After parsing logs I am find there are some new lines at the end of the message
Sample message
ts:2016-04-26 05-02-16-018
CDT|ll:TRACE|tid:10000.140|scf:xxxxxxxxxxxxxxxxxxxxxxxxxxx.pc|mn:null|fn:xxxxxxxxxxxxxxxxxxxxxxxxxxx|ln:749|auid:xxxxxxxxxxxxxxxxxxxxxxxxxxx|eid:xxx.xxx.xxx.xxx-58261618-1-1461664935955-139|cid:900009865|ml:null|mid:-99|uip:xxx.xxx.xxx.xxx|hip:xxx.xxx.xxx.xxx|pli:null|msg:
xxxxxxxxxxxxxxxxxxxxxxxxxxx|pl: xxxxxxxxxxxxxxxxxxxxxxxxxxx
TAKE 1 xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx
I am using the regex pattern below as suggested below as answers
ts:(?(([0-9]+)-)+ ([0-9]+-)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{NUMBER:tid}\|scf:%{DATA:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{DATA:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{NUMBER:mid}\|uip:%{DATA:uip}\|hip:%{DATA:hip}\|pli:%{WORD:pli}\|\smsg:%{GREEDYDATA:msg}(\|pl:(?(.|\r|\n)))
But unfortunately it is not working properly when the last part of the log is not present
ts:2016-04-26 05-02-16-018
CDT|ll:TRACE|tid:10000.140|scf:xxxxxxxxxxxxxxxxxxxxxxxxxxx.pc|mn:null|fn:xxxxxxxxxxxxxxxxxxxxxxxxxxx|ln:749|auid:xxxxxxxxxxxxxxxxxxxxxxxxxxx|eid:xxx.xxx.xxx.xxx-58261618-1-1461664935955-139|cid:900009865|ml:null|mid:-99|uip:xxx.xxx.xxx.xxx|hip:xxx.xxx.xxx.xxx
What should be the correct pattern?
-------------------Previous Question --------------------------------------
I am trying to parse log line such as this one.
ts:2016-04-26 05-02-16-018 CDT|ll:TRACE|tid:10000.140|scf:xxxxxxxxxxxxxxxxxxxxxxxxxxx.pc|mn:null|fn:xxxxxxxxxxxxxxxxxxxxxxxxxxx|ln:749|auid:xxxxxxxxxxxxxxxxxxxxxxxxxxx|eid:xxx.xxx.xxx.xxx-58261618-1-1461664935955-139|cid:900009865|ml:null|mid:-99|uip:xxx.xxx.xxx.xxx|hip:xxx.xxx.xxx.xxx|pli:null|msg: xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx
Below is my logstash filter
filter {
grok {
match => ["mesage", "ts:(?<date>(([0-9]+)-*)+ ([0-9]+-*)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{WORD:tid}\|scf:%{WORD:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{WORD:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{WORD:mid}\|uip:%{WORD:uip}\|hip:%{WORD:hip}\|pli:%{WORD:pli}\|msg:%{WORD:msg}"]
}
date {
match => ["ts","yyyy-MM-dd HH-mm-ss-SSS ZZZ"]
target => "#timestamp"
}
}
I am getting "_grokparsefailure"
I have tested the configuration from #HAL, there was a few things to change:
In the grok filter mesage => message
In the date filter ts => date so the date parsing is on the right field
The CDT is a time zone name, it is captured by z in the date syntax.
So the right configuration would look like this :
filter{
grok {
match => ["message", "ts:(?<date>(([0-9]+)-*)+ ([0-9]+-*)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{NUMBER:tid}\|scf:%{DATA:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{DATA:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{NUMBER:mid}\|uip:%{DATA:uip}\|hip:%{DATA:hip}\|pli:%{WORD:pli}\|\s*msg:%{GREEDYDATA:msg}"]
}
date {
match => ["date","yyyy-MM-dd HH-mm-ss-SSS z"]
target => "#timestamp"
}
}
Tried to parse your input via grokdebug with your expression but it failed to read out any fields. Managed to get it to work by changing the expression to:
ts:(?<date>(([0-9]+)-*)+ ([0-9]+-*)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{NUMBER:tid}\|scf:%{DATA:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{DATA:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{NUMBER:mid}\|uip:%{DATA:uip}\|hip:%{DATA:hip}\|pli:%{WORD:pli}\|\s*msg:%{GREEDYDATA:msg}
I also think that you need to change the name of the column that logstash shall parse from mesage to message.
