网站网页的书签怎么做,手机网站设计建设,建设项目环境影响登记表网站,做微信网站公司名称研究背景
1、之所以选用kafka是因为量起来的话单台logstash的抗压能力比较差
2、为了解决整个链路查询的问题#xff0c;多个Feign传层的话#xff0c;可以按照一个ID进行穿层#xff0c;所以采用logback的MDC进行对唯一标识存储并且在Feign的调用链放在Header里#xff…研究背景
1、之所以选用kafka是因为量起来的话单台logstash的抗压能力比较差
2、为了解决整个链路查询的问题多个Feign传层的话可以按照一个ID进行穿层所以采用logback的MDC进行对唯一标识存储并且在Feign的调用链放在Header里这里命名为TID
下载地址
ZKKafka
https://mirrors.bfsu.edu.cn/apache/kafka/2.7.0/kafka_2.13-2.7.0.tgz
https://mirrors.bfsu.edu.cn/apache/zookeeper/zookeeper-3.7.0/apache-zookeeper-3.7.0-bin.tar.gz
ELK
https://artifacts.elastic.co/downloads/kibana/kibana-7.12.0-windows-x86_64.zip
https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.12.0-windows-x86_64.zip
https://artifacts.elastic.co/downloads/logstash/logstash-7.12.0-windows-x86_64.zip 在拦截器里增加相对应的拦截代码
Component
Slf4j
public class ContextInterceptor implements HandlerInterceptor {RequestContext context RequestContext.getCurrentContext();context.reset();log.debug(traceId: MDC.get(traceId));String requestId MDC.get(traceId);requestId StringUtils.isEmpty(requestId) ? request.getHeader(RequestContext.REQUEST_ID) : requestId;requestId StringUtils.isEmpty(requestId) ? request.getParameter(RequestContext.REQUEST_ID) : requestId;requestId StringUtils.isEmpty(requestId) ? UUIDUtil.uuid() : requestId;MDC.put(TID, requestId);}
配置日志配置文件logback-spring.xml
?xml version1.0 encodingUTF-8?
configuration!-- springProfile用于指定当前激活的环境如果spring.profile.active的值是哪个就会激活对应节点下的配置 --springProfile namelocal!-- configuration to be enabled when the staging profile is active --springProperty scopecontext namemodule sourcespring.application.namedefaultValueundefinded/!-- 该节点会读取Environment中配置的值在这里我们读取application.yml中的值 --springProperty scopecontext namebootstrapServers sourcespring.kafka.bootstrap-serversdefaultValue127.0.0.1:9092/appender nameSTDOUT classch.qos.logback.core.ConsoleAppender!-- encoders are assigned the typech.qos.logback.classic.encoder.PatternLayoutEncoder by default --encoderpattern%boldYellow(${module})|%d|%highlight(%-5level)|%X{TID}|%cyan(%logger{15}) - %msg %n/pattern/encoder/appender!-- kafka的appender配置 --appender namekafka classcom.github.danielwegener.logback.kafka.KafkaAppenderencoderpattern${module}|%d|%-5level|%X{TID}|%logger{15} - %msg/pattern/encodertopictest/topickeyingStrategy classcom.github.danielwegener.logback.kafka.keying.NoKeyKeyingStrategy/deliveryStrategy classcom.github.danielwegener.logback.kafka.delivery.AsynchronousDeliveryStrategy/!-- Optional parameter to use a fixed partition --!-- partition0/partition --!-- Optional parameter to include log timestamps into the kafka message --!-- appendTimestamptrue/appendTimestamp --!-- each producerConfig translates to regular kafka-client config (format: keyvalue) --!-- producer configs are documented here: https://kafka.apache.org/documentation.html#newproducerconfigs --!-- bootstrap.servers is the only mandatory producerConfig --producerConfigbootstrap.servers${bootstrapServers}/producerConfig!-- 如果kafka不可用则输出到控制台 --appender-ref refSTDOUT//appender!-- 指定项目中的logger --!--logger nameorg.springframework.test levelINFO appender-ref refkafka //logger--logger namecom.springcloudsite levelINFO appender-ref refkafka //loggerroot levelinfoappender-ref refSTDOUT //root/springProfile
/configuration
正则配置说明 pattern为正则表达 %boldYellow(${module}) 黄色的模块名称 %d 日期时间 %highlight(%-5level)高亮的日志级别如info error trace登 %X{TID} : traceID 追踪使用的ID %cyan(%logger{15}) :简写类名路径 %msg %n :具体日志信息
打印出来的效果如下 配置zkkafka
1. 安装JDK
1.1 安装文件http://www.oracle.com/technetwork/java/javase/downloads/index.html 下载JDK 1.2 安装完成后需要添加以下的环境变量右键点击“我的电脑” - 高级系统设置 - 环境变量
JAVA_HOME: C:\Program Files\Java\jdk1.8.0_171 (jdk的安装路径)
Path: 在现有的值后面添加; %JAVA_HOME%\bin
