20240520
13195500
1.0
FALSE
USAColliersLeroy_ExportFeatures
002
file://\\PHO-US-FP02\Data\Photo Mapper\Mapping\ArcGIS Content\Projects\2024\38426_LeroyTaylorSurvey\38426_LeroyTaylorSurvey.gdb
Local Area Network
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.2.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
ExportFeatures USAColliersLeroy "P:\Mapping\ArcGIS Content\Projects\2024\38426_LeroyTaylorSurvey\38426_LeroyTaylorSurvey.gdb\USAColliersLeroy_ExportFeatures" # NOT_USE_ALIAS "name "Name" true true false 128 Text 0 0,First,#,USAColliersLeroy,name,0,127;officeemail "OfficeEmail" true true false 128 Text 0 0,First,#,USAColliersLeroy,officeemail,0,127;phonenumber "PhoneNumber" true true false 128 Text 0 0,First,#,USAColliersLeroy,phonenumber,0,127;faxnumber "FaxNumber" true true false 128 Text 0 0,First,#,USAColliersLeroy,faxnumber,0,127;imageurl "ImageUrl" true true false 128 Text 0 0,First,#,USAColliersLeroy,imageurl,0,127;region "Region" true true false 128 Text 0 0,First,#,USAColliersLeroy,region,0,127;territory "Territory" true true false 128 Text 0 0,First,#,USAColliersLeroy,territory,0,127;displayaddress "DisplayAddress" true true false 128 Text 0 0,First,#,USAColliersLeroy,displayaddress,0,127;officetype "OfficeType" true true false 128 Text 0 0,First,#,USAColliersLeroy,officetype,0,127;market "Market" true true false 128 Text 0 0,First,#,USAColliersLeroy,market,0,127;country "Country" true true false 128 Text 0 0,First,#,USAColliersLeroy,country,0,127;metroarea "MetroArea" true true false 128 Text 0 0,First,#,USAColliersLeroy,metroarea,0,127;marketleadername "MarketLeaderName" true true false 128 Text 0 0,First,#,USAColliersLeroy,marketleadername,0,127;lat_range "Lat" true true false 0 Double 0 0,First,#,USAColliersLeroy,lat_range,-1,-1;long_range "Long" true true false 0 Double 0 0,First,#,USAColliersLeroy,long_range,-1,-1;offpres "How Many Office Presentations Done" true true false 0 Short 0 0,First,#,USAColliersLeroy,offpres,-1,-1;offfeedback "Office Presentation Feedback" true true false 255 Text 0 0,First,#,USAColliersLeroy,offfeedback,0,254;lastoffpres "Last Office Presentation Date" true true false 29 Date 0 0,First,#,USAColliersLeroy,lastoffpres,-1,-1;teampres "How Many Team Presentations Done" true true false 0 Short 0 0,First,#,USAColliersLeroy,teampres,-1,-1;teamfeedback "Team Presentation Feedback" true true false 255 Text 0 0,First,#,USAColliersLeroy,teamfeedback,0,254;lastteampres "Last Team Presentation Date" true true false 29 Date 0 0,First,#,USAColliersLeroy,lastteampres,-1,-1;indpres "How Many Individual Presentations Done" true true false 0 Short 0 0,First,#,USAColliersLeroy,indpres,-1,-1;indfeedback "Individual Presentation Feedback" true true false 255 Text 0 0,First,#,USAColliersLeroy,indfeedback,0,254;lastindpres "Last Individual Presentation Date" true true false 29 Date 0 0,First,#,USAColliersLeroy,lastindpres,-1,-1" #
Rename "P:\Mapping\ArcGIS Content\Projects\2024\38426_LeroyTaylorSurvey\38426_LeroyTaylorSurvey.gdb\USAColliersLeroy_ExportFeatures" "P:\Mapping\ArcGIS Content\Projects\2024\38426_LeroyTaylorSurvey\38426_LeroyTaylorSurvey.gdb\USAColliersLeroy" FeatureClass
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/3.2.0'><WorkspaceConnectionString>DATABASE=P:\Mapping\ArcGIS Content\Projects\2024\38426_LeroyTaylorSurvey\38426_LeroyTaylorSurvey.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>USAColliersLeroy</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>offpres</field_name><field_name>offfeedback</field_name><field_name>lastoffpres</field_name><field_name>teampres</field_name><field_name>teamfeedback</field_name><field_name>lastteampres</field_name><field_name>indpres</field_name><field_name>indfeedback</field_name><field_name>lastindpres</field_name></DeleteField></workflow><workflow><AlterField><field_name>name</field_name><new_field_name>officename</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_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/3.2.0'><WorkspaceConnectionString>DATABASE=P:\Mapping\ArcGIS Content\Projects\2024\38426_LeroyTaylorSurvey\38426_LeroyTaylorSurvey.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>USAColliersLeroy</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>lat_range</field_name><new_field_name>latitude</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>long_range</field_name><new_field_name>longitude</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence>
20240528
15432200
20240528
15432200
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.2.0.49743
USAColliersLeroy
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
USAColliersLeroy_ExportFeatures
Feature Class
0
OBJECTID
ID
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
128
0
0
officeemail
OfficeEmail
String
128
0
0
phonenumber
PhoneNumber
String
128
0
0
faxnumber
FaxNumber
String
128
0
0
imageurl
ImageUrl
String
128
0
0
region
Region
String
128
0
0
territory
Territory
String
128
0
0
displayaddress
DisplayAddress
String
128
0
0
officetype
OfficeType
String
128
0
0
market
Market
String
128
0
0
country
Country
String
128
0
0
metroarea
MetroArea
String
128
0
0
marketleadername
MarketLeaderName
String
128
0
0
lat_range
Lat
Double
8
0
0
long_range
Long
Double
8
0
0
offpres
How Many Office Presentations Done
SmallInteger
2
0
0
offfeedback
Office Presentation Feedback
String
255
0
0
lastoffpres
Last Office Presentation Date
Date
8
0
0
teampres
How Many Team Presentations Done
SmallInteger
2
0
0
teamfeedback
Team Presentation Feedback
String
255
0
0
lastteampres
Last Team Presentation Date
Date
8
0
0
indpres
How Many Individual Presentations Done
SmallInteger
2
0
0
indfeedback
Individual Presentation Feedback
String
255
0
0
lastindpres
Last Individual Presentation Date
Date
8
0
0
20240528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