Listing all feature classes in an Enterprise Database

Thiru_P

Hi all,

TLDR; how do you create a list of data sets that lists everything in an enterprise geodatabase, schemawise?

 

I would like to generate a list of all the data sets (e.g, relationship classes, tables, feature classes, including the feature classes within Feature Datasets) in an enterprise database in each schema (.sde connection file) periodically.

I have used the arcpy.da.Walk module with keyword "Any" and with each datatype mentioned; no success yet.

Software used:
Python 3.7.11
PostgresSQL 11.16
PostGIS 2.4.5
ArcSDE Geodatabase 10.7.1

This is the code that I tried so far.

 

 

# -*- coding: utf-8 -*-
"""
Lists the contents of Cloud Enterprise DataBase (CEDB) and writes into an MS Excel
Sorts in an alphabetical ascending order

Created on  09 May 2021
Last update 24 Nov 2022

@author: thiru
"""

#List the contents of CEDB UAT

#import modules
import arcpy
import pandas as pd
import re
import openpyxl

#assign maximum processing power
arcpy.env.parallelProcessingFactor = "100%"

###List the folder where the sde connection files are
sdeDir = r"C:/SDE/"

##CEDB schemas as sde connection files
workspaceList = [
"alpha@cedb(uat).sde",
"beta@cedb(uat).sde",
"gamma@cedb(uat).sde",
"theta@cedb(uat).sde"
]

vardatatype = [
'CadDrawing',
'CadastralFabric',
'Container',
'FeatureDataset',
'FeatureClass',
'GeometricNetwork',
'LasDataset',
'Layer',
'Locator',
'Map',
'MosaicDataset',
'NetworkDataset',
'PlanarGraph',
'RasterCatalog',
'RasterDataset',
'RelationshipClass',
'RepresentationClass',
'Style',
'Table',
'Terrain',
'Text',
'Tin',
'Tool',
'Toolbox',
'Topology'
]

#create empty sets, this will remove duplicates
files = []
schemas = []
#iterate through each schema and list contents
for ws in workspaceList:
    workspace = sdeDir + ws
    da_owner= ws[:ws.index("@")]
    print (workspace)
    schemas.append(workspace)
    for dt in vardatatype:
        walk = arcpy.da.Walk(workspace, datatype=[dt])
        for dirpath, dirnames, filenames in walk:
            for filename in filenames:
                filename.lower()
                filename = filename+"."+dt
                files.append(filename)
                print(filename)

df = pd.DataFrame(files)
print("Number of features", len(files))
print("Number of schemas", len(schemas))
#Check if dataframe is empty
if df.empty:
    print('List is empty!')
else:
    # dropping null value columns to avoid errors
    df.dropna(inplace = True)
    #Name the column name
    df.columns = ['LayerName']
    df[['DbName', 'SchemaName', 'Layer', 'DataType']] = df['LayerName'].str.split('.', expand=True)
    #Remove the redundant column
    df = df.drop(columns=['LayerName'])
    #Sort the columns based on Schema, LayerName
    df.sort_values(by=['SchemaName', 'Layer'], ascending=(True, True), inplace=True, ignore_index=True)
    df.to_excel(r"C:/Temp/Lists/CEDB_alltypes_Listing.xlsx", index = False)

 

 

 

 

 

rzufelt

Does not add the Feature Dataset to the Excel file, but it finds them and adds the contained Feature Classes.

R_