I'm using Logstash to forward error logs from app servers to ES. Everything is working fine except that log timestamp going as string to ES.
Here is my log format
[Date:2015-03-25 01:29:09,554] [ThreadId:4432] [HostName:AEPLWEB1] [Host:(null)] [ClientIP:(null)] [Browser:(null)] [UserAgent:(null)] [PhysicalPath:(null)] [Url:(null)] [QueryString:(null)] [Referrer:(null)] [Carwale.Notifications.ExceptionHandler] System.InvalidCastException: Unable to cast object of type 'Carwale.Entity.CMS.Articles.ArticleDetails' to type 'Carwale.Entity.CMS.Articles.ArticlePageDetails'. at Carwale.Cache.Core.MemcacheManager.GetFromCacheCore[T](String key, TimeSpan cacheDuration, Func`1 dbCallback, Boolean& isKeyFirstTimeCreated)
Filter configuration for logstash forwarder
filter {
multiline {
pattern => "^\[Date:%{TIMESTAMP_ISO8601}"
negate => true
what => "previous"
}
grok {
match => [ "message", "(?:Date:%{TIMESTAMP_ISO8601:log_timestamp})\] \[(?:ThreadId:%{NUMBER:ThreadId})\] \[(?:HostName:%{WORD:HostName})\] \[(?:Host:\(%{WORD:Host})\)\] \[(?:ClientIP:\(%{WORD:ClientIP})\)\] \[(?:Browser:\(%{WORD:Browser})\)\] \[(?:UserAgent:\(%{WORD:UserAgent})\)\] \[(?:PhysicalPath:\(%{WORD:PhysicalPath})\)\] \[(?:Url:\(%{WORD:Url})\)\] \[(?:QueryString:\(%{WORD:QueryString})\)\] \[(?:Referrer:\(%{WORD:Referrer})\)\] \[%{DATA:Logger}\] %{GREEDYDATA:err_message}" ]
}
date {
match => [ "log_timestamp", "MMM dd YYY HH:mm:ss","MMM d YYY HH:mm:ss", "ISO8601" ]
target => "log_timestamp"
}
mutate {
convert => ["ThreadId", "integer"]
}
}
How I can make it date in ES? Please help. Thanks in advance.
I had the similar issue. Now fixed it with the below workaround.
grok {
match => {
"message" => "%{YEAR:year}-%{MONTHNUM:month}-%{MONTHDAY:day}[T ]%{HOUR:hour}:%{MINUTE:minute}:%{SECOND:second}"
}
}
grok{
match => {
"second" => "(?<asecond>(^[^,]*))" }
}
mutate {
add_field => {
"timestamp" => "%{year}-%{month}-%{day} %{hour}:%{minute}:%{asecond}"
}
}
date{ match => [ "timestamp", "yyyy-MM-dd HH:mm:ss" ] timezone=> "UTC" target => "log_timestamp" }
Thanks,
Related
I understand that Logstash is for aggregating and processing logs. I have NGIX logs and had Logstash config setup as:
filter {
grok {
match => [ "message" , "%{COMBINEDAPACHELOG}+%{GREEDYDATA:extra_fields}"]
overwrite => [ "message" ]
}
mutate {
convert => ["response", "integer"]
convert => ["bytes", "integer"]
convert => ["responsetime", "float"]
}
geoip {
source => "clientip"
target => "geoip"
add_tag => [ "nginx-geoip" ]
}
date {
match => [ "timestamp" , "dd/MMM/YYYY:HH:mm:ss Z" ]
remove_field => [ "timestamp" ]
}
useragent {
source => "agent"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "weblogs-%{+YYYY.MM}"
document_type => "nginx_logs"
}
stdout { codec => rubydebug }
}
This would parse the unstructured logs into a structured form of data, and store the data into monthly indexes.
What I discovered is that the majority of logs were contributed by robots/web-crawlers. In python I would filter them out by:
browser_names = browser_names[~browser_names.str.\
match('^[\w\W]*(google|bot|spider|crawl|headless)[\w\W]*$', na=False)]
However, I would like to filter them out with Logstash so I can save a lot of disk space in Elasticsearch server. Is there a way to do that? Thanks in advance!
Thanks LeBigCat for generously giving a hint. I solved this problem by adding the following under the filter:
if [browser_names] =~ /(?i)^[\w\W]*(google|bot|spider|crawl|headless)[\w\W]*$/ {
drop {}
}
the (?i) flag is for case insensitive matching.
