Logstash学习11_Logstash处理时区、类型转换、删除字段的案例配置

#输入
input {
file {
path => ["文件路径"]
#自定义类型
type => "自定义"
start_position => "beginning"
}
}

#过滤器
filter{
#去除换行符
mutate{
gsub => [ "message", "\r", "" ]
}

#逗号分割
mutate {
split => ["message",","]
}

#分割后，字段命名与赋值
mutate{
add_field => {
"id" => "%{[message][0]}"
"mydate" => "%{[message][1]}"
"user" => "%{[message][2]}"
"pc" => "%{[message][3]}"
"to_user" => "%{[message][4]}"
"cc" => "%{[message][5]}"
"bcc" => "%{[message][6]}"
"from_user" => "%{[message][7]}"
"size" => "%{[message][8]}"
"attachments" => "%{[message][9]}"
"content" => "%{[message][10]}"
}
}

#字段里的日期识别，以及时区转换，生成date
date {
match => [ "mydate", "MM/dd/yyyy HH:mm:ss" ]
target => "date"
locale => "en"
timezone => "+00:00"
}

#删除无用字段
mutate {
remove_field => "message"
remove_field => "mydate"
remove_field => "@version"
remove_field => "host"
remove_field => "path"
}
#将两个字段转换为整型
mutate{
convert => { "size" => "integer" }
convert => { "attachments" => "integer" }
}
}

#输出，输出目标为es
output {
#stdout { codec => rubydebug }
elasticsearch {
#目标主机
host => ["目标主机1","目标主机2"]
#协议类型
protocol => "http"
#索引名
index =>"自定义"
}
}