use crate::planner::{ContextProvider, PlannerContext, SqlToRel};
use datafusion_common::plan_err;
use datafusion_common::{DFSchema, Result};
use datafusion_expr::{Expr, GroupingSet};
use sqlparser::ast::Expr as SQLExpr;
impl<'a, S: ContextProvider> SqlToRel<'a, S> {
pub(super) fn sql_grouping_sets_to_expr(
&self,
exprs: Vec<Vec<SQLExpr>>,
schema: &DFSchema,
planner_context: &mut PlannerContext,
) -> Result<Expr> {
let args: Result<Vec<Vec<_>>> = exprs
.into_iter()
.map(|v| {
v.into_iter()
.map(|e| self.sql_expr_to_logical_expr(e, schema, planner_context))
.collect()
})
.collect();
Ok(Expr::GroupingSet(GroupingSet::GroupingSets(args?)))
}
pub(super) fn sql_rollup_to_expr(
&self,
exprs: Vec<Vec<SQLExpr>>,
schema: &DFSchema,
planner_context: &mut PlannerContext,
) -> Result<Expr> {
let args: Result<Vec<_>> = exprs
.into_iter()
.map(|v| {
if v.len() != 1 {
plan_err!(
"Tuple expressions are not supported for Rollup expressions"
)
} else {
self.sql_expr_to_logical_expr(v[0].clone(), schema, planner_context)
}
})
.collect();
Ok(Expr::GroupingSet(GroupingSet::Rollup(args?)))
}
pub(super) fn sql_cube_to_expr(
&self,
exprs: Vec<Vec<SQLExpr>>,
schema: &DFSchema,
planner_context: &mut PlannerContext,
) -> Result<Expr> {
let args: Result<Vec<_>> = exprs
.into_iter()
.map(|v| {
if v.len() != 1 {
plan_err!("Tuple expressions not are supported for Cube expressions")
} else {
self.sql_expr_to_logical_expr(v[0].clone(), schema, planner_context)
}
})
.collect();
Ok(Expr::GroupingSet(GroupingSet::Cube(args?)))
}
}