1st| 2nd|3rd |4th |5th |6th |7th |8th |2012.07.12 05:31:04 |10th |ProductDir: C:\samplefiles\test\storage\4.0 (LF)
C:\samplefiles\test\storage\5.0 (LF)
SampleDir: (LF)
Note: LF -> Line Feed is getting appended
I have tried the following options.. Nothing seems to be working
match => [ "message", "(?m)....
(?<message>(.|\r|\n)*)
Greedydata is also not working as its not considering new line.
mutate {gsub => ["message", "\n", "LINE_BREAK"] }
codec => multiline { pattern => "^\s" negate => true what => previous }
(?m)%{GREEDYDATA} will match any multiline log including yours.
Please test it here
The below one worked for me.
codec => multiline{
pattern => "^\s*\d{1,}\|"
negate => "true"
what => "previous"
}
Related
I am parsing logs from many daemons of UTM solution.
Grok and kv config looks like:
grok {
match => [ "message", "%{SYSLOGPROG} %{NOTSPACE:syslog_hostname} %{DATA:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{GREEDYDATA:syslog_message}" ]
}
kv {
id => "syslogkv"
source => "syslog_message"
trim_key => " "
trim_value => " "
value_split => "="
field_split => " "
}
Usually events looks like
<30>2019:04:23-20:13:38 hostname ulogd[5354]: id="2001" severity="info" sys="SecureNet" sub="packetfilter" name="Packet dropped" action="drop" fwrule="60002" initf="eth3.5" outitf="eth5" srcmac="c8:9c:1d:af:68:7f" dstmac="00:1a:8c:f0:f5:23" srcip="x.x.x.x" dstip="y.y.y.y" proto="17" length="56" tos="0x00" prec="0x00" ttl="63" srcport="5892" dstport="53"
and parsed without any problem
But when some daemons generates events looking like (WAF in example)
<139>2019:04:23-16:21:38 hostname httpd[1475]: [security2:error] [pid 1475:tid 3743300464] [client x.x.x.x] ModSecurity: Warning. Pattern match "([\\\\~\\\\!\\\\#\\\\#\\\\$\\\\%\\\\^\\\\&\\\\*\\\\(\\\\)\\\\-\\\\+\\\\=\\\\{\\\\}\\\\[\\\\]\\\\|\\\\:\\\\;\\"\\\\'\\\\\\xc2\\xb4\\\\\\xe2\\x80\\x99\\\\\\xe2\\x80\\x98\\\\`\\\\<\\\\>].*?){8,}"
my output breaks and logstash stops processing any logs.
How can i exclude kv parsing events by regexp or any pattern?
In simple words - do not use kv if first words in syslog_message begins with "[" or any other regexp.
Wrap your kv filter in a conditional on the field:
if [syslog_message] !~ /^\[/ {
kv { }
}
I've had a look on the other questions surrounding this problem but it doesn't seem to help.
I'm having to change an input of "i phone" or "i Phone" to query "iPhone" in Elasticsearch.
As you can see, I have tried most everything I can think of, including simply "phone => iPhone" and leaving the "i" in there to hang around and possibly add it to the stopwords.
I've tried using "simple", "keyword", "standard" and "whitespace" for my custom analyzer.
