I tried using multiline in grok filters but its not working properly.
My Logs are
H3|15:55:04:760|exception|not working properly
message:space exception
at line number 25
My conf file is
input { file {
path => "logs/test.log"
start_position => beginning
sincedb_path => "/dev/null"
}}
filter{
multiline {
pattern => "^(\s|[A-Z][a-z]).*"
what => "previous"
}
if [message] =~ /H\d+/{
grok {
match => ["message", "(?m)%{USERNAME:level}\|%{TIME:timestamp}\|%{WORD:method}\|%{GREEDYDATA:error_Message}" ]
}
}
else {
grok {
match => ["message", "(?m)%{GREEDYDATA:error_Message}" ]
}
}
}
output {elasticsearch { host => "localhost" protocol => "http" port => "9200" }}
I am able to process the first line of log file, but second line of log file is not working where I would like to use multiline
Output i would like to have
{
"#timestamp" => "2014-06-19 00:00:00,000"
"path" => "logs/test.log"
"level"=>"H3"
"timestamp"=>15:55:04:760
"method"=>exception
"error_message"=>not working properly
},
{
"#timestamp" => "2014-06-19 00:00:00,000"
"path" => "logs/test.log"
"error_message" => "space exception at line 25"
}
Kindly help me to get required output.
Your multiline config says, "if I find this pattern, keep it with the previous line".
Your pattern "^(\s|[A-Z][a-z]).*" says "either a space, or a capital letter followed by a lowercase letter, then followed by other stuff".
So, " foo" or "California" would match, but "H3" wouldn't.
I would suggest a pattern that matches the start of your multiline expression, and use the 'negate' feature to have all lines that don't match that pattern join to the original line:
filter {
multiline {
pattern => "^[A-Z][0-9]\|"
negate => 'true'
what => 'previous'
}
}
}
This would take the "H3|" line as the beginning, and join all other lines to it. Depending on the range of values at the beginning of the line, you may need to edit the regexp.
Related
I have XML logs where logs are closed with "=======", e.g.
<log>
<level>DEBUG</level>
<message>This is debug level</message>
</log>
=======
<log>
<level>ERROR</level>
<message>This is error level</message>
</log>
=======
Every log can span across multiple lines.
How to parse those logs using logstash?
This can be done using multiline codec. The delimiter "=======" can be used in pattern like this
input {
file {
type => "xml"
path => "/path/to/logs/*.log"
codec => multiline {
pattern => "^======="
negate => "true"
what => "previous"
}
}
}
filter {
mutate {
gsub => [ "message", "=======", ""]
}
xml {
force_array => false
source => "message"
target => "log"
}
mutate {
remove_field => [ "message" ]
}
}
output {
elasticsearch {
codec => json
hosts => ["http://localhost:9200"]
index => "logs-%{+YYYY.MM.dd}"
}
}
Here the combination of pattern and negate => true means: if a line does not start with "=======" it belongs to the previous event (thus what => "previous"). When a line with the delimiter is hit, we start a new event. In the filter the delimiter is simply removed with gsub and XML is parsed with xml plugin.
With Logstash 2.3.3, grok filter doesn't work for the last field.
To reproduce the problem, create test.conf as follows:
input {
file {
path => "/Users/izeye/Applications/logstash-2.3.3/test.log"
}
}
filter {
grok {
match => { "message" => "%{DATA:id1},%{DATA:id2},%{DATA:id3},%{DATA:id4},%{DATA:id5}" }
}
}
output {
stdout {
codec => rubydebug
}
}
Run ./bin/logstash -f test.conf
and after it started, in another terminal run echo "1,2,3,4,5" >> test.log
and I got the following output:
Johnnyui-MacBook-Pro:logstash-2.3.3 izeye$ ./bin/logstash -f test.conf
Settings: Default pipeline workers: 8
Pipeline main started
{
"message" => "1,2,3,4,5",
"#version" => "1",
"#timestamp" => "2016-07-07T07:57:42.830Z",
"path" => "/Users/izeye/Applications/logstash-2.3.3/test.log",
"host" => "Johnnyui-MacBook-Pro.local",
"id1" => "1",
"id2" => "2",
"id3" => "3",
"id4" => "4"
}
You can see the missing id5.
I'm not sure this is a bug or mis-configured.
Any hint will be appreciated.
I think it is because how the DATA pattern is defined. Its regex is .*?, so it's a lazy match.
