I am having a log file that gives a Duration : 10 with timestamp in my logfile. When i a put a search field in kibana for duration, i am able to get a point coming in the graph whenever duration is coming in the log file. How can i get/set the value of a point at the graph.
currently
10:12:34 Duration :5
10:17:19 Duration :7
Whenever Duration is coming a point is coming in the graph.How to set the value at the particular timestamp to 7/10 or whtever is corresponding value for duration.
my logstash conf file is as follows
input {
file {
path => "C:/log.txt"
}
}
filter {
extractnumbers {
add_field => [ "Duration", "%{message}" ]
}
}
output {
stdout { codec => rubydebug }
elasticsearch {
embedded => true
}
}
You want to do something like this:
grok {
match => ["message", %{TIME:time}.*%{NUMBER:duration}]
}
date { match => [ "time", "HH:mm:ss" ] }
This was able to fetch the data of type duration.I added the following filter in logstash.conf file. We can replace Duration with any field we want to extract.
filter {
extractnumbers {
add_field => [ "Duration", "%{message}" ]
}
}
In the kibana dash board we can extract corresponding values.
Related
I copied
{"name":"myapp","hostname":"banana.local","pid":40161,"level":30,"msg":"hi","time":"2013-01-04T18:46:23.851Z","v":0}
from https://github.com/trentm/node-bunyan and save it as my logs.json. I am trying to import only two fields (name and msg) to ElasticSearch via LogStash. The problem is that I depend on a sort of filter that I am not able to accomplish. Well I have successfully imported such line as a single message but certainly it is not worth in my real case.
That said, how can I import only name and msg to ElasticSearch? I tested several alternatives using http://grokdebug.herokuapp.com/ to reach an useful filter with no success at all.
For instance, %{GREEDYDATA:message} will bring the entire line as an unique message but how to split it and ignore all other than name and msg fields?
At the end, I am planing to use here:
input {
file {
type => "my_type"
path => [ "/home/logs/logs.log" ]
codec => "json"
}
}
filter {
grok {
match => { "message" => "data=%{GREEDYDATA:request}"}
}
#### some extra lines here probably
}
output
{
elasticsearch {
codec => json
hosts => "http://127.0.0.1:9200"
index => "indextest"
}
stdout { codec => rubydebug }
}
I have just gone through the list of available Logstash filters. The prune filter should match your need.
Assume you have installed the prune filter, your config file should look like:
input {
file {
type => "my_type"
path => [ "/home/logs/logs.log" ]
codec => "json"
}
}
filter {
prune {
whitelist_names => [
"#timestamp",
"type",
"name",
"msg"
]
}
}
output {
elasticsearch {
codec => json
hosts => "http://127.0.0.1:9200"
index => "indextest"
}
stdout { codec => rubydebug }
}
Please be noted that you will want to keep type for Elasticsearch to index it into a correct type. #timestamp is required if you will view the data on Kibana.
The previous days logs are stored as File Extension DATE format.
Please refer the pic of the place where logs are stored
Please find the code below which I have written in config file.
input {
file {
path => "D:/elasticsearch-2.3.3/logs/elasticsearch.log.2016-08-24"
start_position => "beginning"
}
}
filter {
date {
match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
}
}
output
{
stdout { codec => rubydebug }
elasticsearch { hosts => ["localhost:9200"] }
}
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"
}
}
]
}
The following is the configuration of logstash. When I input log into logstash, it works well as expected. All the field can be accepted by elasticsearch and the value and type of all fields is correct. However, when I view the log in kinana, it says that the cost field is not indexed so that it can't been visualized. While all the string fields are indexed. I want to visualize my float field. Anyone know what's the problem?
input {
syslog {
facility_labels=>["local0"]
port=>515
}
stdin {}
}
filter{
grok {
overwrite => ["host", "message"]
match => { "message" => " %{BASE10NUM:cost} %{GREEDYDATA:message}" }
}
mutate {
convert => { "cost" => "float" }
}
}
output {
stdout{
codec=>rubydebug
}
elasticsearch{ }
}
Kibana doesn't autoreload a new field from Elastic Search. You need to reload it manually.
So you go in the Settings tab, select you index and reload the fields
my system audit log contains the date format like created_at":1422765535789, so, the elastic search output also displays the date as same style. however, I would like convert and print this 1422765535789 to unix style date format.
I've used this format in syslog file (as suggested by another question thread) . but I am not getting the above value to unix style Date format
date {
match => ["created_at", "UNIX_MS"]
}
Hi, I've updated the code in the syslog , however, I am getting the created_at still output to elastic search page on same format like 1422765535789 , please find the modified code
input {
stdin {
}
}
filter {
grok {
match => [ "message", "%{NUMBER:created_at}"
]
}
if [message] =~ /^created_at/ {
date {
match => [ "created_at" , "UNIX_MS" ]
}
ruby {
code => "
event['created_at'] = Time.at(event['created_at']/1000);
"
}
}
}
output {
elasticsearch { host => localhost }
stdout { codec => rubydebug }
}
The date filter is used to update the #timestamp field value.
input {
stdin {
}
}
filter {
grok {
match => [ "message", "%{NUMBER:created_at:int}"
]
}
if "_grokparsefailure" not in [tags]
{
date {
match => [ "created_at" , "UNIX_MS" ]
}
ruby {
code => "
event['created_at'] = Time.at(event['created_at']/1000);
"
}
}
}
output
{
stdout {
codec => rubydebug
}
}
Here is my config. When I input 1422765535789, it can parse the value and update the #timestamp field value.
The output is
{
"message" => "1422765535789",
"#version" => "1",
"#timestamp" => "2015-02-01T04:38:55.789Z",
"host" => "ABC",
"created_at" => "2015-02-01T12:38:55.000+08:00"
}
You can found the value of #timestamp is same with created_at.
And, the ruby filter is used to convert the created_at to UTC format.
FYI.