Dandandan commented on a change in pull request #500:
URL: https://github.com/apache/arrow-datafusion/pull/500#discussion_r645126489
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File path: datafusion/src/physical_optimizer/pruning.rs
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@@ -391,28 +502,50 @@ fn rewrite_column_expr(
fn build_predicate_expression(
expr: &Expr,
schema: &Schema,
- stat_column_req: &mut Vec<(String, StatisticsType, Field)>,
+ required_columns: &mut RequiredStatColumns,
) -> Result<Expr> {
use crate::logical_plan;
+
+ // Returned for unsupported expressions. Such expressions are
+ // converted to TRUE. This can still be useful when multiple
+ // conditions are joined using AND such as: column > 10 AND TRUE
+ let unhandled = logical_plan::lit(true);
+
// predicate expression can only be a binary expression
let (left, op, right) = match expr {
Expr::BinaryExpr { left, op, right } => (left, *op, right),
+ Expr::Column(name) => {
+ if let Some(expr) =
+ build_single_column_expr(&name, schema, required_columns,
false)
Review comment:
This kind of pattern probably can be written a bit shorter with some
combinators. Something like:
`build_single_column_expr(&name, schema,
required_columns).ok().or(Ok(unhandled))`
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