Also, the date parsing pattern should match the format of the date in the input. There is no timezone identity (ZZZ) in your input data (at least not in the example).
Something like this should work better (not tested though):
filter {
grok {
match => ["mesage", "ts:(?<date>(([0-9]+)-*)+ ([0-9]+-*)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{NUMBER:tid}\|scf:%{DATA:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{DATA:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{NUMBER:mid}\|uip:%{DATA:uip}\|hip:%{DATA:hip}\|pli:%{WORD:pli}\|\s*msg:%{GREEDYDATA:msg}"]
}
date {
match => ["ts","yyyy-MM-dd HH-mm-ss-SSS"]
target => "#timestamp"
}
}
Related
FMT="1358 15:41:07W19/03/21 (A) Interlocking Link 116 Restored" STY="A" AMSEQ="LINKFAIL" AMSST="RTN" ALTID="1358" TS="20210319154107" CP="LOC A" CP="LOC X" MP="104.95" MP="104.95" EQ="MDIPRIMARYOFF" POS="TC-NORTH"
The log format is as above. I would like to capture the following fields using grok
Time - 15:41:07
Date - 19/03/21
Message - Interlocking Link 116 Restored
Location - Loc X
Anyone help with creating grok pattern that I can use on my logstash filter to parse my logs?
I would not use grok to start with. This is key/value data, so a kv filter will get you started, then you can grok the parts of the FMT field out.
kv { include_keys => [ "FMT", "CP" ] target => "[#metadata]" }
mutate { add_field => { "Location" => "%{[#metadata][CP][1]}" } }
grok { match => { "[#metadata][FMT]" => "%{NUMBER} %{TIME:Time}W%{DATE_EU:Date} \(%{WORD}\) %{GREEDYDATA:Message}" } }
will result in
"Message" => "Interlocking Link 116 Restored",
"Date" => "19/03/21",
"Time" => "15:41:07",
"Location" => "LOC X",
Although having multiple CP fields feels fragile.
The include_keys option on the kv filter tells the filter to ignore other keys. Using target to put the fields under [#metadata] means they are available to other filters but are not sent to the output. The remove_field option on the kv filter is only processed if the filter is able to parse the message, so if your kv data is invalid you will have a [message] field on the event that you can look at.
I´m trying to extract the number of ms in this logline
20190726160424 [INFO]
[concurrent/forasdfMES-managedThreadFactory-Thread-10] -
Metricsdceptor: ## End of call: Historirrtory.getHistrrOrder took 2979
ms
The problem is, that not all loglines contain that string
Now I want to extract it optionally into a duration field. I tried this, but nothing happend .... no error, but also no result.
grok
{
match => ["message", "(took (?<duration>[\d]+) ms)?"]
}
What I´m I doing wrong ?
Thanks guys !
A solution would be to only apply the grok filter on the log lines ending with ms. It can be done using conditionals in your configuration.
if [message] =~ /took \d+ ms$/ {
grok {
match => ["message", "took %{NUMBER:duration} ms"]
}
}
I cannot explain why, but it works if you anchor it
grok { match => { "message" => "(took (?<duration>\d+) ms)?$" } }
2017-08-09T12:01:43.049963+05:30 55.3.244.1 11235 GET
This is my log data.
I am trying to filter this data using custom patterns. I am getting "_grokparsefailure" error.
my pattern file data isTIMESTAMP_LOG [0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{6}\+[0-9]{2}:[0-9]{2}
my filter is:
filter {
grok {
patterns_dir => ["./patterns"]
match => { "message" => "%{TIMESTAMP_LOG:time} %{IP:client} %{NUMBER:bytes} %{WORD:method}" }
} }
can anyone help me where i am done wrong.Thanks.
Your timestamp is actually of a standard format - ISO8601. So instead of having your custom pattern for timestamp, you can use one built into Logstash instead. I tested this grok pattern and it worked with your sample log:
%{TIMESTAMP_ISO8601:time} %{IP:client} %{NUMBER:bytes} %{WORD:method}
I am trying to stash a log file to elasticsearch using Logstash. I am facing a problem while doing this.
