Below is my scenario:
Unable to get Request-ID "9bb0c7bcf81425fd6773" parsed into field Request-ID?
Sample message:
05/11/2016 10:55:43.167|INFO|com.abc.requestidgenerator.Tester$.main(UniqueIDGenerator.scala:95)|9bb0c7bcf81425fd6773|This is Debug Message
Grok pattern:
match => { "message" => "%{DATESTAMP:Date-Time}\|%{LOGLEVEL:Level}%{SPACE}\|%{NOTSPACE:Method}\|%{USERNAME:Request-ID}"}
Grokpattern output
{
"#timestamp" => "2016-05-12T11:44:55.100Z",
"message" => "05/11/2016 10:55:43.167|INFO |com.abc.requestidgenerator.Tester$.main(UniqueIDGenerator.scala:95)|9bb0c7bcf81425fd6773|This is Debug Message...",
"Date-Time" => "05/11/2016 10:55:43.167",
"Level" => "INFO",
"Method" => "com.abc.requestidgenerator.Tester$.main(UniqueIDGenerator.scala:95)|9bb0c7bcf81425fd6773",
"Request-ID" => "This",
"ALCH_TENANT_ID" => "da5109ef-c1c0-499b-86ee-a8fd55203bb6"
}
Instead of using NOTSPACE use DATA. NOTSPACE is trying to capture everything up to a space, but there are no spaces until your message. DATA will lazy capture as few newline characters as possible without breaking the regex.
...\|%{DATA:Method}\|...
Related
I'm parsing multiple log files with logstash - and want to add fields based on the path of the files to my output. Here are the relevant parts of the config file:
input {
file {
path => "/mnt/logs/**/console-20200108*.log"
type => "tomcat"
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter {
if [type] == "tomcat" {
grok {
patterns_dir => "/usr/share/logstash/patterns"
match => {
"message" => [ "%{TOMCAT_LOG_1}", "%{TOMCAT_LOG_2}" ]
"path" => "\/mnt\/logs\/%{DATA:site}\/%{DATA:version}\/node%{NUMBER:node}\/store\/tomcat\/%{DATA:file}\.log"
}
}
}
}
Here's a sample output:
{
"level" => "INFO",
"type" => "tomcat",
"data" => "Finished indexer cronjob.\r",
"timestamp" => "08-Jan-2020 11:00:05.860",
"qualifier1" => "[update-backofficeIndex-CronJob::ServicelayerJob]",
"#timestamp" => 2020-01-08T11:04:47.364Z,
"path" => "/mnt/logs/protec/qa/node1/store/tomcat/console-20200108.log",
"qualifier3" => "[SolrIndexerJob]",
"host" => "elk",
"#version" => "1",
"message" => "INFO | jvm 1 | srvmain | 08-Jan-2020 11:00:05.860 INFO [update-backofficeIndex-CronJob::ServicelayerJob] (update-backofficeIndex-CronJob) [SolrIndexerJob] Finished indexer cronjob.\r",
"qualifier2" => "(update-backofficeIndex-CronJob)"
}
Based on this, I was expecting to get relevant fields from parsing the message and a few more fields from parsing the path. Yet, I none of the fields from "path" parsing are added.
What am I missing? How do I add site, version, node and file fields?
Creating an answer from a comment that solved the problem (hence community wiki).
Apparently it might be coming from the break_on_match option, which defaults to true. From the doc:
The first successful match by grok will result in the filter being finished. So if %{TOMCAT_LOG_1} or %{TOMCAT_LOG_2} match, it won't try to match the path field
i am new to ELK. when i onboarded the below log file, it is going to "dead letter queue" in logstash because logstash couldn't able to process the events.I have written the GROK filter to parse the events but logstash still couldn't not process the events. Any help would be appreciated.
Below is the sample log format.
25193662345 [http-nio-8080-exec-44] DEBUG c.s.b.a.m.PerformanceMetricsFilter - method=PUT status=201 appLogicTime=1, streamInTime=0, blobStorageTime=31, totalTime=33 tenantId=b9sdfs-1033-4444-aba5-csdfsdfsf, immutableBlobId=bss_c_586331/Sample_app12-sdas-157123148464.txt, blobSize=2862, domain=abc
2519366789 [http-nio-8080-exec-47] DEBUG q.s.b.y.m.PerformanceMetricsFilter - method=PUT status=201 appLogicTime=1, streamInTime=0, blobStorageTime=32, totalTime=33 tenantId=b0csdfsd-1066-4444-adf4-ce7bsdfssdf, immutableBlobId=bss_c_586334/Sample_app15-615223-157sadas6648465.txt, blobSize=2862, domain=cde
GROK filter:
dissect { mapping => { "message" => "%{NUMBER:number} [%{thread}] %{level} %{class} - %{[#metadata][msg]}" } }
kv { source => "[#metadata][msg]" field_split => "," }
Thanks
You have basically two problems in your configuration.
