How to load binary files (pdf, xls, other...) with Logstash and not changing their content.
Currently I try to load with
input {
file {
path => "C:/path/files/*"
type => "gesamt"
start_position => "beginning"
sincedb_path => "NUL"
}
}
filter {
multiline {
pattern => "/.*./gesamt"
negate => true
what => "previous"
}
base64 {
field => "blob"
}
}
output {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "index-name"
pipeline=>"test-pipeline"
}
}
It seems that multiline filter damages the binary content.
You cannot just dump binary files into Elasticsearch, this will not make them searchable, and a filesystem might be better suited to hold them.
If you want to make them searchable, you might want to take a look at the ingest attachment processor
Related
I am trying to generate various types in the same index based on various csv. As I don´t know the amount of csv, making an input for each one would be non-viable.
So does anyone know how to generate types with the names of the files and in those, introduce the csv respectively?
input {
file {
path => "/home/user/Documents/data/*.csv"
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter {
csv {
separator => ","
skip_header => "true"
autodetect_column_names => true
autogenerate_column_names => true
}
}
output {
elasticsearch {
hosts => "http://localhost:9200"
index => "final_index"
}
stdout {}
}
Thank you so much
Having multiple document structures in the same index has been removed in Elasticsearch indices since version 6, if a document is not looking the same way as the index is templated it will not be able to send the data to it, what you can do is make sure that all fields are known and you have one general template containing all possible fields.
Is there a reason why you want all of it in one index?
If it is for querying purposes or Kibana, do know you can wildcard when searching and have patterns for Kibana.
Update after your comment:
Use a filter to extract the filename using grok
filter {
grok {
match => ["path","%{GREEDYDATA}/%{GREEDYDATA:filename}\.csv"]
}
}
And use the filename in your output like this:
elasticsearch {
hosts => "http://localhost:9200"
index => "final_index-%{[filename]}"
}
I am following an online tutorial and have been provided with a cars.csv file and the following Logstash config file. My logstash is running perfectly well and is indexing the CSV as we speak.
The question is, I have another log file (entirely different data) which I need to parse and index into a different index.
How do I add this configuration without restarting logstash?
If above isn't possible and I edit the config file then restart logstash - it won't reindex the entire cars file will it?
If I do 2. How do I format the config for multiple styles of log file.
eg. my new log file looks like this:
01-01-2017 ORDER FAILED: £12.11 Somewhere : Fraud
Existing Config File:
input {
file {
path => "/opt/cars.csv"
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter {
csv {
separator => ","
columns =>
[
"maker",
"model",
"mileage",
"manufacture_year",
"engine_displacement",
"engine_power",
"body_type",
"color_slug",
"stk_year",
"transmission",
"door_count",
"seat_count",
"fuel_type",
"date_last_seen",
"date_created",
"price_eur"
]
}
mutate {
convert => ["mileage", "integer"]
}
mutate {
convert => ["price_eur", "float"]
}
mutate {
convert => ["engine_power", "integer"]
}
mutate {
convert => ["door_count", "integer"]
}
mutate {
convert => ["seat_count", "integer"]
}
}
output {
elasticsearch {
hosts => "localhost"
index => "cars"
document_type => "sold_cars"
}
stdout {}
}
Config file for orders.log
input {
file {
path => "/opt/logs/orders.log"
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter {
grok {
match => { "message" => "(?<date>[0-9-]+) (?<order_status>ORDER [a-zA-Z]+): (?<order_amount>£[0-9.]+) (?<order_location>[a-zA-Z]+)( : (?<order_failure_reason>[A-Za-z ]+))?"}
}
mutate {
convert => ["order_amount", "float"]
}
}
output {
elasticsearch {
hosts => "localhost"
index => "sales"
document_type => "order"
}
stdout {}
}
Disclaimer: I'm a complete newbie. Second day using ELK.
For point 1, either in your logstash.yml file, you can set
config.reload.automatic:true
Or, while executing logstash with conf file, run it like:
bin/logstash -f conf-file-name.conf --config.reload.automatic
After doing either of these settings, you can start your logstash and from now on any change you make in conf file will be reflected back.
2. If above isn't possible and I edit the config file then restart logstash - it won't reindex the entire cars file will it?
If you use sincedb_path => "/dev/null", Logstash won't remember where is has stopped reading a document and will reindex it at each restart. You'll have to remove this line if you wish for Logstash to remember (see here).
3.How do I format the config for multiple styles of log file.
To support multiple style of log files, you can put tags on the file inputs (see https://www.elastic.co/guide/en/logstash/5.5/plugins-inputs-file.html#plugins-inputs-file-tags) and then use conditionals (see https://www.elastic.co/guide/en/logstash/5.5/event-dependent-configuration.html#conditionals) in your file config.
Like this:
file {
path => "/opt/cars.csv"
start_position => "beginning"
sincedb_path => "/dev/null"
tags => [ "csv" ]
}
file {
path => "/opt/logs/orders.log"
start_position => "beginning"
sincedb_path => "/dev/null"
tags => [] "log" ]
}
if csv in [tags] {
...
} else if log in [tags] {
...
}
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.
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"]
}
I am using logstash to analyze multiple types of logs that have different structures. "prodlog" and "access_log" in the below.
Following is my logstash configuration:
input {
file {
type => "prodlog"
# Wildcards work, here :)
path => [ "/root/isaac/my_logs/*log*"]
start_position => "beginning"
}
file {
type => "access_log"
# Wildcards work, here :)
path => [ "/root/isaac/my_logs/access_logs/gw_access_log*"]
start_position => "beginning"
}
}
filter {
if [type] == "prodlog" {
grok {
type => "prodlog"
patterns_dir => "/root/isaac/logstash/patterns"
pattern => "%{TIMESTAMP_ISO8601:log_timestamp} %{LOGLEVEL:log_level}%{SPACE} \[%{JAVACLASS:class}\] %{DATA:thread} - .*"
}
}
if [type] == "access_log" {
grok {
type => "access_log"
patterns_dir => "/root/isaac/logstash/patterns"
pattern => "\[%{DATA:my_timestamp}\] %{IP:client} %{WORD:method} %{URIPATHPARAM:request} \[%{DATA:auth_data}\] \[%{DATA:another_timstamp}\] %{NUMBER:result_code} %{NUMBER:duration} %{NUMBER:bytes}"
}
}
}
output {
stdout { debug => true }
elasticsearch { embedded => true }
}
Is it possible from the Kibana GUI that comes built-in with elasticsearch to create multiple dashboards instead of having the whole data mixed in the same dashboard?
Ideally each dashboard would be accessed with its own URL from the kibana home page.
Thx in advance.
If you want to create a new dashboard, save the one that you are using with a different name. After that, if you click over the folder icon, you should see two dashboards, the one that you have before and the other that you have just saved.
I think it is like that to create new dashboards, but I can not access now to a Kibana to test.