It's not a bug, it's how regex works (example).
But you might want to ask a regex question in order to have an accurate answer.
As a solution, you can replace the last DATA with NUMBER (or something appropriate to your situation). GREEDYDATA would also work.
Though, in that solution, the csv or dissect filters might be better fit, as easier to configure and more performant.
I am pretty new to logstash and I have been trying to convert an existing log into a csv format using the logstash-output-csv plugin.
My input log string looks as follows which is a custom log written in our application.
'128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)'
I wrote a quick regex and added it to the patterns_dir using the grok plugin.
My pattern is as follows :
IP_ADDRESS [0-9,.]+
CPU [0-9]
NSFW \S+
NUMBER [0-9]
DATE [0-9,/]+\s+[0-9]+[:]+[0-9]+[:]+[0-9,.]+
TIME \S+
COMPONENT_ID \S+
LOG_MESSAGE .+
without adding any csv filters I was able to get this output.
{
"message" => "128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)",
"#version" => "1",
"#timestamp" => "2015-08-18T21:06:56.05Z",
"host" => "hostname",
"path" => "/usr/phd/raveesh/sample.log_20150819000609",
"tags" => [
[0] "_grokparsefailure"
]
}
This is my configuration in order to get the csv as an output
input {
file {
path => "/usr/phd/raveesh/temporary.log_20150819000609"
start_position => beginning
}
}
filter {
grok {
patterns_dir => "./patterns"
match =>["message", "%{IP_ADDRESS:ipaddress}/%{CPU:cpu}/%{NSFW:nsfw}<%{NUMBER:number}>%{DATE}:%{SPACE:space}%{COMPONENT_ID:componentId}%{SPACE:space}%{LOG_MESSAGE:logmessage}" ]
break_on_match => false
}
csv {
add_field =>{"ipaddress" => "%{ipaddress}" }
}
}
output {
# Print each event to stdout.
csv {
fields => ["ipaddress"]
path => "./logs/firmwareEvents.log"
}
stdout {
# Enabling 'rubydebug' codec on the stdout output will make logstash
# pretty-print the entire event as something similar to a JSON representation.
codec => rubydebug
}
}
The above configuration does not seem to give the output. I am trying only to print the ipaddress in a csv file but finally I need to print all the captured patterns in a csv file. so I need the output as follows :
128.111.111.111,cpu0,nsfw, ....
Could you please let me know the changes i need to make. ?
Thanks in advance
EDIT:
I fixed the regex as suggested using the tool http://grokconstructor.appspot.com/do/match#result
Now my regex filter looks as follows :
%{IP:client}\/%{WORD:cpu}\/%{NOTSPACE:nsfw}<%{NUMBER:number}>%{YEAR:year}\/%{MONTHNUM:month}\/%{MONTHDAY:day}%{SPACE:space}%{TIME:time}:%{SPACE:space2}%{NOTSPACE:comp}%{SPACE:space3}%{GREEDYDATA:messagetext}
How do I capture the individual splits and save it as a csv ?
Thanks
EDIT:
I finally resolved this using the File plugin .
output {
file{
path => "./logs/sample.log"
message_pattern =>"%{client},%{number}"
}
}
The csv tag in the filter section is for parsing the input and exploding the message to key/value pairs.
In your case you are already parsing the input with the grok, so I bet you don't need the csv filter.
But in the output we can see there is a gorkfailure
{
"message" => "128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)",
"#version" => "1",
"#timestamp" => "2015-08-18T21:06:56.05Z",
"host" => "hostname",
"path" => "/usr/phd/raveesh/sample.log_20150819000609",
"tags" => [
[0] "****_grokparsefailure****"
]
}
That means your grok expression cannot parse the input.
You should fix the expression according to your input and then the csv will output properly.
Checkout http://grokconstructor.appspot.com/do/match for some help
BTW, are you sure the patterns NSFW, CPU, COMPONENT_ID, ... are defined somewhere ?
HIH
When i defined the pattern for parsing apache tomcat and application log files in logstash we are getting the following error .