In your filter you can ask for drop (https://www.elastic.co/guide/en/logstash/current/plugins-filters-drop.html). As you already got your pattern, should be pretty fast ;)
I am trying to figure out grok pattern for parsing multiple messages like exception trace & below is one such log
2017-03-30 14:57:41 [12345] [qtp1533780180-12] ERROR com.app.XYZ - Exception occurred while processing
java.lang.NullPointerException: null
at spark.webserver.MatcherFilter.doFilter(MatcherFilter.java:162)
at spark.webserver.JettyHandler.doHandle(JettyHandler.java:61)
at org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:189)
at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141)
at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:119)
at org.eclipse.jetty.server.Server.handle(Server.java:517)
at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:302)
at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:242)
at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:245)
at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:95)
at org.eclipse.jetty.io.SelectChannelEndPoint$2.run(SelectChannelEndPoint.java:75)
at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.produceAndRun(ExecuteProduceConsume.java:213)
at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:147)
at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:654)
at org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:572)
at java.lang.Thread.run(Thread.java:745)
Here is my logstash.conf
input {
file {
path => ["/debug.log"]
codec => multiline {
# Grok pattern names are valid! :)
pattern => "^%{TIMESTAMP_ISO8601} "
negate => true
what => previous
}
}
}
filter {
mutate {
gsub => ["message", "r", ""]
}
grok {
match => [ "message", "%{TIMESTAMP_ISO8601:timestamp} \[%{NOTSPACE:uid}\] \[%{NOTSPACE:thread}\] %{LOGLEVEL:loglevel} %{DATA:class}\-%{GREEDYDATA:message}" ]
overwrite => [ "message" ]
}
date {
match => [ "timestamp" , "yyyy-MM-dd HH:mm:ss" ]
}
}
output {
elasticsearch { hosts => localhost }
stdout { codec => rubydebug }
}
This works fine for single line logs parsing but fails in
0] "_grokparsefailure"
for multiline exception traces
Can someone please suggest me the correct filter pattern for parsing multiline logs ?
If you are working with Multiline logs then please use Multiline filter provided by logstash. You first need to distinguish the starting of a new record in multiline filter. From your logs I can see new record is starting with "TIMESTAMP", below is the example usage.
Example usage ::
filter {
multiline {
type => "/debug.log"
pattern => "^%{TIMESTAMP}"
what => "previous"
}
}
You can then use Gsub to replace "\n" and "\r" which will be added by multiline filter to your record. After that use Grok.
The above logstash config worked fine after removing
mutate {
gsub => ["message", "r", ""]
}
So the working logstash config for parsing single line & multi line inputs for the above log pattern
input {
file {
path => ["./debug.log"]
codec => multiline {
# Grok pattern names are valid! :)
pattern => "^%{TIMESTAMP_ISO8601} "
negate => true
what => previous
}
}
}
filter {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601:timestamp} \[%{NOTSPACE:uid}\] \[%{NOTSPACE:thread}\] %{LOGLEVEL:loglevel} %{DATA:class}\-%{GREEDYDATA:message}" ]
overwrite => [ "message" ]
}
date {
match => [ "timestamp" , "yyyy-MM-dd HH:mm:ss" ]
}
}
output {
elasticsearch { hosts => localhost }
stdout { codec => rubydebug }
}
I'm learning logstash and I'm using Kibana to see the logs. I would like to know if is there anyway to add fields using data from message property.
For example, the log is like this:
#timestamp:December 21st 2016, 21:39:12.444 port:47,144
appid:%{[path]} host:172.18.0.5 levell:level message:
{"#timestamp":"2016-12-22T00:39:12.438+00:00","#version":1,"message":"Hello","logger_name":"com.empresa.miAlquiler.controllers.UserController","thread_name":"http-nio-7777-exec-1","level":"INFO","level_value":20000,
"HOSTNAME":"6f92ae402cb4","X-Span-Export":"false","X-B3-SpanId":"8f548829e9d18a8a","X-B3-TraceId":"8f548829e9d18a8a"}
My logstash conf is like:
filter {
grok {
match => {
"message" =>
"^%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:level}\s+%{NUMBER:pid}\s+---\s+\[\s*%{USERNAME:thread}\s*\]\s+%{JAVAFILE:class}\s*:\s*%{DATA:themessage}(?:\n+(?<stacktrace>(?:.|\r|\n)+))?$"
}
}
date {
match => [ "timestamp" , "yyyy-MM-dd HH:mm:ss.SSS" ]
}
mutate {
remove_field => ["#version"]
add_field => {
"appid" => "%{[path]}"
}
add_field => {
"levell" => "level"
}
}
}
I would like to take level (in the log is INFO), and message (in the log is Hello) and add them as fields.
Is there anyway to do that?
What if you do something like this using mutate:
filter {
mutate {
add_field => ["newfield", "%{appid} %{levell}"] <-- this should concat both your appid and level to a new field
}
}
You might have a look at this thread.
I have ELK running for log analysis. I have everything working. There are just a few tweaks I would like to make. To all the ES/ELK Gods in stackoverflow, I'd appreciate any help on this. I'd gladly buy you a cup of coffee! :D
Example:
URL: /origina-www.domain.com/this/is/a/path?page=2
First I would like to get the entire path as seen above.
Second, I would like to get just the path before the parameter: /origina-www.domain.com/this/is/a/path
Third, I would like to get just the parameter: ?page=2
Fourth, I would like to make the timestamp on the logfile be the main time stamp on kibana. Currently, the timestamp kibana is showing is the date and time the ES was processed.
