Over the last few years, we provided guidance on how customers could create their own retry logic or reuse existing libraries aimed to simplify this task for them, We decided to provide a better experience incorporating configurable retry logic capabilities in our client drivers portfolio starting with Microsoft.Data.SqlClient v3.0.0-Preview1.
This article showcases how to take advantage of a highly distributed framework provided by spark engine, to load data into a Clustered Columnstore Index of a relational database like SQL Server or Azure SQL Database, by carefully partitioning the data before insertion.