20220321
11305200
1.0
FALSE
gisdb.iat.balneabilidade_atual
002
Server=10.71.10.202; Service=sde:postgresql:10.71.10.202; Database=gisdb; User=iat; Version=sde.DEFAULT
ArcSDE Connection
Geographic
GCS_SIRGAS_2000
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/3.0.0'><WKT>GEOGCS["GCS_SIRGAS_2000",DATUM["D_SIRGAS_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4674]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
ExportFeatures balneabilidade C:\Users\leandro.bs\AppData\Local\Temp\ArcGISProTemp12724\dbc091c3-281c-4941-8dbc-f11274ebfd5c\10.71.10.202.sde\gisdb.iat.D50_GAT_Monitoramento\gisdb.iat.balneabilidade_atual # NOT_USE_ALIAS "COD "COD" true true false 6 Text 0 0,First,#,balneabilidade,COD,0,6;COD_1 "COD_1" true true false 254 Text 0 0,First,#,balneabilidade,COD_1,0,254;REGIAO "REGIAO" true true false 254 Text 0 0,First,#,balneabilidade,REGIAO,0,254;MUNICIPIO "MUNICIPIO" true true false 254 Text 0 0,First,#,balneabilidade,MUNICIPIO,0,254;PRAIA_RIO "PRAIA_RIO" true true false 254 Text 0 0,First,#,balneabilidade,PRAIA_RIO,0,254;LOCAL "LOCAL" true true false 254 Text 0 0,First,#,balneabilidade,LOCAL,0,254;B1 "B1" true true false 254 Text 0 0,First,#,balneabilidade,B1,0,254;B2 "B2" true true false 254 Text 0 0,First,#,balneabilidade,B2,0,254;B3 "B3" true true false 254 Text 0 0,First,#,balneabilidade,B3,0,254;B4 "B4" true true false 254 Text 0 0,First,#,balneabilidade,B4,0,254;B5 "B5" true true false 254 Text 0 0,First,#,balneabilidade,B5,0,254;B6 "B6" true true false 254 Text 0 0,First,#,balneabilidade,B6,0,254;B7 "B7" true true false 254 Text 0 0,First,#,balneabilidade,B7,0,254;B8 "B8" true true false 254 Text 0 0,First,#,balneabilidade,B8,0,254;B9 "B9" true true false 254 Text 0 0,First,#,balneabilidade,B9,0,254;B10 "B10" true true false 254 Text 0 0,First,#,balneabilidade,B10,0,254;ANO1 "ANO" true true false 256 Text 0 0,First,#,balneabilidade,ANO1,0,256;cod_ibge "Código IBGE" true true false 256 Text 0 0,First,#,balneabilidade,cod_ibge,0,256;b1_data "B1 Data" true true false 8 Date 0 0,First,#,balneabilidade,b1_data,-1,-1;b2_data "B2 Data" true true false 8 Date 0 0,First,#,balneabilidade,b2_data,-1,-1;b3_data "B3 Data" true true false 8 Date 0 0,First,#,balneabilidade,b3_data,-1,-1;b4_data "B4 Data" true true false 8 Date 0 0,First,#,balneabilidade,b4_data,-1,-1;b5_data "B5 Data" true true false 8 Date 0 0,First,#,balneabilidade,b5_data,-1,-1;b6_data "B6 Data" true true false 8 Date 0 0,First,#,balneabilidade,b6_data,-1,-1;b7_data "B7 Data" true true false 8 Date 0 0,First,#,balneabilidade,b7_data,-1,-1;b8_data "B8 Data" true true false 8 Date 0 0,First,#,balneabilidade,b8_data,-1,-1;b9_data "B9 Data" true true false 8 Date 0 0,First,#,balneabilidade,b9_data,-1,-1;b10_data "B10 Data" true true false 8 Date 0 0,First,#,balneabilidade,b10_data,-1,-1;latitude "Latitude" true true false 0 Double 0 0,First,#,balneabilidade,latitude,-1,-1;longitude "Longitude" true true false 0 Double 0 0,First,#,balneabilidade,longitude,-1,-1" #
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/3.2.0'><FeatureDataset>gisdb.iat.D50_GAT_Monitoramento</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e686733444a6a4f485a39594d316948467173342f3261706b677661474738505a333663712f546134616941633d2a00;ENCRYPTED_PASSWORD=00022e684c762f4f614a78516d44655432765a69716b674b56482b41426e6932572f547a45397745417279454757453d2a00;SERVER=10.71.10.202;INSTANCE=sde:postgresql:10.71.10.202;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=10.71.10.202;DATABASE=gisdb;USER=iat;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>gisdb.iat.balneabilidade_atual</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>b11</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><workflow><AddField><field_name>b11_data</field_name><field_type>DATE</field_type><field_precision>0</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
20221212
07422700
20221212
07422700
Esri ArcGIS 12.8.3.29751
balneabilidade
Balneabilidade
Aplicativo de Balneabilidade
Enterprise Geodatabase Feature Class
dataset
EPSG
6.11(9.2.0)
0
Simple
FALSE
0
TRUE
TRUE
gisdb.iat.balneabilidade_atual
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.
COD
COD
String
6
0
0
COD_1
COD_1
String
254
0
0
REGIAO
REGIAO
String
254
0
0
MUNICIPIO
MUNICIPIO
String
254
0
0
PRAIA_RIO
PRAIA_RIO
String
254
0
0
LOCAL
LOCAL
String
254
0
0
B1
B1
String
254
0
0
B2
B2
String
254
0
0
B3
B3
String
254
0
0
B4
B4
String
254
0
0
B5
B5
String
254
0
0
B6
B6
String
254
0
0
B7
B7
String
254
0
0
B8
B8
String
254
0
0
B9
B9
String
254
0
0
B10
B10
String
254
0
0
ANO1
ANO
String
256
0
0
cod_ibge
Código IBGE
String
256
0
0
b1_data
B1 Data
Date
8
0
0
b2_data
B2 Data
Date
8
0
0
b3_data
B3 Data
Date
8
0
0
b4_data
B4 Data
Date
8
0
0
b5_data
B5 Data
Date
8
0
0
b6_data
B6 Data
Date
8
0
0
b7_data
B7 Data
Date
8
0
0
b8_data
B8 Data
Date
8
0
0
b9_data
B9 Data
Date
8
0
0
b10_data
B10 Data
Date
8
0
0
latitude
Latitude
Double
8
38
8
longitude
Longitude
Double
8
38
8
20221212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