The data stored in Humio are called events. An event is a piece of data and an associated timestamp.
Examples of events include:
but ANY piece of data with an associated timestamp can be thought of as an event.
When data is sent to Humio - in this example a log line - the associated parser converts the data into an event. If Humio received
[2018-10-11 22:00:10] INFO - User Logged In. userId=97110
This might be turned into an event data containing the following fields:
|@rawstring||[2018-10-11 22:00:10] INFO - User Logged In. userId=97110|
|message||User Logged In.|
There are three types of fields
Each event has some metadata attached to it on ingestion; all events will
Notice that metadata fields start with all
@ to make them easy to identity.
The two most important are
@rawstring and will be
described in detail below.
Tags fields define how events are physically stored and indexed. They are also used for speeding up queries.
Users can associate custom tags as part of the parsing and ingestion process but
their use is usually very limited. The only built-in tags are
both are described in detail below.
Usually the client sending data to Humio will be configured to include
#source tags that contain the hostname and file that the event was read from.
Any field that is not a tag or metadata is a user field. They are extracted at ingest by a parser or at query time by a regular expression. User fields are usually the interesting part of an event, containing application specific information.
Humio represents the original text of the event in the
One of the greatest strengths of Humio is that it keeps the original data and nothing is thrown away at ingest. This allows you to do free-text searching across all logs and to extract virtual fields at query time for parts of the data you did not even know would be important.
The timestamp of an event is represented in the
@timestamp field. This field
defines where the event is stored in Humio’s database and is what defines
wether an event is included in search results when searching a time range.
The timestamp needs special treatment when parsing incoming data during ingestion.
The type field is the name of the parser used to ingest the data.