Lotus Domino: Tunning English: Difference between revisions

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'''Reference'''
'''Reference'''
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http://www-01.ibm.com/support/docview.wss?rs=899&uid=swg21286171
[http://www-01.ibm.com/support/docview.wss?rs=899&uid=swg21286171 Recommendations for setting NSF_BUFFER_POOL_SIZE_MB]


[http://www-01.ibm.com/support/docview.wss?rs=0&uid=swg21268988 New default limit on UBM size in Domino 8]
[http://www-01.ibm.com/support/docview.wss?rs=0&uid=swg21268988 New default limit on UBM size in Domino 8]

Revision as of 21:44, 16 September 2010

Tunning

This wiki will be creating a series of articles outlining best practices for Lotus Domino environment.

I ask you to always return to this article will be updating as usual.

Steps

  1. Have an implementation plan
  2. Know your infrastructure
  3. Divide the compounds
    1. Platform
    2. Notes Mail Statistics
    3. Network report
    4. Server Load Statistics
  4. Have a baseline reference


Disabling the Collection of Statistics Platform

Domino statistics collection platform to display the Administrator. The collection does not consume much resources, but we're talking about tuning.

To disable the collection utize the following parameter in NOTES.INI.

Platform_Statistics_Disabled = 1

Reasons:

  • You do not want to collect statistics
  • On partitioned servers (DPAR), each server collects the same statistics. You can enable only in one partition and disable the others.


Cache Design Elements

To optimize the response time keeps Domino design elements in memory.

Tune

To change the parameters of Web Cache, Open the server document and go

Internet Protocols → Domino Web Engine → Memory Caches.

and change the field value

Field

Description

Maximum cached designs

Enter the number of database design elements to cache for users. The default is 128. When a user opens a database, Domino maps each design element name to an identification number. This mapping procedure takes time. Use this field to Specify how many elements you want to store in memory so the next time the user accesses That element, it is Immediately available.


Statistics

  • Domino.Cache.Design.Count
  • Domino.Cache.Design.DisplaceRate
  • Domino.Cache.Design.HitRate
  • Domino.Cache.Design.MaxSize

Interpretation

  • Good = HitRate >= 97%
  • Good = DisplaceRate = 0

Reference

http://www-01.ibm.com/support/docview.wss?rs=899&uid=swg21286171


Example:

To find out if you need to change this parameter, run the following command

 > Show stat domino.cache.design .*
 Domino.Cache.Design.Count = 128
 Domino.Cache.Design.DisplaceRate = 18.0328294698918
 Domino.Cache.Design.HitRate = 81.960226776015
 Domino.Cache.Design.MaxSize = 128

Observing these numbers we can deduce that the value of elements (Count) has reached the maximum (MaxSize), so elements in this cache are discarded ( DisplaceRate).

The optimal value for theHitrate is near 100%, andDisplaceRate is 0%. Increasing the value of the fieldMaximum cached designs improves response-time.


Cache User Info

To optimize the response time keeps Domino design elements in memory.

Tune

To change the parameters of Web Cache, Open the server document and go

Internet Protocols → Domino Web Engine → Memory Caches.

and change the field value

Field

Description

Maximum cached users

Enter the number of users to cache. The default is 64. After a user successfully authenticates with a server, Domino stores in memory the user's name, password, and the list of groups to which the user belongs. Use this field to increase the number of users for whom Domino stores this information.


Statistics

  • Domino.Cache.User Cache.Count
  • Domino.Cache.User Cache.DisplaceRate
  • Domino.Cache.User Cache.HitRate
  • Domino.Cache.User Cache.MaxSize

Interpretation

  • Good = HitRate >= 97%
  • Good = DisplaceRate = 0

Reference

Example:

To find out if you need to change this parameter, run the following command

 > Show stat domino.cache.user*
Domino.Cache.User Cache.Count = 68
Domino.Cache.User Cache.DisplaceRate = 0
Domino.Cache.User Cache.HitRate = 73.258795221749
Domino.Cache.User Cache.MaxSize = 64


Observing these numbers we can deduce that the value of elements (Count) has reached the maximum (MaxSize), so elements in this cache are discarded ( DisplaceRate).

The optimal value for theHitrate is near 100%, andDisplaceRate is 0%. Increasing the value of the fieldMaximum cached designs improves response-time.


NSF Buffer Pool

Buffering Database I/O


Tune

NSF_Buffer_Pool_Size_MB=n

  • Version 8.5 64 bits = Default value 1024
  • Version 8 64 bits = Default value 1024
  • Version 8 32 bits = Default value 512

Statistics

  • Database.Database.BufferPool.Maximum.Megabytes
  • Database.Database.BufferPool.PerCentReadsInBuffer

Interpretation

  • Bad < 90% < PercentReadsInBuffer < 98% < Perfect

Reference

Recommendations for setting NSF_BUFFER_POOL_SIZE_MB

New default limit on UBM size in Domino 8

Example:

To find out if you need to change this parameter, run the following command

 > Show stat Database.Database.BufferPool.*
 Database.Database.BufferPool.Maximum.Megabytes = 1024
 Database.Database.BufferPool.MM.Reads = 24
 Database.Database.BufferPool.MM.Writes = 7
 Database.Database.BufferPool.Peak.Megabytes = 1023
 Database.Database.BufferPool.PerCentReadsInBuffer = 98.21

If the Database statistics Database.Database.BufferPool.PerCentReadsInBuffer is lower than 97%,then you should consider tuning this parameter.



NSF Cache

To minimize the time lags involved with opening and closing databases on a server, each server uses a database cache.

The Notes.ini NSF_DbCache_Maxentries control how many databases can reside in the cache at a maximum.

This NSF database cache is limited to:

  • 10000 entries = Domino 5.x and 6.x.
  • 20000 entries = Domino 7.x and higher


Tune

NSF_DbCache_Maxentries=X

Statistics

  • Database.Database.BufferPool.PerCentReadsInBuffer
  • Database.DbCache.HighWaterMark
  • Database.DbCache.CurrentEntries
  • Database.DbCache.MaxEntries
  • Database.DbCache.OvercrowdingRejections

Interpretation

  • Good = HighWaterMark < MaxEntries
  • Good = 0 OvercrowdingRejections

Reference

http://www-01.ibm.com/support/docview.wss?uid=swg21279893

Example:

To find out if you need to change this parameter, run the following command

 > Show stat Database.Database.BufferPool.*
 Database.Database.BufferPool.Maximum.Megabytes = 1024
 Database.Database.BufferPool.MM.Reads = 24
 Database.Database.BufferPool.MM.Writes = 7
 Database.Database.BufferPool.Peak.Megabytes = 1023
 Database.Database.BufferPool.PerCentReadsInBuffer = 98.21

If the Database statistics Database.Database.BufferPool.PerCentReadsInBuffer is lower than 97%,then you should consider tuning this parameter.

 > Show statDatabase.DbCache.*
 Database.DbCache.HighWaterMark = 2227
 ...
 Database.DbCache.MaxEntries = 3072
 ...
 Database.DbCache.OvercrowdingRejections = 0
 Database.DbCache.Size = 10003

If the Database statistics DbCache.OvercrowdingRejections is high, then you should consider tuning this parameter.



Cluster Replicator

To prevent the replicas of the cluster de-synchronized, increasing the amount of tasks clrepl through the Notes.ini variable

Tune

CLUSTER_REPLICATORS=X

Statistics

  • Replica.Cluster.SecondsOnQueue
  • Replica.Cluster.WorkQueueDepth
  • Replica.Cluster.Failed

Interpretation

  • Perfect < 10 < SecondsOnQueue > 15 > Bad
  • Perfect < 10 < WorkQueueDepth > 15 > Bad

Reference

NA

Example

Para saber se é necessário alterar este parâmetro, execute o seguinte comando

> show stat replica.cluster.*
 ...
 Replica.Cluster.SCR.QueueDepth.Avg = 0 
 Replica.Cluster.SCR.QueueDepth.Max = 155 
 ...
 Replica.Cluster.SecondsOnQueue = 2 
 Replica.Cluster.SecondsOnQueue.Avg = 18 
 Replica.Cluster.SecondsOnQueue.Max = 2558 
 ...
 Replica.Cluster.WorkQueueDepth = 0 
 Replica.Cluster.WorkQueueDepth.Avg = 13 
 Replica.Cluster.WorkQueueDepth.Max = 698



Concurrent Tasks

PUT INFO HERE

Tune

  • Server_Pool_Tasks = n
  • Server_Max_Concurrent_Trans = m

Statistics

  • Server.ConcurrentTasks
  • Server.ConcurrentTasks.Waiting

Interpretation

  • Good = 0 Waiting

Example

NA

Reference

http://www-01.ibm.com/support/docview.wss?uid=swg21207456



Platform Paging File

Tune

  • OS Level

Statistics

  • Platform.PagingFile.Total.PctUtil

Interpretation

  • OK < 0% < PctUtil.Avg > 10% > BAD

Example

NA

Reference

NA



Platform Disk

Tune

By several parameters (bufferpool, cache, namelookup ...

Statistics

  • Platform.LogicalDisk.1.AvgQueueLen
  • Platform.LogicalDisk.1.PctUtil

Platform.LogicalDisk.1.AssignedName=C points to the disk

Interpretation

  • Good < 2% < AvgQueueLen > 5% > BAD
  • Good = PctUtil < 80%

Reference

NA