20230426
09182200
1.0
FALSE
CreateFeatureclass "P:\ASSR-GIS\Brittney\ArcPro\Enterprise\Formatted Layers\Default.gdb" OregonLottery_Retailers Point # No No "PROJCS["NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601_Feet_Intl",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",8202099.737532808],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",44.33333333333334],PARAMETER["Standard_Parallel_2",46.0],PARAMETER["Latitude_Of_Origin",43.66666666666666],UNIT["Foot",0.3048]];-111333600 -98152500 3048;-100000 10000;-100000 10000;3.28083989501312E-03;0.001;0.001;IsHighPrecision" # # # # #
UpdateSchema "P:\ASSR-GIS\Brittney\ArcPro\Enterprise\Formatted Layers\Default.gdb\OregonLottery_Retailers" <operationSequence><workflow><AddField><field_name>RetailerName</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>Address</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>State</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>Zip</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>SellsVideoLottery</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>SellsJackpot</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>SellsScratchIts</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>RetailerType</field_name><field_type>TEXT</field_type><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow></operationSequence>
UpdateSchema "P:\ASSR-GIS\Brittney\ArcPro\Enterprise\Formatted Layers\Default.gdb\OregonLottery_Retailers" <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>
CalculateField OregonLottery_Retailers State "OR" "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField OregonLottery_Retailers State "OR" "Python 3" # Text NO_ENFORCE_DOMAINS
CopyFeatures OregonLottery_Retailers P:\ASSR-GIS\Brittney\SQLfiles\colco-sql(Loading).sde\arcgis.COLCO.OregonLottery_Retailers # # # #
arcgis.COLCO.OregonLottery_Retailers
002
Server=colco-sql; Service=sde:sqlserver:colco-sql; Database=arcgis; User=colco; Version=dbo.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot (0.304800)
NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601_Feet_Intl
<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_HARN_StatePlane_Oregon_North_FIPS_3601_Feet_Intl",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",8202099.737532808],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",44.33333333333334],PARAMETER["Standard_Parallel_2",46.0],PARAMETER["Latitude_Of_Origin",43.66666666666666],UNIT["Foot",0.3048],AUTHORITY["EPSG",2913]]</WKT><XOrigin>-111333600</XOrigin><YOrigin>-98152500</YOrigin><XYScale>3047.9939040000022</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808464567060333</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2913</WKID><LatestWKID>2913</LatestWKID></ProjectedCoordinateSystem>
20230426
14085100
20230426
14085100
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 12.9.4.32739
Oregon Lottery Retailers
colco
Oregon Lottery Retailers in Columbia County, OR
Enterprise Geodatabase Feature Class
dataset
EPSG
6.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
arcgis.COLCO.OregonLottery_Retailers
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
RetailerName
RetailerName
String
255
0
0
Address
Address
String
255
0
0
City
City
String
255
0
0
State
State
String
255
0
0
Zip
Zip
String
255
0
0
SellsVideoLottery
SellsVideoLottery
String
255
0
0
SellsJackpot
SellsJackpot
String
255
0
0
SellsScratchIts
SellsScratchIts
String
255
0
0
RetailerType
RetailerType
String
255
0
0
Shape
SHAPE
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
20230426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