when using logstash I see an error like this one :
[2019-03-14T12:59:39,516][WARN ][logstash.codecs.plain ]
Received an event that has a different character encoding than you configured.
{
:text=>"08/02/2019 22:45:06 || : Service Reglement, ValiderReglementBilling:Echec de validation de r\\xE9glement dans NaviBilling. Transaction N\\xB0: 20194160773This message is for C/AL programmers: The call to member CreationFacture failed: Input string was not in a correct format..\\r",
:expected_charset=>"UTF-8"
}
I do not know what codec should be used for the correct format of events ?? The problem is in the subject field.
my logstash.conf is :
input {
file {
path => "D:\ELK\log\WCF-08-02-2019-7e8b53db-Error.log"
start_position => "beginning"
}
filter {
grok {
match => {
"message" => ["%{DATESTAMP:time} \|\| :%{DATA:Name_Service}:%{DATA:Action}: %{GREEDYDATA:Gravity}",
"%{DATESTAMP:time} \|\| :%{DATA:Name_Service},%{DATA:Action}: %{GREEDYDATA:Gravity}",
"%{DATESTAMP:time} \|\| :%{DATA:Name_Service}, %{DATA:Action}: %{GREEDYDATA:Gravity}"
]
}
}
}
output {
elasticsearch {
action => "index"
hosts => "http://localhost:9200"
index => "logstash-pfe2-%{+YYYY.MM.dd}"
}
}
Related
I'm trying to collect logs using Logstash where I have different kinds of logs in the same file.
I want to extract certain fields if they exist in the log, and otherwise do something else.
input{
file {
path => ["/home/ubuntu/XXX/XXX/results/**/log_file.txt"]
start_position => "beginning"
}
}
filter {
grok{
match => { "message" => ["%{WORD:logger} %{SPACE}\-%{SPACE} %{LOGLEVEL:level} %{SPACE}\-%{SPACE} %{DATA:message} %{NUMBER:score:float}",
"%{WORD:logger} %{SPACE}\-%{SPACE} %{LOGLEVEL:level} %{SPACE}\-%{SPACE} %{DATA:message}"]}
}
}
output{
elasticsearch {
hosts => ["X.X.X.X:9200"]
}
stdout { codec => rubydebug }
}
for example, log type 1 is:
root - INFO - Best score yet: 35.732
and type 2 is:
root - INFO - Starting an experiment
One of the problems I face is that when a message doesn't contain a number, the field still exists as null in the JSON created which prevents me from using desired functionalities in Kibana.
One option, is just to add a tag on logstash when field is not defined to be able to have a way to filter easily on kibana side. The null value is only set during the insertion in elasticsearch (on logstash side, the field is not defined)
This solution looks like this in you case :
filter {
grok{
match => { "message" => ["%{WORD:logger} %{SPACE}\-%{SPACE} %{LOGLEVEL:level} %{SPACE}\-%{SPACE} %{DATA:message} %{NUMBER:score:float}",
"%{WORD:logger} %{SPACE}\-%{SPACE} %{LOGLEVEL:level} %{SPACE}\-%{SPACE} %{DATA:message}"]}
}
if ![score] {
mutate { add_tag => [ "score_not_set" ] }
}
}
Data missed a lot in logstash version 5.0,
is it a serous bug ,when a config the config file so many times ,it useless,data lost happen again and agin, how to use logstash to collect log event property ?
any reply will thankness
Logstash is all about reading logs from specific location and based on you interested information you can create index in elastic search or other output also possible.