If the log file has same kind of log lines like the below,
[12/Sep/2016:18:23:07] VendorID=5037 Code=C AcctID=5317605039838520
[12/Sep/2016:18:23:22] VendorID=9108 Code=A AcctID=2194850084423218
[12/Sep/2016:18:23:49] VendorID=1285 Code=F AcctID=8560077531775179
[12/Sep/2016:18:23:59] VendorID=1153 Code=D AcctID=4433276107716482
where the date, vendorId, code and acctID's order of occurrence of fields does not change or a new element is not added in to it, then the filter(given below) in the config files work well.
\[%{MONTHDAY}/%{MONTH}/%{YEAR}:%{TIME}\] VendorID=%{INT:VendorID} Code=%{WORD:Code} AcctID=%{INT:AcctID}
Suppose the order changes like the example given below or if a new element is added to one of the log lines, then the grokparsefailure occurs.
[12/Sep/2016:18:23:07] VendorID=5037 Code=C AcctID=5317605039838520
[12/Sep/2016:18:23:22] VendorID=9108 Code=A AcctID=2194850084423218
[12/Sep/2016:18:23:49] VendorID=1285 Code=F AcctID=8560077531775179
[12/Sep/2016:18:23:59] VendorID=1153 Code=D AcctID=4433276107716482
[12/Sep/2016:18:24:50] AcctID=3168124750473449 VendorID=1065 Code=L
[12/Sep/2016:18:24:50] AcctID=3168124750473449 VendorID=1065 Code=L
[12/Sep/2016:18:24:50] AcctID=3168124750473449 VendorID=1065 Code=L
Here in the example, the last three log lines are different from the first four log lines in order of occurrence of the fields. And because of this, the filter message with the grok pattern could not parse the below three lines as it is written for the first four lines.
How should I handle this scenario, when i come across this case? Please help me solve this problem. Also provide any link to any document for detailed explanation with examples.
Thank you very much in advance.
As correctly pointed out by baudsp, this can be achieved by multiple grok filters. The KV filter seems like a nicer option, but as for grok, this is one solution:
input {
stdin {}
}
filter {
grok {
match => {
"message" => ".*test1=%{INT:test1}.*"
}
}
grok {
match => {
"message" => ".*test2=%{INT:test2}.*"
}
}
}
output {
stdout { codec => rubydebug }
}
By having 2 different grok filter applied, we can disregard the order of the logs coming in. The patterns specified basically do not care about what comes before or after the String test and rather just standalone match their respective patterns.
So, for these 2 strings:
test1=12 test2=23
test2=23 test1=12
You will get the correct output. Test:
artur#pandaadb:~/dev/logstash$ ./logstash-2.3.2/bin/logstash -f conf_grok_ordering/
Settings: Default pipeline workers: 8
Pipeline main started
test1=12 test2=23
{
"message" => "test1=12 test2=23",
"#version" => "1",
"#timestamp" => "2016-12-21T16:48:24.175Z",
"host" => "pandaadb",
"test1" => "12",
"test2" => "23"
}
test2=23 test1=12
{
"message" => "test2=23 test1=12",
"#version" => "1",
"#timestamp" => "2016-12-21T16:48:29.567Z",
"host" => "pandaadb",
"test1" => "12",
"test2" => "23"
}
Hope that helps
I'm new to logstash and grok and have a question regarding a pattern.
Jul 26 09:46:37
The above content contains %{MONTH} %{MONTHDAY} %{TIME} and white spaces.
I need to know how to combine all these and create a pattern %{sample_timestamp}
Thanks!
Quotes from the Grok Custom Patterns Docs (RTFM):
First, you can use the Oniguruma syntax for named capture which will
let you match a piece of text and save it as a field:
(?<field_name>the pattern here)
...
Alternately, you can create a custom patterns file.
Create a directory called patterns with a file in it called extra (the file name doesn’t matter, but name it meaningfully for yourself)
In that file, write the pattern you need as the pattern name, a space, then the regexp for that pattern.
So you could create a pattern file that contained the line:
CUST_DATE %{MONTH} %{MONTHDAY} %{TIME}
Then use the patterns_dir setting in this plugin to tell logstash
where your custom patterns directory is.
filter {
grok {
patterns_dir => ["./patterns"]
match => { "message" => "%{CUST_DATE:datestamp}" }
}
}
Would result in the field:
datestamp => "Jul 26 09:46:37"
Filter
use pattern_definitions to define your patterns
filter {
grok {
pattern_definitions => { "MY_DATE" => "%{MONTH} %{MONTHDAY} %{TIME}" }
match => { "message" => "%{MY_DATE:timestamp}" }
}
}
Result
{
"timestamp": "Jul 26 09:46:37"
}
Tested using Logstash 6.5