20200522
10281800
1.0
FALSE
SalemGIS.DBO.BZA_Minutes_Documents
002
Server=gissql; Service=sde:sqlserver:gissql\arcgis; Database=SalemGIS; Version=dbo.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Virginia_South_FIPS_4502_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/2.5.0'><WKT>PROJCS["NAD_1983_StatePlane_Virginia_South_FIPS_4502_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",11482916.66666666],PARAMETER["False_Northing",3280833.333333333],PARAMETER["Central_Meridian",-78.5],PARAMETER["Standard_Parallel_1",36.76666666666667],PARAMETER["Standard_Parallel_2",37.96666666666667],PARAMETER["Latitude_Of_Origin",36.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2284]]</WKT><XOrigin>-111140599.9999536</XOrigin><YOrigin>-91532099.999996617</YOrigin><XYScale>62499.99994179231</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.00012800000011920935</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>2.0000000000000002e-05</MTolerance><HighPrecision>true</HighPrecision><WKID>102747</WKID><LatestWKID>2284</LatestWKID></ProjectedCoordinateSystem>
Merge memory\points_empty_xy_intermediate;in_memory\table_empty_xy_intermediate \\city\engineering\dfs_engineering\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb\BoardZoningAppealDocs "LINK "LINK" true true false 255 Text 0 0,First,#,in_memory\table_empty_xy_intermediate,LINK,0,255;ADD_ "ADD" true true false 255 Text 0 0,First,#,in_memory\table_empty_xy_intermediate,ADD_,0,255;INDEX_ID "INDEX_ID" true true false 24 Text 0 0,First,#,in_memory\table_empty_xy_intermediate,INDEX_ID,0,24;FULLADDR "FULLADDR" true true false 75 Text 0 0,First,#,in_memory\table_empty_xy_intermediate,FULLADDR,0,75;X_Coord "X_Coord" true true false 8 Double 0 0,First,#,in_memory\table_empty_xy_intermediate,X_Coord,-1,-1;Y_Coord "Y_Coord" true true false 8 Double 0 0,First,#,in_memory\table_empty_xy_intermediate,Y_Coord,-1,-1;AddressID "AddressID" true true false 20 Text 0 0,First,#,in_memory\table_empty_xy_intermediate,AddressID,0,20;Latitude "Latitude" true true false 25 Text 0 0,First,#,in_memory\table_empty_xy_intermediate,Latitude,0,25;Longitude "Longitude" true true false 25 Text 0 0,First,#,in_memory\table_empty_xy_intermediate,Longitude,0,25;bzaadd "bzaadd" true true false 255 Text 0 0,First,#,in_memory\table_empty_xy_intermediate,bzaadd,0,255" NO_SOURCE_INFO
XYTableToPoint BZA_PDF_DOCS_FINAL \\city\engineering\dfs_engineering\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb\BoardZoningAppealDocs X_Coord Y_Coord # "PROJCS['NAD_1983_StatePlane_Virginia_South_FIPS_4502_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',11482916.66666666],PARAMETER['False_Northing',3280833.333333333],PARAMETER['Central_Meridian',-78.5],PARAMETER['Standard_Parallel_1',36.76666666666667],PARAMETER['Standard_Parallel_2',37.96666666666667],PARAMETER['Latitude_Of_Origin',36.33333333333334],UNIT['Foot_US',0.3048006096012192]];-111140600 -91532100 3048.00609601219;-100000 10000;-100000 10000;3.28083333333333E-03;0.001;0.001;IsHighPrecision"
EnableAttachments N:\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb\BoardZoningAppealDocs
AddAttachments BoardZoningAppealDocs OBJECTID BoardZoningAppealDocs OBJECTID LINK C:\Users\jsimpson\Desktop\SCANNEDBZAMINUTES
CalculateGeometryAttributes BoardZoningAppealDocs "X_Coord POINT_X;Y_Coord POINT_Y" # # PROJCS['NAD_1983_StatePlane_Virginia_South_FIPS_4502_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',11482916.66666666],PARAMETER['False_Northing',3280833.333333333],PARAMETER['Central_Meridian',-78.5],PARAMETER['Standard_Parallel_1',36.76666666666667],PARAMETER['Standard_Parallel_2',37.96666666666667],PARAMETER['Latitude_Of_Origin',36.33333333333334],UNIT['Foot_US',0.3048006096012192]] "Same as input"
