20170727
12093000
1.0
FALSE
Central_Elgin_DB.DBO.Municipal_Boundary
002
Server=ecgisdb01.elgincounty.ca; Service=sde:sqlserver:ecgisdb01.elgincounty.ca,1433\ecgisdb01; Database=Central_Elgin_DB; User=ESRIadmin; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_17N
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>PROJCS["NAD_1983_UTM_Zone_17N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26917]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26917</WKID><LatestWKID>26917</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass "Base Layers\Municipal Boundary" \\mcefileserver\users\mcriel\ArcGIS\Projects\AGOL_Publishing\ecgisdb01.elgincounty.ca,1433.sde\Central_Elgin_DB.DBO.Land_Base Municipal_Boundary # "OBJECTID "OBJECTID" true true false 10 Long 0 10,First,#,Base Layers\Municipal Boundary,OBJECTID,-1,-1;OGF_ID "OGF_ID" true true false 19 Double 0 0,First,#,Base Layers\Municipal Boundary,OGF_ID,-1,-1;CLASS_SUBT "CLASS_SUBT" true true false 75 Text 0 0,First,#,Base Layers\Municipal Boundary,CLASS_SUBT,0,75;CLASS_SU_1 "CLASS_SU_1" true true false 10 Long 0 10,First,#,Base Layers\Municipal Boundary,CLASS_SU_1,-1,-1;OFFICIAL_M "OFFICIAL_M" true true false 100 Text 0 0,First,#,Base Layers\Municipal Boundary,OFFICIAL_M,0,100;MUNID "MUNID" true true false 5 Text 0 0,First,#,Base Layers\Municipal Boundary,MUNID,0,5;MAH_CODE "MAH_CODE" true true false 5 Text 0 0,First,#,Base Layers\Municipal Boundary,MAH_CODE,0,5;MUNICIPAL_ "MUNICIPAL_" true true false 10 Text 0 0,First,#,Base Layers\Municipal Boundary,MUNICIPAL_,0,10;ASSESSMENT "ASSESSMENT" true true false 4 Text 0 0,First,#,Base Layers\Municipal Boundary,ASSESSMENT,0,4;MUNICIPAL1 "MUNICIPAL1" true true false 50 Text 0 0,First,#,Base Layers\Municipal Boundary,MUNICIPAL1,0,50;MUNICIPA_1 "MUNICIPA_1" true true false 50 Text 0 0,First,#,Base Layers\Municipal Boundary,MUNICIPA_1,0,50;UPPER_TIER "UPPER_TIER" true true false 2 Text 0 0,First,#,Base Layers\Municipal Boundary,UPPER_TIER,0,2;UPPER_TI_1 "UPPER_TI_1" true true false 100 Text 0 0,First,#,Base Layers\Municipal Boundary,UPPER_TI_1,0,100;GEOG_UNIT_ "GEOG_UNIT_" true true false 254 Text 0 0,First,#,Base Layers\Municipal Boundary,GEOG_UNIT_,0,254;GEOMETRY_U "GEOMETRY_U" true true false 8 Date 0 0,First,#,Base Layers\Municipal Boundary,GEOMETRY_U,-1,-1;EFFECTIVE_ "EFFECTIVE_" true true false 8 Date 0 0,First,#,Base Layers\Municipal Boundary,EFFECTIVE_,-1,-1;SHAPE_Leng "SHAPE_Leng" true true false 19 Double 0 0,First,#,Base Layers\Municipal Boundary,SHAPE_Leng,-1,-1;SHAPE_Area "SHAPE_Area" true true false 19 Double 0 0,First,#,Base Layers\Municipal Boundary,SHAPE_Area,-1,-1" #
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><FeatureDataset>Central_Elgin_DB.DBO.Land_Base</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e687244766c547179373772545a68456b4f38524450656d5a33675a3743316d75535941533378794136436f383d2a00;SERVER=ecgisdb01.elgincounty.ca;INSTANCE=sde:sqlserver:ecgisdb01.elgincounty.ca,1433\ecgisdb01;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=ecgisdb01.elgincounty.ca,1433\ecgisdb01;DATABASE=Central_Elgin_DB;USER=dbo;AUTHENTICATION_MODE=DBMS;BRANCH=sde.DEFAULT</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>Central_Elgin_DB.DBO.Municipal_Boundary</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" "<operationSequence><workflow><AddGlobalIDs /></workflow><workflow><EnableEditorTracking><creator_field>created_user</creator_field><creation_date_field>created_date</creation_date_field><last_editor_field>last_edited_user</last_editor_field><last_edit_date_field>last_edited_date</last_edit_date_field><add_fields>TRUE</add_fields><record_dates_in>UTC</record_dates_in></EnableEditorTracking></workflow></operationSequence>"
20220607
13192300
20220607
13192300
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.3.32739
Municipal Boundary
Boundary
Central Elgin
Municipal Boundary
Enterprise Geodatabase Feature Class
dataset
EPSG
6.11(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Central_Elgin_DB.DBO.Municipal_Boundary
Feature Class
0
OBJECTID
OBJECTID
Integer
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
OBJECTID_1
OBJECTID_1
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OGF_ID
OGF_ID
Double
8
38
8
MUNID
MUNID
String
5
0
0
CLASS_SUBT
CLASS_SUBT
String
75
0
0
CLASS_SU_1
CLASS_SU_1
Integer
4
10
0
OFFICIAL_M
OFFICIAL_M
String
100
0
0
MAH_CODE
MAH_CODE
String
5
0
0
Lower Tier Municipality
95
MUNICIPAL_
MUNICIPAL_
String
10
0
0
ASSESSMENT
ASSESSMENT
String
4
0
0
MUNICIPAL1
MUNICIPAL1
String
50
0
0
MUNICIPA_1
MUNICIPA_1
String
50
0
0
UPPER_TIER
UPPER_TIER
String
2
0
0
UPPER_TI_1
UPPER_TI_1
String
100
0
0
GEOG_UNIT_
GEOG_UNIT_
String
254
0
0
GEOMETRY_U
GEOMETRY_U
Date
8
0
0
EFFECTIVE_
EFFECTIVE_
Date
8
0
0
SHAPE_Leng
SHAPE_Leng
Double
8
38
8
Single Tier Municipality
96
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20220607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