Ruby 日志存储过滤和解析输出
环境Ruby 日志存储过滤和解析输出,ruby,regex,
elasticsearch,logstash,deis,Ruby,Regex,
elasticsearch,Logstash,Deis,环境 Ubuntu 16.04 日志存储5.2.1 弹性搜索5.1 我已经将我们的Deis平台配置为将日志发送到我们的Logstack节点,不会出现任何问题。然而,我对Ruby还是新手,正则表达式不是我的强项 日志示例: 2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n 日志存储配置: input { tcp { port
- Ubuntu 16.04
- 日志存储5.2.1
- 弹性搜索5.1
2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n
日志存储配置:
input {
tcp {
port => 5000
type => syslog
codec => plain
}
udp {
port => 5000
type => syslog
codec => plain
}
}
filter {
json {
source => "syslog_message"
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n",
"type" => "json"
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"type" => "json"
"container" => "deis-logspout"
"severity level" => "Info"
"message" => "routing all to udp://x.x.x.x:xxxx\n"
2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n
input {
tcp {
port => 5000
type => deis
}
udp {
port => 5000
type => deis
}
}
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}(UTC|CST|EST|PST) %{URIHOST:container}\[%{NUMBER}\]: %{YEAR}/%{MONTHNUM}/%{MONTHDAY} %{TIME} %{GREEDYDATA:msg}" }
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
{
"container" => "deis-logspout",
"msg" => "routing all to udp://x.x.x.x:xxxx",
"@timestamp" => 2017-02-22T23:55:28.319Z,
"port" => 62886,
"@version" => "1",
"host" => "10.0.2.2",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx",
"timestamp" => "2017-02-15T14:55:24"
"type" => "deis"
}
弹性搜索输出:
input {
tcp {
port => 5000
type => syslog
codec => plain
}
udp {
port => 5000
type => syslog
codec => plain
}
}
filter {
json {
source => "syslog_message"
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n",
"type" => "json"
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"type" => "json"
"container" => "deis-logspout"
"severity level" => "Info"
"message" => "routing all to udp://x.x.x.x:xxxx\n"
2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n
input {
tcp {
port => 5000
type => deis
}
udp {
port => 5000
type => deis
}
}
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}(UTC|CST|EST|PST) %{URIHOST:container}\[%{NUMBER}\]: %{YEAR}/%{MONTHNUM}/%{MONTHDAY} %{TIME} %{GREEDYDATA:msg}" }
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
{
"container" => "deis-logspout",
"msg" => "routing all to udp://x.x.x.x:xxxx",
"@timestamp" => 2017-02-22T23:55:28.319Z,
"port" => 62886,
"@version" => "1",
"host" => "10.0.2.2",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx",
"timestamp" => "2017-02-15T14:55:24"
"type" => "deis"
}
期望的结果:
input {
tcp {
port => 5000
type => syslog
codec => plain
}
udp {
port => 5000
type => syslog
codec => plain
}
}
filter {
json {
source => "syslog_message"
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n",
"type" => "json"
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"type" => "json"
"container" => "deis-logspout"
"severity level" => "Info"
"message" => "routing all to udp://x.x.x.x:xxxx\n"
2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n
input {
tcp {
port => 5000
type => deis
}
udp {
port => 5000
type => deis
}
}
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}(UTC|CST|EST|PST) %{URIHOST:container}\[%{NUMBER}\]: %{YEAR}/%{MONTHNUM}/%{MONTHDAY} %{TIME} %{GREEDYDATA:msg}" }
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
{
"container" => "deis-logspout",
"msg" => "routing all to udp://x.x.x.x:xxxx",
"@timestamp" => 2017-02-22T23:55:28.319Z,
"port" => 62886,
"@version" => "1",
"host" => "10.0.2.2",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx",
"timestamp" => "2017-02-15T14:55:24"
"type" => "deis"
}
如何将信息从消息中提取到各个字段中?不幸的是,您对您尝试执行的操作的假设有点偏离,但我们可以解决这个问题 您为JSON创建了一个正则表达式,但没有解析JSON。您只是在解析一个Bastarized syslog(请参阅中的syslogStreamer)日志,但实际上它不是syslog格式(RFC 5424或3164)。Logstash随后提供JSON输出 让我们分解消息,它将成为您解析的源。关键是您必须前后解析消息 消息:
