Let's say I have this kind of log :
Jun 2 00:00:00 192.168.14.4 date=2016-06-01 time=23:56:05
devname=POPB-FW-01 devid=FG1K2D3I14800220 logid=1059028704 type=utm
subtype=app-ctrl eventtype=app-ctrl-all level=information vd="root"
appid=40568 user="" srcip=10.20.4.35 srcport=52438
srcintf="VRF-PUBLIC" dstip=125.209.230.238 dstport=443 dstintf="OUT"
proto=6 service="HTTPS" sessionid=424666004 applist="Monitor-all"
appcat="Web.Others" app="HTTPS.BROWSER" action=pass
hostname="lcs.naver.com" url="/" msg="Web.Others: HTTPS.BROWSER,"
apprisk=medium
So with this code below, I can regex the timestamp and the ip in future elastic fields :
filter {
grok {
match => {"message" => "%{SYSLOGTIMESTAMP:timestamp} %{client}" }
}
}
Now, how do I automatically get fields for the rest of the log ? Is there a simple way to say :
The thing before the "=" is the field name and the thing after is the value.
So I can obtain a JSON for elastic index with many fields for each log line :
{
"path" => "C:/Users/yoyo/Documents/yuyu/temp.txt",
"#timestamp" => 2017-11-29T10:50:18.947Z,
"#version" => "1",
"client" => "192.168.14.4",
"timestamp" => "Jun 2 00:00:00",
"date" => "2016-06-01",
"time" => "23:56:05",
"devname" => "POPB-FW-01 ",
"devid" => "FG1K2D3I14800220",
etc,...
}
Thanks in advance
Okay, I am really dumb
It was easy, rather than search on google, how to match equals, I just had to search key value matching with logstash.
So I just have to write :
filter {
kv {
}
}
And it's done !
Sorry
Related
I am trying the ELK stack, and so far so good :)
I have run in to strange situation regardgin the parsing the date field and sending it to ElasticSearch. I manage to parse the field, and it really gets created in the ElasticSearch, but it always end up as string.
I have tried many different combinations. Also I have tried many different things that people suggested, but still I fail.
This is my setup:
The strings that comes from Filebeat:
[2017-04-26 09:40:33] security.DEBUG: Stored the security token in the session. {"key":"securitysecured_area"} []
[2017-04-26 09:50:42] request.INFO: Matched route "home_logged_in". {"route_parameters":{"controller":"AppBundle\Controller\HomeLoggedInController::showAction","locale":"de","route":"homelogged_in"},"request_uri":"https://qa.someserver.de/de/home"} []
The logstash parsing section:
if [#metadata][type] == "feprod" or [#metadata][type] == "feqa"{
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:logdate}" }
}
date {
#timezone => "Europe/Berlin"
match => [ "logdate", "yyyy-MM-dd HH:mm:ss"]
}
}
According to the documentation, my #timestamp field should be overwritten with the logdate value. But it is no happening.
In the ElasticSearch I can see the field logdate is being created and it has value of 2017-04-26 09:40:33, but its type is string.
I always create index from zero, I delete it first and let the logstash populate it.
I need either #timestamp overwritten with the actual date (not the date when it was indexed), or that logdate field is created with date type. Both is good
Unless you are explicitly adding [#metadata][type] somewhere that you aren't showing, that is your problem. It's not set by default, [type] is set by default from the 'type =>' parameter on your input.
You can validate this with a minimal complete example:
input {
stdin {
type=>'feprod'
}
}
filter {
if [#metadata][type] == "feprod" or [#metadata][type] == "feqa"{
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:logdate}" }
}
date {
match => [ "logdate", "yyyy-MM-dd HH:mm:ss"]
}
}
}
output {
stdout { codec => "rubydebug" }
}
And running it:
echo '[2017-04-26 09:40:33] security.DEBUG: Stored the security token in the session. {"key":"securitysecured_area"} []' | bin/logstash -f test.conf
And getting the output:
{
"#timestamp" => 2017-05-02T15:15:05.875Z,
"#version" => "1",
"host" => "xxxxxxxxx",
"message" => "[2017-04-26 09:40:33] security.DEBUG: Stored the security token in the session. {\"key\":\"securitysecured_area\"} []",
"type" => "feprod",
"tags" => []
}
if you use just if [type] ==... it will work fine.
