[jira] [Updated] (GEODE-7184) Add function execution timers

["Aaron Lindsey (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/GEODE-7184?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Aaron Lindsey updated GEODE-7184:
---------------------------------
    Summary: Add function execution timers  (was: Add function executions timer)

> Add function execution timers
> -----------------------------
>
>                 Key: GEODE-7184
>                 URL: https://issues.apache.org/jira/browse/GEODE-7184
>             Project: Geode
>          Issue Type: Improvement
>            Reporter: Aaron Lindsey
>            Assignee: Aaron Lindsey
>            Priority: Major
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> Developers oftentimes deploy their own functions to the system to enable decorator pattern for caching to add information to specific key/value pairs. In doing so, they can introduce bottlenecks into the system where server-side functions can cause issues or make things slower than intended. We want a way that users can view functions that they create, and see what the average execution time looks like.
>  * *Meter Type*: Timer
>  * *Name*: geode.function.executions
>  * *Description*: TBD
>  * *Tags*: <common_tags>, function (getId on function, if DNE present getClass.getname of deployed function), succeeded (true/false)
> h3. Acceptance Criteria
> *Meter creation/deletion*: Create meter on function execution
> *Measurement*: On an individual server, start the timer when a *USER* function is invoked/executed, and stop the timer when the user function completes OR errors. If it throws a Function Execution or another error then the tag function.isSuccessful=false
> Details on Functions and their execution: [https://geode.apache.org/docs/guide/110/developing/function_exec/function_execution.html]
> h3. Scenarios
> *Scenario: The timers are created when the function is first executed*
> Given a user executed a function with ID functionToTime on a cluster with 1 locator/1 server
> And functionToTime has not been executed previously
> Then the server has the following timer:
> - name: geode.function.executions
> - tag: id = functionToTime
> - tag: succeeded = true
> - count > 1
> - totalTime >= 5,000,000,000ns
> And the server has the following timer:
> - name: geode.function.executions
> - tag: id = functionToTime
> - tag: succeeded = false
> - count = 0
> - totalTime = 0
> *Scenario: Successful singular function execution (registered execution)*
> Given a user registers a function with ID functionToTime (that waits for 5 seconds) on a cluster with 1 locator/1 server
> When functionToTime is triggered using gfsh command: "execute function --id=functionToTime"
> And the function completes without error
> Then the server has the following timer:
> - name: geode.function.executions
> - tag: id = functionToTime
> - tag: succeeded = true
> - count = 1
> - totalTime >= 5,000,000,000ns
> *Scenario: Successful singular function execution (unregistered execution)*
> Given an unregistered function with ID functionToTime (that waits for 5 seconds) exists 
> When triggered on a client using  "FunctionService.onServers(cache).execute(new FunctionToTime())"
> And the function completes without error
> Then the server has the following timer:
> - name: geode.function.executions
> - tag: id = functionToTime
> - tag: succeeded = true
> - count = 1
> - totalTime >= 5,000,000,000ns
> *Scenario: Singular function execution with Any Exception*
> Given an unregistered function with ID functionToTime (that waits for 5 seconds) exists 
> When triggered on a client using  "FunctionService.onServers(cache).execute(new FunctionToTime())"
> And the function exits with a Any exception error after running for 5 seconds
> Then the server has the following timer:
> - name: geode.function.executions
> - tag: id = functionToTime
> - tag: succeeded = false
> - count = 1
> - totalTime >= 5,000,000,000ns
> *Scenario: Function execution onRegion multi-server*
> Given a cluster with 1 locator (named L1) as well as 2 servers (named S1,S2)
> And a region called RR1 that is a replicate region
> When a function execution is triggered against that replicate region using  "FunctionService.onRegion(regionRR1).execute(new FunctionToTime())"
> Then one server has the following timer:
> - name: geode.function.executions
> - tag: id = functionToTime
> - tag: succeeded = true
> - count = 1
> - totalTime >= 5,000,000,000ns
> And the other server has the following timer:
> - name: geode.cache.function.executions
> - tag: id = functionToTime
> - tag: succeeded = true
> - count = 0
> - totalTime = 0
> *Scenario: Function execution onRegion with partition region multiple times*
> *Scenario: Function execution onRegion multi-server*
> Given a cluster with 1 locator (named L1) as well as 2 servers (named S1,S2)
> And a partition region called PR1 that only exists on S1
> When a function execution is triggered 10 times against that replicate region using  "FunctionService.onRegion(regionPR1).execute(new FunctionToTime())"
> Then S1 has the following timer:
> - name: geode.function.executions
> - tag:id = functionToTime
> - tag:succeeded = true
> - count = 10
> And S2 has the following timer:
> - name: geode.cache.function.executions
> - tag:id = functionToTime
> - tag:succeeded = true
> - count = 0
> *Scenario: Function execution onRegion with replicate region multiple times*
> *Scenario: Function execution onRegion multi-server*
> Given a cluster with 1 locator (named L1) as well as 2 servers (named S1,S2)
> And a replicate region called RR1 exists
> When a function execution is triggered 10 times against that replicate region using  "FunctionService.onRegion(regionRR1).execute(new FunctionToTime())"
> Then when you aggregate both S1 and S2 server metrics for geode.function.executions with id:functionToTime with succeeded:true then the total count of the aggregate will be 10



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