The current Connector Schema UI includes a helpful feature that allows users to search for tables by name. However, when dealing with tables that have hundreds of columns, it becomes challenging to manually scroll through the list to find and select specific columns. Adding the ability to search for column names would make the UI far more user-friendly, saving time and reducing the chance of missing critical fields.

Proposed Solution:
There are two possible approaches to implement this feature:

1. Add a Separate Column Search Bar:

   • Place a new column search bar alongside the current table search functionality or within the column list for expanded tables.
   • Users could use this bar to dynamically filter and display matching column names within the expanded table(s).

2. Enhance the Existing Table Search Bar:

   • Allow the existing search bar to filter both table names and column names.
   • If the search term matches a column name within an expanded table, highlight the matching column(s) in the results, enabling users to quickly locate and select them.
   • The search results should show both relevant tables and columns together to unify the search process.

Use Cases and Benefits:

• Improved Workflow Efficiency:
  • When tables contain hundreds of columns, as shown in the attached example, searching for a specific column is tedious without a search function. This enhancement would significantly reduce scrolling and manual effort.
• Enhanced User Experience:
  • Users can more easily locate the exact fields they need, minimizing the risk of overlooking important columns.
• Scalability:
  • This feature is particularly beneficial for large-scale databases with extensive schemas and tables.

Example Scenario:
In a case like the one shown in the attached screenshot, where the table SROORSHE has 244 columns, searching for a specific column would save time compared to manually scrolling and hunting through the list.

Impact:
This feature would streamline schema management, make the configuration process much faster, and reduce friction for users working with large datasets.

Thank you for considering this improvement!