Can anyone spot where I've gone wrong, this is the last problem before I can finish my project so it'd be appreciated. Thanks
P.S. Bonus points if you include how I can do auto suggest on inputs, thanks
Below is my code
public static CreateIndexDescriptor GetMasterProductDescriptor(string indexName = "shopmaster")
{
var indexDescriptor = new CreateIndexDescriptor(indexName)
.Settings(s => s
.Analysis(a => a
.TokenFilters(t => t
.Stop("my_stop", st => st
.StopWords("_english_", "new", "cheap")
.RemoveTrailing()
)
.Synonym("my_synonym", st => st
.Synonyms(
"phone => iPhone"
//"i phone => iPhone",
//"i Phone => iPhone"
)
)
.Snowball("my_snowball", st => st
.Language(SnowballLanguage.English)
)
)
.Analyzers(an => an
.Custom("my_analyzer", ca => ca
.Tokenizer("simple")
.Filters(
"lowercase",
"my_stop",
"my_snowball",
"my_synonym"
)
)
)
)
)
.Mappings(
ms => ms.Map<MasterProduct>(
m => m.AutoMap()
.Properties(
ps => ps
.Nested<MasterProductAttributes>(p => p.Name(n => n.MasterAttributes))
.Nested<MasterProductAttributes>(p => p.Name(n => n.ProductAttributes))
.Nested<MasterProductAttributeType>(p => p.Name(n => n.MasterAttributeTypes))
.Nested<Feature>(p => p.Name(n => n.Features))
.Nested<RelatedProduct>(p => p.Name(n => n.RelatedProducts))
.Nested<MasterProductItem>(
p => p.Name(
n => n.Products
)
.Properties(prop => prop.Boolean(
b => b.Name(n => n.InStock)
))
)
.Boolean(b => b.Name(n => n.InStock))
.Number(t => t.Name(n => n.UnitsSold).Type(NumberType.Integer))
.Text(
tx => tx.Name(e => e.ManufacturerName)
.Fields(fs => fs.Keyword(ss => ss.Name("manufacturer"))
.TokenCount(t => t.Name("MasterProductId")
.Analyzer("my_analyzer")
)
)
.Fielddata())
//.Completion(cm=>cm.Analyzer("my_analyser")
)
)
);
return indexDescriptor;
}
The order of your filters matters!
You are applying lowercase, then a stemmer (snowball) then synonyms. You synonyms contain capital letters, but by the time they are applied, lowercasing has already occurred. It's a good idea to apply lowercasing first, to make sure case doesn't affect matching of the synonyms, but your replacements, in the that case, shouldn't have caps.
Stemmers should not be applied before synonyms (unless you know what you are doing, and are comparing post-stemming terms). Snowball, I believe, will transform 'iphone' to 'iphon', so this is another area where you are running into trouble.
"lowercase",
"my_synonym",
"my_stop",
"my_snowball",
(And don't forget to remove the caps from your synonyms)
I want to parse the below mentioned line from log file.
03:34:19,491 INFO [:sm-secondary-17]: DBBackup:106 - The max_allowed_packet value defined in [16M] does not match the value from /etc/mysql/my.cnf [24M]. The value will be used.
After parse, the output must be :
Time : 03:34:19
LogType : INOF
Message : [:sm-secondary-17]: DBBackup:106 - The max_allowed_packet value defined in [16M] does not match the value from /etc/mysql/my.cnf [24M]. The value will be used.
Ignore : ,491 (comma and 3 digit number).
Grok filter config should be like this for parsing the mentioned log.
...
filter {
grok {
match => {"message" => "%{TIME:Time},%{NUMBER:ms} %{WORD:LogType} %{GREEDYDATA:Message}"}
remove_field => [ "ms" ]
}
}
...
Receiving a parsing failure with my grok match. I can't seem to find anything that will match my log.
Here is my log:
2016-06-14 14:03:42 1.1.1.1 GET /origin-www.site.com/ScriptResource.axd?d= jEHA4v5Z26oA-nbsKDVsBINPydW0esbNCScJdD-RX5iFGr6qqeyJ69OnKDoJgTsDcnI1&t=5f9d5645 200 26222 0 "http://site/ layouts/CategoryPage.aspx?dsNav=N:10014" "Mozilla/5.0 (Linux; Android 4.4.4; SM-G318HZ Build/KTU84P) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.95 Mobile Safari/537.36" "cookie"
Here is my grok match. It works fine in the grok debugger.
filter {
grok {
match => { 'message' => '%{DATE:date} %{TIME:time} %{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER:status} %{NUMBER:bytes} %{NUMBER:time_taken} %{QUOTEDSTRING:referrer} %{QUOTEDSTRING:user_agent} %{QUOTEDSTRING:cookie}' }
}
}
EDIT: I decided to do a screenshot of what my log file looks like as the spaces dont come over when copying and pasting. Those appear to be single spaces when I copy/paste.
