Advanced DBA – Performance Tuning for MUF Part I

World®’16

AdvancedDBA– PerformanceTuningforMUFPartIKevinShumaVP,ProductManagementCATechnologies

MAINFRAMEANDWORKLOADAUTOMATION

MFX66EA

2 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD

Abstract

ThisisatwopartsessionthatdescribesthevarioustechniquesusedtotuneaCADatacomenvironment(MUF)forthebestpossibleperformance.Includedwillbediscussionsonavailablemonitoringtools.

ThesessionwillcovervariousutilitiesandtollsprovidedwithCADatacom®/DBandCASysview®tomeasuretheperformanceofCADatacomenvironments.

KevinShuma

VP,ProductManagement

CATechnologies


Agenda

ITUNEDLASTYEARWHYDOITAGAIN?

WHATDRIVESTCO?

TECHNIQUESTOMEASUREPERFORMANCE

SUMMARY

1

2

3

44


ITunedLastYearWhyDoItAgain?

§ Hardwarechanges– IBMz13- TheProcessorUnitchip(PUchip)measures678 mm2

andconsistsof3.99billiontransistorsfabricatedusingIBM's22nmCMOSsilicononinsulatorfabricationprocess,using17metallayersandsupportingspeedsof5.2 GHz,whichislessthanitspredecessor,thezEC12.[3][5]ThePUchipcanhavesix,sevenoreightcores(or"processorunits"inIBM'sparlance)enableddependingonconfiguration.Newforthez13isthatthePUchipcomespackagedinsinglechipmodules,whichisabigchangefromallpreviousmainframeprocessorsthatweremountedonlargemulti-chipmodules.

HowoftendoIneedtotune?

It’sreallyfast



§ OperatingSystemchanges– IBM'sz/OS®V2.2operatingsystemandlatestIBM®z13server

deliverinnovationsdesignedtohelpyoubuildthehighlyscalablenext-generationinfrastructureyouneed.Together,theyofferthecapacity,scale,availability,andthroughputrequiredtoimprovebusinessperformance,meetresponsetimeobjectives,protectsensitivedataandtransactions,andminimizeoperationalriskforanexceptionalcustomerexperience.Neweconomicefficienciesallowthez13withz/OSV2.2tooffermorethroughputandcapabilitieswithlessimpacttotheITbudget.


It’sreally complex



§ DatabaseSoftwarechanges– CADatacomV14.02andv15.0deliveredover50major

enhancementsthatmostlikelywilldirectlyaffecthowyoudatabaseapplicationsrun.


It’sreallydifferent


ThatSoundsReallyScary!

§ Itis,andyetitisn’t

§ Understandingwhatdrivesyourbusinessandhowthatbusinessrelatestothedatabaseapplicationshelpstoestablishthetotalcostofownership(TCO)

§ TCOcanbedifferentforeverysite– Butinmostcases,mainframesitesshareasetoftypicallyTCOdrivers

§ OneconstantismainframeistheneedtodrivedownTCO



WhatdrivesTCO?


WhatDrivesTCO?

§ HardwareandsoftwarechargesbasedonCPUconsumption– TypicallybasedonpeakCPU(MSUs)useduringameasuredperiod

§ IBMspecialty(zIIP)processorsnotincluded– IBMWorkloadLicenseChargesarebasedon4houraverages

CriticalfactorsformainframeTCO

WhilereducingCPUingeneralisgood,

focusingonthepeakperiodsisbetter


WhatDrivesTCO?(cont’d)

§ Memorytypicallymeasuredasa“overheadcost”– Costtypicallyspreadacrossalltasks– CanbeusedtoreduceIO,andthereforereduceCPU– Ifoverused,candriveupCPUintheformofsystempaging

§ PhysicalIOtypicallynotmeasuredasa“cost”– ButitconsumesCPUforeachIOused– Notavailablefordispatchingonspecialtyprocessor



WhatDrivesTCO?(cont’d)

§ DASDStorage– PhysicalcostsforDASD“onthefloor”– Relativelylow-costresource,but– Theamountofdataisgrowing– Mostshopsareseeinganever-increasingDASDfootprint



HowtomeasureTCO?(cont’d)

§ BusinessValueMetrics- CPU– RequestsperCPU

§ 650,000rq/(600CPCPU)=1083rqpertotalCPU

§ AdjustedvaluewithzIIPCPUata%ofCPCPU– BusinessrateszIIPatacostof10%ofCP

§ Requests/(CPCPU+(zIIPCPU*.1))§ 650,000rq/(50+(550*.1))§ 650,000rq/(105)=6190rqperadjustedCPU

MeasuringdatabaseactivityasaTCO



§ Rememberthisgraph?– ItisnotjustCPUbutCPUuseatthe“highperiods”– zIIPdoesnotcounttowardstheseperiods




§ BusinessValueMetrics- IO– RequestsperIO

§ 650,000rq/(60,000IOs)=10.83rqperIO

§ (?)BusinessValueMetrics– DASDinuse– RequestperMB,TB,other?– Notsomethingregularlymeasured– Shoulditbe?



