![]() ![]() Some of the ones I run most frequently are: Luckily for us, psql provides a number of powerful and The easiest way to solve these problems is to keep theĭata dictionary directly within the database itself. That kind of documentation error is prevalent in manually Those types of minor changes are both common and incredibly difficult ![]() Had been changed to a plain TIMESTAMP during a laterĭevelopment phase? You have to go manually inspect the databaseĪnd compare it to your static documentation and hope that you Long-term,Ī data dictionary built and maintained manually in a spreadsheetįor example, if an early design designated a column with a The above example in a spreadsheet format is great for initialĭesign purposes, before your database even exists. I introduced a data dictionary using Google Sheets that looked Relationships, and sources of data found inside a system.Ī data dictionary is a "centralized repository of informationĪbout data such as meaning, relationships to other data,įrom Idea to Database: Define, Design, Repeat, Into a database's structure, constraints, Data dictionaries are one importantĪ data dictionary is a common tool used to provide database-specificĭocumentation to analysts, developers, and What is a Data Dictionary?ĭocumentation is a good thing. My 2022 post Postgres Data Dictionary for everyone shows how to use the PgDD extension to make it easy to query data dictionary details using standard SQL sytnax. Specific to PostgreSQL, though every database platform has This post provides an introduction to building a data dictionaryĭirectly in our PostgreSQL databases. By Ryan Lambert - Published September 24, 2018 ![]()
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