My log file has lines of the form:
10/13 14:05:18.192 [modulename]: [pid]: (debug level string): message string XYZ:<xyz value>
where
modulename is a string
pid is an integer number
debug level string is a string like "debug" or "info" or "error"
message string is a string
xyz value is an integer number
example:
10/13 14:05:18.192 [MyModule]: [12345]: (debug): This is my message. XYZ: 987
I searched around and tried a few things, but am getting _grokparsefailure. Can someone help show me what filter I can use in logstash to parse these logs?
First of all {GREEDYDATA} means until the end of a logging event. So, all the text that resides after dbg_lvl will be assigned to {GREEDYDATA}
Here, try the following code. The problem with your code filter was it was not able to parse anything after msg. Hope this helps.
(?<date>\d\d/\d\d) %{TIME:time} \[%{WORD:module}\]: \[%{WORD:pid}\]: \(%{WORD:log_level}\): %{CISCO_REASON}. %{WORD}: %{BASE10NUM:xyz_number}
Related
Working on a way to completely replace the event with the string in logstash filter.
Input:
{
"a": "b",
"c", "d"
}
Output "a:b-c:d"
Tried using the ruby code. I'm able to form the pattern but how can i replace the output string with the original json event. I want to completely remove the existing event.
Any help is much appreciated.
Thans in advance
I'm getting this message in Redshift: invalid input syntax for type numeric: " " , even after trying to implement the advice found in SO.
I am trying to convert text to number.
In my inner join, I try to make sure that the text being processed is first converted to null when there is an empty string, like so:
nullif(trim(atl.original_pricev::text),'') as original_price
... I noticed from a related post on coalesce that you have to convert the value to text before you can try and nullif it.
Then in the outer join, I test to see that there's a limited set of acceptable characters and if this test is met I try to do the to_number conversion:
,case
when regexp_instr(trim(atl.original_price),'[^0-9.$,]')=0
then to_number(atl.original_price,'FM999999999D00')
else null
end as original_price2
At this point I get the above error and unfortunately I can't see the details in datagrip to get the offending value.
So my questions are:
I notice that there is an empty space in my error message:
invalid input syntax for type numeric: " " . Does this error have the exact same meaning as
invalid input syntax for type numeric:'' which is what I see in similar posts??
Of course: what am I doing wrong?
Thanks!
It's hard to know for sure without some data and the complete code to try and reproduce the example, but as some have mentioned in the comments the most likely cause is the to_number() function you are using.
In the earlier code fragment you are converting original_price to text (string) and then substituting an empty string ('') if the value is NULL. Calling the to_number() function on an empty string will give you the error described.
Without the full SQL statement it's not clear why you're putting the nullif() function around the original_price in the "inner join" or how whether the CASE statement is really in an outer join clause or one of the columns returned by the query. However you could perhaps alter the nullif() to substitute a value that can be converted to a number e.g. '0.00' instead of ''.
Sorry I couldn't share real data. I spent the weekend testing small sets to try and trap the error. I found that the error was caused by the input string having no numbers, which is permitted by my regex filter:
when regexp_instr(trim(atl.original_price),'[^0-9.$,]') .
I wrongly expected that a non numeric string like "$" would evaluate to NULL and then the to_number function would = NULL . But from experimenting it seems that it needs at least one number somewhere in the string. Otherwise it reduces the string argument to an empty string prior to running the to_number formatting and chokes.
For example select to_number(trim('$1'::text),'FM999999999999D00') will evaluate to 1 but select to_number(trim('$A'::text),'FM999999999999D00') will throw the empty string error.
My fix was to add an additional regex to my initial filter:
and regexp_instr(atl.original_price2,'[0-9]')>0 .
This ensures that at least one number will be in the string and after that the empty string error went away.
Hope my learning experience helps someone else.
Elastic newbie here - working with a new 5.5 install. I have a log line that looks like so:
[2015/10/01#19:48:22.785-0400] P-4780 T-2208 I DBUTIL : (451) prostrct
create session begin for timk519 on CON:.
I have the following regex:
\[%{DATE:date}#%{TIME:time}-(?<gmtoffset>\d{4})\]\s*(?<procid>P-[0-9]+)\s*(?<threadid>T-[0-9]+)\s*(?<msgtype>[ifIF])\s*(?<processtype>[a-zA-Z]+)\s*(?<usernumber>[0-9]+|[:])\s*\((?<msgnum>[0-9]+|[\-]+)\)\s*%{GREEDYDATA:message}
When I try it in the kibana grok debugger it doesn't work and I get the following error:
GrokDebugger: [parse_exception] [pattern_definitions] property isn't a
map, but of type [java.lang.String], with { header={
processor_type="grok" & property_name="pattern_definitions" } }
this appears to be due to the \[ at the start of the line. If I replace the leading \[ with a period "." I get this
.%{DATE:date}#%{TIME:time}-(?<gmtoffset>\d{4})\]\s*(?<procid>P-[0-9]+)\s*(?<threadid>T-[0-9]+)\s*(?<msgtype>[ifIF])\s*(?<processtype>[a-zA-Z]+)\s*(?<usernumber>[0-9]+|[:])\s*\((?<msgnum>[0-9]+|[\-]+)\)\s*%{GREEDYDATA:message}
the grok debugger and https://grokdebug.herokuapp.com/ are good with this pattern.
