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One issue I run into is having databases with large numbers of tables that are user-specific and necessary architecturally. A good solution for me has been using PyCharm/JetBrains products as their database connected allows you to set a regex on which tables to include in the schema. This lets me filter out all of those needless tables and only access the core that I need.
The text was updated successfully, but these errors were encountered:
One issue I run into is having databases with large numbers of tables that are user-specific and necessary architecturally. A good solution for me has been using PyCharm/JetBrains products as their database connected allows you to set a regex on which tables to include in the schema. This lets me filter out all of those needless tables and only access the core that I need.
The text was updated successfully, but these errors were encountered: