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Domino Performance -Best Practices
Copyright (c) 2004 Kim Greene Consulting, Inc.. All rights reserved worldwide.
Kim Greenekim@kimgreene.comwww.kimgreene.com
2Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Introduction - Kim Greene
President of Kim Greene ConsultingPresident of Kim Greene ConsultingServices offered include:Services offered include:ƒƒSystem and application tuningSystem and application tuningƒƒEnterprise integrationEnterprise integrationƒƒDomino developmentDomino developmentƒƒCustomized education and trainingCustomized education and trainingƒƒTechnical writingTechnical writing
Member of Penumbra GroupMember of Penumbra Groupƒƒwww.penumbra.orgwww.penumbra.org
3Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
What We'll Cover...
Domino memory management Domino memory management ƒƒNSF buffer poolNSF buffer poolƒƒDBcacheDBcacheƒƒDpoolDpool
Mail file performanceMail file performanceƒƒSize of mail filesSize of mail filesƒƒImpact from number of documentsImpact from number of documentsƒƒFull text indexes and searchingFull text indexes and searchingƒƒQuickRulesQuickRules
4Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
What We'll Cover...
Additional performance best practicesAdditional performance best practicesƒƒLPARLPARƒƒDomino release levelsDomino release levelsƒƒTransaction loggingTransaction logging
5Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
6Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
How Domino divides main storageHow Domino divides main storageƒƒDomino has it’s own memory pools/buffersDomino has it’s own memory pools/buffersƒƒMemory subpools are dynamically adjusted by Memory subpools are dynamically adjusted by DominoDomino
NSF Buffer
DB Cache
Apps Users
7Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
NSF Buffer Pool NSF Buffer Pool –– what it doeswhat it does
NSF Buffer PoolNIF Disk
8Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
NSF Buffer Pool NSF Buffer Pool –– how size is sethow size is setƒDomino R5
ƒSet to 300 MB by default on iSeriesƒDomino 6
ƒSet to 748 MB by default on iSeriesƒƒRecommend setting based on actual server Recommend setting based on actual server needsneedsƒƒUseUse Show Stat DatabaseShow Stat Database command to view command to view statisticsstatistics
9Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
Domino database statisticsDomino database statisticsDatabase.Database.BufferPool.Maximum.MegabytesDatabase.Database.BufferPool.Peak.MegabytesDatabase.Database.BufferPool.PercentReadsInBuffer
Want >= 95%
Database.DbCache.CurrentEntriesNumber of entries in the database cache
Database.DbCache.HighWaterMarkPeak number of entries in db cache since Domino server was started
Database.DbCache.MaxEntriesNumber of databases that can be cached
Database.DbCache.OvercrowdingRejections
10Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
Customer example Customer example –– looking goodlooking good
Database.Database.BufferPool.Maximum.Megabytes = 710Database.Database.BufferPool.Peak.Megabytes = 708Database.Database.BufferPool.PercentReadsInBuffer = 98.12Database.DbCache.CurrentEntries = 71Database.DbCache.HighWaterMark = 256Database.DbCache.MaxEntries = 300Database.DbCache.OvercrowdingRejections = 0
11Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
Customer example Customer example –– looking very bad looking very bad Database.Database.BufferPool.Maximum.Megabytes = 170Database.Database.BufferPool.Peak.Megabytes = 168Database.Database.BufferPool.PercentReadsInBuffer = 95.44Database.DbCache.CurrentEntries = 510Database.DbCache.MaxEntries = 510Database.DbCache.OvercrowdingRejections = 8385
Huge problem!