1.3 打开cmd运行 java -version 查看当前系统Java的版本 2. 安装ZOOKEEPER
Kafka的运行依赖于Zookeeper所以在运行Kafka之前我们需要安装并运行Zookeeper
2.1 下载安装文件 http://zookeeper.apache.org/releases.html
2.2 解压文件
2.3 打开zookeeper-3.4.13\conf把zoo_sample.cfg重命名成zoo.cfg
2.4 从文本编辑器里打开zoo.cfg
2.5 把dataDir的值改成“./zookeeper-3.4.13/data”
2.6 添加如下系统变量
ZOOKEEPER_HOME: C:\Users\localadmin\CODE\zookeeper-3.4.13 (zookeeper目录)Path: 在现有的值后面添加 ;%ZOOKEEPER_HOME%\bin;
2.7 运行Zookeeper: 打开cmd然后执行 zkserver cmd 窗口不要关闭
3. 安装并运行KAFKA
3.1 下载安装文件 http://kafka.apache.org/downloads.html
3.2 解压文件
3.3 打开kafka_2.11-2.0.0\config
3.4 从文本编辑器里打开 server.properties
3.5 把 log.dirs的值改成 “./logs”
3.6 打开cmd
3.7 进入kafka文件目录: cd C:\Users\localadmin\CODE\kafka_2.11-2.0.0(kafka目录)
3.8 输入并执行: .\bin\windows\kafka-server-start.bat .\config\server.properties cmd 窗口不要关闭
4. 创建TOPICS
4.1 打开cmd 并进入cd C:\Users\localadmin\CODE\kafka_2.11-2.0.0\bin\windows
4.2 创建一个topic kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test 5. 打开一个PRODUCER
cd C:\Users\localadmin\CODE\kafka_2.11-2.0.0\bin\windows
kafka-console-producer.bat --broker-list localhost:9092 --topic test
6. 打开一个CONSUMER:
cd C:\Users\localadmin\CODE\kafka_2.11-2.0.0\bin\windows
kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic test --from-beginning
7. 测试: 配置ELK
kibana.yml
# Kibana is served by a back end server. This setting specifies the port to use.
server.port: 5601# Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values.
# The default is localhost, which usually means remote machines will not be able to connect.
# To allow connections from remote users, set this parameter to a non-loopback address.
server.host: localhost# Enables you to specify a path to mount Kibana at if you are running behind a proxy.
# Use the server.rewriteBasePath setting to tell Kibana if it should remove the basePath
# from requests it receives, and to prevent a deprecation warning at startup.
# This setting cannot end in a slash.
#server.basePath: # Specifies whether Kibana should rewrite requests that are prefixed with
# server.basePath or require that they are rewritten by your reverse proxy.
# This setting was effectively always false before Kibana 6.3 and will
# default to true starting in Kibana 7.0.
#server.rewriteBasePath: false# Specifies the public URL at which Kibana is available for end users. If
# server.basePath is configured this URL should end with the same basePath.
#server.publicBaseUrl: # The maximum payload size in bytes for incoming server requests.
#server.maxPayloadBytes: 1048576# The Kibana servers name. This is used for display purposes.
#server.name: your-hostname# The URLs of the Elasticsearch instances to use for all your queries.
elasticsearch.hosts: [http://localhost:9200]# Kibana uses an index in Elasticsearch to store saved searches, visualizations and
# dashboards. Kibana creates a new index if the index doesnt already exist.
#kibana.index: .kibana# The default application to load.
#kibana.defaultAppId: home# If your Elasticsearch is protected with basic authentication, these settings provide
# the username and password that the Kibana server uses to perform maintenance on the Kibana
# index at startup. Your Kibana users still need to authenticate with Elasticsearch, which
# is proxied through the Kibana server.
#elasticsearch.username: kibana_system
#elasticsearch.password: pass# Enables SSL and paths to the PEM-format SSL certificate and SSL key files, respectively.
# These settings enable SSL for outgoing requests from the Kibana server to the browser.
#server.ssl.enabled: false
#server.ssl.certificate: /path/to/your/server.crt
#server.ssl.key: /path/to/your/server.key# Optional settings that provide the paths to the PEM-format SSL certificate and key files.
