I have tab separated string and I want to extract each fields using grok plugin.
The tab separated string is like
http://www.allaboutpc.co.kr 2016110913 d6123c6caa12f08852c82b876bdd3ceceb166d5e 0 0 1 0 /Event/QuizChoice.asp?IdxEvent=3141
I would like to get each fields as url, datetime, hashvalue, count1, count2, count3, count4, path.
I used %{DATA:hashvalue} for 3rd field to extract hashvalue but logstash didn't print hashvalue
Here is my conf file
input {
stdin { }
file {
path => "/Users/Projects/webmastermrinput/20161021/17/*"
codec => plain
}
}
filter {
# tab to space
mutate {
gsub => ["message", "\t", " "]
}
grok {
match => {
'message' => "%{DATA:url} %{NUMBER:datetime2} %{DATA:hashvalue} % {NUMBER:count1} %{NUMBER:count2} %{NUMBER:count3} %{NUMBER:count4} % {URIPATHPARAM:path}'
}
}
}
output {
stdout { codec => rubydebug }
}
Logstash output for input : "http://www.allaboutpc.co.kr 2016110913 d6123c6caa12f08852c82b876bdd3ceceb166d5e 0 0 1 0 /Event/QuizChoice.asp?IdxEvent=3141"
{
"#timestamp" => 2016-11-11T02:26:01.828Z,
"#version" => "1",
"host" => "MacBook-Air-10.local",
"datetime" => "2016110913",
"message" => "http://www.allaboutpc.co.kr 2016110913 d6123c6caa12f08852c82b876bdd3ceceb166d5e 0 0 1 0 /Event/QuizChoice.asp?IdxEvent=3141",
"url" => "http://www.allaboutpc.co.kr"
}
Your grok works perfectly well, you just need to remove the spaces between %and { in % {NUMBER:count1} and % {URIPATHPARAM:path}
'message' => "%{DATA:url} %{NUMBER:datetime2} %{DATA:hashvalue} % {NUMBER:count1} %{NUMBER:count2} %{NUMBER:count3} %{NUMBER:count4} % {URIPATHPARAM:path}'
^ ^
| |
here and here
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.
I'm currently discovering elastic search, kibana and logstash with docker. (Version 7.1.1) The three containers are running well.
I have some data files containing some lines like this one:
foo=bar type=alpha T=20180306174204527
My logstash.conf contains:
input {
file {
path => "/tmp/data/*.txt"
start_position => "beginning"
}
}
filter {
kv {
field_split => "\t"
value_split => "="
}
}
output {
elasticsearch { hosts => ["elasticsearch:9200"] }
stdout {
codec => rubydebug
}
}
I handle this data:
{
"host" => "07f3051a3bec",
"foo" => "bar",
"message" => "foo=bar\ttype=alpha\tT=20180306174204527",
"T" => "20180306174204527",
"#timestamp" => 2019-06-17T13:47:14.589Z,
"path" => "/tmp/data/ucL12018_03_06.txt",
"type" => "alpha"
"#version" => "1",
}
First step of job is done.
Now I want to add a filter to transform the value of the key T as a timestamp.
{
...
"T" => "2018-03-06T17:42:04.527Z",
"#timestamp" => 2019-06-17T13:47:14.589Z,
...
}
I do not know how to do it. I tried to add a second filter just after the kv filter, but nothing change when I add new files.
Add this filter after the kv filter:
date {
match => [ "T", "yyyyMMddHHmmssSSS" ]
target => "T"
}
The date filter will try to parse the field T using the provided pattern to create a date, which will be written to the T field (by default it overwrite the #timestamp field).
I am trying to parse
[7/1/05 13:41:00:516 PDT]
This is the configuration grok I have written for the same :
\[%{DD/MM/YY HH:MM:SS:S Z}\]
With the date filter :
input {
file {
path => "logstash-5.0.0/bin/sta.log"
start_position => "beginning"
}
}
filter {
grok {
match =>" \[%{DATA:timestamp}\] "
}
date {
match => ["timestamp","DD/MM/YY HH:MM:SS:S ZZZ"]
}
}
output {
stdout{codec => "json"}
}
above is the configuration I have used.
And consider this as my sta.log file content:
[7/1/05 13:41:00:516 PDT]
Getting this error :
[2017-01-31T12:37:47,444][ERROR][logstash.agent ] fetched an invalid config {:config=>"input {\nfile {\npath => \"logstash-5.0.0/bin/sta.log\"\nstart_position => \"beginning\"\n}\n}\nfilter {\ngrok {\nmatch =>\"\\[%{DATA:timestamp}\\]\"\n}\ndate {\nmatch => [\"timestamp\"=>\"DD/MM/YY HH:MM:SS:S ZZZ\"]\n}\n}\noutput {\nstdout{codec => \"json\"}\n}\n\n", :reason=>"Expected one of #, {, ,, ] at line 12, column 22 (byte 184) after filter {\ngrok {\nmatch =>\"\\[%{DATA:timestamp}\\]\"\n}\ndate {\nmatch => [\"timestamp\""}
Can anyone help here?
