{"script": "_value.substring(0,8)"} works for you, needing groovy sandbox 
enabled.


On Wednesday, April 29, 2015 at 9:39:33 PM UTC+8, Stuart Kenworthy wrote:
>
> I have a number of different load injector boxes and processes that 
> generate load through our system under test. The tool in use produces 
> masses of logs out but none of it is easily accessible or readable. I am 
> therefore using ELK to process the loads with success, however, presenting 
> some of the data is problematic.
>
> The process names have a structure of:
>
> <process>_<name>_Stress<nn>_Thread_<nn>
>
> but there are around 180 of them. Each process thread generates 1 of 11 
> different message types. The message types are only distinguishable using a 
> 10 character substring within a field containing strings and semi_colon 
> delimited text and generally in the same location (between character 60 and 
> character 70.
>
> In elasticsearch none of these fields are analysed as this makes the 
> queries and results even messier in Kibana and poses the same problem when 
> choosing analysed elements of a field (only picking element 1&2 or 10-12).
>
> When aggregation is done on either of these fields, "message type" is 
> presented as the long string in the visualisation key with only the first 
> 10-15 characters showing, and "process name" resutls in all 180 processes 
> rather than the 7 process types.
>
> These processes are likely to change over time as we introduce new test 
> scenarios and message types so I do not want to hard code them in just in 
> case we miss something.
>
> Is it possible to have elasticsearch return substrings, partials, lefts, 
> rights etc of a field and group them as such rather than the entire field 
> content so all <process>_<name>a are grouped together and *<msg_type>A* are 
> grouped together? Ideally without code edits to either elastic or kibana? 
> Something in JSON Input such as { "field_length": 10 } or { 
> "partial_start": 60, "partial_for": 15 } would suffice.
>
> This is akin to renaming keys, columns and rows.
>
> Thanks
>

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