I have multiple log messages in a file which I am processing using logstash filter plugins. Then, the filtered logs are getting sent to elasticsearch.
There is one field called addID in a log message. I want to drop all the log messages which have a particular addID present. These particular addIDS are present in a ID.yml file.
Scenario: If the addID of a log message matches with any of the addIDs present in the ID.yml file, that log message should be dropped.
Could anyone help me in achieving this?
Below is my config file.
input {
file {
path => "/Users/jshaw/logs/access_logs.logs
ignore_older => 0
}
}
filter {
grok {
patterns_dir => ["/Users/jshaw/patterns"]
match => ["message", "%{TIMESTAMP:Timestamp}+{IP:ClientIP}+{URI:Uri}"]
}
kv{
field_split => "&?"
include_keys => [ "addID" ]
allow_duplicate_values => "false"
}
if [addID] in "/Users/jshaw/addID.yml" {
drop{}
}
}
output {
elasticsearch{
hosts => ["localhost:9200"]
}
}
You are using the in operator wrong. It is used to check if a value is in an array, not in a file, which are usually a bit more complicated to use.
A solution would be to use the ruby filter to open the file each time.
Or put the addId value in your configuration file, like this:
if [addID] == "addID" {
drop{}
}
Related
Trying to update a specific field in elasticsearch through logstash. Is it possible to update only a set of fields through logstash ?
Please find the code below,
input {
file {
path => "/**/**/logstash/bin/*.log"
start_position => "beginning"
sincedb_path => "/dev/null"
type => "multi"
}
}
filter {
csv {
separator => "|"
columns => ["GEOREFID","COUNTRYNAME", "G_COUNTRY", "G_UPDATE", "G_DELETE", "D_COUNTRY", "D_UPDATE", "D_DELETE"]
}
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-data-monitor"
query => "GEOREFID:%{GEOREFID}"
fields => [["JSON_COUNTRY","G_COUNTRY"],
["XML_COUNTRY","D_COUNTRY"]]
}
if [G_COUNTRY] {
mutate {
update => { "D_COUNTRY" => "%{D_COUNTRY}"
}
}
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-data-monitor"
document_id => "%{GEOREFID}"
}
}
We are using the above configuration when we use this the null value field is getting removed instead of skipping null value update.
Data comes from 2 different source. One is from XML file and the other is from JSON file.
XML log format : GEO-1|CD|23|John|892|Canada|31-01-2017|QC|-|-|-|-|-
JSON log format : GEO-1|AS|33|-|-|-|-|-|Mike|123|US|31-01-2017|QC
When adding one log new document will get created in the index. When reading the second log file the existing document should get updated. The update should happen only in the first 5 fields if log file is XML and last 5 fields if the log file is JSON. Please suggest us on how to do this in logstash.
Tried with the above code. Please check and can any one help on how to fix this ?
For the Elasticsearch output to do any action other than index you need to tell it to do something else.
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-data-monitor"
action => "update"
document_id => "%{GEOREFID}"
}
This should probably be wrapped in a conditional to ensure you're only updating records that need updating. There is another option, though, doc_as_upsert
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-data-monitor"
action => "update"
doc_as_upsert => true
document_id => "%{GEOREFID}"
}
This tells the plugin to insert if it is new, and update if it is not.
However, you're attempting to use two inputs to define a document. This makes things complicated. Also, you're not providing both inputs, so I'll improvise. To provide different output behavior, you will need to define two outputs.
input {
file {
path => "/var/log/xmlhome.log"
[other details]
}
file {
path => "/var/log/jsonhome.log"
[other details]
}
}
filter { [some stuff ] }
output {
if [path] == '/var/log/xmlhome.log' {
elasticsearch {
[XML file case]
}
} else if [path] == '/var/log/jsonhome.log' {
elasticsearch {
[JSON file case]
action => "update"
}
}
}
Setting it up like this will allow you to change the ElasticSearch behavior based on where the event originated.
Hello everyone,
Through logstash, I want to query elasticsearch in order to get fields from previous events and do some computation with fields of my current event and add new fields. Here is what I did:
input file:
{"device":"device1","count":5}
{"device":"device2","count":11}
{"device":"device1","count":8}
{"device":"device3","count":100}
{"device":"device3","count":95}
{"device":"device3","count":155}
{"device":"device2","count":15}
{"device":"device1","count":55}
My expected output:
{"device":"device1","count":5,"previousCount=0","delta":0}
{"device":"device2","count":11,"previousCount=0","delta":0}
{"device":"device1","count":8,"previousCount=5","delta":3}
{"device":"device3","count":100,"previousCount=0","delta":0}
{"device":"device3","count":95,"previousCount=100","delta":-5}
{"device":"device3","count":155,"previousCount=95","delta":60}
{"device":"device2","count":15,"previousCount=11","delta":4}
{"device":"device1","count":55,"previousCount=8","delta":47}
Logstash filter part:
filter {
elasticsearch {
hosts => ["localhost:9200/device"]
query => 'device:"%{[device]}"'
sort => "#timestamp:desc"
fields => ['count','previousCount']
}
if [previousCount]{
ruby {
code => "event[delta] = event[count] - event[previousCount]"
}
}
else{
mutate {
add_field => { "previousCount" => "0" }
add_field => { "delta" => "0" }
}
}
}
My problem:
For every line of my input file I got the following error : Failed to query elasticsearch for previous event ..
