Map; publicinterfaceIElasticSearchService{ Mapsearch(Stringkeywords,IntegercurrentPage,IntegerpageSize)throwsException; //特殊字符转义 defaultStringescape(Strings){ StringBuildersb=newStringBuilder(); for(inti=0;i importorg.elasticsearch.index.query.BoolQueryBuilder; importorg.elasticsearch.index.query.QueryBuilders; importorg.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder; importorg.slf4j.Logger; importorg.slf4j.LoggerFactory; importorg.springframework.beans.factory.annotation.Autowired; importorg.springframework.data.domain.PageRequest; importorg.springframework.data.elasticsearch.core.ElasticsearchTemplate; importorg.springframework.data.elasticsearch.core.aggregation.AggregatedPage; importorg.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder; importorg.springframework.stereotype.Service; importjavax.annotation.Resource; importjava.util.ArrayList; importjava.util.HashMap; importjava.util.List; importjava.util.Map; /** *ElasticSearch实现类 */ @Service publicclassElasticSearchServiceImplimplementsIElasticSearchService{ Loggerlog=LoggerFactory.getLogger(ElasticSearchServiceImpl.class); @Autowired ElasticsearchTemplateelasticsearchTemplate; @Resource HighlightResultHelperhighlightResultHelper; @Override publicMapsearch(Stringkeywords,IntegercurrentPage,IntegerpageSize){ keywords=escape(keywords); currentPage=Math.max(currentPage-1,0); List highlightFields=newArrayList<>(); //设置高亮把查询到的关键字进行高亮 HighlightBuilder.Fieldmessage=newHighlightBuilder.Field("message").fragmentOffset(80000).numOfFragments(0).requireFieldMatch(false).preTags(" ").postTags(""); highlightFields.add(message); HighlightBuilder.Field[]highlightFieldsAry=highlightFields.toArray(newHighlightBuilder .Field[highlightFields.size()]); //创建查询构造器 NativeSearchQueryBuilderqueryBuilder=newNativeSearchQueryBuilder(); //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 BoolQueryBuilderboolQueryBuilder=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 result=elasticsearchTemplate.queryForPage(queryBuilder.build(),Bean .class,highlightResultHelper); //解析结果 longtotal=result.getTotalElements(); inttotalPage=result.getTotalPages(); List blogList=result.getContent(); Map map=newHashMap<>(); map.put("total",total); map.put("totalPage",totalPage); map.put("pageSize",pageSize); map.put("currentPage",currentPage+1); map.put("blogList",blogList); returnmap; } importcom.alibaba.fastjson.JSONObject; importorg.apache.commons.beanutils.PropertyUtils; importorg.elasticsearch.action.search.SearchResponse; importorg.elasticsearch.common.text.Text; importorg.elasticsearch.search.SearchHit; importorg.elasticsearch.search.fetch.subphase.highlight.HighlightField; importorg.slf4j.Logger; importorg.slf4j.LoggerFactory; importorg.springframework.data.domain.Pageable; importorg.springframework.data.elasticsearch.core.SearchResultMapper; importorg.springframework.data.elasticsearch.core.aggregation.AggregatedPage; importorg.springframework.data.elasticsearch.core.aggregation.impl.AggregatedPageImpl; importorg.springframework.stereotype.Component; importorg.springframework.util.StringUtils; importjava.lang.reflect.InvocationTargetException; importjava.util.ArrayList; importjava.util.List; /** *ElasticSearch高亮配置 */ @Component publicclassHighlightResultHelperimplementsSearchResultMapper{ Loggerlog=LoggerFactory.getLogger(HighlightResultHelper.class); @Override publicAggregatedPage mapResults(SearchResponseresponse,Class clazz,Pageablepageable){ List results=newArrayList<>(); for(SearchHithit:response.getHits()){ if(hit!=null){ Tresult=null; if(StringUtils.hasText(hit.getSourceAsString())){ result=JSONObject.parseObject(hit.getSourceAsString(),clazz); } //高亮查询 for(HighlightFieldfield:hit.getHighlightFields().values()){ try{ PropertyUtils.setProperty(result,field.getName(),concat(field.fragments())); }catch(IllegalAccessException|InvocationTargetException|NoSuchMethodExceptione){ log.error("设置高亮字段异常:{}",e.getMessage(),e); } } results.add(result); } } returnnewAggregatedPageImpl (results,pageable,response.getHits().getTotalHits(),response .getAggregations(),response.getScrollId()); } public TmapSearchHit(SearchHitsearchHit,Class clazz){ List results=newArrayList<>(); for(HighlightFieldfield:searchHit.getHighlightFields().values()){ Tresult=null; if(StringUtils.hasText(searchHit.getSourceAsString())){ result=JSONObject.parseObject(searchHit.getSourceAsString(),clazz); } try{ PropertyUtils.setProperty(result,field.getName(),concat(field.fragments())); }catch(IllegalAccessException|InvocationTargetException|NoSuchMethodExceptione){ log.error("设置高亮字段异常:{}",e.getMessage(),e); } results.add(result); } returnnull; } privateStringconcat(Text[]texts){ StringBuffersb=newStringBuffer(); for(Texttext:texts){ sb.append(text.toString()); } returnsb.toString(); } } importorg.junit.Test; importorg.junit.runner.RunWith; importorg.slf4j.Logger; importorg.slf4j.LoggerFactory; importorg.springframework.beans.factory.annotation.Autowired; importorg.springframework.boot.test.context.SpringBootTest; importorg.springframework.test.context.junit4.SpringRunner; @RunWith(SpringRunner.class) @SpringBootTest(classes=CbeiIspApplication.class) publicclassElasticSearchServiceTest{w privatestaticLoggerlogger=LoggerFactory.getLogger(EncodePhoneAndCardTest.class); @Autowired privateIElasticSearchServiceelasticSearchService; @Test publicResponseVOgetLog(){ try{ Mapsearch=elasticSearchService.search("Exception",1,10); logger.info(JSON.toJSONString(search)); }catch(Exceptione){ e.printStackTrace(); } } 例如:以上就是今天要讲的内容,本文仅仅简单介绍了elasticsearch跟logstash的使用,文章若有不当之处,欢迎评论指出~
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