Is your feature request related to a problem or challenge?

DataFrame exposes select_columns and select methods. The first of which expects list of columns to be selected, later one expects list of expressions created using logical expression API , which is straight forward but still needs some effort.

Describe the solution you'd like

With parse_sql_expr available, it may make sense to provide select_exprs which would accept list of expressions as strings, and convert them to actual logical expressions.

Something similar to:

pub fn select_exprs(self, exprs: &[&str]) -> Result<DataFrame> {
        let expr_list = exprs
            .iter()
            .map(|e| self.parse_sql_expr(e))
            .collect::<Result<Vec<_>>>()?;

        self.select(expr_list)
}

This would be equivalent to spark dataframe selectExp https://spark.apache.org/docs/3.4.2/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrame.selectExpr.html

Describe alternatives you've considered

No response

Additional context

#12518 looks like there is issue with parse_sql_expr and alias handling