20220713
08580100
1.0
FALSE
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp Address TEXT # # 75 # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp X DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp Y DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp PON_ID LONG # # # # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp Notes TEXT # # 200 # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp Version LONG # # # # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp Date DATE # # # # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp Misc TEXT # # 200 # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp URL TEXT # # 200 # NULLABLE NON_REQUIRED #
AddField C:\Dropbox\GIS\Magellan_Cabinets.shp File TEXT # # # # NULLABLE NON_REQUIRED #
CalculateField Magellan_Cabinets Id "[FID] + 1" VB #
CalculateField Magellan_Cabinets URL "https://media.superiordcgis.org/FTP/Superior/IT/Magellan/Data/Cabinets/" VB #
CalculateField Magellan_Cabinets File "Cabinet_Page_0" VB #
CalculateField Magellan_Cabinets File "Cabinet_Page_1" VB #
CalculateField Magellan_Cabinets File "Cabinet_Page_2" VB #
CalculateField Magellan_Cabinets File "Cabinet_Page_3" VB #
CalculateField Magellan_Cabinets File "Cabinet_Page_4" VB #
CalculateField Magellan_Cabinets File "Cabinet_Page_" VB #
CalculateField Magellan_Cabinets Misc [Id] VB #
CalculateField Magellan_Cabinets File "[File] + [Misc]" VB #
CalculateField Magellan_Cabinets File "[File] + ".jpg"" VB #
CalculateField Magellan_Cabinets URL "[URL] + [File]" VB #
CalculateField Magellan_Cabinets PON_ID [Id] VB #
CalculateField Magellan_Cabinets Version 1 VB #
FeatureClassToFeatureClass C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp "Database Connections\GIS2011-SDE.sde\COSDC.DBO.UTIL_COS_CONNECT_SUPERIOR" UTIL_COS_MAGELLAN_PONS # "Id "Id" true true false 6 Long 0 6 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,Id,-1,-1;Name "Name" true true false 100 Text 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,Name,-1,-1;Address "Address" true true false 75 Text 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,Address,-1,-1;X "X" true true false 19 Double 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,X,-1,-1;Y "Y" true true false 19 Double 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,Y,-1,-1;PON_ID "PON_ID" true true false 10 Long 0 10 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,PON_ID,-1,-1;Notes "Notes" true true false 200 Text 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,Notes,-1,-1;Version "Version" true true false 10 Long 0 10 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,Version,-1,-1;Date "Date" true true false 8 Date 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,Date,-1,-1;Misc "Misc" true true false 200 Text 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,Misc,-1,-1;URL "URL" true true false 200 Text 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,URL,-1,-1;File_ "File_" true true false 254 Text 0 0 ,First,#,C:\Users\fisknessj.CITYOFSUPERIOR\Documents\ConnectWiseControl\Files\Magellan_Cabinets.shp,File,-1,-1" #
COSDC.DBO.UTIL_COS_MAGELLAN_PONS
002
Server=gisserver2011; Service=sde:sqlserver:gisserver2011; Database=COSDC; User=fisknessj; Version=sde.DEFAULT
ArcSDE Connection
Projected
douglas cnty geographic coord system
Linear Unit: Foot_US (0.304801)
dc-4
<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/10.6'><WKT>PROJCS["dc-4",GEOGCS["douglas cnty geographic coord system",DATUM["<custom>",SPHEROID["douglas county",6378414.93,298.27021878]],PRIMEM["greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",194000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-91.91666667],PARAMETER["Scale_Factor",0.999994968],PARAMETER["Latitude_Of_Origin",45.88333333],UNIT["Foot_US",0.3048006096012192]]</WKT><XOrigin>-18255300</XOrigin><YOrigin>-49493900</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
20220713
13010500
20220713
13010500
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
MAGELLAN PONS
Connect Superior Magellan Proposed PONS
Connect Superior Magellan Proposed PONS
SDE Feature Class
dataset
0
Simple
FALSE
0
FALSE
FALSE
COSDC.DBO.UTIL_COS_MAGELLAN_PONS
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Id
Id
Integer
4
10
0
Name
Name
String
100
0
0
Address
Address
String
75
0
0
X
X
Double
8
38
8
Y
Y
Double
8
38
8
PON_ID
PON_ID
Integer
4
10
0
Notes
Notes
String
200
0
0
Version
Version
Integer
4
10
0
Date
Date
Date
8
0
0
Misc
Misc
String
200
0
0
URL
URL
String
200
0
0
File_
File_
String
254
0
0
Shape
Shape
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
20220713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