I have the following JSON log (new line separated )
{
"logName": "projects/gg-sanbox/logs/appengine.googleapis.com%2Fnginx.request",
"timestamp": "2018-04-02 22:26:02.869 UTC",
"receiveTimestamp":"2018-04-02 22:28:06.742394 UTC",
}
and logstash config
input
{
file {
type => "json"
path => "/logs/mylogs.log"
codec => json
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter{
json{
source => "message"
}
date {
match => [ "timestamp", "yyyy-MM-dd HH:mm:ss.SSS Z"]
}
}
output
{
stdout
{
#codec => rubydebug
}
elasticsearch
{
codec => "json_lines"
hosts => ["127.0.0.1:9200"]
# document_id => "%{logstash_checksum}"
index => "appengine_nginx-requests"
}
}
I am getting the following in the logstash output
"#timestamp"=>2018-04-07T15:26:31.857Z, "tags"=>["_dateparsefailure"],
Notice that its falling back to the current data and time instead of the time mentioned in the log line which is actually the event had occured and I want to see in the Kibana timeline.
Not sure what is the problem here.
Take a look at date filter plugin documentation, the format option Z does not match UTC; because alone it's not a timezone (for it to be valid it would need to be +0000). You'll need to add it like so: yyyy-MM-dd HH:mm:ss.SSS 'UTC'
To answer your other question about the precision of the seconds; it's simply not supported to have any precision lower than milliseconds. If you look at link above, you'll find:
Maximum precision is milliseconds (SSS). Beyond that, zeroes are appended.
Related
I am using logstash 6.2.4 with the following config:
input {
stdin { }
}
filter {
date {
match => [ "message","HH:mm:ss" ]
}
}
output {
stdout { }
}
With the following input:
10:15:20
I get this output:
{
"message" => "10:15:20",
"#version" => "1",
"host" => "DESKTOP-65E12L2",
"#timestamp" => 2019-01-01T09:15:20.000Z
}
I have just a time information, but would like to parse it as current date.
Note that current date is 1. March 2019, so I guess that 2019-01-01 is some sort of default ?
How can I parse time information and add current date information to it ?
I am not really interested in any replace or other blocks as according to the documentation, parsing the time should default to current date.
You need to add a new field merging the current date with the field that contains your time information, which in your example is the message field, then your date filter will need to be tested against this new field, you can do this using the following configuration.
filter {
mutate {
add_field => { "current_date" => "%{+YYYY-MM-dd} %{message}" }
}
date {
match => ["current_date", "YYYY-MM-dd HH:mm:ss" ]
}
}
The result will be something like this:
{
"current_date" => "2019-03-03 10:15:20",
"#timestamp" => 2019-03-03T13:15:20.000Z,
"host" => "elk",
"message" => "10:15:20",
"#version" => "1"
}
I'm trying to config logstash to process some test log, but I keep getting a dateparsefailure and I don't understand why. My input is
2016-09-18 00:00:02,013 UTC, idf="639b26a731284b43beac8b26f829bcab"
And my config (I've also tried including the timezone into the pattern):
input {
file {
path => "/tmp/test.log"
start_position => "beginning"
}
}
filter {
date {
match => ["message", "yyyy-MM-dd HH:mm:ss,SSS"]
timezone => "UTC"
add_field => { "debug" => "timestampMatched"}
}
grok {
match => { "message" => "%{YEAR:year}-%{MONTHNUM:month}-%{MONTHDAY:day} %{HOUR:hour}:%{MINUTE:minute}:%{SECOND:second},%{NUMBER:milis} UTC, idf=\"%{WORD:idf}\""}
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
}
stdout {
codec => rubydebug
}
}
Finaly, the error:
{:timestamp=>"2016-09-21T10:04:32.060000+0000", :message=>"Failed parsing date from field", :field=>"message", :value=>"2016-09-18 00:00:02,013 UTC, idf=\"639b26a731284b43beac8b26f829bcab\"", :exception=>"Invalid format: \"2016-09-18 00:00:02,013 UTC, idf=\"639b26a731284b4...\" is malformed at \" UTC, idf=\"639b26a731284b4...\"", :config_parsers=>"yyyy-MM-dd HH:mm:ss,SSS", :config_locale=>"default=en_US", :level=>:warn, :file=>"logstash/filters/date.rb", :line=>"354", :method=>"filter"}
It says that the date it is malformed after the end of it. Why does this happen, shouldn't it 'stop searching' since the date has already a match?
Before you can use the date filter, you first have to use grok to separate the date and the rest of the message. The date filter only accepts a timestamp. If you have any other information in the field the error you are describing will occur.
Using your provided logline I would recommend this:
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timedate} %{GREEDYDATA}"}
}
date {
match => [ "timedate" => "yyyy-MM-dd HH:mm:ss,SSS"]
}
}
In this minimal example I match the timestamp in the timedate field and then crunch it trough the date filter.
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"]
}
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 would like to create a copy of the #timestamp field such that it uses the same format as #timestamp.
I've tried the following:
mutate
{
add_field => ["read_time", "%{#timestamp}"]
}
but while #timestamp is in the format: 2014-08-01T18:34:46.824Z,
the read_time is in this format 2014-08-01 18:34:46.824 UTC
This is an issue as Kibana doesn't understand the "UTC" format for histograms.
Is there a way using the date filter to do this?
Kibana can't understand because the read_time field is a string, not a timestamp!
You can use ruby filter to do what you need. Just copy the #timestamp to a new field read_time and the field time is in timestamp, not string. The add_field is add a new field with string type!
Here is my config:
input {
stdin{}
}
filter {
ruby {
code => "event['read_time'] = event['#timestamp']"
}
mutate
{
add_field => ["read_time_string", "%{#timestamp}"]
}
}
output {
stdout {
codec => "rubydebug"
}
}
You can try and see the output, the output is:
{
"message" => "3243242",
"#version" => "1",
"#timestamp" => "2014-08-08T01:09:49.647Z",
"host" => "BENLIM",
"read_time" => "2014-08-08T01:09:49.647Z",
"read_time_string" => "2014-08-08 01:09:49 UTC"
}
Hope this can help you.
You don't need to run any Ruby code. You can just use the add_field setting of the Mutate filter plugin:
mutate {
# Preserve "#timestamp" as "logstash_intake_timestamp"
add_field => { "logstash_intake_timestamp"=> "%{#timestamp}" }
}
date {
# Redefines "#timestamp" field from parsed timestamp, rather than its default value (time of ingestion by Logstash)
# FIXME: include timezone:
match => [ "timestamp_in_weird_custom_format", "YYYY-MM-dd HH:mm:ss:SSS" ]
tag_on_failure => ["timestamp_parse_failed"]
target => "#timestamp"
}