You forgot to specify the input for your grokfilter. A correct configuration would look like this:
input {
file {
path => "logstash-5.0.0/bin/sta.log"
start_position => "beginning"
}
}
filter {
grok {
match => {"message" => "\[%{DATA:timestamp} PDT\]"}
}
date {
match => ["timestamp","dd/MM/yy HH:mm:ss:SSS"]
}
}
output {
stdout{codec => "json"}
}
For further reference check out the grok documentation here.
i am trying to parse this log line:
- 2014-04-29 13:04:23,733 [main] INFO (api.batch.ThreadPoolWorker) Command-line options for this run:
here's the logstash config file i use:
input {
stdin {}
}
filter {
grok {
match => [ "message", " - %{TIMESTAMP_ISO8601:time} \[%{WORD:main}\] %{LOGLEVEL:loglevel} %{JAVACLASS:class} %{DATA:mydata} "]
}
date {
match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
}
output {
elasticsearch {
host => "localhost"
}
stdout { codec => rubydebug }
}
Here's the output i get:
{
"message" => " - 2014-04-29 13:04:23,733 [main] INFO (api.batch.ThreadPoolWorker) Commans run:",
"#version" => "1",
"#timestamp" => "2015-02-02T10:53:58.282Z",
"host" => "NAME_001.corp.com",
"tags" => [
[0] "_grokparsefailure"
]
}
Please if anyone can help me find where the problem is on the gork pattern.
I tried to parse that line in http://grokdebug.herokuapp.com/ but it parses only the timestamp, %{WORD} and %{LOGLEVEL} the rest is ignored!
There are two error in your config.
First
The error in GROK is the JAVACLASS, you have to include ( ) in the pattern, For example: \(%{JAVACLASS:class}\.
Second
The date filter match have two value, first is the field you want to parse, so in your example it is time, not timestamp. The second value is the date pattern. You can refer to here
Here is the config
input {
stdin {
}
}
filter {
grok {
match => [ "message", " - %{TIMESTAMP_ISO8601:time} \[%{WORD:main}\] %{LOGLEVEL:loglevel} \(%{JAVACLASS:class}\) %{GREEDYDATA:mydata}"
]
}
date {
match => [ "time" , "YYYY-MM-dd HH:mm:ss,SSS" ]
}
}
output
{
stdout {
codec => rubydebug
}
}
FYI. Hope this can help you.
I am trying to get the desired time stamp format from logstash output. I can''t get that if I use this format in syslog
Please share your thoughts about convert to the other format that’s in the _source field like Yyyy-mm-ddThh:mm:ss.sssZ format?
filter {
grok {
match => [ "logdate", "Yyyy-mm-ddThh:mm:ss.sssZ" ]
overwrite => ["host", "message"]
}
_source: {
message: "activity_log: {"created_at":1421114642210,"actor_ip":"192.168.1.1","note":"From system","user":"4561c9d7aaa9705a25f66d","user_id":null,"actor":"4561c9d7aaa9705a25f66d","actor_id":null,"org_id":null,"action":"user.failed_login","data":{"transaction_id":"d6768c473e366594","name":"user.failed_login","timing":{"start":1422127860691,"end":14288720480691,"duration":0.00257},"actor_locatio
I am using this code in syslog file
filter {
if [message] =~ /^activity_log: / {
grok {
match => ["message", "^activity_log: %{GREEDYDATA:json_message}"]
}
json {
source => "json_message"
remove_field => "json_message"
}
date {
match => ["created_at", "UNIX_MS"]
}
mutate {
rename => ["[json][repo]", "repo"]
remove_field => "json"
}
}
}
output {
elasticsearch { host => localhost }
stdout { codec => rubydebug }
}
thanks
"message" => "<134>feb 1 20:06:12 {\"created_at\":1422765535789, pid=5450 tid=28643 version=b0b45ac proto=http ip=192.168.1.1 duration_ms=0.165809 fs_sent=0 fs_recv=0 client_recv=386 client_sent=0 log_level=INFO msg=\"http op done: (401)\" code=401" }
"#version" => "1",
"#timestamp" => "2015-02-01T20:06:12.726Z",
"type" => "activity_log",
"host" => "192.168.1.1"
The pattern in your grok filter doesn't make sense. You're using a Joda-Time pattern (normally used for the date filter) and not a grok pattern.
It seems your message field contains a JSON object. That's good, because it makes it easy to parse. Extract the part that comes after "activity_log: " to a temporary json_message field,
grok {
match => ["message", "^activity_log: %{GREEDYDATA:json_message}"]
}
and parse that field as JSON with the json filter (removing the temporary field if the operation was successful):
json {
source => "json_message"
remove_field => ["json_message"]
}
Now you should have the fields from the original message field at the top level of your message, including the created_at field with the timestamp you want to extract. That number is the number of milliseconds since the epoch so you can use the UNIX_MS pattern in a date filter to extract it into #timestamp:
date {
match => ["created_at", "UNIX_MS"]
}