{
"#timestamp" => 2017-04-26T14:40:33.000Z,
"logdate" => "2017-04-26 09:40:33",
"#version" => "1",
"host" => "xxxxxxxxx",
"message" => "[2017-04-26 09:40:33] security.DEBUG: Stored the security token in the session. {\"key\":\"securitysecured_area\"} []",
"type" => "feprod",
"tags" => []
}
I have ELK running for log analysis. I have everything working. There are just a few tweaks I would like to make. To all the ES/ELK Gods in stackoverflow, I'd appreciate any help on this. I'd gladly buy you a cup of coffee! :D
Example:
URL: /origina-www.domain.com/this/is/a/path?page=2
First I would like to get the entire path as seen above.
Second, I would like to get just the path before the parameter: /origina-www.domain.com/this/is/a/path
Third, I would like to get just the parameter: ?page=2
Fourth, I would like to make the timestamp on the logfile be the main time stamp on kibana. Currently, the timestamp kibana is showing is the date and time the ES was processed.
This is what a sample entry looks like:
2016-10-19 23:57:32 192.168.0.1 GET /origin-www.example.com/url 200 1144 0 "-" "Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)" "-" "-"
Here's my config:
if [type] == "syslog" {
grok {
match => ["message", "%{IP:client}\s+%{WORD:method}\s+%{URIPATHPARAM:request}\s+%{NUMBER:bytes}\s+%{NUMBER:duration}\s+%{USER-AGENT}\s+%{QS:referrer}\s+%{QS:agent}%{GREEDYDATA}"]
}
date {
match => [ "timestamp", "MMM dd, yyyy HH:mm:ss a" ]
locale => "en"
}
}
ES Version: 5.0.1
Logstash Version: 5.0
Kibana: 5.0
UPDATE: I was actually able to solve it by using:
grok {
match => ["message", "%{IP:client}\s+%{WORD:method}\s+%{URIPATHPARAM:request}\s+%{NUMBER:bytes}\s+%{NUMBER:duration}\s+%{USER-AGENT}\s+%{QS:referrer}\s+%{QS:agent}%{GREEDYDATA}"]
}
grok {
match => [ "request", "%{GREEDYDATA:uri_path}\?%{GREEDYDATA:uri_query}" ]
}
kv {
source => "uri_query"
field_split => "&"
target => "query"
}
In order to use the actual timestamp of your log entry rather than the indexed time, you could use the date and mutate plugins as such to override the existing timestamp value. You could have your logstash filter look, something like this:
//filtering your log file
grok {
patterns_dir => ["/pathto/patterns"] <--- you could have a pattern file with such expression LOGTIMESTAMP %{YEAR}%{MONTHNUM}%{MONTHDAY} %{TIME} if you have to change the timestamp format.
match => { "message" => "^%{LOGTIMESTAMP:logtimestamp}%{GREEDYDATA}" }
}
//overriding the existing timestamp with the new field logtimestamp
mutate {
add_field => { "timestamp" => "%{logtimestamp}" }
remove_field => ["logtimestamp"]
}
//inserting the timestamp as UTC
date {
match => [ "timestamp" , "ISO8601" , "yyyyMMdd HH:mm:ss.SSS" ]
target => "timestamp"
locale => "en"
timezone => "UTC"
}
You could follow up Question for more as well. Hope it helps.
grok {
match => ["message", "%{IP:client}\s+%{WORD:method}\s+%{URIPATHPARAM:request}\s+%{NUMBER:bytes}\s+%{NUMBER:duration}\s+%{USER-AGENT}\s+%{QS:referrer}\s+%{QS:agent}%{GREEDYDATA}"]
}
grok {
match => [ "request", "%{GREEDYDATA:uri_path}\?%{GREEDYDATA:uri_query}" ]
}
kv {
source => "uri_query"
field_split => "&"
target => "query"
}
I am collecting and parsing Tomcat access-log messages using Logstash, and am storing the parsed messages in Elasticsearch.
