read_sql_table add argument skip_chunks
`read_sql_table` in pandas is much nicer than using raw SQLAlchemy API and likely has better performance.
But when reading large tables, `chunksize` is unavoidable.

Can I suggest an option to read with `skip_chunks`, like `skip_rows` in `read_csv`?

Right now I'm doing next(chunk), but really do not need all the chunks. 