This is what a sample entry looks like:
2016-10-19 23:57:32 192.168.0.1 GET /origin-www.example.com/url 200 1144 0 "-" "Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)" "-" "-"
Here's my config:
if [type] == "syslog" {
grok {
match => ["message", "%{IP:client}\s+%{WORD:method}\s+%{URIPATHPARAM:request}\s+%{NUMBER:bytes}\s+%{NUMBER:duration}\s+%{USER-AGENT}\s+%{QS:referrer}\s+%{QS:agent}%{GREEDYDATA}"]
}
date {
match => [ "timestamp", "MMM dd, yyyy HH:mm:ss a" ]
locale => "en"
}
}
ES Version: 5.0.1
Logstash Version: 5.0
Kibana: 5.0
UPDATE: I was actually able to solve it by using:
grok {
match => ["message", "%{IP:client}\s+%{WORD:method}\s+%{URIPATHPARAM:request}\s+%{NUMBER:bytes}\s+%{NUMBER:duration}\s+%{USER-AGENT}\s+%{QS:referrer}\s+%{QS:agent}%{GREEDYDATA}"]
}
grok {
match => [ "request", "%{GREEDYDATA:uri_path}\?%{GREEDYDATA:uri_query}" ]
}
kv {
source => "uri_query"
field_split => "&"
target => "query"
}
In order to use the actual timestamp of your log entry rather than the indexed time, you could use the date and mutate plugins as such to override the existing timestamp value. You could have your logstash filter look, something like this:
//filtering your log file
grok {
patterns_dir => ["/pathto/patterns"] <--- you could have a pattern file with such expression LOGTIMESTAMP %{YEAR}%{MONTHNUM}%{MONTHDAY} %{TIME} if you have to change the timestamp format.
match => { "message" => "^%{LOGTIMESTAMP:logtimestamp}%{GREEDYDATA}" }
}
//overriding the existing timestamp with the new field logtimestamp
mutate {
add_field => { "timestamp" => "%{logtimestamp}" }
remove_field => ["logtimestamp"]
}
//inserting the timestamp as UTC
date {
match => [ "timestamp" , "ISO8601" , "yyyyMMdd HH:mm:ss.SSS" ]
target => "timestamp"
locale => "en"
timezone => "UTC"
}
You could follow up Question for more as well. Hope it helps.
grok {
match => ["message", "%{IP:client}\s+%{WORD:method}\s+%{URIPATHPARAM:request}\s+%{NUMBER:bytes}\s+%{NUMBER:duration}\s+%{USER-AGENT}\s+%{QS:referrer}\s+%{QS:agent}%{GREEDYDATA}"]
}
grok {
match => [ "request", "%{GREEDYDATA:uri_path}\?%{GREEDYDATA:uri_query}" ]
}
kv {
source => "uri_query"
field_split => "&"
target => "query"
}
So I have log messages of the format :
[INFO] <blah.blah> 2016-06-27 21:41:38,263 some text
[INFO] <blah.blah> 2016-06-28 18:41:38,262 some other text
Now I want to drop all logs that does not contain a specific string "xyz" and keep all the rest. I also want to index timestamp.
grokdebug is not helping much.
This is my attempt :
input {
file {
path => "/Users/username/Desktop/validateLogconf/logs/*"
start_position => "beginning"
}
}
filter {
grok {
match => {
"message" => '%{SYSLOG5424SD:loglevel} <%{JAVACLASS:job}> %{GREEDYDATA:content}'
}
}
date {
match => [ "Date", "YYYY-mm-dd HH:mm:ss" ]
locale => en
}
}
output {
stdout {
codec => plain {
charset => "ISO-8859-1"
}
}
elasticsearch {
hosts => "http://localhost:9201"
index => "hello"
}
}
I am new to grok so patterns above might not be making sense. Please help.
To drop the message that does not contain the string xyz:
if ([message] !~ "xyz") {
drop { }
}
Your grok pattern is not grabbing the date part of your logs.
Once you have a field from your grok pattern containing the date, you can invoque the date filter on this field.
So your grok filter should look like this:
grok {
match => {
"message" => '%{SYSLOG5424SD:loglevel} <%{JAVACLASS:job}> %{TIMESTAMP_ISO8601:Date} %{GREEDYDATA:content}'
}
}
I added a part to grab the date, which will be in the field Date. Then you can use the date filter:
date {
match => [ "Date", "YYYY-mm-dd HH:mm:ss,SSS" ]
locale => en
}
I added the ,SSS so that the format match the one from the Date field.
The parsed date will be stored in the #timestamp field, unless specified differently with the target parameter.
to check if your message contains a substring, you can do:
if [message] =~ "a" {
mutate {
add_field => { "hello" => "world" }
}
}
So in your case you can use the if to invoke the drop{} filter, or you can wrap your output plugin in it.
To parse a date and write it back to your timestamp field, you can use something like this:
date {
locale => "en"
match => ["timestamp", "ISO8601"]
timezone => "UTC"
target => "#timestamp"
add_field => { "debug" => "timestampMatched"}
}
This matches my timestamp in:
Source field: "timestamp" (see match)
Format is "ISO...", you can use a custom format that matches your timestamp
timezone - self explanatory
target - write it back into the event's "#timestamp" field
Add a debug field to check that it has been matched correctly
Hope that helps,
Artur