I am using Kibana to display the log messges in Elasticsearch.
Currently I am using Elasticsearch 2.0.0, Logstash 2.0.0, and Kibana 4.2.1.
An access-log line looks something like the following:
02-08-2016 19:49:30.669 ip=11.22.333.444 status=200 tenant=908663983 user=0a4ac75477ed42cfb37dbc4e3f51b4d2 correlationId=RID-54082b02-4955-4ce9-866a-a92058297d81 request="GET /pwa/rest/908663983/rms/SampleDataDeployment HTTP/1.1" userType=Apache-HttpClient requestInfo=- duration=4 bytes=2548 thread=http-nio-8080-exec-5 service=rms itemType=SampleDataDeployment itemOperation=READ dataLayer=MongoDB incomingItemCnt=0 outgoingItemCnt=7
The time displayed in the log file (ex. 02-08-2016 19:49:30.669) is in local time (not UTC!)
Here is how I parse the message line:
filter {
grok {
match => { "message" => "%{DATESTAMP:logTimestamp}\s+" }
}
kv {}
mutate {
convert => { "duration" => "integer" }
convert => { "bytes" => "integer" }
convert => { "status" => "integer" }
convert => { "incomingItemCnt" => "integer" }
convert => { "outgoingItemCnt" => "integer" }
gsub => [ "message", "\r", "" ]
}
grok {
match => { "request" => [ "(?:%{WORD:method} %{NOTSPACE:request}(?: HTTP/%{NUMBER:httpVersion})?)" ] }
overwrite => [ "request" ]
}
}
I would like Logstash to convert the time read from the log message ('logTimestamp' field) into UTC before storing it in Elasticsearch.
Can someone assist me with that please?
--
I have added the date filter to my processing, but I had to add a timezone.
filter {
grok {
match => { "message" => "%{DATESTAMP:logTimestamp}\s+" }
}
date {
match => [ "logTimestamp" , "mm-dd-yyyy HH:mm:ss.SSS" ]
timezone => "Asia/Jerusalem"
target => "logTimestamp"
}
...
}
Is there a way to convert the date to UTC without supplying the local timezone, such that Logstash takes the timezone of the machine it is running on?
The motivation behind this question is I would like to use the same configuration file in all my deployments, in various timezones.
That's what the date{} filter is for - to parse a string field containing a date string replace the [#timestamp] field with that value in UTC.
This can also be done in an ingest processor as follows:
PUT _ingest/pipeline/chage_local_time_to_iso
{
"processors": [
{
"date" : {
"field" : "my_time",
"target_field": "my_time",
"formats" : ["dd/MM/yyyy HH:mm:ss"],
"timezone" : "Europe/Madrid"
}
}
]
}
Well, after looking around quite a lot, I could not find a solution to my problem, as it "should" work, but obviously doesn't.
I'm using on a Ubuntu 14.04 LTS machine Logstash 1.4.2-1-2-2c0f5a1, and I am receiving messages such as the following one:
2014-08-05 10:21:13,618 [17] INFO Class.Type - This is a log message from the class:
BTW, I am also multiline
In the input configuration, I do have a multiline codec and the event is parsed correctly. I also separate the event text in several parts so that it is easier to read.
