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split expr type and null info to be expr-schemable
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| // Licensed to the Apache Software Foundation (ASF) under one | ||
| // or more contributor license agreements. See the NOTICE file | ||
| // distributed with this work for additional information | ||
| // regarding copyright ownership. The ASF licenses this file | ||
| // to you under the Apache License, Version 2.0 (the | ||
| // "License"); you may not use this file except in compliance | ||
| // with the License. You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, | ||
| // software distributed under the License is distributed on an | ||
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| // KIND, either express or implied. See the License for the | ||
| // specific language governing permissions and limitations | ||
| // under the License. | ||
|
|
||
| use super::Expr; | ||
| use crate::field_util::get_indexed_field; | ||
| use crate::physical_plan::{ | ||
| aggregates, expressions::binary_operator_data_type, functions, window_functions, | ||
| }; | ||
| use arrow::datatypes::DataType; | ||
| use datafusion_common::{DataFusionError, ExprSchema, Result}; | ||
|
|
||
| /// trait to allow expr to typable with respect to a schema | ||
| pub trait ExprSchemable { | ||
| /// given a schema, return the type of the expr | ||
| fn get_type<S: ExprSchema>(&self, schema: &S) -> Result<DataType>; | ||
|
|
||
| /// given a schema, return the nullability of the expr | ||
| fn nullable<S: ExprSchema>(&self, input_schema: &S) -> Result<bool>; | ||
| } | ||
|
|
||
| impl ExprSchemable for Expr { | ||
| /// Returns the [arrow::datatypes::DataType] of the expression | ||
| /// based on [ExprSchema] | ||
| /// | ||
| /// Note: [DFSchema] implements [ExprSchema]. | ||
| /// | ||
| /// # Errors | ||
| /// | ||
| /// This function errors when it is not possible to compute its | ||
| /// [arrow::datatypes::DataType]. This happens when e.g. the | ||
| /// expression refers to a column that does not exist in the | ||
| /// schema, or when the expression is incorrectly typed | ||
| /// (e.g. `[utf8] + [bool]`). | ||
| fn get_type<S: ExprSchema>(&self, schema: &S) -> Result<DataType> { | ||
| match self { | ||
| Expr::Alias(expr, _) | Expr::Sort { expr, .. } | Expr::Negative(expr) => { | ||
| expr.get_type(schema) | ||
| } | ||
| Expr::Column(c) => Ok(schema.data_type(c)?.clone()), | ||
| Expr::ScalarVariable(_) => Ok(DataType::Utf8), | ||
| Expr::Literal(l) => Ok(l.get_datatype()), | ||
| Expr::Case { when_then_expr, .. } => when_then_expr[0].1.get_type(schema), | ||
| Expr::Cast { data_type, .. } | Expr::TryCast { data_type, .. } => { | ||
| Ok(data_type.clone()) | ||
| } | ||
| Expr::ScalarUDF { fun, args } => { | ||
| let data_types = args | ||
| .iter() | ||
| .map(|e| e.get_type(schema)) | ||
| .collect::<Result<Vec<_>>>()?; | ||
| Ok((fun.return_type)(&data_types)?.as_ref().clone()) | ||
| } | ||
| Expr::ScalarFunction { fun, args } => { | ||
| let data_types = args | ||
| .iter() | ||
| .map(|e| e.get_type(schema)) | ||
| .collect::<Result<Vec<_>>>()?; | ||
| functions::return_type(fun, &data_types) | ||
| } | ||
| Expr::WindowFunction { fun, args, .. } => { | ||
| let data_types = args | ||
| .iter() | ||
| .map(|e| e.get_type(schema)) | ||
| .collect::<Result<Vec<_>>>()?; | ||
| window_functions::return_type(fun, &data_types) | ||
