I have the following data in logstash output:
"Details" => "SAID,:EGT1_M2P7_01,::LIP,:10-168-98-203::RIP,:10-81-122-84:",
I want to make dynamic Key-value pairs according to delimiters
",:" means that "SAID" is the key and "EGT1_M2P7_01" is the value
"::" means that it is a new line and again ",:" means that "LIP" is the key and "10-168-98-203" is the value.
Need to know how to do it. Looking forward for answers
for the input you have given
"SAID,:EGT1_M2P7_01,::LIP,:10-168-98-203::RIP,:10-81-122-84:"
this filter plugin and stdout
filter {
kv {
source => "Details"
field_split => "::"
value_split => ":"
}
mutate {
remove_field => ["host", "#timestamp","#version", "message", "sequence" ]
}
}
output {
stdout {
codec => rubydebug
}
}
gives you
{
"LIP," => "10-168-98-203",
"SAID," => "EGT1_M2P7_01,",
"RIP," => "10-81-122-84"
}
remove the additional fields that are specific to your host system by adding in above remove_field list.
Related
Logstash 7.8.1
I'm trying to create two documents from one input with logstash. Different templates, different output indexes. Everything worked fine until I tried to change value only on the cloned doc.
I need to have one field in both documents with different values - is it possible with clone filter plugin?
Doc A - [test][event]- trn
Doc B (cloned doc) - [test][event]- spn
I thought that it will work if I use remove_field and next add_field in clone plugin, but I'm afraid that there was problem with sorting - maybe remove_field method is called after add_field (the field was only removed, but not added with new value).
Next I tried to add value to cloned document first and than to original, but it always made an array with both values (orig and cloned) and I need to have only one value in that field:/.
Can someone help me please?
Config:
input {
file {
path => "/opt/test.log"
start_position => beginning
}
}
filter {
grok {
match => {"message" => "... grok...."
}
}
mutate {
add_field => {"[test][event]" => "trn"}
}
clone {
clones => ["cloned"]
#remove_field => [ "[test][event]" ] #remove the field completely
add_field => {"[test][event]" => "spn"} #not added
add_tag => [ "spn" ]
}
}
output {
if "spn" in [tags] {
elasticsearch {
index => "spn-%{+yyyy.MM}"
hosts => ["localhost:9200"]
template_name => "templ1"
}
stdout { codec => rubydebug }
} else {
elasticsearch {
index => "trn-%{+yyyy.MM}"
hosts => ["localhost:9200"]
template_name => "templ2"
}
stdout { codec => rubydebug }
}
}
If you want to make the field that is added conditional on whether the event is the clone or the original then check the [type] field.
clone { clones => ["cloned"] }
if [type] == "cloned" {
mutate { add_field => { "foo" => "spn" } }
} else {
mutate { add_field => { "foo" => "trn" } }
}
add_field is always done before remove_field.
I'm currently discovering elastic search, kibana and logstash with docker. (Version 7.1.1) The three containers are running well.
I have some data files containing some lines like this one:
foo=bar type=alpha T=20180306174204527
My logstash.conf contains:
input {
file {
path => "/tmp/data/*.txt"
start_position => "beginning"
}
}
filter {
kv {
field_split => "\t"
value_split => "="
}
}
output {
elasticsearch { hosts => ["elasticsearch:9200"] }
stdout {
codec => rubydebug
}
}
I handle this data:
{
"host" => "07f3051a3bec",
"foo" => "bar",
"message" => "foo=bar\ttype=alpha\tT=20180306174204527",
"T" => "20180306174204527",
"#timestamp" => 2019-06-17T13:47:14.589Z,
"path" => "/tmp/data/ucL12018_03_06.txt",
"type" => "alpha"
"#version" => "1",
}
First step of job is done.
Now I want to add a filter to transform the value of the key T as a timestamp.
{
...
"T" => "2018-03-06T17:42:04.527Z",
"#timestamp" => 2019-06-17T13:47:14.589Z,
...
}
I do not know how to do it. I tried to add a second filter just after the kv filter, but nothing change when I add new files.
Add this filter after the kv filter:
date {
match => [ "T", "yyyyMMddHHmmssSSS" ]
target => "T"
}
The date filter will try to parse the field T using the provided pattern to create a date, which will be written to the T field (by default it overwrite the #timestamp field).
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"]
}
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!