Create a TimeStamp without having a real Date from a csv with a time-index

[S3nda8a]

Hello there,
i want to visualize a lot of old csv files.
The files contains a lot of data each.

Structure:
Time;DataSet1;[...];DataSet48
0.009618018;[...];0
0.019466060;[...];1
[...]
720.946525393;[...];0.012807

The Time-base are seconds. Beginning at the moment the file was created.

My logstash.conf looks like this:

filter {
csv {
separator => ";"
columns => ["Time","DataSet1",[...],[DataSet48]]
convert => {"Time" => "float"}
convert => {"DataSet1" => "float"}
[...]
convert => {"DataSet48" => "float"}
}
date{
match => ["Time", "s.SSSSSSSSS"]
target => "timestamp"
}
}

output{
elasticsearch {
action => "index"
hosts => "localhost"
index => "cv"
workers => 1
}
stdout { codec => rubydebug }
}

Everything is loaded without error. So far so good.

My Problem:
There is a huge mismatch in the timestamp. I got 6.000 entries on Jan. 1st 2017 from 00:00 o'clock to 00:01 o'clock. I can't find any data entry with a "Time" older than 59.999999999.

Is it possible to convert my "Time" in something that Kibana can visualize with all of my data?

Greetings S3

[magnusbaeck (Magnus Bäck)]

What do your time values mean? What is the time relative to?

[S3nda8a]

The values are seconds with a lot of decimal and start at zero when the file was created / the machine stared to do its stuff.

[magnusbaeck (Magnus Bäck)]

There's nothing built-in for this but I suppose you could use a ruby filter to check the creation time of the input file (the path to which can be found in the path field) and add that time to the first column.