Sample log file is :
2014-08-20 12:35:26,037 INFO [routerMessageListener-74] PoolableRuleEngineFactory Executing the rule -->ECE Tagging Rule
config file is :
filter{
grok{
type => "log4j"
#pattern => "%{TIMESTAMP_ISO8601:logdate} %{LOGLEVEL:severity} \[\w+\[% {GREEDYDATA:thread},.*\]\] %{JAVACLASS:class} - %{GREEDYDATA:message}"
pattern => "%{TIMESTAMP_ISO8601:logdate}"
#add_tag => [ "level_%{level}" ]
}
date {
match => [ "logdate", "YYYY-MM-dd HH:mm:ss,SSS"]
}
}
Unknown setting 'timestamp' for date {:level=>:error}
Your post does not show a setting 'timestamp' for your date filter. I suspect you had started with the example here which used timestamp setting that used to be in older versions of date filter. You correctly fixed it for newer version of logstash to use match setting but perhaps had not saved your change. I have no problems using above filter with logstash-1.5.3.
Here is my complete config file. Note I am still testing it but it seems to be working to import a JBoss log with Log4J log messages imported from an existing log file.
input {
tcp {
type => "log4j"
port => 4560
}
stdin {
type => "log4j"
}
}
filter {
grok{
type => "log4j"
#pattern => "%{TIMESTAMP_ISO8601:logdate} %{LOGLEVEL:severity} \[\w+\[%{GREEDYDATA:thread},.*\]\] %{JAVACLASS:class} - %GREEDYDATA:message}"
pattern => "%{TIMESTAMP_ISO8601:logdate}"
#add_tag => [ "level_%{level}" ]
}
date {
type => "log4j"
match => [ "logdate", "YYYY-MM-dd HH:mm:ss,SSS"]
exclude_tags => "_grokparsefailure"
}
# Catches normal space indented type things, probably could be removed b/c the other multiline should do everythign we need
multiline {
type => "log4j"
tags => ["_grokparsefailure"] # exclude anything we already handled
pattern => ".*"
what => "previous"
add_tag => "notgrok"
}
}
output {
gelf {
host => "localhost"
custom_fields => ["environment", "PROD", "service", "BestServiceInTheWorld"]
}
# Print each event to stdout.
stdout {
codec => json
}
}
I am shipping Glassfish 4 logfiles with Logstash to an ElasticSearch sink. How can I remove with Logstash the trailing newline from a message field?
My event looks like this:
{
"#timestamp" => "2013-11-21T13:29:33.081Z",
"message" => "[2013-11-21T13:29:32.577+0000] [glassfish 4.0] [INFO] [] [javax.resourceadapter.mqjmsra.lifecycle] [tid: _ThreadID=142 _ThreadName=Thread-43] [timeMillis: 1385040572577] [levelValue: 800] [[\n MQJMSRA_RA1101: GlassFish MQ JMS Resource Adapter stopped.]]\n",
"#version" => "1",
"tags" => ["multiline", "date_filtered"],
"host" => "myhost",
"path" => "../server.log"
}
A second solution is using the mutate filter of Logstash. It allows you to strip the value of a field.
filter {
# Remove leading and trailing whitspaces (including newline etc. etc.)
mutate {
strip => "message"
}
}
You have to use the multiline filter with the correct pattern, to tell logstash, that every line with precending whitespace belongs to the line before. Add this lines to your conf file.
filter{
...
multiline {
type => "gflogs"
pattern => "\[\#\|\d{4}"
negate => true
what => "previous"
}
...
}
You can also include grok plugin to handle timestamp and filter irregular lines from beeing indexed.
See complete stack with single logstash instance on same machine
input {
stdin {
type => "stdin-type"
}
file {
path => "/path/to/glassfish/logs/*.log"
type => "gflogs"
}
}
filter{
multiline {
type => "gflogs"
pattern => "\[\#\|\d{4}"
negate => true
what => "previous"
}
grok {
type => "gflogs"
pattern => "(?m)\[\#\|%{TIMESTAMP_ISO8601:timestamp}\|%{LOGLEVEL:loglevel}\|%{DATA:server_version}\|%{JAVACLASS:category}\|%{DATA:kv}\|%{DATA:message}\|\#\]"
named_captures_only => true
singles => true
}
date {
type => "gflogs"
match => [ "timestamp", "ISO8601" ]
}
kv {
type => "gflogs"
exclude_tags => "_grokparsefailure"
source => "kv"
field_split => ";"
value_split => "="
}
}
output {
stdout { codec => rubydebug }
elasticsearch { embedded => true }
}
This worked for me. Pleas look also this post on logstash-usergroup. I can also advice the great and up to date logstash book. Its also a good way to support the work of the logstash author.
Hope to see you on any JUG-Berlin Event!