20230911
11060500
1.0
FALSE
risorse_idriche.abdac.bacini_prioritari_PGRA
002
Server=10.20.1.69; Service=sde:postgresql:10.20.1.69,5432; Database=risorse_idriche; User=abdac; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_33N
<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/3.1.0'><WKT>PROJCS["ETRS_1989_UTM_Zone_33N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25833]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>25833</WKID><LatestWKID>25833</LatestWKID></ProjectedCoordinateSystem>
CopyFeatures bacini_prioritari_PGRA A:\4_PUBLIC\TEMATICI\T00_CARTE_DI_BASE\10.20.1.69,5432.sde\risorse_idriche.abdac.bacini_prioritari\risorse_idriche.abdac.bacini_prioritari_PGRA # # # #
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>risorse_idriche.abdac.bacini_prioritari</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6846396850756b774a4f625777735a666675666c7648474435676f73445432645744544865477a654b4770553d2a00;ENCRYPTED_PASSWORD=00022e68747264652f694d30637750496a504a74526c2b4475346931774755336e7333726441766d705236444a654d3d2a00;SERVER=10.20.1.69;INSTANCE=sde:postgresql:10.20.1.69,5432;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=10.20.1.69,5432;DATABASE=risorse_idriche;USER=abdac;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>risorse_idriche.abdac.bacini_prioritari_PGRA</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>visual</field_name><field_type>SHORT</field_type><field_precision>5</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>risorse_idriche.abdac.bacini_prioritari</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6846396850756b774a4f625777735a666675666c7648474435676f73445432645744544865477a654b4770553d2a00;ENCRYPTED_PASSWORD=00022e68747264652f694d30637750496a504a74526c2b4475346931774755336e7333726441766d705236444a654d3d2a00;SERVER=10.20.1.69;INSTANCE=sde:postgresql:10.20.1.69,5432;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=10.20.1.69,5432;DATABASE=risorse_idriche;USER=abdac;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>risorse_idriche.abdac.bacini_prioritari_PGRA</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>visual</field_name><field_type>SHORT</field_type><field_precision>5</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>risorse_idriche.abdac.bacini_prioritari</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6846396850756b774a4f625777735a666675666c7648474435676f73445432645744544865477a654b4770553d2a00;ENCRYPTED_PASSWORD=00022e68747264652f694d30637750496a504a74526c2b4475346931774755336e7333726441766d705236444a654d3d2a00;SERVER=10.20.1.69;INSTANCE=sde:postgresql:10.20.1.69,5432;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=10.20.1.69,5432;DATABASE=risorse_idriche;USER=abdac;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>risorse_idriche.abdac.bacini_prioritari_PGRA</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>visual</field_name><field_type>SHORT</field_type><field_precision>5</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField "IDROLOGIA\Reticolo idrografico superficiale (Corpi idrici superficiali)\Bacini prioritari" visual !visual!.index() "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField "IDROLOGIA\Reticolo idrografico superficiale (Corpi idrici superficiali)\Bacini prioritari" visual !objectid_1! "Python 3" # Text NO_ENFORCE_DOMAINS
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>risorse_idriche.abdac.bacini_prioritari</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6846396850756b774a4f625777735a666675666c7648474435676f73445432645744544865477a654b4770553d2a00;ENCRYPTED_PASSWORD=00022e68747264652f694d30637750496a504a74526c2b4475346931774755336e7333726441766d705236444a654d3d2a00;SERVER=10.20.1.69;INSTANCE=sde:postgresql:10.20.1.69,5432;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=10.20.1.69,5432;DATABASE=risorse_idriche;USER=abdac;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>risorse_idriche.abdac.bacini_prioritari_PGRA</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>Field</field_name><field_type>LONG</field_type><field_precision>10</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
AddRelate "Bacini idrografici\Bacini prioritari" bac_prior "Bacini idrografici\Fiumi prioritari" bac_prior Relate1 "One to one"
RemoveRelate "Bacini idrografici\Bacini prioritari" Relate1
AddRelate "Bacini idrografici\Bacini prioritari" bac_prior "Bacini idrografici\Fiumi prioritari" bac_prior Relate1 "One to many"
RemoveRelate "Bacini idrografici\Bacini prioritari" Relate1
AddRelate "Bacini idrografici\Bacini prioritari" bac_prior "Bacini idrografici\Fiumi prioritari" bac_prior RL_bac_fiumi "One to one"
