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Transcript
ESRI User Conference 2004
ArcSDE
Some Nuggets
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Setup
Performance
Distribution
Geodatabase History
Setup
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Initial Database
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Create as large as possible to avoid fragmenting indexes
Set growth rate to a large value for same reason
Fillfactor
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Set very high for read only environments
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Set midrange for editing environments
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95-100%
75% default
Users
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9.0 supports Windows groups but they can not own data
Windows groups are more efficient than individual logins
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ArcGIS checks sysprotects table for permissions
Setup (cont’d)
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Permissions
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Data Loader
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Data Editor
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Create Table
Create View
Create Procedure
Select
Insert
Update
Delete
Execute
Use ArcCatalog to assign permissions
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Associated tables may be missed if using DBMS to assign
permissions
Setup (cont’d)
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Logfiles
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User logfiles
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Session logfiles (recommended for SQL Server)
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An individual logfile table is created once for each user
An individual logfile table is created and destroyed for each
login session
Maxlog = 0
Allowsessionlog = true
Logfilepoolsize = 0
Pooled logfiles
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A series of logfile tables are created once
Each login uses one of the pooled logfiles
Need to provide enough tables for all logins
Setup (cont’d)
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Upgrading
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Backup
Uninstall 8.3
Install 9
run checkschema.exe – 25 errors at a time max.
run custom post-installation – don’t create new dbase or
SDE user if upgrading
run migratory sample utility – to convert each spatial
database to a series of single standalone spatial databases
Create new service for each single spatial database
Recommended storing rasters in a separate database
Only store separately if they are completely separate (no
cross database queries supported)
Follow up migration with sp_change_users_login to
synchronize ID’s
Performance

Memory
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Make sure dbinit.sde is empty unless debugging
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
Initially set SQL Server memory to 50% RAM and move up
from there
Setting SQL Server memory too high will restrict gsrvr.exe
1 giomgr.exe is spawned at runtime
1 gsrvr.exe is spawned for each connection
Stores detailed initialization information
Set TCPKeepAlive to ON to close orphaned
gsrvr.exe processes
Performance (cont’d)

Reference Classes
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Only use during editing
All reference classes need to be loaded when used and this
sucks up memory
Excess number of privileges will slow things down
Servers start queuing SQL statements when they hit
65% CPU usage
Index Tuning Wizard
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Use to check often used queries for performance
Performance (cont’d)

Loading
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Set the recovery model to simple

–
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Avoids tracking everything when you don’t need to rollback
Turn off the transaction logfile when loading
Bottlenecks
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Server processor should never exceed 80-90% capacity
Memory buffer cache hit rate should always be below 90%
Average disk queue length should not exceed 2
Performance (cont’d)

Logfiles (check these)
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Giomgr.log – client connection information
Sde.log – detailed error logs
Sdedc.log – direct connect information
Upgrade.log – patch information
Compress the database at least once a week
The single most important thing that will effect
performance of your geodatabase is: The # of states
for a version (Lineage)
Distribution
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Geodatabase Replication
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Single Generation (9.0) (a.k.a. Disconnected Editing)
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Check out from one versioned GDB to another
Check changes back into original
Multi Generation (9.1)
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1 way replication
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Used to replicate read only data (mirror)
– Only pumps changes to the child database
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2 way replication
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Changes can be sent both ways
Allows to independent sites to edit data and exchange edits
Uses a Global ID (GUID) on each feature
Works on specific versions
Synchronization Process (Parent wins, Child wins, Manually
Reconcile)
Distribution (cont’d)
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Replica Agent (9.1)
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
Allows setting up a scheduled task to determine
when changes move between the databases
They are developing a web service based
way of automating change movement
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Enables disconnected synchronization
Geodatabase History

Store changes over time using versions (9.0)
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History of the DEFAULT version of the database
Developer sample for inspecting the history of an
individual feature (“a feature’s lineage”)
(-) Historical versions cannot be edited
(-) Significant performance hit if require finegrained history (i.e., OK for snapshot archiving,
not OK for transaction level archiving)
(-) If schema changes, history is lost.
Geodatabase History (cont’d)

A Transaction Level History Solution (9.1)
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Each feature class (FC) has an associated history
table (e.g., Parcel_history) …identical to business
table (except includes “in date” and “out date”)
(+) History not lost with schema change.
(?) Performance
(-) Does not capture change in related tables
Geodatabase History (cont’d)

Version Log (9.1)
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Compare two versions and show me the
differences.
Useful for situation where workflow dictates that
another person review the edits before committing
them to the database.