It seems that every line completely treated is not put in elasticsearch before logstash starts to treat the next line.
I don't know if my conclusion is correct and, if yes, why it happens.
So, do you know how I could solve this problem please ?!
Thank you for your attention and your help.
S
I begin with logstash and ElasticSearch and I would like to index .pdf or .doc file type in ElasticSearch via logstash.
I configured logstash using the codec multiline to get my file in a single message in ElasticSearch. Below is my configuration file:
input {
file {
path => "D:/BaseCV/*"
codec => multiline {
# Grok pattern names are valid! :)
pattern => ""
what => "previous"
}
}
}
output {
stdout {
codec => "rubydebug"
}
elasticsearch {
hosts => "localhost"
index => "cvindex"
document_type => "file"
}
}
At the start of logstash the first file I add, I recovered in ElasticSearch in one message, but the following are spread over several messages. I wish I had the correspondence : 1 file = 1 message.
Is this possible ? What should I change my setup to solve the problem ?
Thank you for your feedback.
Summary:
I am using Logstash - Grok and elastic search and my main aim is to First accept the logs by logstash, parse them by grok and associate tags with the messages depending on the type of the log, and then finally feed it to the Elastic server to query with Kibana.
I have already written this code but am not able to get the tags in Elastic Search.
This is my logstash confif file.
input {
stdin {
type => "stdin-type"
}
}
filter {
grok {
tags => "mytags"
pattern => "I am a %{USERNAME}"
add_tag => "mytag"
named_captures_only => true
}
}
output {
stdout { debug => true debug_format => "json"}
elasticsearch {}
}
Where am I going wrong?
1) I would first start with editing your values to match the data type they represent. For example
add_tag => "mytag"
actually should have an array as it's value, not a simple string. Change that to
add_tag => ["mytag"]
as a good start. Double check all your values and verify they are of the correct type for logstash.
2) You are limiting your grok filters to messages that are already tagged with "mytags" based on the config line
tags => "mytags"
I don't see anywhere where you have added that tag ahead of time. Therefore, none of your messages will even go through your grok filter.
3) Please read the logstash docs carefully. I am rather new to the Logstash/Grok/ES/Kibana etc. world as well, but I have had very similar problems to what you have had, and all of them were solved by paying attention to what the documentation says.
You can run LogStash by hand (You may already be doing this) with /opt/logstash/bin/logstash -f $CONFIG_FILE and can check that your config file is valid with /opt/logstash/bin/logstash -f $CONFIG_FILE --configtest I bet you're already doing that though.
You may need to put your add_tag stanza into an array
grok {
...
add_tag => [ "mytag" ]
}
It could also be that what you're piping into STDIN isn't being matched in the grok pattern. If grok doesn't match is should result in _grokparsefailure being added to your tags. If you see those, it means your grok pattern isn't firing.
A better way to do this may be...
input {
stdin {
type => 'stdin'
}
}
filter {
if [type] = 'stdin' {
mutate {
add_tag => [ "mytag" ]
}
}
}
output {
stdout {
codec => 'rubydebug'
}
}
This will add a "mytag" tag to all things coming from standard in, wether they're groked or not.
I have the following configuration file. But when I run this, I get the timestamp changed in the terminal but the log is not shipped to ElasticSearch.
Here is the configuration file:
input {
stdin {
type => "stdin-type"
}
}
filter {
grok {
type => "stdin-type"
patterns_dir=>["./patterns"]
pattern => "%{PARSE_ERROR}"
add_tag=>"%{type1},%{type2},%{slave},ERR_SYSTEM"
}
mutate
{
type=>"stdin-type"
replace => ["#message", "%{message}" ]
replace =>["#timestamp","2013-05-09T05:19:16.876Z"]
}
}
output {
stdout { debug => true debug_format => "json"}
elasticsearch
{
}
}
On removing the replace line, the log gets shipped. Where am I going wrong?
Run logstash with the verbose flags, and then check your logstash log for any output. In verbose mode, the logstash process usually confirms if the message was sent off to ES or why it wasn't.
Your config looks clean...if the verbose flags don't give you any meaningful output, then you should check your ES setup.
Try the second 'replace' in a second mutate code block.
mutate
{
type=>"stdin-type"
replace => ["#message", "%{message}" ]
}
mutate
{
type=>"stdin-type"
replace =>["#timestamp","2013-05-09T05:19:16.876Z"]
}