| } | ||
| Expr::AggregateFunction { fun, args, .. } => { | ||
| let data_types = args | ||
| .iter() | ||
| .map(|e| e.get_type(schema)) | ||
| .collect::<Result<Vec<_>>>()?; | ||
| aggregates::return_type(fun, &data_types) | ||
| } | ||
| Expr::AggregateUDF { fun, args, .. } => { | ||
| let data_types = args | ||
| .iter() | ||
| .map(|e| e.get_type(schema)) | ||
| .collect::<Result<Vec<_>>>()?; | ||
| Ok((fun.return_type)(&data_types)?.as_ref().clone()) | ||
| } | ||
| Expr::Not(_) | ||
| | Expr::IsNull(_) | ||
| | Expr::Between { .. } | ||
| | Expr::InList { .. } | ||
| | Expr::IsNotNull(_) => Ok(DataType::Boolean), | ||
| Expr::BinaryExpr { | ||
| ref left, | ||
| ref right, | ||
| ref op, | ||
| } => binary_operator_data_type( | ||
| &left.get_type(schema)?, | ||
| op, | ||
| &right.get_type(schema)?, | ||
| ), | ||
| Expr::Wildcard => Err(DataFusionError::Internal( | ||
| "Wildcard expressions are not valid in a logical query plan".to_owned(), | ||
| )), | ||
| Expr::GetIndexedField { ref expr, key } => { | ||
| let data_type = expr.get_type(schema)?; | ||
|
|
||
| get_indexed_field(&data_type, key).map(|x| x.data_type().clone()) | ||
| } | ||
| } | ||
| } | ||
|
|
||
| /// Returns the nullability of the expression based on [ExprSchema]. | ||
| /// | ||
| /// Note: [DFSchema] implements [ExprSchema]. | ||
| /// | ||
| /// # Errors | ||
| /// | ||
| /// This function errors when it is not possible to compute its | ||
| /// nullability. This happens when the expression refers to a | ||
| /// column that does not exist in the schema. | ||
| fn nullable<S: ExprSchema>(&self, input_schema: &S) -> Result<bool> { | ||
| match self { | ||
| Expr::Alias(expr, _) | ||
| | Expr::Not(expr) | ||
| | Expr::Negative(expr) | ||
| | Expr::Sort { expr, .. } | ||
| | Expr::Between { expr, .. } | ||
| | Expr::InList { expr, .. } => expr.nullable(input_schema), | ||
| Expr::Column(c) => input_schema.nullable(c), | ||
| Expr::Literal(value) => Ok(value.is_null()), | ||
| Expr::Case { | ||
| when_then_expr, | ||
| else_expr, | ||
| .. | ||
| } => { | ||
| // this expression is nullable if any of the input expressions are nullable | ||
| let then_nullable = when_then_expr | ||
| .iter() | ||
| .map(|(_, t)| t.nullable(input_schema)) | ||
| .collect::<Result<Vec<_>>>()?; | ||
| if then_nullable.contains(&true) { | ||
| Ok(true) | ||
| } else if let Some(e) = else_expr { | ||
| e.nullable(input_schema) | ||
| } else { | ||
| Ok(false) | ||
| } | ||
| } | ||
| Expr::Cast { expr, .. } => expr.nullable(input_schema), | ||
| Expr::ScalarVariable(_) | ||
| | Expr::TryCast { .. } | ||
| | Expr::ScalarFunction { .. } | ||
| | Expr::ScalarUDF { .. } | ||
| | Expr::WindowFunction { .. } | ||
| | Expr::AggregateFunction { .. } | ||
| | Expr::AggregateUDF { .. } => Ok(true), | ||
| Expr::IsNull(_) | Expr::IsNotNull(_) => Ok(false), | ||
| Expr::BinaryExpr { | ||
| ref left, | ||
| ref right, | ||
| .. | ||
| } => Ok(left.nullable(input_schema)? || right.nullable(input_schema)?), | ||
| Expr::Wildcard => Err(DataFusionError::Internal( | ||
| "Wildcard expressions are not valid in a logical query plan".to_owned(), | ||
| )), | ||
| Expr::GetIndexedField { ref expr, key } => { | ||
| let data_type = expr.get_type(input_schema)?; | ||
| get_indexed_field(&data_type, key).map(|x| x.is_nullable()) | ||
| } | ||
| } | ||
| } | ||
| } |
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