Example of logstash conf
input {
file {
# PLEASE SET APPROPRIATE PATH WHERE LOG FILE AVAILABLE
#type => "java"
type => "json-log"
path => "d:/vox/logs/logs/vox.json"
start_position => "beginning"
codec => json
}
}
filter {
if [type] == "json-log" {
grok {
match => { "message" => "UserName:%{JAVALOGMESSAGE:UserName} -DL_JobID:%{JAVALOGMESSAGE:DL_JobID} -DL_EntityID:%{JAVALOGMESSAGE:DL_EntityID} -BatchesPerJob:%{JAVALOGMESSAGE:BatchesPerJob} -RecordsInInputFile:%{JAVALOGMESSAGE:RecordsInInputFile} -TimeTakenToProcess:%{JAVALOGMESSAGE:TimeTakenToProcess} -DocsUpdatedInSOLR:%{JAVALOGMESSAGE:DocsUpdatedInSOLR} -Failed:%{JAVALOGMESSAGE:Failed} -RecordsSavedInDSE:%{JAVALOGMESSAGE:RecordsSavedInDSE} -FileLoadStartTime:%{JAVALOGMESSAGE:FileLoadStartTime} -FileLoadEndTime:%{JAVALOGMESSAGE:FileLoadEndTime}" }
add_field => ["STATS_TYPE", "FILE_LOADED"]
}
}
}
filter {
mutate {
# here converting data type
convert => { "FileLoadStartTime" => "integer" }
convert => { "RecordsInInputFile" => "integer" }
}
}
output {
elasticsearch {
# PLEASE CONFIGURE ES IP AND PORT WHERE LOG DOCs HAS TO PUSH
document_type => "json-log"
hosts => ["localhost:9200"]
# action => "index"
# host => "localhost"
index => "locallogstashdx_new"
# workers => 1
}
stdout { codec => rubydebug }
#stdout { debug => true }
}
To know more you can go throw many available websites like
https://www.elastic.co/guide/en/logstash/current/first-event.html
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 get logstash to parse key-value pairs in an HTTP get request from my ELB log files.
the request field looks like
http://aaa.bbb/get?a=1&b=2
I'd like there to be a field for a and b in the log line above, and I am having trouble figuring it out.
My logstash conf (formatted for clarity) is below which does not load any additional key fields. I assume that I need to split off the address portion of the URI, but have not figured that out.
input {
file {
path => "/home/ubuntu/logs/**/*.log"
type => "elb"
start_position => "beginning"
sincedb_path => "log_sincedb"
}
}
filter {
if [type] == "elb" {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601:timestamp}
%{NOTSPACE:loadbalancer} %{IP:client_ip}:%{NUMBER:client_port:int}
%{IP:backend_ip}:%{NUMBER:backend_port:int}
%{NUMBER:request_processing_time:float}
%{NUMBER:backend_processing_time:float}
%{NUMBER:response_processing_time:float}
%{NUMBER:elb_status_code:int}
%{NUMBER:backend_status_code:int}
%{NUMBER:received_bytes:int} %{NUMBER:sent_bytes:int}
%{QS:request}" ]
}
date {
match => [ "timestamp", "ISO8601" ]
}
kv {
field_split => "&?"
source => "request"
exclude_keys => ["callback"]
}
}
}
output {
elasticsearch { host => localhost }
}
kv will take a URL and split out the params. This config works:
input {
stdin { }
}
filter {
mutate {
add_field => { "request" => "http://aaa.bbb/get?a=1&b=2" }
}
kv {
field_split => "&?"
source => "request"
}
}
output {
stdout {
codec => rubydebug
}
}
stdout shows:
{
"request" => "http://aaa.bbb/get?a=1&b=2",
"a" => "1",
"b" => "2"
}
That said, I would encourage you to create your own versions of the default URI patterns so that they set fields. You can then pass the querystring field off to kv. It's cleaner that way.
UPDATE:
For "make your own patterns", I meant to take the existing ones and modify them as needed. In logstash 1.4, installing them was as easy as putting them in a new file the 'patterns' directory; I don't know about patterns for >1.4 yet.
MY_URIPATHPARAM %{URIPATH}(?:%{URIPARAM:myuriparams})?
MY_URI %{URIPROTO}://(?:%{USER}(?::[^#]*)?#)?(?:%{URIHOST})?(?:%{MY_URIPATHPARAM})?
Then you could use MY_URI in your grok{} pattern and it would create a field called myuriparams that you could feed to kv{}.
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"]
}