dataset:<set|unset|isset|isnotset>,<name> \
[, type <string|md5|sha256|ipv4|ip>, save <file name>, load <file name>, state <file name>, memcap <size>, hashsize <size>
- , format <csv|json>, enrichment_key <output_key>, value_key <json_key>, array_key <json_path>];
+ , format <csv|json|jsonline>, enrichment_key <output_key>, value_key <json_key>, array_key <json_path>];
type <type>
the data type: string, md5, sha256, ipv4, ip
format <type>
the format of the file: csv, json. Defaut to csv. See
:ref:`dataset with json format <datasets_json>` for json
- option
+ and jsonline option
enrichment_key <key>
the key to use for the enrichment of the alert event
for json format
DataJSON allows matching data against a set and output data attached to the matching
value in the event.
+There is two format supported: ``json`` and ``jsonline``. The difference is that
+``json`` format is a single JSON object, while ``jsonline`` is handling file with
+one JSON object per line. The ``jsonline`` format is useful for large files
+as the parsing is done line by line.
+
Syntax::
dataset:<cmd>,<name>,<options>;
dataset:<isset|isnotset>,<name> \
- [, type <string|md5|sha256|ipv4|ip>, load <file name>, format json, memcap <size>, hashsize <size>, enrichment_key <json_key> \
+ [, type <string|md5|sha256|ipv4|ip>, load <file name>, format <json|jsonline>, memcap <size>, hashsize <size>, enrichment_key <json_key> \
, value_key <json_key>, array_key <json_path>];
Example rules could look like::
If ``json_key`` is present then the data file has to contains a valid JSON object containing an array
where every elemeents have to contain a key equal to ``json_key``.
If ``array_key`` is present, Suricata will extract the corresponding subobject that has to be
-a JSON array.
+a JSON array. This is only valid for ``json`` format.
See :ref:`Datajson format <datajson_data>` for more information.