Options:Increase NSF buffer pool sizeSet NSF_DbCache_MaxEntries
12Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
NSF_Buffer_Pool_Size_MBNSF_Buffer_Pool_Size_MBƒƒ What to monitor when fine tuningWhat to monitor when fine tuning
1. Database.BufferPool.PercentReadsInBuffer >= 95%2. Non-database page faulting = < 100 faults/processor3. Database cache size
° Database.DbCache.MaxEntries = 3 X BufferPool4. View sizes
° Faulting can occur with NSF buffer pool set too small
13Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
Two key notes.ini parameters affect Two key notes.ini parameters affect Domino memory managementDomino memory management
ƒƒNSF_Buffer_Pool_Size_MBNSF_Buffer_Pool_Size_MBƒƒPercentAvailSysResources PercentAvailSysResources
Other Domino memory buffers are Other Domino memory buffers are allocated based on these parametersallocated based on these parameters
14Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
PercentAvailSysResourcesPercentAvailSysResourcesƒƒIntroduced in R5.0.4Introduced in R5.0.4ƒƒControls % of memory resources Controls % of memory resources available to Domino serveravailable to Domino server
oValid values = 2% to 100%o Memory available depends on where Domino server is executing
ƒƒAllows dynamic adjustment of buffer Allows dynamic adjustment of buffer sizessizes
15Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
NSF_Buffer_Pool_Size_MBNSF_Buffer_Pool_Size_MBƒƒStatic setting of NSF buffer poolStatic setting of NSF buffer poolƒƒUse in combination with Use in combination with PercentAvailSysResourcesPercentAvailSysResources°PercentAvailSysResources won’t override NSF_Buffer_Pool_Size_MB setting
16Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
Notes_SHARED_DPOOLSIZENotes_SHARED_DPOOLSIZEƒƒDPOOL is memory pool used by DominoDPOOL is memory pool used by DominoƒƒControls minimum memory size allocated by Domino Controls minimum memory size allocated by Domino from the DPOOLfrom the DPOOL
ƒƒUse Domino console command Use Domino console command SHOW MEMORY SHOW MEMORY DUMPDUMP
°Dumps information to a stream file°Look for the following:
Number of DPOOLs Percent used in each DPOOLNumber of free space searchesNumber of search failures
17Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Memory Management
Two ways to set the Dpool allocation sizeTwo ways to set the Dpool allocation sizeƒƒSet variable in notes.ini fileSet variable in notes.ini file
°Notes_SHARED_DPOOLSIZE=1048576Sets for specific Domino server
ƒƒAdd environment variable (iSeries):Add environment variable (iSeries):°ADDENVVAR ENVVAR(Notes_SHARED_DPOOLSIZE) VALUE(1048576) LEVEL(*SYS)
Sets for ALL Domino servers
18Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Mail Performance
19Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Watch Size of Mail Files
Mail file size can have dramatic impact Mail file size can have dramatic impact on performanceon performance100 MB mail file as baseline100 MB mail file as baseline
ƒƒAdditional 10% CPU for each 100 MBAdditional 10% CPU for each 100 MBƒƒHit knee of curve at 500 MBHit knee of curve at 500 MB
Size of Mail File CPU consumption
100 MB x%200 MB x + 10%300 MB x + 20%400 MB x + 30%500 MB exponential, hit knee of curve
20Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Impact of Number of Documents
Number of documents has greater impact Number of documents has greater impact as file size growsas file size grows
0
2
4
6
8
10
12
14
16
100 MB 700 MB
1,024 docs4,096 docs7,196 docs28,672 docs
21Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
File Those Documents!
Inbox is most expensive container in a Inbox is most expensive container in a mail filemail fileƒƒUpdated each time user opens mailUpdated each time user opens mailƒƒUpdated each time user clicks Refresh Updated each time user clicks Refresh buttonbutton
Reducing number of documents in Inbox Reducing number of documents in Inbox reduces:reduces:ƒƒCPU utilizationCPU utilizationƒƒMain storage required to update the viewMain storage required to update the view
22Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
File Those Documents!
Reducing number of documents stored Reducing number of documents stored in Inboxin Inbox
°Mail file open performance improved 50%°Steady state performance improved 12%
0
5
10
15
20
25
30
25% in Inbox 100% in Inbox
OpenSteady State
23Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Mail File Best Practices
For optimal performanceFor optimal performanceƒƒReduce overall document count in Reduce overall document count in the filethe file
••Up to 2X CPU reductionUp to 2X CPU reductionƒƒKeep number of documents stored in Keep number of documents stored in Inbox to a minimumInbox to a minimum
24Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Full-Text Indexing and Searches
Full text indexing is cheapFull text indexing is cheapƒƒCPU usage increase < .5%CPU usage increase < .5%
Searches are expensiveSearches are expensiveƒƒ20% extra CPU20% extra CPU
Moral of the storyMoral of the storyƒƒCreate permanent indexes if using FTI Create permanent indexes if using FTI functionfunction
25Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Mail Statistics to Watch
Mail.WaitingMail.WaitingƒƒIndicator of ROUTER performanceIndicator of ROUTER performanceƒƒNumber of mail items waiting to be Number of mail items waiting to be delivered in all MAIL.BOX filesdelivered in all MAIL.BOX files°May indicate need additional files
Mail.TotalPendingMail.TotalPendingƒƒNumber of mail messages resident in all Number of mail messages resident in all MAIL.BOX filesMAIL.BOX files°Includes all dead, held, and pending mail
26Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Limit Use of QuickRules
QuickRulesQuickRulesƒƒIntroduced in Notes 6.5Introduced in Notes 6.5ƒƒRules applied to mail coming into InboxRules applied to mail coming into Inbox
°Often used to reduce Junk mail in InboxƒƒCan cause ROUTER CPU to spikeCan cause ROUTER CPU to spike
°LIMIT USE UNTIL PERFORMANCE PROBLEM IS FIXED!!!
27Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Additional PerformanceBest Practices
28Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Performance Impact of LPAR
Logical partitioning (LPAR)Logical partitioning (LPAR)ƒƒAbility to carve physical machine up into Ability to carve physical machine up into smaller systemssmaller systems
ƒƒMinimumMinimum LPAR CPU count should be LPAR CPU count should be oneone°Example: LPAR with .5 processor
Only get CPU for processing 1/2 of clock timeCan greatly impact performance, because waiting to get CPU 50% of time
29Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Performance Impact of LPAR
Logical partitioning (LPAR)Logical partitioning (LPAR)ƒƒNo noticeable impact from LPAR No noticeable impact from LPAR performanceperformance°6-way has comparable performance to a 6-way LPAR configuration
30Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Release Levels
It pays to stay current with Domino It pays to stay current with Domino release levelsrelease levelsƒƒR5 R5 --> D6> D6
°Up to 30% improvementƒƒ6.0.16.0.1--> 6.0.2> 6.0.2
°° 20% improvement for Domino Web Access20% improvement for Domino Web Accessƒƒ6.0.2 6.0.2 --> 6.5> 6.5
°~6% better performance
31Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Transaction Logging
Transaction loggingTransaction loggingƒƒUse when need enhanced failover Use when need enhanced failover capabilitiescapabilities
ƒƒDoes impact CPUDoes impact CPU°°Additional 15% CPU utilizationAdditional 15% CPU utilization
ƒƒAlso impacts end user response timeAlso impacts end user response timeƒƒCircular log helps limit performance Circular log helps limit performance impactimpact
°°Keeps size of log file cappedKeeps size of log file capped
32Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Transaction Logging Impact
Impact of transaction loggingImpact of transaction logging
Number of users No logging Circular logging Archive logging
3,000 17 milliseconds 17 milliseconds 66 milliseconds
9,000 19 milliseconds 19 milliseconds 122 milliseconds
12,000 22 milliseconds 22 milliseconds 149 milliseconds
15,000 38 milliseconds 1.266 seconds 1.892 seconds
33Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
References
34Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
References
Performance ZonePerformance Zoneƒƒwww.lotus.com/performancewww.lotus.com/performance
Lotus Developer DomainLotus Developer Domainƒƒwww.lotus.com/lddwww.lotus.com/ldd
Ask Professor INIAsk Professor INIƒƒwww.lotus.com/ldd/today.nsf/profini?OpenViewwww.lotus.com/ldd/today.nsf/profini?OpenView
LDD TodayLDD Todaywww.lotus.com/ldd/today.nsfwww.lotus.com/ldd/today.nsf
Iris SandboxIris SandboxPerformance presentationsPerformance presentations
35Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
References
iSeries Domino PerformanceiSeries Domino Performanceƒƒwww.ibm.com/servers/enable/site/domino/perform.htmlwww.ibm.com/servers/enable/site/domino/perform.html
IBM Workload EstimatorIBM Workload Estimatorƒƒwwwwww--912.ibm.com/servlet/EstimatorServlet912.ibm.com/servlet/EstimatorServlet
Domino for iSeries Sizing and Performance Domino for iSeries Sizing and Performance Tuning on the IBM Tuning on the IBM eServereServer iSeries ServeriSeries Server
ƒƒwww.ibm.com/redbookswww.ibm.com/redbooks°°SG24SG24--51625162--0202
36Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
Domino Performance Redpapers
Sizing LargeSizing Large--Scale Domino Workloads on iSeriesScale Domino Workloads on iSeriesƒƒ publibpublib--b.boulder.ibm.com/Redbooks.nsf/RedpaperAbstracts/redp3802.html?Ob.boulder.ibm.com/Redbooks.nsf/RedpaperAbstracts/redp3802.html?Openpen
IBM Lotus Domino for iSeries Performance and IBM Lotus Domino for iSeries Performance and Tuning, REDP3843Tuning, REDP3843
ƒƒwww.redbooks.ibm.com/redpapers/pdfs/redp2843.pdfwww.redbooks.ibm.com/redpapers/pdfs/redp2843.pdf
37Copyright © 2004 Kim Greene Consulting, Inc. All Rights Reserved Worldwide
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