| // 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 std::any::Any; |
| use std::sync::Arc; |
| |
| use arrow::array::{ArrayRef, AsArray, BooleanArray}; |
| use arrow::datatypes::DataType::{Boolean, Float32, Float64}; |
| use arrow::datatypes::{DataType, Float32Type, Float64Type}; |
| |
| use datafusion_common::{exec_err, Result}; |
| use datafusion_expr::TypeSignature::Exact; |
| use datafusion_expr::{ |
| ColumnarValue, Documentation, ScalarFunctionArgs, ScalarUDFImpl, Signature, |
| Volatility, |
| }; |
| use datafusion_macros::user_doc; |
| |
| use crate::utils::make_scalar_function; |
| |
| #[user_doc( |
| doc_section(label = "Math Functions"), |
| description = "Returns true if a given number is +0.0 or -0.0 otherwise returns false.", |
| syntax_example = "iszero(numeric_expression)", |
| sql_example = r#"```sql |
| > SELECT iszero(0); |
| +------------+ |
| | iszero(0) | |
| +------------+ |
| | true | |
| +------------+ |
| ```"#, |
| standard_argument(name = "numeric_expression", prefix = "Numeric") |
| )] |
| #[derive(Debug, PartialEq, Eq, Hash)] |
| pub struct IsZeroFunc { |
| signature: Signature, |
| } |
| |
| impl Default for IsZeroFunc { |
| fn default() -> Self { |
| IsZeroFunc::new() |
| } |
| } |
| |
| impl IsZeroFunc { |
| pub fn new() -> Self { |
| use DataType::*; |
| Self { |
| signature: Signature::one_of( |
| vec![Exact(vec![Float32]), Exact(vec![Float64])], |
| Volatility::Immutable, |
| ), |
| } |
| } |
| } |
| |
| impl ScalarUDFImpl for IsZeroFunc { |
| fn as_any(&self) -> &dyn Any { |
| self |
| } |
| |
| fn name(&self) -> &str { |
| "iszero" |
| } |
| |
| fn signature(&self) -> &Signature { |
| &self.signature |
| } |
| |
| fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> { |
| Ok(Boolean) |
| } |
| |
| fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result<ColumnarValue> { |
| make_scalar_function(iszero, vec![])(&args.args) |
| } |
| |
| fn documentation(&self) -> Option<&Documentation> { |
| self.doc() |
| } |
| } |
| |
| /// Iszero SQL function |
| pub fn iszero(args: &[ArrayRef]) -> Result<ArrayRef> { |
| match args[0].data_type() { |
| Float64 => Ok(Arc::new(BooleanArray::from_unary( |
| args[0].as_primitive::<Float64Type>(), |
| |x| x == 0.0, |
| )) as ArrayRef), |
| |
| Float32 => Ok(Arc::new(BooleanArray::from_unary( |
| args[0].as_primitive::<Float32Type>(), |
| |x| x == 0.0, |
| )) as ArrayRef), |
| |
| other => exec_err!("Unsupported data type {other:?} for function iszero"), |
| } |
| } |
| |
| #[cfg(test)] |
| mod test { |
| use std::sync::Arc; |
| |
| use arrow::array::{ArrayRef, Float32Array, Float64Array}; |
| |
| use datafusion_common::cast::as_boolean_array; |
| |
| use crate::math::iszero::iszero; |
| |
| #[test] |
| fn test_iszero_f64() { |
| let args: Vec<ArrayRef> = |
| vec![Arc::new(Float64Array::from(vec![1.0, 0.0, 3.0, -0.0]))]; |
| |
| let result = iszero(&args).expect("failed to initialize function iszero"); |
| let booleans = |
| as_boolean_array(&result).expect("failed to initialize function iszero"); |
| |
| assert_eq!(booleans.len(), 4); |
| assert!(!booleans.value(0)); |
| assert!(booleans.value(1)); |
| assert!(!booleans.value(2)); |
| assert!(booleans.value(3)); |
| } |
| |
| #[test] |
| fn test_iszero_f32() { |
| let args: Vec<ArrayRef> = |
| vec![Arc::new(Float32Array::from(vec![1.0, 0.0, 3.0, -0.0]))]; |
| |
| let result = iszero(&args).expect("failed to initialize function iszero"); |
| let booleans = |
| as_boolean_array(&result).expect("failed to initialize function iszero"); |
| |
| assert_eq!(booleans.len(), 4); |
| assert!(!booleans.value(0)); |
| assert!(booleans.value(1)); |
| assert!(!booleans.value(2)); |
| assert!(booleans.value(3)); |
| } |
| } |