Hello everyone,
I imported an .csv file with filebeat and in logstash config file I created this filter:
filter {
csv {
separator => ","
columns => ["ID","Name","Age","Photo","Nationality","Flag","Overall","Potential","Club","Club Logo","Value","Wage","Special","Preferred Foot","International Reputation","Weak Foot","Skill Moves","Work Rate","Body Type","Real Face","Position","Jersey Number","Joined","Loaned From","Contract Valid Until","Height","Weight","LS","ST","RS","LW","LF","CF","RF","RW","LAM","CAM","RAM","LM","LCM","CM","RCM","RM","LWB","LDM","CDM","RDM","RWB","LB","LCB","CB","RCB","RB","Crossing","Finishing","HeadingAccuracy","ShortPassing","Volleys","Dribbling","Curve","FKAccuracy","LongPassing","BallControl","Acceleration","SprintSpeed","Agility","Reactions","Balance","ShotPower","Jumping","Stamina","Strength","LongShots","Aggression","Interceptions","Positioning","Vision","Penalties","Composure","Marking","StandingTackle","SlidingTackle","GKDiving","GKHandling","GKKicking","GKPositioning","GKReflexes","Release Clause"]
}
}
My question is: how can I do create for each field of row a separate field
ready to be use directly in an elasticsearch query?
For example:
I have imported this table :
ID - Name - Age
0 - John - 24
1 - Mark- 21
2 - Anthony- 30
Filebeat returned me this JSON:
{
"_index": "filebeat-6.5.4-2019.01.21",
"_type": "doc",
"_id": "ZwK2cGgB2IyobF7dIj_Q",
"_version": 1,
"_score": null,
"_source": {
"input": {
"type": "log"
},
"@version": "1",
"message": "0,John,24",
"offset": 9120600,
"prospector": {
"type": "log"
}
}
and in the "message" field I have all the fields of the first row...
I would like to have in the JSON a field named "age" with value 24, a field named "myid" with value 0and a field named "name" with value John.
{
"_index": "filebeat-6.5.4-2019.01.21",
"_type": "doc",
"_id": "ZwK2cGgB2IyobF7dIj_Q",
"_version": 1,
"_score": null,
"_source": {
"input": {
"type": "log"
},
"@version": "1",
"message": "0,John,24",
"age": 24,
"myid": 0,
"name": "John",
"offset": 9120600,
"prospector": {
"type": "log"
}
}
Thank's in advance for the replies!