1.) You are using the dissect filter, not grok, both are used to parse messages, but grok uses regular expressions to validate the value of the field and dissect is just positional, it does not perform any validation, if you have a WORD value in the position of a field that expects a NUMBER, grok will fail, but dissect will not.
If your log lines always have the same pattern, you should continue to use dissect since it is faster and needs less cpu.
Your correct dissect mapping should be:
dissect {
mapping => { "message" => "%{number} [%{thread}] %{level} %{class} - %{[#metadata][msg]}" }
}
2.) The field that contains the kv message is wrong, it has fields separated by space and by comma, kv won't work this way.
After your dissect filter this is the content of [#metadata][msg].
method=PUT status=201 appLogicTime=1, streamInTime=0, blobStorageTime=32, totalTime=33 tenantId=b0csdfsd-1066-4444-adf4-ce7bsdfssdf, immutableBlobId=bss_c_586334/Sample_app15-615223-157sadas6648465.txt, blobSize=2862, domain=cde
To solve this you should use a mutate filter to remove the comma from the [#metadata][msg] and use the kv filter with the default configurations.
This should be your filter configuration
filter {
dissect {
mapping => { "message" => "%{number} [%{thread}] %{level} %{class} - %{[#metadata][msg]}" }
}
mutate {
gsub => ["[#metadata][msg]",",",""]
}
kv {
source => "[#metadata][msg]"
}
}
Your output should be something like this:
{
"number" => "2519366789",
"#timestamp" => 2019-11-03T16:42:11.708Z,
"thread" => "http-nio-8080-exec-47",
"appLogicTime" => "1",
"domain" => "cde",
"method" => "PUT",
"level" => "DEBUG",
"blobSize" => "2862",
"#version" => "1",
"immutableBlobId" => "bss_c_586334/Sample_app15-615223-157sadas6648465.txt",
"streamInTime" => "0",
"status" => "201",
"blobStorageTime" => "32",
"message" => "2519366789 [http-nio-8080-exec-47] DEBUG q.s.b.y.m.PerformanceMetricsFilter - method=PUT status=201 appLogicTime=1, streamInTime=0, blobStorageTime=32, totalTime=33 tenantId=b0csdfsd-1066-4444-adf4-ce7bsdfssdf, immutableBlobId=bss_c_586334/Sample_app15-615223-157sadas6648465.txt, blobSize=2862, domain=cde",
"totalTime" => "33",
"tenantId" => "b0csdfsd-1066-4444-adf4-ce7bsdfssdf",
"class" => "q.s.b.y.m.PerformanceMetricsFilter"
}
I am pretty new to logstash and I have been trying to convert an existing log into a csv format using the logstash-output-csv plugin.
My input log string looks as follows which is a custom log written in our application.
'128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)'
I wrote a quick regex and added it to the patterns_dir using the grok plugin.
My pattern is as follows :
IP_ADDRESS [0-9,.]+
CPU [0-9]
NSFW \S+
NUMBER [0-9]
DATE [0-9,/]+\s+[0-9]+[:]+[0-9]+[:]+[0-9,.]+
TIME \S+
COMPONENT_ID \S+
LOG_MESSAGE .+
without adding any csv filters I was able to get this output.
{
"message" => "128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)",
"#version" => "1",
"#timestamp" => "2015-08-18T21:06:56.05Z",
"host" => "hostname",
"path" => "/usr/phd/raveesh/sample.log_20150819000609",
"tags" => [
[0] "_grokparsefailure"
]
}
This is my configuration in order to get the csv as an output
input {
file {
path => "/usr/phd/raveesh/temporary.log_20150819000609"
start_position => beginning
}
}
filter {
grok {
patterns_dir => "./patterns"
match =>["message", "%{IP_ADDRESS:ipaddress}/%{CPU:cpu}/%{NSFW:nsfw}<%{NUMBER:number}>%{DATE}:%{SPACE:space}%{COMPONENT_ID:componentId}%{SPACE:space}%{LOG_MESSAGE:logmessage}" ]
break_on_match => false
}
csv {
add_field =>{"ipaddress" => "%{ipaddress}" }
}
}
output {
# Print each event to stdout.
csv {
fields => ["ipaddress"]
path => "./logs/firmwareEvents.log"
}
stdout {
# Enabling 'rubydebug' codec on the stdout output will make logstash
# pretty-print the entire event as something similar to a JSON representation.
codec => rubydebug
}
}
The above configuration does not seem to give the output. I am trying only to print the ipaddress in a csv file but finally I need to print all the captured patterns in a csv file. so I need the output as follows :
128.111.111.111,cpu0,nsfw, ....