AddGlobalIDs N:\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb\BoardZoningAppealDocs
AddXY BoardZoningAppealDocs
FeatureClassToFeatureClass BoardZoningAppealDocs \\city\engineering\dfs_engineering\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb\ BZA_Appeal_Document_Points # "LINK "LINK" true true false 255 Text 0 0,First,#,BoardZoningAppealDocs,LINK,0,255;ADD_ "ADD" true true false 255 Text 0 0,First,#,BoardZoningAppealDocs,ADD_,0,255;INDEX_ID "INDEX_ID" true true false 24 Text 0 0,First,#,BoardZoningAppealDocs,INDEX_ID,0,24;FULLADDR "FULLADDR" true true false 75 Text 0 0,First,#,BoardZoningAppealDocs,FULLADDR,0,75;X_Coord "X_Coord" true true false 8 Double 0 0,First,#,BoardZoningAppealDocs,X_Coord,-1,-1;Y_Coord "Y_Coord" true true false 8 Double 0 0,First,#,BoardZoningAppealDocs,Y_Coord,-1,-1;AddressID "AddressID" true true false 20 Text 0 0,First,#,BoardZoningAppealDocs,AddressID,0,20;Latitude "Latitude" true true false 25 Text 0 0,First,#,BoardZoningAppealDocs,Latitude,0,25;Longitude "Longitude" true true false 25 Text 0 0,First,#,BoardZoningAppealDocs,Longitude,0,25;bzaadd "bzaadd" true true false 255 Text 0 0,First,#,BoardZoningAppealDocs,bzaadd,0,255;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,BoardZoningAppealDocs,GlobalID,-1,-1;POINT_X "POINT_X" true true false 8 Double 0 0,First,#,BoardZoningAppealDocs,POINT_X,-1,-1;POINT_Y "POINT_Y" true true false 8 Double 0 0,First,#,BoardZoningAppealDocs,POINT_Y,-1,-1" #
EnableAttachments N:\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb\BZA_Appeal_Document_Points
AddAttachments BZA_Appeal_Document_Points OBJECTID BZA_Appeal_Document_Points OBJECTID LINK C:\Users\jsimpson\Desktop\SCANNEDBZAMINUTES
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/2.5.0'><WorkspaceConnectionString>DATABASE=N:\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BZA_Appeal_Document_Points</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>ADD_</field_name><field_name>bzaadd</field_name><field_name>POINT_X</field_name><field_name>POINT_Y</field_name></DeleteField></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/2.5.0'><WorkspaceConnectionString>DATABASE=N:\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BZA_Appeal_Document_Points</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>X_Coord</field_name><field_name>Y_Coord</field_name><field_name>AddressID</field_name><field_name>Latitude</field_name><field_name>Longitude</field_name></DeleteField></workflow></operationSequence>
FeatureClassToFeatureClass BZA_Appeal_Document_Points \\city\engineering\dfs_engineering\GIS\ArcGISPro_Projects\Dashboard_Automation\Dashboard_Automation.gdb\ BZA_Minutes_Points # "INDEX_ID "INDEX_ID" true true false 24 Text 0 0,First,#,BZA_Appeal_Document_Points,INDEX_ID,0,24;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,BZA_Appeal_Document_Points,GlobalID,-1,-1" #
FeatureClassToFeatureClass BZA_Minutes_Points C:\Users\jsimpson\AppData\Roaming\Esri\ArcGISPro\Favorites\SalemGIS.sde\SALEMGIS.DBO.Zoning BZA_Minutes_Documents # "INDEX_ID "INDEX_ID" true true false 24 Text 0 0,First,#,BZA_Minutes_Points,INDEX_ID,0,24;GlobalID "GlobalID" false false false 38 GlobalID 0 0,First,#,BZA_Minutes_Points,GlobalID,-1,-1" #
AddXY SalemGIS.DBO.BZA_Minutes_Documents
20200610
10150100
20200610
10150100
Microsoft Windows 10 Version 10.0 (Build 18363) ; Esri ArcGIS 12.5.1.22081
BZA_Zoning_Documents
BZA
Zoning
Board of Zoning Appeals Documents for the City of Salem
Enterprise Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
SalemGIS.DBO.BZA_Minutes_Documents
Feature Class
0
OBJECTID
OBJECTID
OID
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.
INDEX_ID
INDEX_ID
String
24
0
0
GlobalID
GlobalID
GlobalID
38
0
0
20200610
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