I am trying to load a Tree View dynamically by pulling data from an SQL database using C#. I have prepared two different table formats designed to support a hierarchical display in the Tree View. Despite searching various online resources, I have not found a solution that exactly meets my requirements. I would be grateful for any assistance or guidance on how to implement this dynamic integration, ensuring that data retrieved from my SQL database correctly populates the Tree View structure in my C# application.
I implemented a similar solution by first establishing a clear relationship between parent and child records within the SQL query itself. After retrieving the data, I built a method that not only separated the primary records from the child entries but also inserted each node into the Tree View while maintaining the hierarchy. I made sure that the method handled all possible exceptions and properly updated the UI thread when adding nodes. This approach minimized performance issues and made debugging much more straightforward.
hey, i resolved mine by integrating lazy load so that nodes fetch their childs only when expanded. works fine but i wonder how it scales with larger datasets. has anyone tried async patterns in this setup? would love to hear your experences
I encountered a similar challenge and resolved it by first retrieving all records into memory and then organizing them using an intermediate data structure. I stored the nodes in a dictionary keyed by their unique identifiers and inserted them into the Tree View by iterating through the dataset, linking child records to their corresponding parents. This approach allowed me to bypass recursive insertion and significantly improve performance. The key was to ensure that the SQL query returned records in a logical order, which streamlined the process and simplified error management.
hey, try a recusrive functon to add each hierachical node. i solved similar issue by iterating through your sql results and creating nodes on the fly. make sure u handle null values and proper closing of connections. hope it helps!
try converting your sql reslts to json then load tree nodes recusrively. i used async calls to defer loading child nodes which helped with ui lag. might be worth a shot if u hav similar issues