I am trying to parse the following xml data using logstash.I am able to do it by removing the namespace from tags.But when I am trying it on the actual documents which is having namespace in it, its not able to parse the fields. Can someone help with the use of namespace or whether I am going wrong somewhere else?
<Book:Body>
<Book:Head>
<bookname>Book:Name</bookname>
<ns:Hello xmlns:ns="www.example.com">
<ns:BookDetails>
<ns:ID>123456</ns:ID>
<ns:Name>ABC</ns:Name>
</ns:BookDetails>
</ns:Hello xmlns:ns="www.example.com">
</Book:Head>
</Book:Body>
Following is my config file:
multiline {
pattern => "<Book:Body>"
what => "previous"
negate => "true"
}
xml {
store_xml => "false"
source => "message"
remove_namespaces => "true"
xpath =>[
"/Book/Book/BookDetails/ID/text()","ID",
"/Book/Book/BookDetails/Name/text()","Name"
]
}
mutate {
add_field => ["IDIndexed", "%{ID}"]
add_field => ["NameIndexed", "%{Name}"]
}
As it is not getting parsed, I am just getting %{ID} and %{Name} using mutate instead of getting their actual values.
Problem is in xpath :
try this
xpath => [
"/Body/head/Hello/BookD/BookDetails/ID/text()", "ID",
"/Body/head/Hello/BookD/BookDetails/Name/text()", "Name",
]
Related
I would need to create a kind of regular expression to remove all the properties in a json matching the name "source_user_id", since such property is at different levels of the json. E.g.
filter
{
mutate {
remove_field => ["[extended_tweet][entities][media][0][source_user_id]", "message"]
remove_field => ["[extended_tweet][extended_entities][media][0][source_user_id]", "message"]
...
I read that I can do something like:
remove_field => ["[%{source_user_id}]", "message"]
But that will only match at the first level.
Any suggestion?
Thanks in advance,
I'm searching on internet a way to put a variable in logstash and use or modify the value if a term is corresponding to a pattern.
Here, the is an example of my data source:
2017-04-12 15:49:57,641|OK|file1|98|||
2017-04-12 15:49:58,929|OK|file2|1387|null|msg_fils|
2017-04-12 15:49:58,931|OK|file3|2|msg_pere|msg_fils|
2017-04-12 15:50:17,666|OK|file1|25|||
2017-04-12 15:50:17,929|OK|file2|1387|null|msg_fils|
I'm using this grok code to parse my source.
grok {
match => {"message" => '%{TIMESTAMP_ISO8601:msgdates:date}\|%{WORD:verb}\|%{DATA:component}\|%{NUMBER:temps:int}\|%{DATA:msg_pere}\|%{DATA:msg_fils}\|'}
}
But in fact I want to modify the first field by the previous value of the line which contains file1
Can you tell me if it's possible or not?
Thanks
I have found a solution to my issue. I'm sharing you the solution to my problem.
I'm using a plugin named logstash-filter-memorize, it can be install by the command :
logstash-plugin install logstash-filter-memorize
So my filter is like this :
grok {
match => {"message" => '%{TIMESTAMP_ISO8601:msgdates:date}\|%{WORD:verb}\|%{DATA:component}\|%{NUMBER:temps:int}\|%{DATA:msg_pere}\|%{DATA:msg_fils}\|'}
}
if [component] =~ "file1" {
mutate {
add_field => [ "msg_id", "%{msgdates}" ]
}
memorize {
fields => [ "msg_id" ]
default => { "msg_id" => "NOTFOUND" }
} }
memorize {
fields => [ "msg_id9" ]
}
I hope that it can be useful for others.
I am using logstash to get data from a sql database. There is a field called "code" in which the content has
this structure:
PO0000001209
ST0000000909
And what I would like to do is to remove the 6 zeros after the letters to get the following result:
PO1209
ST0909
I will put the result in another field called "code_short" and use it for my query in elasticsearch. I have configured the input
and the output in logstash but I am not sure how to do it using grok or maybe mutate filter
I have read some examples but I am quite new on this and I am a bit stuck.
Any help would be appreciated. Thanks.
You could use a mutate/gsub filter for this but that will replace the value of the code field:
filter {
mutate {
gsub => [
"code", "000000", "",
]
}
}
Another option is to use a grok filter like this:
filter {
grok {
match => { "code" => "(?<prefix>[a-zA-Z]+)000000%{INT:suffix}" }
add_field => { "code_short" => "%{prefix}%{suffix}"}
}
}
I'm newbie with Logstash. Currently i'm trying to parse a log in CSV format. I need to split a field with whitespace delimiter, then i'll add new field(s) based on split result.
Here is the filter i need to create:
filter {
...
mutate {
split => ["user", " "]
if [user.length] == 2 {
add_field => { "sourceUsername" => "%{user[0]}" }
add_field => { "sourceAddress" => "%{user[1]}" }
}
else if [user.length] == 1 {
add_field => { "sourceAddress" => "%{user[0]}" }
}
}
...
}
I got error after the if script.
Please advice, is there any way to capture the length of split result inside mutate plugin.
Thanks,
Heri
According to your code example I suppose that you are done with csv parsing and you already have a field user which has either a value that contains a sourceAddress or a value that contains a sourceUsername sourceAddress (separated by whitespace).
Now, there are a lot of filters that can be used to retrieve further fields. You don't need to use the mutate filter to split the field. In this case, a more flexible approach would be the grok filter.
Filter:
grok {
match => {
"user" => [
"%{WORD:sourceUsername} %{IP:sourceAddress}",
"%{WORD:sourceUsername}"
]
}
}
A field "user" => "192.168.0.99" would result in
"sourceAddress" => "191.168.0.99".
A field "user" => "Herry 192.168.0.99" would result in
"sourceUsername" => "Herry", "sourceAddress" => "191.168.0.99"
Of course you can change IP to WORD if your sourceAddress is not an IP.
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 => ","
}
ruby {
code => "event['Generation_Date'] = Date.parse(event['Generation_Date']);"
}
}
output {
elasticsearch {
action => "index"
host => "localhost"
index => "promosms-%{+dd.MM.YYYY}"
workers => 1
}
}
You have two problems. First, your grok filter is listed prior to the csv filter and because filters are applied in order there won't be a "Basic" field to convert when the grok filter is applied.
Secondly, unless you explicitly allow it, grok won't overwrite existing fields. In other words,
grok{
match => [
"Basic", " %{NUMBER:Basic:float}"
]
}
will always be a no-op. Either specify overwrite => ["Basic"] or, preferably, use mutate's type conversion feature:
mutate {
convert => ["Basic", "float"]
}