input {
tcp {
port => 5000
type => syslog
codec => plain
}
udp {
port => 5000
type => syslog
codec => plain
}
}
filter {
json {
source => "syslog_message"
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n",
"type" => "json"
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"type" => "json"
"container" => "deis-logspout"
"severity level" => "Info"
"message" => "routing all to udp://x.x.x.x:xxxx\n"
2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n
input {
tcp {
port => 5000
type => deis
}
udp {
port => 5000
type => deis
}
}
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}(UTC|CST|EST|PST) %{URIHOST:container}\[%{NUMBER}\]: %{YEAR}/%{MONTHNUM}/%{MONTHDAY} %{TIME} %{GREEDYDATA:msg}" }
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
{
"container" => "deis-logspout",
"msg" => "routing all to udp://x.x.x.x:xxxx",
"@timestamp" => 2017-02-22T23:55:28.319Z,
"port" => 62886,
"@version" => "1",
"host" => "10.0.2.2",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx",
"timestamp" => "2017-02-15T14:55:24"
"type" => "deis"
}
:时间戳是一种常见的grok模式。这主要遵循时间戳_ISO8601,但并不完全遵循2017-02-15T14:55:24UTC
:这将是您的日志源,您可以将其命名为容器。您可以使用grok模式URIHOSTdeis logspout[1]
:由于大多数日志的消息都包含在消息的末尾,因此您可以使用grok模式GREEDYDATA,它相当于正则表达式中的将全部路由到udp://x.x.x.x:xxxx\n
*
:另一个时间戳(为什么?)2017/02/15 14:55:24
%{URIHOST:container}
你会看到,我对grok过滤器进行了一些修改,以使格式化工作正常。即使您不打算捕获结果,也必须匹配文本的某些部分。如果无法更改时间戳的格式以匹配标准,请创建自定义模式
配置:
input {
tcp {
port => 5000
type => syslog
codec => plain
}
udp {
port => 5000
type => syslog
codec => plain
}
}
filter {
json {
source => "syslog_message"
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n",
"type" => "json"
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"type" => "json"
"container" => "deis-logspout"
"severity level" => "Info"
"message" => "routing all to udp://x.x.x.x:xxxx\n"
2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n
input {
tcp {
port => 5000
type => deis
}
udp {
port => 5000
type => deis
}
}
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}(UTC|CST|EST|PST) %{URIHOST:container}\[%{NUMBER}\]: %{YEAR}/%{MONTHNUM}/%{MONTHDAY} %{TIME} %{GREEDYDATA:msg}" }
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
{
"container" => "deis-logspout",
"msg" => "routing all to udp://x.x.x.x:xxxx",
"@timestamp" => 2017-02-22T23:55:28.319Z,
"port" => 62886,
"@version" => "1",
"host" => "10.0.2.2",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx",
"timestamp" => "2017-02-15T14:55:24"
"type" => "deis"
}
输出:
input {
tcp {
port => 5000
type => syslog
codec => plain
}
udp {
port => 5000
type => syslog
codec => plain
}
}
filter {
json {
source => "syslog_message"
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n",
"type" => "json"
"@timestamp" => 2017-02-15T14:55:24.408Z,
"@version" => "1",
"host" => "x.x.x.x",
"type" => "json"
"container" => "deis-logspout"
"severity level" => "Info"
"message" => "routing all to udp://x.x.x.x:xxxx\n"
2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx\n
input {
tcp {
port => 5000
type => deis
}
udp {
port => 5000
type => deis
}
}
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}(UTC|CST|EST|PST) %{URIHOST:container}\[%{NUMBER}\]: %{YEAR}/%{MONTHNUM}/%{MONTHDAY} %{TIME} %{GREEDYDATA:msg}" }
}
}
output {
elasticsearch { hosts => ["foo.somehost"] }
}
{
"container" => "deis-logspout",
"msg" => "routing all to udp://x.x.x.x:xxxx",
"@timestamp" => 2017-02-22T23:55:28.319Z,
"port" => 62886,
"@version" => "1",
"host" => "10.0.2.2",
"message" => "2017-02-15T14:55:24UTC deis-logspout[1]: 2017/02/15 14:55:24 routing all to udp://x.x.x.x:xxxx",
"timestamp" => "2017-02-15T14:55:24"
"type" => "deis"
}
您还可以对该项进行额外的修改,以删除@timestamp、@host等,因为默认情况下,它们是由Logstash提供的。另一个建议是使用将找到的任何时间戳转换为可用格式(更适合搜索)
根据日志格式,您可能需要稍微更改模式。我只举了一个例子。这还保留了原始的完整消息,因为在Logstash中执行的任何字段操作都是破坏性的(它们用同名字段覆盖值)
资源: