20200730
16224700
1.0
FALSE
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/2.6.0'><WorkspaceConnectionString>DATABASE=P:\4\4296008\GIS\Temp\RE__SR04_and_SR05</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>SR04_SR05_rev.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Name</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
FeatureClassToFeatureClass SR04_SR05_rev C:\Users\azeigert\Documents\ArcGIS\Projects\SaddleRockGrid\SaddleRockGrid.gdb Waste_Rock_Boundary_Phase_2 # "Name "Name" true true false 254 Text 0 0,First,#,SR04_SR05_rev,Name,0,254" #
CopyMultiple "C:\Users\azeigert\Documents\ArcGIS\Projects\SaddleRockGrid\SaddleRockGrid.gdb\Waste_Rock_Boundary_Phase_2 FeatureClass" \\geoengineers.com\WAN\Projects\4\4296008\GIS\429600800.gdb Waste_Rock_Boundary_Phase_2 "Waste_Rock_Boundary_Phase_2 FeatureClass Waste_Rock_Boundary_Phase_2 #"
CopyMultiple "\\geoengineers.com\WAN\Projects\4\4296008\GIS\429600800.gdb\Waste_Rock_Boundary_Phase_2 FeatureClass" C:\Users\azeigert\Documents\ArcGIS\Projects\SaddleRockGrid\gissqlclust.sde Waste_Rock_Boundary_Phase_2 "Waste_Rock_Boundary_Phase_2 FeatureClass 'SaddleRock."GEOENGINEERS\AZEIGERT".Waste_Rock_Boundary_Phase_2' #"
Waste_Rock_Boundary_Phase_2
002
Server=gissqlclust; Service=sde:sqlserver:gissqlclust\gissql; Database=SaddleRock; Version=dbo.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Washington_North_FIPS_4601_Feet
<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/2.6.0'><WKT>PROJCS["NAD_1983_StatePlane_Washington_North_FIPS_4601_Feet",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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1640416.667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.833333333333],PARAMETER["Standard_Parallel_1",47.5],PARAMETER["Standard_Parallel_2",48.73333333333333],PARAMETER["Latitude_Of_Origin",47.0],UNIT["Foot_US",0.3048006096012192]]</WKT><XOrigin>-117104300</XOrigin><YOrigin>-99539600</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
20200730
15555600
20200730
15555600
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.6.0.24783
Waste_Rock_Boundary_Phase_2
wenatchee
saddle rock
Boundary features for Wenatchee Saddle Rock project, Phase 2.
File Geodatabase Feature Class
dataset
0
Simple
FALSE
0
TRUE
TRUE
Waste_Rock_Boundary_Phase_2
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Name
Name
String
254
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20200730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