Getting Data In

Splunk unexpected timestamp parsing behavior



In my environment, I have set up an Universal Forwarder that is monitoring a single server .log file, which is then forwarded to a Splunk indexer instance for parsing etc. as a specific sourcetype(log4j). My Universal Forwarder configuration is as follows:

host = 1
index= targetIndex

On the indexer, I have noticed several issues, both with timestamp parsing and event breaking. As you can see in the following image, there are events mixed in with local timestamps dating 3 hours ago, but Splunk has assigned the current time for said event. On top of that, Splunk has made a separate event for the Headers: and Payload: entries, which should have been a part of the event below. Note that these events all come from the same host and all have the same sourcetype. alt text
For additional context, the following image visualizes the format of the .log file as seen on the forwarding instance. Note how there is a slight gap between the second event's Content-Type and Headers fields, which, I believe, is what is causing Splunk to assign it to a separate event.
alt text

Here is the props.conf that I currently have set on my indexer instance:

TIME_FORMAT=%Y-%m-%d %H:%M:%S.%3NZ

As well as the limits.conf, although, to my understanding, it shouldn't affect the parsing behavior:

max_rawsize_perchunk = 0

To summarize:

  1. Splunk is unexpectedly breaking up events;
  2. There are events dated back exactly 3 hours mixed in with current events;

Could this be a timezone issue? Both of the instances seem to have the same timezone (EEST), but there seem to be events dated back exactly 3 hours mixed in with current events. What could be the possible cause of this?

Thanks in advance!

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Re: Splunk unexpected timestamp parsing behavior


It looks to me like the TIMEFORMAT setting does not exactly match the sample data. Try `TIMEFORMAT = %Y-%m-%d %H:%M:%S,%3N`.

If this reply helps you, an upvote would be appreciated.

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Re: Splunk unexpected timestamp parsing behavior


Thank you very much, that did it!

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