In the logs I upload to Kibana have a "mytimestamp" field, supposedly of type Date but when I inject the logs and parsed it in json, my timestamp is converted to type string.
Do you know how can I convert my timestamp field from String to Date thanks to Filebeat ?
I must necessarily use Logstash ?
Thank you :)
This doesn't sound like you have an issue. Field can be timestamp in Kibana, but when you fetch results with REST API from elasticsearch you will get timestamps as strings because JSON itself doesn't have timestamp format defined, so it's up to the application that is parsing it to decide what is date and parse it properly. None of the tools for log ingestion is going to help you in this case.
Related
Is there a way to update #timestamp in logstash so that microseconds are added?
In Kibana we've set the format to 'Date Nanos', but in logstash when we're using the date filter plug in to set #timestamp with the timestamp from the file, the microseconds seem to be ignored.
I think this is because the date filter plugin handles millisecond level accuracy, is this right? If so, what is the best way to set #timestamp to show the microseconds from the file being ingested?
Thanks
Sample from logstash file
date {
target => "#timestamp"
match => ["file_timestamp", "YYYY-MM-dd HH:mm:ss.SSSSSS"]
}
Format in Kibana
No, logstash only supports millisecond precision. When elasticsearch started supporting nanosecond precision no corresponding changes were made to logstash. There are two open issues on github requesting that changes be made, here and here.
The Logstash::Timestamp class only supports millisecond precision, because Joda, which it wraps, only supports milliseconds. Moving from Joda to native Java processing for time/date is mentioned in one of those issues. logstash expects [#timestamp] to be a Logstash::Timestamp (sprintf references assume this, for example)
You could use another field name, use a template to set the type to date_nanos in elasticsearch and process it as a string in logstash.
I am using AWS managed ELK setup (ver 6.4.3). As per my understanding, Kibana uses #timestamp field to sort the data.
I have a field by name 'ts' (in epoch millis). I want to convert the format of 'ts' to that of #timestamp and want to use 'ts' field as the default in place of #timestamp.
I tried searching about it. It was related to using templates but couldnt really understand much there!
It would be great if anyone could help me here with the same.
Thanks!
i have an issue which i suspect is quite basic but i have been stuck on this for too long and i fear i am missing something so basic that i can't see it by now.
we are using the ELK stack today for log analysis of our application logs.
logs are created by the JAVA application into JSON format, shipped using filebeat into logstash which in turn processes the input and queues it into ES.
some of the messages contain unstructured data in the message field which i currently cannot parse into separate fields so i need to catch them in the message field. problem is this:
the string i need to catch is: "57=1" this is an indication of something which i need to filter documents upon. i need to get documents which contain this exact string.
no matter what i try i can't get kibana to match this. it seems to always ignore the equal char and match either 57 or 1.
please advise.
thanks
You may check the Elasticsearch mapping on the field type of the referring field. If it is analyzed, the '=' may not have been indexed due to the default-analyzer. (source 1, source 2)
So im working on a system that logs bad data sent to an api and what the full request was. Would love to be able to see this in Kibana.
Issue is the datatypes could be random, so when I send them to the bad_data field it fails if it dosen't match the original mapping.
Anyone have a suggestion for the right way to handle this?
(2.X Es is required due to a sub dependancy)
You could use ignore_malformed flag in your field mappings. In that case wrong format values will not be indexed and your document will be saved.
See elastic documentation for more information.
If you want to be able to query such fields as original text you could use fields in your mapping for multi-type indexing, to get fast queries on raw text values.
I'm having some issues getting elasticsearch to interpret an epoch millis timestamp field. I have some old bro logs I want to ingest and have them be in the proper orders and spacing. Thanks to Logstash filter to convert "$epoch.$microsec" to "$epoch_millis"
I've been able to convert the field holding the bro timestamp to the proper length of digits. I've also inserted a mapping into elasticsearch for that field, and it says that the type is "Date" with the format being the default. However, when I go and look at the entries it still has a little "t" next to it instead of a little clock. And hence I can't use it for my filter view reference in kibana.
Anyone have any thoughts or have dealt with this before? Unfortunately it's a stand alone system so I would have to manually enter any of the configs I'm using.
I did try and convert my field "ts" back to an integer after using the method described in the link above. So It should be a logstash integer before hitting the elasticsearch mapping.
So I ended up just deleting all my mappings in Kibana, and elasticsearch. I then resubmitted and this time it worked. Must have been some old junk in there that was messing me up. But now it's working great!