# These files are used to verify the identity of Kibana to Elasticsearch and are required when
# xpack.security.http.ssl.client_authentication in Elasticsearch is set to required.
#elasticsearch.ssl.certificate: /path/to/your/client.crt
#elasticsearch.ssl.key: /path/to/your/client.key# Optional setting that enables you to specify a path to the PEM file for the certificate
# authority for your Elasticsearch instance.
#elasticsearch.ssl.certificateAuthorities: [ /path/to/your/CA.pem ]# To disregard the validity of SSL certificates, change this settings value to none.
#elasticsearch.ssl.verificationMode: full# Time in milliseconds to wait for Elasticsearch to respond to pings. Defaults to the value of
# the elasticsearch.requestTimeout setting.
#elasticsearch.pingTimeout: 1500# Time in milliseconds to wait for responses from the back end or Elasticsearch. This value
# must be a positive integer.
elasticsearch.requestTimeout: 30000# List of Kibana client-side headers to send to Elasticsearch. To send *no* client-side
# headers, set this value to [] (an empty list).
#elasticsearch.requestHeadersWhitelist: [ authorization ]# Header names and values that are sent to Elasticsearch. Any custom headers cannot be overwritten
# by client-side headers, regardless of the elasticsearch.requestHeadersWhitelist configuration.
#elasticsearch.customHeaders: {}# Time in milliseconds for Elasticsearch to wait for responses from shards. Set to 0 to disable.
#elasticsearch.shardTimeout: 30000# Logs queries sent to Elasticsearch. Requires logging.verbose set to true.
#elasticsearch.logQueries: false# Specifies the path where Kibana creates the process ID file.
#pid.file: /run/kibana/kibana.pid# Enables you to specify a file where Kibana stores log output.
#logging.dest: stdout# Set the value of this setting to true to suppress all logging output.
#logging.silent: false# Set the value of this setting to true to suppress all logging output other than error messages.
#logging.quiet: false# Set the value of this setting to true to log all events, including system usage information
# and all requests.
#logging.verbose: false# Set the interval in milliseconds to sample system and process performance
# metrics. Minimum is 100ms. Defaults to 5000.
#ops.interval: 5000# Specifies locale to be used for all localizable strings, dates and number formats.
# Supported languages are the following: English - en , by default , Chinese - zh-CN .
#i18n.locale: en然后到对应bin目录下启动直接点击 kibana.bat启动即可或者在CMD命令启动 之后是启动效果 配置elasticsearch.yml
# 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 information 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 -----------------------------------
#
# By default Elasticsearch is only accessible on localhost. Set a different
# address here to expose this node on the network:
#
cluster.name: docker-cluster
node.name: node-1
node.master: true
network.host: 0.0.0.0#xpack.license.self_generated.type: trial
#xpack.security.enabled: true
#xpack.monitoring.collection.enabled: true #
# By default Elasticsearch listens for HTTP traffic on the first free port it
# finds starting at 9200. Set a specific HTTP port here:
#
http.port: 9200
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when this node is started:
# The default list of hosts is [127.0.0.1, [::1]]
#
#discovery.seed_hosts: [host1, host2]
#
# Bootstrap the cluster using an initial set of master-eligible nodes:
#
cluster.initial_master_nodes: [node-1]
#
# For more information, consult the discovery and cluster formation module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true启动bin目录下的elasticsearch.bat 以下是启动效果 配置logstash.conf
# Sample Logstash configuration for creating a simple
# Beats - Logstash - Elasticsearch pipeline.input {kafka {bootstrap_servers localhost:9092topics [test]group_id test}
}filter { mutate {split { message | }}if [message][0] {mutate { add_field {apiname %{[message][0]}}}}if [message][1] {mutate { add_field {current_time %{[message][1]}}}} if [message][2] {mutate { add_field {current_level %{[message][2]}}}} if [message][3] {mutate { add_field {traceid %{[message][3]}}}}}output {elasticsearch {hosts [http://localhost:9200]#index local-purchase-order | %{YYYY-MM-dd}index logstash-%{YYYY-MM-dd}#template_name logstash#template_overwrite true#index %{[metadata][beat]}-%{[metadata][version]}-%{YYYY.MM.dd}#user elastic#password changeme}stdout{codec rubydebug}
}
配置logstash.yml
#/usr/share/logstash/config/logstash.yml
#jvm.options log4j2.properties logstash-sample.conf logstash.yml pipelines.yml startup.options
http.host: 0.0.0.0
# [ http://elasticsearch:9200 ]
xpack.monitoring.elasticsearch.hosts: ${ELASTICSEARCH_URL}
启动使用命令 可以进到bin下
D:\app\elk\logstash\bin 输入命令logstash -f D:\app\elk\logstash\config\logstash.conf 最后打开地址
http://localhost:9600/
http://localhost:9200/
http://localhost:5601/
分别验证结果
