I had been using the multline codec of logstash for my java exceptions. However, recently I wanted to capture more things and hence used another pattern. This causes my logstash not to read file even though I am using sincedb_path attribute.
My configurations file -
input {
file {
type => "pa"
path => "/home/jigar/POC/Docs/smalllogs/test"
codec => multiline {
pattern => "^%{DATESTAMP}"
negate => true
what => "previous"
}
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter {
grok {
match => [ "message", "%{DATESTAMP:actualTimeStamp}%{SPACE}%{LOGLEVEL:level}%{SPACE}%{GREEDYDATA:identifier}%{SYSLOG5424SD:Id}%{SPACE}%{JAVACLASS:package}:%{INT:lineNum}%{SPACE}-%{SPACE}%{DATA:mydata}\n(\t)?%{GREEDYDATA:stack}" ]
}
}
output {
elasticsearch {
cluster => "smartdebugger"
protocol => "http"
host => "localhost"
}
stdout { codec =>rubydebug }
}
Can somebody please help me why logstash is not able to read the file.
Related
Currently, I have a program that writes a json array into a json file. The json file is initially blank. I also have an instance of logstash running with the following config file.
input{
file{
path => "/Users/CP4/Downloads/gs-accessing-data-mysql-master/complete/example.json"
codec => "json"
start_position => "beginning"
ignore_older => 0
}
}
filter {
mutate {
gsub => [ "message","\[",""]
gsub => [ "message","\n",""]
gsub => [ "event","\},\{",","]
}
json { source => message }
}
output{
elasticsearch{
hosts => "localhost:9200"
index => "test123"
}
stdout { codec => rubydebug }
}
For some reason, logstash will only read the file once I go in and make some changes manually, rather than when my program writes json to it. What could be causing this? Is the way my config file is set up wrong? Thanks.
Data missed a lot in logstash version 5.0,
is it a serous bug ,when a config the config file so many times ,it useless,data lost happen again and agin, how to use logstash to collect log event property ?
any reply will thankness
Logstash is all about reading logs from specific location and based on you interested information you can create index in elastic search or other output also possible.
Example of logstash conf
input {
file {
# PLEASE SET APPROPRIATE PATH WHERE LOG FILE AVAILABLE
#type => "java"
type => "json-log"
path => "d:/vox/logs/logs/vox.json"
start_position => "beginning"
codec => json
}
}
filter {
if [type] == "json-log" {
grok {
match => { "message" => "UserName:%{JAVALOGMESSAGE:UserName} -DL_JobID:%{JAVALOGMESSAGE:DL_JobID} -DL_EntityID:%{JAVALOGMESSAGE:DL_EntityID} -BatchesPerJob:%{JAVALOGMESSAGE:BatchesPerJob} -RecordsInInputFile:%{JAVALOGMESSAGE:RecordsInInputFile} -TimeTakenToProcess:%{JAVALOGMESSAGE:TimeTakenToProcess} -DocsUpdatedInSOLR:%{JAVALOGMESSAGE:DocsUpdatedInSOLR} -Failed:%{JAVALOGMESSAGE:Failed} -RecordsSavedInDSE:%{JAVALOGMESSAGE:RecordsSavedInDSE} -FileLoadStartTime:%{JAVALOGMESSAGE:FileLoadStartTime} -FileLoadEndTime:%{JAVALOGMESSAGE:FileLoadEndTime}" }
add_field => ["STATS_TYPE", "FILE_LOADED"]
}
}
}
filter {
mutate {
# here converting data type
convert => { "FileLoadStartTime" => "integer" }
convert => { "RecordsInInputFile" => "integer" }
}
}
output {
elasticsearch {
# PLEASE CONFIGURE ES IP AND PORT WHERE LOG DOCs HAS TO PUSH
document_type => "json-log"
hosts => ["localhost:9200"]
# action => "index"
# host => "localhost"
index => "locallogstashdx_new"
# workers => 1
}
stdout { codec => rubydebug }
#stdout { debug => true }
}
To know more you can go throw many available websites like
https://www.elastic.co/guide/en/logstash/current/first-event.html
When I am trying to use logstash to read through a configuration file, I come up with map parsing error.
