Does Rowpath upload my data?
Rowpath import, export, SQL, and workflow paths operate on local files and local processing. Normal dataset work is local-first. Rowpath stores access to user-selected files and destinations so workflows can run again.
Does Rowpath modify my original files?
Opening a file and creating Working Views does not rewrite the original file. To write output, use Export or create a derived result and export it.
What are Working Views?
Working Views are non-destructive stacks of operations such as filters, sorts, duplicate analysis, calculated columns, and compatible SQL. They let you explore or clean data while keeping the source unchanged.
What is Memory Mode?
Memory Mode is the Load Into Memory action. It loads a dataset into an in-memory table to improve repeated full-file operations. Rowpath shows estimated memory, available memory, expected benefit, and risk before or during the process.
How large can a file be?
Rowpath includes large-file preview, optimized local backing, and stress QA scenarios up to large row counts, but it does not define a public maximum file size. Actual performance depends on file format, operation type, available memory, and whether the dataset is preview-backed, optimized, or loaded into memory.
When should I use SQL?
Use SQL when you need a custom query, summary, comparison, cleanup projection, or repeatable query-based workflow. Use current_data as the active table name.
When should I use a Workflow?
Use a Workflow when you repeat the same set of steps, such as importing, validating, cleaning, creating a result, and exporting.
Which formats can Rowpath open?
Rowpath can import CSV, TSV, delimited text/plain text, Excel Workbook (.xlsx), JSON, NDJSON/JSON Lines, Parquet, HTML tables, and Markdown tables.
Which formats can Rowpath export?
Rowpath can export CSV, TSV, Excel Workbook, JSON, NDJSON/JSON Lines, Markdown, HTML, XML, and Parquet. Some export formats may require Rowpath Pro.
Can SQL results become Working Views?
Only row-preserving SQL can become a Working View. A compatible query selects the existing columns from current_data and only filters, sorts, or limits rows. Shape-changing SQL should be saved as a derived result.
Why are renaming, hiding, and reordering columns fast?
These changes affect column layout rather than row values. Rowpath can apply them immediately because they do not require scanning or rewriting the dataset.