@SakthiGanesh This is a known type of issue when running Databricks Workflows with Azure DevOps Git-backed repos.Did you try, Workspace Path Instead of Internal Git Path?If possible, use a .ipynb notebook-based task rather than a raw .py script, note...
You can try, Office Scripts, "sheet.getUsedRange().getFormat().autofitColumns()" but it requires Microsoft 365 Business Standard, E3, E5, or Education license. Most enterprises would have this, please contact your IT dept to enable Office Scripts in ...
@jv_v There are a few more approaches that you can try which are ideal for large scale scanning, Try using, Unity Catalog System Tables via system.information_schema Instead of <catalog>.information_schema.column_masksIf that doesnt work, use Databri...
@jlynlangford This is a tricky situation, and multiple resolutions can be tried to address the performance gap,Schema Complexity: If the DataFrame contains nested structs, arrays, or map types, collect() can become significantly slower due to complex...