In the end, I obtain, as seen in Kibana, something like the following (JSON view):
{
"_index": "logstash-2014.08.06",
"_type": "customType",
"_id": "PRtj-EiUTZK3HWAm5RiMwA",
"_score": null,
"_source": {
"#timestamp": "2014-08-06T08:51:21.160Z",
"#version": "1",
"tags": [
"multiline"
],
"type": "utg-su",
"host": "ubuntu-14",
"path": "/mnt/folder/thisIsTheLogFile.log",
"logTimestamp": "2014-08-05;10:21:13.618",
"logThreadId": "17",
"logLevel": "INFO",
"logMessage": "Class.Type - This is a log message from the class:\r\n BTW, I am also multiline\r"
},
"sort": [
"21",
1407315081160
]
}
You may have noticed that I put a ";" in the timestamp. The reason is that I want to be able to sort the logs using the timestamp string, and apparently logstash is not that good at that (e.g.: http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/multi-fields.html).
I have unsuccessfull tried to use the date filter in multiple ways, and it apparently did not work.
date {
locale => "en"
match => ["logTimestamp", "YYYY-MM-dd;HH:mm:ss.SSS", "ISO8601"]
timezone => "Europe/Vienna"
target => "#timestamp"
add_field => { "debug" => "timestampMatched"}
}
Since I read that the Joda library may have problems if the string is not strictly ISO 8601-compliant (very picky and expects a T, see https://logstash.jira.com/browse/LOGSTASH-180), I also tried to use mutate to convert the string to something like 2014-08-05T10:21:13.618 and then use "YYYY-MM-dd'T'HH:mm:ss.SSS". That also did not work.
I do not want to have to manually put a +02:00 on the time because that would give problems with daylight saving.
In any of these cases, the event goes to elasticsearch, but date does apparently nothing, as #timestamp and logTimestamp are different and no debug field is added.
Any idea how I could make the logTime strings properly sortable? I focused on converting them to a proper timestamp, but any other solution would also be welcome.
As you can see below:
When sorting over #timestamp, elasticsearch can do it properly, but since this is not the "real" log timestamp, but rather when the logstash event was read, I need (obviously) to be able to sort also over logTimestamp. This is what then is output. Obviously not that useful:
Any help is welcome! Just let me know if I forgot some information that may be useful.
Update:
Here is the filter config file that finally worked:
# Filters messages like this:
# 2014-08-05 10:21:13,618 [17] INFO Class.Type - This is a log message from the class:
# BTW, I am also multiline
# Take only type- events (type-componentA, type-componentB, etc)
filter {
# You cannot write an "if" outside of the filter!
if "type-" in [type] {
grok {
# Parse timestamp data. We need the "(?m)" so that grok (Oniguruma internally) correctly parses multi-line events
patterns_dir => "./patterns"
match => [ "message", "(?m)%{TIMESTAMP_ISO8601:logTimestampString}[ ;]\[%{DATA:logThreadId}\][ ;]%{LOGLEVEL:logLevel}[ ;]*%{GREEDYDATA:logMessage}" ]
}
# The timestamp may have commas instead of dots. Convert so as to store everything in the same way
mutate {
gsub => [
# replace all commas with dots
"logTimestampString", ",", "."
]
}
mutate {
gsub => [
# make the logTimestamp sortable. With a space, it is not! This does not work that well, in the end
# but somehow apparently makes things easier for the date filter
"logTimestampString", " ", ";"
]
}
date {
locale => "en"
match => ["logTimestampString", "YYYY-MM-dd;HH:mm:ss.SSS"]
timezone => "Europe/Vienna"
target => "logTimestamp"
}
}
}
filter {
if "type-" in [type] {
# Remove already-parsed data
mutate {
remove_field => [ "message" ]
}
}
}
I have tested your date filter. it works on me!
Here is my configuration
input {
stdin{}
}
filter {
date {
locale => "en"
match => ["message", "YYYY-MM-dd;HH:mm:ss.SSS"]
timezone => "Europe/Vienna"
target => "#timestamp"
add_field => { "debug" => "timestampMatched"}
}
}
output {
stdout {
codec => "rubydebug"
}
}
And I use this input:
2014-08-01;11:00:22.123
The output is:
{
"message" => "2014-08-01;11:00:22.123",
"#version" => "1",
"#timestamp" => "2014-08-01T09:00:22.123Z",
"host" => "ABCDE",
"debug" => "timestampMatched"
}
So, please make sure that your logTimestamp has the correct value.