When I put this regex into logstash, it fails to recognize the msgnum (451) part of the line because of the escaped parens \( and \) around the msgnum field, and as a result fails to recognize the line as a legal string.
Am I escaping something incorrectly? Is this a bug?
UPDATE 2017-07-21
I got around the issue with escaping ( and ) by putting them in [(] and [)]. I haven't figured out a way to solve matching the leading [ yet.
UPDATE 2017-07-24
The answer below was an epic catch and I've used that to create the following custom patterns:
DBTIME %{TIME}[-+]\d{4}
DBTIMESTAMP %{YEAR}/%{MONTHNUM}/%{MONTHDAY}#%{DBTIME}
which I've implemented in my grok statement like so:
\[%{DBTIMESTAMP:dbdatetime}\]\s*%{PROCESSID:processid}\s*%{DBTHREADID:threadid}\s*%{DBMSGTYPE:msgtype}\s*%{PROCESSTYPE:processtype}?\s*%{USERNUMBER:usernumber}?\s*:\s*[(]%{MSGNUMBER:msgnumber}[)].\s*%{GREEDYDATA:eventmessage}\s*\r
I then use the date filter to turn the dbdatetime into a #timestamp setting, and now the regex matches the incoming log stream which is what I want. Thx!
The devil is in the detail and the error is not apparent at first. The reason the Grok Debugger fails is because of your use of the DATE pattern. This pattern resolves like this:
DATE_US %{MONTHNUM}[/-]%{MONTHDAY}[/-]%{YEAR}
DATE_EU %{MONTHDAY}[./-]%{MONTHNUM}[./-]%{YEAR}
MONTHNUM and MONTHDAY are both 2 digit patterns, which in turn actually means they are matching the 15 in your year. This is the reason why the pattern does not work because \[%{DATE} is actually not matching (it is missing the 20). Why does the pattern .%{DATE} work tough? Because you are not matching the [ with the dot, your are matching the 0 of the year.
How to fix this? Use a custom pattern to match the date. Something like this works:
\[(?<date>%{YEAR}/%{MONTHNUM}/%{MONTHDAY})#%{TIME:time}-(?<gmtoffset>\d{4})\]\s*(?<procid>P-[0-9]+)\s*(?<threadid>T-[0-9]+)\s*(?<msgtype>[ifIF])\s*(?<processtype>[a-zA-Z]+)\s*(?<usernumber>[0-9]+|[:])\s*\((?<msgnum>[0-9]+|[\-]+)\)\s*%{GREEDYDATA:message}
This will return the following output:
{
"date": "2015/10/01",
"msgnum": "451",
"procid": "P-4780",
"processtype": "DBUTIL",
"message": "prostrct create session begin for timk519 on CON:.",
"threadid": "T-2208",
"usernumber": ":",
"gmtoffset": "0400",
"time": "19:48:22.785",
"msgtype": "I"
}
Some context:
I want to parse the following log statement using grok in logstash
07:51:45,729 TRACE [com.company.Class] (ajp-/1.2.3.4:8080-251) USERID called path: /url and took: 1000 ms
I am now using the following syntax to parse the complete message:
%{DATA:time}\s%{DATA:level}\s%{DATA:class}\s%{DATA:thread}\s%{DATA:userid}\s.*path:\s%{DATA:url}\s.*:\s%{NUMBER:duration:int}\sms
Which gives me all the properties that i have defined.
My question:
I want to parse this part (ajp-/1.2.3.4:8080-251) into a 'thread' property and an ip property.
The result needs to be:
thread: (ajp-/1.2.3.4:8080-251)
ip: 1.2.3.4
How can i do this?
Thanks
Just add a second grok filter after your working one. Do not put this in your existing grok filter because it will finish after the first match.
Example:
grok {
match => [ 'thread', '%{IP:ip}' ]
}
This obtains your previous field thread => "(ajp-/1.2.3.4:8080-251)" and adds a new field ip => "1.2.3.4"
Apart from that, I would recommend you to be more specific with your pattern. You used DATA everytime which is kind of imprecise. Start with something like this:
%{TIME:timestamp} %{WORD:method} \[%{JAVACLASS:class}\] \(%{DATA:thread}\) %{NUMBER:userid} %{DATA}%{URIPATH:uri}%{DATA}
I'm relatively new to ELK and grok. I'm trying to parse a log file that may contain 1 or more repetitions of the same value. For example the log file could contain:
value1;value2;value3;
value1;
value1;value2;value3;value4;........value900;
For this example, I'm using the following grok pattern:
((?[a-z0-9]*)[;])+
This appears to work properly, and parse each value. The problem is that the "tag" field only contains the last value (ie value900). All of the previous values seem to be overwritten.
Is there a way to gather all of the values and store them into an array instead of only getting the last value?
Simply use mutate:
mutate {
split => ["tag",";"]
}
This will split the value that's in the tag field into an array. So just match the whole string in your grok ((?<tag>[a-z0-9;]+) and then split it from there.