Kibana+Logstash+Elasticsearch 日志查询系统，kibanalogstash_PHP教程
- WBOY원래의
- 2016-07-12 08:50:052249검색
Kibana+Logstash+Elasticsearch 日志查询系统，kibanalogstash
搭建该平台的目的就是为了运维、研发很方便的进行日志的查询。Kibana一个免费的web壳；Logstash集成各种收集日志插件，还是一个比较优秀的正则切割日志工具；Elasticsearch一个开源的搜索引擎框架（支持群集架构方式）。
1 安装需求
1.1 理论拓扑
1.2 安装环境
1.2.1 硬件环境
192.168.50.62（HP DL 385 G7 、RAM：12G、CPU：AMD 6128、DISK：SAS 146*4）
192.168.50.98（HP DL 385 G7 、RAM：12G、CPU：AMD 6128、DISK：SAS 146*6）
192.168.10.42 (Xen虚拟机、RAM：8G、CPU：×4、DISK：100G)
1.2.2 操作系统
CentOS 5.6 X64
1.2.3 Web-server基础环境
Nginx+php（安装过程略过）
1.2.4 软件列表
JDK 1.6.0_25
logstash-1.1.0-monolithic.jar
elasticsearch-0.18.7.zip
redis-2.4.12.tar.gz
kibana
1.3 获取方法
1.3.1 Jdk获取路径
http://www.oracle.com/technetwork/java/javase/downloads/jdk-6u25-download-346242.html
1.3.2 Logstash获取路径
http://semicomplete.com/files/logstash/logstash-1.1.0-monolithic.jar
1.3.3 Elasticsearch获取路径
https://github.com/downloads/elasticsearch/elasticsearch/ elasticsearch-0.18.7.zip
1.3.4 Kibana获取路径
http://github.com/rashidkpc/Kibana/tarball/master
2 安装步骤
2.1 JDK的下载及安装
基础安装
wget http://download.oracle.com/otn-pub/java/jdk/6u25-b06/jdk-6u25-linux-x64.bin
sh jdk-6u25-linux-x64.bin
mkdir -p /usr/java
mv ./jdk1.6.0_25 /usr/java
ln –s /usr/java/jdk1.6.0_25 /usr/java/default
编辑 /etc/profile文件，加入以下行内容
export JAVA_HOME=/usr/java/default
export PATH=$JAVA_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/tools.jar:$JAVA_HOME/lib/dt.jar:$CLASSPATH
刷新环境变量
source /etc/profile
2.2 Redis下载及安装
wget http://redis.googlecode.com/files/redis-2.4.14.tar.gz
make –j24
make install
mkdir -p /data/redis
cd /data/redis/
mkdir {db,log,etc}
2.3 Elasticsearch下载及安装
cd /data/
mkdir –p elasticsearch && cd elasticsearch
wget --no-check-certificate https://github.com/downloads/elasticsearch/elasticsearch/ elasticsearch-0.18.7.zip
unzip elasticsearch-0.18.7.zip
2.4 Logstash下载及安装
mkdir –p /data/logstash/ && cd /data/logstash
wget http://semicomplete.com/files/logstash/logstash-1.1.0-monolithic.jar
2.5 Kibana下载及安装
wget http://github.com/rashidkpc/Kibana/tarball/master --no-check-certificate
tar zxvf master
3 相关配置及启动
3.1 Redis配置及启动
3.1.1 配置文件
vim /data/redis/etc/redis.conf
#----------------------------------------------------
#this is the config file for redis
pidfile /var/run/redis.pid
port 6379
timeout 0
loglevel verbose
logfile /data/redis/log/redis.log
databases 16
save 900 1
save 300 10
save 60 10000
rdbcompression yes
dbfilename dump.rdb
dir /data/redis/db/
slave-serve-stale-data yes
appendonly no
appendfsync everysec
no-appendfsync-on-rewrite no
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
slowlog-log-slower-than 10000
slowlog-max-len 128
vm-enabled no
vm-swap-file /tmp/redis.swap
