20210527
16090000
1.0
FALSE
CreateFeatureclass C:\Users\vpgrindb\Documents\ArcGIS\Parcel\E911\Default.gdb BikePaths Polyline # No Yes "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # #
UpdateSchema C:\Users\vpgrindb\Documents\ArcGIS\Parcel\E911\Default.gdb\BikePaths <operationSequence><workflow><AddField><field_name>Name</field_name><field_type>TEXT</field_type><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow><workflow><AddField><field_name>City</field_name><field_type>TEXT</field_type><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow><workflow><AddField><field_name>Length</field_name><field_type>TEXT</field_type><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow></operationSequence>
UpdateSchema C:\Users\vpgrindb\Documents\ArcGIS\Parcel\E911\Default.gdb\BikePaths <operationSequence><workflow><AlterField><field_name>OBJECTID</field_name><field_alias>OBJECTID</field_alias></AlterField></workflow><workflow><AlterField><field_name>SHAPE</field_name><field_alias>SHAPE</field_alias></AlterField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.8.0'><WorkspaceConnectionString>DATABASE=C:\Users\vpgrindb\Documents\ArcGIS\Parcel\E911\Default.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BikePaths</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Class</field_name><field_type>LONG</field_type><field_alias>Class</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Description</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_alias>Description</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField BikePaths Name "Westbound Garden Valley" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Eastbound Garden Valley" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Southbound Vine" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Eastbound NE Garden Valley" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Westbound NE Garden Valley" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Northbound NE Stephens" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Southbound NE Stephens" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Northeastbound Stewart" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Southwestbound Stewart" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Class 3 "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Description "Marked Bike Lane on Road" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Class 4 "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Description "Wide Shoulder on Road" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Class 2 "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Description "Shared Use Paved Trail" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "City of Roseburg" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "City of Roseburg" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Class 2 "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Description "Shared Use Paved Trail" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Description "Shared Use Paved Trail" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Class 2 "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Name "Red Rock Trail"
"Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Class 2 "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Description "Shared Use Paved Path" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField BikePaths Description "Shared Use Paved Trail" "Python 3" # Text NO_ENFORCE_DOMAINS
FeatureClassToFeatureClass BikePaths C:\Users\vpgrindb\Documents\ArcGIS\Parcel\DCGIS.sde BikePaths # "Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,BikePaths,Shape_Length,-1,-1;Name "Name" true true false 255 Text 0 0,First,#,BikePaths,Name,0,255;City "City" true true false 255 Text 0 0,First,#,BikePaths,City,0,255;Length "Length" true true false 255 Text 0 0,First,#,BikePaths,Length,0,255;Class "Class" true true false 4 Long 0 0,First,#,BikePaths,Class,-1,-1;Description "Description" true true false 255 Text 0 0,First,#,BikePaths,Description,0,255" #
DCGIS.DBO.BikePaths
002
Server=gisdb; Service=sde:sqlserver:gisdb; Database=DCGIS; User=web_gis; Version=dbo.DEFAULT
ArcSDE Connection
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/2.8.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20210601
16101000
20210601
16101000
Microsoft Windows 10 Version 10.0 (Build 18363) ; Esri ArcGIS 12.8.0.29751
BikePaths
Biking
Roads
Signs
Striping
Douglas County, Oregon Bike Paths
Enterprise Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
DCGIS.DBO.BikePaths
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Name
Name
String
255
0
0
City
City
String
255
0
0
Length
Length
String
255
0
0
Class
Class
Integer
4
10
0
Description
Description
String
255
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape.STLength()
Shape.STLength()
Double
0
0
0
20210601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