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>risorse_idriche.abdac.bacini_prioritari</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6846396850756b774a4f625777735a666675666c7648474435676f73445432645744544865477a654b4770553d2a00;ENCRYPTED_PASSWORD=00022e68747264652f694d30637750496a504a74526c2b4475346931774755336e7333726441766d705236444a654d3d2a00;SERVER=10.20.1.69;INSTANCE=sde:postgresql:10.20.1.69,5432;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=10.20.1.69,5432;DATABASE=risorse_idriche;USER=abdac;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>risorse_idriche.abdac.bacini_prioritari_PGRA</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>Field1</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 1 Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 10 Arcade 10 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 11 Arcade 10 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 13 Arcade 10 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 9 Arcade 10 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 8 Arcade 10 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 7 Arcade 10 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 6 Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 5 Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 5 Arcade 5 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 8 Arcade 5 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 4 Arcade 5 Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 3 Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 2 Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "layer di lavoro\Bacini idrografici (dlgs 152/2006)" field 11 Arcade # Text NO_ENFORCE_DOMAINS
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>risorse_idriche.abdac.bacini_prioritari</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6846396850756b774a4f625777735a666675666c7648474435676f73445432645744544865477a654b4770553d2a00;ENCRYPTED_PASSWORD=00022e68747264652f694d30637750496a504a74526c2b4475346931774755336e7333726441766d705236444a654d3d2a00;SERVER=10.20.1.69;INSTANCE=sde:postgresql:10.20.1.69,5432;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=10.20.1.69,5432;DATABASE=risorse_idriche;USER=abdac;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>risorse_idriche.abdac.bacini_prioritari_PGRA</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>field</field_name></DeleteField></workflow></operationSequence>
RemoveRelate "Bacini idrografici\Bacini prioritari" #
AddRelate "Bacini idrografici\Bacini prioritari" bac_prior "Bacini idrografici\Fiumi prioritari" bac_prior Relate1-BaciniPrior-FiumiPrior "One to many"
AddRelate "Bacini idrografici\Bacini minori" bac_prior "Bacini idrografici\Fiumi prioritari" bac_prior Relate2-BaciniMin-FiumiPrior "One to many"
RemoveRelate "Bacini idrografici\Bacini minori" Relate1
RemoveRelate "Bacini idrografici\Bacini minori" Relate2-BaciniMin-FiumiPrior
CalculateField "Bacini idrografici\Bacini minori" bacino '-' Arcade # Text NO_ENFORCE_DOMAINS
RemoveRelate "Bacini prioritari" Relate1-BaciniPrior-FiumiPrior
AddRelate "Bacini prioritari" descr_bac "Fiumi prioritari" bac_prior Relate1-BacPrior-FiuPrior "One to many"
RemoveRelate "Bacini idrografici\Bacini prioritari" #
RemoveRelate "Corpi idrici sotterranei\Bacini prioritari" #
AddRelate "Bacini idrografici\Bacini prioritari" descr_bac "Corpi idrici superficiali\Fiumi" bacino_prioritario Relate1-BacPrior-FiuPrior "One to many"
CalculateField "Bacini idrografici\Bacini prioritari" densita "$feature.abitanti / $feature.sup_kmq" Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "Bacini idrografici\Bacini prioritari" densita "$feature.abitanti / $feature.sup_kmq" Arcade # Text NO_ENFORCE_DOMAINS
CalculateGeometryAttributes "Bacini idrografici\Bacini prioritari" "perimetro PERIMETER_LENGTH_GEODESIC" Kilometers # PROJCS["ETRS_1989_UTM_Zone_33N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "Same as input"
CalculateField "Bacini idrografici\Bacini minori" abitanti 97 Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "Bacini idrografici\Bacini minori" sup_kmq 0.29 Arcade # Text NO_ENFORCE_DOMAINS
CalculateField "Bacini idrografici\Bacini minori" densita "$feature.abitanti / $feature.sup_kmq" Arcade # Text NO_ENFORCE_DOMAINS
CalculateGeometryAttributes "Bacini idrografici\Bacini minori" "perimetro PERIMETER_LENGTH_GEODESIC" Kilometers # PROJCS["ETRS_1989_UTM_Zone_33N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "Same as input"
CalculateField "Bacini idrografici\Bacini minori" perimetro 6.38 Arcade # Text NO_ENFORCE_DOMAINS
20230911
11063300
20230911
11063300
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.2.41833
Bacini prioritari
Enterprise Geodatabase Feature Class
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
risorse_idriche.abdac.bacini_prioritari_PGRA
Feature Class
0
objectid_1
objectid_1
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
objectid
OBJECTID
Integer
4
10
0
descr_bac
DESCR_BAC
String
150
0
0
sub_distre
SUB_DISTRE
String
80
0
0
bacino
BACINO
String
80
0
0
sottobac
SOTTOBAC
String
80
0
0
bac_prior
bac-prior
String
254
0
0
sup_kmq
sup-kmq
Double
8
38
8
shape
shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
st_area(shape)
st_area(shape)
Double
0
0
0
st_length(shape)
st_length(shape)
Double
0
0
0
20230911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