vm-max-memory 0
vm-page-size 32
vm-pages 134217728
vm-max-threads 4
hash-max-zipmap-entries 512
hash-max-zipmap-value 64
list-max-ziplist-entries 512
list-max-ziplist-value 64
set-max-intset-entries 512
zset-max-ziplist-entries 128
zset-max-ziplist-value 64
activerehashing yes
3.1.2 Redis启动
[logstash@Logstash_2 redis]# redis-server /data/redis/etc/redis.conf &
3.2 Elasticsearch 配置及启动
3.2.1 Elasticsearch启动
[logstash@Logstash_2 redis]# /data/elasticsearch/elasticsearch-0.18.7/bin/elasticsearch –p ../esearch.pid &
3.2.2 Elasticsearch 群集配置
curl 127.0.0.1:9200/_cluster/nodes/192.168.50.62
3.3 Logstash配置及启动
3.3.1 Logstash配置文件
input {
redis {
host => "192.168.50.98"
data_type =>"list"
key => "logstash:redis"
type => "redis-input"
}
}
filter {
grok {
type => "linux-syslog"
pattern => "%{SYSLOGLINE}"
}
grok {
type => "nginx-access"
pattern => "%{NGINXACCESSLOG}"
}
}
output {
elasticsearch {
host =>"192.168.50.62"
}
}
3.3.2 Logstash启动为Index
java -jar logstash.jar agent -f my.conf &
3.3.3 Logstash启动为agent
配置文件
input {
file{
type => "linux-syslog"
path => [ "/var/log/*.log", "/var/log/messages", "/var/log/syslog" ]
}
file {
type => "nginx-access"
path => "/usr/local/nginx/logs/access.log"
}
file {
type => "nginx-error"
path => "/usr/local/nginx/logs/error.log"
}
}
output {
redis {
host => "192.168.50.98"
data_type =>"list"
key => "logstash:redis"
}
}
Agent 启动
java -jar logstash-1.1.0-monolithic.jar agent -f shipper.conf &
3.3.4 kibana配置
首先在nginx添加站点配置
server {
listen 80;
server_name logstash.test.com;
index index.php;
root /usr/local/nginx/html;
#charset koi8-r;
#access_log logs/host.access.log main;
location ~ .*\.(php|php5)$
{
#fastcgi_pass unix:/tmp/php-cgi.sock;
fastcgi_pass 127.0.0.1:9000;
fastcgi_index index.php;
include fastcgi.conf;
}
}
4 性能调优
4.1 Elasticsearch调优
4.1.1 JVM调优
编辑Elasticsearch.in.sh文件
ES_CLASSPATH=$ES_CLASSPATH:$ES_HOME/lib/*:$ES_HOME/lib/sigar/*
if [ "x$ES_MIN_MEM" = "x" ]; then
ES_MIN_MEM=4g
fi
if [ "x$ES_MAX_MEM" = "x" ]; then
ES_MAX_MEM=4g
fi
4.1.2 Elasticsearch索引压缩
vim index_elastic.sh
#!/bin/bash
#comperssion the data for elasticsearch now
date=` date +%Y.%m.%d `
# compression the new index;
/usr/bin/curl -XPUT http://localhost:9200/logstash-$date/nginx-access/_mapping -d '{"nginx-access" : {"_source" : { "compress" : true }}}'
echo ""
/usr/bin/curl -XPUT http://localhost:9200/logstash-$date/nginx-error/_mapping -d '{"nginx-error" : {"_source" : { "compress" : true }}}'
echo ""
/usr/bin/curl -XPUT http://localhost:9200/logstash-$date/linux-syslog/_mapping -d '{"linux-syslog" : {"_source" : { "compress" : true }}}'
echo ""
保存该脚本并执行
sh index_elastic.sh
5 使用
5.1 Logstash查询页
使用火狐浏览器或者谷歌浏览器访问 http://logstash.test.com