Beside the space in that logline you posted, which I assume won't exist in your logs, your pattern is incorrect on the date parsing. Logstash DATE follows this pattern:
DATE_US %{MONTHNUM}[/-]%{MONTHDAY}[/-]%{YEAR}
DATE_EU %{MONTHDAY}[./-]%{MONTHNUM}[./-]%{YEAR}
DATE %{DATE_US}|%{DATE_EU}
Which doesn't match your YYYY-MM-dd format. I recommend using a pattern file and defining a custom date format
CUST_DATE %{YEAR}-%{MONTHNUM2}-%{MONTHDAY}
then your pattern can be
%{CUST_DATE:date} %{TIME:time} %{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER:status} %{NUMBER:bytes} %{NUMBER:time_taken} %{QUOTEDSTRING:referrer} %{QUOTEDSTRING:user_agent} %{QUOTEDSTRING:cookie}
EDIT:
You may be able to handle weird whitespace with a gsub, this won't remove whitespace, but will normalize spaces to all be 1 " "
mutate {
gsub => [
# replace all whitespace characters or multiple adjacent whitespace characters with one space
"message", "\s+", " "
]
}
I am using Logstash to read some log file.
Here are some data sources records
<2016-07-07 00:31:01> Start
<2016-07-07 00:31:59> Warning - Export_Sysem 6 (1) => No records to be exported
<2016-07-07 00:32:22> Export2CICAP (04) => Export PO : 34 record(s)
<2016-07-07 00:32:22> Export2CICAP (04) => Export CO : 87 record(s)
<2016-07-07 00:32:22> Export2CICAP (04) => Export FC
This is my conf file
grok{
match => {"message" => [
'<%{TIMESTAMP_ISO8601:Timestamp}> (%{WORD:Level} - )%{NOTSPACE:Job_Code} => %{GREEDYDATA:message}',
'<%{TIMESTAMP_ISO8601:Timestamp}> %{WORD:Parameter} - %{GREEDYDATA:Message}',
'<%{TIMESTAMP_ISO8601:Timestamp}> %{WORD:Status}',
]}
}
This is part of my output
{
"message" => "??2016-07-07 00:31:01> Start\r?",
"#version" => "1",
"#timestamp" => "2016-07-08T03:22:01.076Z",
"path" => "C:/CIGNA/Export.log",
"host" => "SIMSPad",
"type" => "txt",
"tags" => [
[0] "_grokparsefailure"
]
}
{
"message" => "<2016-07-07 00:31:59> Warning - Export_Sysem 6 (1) => No records to be exported\r?",
"#version" => "1",
"#timestamp" => "2016-07-06T16:31:59.000Z",
"path" => "C:/CIGNA/Export.log",
"host" => "SIMSPad",
"type" => "txt",
"Timestamp" => "2016-07-07 00:31:59",
"Parameter" => "Warning",
"Message" => "Export_Sysem 6 (1) => No records to be exported\r?"
}
{
"message" => "<2016-07-07 00:32:22> Export2CICAP (04) => Export CO : 87 record(s)\r?",
"#version" => "1",
"#timestamp" => "2016-07-06T16:32:22.000Z",
"path" => "C:/CIGNA/Export.log",
"host" => "SIMSPad",
"type" => "txt",
"Timestamp" => "2016-07-07 00:32:22",
"Status" => "Export2CICAP"
}
As seen from the output, the first output message has a grok parsing error and the other 2 outcomes did not fully parse the message. How should I modify my grok statement so it can fully parse the message?
For the first message, the problem comes from the two ?? that do no appear in the pattern, thus creating the _grokparsefailure.
The second and third message are not fully parsed because the first two pattern do not match the messages and so the message are parsed by the last pattern.
For the second message, if you wish to parse it with the first pattern (<%{TIMESTAMP_ISO8601:Timestamp}> (%{WORD:Level} - )%{NOTSPACE:Job_Code} => %{GREEDYDATA:message}), your pattern is false:
() around %{WORD:Level} - that do not appear in the log.
There is a space missing between :Timestamp}> and %{WORD:Level}. In the log there is two and only one in the pattern. Note that you can use %{SPACE} to avoid this problem (since %{SPACE} will match any number of space)
The %{NOTSPACE:Job_Code} match a sequence of character without any space, but there is a space in Export_Sysem 6 (1), so the Job_Code will be Export_Sysem and the => in the pattern will prevent successful matching with the first pattern.
Correct pattern :
<%{TIMESTAMP_ISO8601:Timestamp}> %{WORD:Level} - %{DATA:Job_Code} => %{GREEDYDATA:message}
For the third message, I don't see which pattern should be used.
If you add more details, I'll update my answer.
For reference: grok pattern definitions