Sumo's equivalent of Splunk eventstats?

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Antony Bowesman

• October 25, 2018 22:22

Is there a way to achieve different aggregations with different split by clauses without losing fields. In Splunk you would do this with eventstats rather than stats.

For example, if I want to find a peak rate of requests/minute of X, but want to find the 97th percentile of requests over the whole time range, I would need the following two

1. To get the peak request rate I would need something like

| timeslice 1m
| count as Count by _timeslice, X
| max(Count) as Peak by X

2. To get the percentile I would need

| pct(Y,97) as PCT97 by X

 but 2 cannot be done after 1, as Y is no longer available and 1 cannot be done after 2 as _messagetime is no longer available.

In Splunk you would use eventstats to do this. How is this done with Sumo?

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• Official comment

  

  Ryan Johnson

  • October 26, 2018 00:23

  Hi Antony,

  This is possible through our join operator, however I believe an equivalent (more elegant) method is in the works. 

  ...
  | timeslice 1m
  | count as Count by _timeslice
   
  // Join current table with pct result
  // Use the venerable `1 as tmp` trick for the join key. 
  | join (1 as tmp) as t1, 
         (pct(cnt, 97) as k_percentile 
  | 1 as tmp) as t2 on t1.tmp = t2.tmp 
  
  // Cleanup fields from join operator. 
  | t1__timeslice as _timeslice 
  | t1_cnt as cnt 
  | t2_k_percentile as k_percentile 
  | fields - t1__timeslice, t1_cnt, t1_tmp, t2_k_percentile, t2_tmp

  Feel free to ping me on the Slack channel if you have any further questions!

   

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