:response=>{"index"=>{"_index"=>"logstash-2016.06.07",
"_type"=>"txt", "_id"=>nil, "status"=>400,
"error"=>{"type"=>"mapper_parsing_exception", "r eason"=>"Failed to
parse mapping [default]: Mapping definition for [data] has
unsupported parameters: [ignore_above : 1024]",
"caused_by"=>{"type"=>"mapper_parsing_exception", "reason"=>"Mapping
definition for [data] has unsupported para meters: [ignore_above :
1024]"}}}}, :level=>:warn}←[0m
I found that there is no problem is groking my logs but just do not know what is the matter of the error.
Here is my logstash.conf
input{
stdin{}
file{
type => "txt"
path => "C:\HA\accesslog\trial.log"
start_position => "beginning"
}
}
filter{
grok{
match => {"message" => ["%{IP:ClientAddr}%{SPACE}%{NOTSPACE:access_date}%{SPACE}%{TIME:access_time}%{SPACE}%{NOTSPACE:x-eap.wlsCustomLogField.VirtualHost}%{SPACE}%{WORD:cs-method}%{SPACE}%{PATH:cs-uri-stem}%{SPACE}%{PROG:x-eap.wlsCustomLogField.Protocol}%{SPACE}%{NUMBER:sc-status}%{SPACE}%{NUMBER:bytes}%{SPACE}%{NOTSPACE:x-eap.wlsCustomLogField.RequestedSessionId}%{SPACE}%{PROG:x-eap.wlsCustomLogField.Ecid}%{SPACE}%{NUMBER:x-eap.wlsCustomLogField.ThreadId}%{SPACE}%{NUMBER:x-eap.wlsCustomLogField.EndTs}%{SPACE}%{NUMBER:time-taken}"]}
}
if "_grokparsefailure" in [tags] {
drop { }
}
}
output{
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-%{+YYYY.MM.dd}"
template_overwrite => true
}
stdout { codec => rubydebug }
}
Please help. Thanks.
I turn out find out the sollution here: github.com/elastic/elasticsearch/issues/16283
Another problem is the created field for indexing is too long. Shortening the name can solve the issue.
When i defined the pattern for parsing apache tomcat and application log files in logstash we are getting the following error .
Sample log file is :
2014-08-20 12:35:26,037 INFO [routerMessageListener-74] PoolableRuleEngineFactory Executing the rule -->ECE Tagging Rule
config file is :
filter{
grok{
type => "log4j"
#pattern => "%{TIMESTAMP_ISO8601:logdate} %{LOGLEVEL:severity} \[\w+\[% {GREEDYDATA:thread},.*\]\] %{JAVACLASS:class} - %{GREEDYDATA:message}"
pattern => "%{TIMESTAMP_ISO8601:logdate}"
#add_tag => [ "level_%{level}" ]
}
date {
match => [ "logdate", "YYYY-MM-dd HH:mm:ss,SSS"]
}
}
Unknown setting 'timestamp' for date {:level=>:error}
Your post does not show a setting 'timestamp' for your date filter. I suspect you had started with the example here which used timestamp setting that used to be in older versions of date filter. You correctly fixed it for newer version of logstash to use match setting but perhaps had not saved your change. I have no problems using above filter with logstash-1.5.3.
Here is my complete config file. Note I am still testing it but it seems to be working to import a JBoss log with Log4J log messages imported from an existing log file.
input {
tcp {
type => "log4j"
port => 4560
}
stdin {
type => "log4j"
}
}
filter {
grok{
type => "log4j"
#pattern => "%{TIMESTAMP_ISO8601:logdate} %{LOGLEVEL:severity} \[\w+\[%{GREEDYDATA:thread},.*\]\] %{JAVACLASS:class} - %GREEDYDATA:message}"
pattern => "%{TIMESTAMP_ISO8601:logdate}"
#add_tag => [ "level_%{level}" ]
}
date {
type => "log4j"
match => [ "logdate", "YYYY-MM-dd HH:mm:ss,SSS"]
exclude_tags => "_grokparsefailure"
}
# Catches normal space indented type things, probably could be removed b/c the other multiline should do everythign we need
multiline {
type => "log4j"
tags => ["_grokparsefailure"] # exclude anything we already handled
pattern => ".*"
what => "previous"
add_tag => "notgrok"
}
}
output {
gelf {
host => "localhost"
custom_fields => ["environment", "PROD", "service", "BestServiceInTheWorld"]
}
# Print each event to stdout.
stdout {
codec => json
}
}
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!