Monitoring Splunk

How to calculate max and actual search concurrency

dexterp
Explorer

Note: I'm answering my own question here for posterity as I'm sure others will want to find the answer. I haven't seen anyone provide good solution to this question.

Question: How does one calculate actual search concurrency usage and overlay with maximum search concurrency.

Answer to follow.



0 Karma
1 Solution

dexterp
Explorer

The Answer.

The calculation for max concurrent searches is

(max_searches_per_cpu * cpu_count + base_max_searches) * num_search_members

where ...

  • max_searches_per_cpu - is a setting in limits.conf -> search stanza
  • cpu_count - is actual real cores not virtual cores
  • base_max_searches - is a setting in limits.conf -> search stanza
  • num_search_members - is the number search heads in the cluster

The calculation for actual concurrent searches

Data is in the _audit index

The logic consists of

  • find the start time of a search and increment the count +1
  • find the end time of a search and decrement the count -1
  • using streamstats one can achieve a running count
  • the start time is found by using _time=exec_time
  • the end time is found using _time=exec_time+total_run_time
  • use makemv and mvexpand to generate the start and end times

Example Timechart 

  • max concurrent searches is overlayed
  • search type is stacked

Screen Shot 2021-01-20 at 12.57.53 am.png

Search

  • Replace <search_heads> with your search head(s)

index=_audit action=search host=<search_heads> NOT "search_id='rsa_scheduler"
| fields - _raw
| eval search_type=case(match(search_id,"scheduler_"),"Scheduled",match(search_id,"SummaryDirector"),"Summarize")
| eval search_type=if(isnull(search_type),"Ad-Hoc",search_type)
| eval end_time=exec_time + total_run_time
| eval events=exec_time + " " + search_type + " 1:" + end_time + " " + search_type +" -1"
| fields _time events
| makemv delim=":" events
| mvexpand events
| rex field=events "(?<_time>\S+)\s+(?<type>\S+)\s+(?<incr>\S+)"
| fields - events
| sort 0 _time
| streamstats current=f sum(incr) as concur by type
| timechart span=30s first(concur) by type
| eval "max search concurrency" = [
    | rest /services/properties/limits/search/max_searches_per_cpu
    | fields splunk_server value
    | rename value as max_searches_per_cpu
    | append [
         | rest /services/properties/limits/search/base_max_searches
         | fields splunk_server value
         | rename value as base_max_searches
    ]
    | append [
        | rest splunk_server=<search_heads> /services/server/status/resource-usage/hostwide
        | eval cpu_count = if(isnull(cpu_count), "0", cpu_count)
        | fields splunk_server cpu_count
    ]
    | stats values(max_searches_per_cpu) as max_searches_per_cpu values(base_max_searches) as base_max_searches values(cpu_count) as cpu_count by splunk_server
    | eval instance_max_concurrent_searches = (max_searches_per_cpu * cpu_count + base_max_searches)
    | stats sum(instance_max_concurrent_searches) as max
    | return $max
]

Please Upvote if you fine helpful

View solution in original post

dexterp
Explorer

The Answer.

The calculation for max concurrent searches is

(max_searches_per_cpu * cpu_count + base_max_searches) * num_search_members

where ...

  • max_searches_per_cpu - is a setting in limits.conf -> search stanza
  • cpu_count - is actual real cores not virtual cores
  • base_max_searches - is a setting in limits.conf -> search stanza
  • num_search_members - is the number search heads in the cluster

The calculation for actual concurrent searches

Data is in the _audit index

The logic consists of

  • find the start time of a search and increment the count +1
  • find the end time of a search and decrement the count -1
  • using streamstats one can achieve a running count
  • the start time is found by using _time=exec_time
  • the end time is found using _time=exec_time+total_run_time
  • use makemv and mvexpand to generate the start and end times

Example Timechart 

  • max concurrent searches is overlayed
  • search type is stacked

Screen Shot 2021-01-20 at 12.57.53 am.png

Search

  • Replace <search_heads> with your search head(s)

index=_audit action=search host=<search_heads> NOT "search_id='rsa_scheduler"
| fields - _raw
| eval search_type=case(match(search_id,"scheduler_"),"Scheduled",match(search_id,"SummaryDirector"),"Summarize")
| eval search_type=if(isnull(search_type),"Ad-Hoc",search_type)
| eval end_time=exec_time + total_run_time
| eval events=exec_time + " " + search_type + " 1:" + end_time + " " + search_type +" -1"
| fields _time events
| makemv delim=":" events
| mvexpand events
| rex field=events "(?<_time>\S+)\s+(?<type>\S+)\s+(?<incr>\S+)"
| fields - events
| sort 0 _time
| streamstats current=f sum(incr) as concur by type
| timechart span=30s first(concur) by type
| eval "max search concurrency" = [
    | rest /services/properties/limits/search/max_searches_per_cpu
    | fields splunk_server value
    | rename value as max_searches_per_cpu
    | append [
         | rest /services/properties/limits/search/base_max_searches
         | fields splunk_server value
         | rename value as base_max_searches
    ]
    | append [
        | rest splunk_server=<search_heads> /services/server/status/resource-usage/hostwide
        | eval cpu_count = if(isnull(cpu_count), "0", cpu_count)
        | fields splunk_server cpu_count
    ]
    | stats values(max_searches_per_cpu) as max_searches_per_cpu values(base_max_searches) as base_max_searches values(cpu_count) as cpu_count by splunk_server
    | eval instance_max_concurrent_searches = (max_searches_per_cpu * cpu_count + base_max_searches)
    | stats sum(instance_max_concurrent_searches) as max
    | return $max
]

Please Upvote if you fine helpful

Get Updates on the Splunk Community!

What's New in Splunk Enterprise 9.4: Features to Power Your Digital Resilience

Hey Splunky People! We are excited to share the latest updates in Splunk Enterprise 9.4. In this release we ...

Take Your Breath Away with Splunk Risk-Based Alerting (RBA)

WATCH NOW!The Splunk Guide to Risk-Based Alerting is here to empower your SOC like never before. Join Haylee ...

SignalFlow: What? Why? How?

What is SignalFlow? Splunk Observability Cloud’s analytics engine, SignalFlow, opens up a world of in-depth ...