# Logstash的安装教程和使用方法 ## 一、Logstash简介 Logstash是Elastic Stack(原ELK Stack)的核心组件之一,由Elastic公司开发的开源数据处理管道工具。它能够动态地从多种数据源采集数据,对数据进行过滤、解析和转换,最后将标准化后的数据输出到目标存储(如Elasticsearch、Kafka等)。 ### 核心功能 - **数据采集**:支持文件、数据库、消息队列等50+种输入源 - **数据处理**:丰富的过滤器插件(Grok、Date、Mutate等) - **数据输出**:可输出到Elasticsearch、文件系统、邮件等 - **可扩展性**:支持自定义插件开发 ## 二、安装准备 ### 系统要求 - **操作系统**:Linux/Windows/macOS(推荐Linux生产环境) - **Java环境**:JDK 8或11(建议OpenJDK) - **硬件配置**: - 最小2GB内存(生产环境建议4GB+) - 2CPU核心以上 ### 环境检查 ```bash # 检查Java版本 java -version # 输出示例 openjdk version "11.0.12" 2021-07-20 OpenJDK Runtime Environment (build 11.0.12+7-post-Debian-2) OpenJDK 64-Bit Server VM (build 11.0.12+7-post-Debian-2, mixed mode)
# 导入Elastic GPG密钥 wget -qO - https://artifacts.elastic.co/GPG-KEY-elasticsearch | sudo apt-key add - # 添加APT仓库 sudo apt-get install apt-transport-https echo "deb https://artifacts.elastic.co/packages/7.x/apt stable main" | sudo tee -a /etc/apt/sources.list.d/elastic-7.x.list # 安装Logstash sudo apt-get update && sudo apt-get install logstash
wget https://artifacts.elastic.co/downloads/logstash/logstash-7.15.2-linux-x86_64.tar.gz tar -xzf logstash-7.15.2-linux-x86_64.tar.gz cd logstash-7.15.2
C:\Program Files\Logstash
LOGSTASH_HOME=C:\Program Files\Logstash
%LOGSTASH_HOME%\bin
docker pull docker.elastic.co/logstash/logstash:7.15.2 docker run -it --rm -p 5044:5044 docker.elastic.co/logstash/logstash:7.15.2
/usr/share/logstash/ ├── bin/ # 可执行文件 ├── config/ # 配置文件 │ ├── logstash.yml # 主配置文件 │ └── pipelines.yml # 管道定义文件 ├── data/ # 数据存储 ├── logs/ # 日志文件 └── plugins/ # 插件目录
创建测试配置文件test.conf
:
input { stdin { } } output { stdout { codec => rubydebug } }
启动测试:
bin/logstash -f test.conf
input { file { path => "/var/log/nginx/access.log" start_position => "beginning" sincedb_path => "/dev/null" } }
input { kafka { bootstrap_servers => "kafka1:9092,kafka2:9092" topics => ["web_logs"] codec => "json" } }
filter { grok { match => { "message" => "%{COMBINEDAPACHELOG}" } } date { match => [ "timestamp", "dd/MMM/yyyy:HH:mm:ss Z" ] } geoip { source => "clientip" } }
filter { mutate { rename => { "user" => "username" } convert => { "bytes" => "integer" } remove_field => ["temp_field"] } }
output { elasticsearch { hosts => ["http://localhost:9200"] index => "logs-%{+YYYY.MM.dd}" } }
output { if [type] == "nginx" { elasticsearch { ... } } else { file { path => "/var/log/logstash/other.log" } } }
# config/pipelines.yml - pipeline.id: main pipeline.workers: 4 pipeline.batch.size: 125 queue.type: persisted queue.max_bytes: 1gb
修改config/jvm.options
:
-Xms2g -Xmx2g -XX:+UseConcMarkSweepGC
启用监控API:
curl -X GET "localhost:9600/_node/stats/pipelines?pretty"
# 查看详细错误日志 tail -n 100 /var/log/logstash/logstash-plain.log # 测试配置文件语法 bin/logstash --config.test_and_exit -f your_config.conf
input
插件是否支持多线程bin/logstash --profile
生成性能报告pipeline.workers
数量# 离线安装插件 bin/logstash-plugin install --local /path/to/plugin.gem # 更新所有插件 bin/logstash-plugin update
# config/pipelines.yml - pipeline.id: nginx path.config: "/etc/logstash/conf.d/nginx.conf" - pipeline.id: mysql path.config: "/etc/logstash/conf.d/mysql.conf"
bin/logstash-plugin generate --type filter --name myfilter --path ~/logstash_plugins
gem build logstash-filter-myfilter.gemspec
input { beats { port => 5044 ssl => true ssl_certificate => "/path/to/cert.pem" ssl_key => "/path/to/key.pkcs8" } }
”`
这篇教程包含了从安装到进阶使用的完整内容,您可以根据实际需求调整配置示例。建议在生产环境中使用前进行充分测试,特别是性能相关参数需要根据硬件配置调整。
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