adriangb commented on PR #12606:
URL: https://github.com/apache/datafusion/pull/12606#issuecomment-2379279428
Here's an example:
```rust
use std::sync::Arc;
use arrow_schema::{DataType, Field, Schema};
use datafusion::{common::DFSchema,
physical_optimizer::pruning::PruningPredicate, prelude::*};
fn main() {
let sql = "col = ANY([1, 2])";
let ctx = SessionContext::new();
let schema = Arc::new(Schema::new(vec![Field::new("col",
DataType::Int32, true)]));
let df_schema = DFSchema::try_from(schema.clone()).unwrap();
// An expression that PruningPredicate doesn't understand becomes `true`
let expr = ctx.parse_sql_expr(sql, &df_schema).unwrap();
println!("expr: {:?}", expr);
let phys_expr = ctx.create_physical_expr(expr, &df_schema).unwrap();
println!("phys_expr: {:?}", phys_expr);
let pruning = PruningPredicate::try_new(phys_expr,
schema.clone()).unwrap();
let pruning_expr = pruning.predicate_expr().clone();
println!("pruning_expr: {:?}", pruning_expr);
// pruning_expr: Literal { value: Boolean(true) }
// An expression referencing columns that don't have statistics
collected (i.e. aren't int the schema)
// causes an Err
let expr = ctx.parse_sql_expr("other = 1", &df_schema).unwrap();
println!("expr: {:?}", expr);
let phys_expr = ctx.create_physical_expr(expr, &df_schema).unwrap();
println!("phys_expr: {:?}", phys_expr);
PruningPredicate::try_new(phys_expr, schema.clone()).unwrap();
// SchemaError(FieldNotFound { field: Column { relation: None, name:
"other" }, valid_fields: [Column { relation: None, name: "col" }] }, Some(""))
}
```
If I do the rewrite before PruningPredicate then I end up with just `true`.
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