logstash-grok

I'm having issues with grok parsing. In ElasticSearch/Kibana the lines I match come up with the tag _grokparsefailure. Here is my logstash config : input { file { type => logfile path => ["/var/log/mylog.log"] } } filter { if [type] == "logfile" { mutate { gsub => ["message","\"","'"] } grok { match => { "message" => "L %{DATE} - %{TIME}: " } } } } output { elasticsearch { host => localhost port => 9300 } } lines/patterns I'm trying to match : L 08/02/2014 - 22:55:49: Log file closed : " finished " I tried the debugger on http://grokdebug.herokuapp.com/ and it works fine, my pattern matches

Im trying to parse my apache2 error log and im having a bit of trouble.. It doesnt seem to be matching the filter. Im pretty sure the timestamp piece is wrong, but im not sure, and i cant really find any documentation to figure it out. Also, is there a way to get what is in fields.errmsg to me @message ? Log [Wed Jun 26 22:13:22 2013] [error] [client 10.10.10.100] PHP Fatal error: Uncaught exception '\Foo\Bar' Shipper Config input { file { 'path' => '/var/log/apache2/*-error.log' 'type' => 'apache-error' } } filter { grok { type => "apache-error" pattern => "\[%{HTTPDATE:timestamp}\] \[%{WORD

Basic is a float field. The mentioned index is not present in elasticsearch. When running the config file with logstash -f , I am getting no exception. Yet, the data reflected and entered in elasticsearch shows the mapping of Basic as string . How do I rectify this? And how do I do this for multiple fields? input { file { path => "/home/sagnik/work/logstash-1.4.2/bin/promosms_dec15.csv" type => "promosms_dec15" start_position => "beginning" sincedb_path => "/dev/null" } } filter { grok{ match => [ "Basic", " %{NUMBER:Basic:float}" ] } csv { columns => ["Generation_Date","Basic"] separator => "

I'd like to import a text file in Elasticsearch. The text file contains 3 values per line. After spending several hours of struggling, I didn't get it done. Help is greatly appreciated. Elasticsearch 5.4.0 with Logstash installed. Sample data: username email hash username email hash username email hash username email hash username email hash also built a python script but its too slow: import requests import json from elasticsearch import Elasticsearch es = Elasticsearch([{'host': 'localhost', 'port': 9200}]) i = 1 with open("my2") as fileobject: for line in fileobject: username, email, hash =

I have two related questions. First is how best to grok logs that have "messy" spacing and so on, and the second, which I'll ask separately, is how to deal with logs that have arbitrary attribute-value pairs. (See: logstash grok filter for logs with arbitrary attribute-value pairs ) So for the first question, I have a log line that looks like this: 14:46:16.603 [http-nio-8080-exec-4] INFO METERING - msg=93e6dd5e-c009-46b3-b9eb-f753ee3b889a CREATE_JOB job=a820018e-7ad7-481a-97b0-bd705c3280ad data=71b1652e-16c8-4b33-9a57-f5fcb3d5de92 Using http://grokdebug.herokuapp.com/ I was able to eventually

I am new to logstash and desparate to setup ELK for one of the usecase. I have found this question relevent to mine Why won't Logstash multiline merge lines based on grok'd field? If multiline filter do not merge lines on grok fields then how do I merge line 2 and 10 from the below log sample? Please help. Using grok patterns I have created a field 'id' which holds the value 715. Line1 - 5/08/06 00:10:35.348 [BaseAsyncApi] [qtp19303632-51]: INFO: [714] CMDC flowcxt=[55c2a5fbe4b0201c2be31e35] method=contentdetail uri=http://10.126.44.161:5600/cmdc/content/programid%3A%2F%2F317977349~programid

I am new to logstash. I have some logs stored in AWS S3 and I am able to import them to logstash. My question is: is it possible to use the grok filter to add tags based on the filenames? I try to use: grok { match => {"path" => "%{GREEDYDATA}/%{GREEDYDATA:bitcoin}.err.log"} add_tag => ["bitcoin_err"] } This is not working. I guess the reason is "path" only working with file inputs. Here is the structure of my S3 buckets: my_buckets ----A ----2014-07-02 ----a.log ----b.log ----B ----2014-07-02 ----a.log ----b.log I am using this inputs conf: s3 { bucket => "my_buckets" region => "us-west-1"