v0.8.0 Blog

[andyfengHKU]

No description provided.

[royi-luo]

I don't have edit access to this repo to putting my first draft here

Suggested change

	**Skip errorneous rows**
	Previously we have supported skip errorneous rows when bulk inserting into table through CSV and Parquet files. We extend this support to DataFrame in this release.
	**Support skip limit rows**
	**Skip errorneous rows**
	Previously we have supported skip errorneous rows when bulk inserting into tables from files (e.g. CSV and Parquet). We extend this support to Python DataFrames (PyArrow, Polars, Pandas) in this release.
	**Support skip limit rows**
	We now have the ability to use the `SKIP` and `LIMIT` parameters when scanning from Pandas-backed dataframes. The `SKIP` parameter allows the first `n` rows of the dataframe to be skipped, while the `LIMIT` parameter ensures that at most `n` rows of the dataframe are scanned. Before we only supported using those parameters when scanning from PyArrow-backed dataframes, we can use these parameters for all Python Dataframes.