What’sinYourToolbox?

§ Trustedandtrue– PXXreport

§ Newandshiny– Dynamicsystemtables

§ Everythingyoucanfind– AutoInfo,AutoStatus,AutoCollect,Autoanything…

Whattoolsareyouusing?Whattoolsareavailable?


What’sinYourToolbox?

§ Itdoesn’tmatteraslongasitmeetsyourgoals?

§ ImprovedperformanceofCADatacom– Whichshouldresultinreducedresourceconsumption(perrequest)– WhichshouldresultinareductionintheTotalCostofOwnership

Whattoolsareyouusing?Whattoolsareavailable?


Techniquestomeasureperformance


Techniquestomeasureperformance

§ Whatresourcesarebeingconsumed

§ Whataretheperformancemetrics

§ Whatarethe“keyconsiderations”– CPUconsumption– Resourceutilization– Responsetime– Locking/Logging/recovery– DASDIOs– More…

Beforeyoucanimprove,youneedtoknowwhattomeasure


Knowingwhattheenvironmentisdoing

§ ResourceconsumptionsinceMUFcameup– Generalindicationof“health”– Indicationofhigh-useortroublespots

§ Performancebenchmarkorbaseline– Alwaystakesnapshotatthe“same”period– Whenproblemsoccur:

§ Doaquickscanofsnapshotfortroublespots§ Comparecurrentsnapshotagainst“healthysnapshot”

– Lookfordifferences

ThePerformanceSnapshot


“One-time”performancesnapshot– variousoptions

§ DBUTLTYAUTOINFO(AutoInfo)– Printedreport– Optionforsequentialoutputreadytouploadintospreadsheet

§ ConsolecommandALL_INFO_REPORT– GeneratesoutputtoPXXorPXXSYSOUTdatasets– SimilartoMUFEOJplusPXXSUMMARYreport

Quickandeasy


“One-time”performancesnapshot– variousoptions(cont’d)

§ MUFEOJSYSPRINT– PrintedtoSYSPRINTatMUFendofjob

§ PXXSYSSTAT=SUMMARY– OndemandrequiresPXXSTATS=DETAIL– PXXSTATS=EOJorEOJPRTonlyavailableatMUFEOJ


“One-time”performancesnapshot– comparison


Automatedperformancesnapshotsanddeltas

§ AutoCollect– Automatedsnapshotcollection

§ SimilardataasAutoInfo§ DataplacedinasetofDatacomtables(DBID1019)

– Automatedcreationof“deltas”§ DataplacedinasetofDatacomtables(DBID1020)

– Interval- Differencebetweensnapshots– Last– Differencebetween1stsnapshotandlastsnapshot

DBUTLTYAUTOCOLL


Automatedperformancesnapshotsanddeltas

§ AutoCollect– On-demandusercreateddeltas

§ Summary– combiningdeltastogether§ Baseline– combinedeltastogetheranddividetogetanaveragebaseline§ Averageperformance– combinedeltasandcalculateaverage“hour”ofperformance

DBUTLTYAUTOCOLL


SamplesfromAutoCollectusedtomaptopeakperiods


Interactiveperformancemeasurements

§ CASYSVIEWforCADatacom– DynamicallyfindsallCADatacomMUFs

§ RetrieveskeyinformationontheMUFaddressspaces§ IntegratedwiththeCADatacomDynamicSystemsTables§ Displaysreal-timedataforproblemsolving§ Accesstohistoricalandperformancemetricsfortuning§ QuickestwaytomeasureaperformancechangewhileMUFisactive

– Batchcapabilitiesallowthecollectionofmetrics

Real-timeperformanceinformation


CASYSVIEWreal-timeperformancemonitors


SummaryAFewWordstoReview

Results– PartIWeaddressedtheneedtoregularlymonitorperformancetoimproveTCO.Wediscussedvariouson-demandandautomatedcapabilitiestobuildperformancebaselines.Wehighlightedcertainkeymeasurementsthatcanbeusedtodetermineif“deepdive”tuningisneeded.

InpartII,wewillgothroughaseriesofperformancepracticesthatcanbeappliedtoDatacomenvironmentstomeasureperformanceandleadtoimprovedTCO.

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MainframeandWorkloadAutomation

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Advanced DBA – Performance Tuning for MUF Part I