Could you please let me know the changes i need to make. ?
Thanks in advance
EDIT:
I fixed the regex as suggested using the tool http://grokconstructor.appspot.com/do/match#result
Now my regex filter looks as follows :
%{IP:client}\/%{WORD:cpu}\/%{NOTSPACE:nsfw}<%{NUMBER:number}>%{YEAR:year}\/%{MONTHNUM:month}\/%{MONTHDAY:day}%{SPACE:space}%{TIME:time}:%{SPACE:space2}%{NOTSPACE:comp}%{SPACE:space3}%{GREEDYDATA:messagetext}
How do I capture the individual splits and save it as a csv ?
Thanks
EDIT:
I finally resolved this using the File plugin .
output {
file{
path => "./logs/sample.log"
message_pattern =>"%{client},%{number}"
}
}
The csv tag in the filter section is for parsing the input and exploding the message to key/value pairs.
In your case you are already parsing the input with the grok, so I bet you don't need the csv filter.
But in the output we can see there is a gorkfailure
{
"message" => "128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)",
"#version" => "1",
"#timestamp" => "2015-08-18T21:06:56.05Z",
"host" => "hostname",
"path" => "/usr/phd/raveesh/sample.log_20150819000609",
"tags" => [
[0] "****_grokparsefailure****"
]
}
That means your grok expression cannot parse the input.
You should fix the expression according to your input and then the csv will output properly.
Checkout http://grokconstructor.appspot.com/do/match for some help
BTW, are you sure the patterns NSFW, CPU, COMPONENT_ID, ... are defined somewhere ?
HIH
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"]
}
I am shipping Glassfish 4 logfiles with Logstash to an ElasticSearch sink. How can I remove with Logstash the trailing newline from a message field?
My event looks like this:
{
"#timestamp" => "2013-11-21T13:29:33.081Z",
"message" => "[2013-11-21T13:29:32.577+0000] [glassfish 4.0] [INFO] [] [javax.resourceadapter.mqjmsra.lifecycle] [tid: _ThreadID=142 _ThreadName=Thread-43] [timeMillis: 1385040572577] [levelValue: 800] [[\n MQJMSRA_RA1101: GlassFish MQ JMS Resource Adapter stopped.]]\n",
"#version" => "1",
"tags" => ["multiline", "date_filtered"],
"host" => "myhost",
"path" => "../server.log"
}
A second solution is using the mutate filter of Logstash. It allows you to strip the value of a field.
filter {
# Remove leading and trailing whitspaces (including newline etc. etc.)
mutate {
strip => "message"
}
}
You have to use the multiline filter with the correct pattern, to tell logstash, that every line with precending whitespace belongs to the line before. Add this lines to your conf file.
filter{
...
multiline {
type => "gflogs"
pattern => "\[\#\|\d{4}"
negate => true
what => "previous"
}
...
}
You can also include grok plugin to handle timestamp and filter irregular lines from beeing indexed.
See complete stack with single logstash instance on same machine
input {
stdin {
type => "stdin-type"
}
file {
path => "/path/to/glassfish/logs/*.log"
type => "gflogs"
}
}
filter{
multiline {
type => "gflogs"
pattern => "\[\#\|\d{4}"
negate => true
what => "previous"
}
grok {
type => "gflogs"
pattern => "(?m)\[\#\|%{TIMESTAMP_ISO8601:timestamp}\|%{LOGLEVEL:loglevel}\|%{DATA:server_version}\|%{JAVACLASS:category}\|%{DATA:kv}\|%{DATA:message}\|\#\]"
named_captures_only => true
singles => true
}
date {
type => "gflogs"
match => [ "timestamp", "ISO8601" ]
}
kv {
type => "gflogs"
exclude_tags => "_grokparsefailure"
source => "kv"
field_split => ";"
value_split => "="
}
}
output {
stdout { codec => rubydebug }
elasticsearch { embedded => true }
}
This worked for me. Pleas look also this post on logstash-usergroup. I can also advice the great and up to date logstash book. Its also a good way to support the work of the logstash author.
Hope to see you on any JUG-Berlin Event!