Monitoring Splunk

How to find out the high memory usage searches on the Splunk search heads?

abhisplunk1
Explorer
 
Labels (1)
0 Karma
1 Solution

NareshKilaru
Engager

You can use the introspection search to find out the high memory consuming searches

 

index=_introspection sourcetype=splunk_resource_usage data.search_props.sid::* data.search_props.mode!=RT data.search_props.user!="splunk-system-user"
| eval process = 'data.process'
| eval args = 'data.args'
| eval pid = 'data.pid'
| eval ppid = 'data.ppid'
| eval elapsed = 'data.elapsed'
| eval mem_used = 'data.mem_used'
| eval mem = 'data.mem'
| eval pct_memory = 'data.pct_memory'
| eval pct_cpu = 'data.pct_cpu'
| eval sid = 'data.search_props.sid'
| eval app = 'data.search_props.app'
| eval label = 'data.search_props.label'
| eval type = 'data.search_props.type'
| eval mode = 'data.search_props.mode'
| eval user = 'data.search_props.user'
| eval role = 'data.search_props.role'
| eval label = if(isnotnull('data.search_props.label'), 'data.search_props.label', "")
| eval provenance = if(isnotnull('data.search_props.provenance'), 'data.search_props.provenance', "unknown")
| eval search_head = case(isnotnull('data.search_props.search_head') AND 'data.search_props.role' == "peer", 'data.search_props.search_head', isnull('data.search_props.search_head') AND 'data.search_props.role' == "head", "_self", isnull('data.search_props.search_head') AND 'data.search_props.role' == "peer", "_unknown")
| eval search_label = if('label'!="", 'label', 'sid')
| eval instance = if(isnotnull(dns_alt_name), dns_alt_name, host)
| stats max(elapsed) as runtime max(mem_used) as mem_used earliest(_time) as _time by search_label, provenance, type, mode, app, role, user, instance
| eval mem_used = round(mem_used, 2)
| sort 20 - mem_used, runtime
| eval runtime = tostring(round(runtime, 2), "duration")
| fields search_label, provenance, mem_used, instance, runtime, _time, type, mode, app, user, role
| eval _time=strftime(_time,"%+")
| rename search_label as Name, provenance as Provenance, mem_used as "Memory Usage (KB)", instance as Instance, runtime as "Search Duration", _time as Started, type as Type, mode as Mode, app as App, user as User, role as Role
| appendpipe
[ stats count
| eval Name="data unavailable"
| where count==0
| table Name ]

View solution in original post

abhisplunk1
Explorer

Thankyou This is what I am looking for.

0 Karma

NareshKilaru
Engager

You can use the introspection search to find out the high memory consuming searches

 

index=_introspection sourcetype=splunk_resource_usage data.search_props.sid::* data.search_props.mode!=RT data.search_props.user!="splunk-system-user"
| eval process = 'data.process'
| eval args = 'data.args'
| eval pid = 'data.pid'
| eval ppid = 'data.ppid'
| eval elapsed = 'data.elapsed'
| eval mem_used = 'data.mem_used'
| eval mem = 'data.mem'
| eval pct_memory = 'data.pct_memory'
| eval pct_cpu = 'data.pct_cpu'
| eval sid = 'data.search_props.sid'
| eval app = 'data.search_props.app'
| eval label = 'data.search_props.label'
| eval type = 'data.search_props.type'
| eval mode = 'data.search_props.mode'
| eval user = 'data.search_props.user'
| eval role = 'data.search_props.role'
| eval label = if(isnotnull('data.search_props.label'), 'data.search_props.label', "")
| eval provenance = if(isnotnull('data.search_props.provenance'), 'data.search_props.provenance', "unknown")
| eval search_head = case(isnotnull('data.search_props.search_head') AND 'data.search_props.role' == "peer", 'data.search_props.search_head', isnull('data.search_props.search_head') AND 'data.search_props.role' == "head", "_self", isnull('data.search_props.search_head') AND 'data.search_props.role' == "peer", "_unknown")
| eval search_label = if('label'!="", 'label', 'sid')
| eval instance = if(isnotnull(dns_alt_name), dns_alt_name, host)
| stats max(elapsed) as runtime max(mem_used) as mem_used earliest(_time) as _time by search_label, provenance, type, mode, app, role, user, instance
| eval mem_used = round(mem_used, 2)
| sort 20 - mem_used, runtime
| eval runtime = tostring(round(runtime, 2), "duration")
| fields search_label, provenance, mem_used, instance, runtime, _time, type, mode, app, user, role
| eval _time=strftime(_time,"%+")
| rename search_label as Name, provenance as Provenance, mem_used as "Memory Usage (KB)", instance as Instance, runtime as "Search Duration", _time as Started, type as Type, mode as Mode, app as App, user as User, role as Role
| appendpipe
[ stats count
| eval Name="data unavailable"
| where count==0
| table Name ]

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