But hopefully that helps and answers your question a little bit. PLSQL and PLSQL sub-program - The SQL oracle package for the. The project is still very young, and will add more features and more data points to make it more helpful for people moving forward. alias to the definition of the data dictionary other than the storage is not required. The hope is to get both analysts and developers to use this resource to quickly understand the contents, shape, and location of our data in our reporting databases. As well as look at table size, row count, index columns (where applicable), and example records for each table. The user can do things like filter for tables by table name or column name. He is using D3 (a JavaScript library) to read in my JSON files that are generated from my Python code, and display the data in an interactive user interface. Query select kcu.tableschema, kcu.tablename, tco.constraintname, stringagg(kcu. Those json files are then read in by a user interface that was created by one of our front end engineers. Query below lists all primary keys constraints (PK) in the database.See also: tables with their primary keys. The json files will be refreshed by scheduling the Python scripts to run on a GitHub action. Run the following script to generate the data dictionary and save the results to a file with an. Not sure what the equivalent in Azure is, but I use Python to query the Postgres system tables to extract some helpful information for each table: That data is stored in JSON files. youll need a centralized data dictionary tool to assimilate all data sources. I use SQL and Python as well, but the data dictionary is describing our Postgres reporting databases. Accessing PostgreSQL data dictionary with Amazon RDS. I am working currently working on a data dictionary at my job (Jr.
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