It is probably other problem. Or can you provide your log event and logstash configuration for more discussion. Thank you.
This worked for me - with a slightly different datetime format:
# 2017-11-22 13:00:01,621 INFO [AtlassianEvent::0-BAM::EVENTS:pool-2-thread-2] [BuildQueueManagerImpl] Sent ExecutableQueueUpdate: addToQueue, agents known to be affected: []
input {
file {
path => "/data/atlassian-bamboo.log"
start_position => "beginning"
type => "logs"
codec => multiline {
pattern => "^%{TIMESTAMP_ISO8601} "
charset => "ISO-8859-1"
negate => true
what => "previous"
}
}
}
filter {
grok {
match => [ "message", "(?m)^%{TIMESTAMP_ISO8601:logtime}%{SPACE}%{LOGLEVEL:loglevel}%{SPACE}\[%{DATA:thread_id}\]%{SPACE}\[%{WORD:classname}\]%{SPACE}%{GREEDYDATA:logmessage}" ]
}
date {
match => ["logtime", "yyyy-MM-dd HH:mm:ss,SSS", "yyyy-MM-dd HH:mm:ss,SSS Z", "MMM dd, yyyy HH:mm:ss a" ]
timezone => "Europe/Berlin"
}
}
output {
elasticsearch { hosts => ["localhost:9200"] }
stdout { codec => rubydebug }
}
Hope someone can help me out!
I have a question about logstash. I grok the following date with succes: 26/Jun/2013:14:00:26 +0200
Next, I want this date to be used as the #timestamp of the event. As you know logstash automatically adds a timestamp.
Replacing the timestamp that logstash is adding can be done by the date filter. I have added the following date filter: match => [ "date", "dd/MMM/YYYY:HH:mm:ss Z"]
But, for some reason, that doesn't work. When I test it out, I see that logstash just adds his own timestamp.
Code:
grok {
type => "log-date"
pattern => "%{HTTPDATE:date}"
}
date{
type => "log-date"
match => [ "date", "dd/MMM/YYYY:HH:mm:ss Z"]
}
I need to do this, so I can add events to elasticsearch.
Thanks in advance!
I used the following approach:
# strip the timestamp and force event timestamp to be the same.
# the original string is saved in field %{log_timestamp}.
# the original logstash input timestamp is saved in field %{event_timestamp}.
grok {
patterns_dir => "./patterns"
match => [ "message", "%{IRODS_TIMESTAMP:log_timestamp}" ]
add_tag => "got_syslog_timestamp"
add_field => [ "event_timestamp", "%{#timestamp}" ]
}
date {
match => [ "log_timestamp", "MMM dd HH:mm:ss" ]
}
mutate {
replace => [ "#timestamp", "%{log_timestamp}" ]
}
My problem now is that, even if #timestamp is replaced, I would like to convert it to a ISO8601-compatible format first so that other programs don't have problems interpreting it, like the timestamp present in "event_timestamp":
"#timestamp" => "Mar 5 14:38:40",
"#version" => "1",
"type" => "irods.relog",
"host" => "ids-dev",
"path" => "/root/logstash/reLog.2013.03.01",
"pid" => "5229",
"level" => "NOTICE",
"log_timestamp" => "Mar 5 14:38:40",
"event_timestamp" => "2013-09-17 12:20:28 UTC",
"tags" => [
[0] "got_syslog_timestamp"
]
You could convert it easily since you have the year information... In my case I would have to parse it out of the "path" (filename) attribute... but still, there does not seem to be an convert_to_iso8901 => #timestamp directive.
Hope this helps with your issue anyway! :)
The above answer is just a work around !, try to add locale => "en" to your code.
If not added, the date weekdays and month names will be parsed with the default platform locale language (spanish, french or whatever) and that's why it didn't work (since your log is in english).
date{
type => "log-date"
match => [ "date", "dd/MMM/YYYY:HH:mm:ss Z"]
locale => "en"
}