Move nullif and isnan to datafusion-functions (#9216)

* Move nullif and isnan to datafusion-functions

move nullif

* complete

* update tests

* fix

.github/workflows/rust.yml

@@ -82,6 +82,9 @@ jobs:
       - name: Check function packages (encoding_expressions)
         run: cargo check --no-default-features --features=encoding_expressions -p datafusion
 
+      - name: Check function packages (math_expressions)
+        run: cargo check --no-default-features --features=math_expressions -p datafusion
+
       - name: Check function packages (array_expressions)
         run: cargo check --no-default-features --features=array_expressions -p datafusion
 

datafusion/core/Cargo.toml

@@ -47,6 +47,7 @@ default = ["array_expressions", "crypto_expressions", "encoding_expressions", "r
 encoding_expressions = ["datafusion-functions/encoding_expressions"]
 # Used for testing ONLY: causes all values to hash to the same value (test for collisions)
 force_hash_collisions = []
+math_expressions = ["datafusion-functions/math_expressions"]
 parquet = ["datafusion-common/parquet", "dep:parquet"]
 pyarrow = ["datafusion-common/pyarrow", "parquet"]
 regex_expressions = ["datafusion-physical-expr/regex_expressions", "datafusion-optimizer/regex_expressions"]

datafusion/expr/src/built_in_function.rs

@@ -23,7 +23,6 @@ use std::fmt;
 use std::str::FromStr;
 use std::sync::{Arc, OnceLock};
 
-use crate::nullif::SUPPORTED_NULLIF_TYPES;
 use crate::signature::TIMEZONE_WILDCARD;
 use crate::type_coercion::binary::get_wider_type;
 use crate::type_coercion::functions::data_types;
@@ -83,8 +82,6 @@ pub enum BuiltinScalarFunction {
     Gcd,
     /// lcm, Least common multiple
     Lcm,
-    /// isnan
-    Isnan,
     /// iszero
     Iszero,
     /// ln, Natural logarithm
@@ -233,8 +230,6 @@ pub enum BuiltinScalarFunction {
     Ltrim,
     /// md5
     MD5,
-    /// nullif
-    NullIf,
     /// octet_length
     OctetLength,
     /// random
@@ -386,7 +381,6 @@ impl BuiltinScalarFunction {
             BuiltinScalarFunction::Factorial => Volatility::Immutable,
             BuiltinScalarFunction::Floor => Volatility::Immutable,
             BuiltinScalarFunction::Gcd => Volatility::Immutable,
-            BuiltinScalarFunction::Isnan => Volatility::Immutable,
             BuiltinScalarFunction::Iszero => Volatility::Immutable,
             BuiltinScalarFunction::Lcm => Volatility::Immutable,
             BuiltinScalarFunction::Ln => Volatility::Immutable,
@@ -458,7 +452,6 @@ impl BuiltinScalarFunction {
             BuiltinScalarFunction::Lower => Volatility::Immutable,
             BuiltinScalarFunction::Ltrim => Volatility::Immutable,
             BuiltinScalarFunction::MD5 => Volatility::Immutable,
-            BuiltinScalarFunction::NullIf => Volatility::Immutable,
             BuiltinScalarFunction::OctetLength => Volatility::Immutable,
             BuiltinScalarFunction::Radians => Volatility::Immutable,
             BuiltinScalarFunction::RegexpLike => Volatility::Immutable,
@@ -729,11 +722,6 @@ impl BuiltinScalarFunction {
                 utf8_to_str_type(&input_expr_types[0], "ltrim")
             }
             BuiltinScalarFunction::MD5 => utf8_to_str_type(&input_expr_types[0], "md5"),
-            BuiltinScalarFunction::NullIf => {
-                // NULLIF has two args and they might get coerced, get a preview of this
-                let coerced_types = data_types(input_expr_types, &self.signature());
-                coerced_types.map(|typs| typs[0].clone())
-            }
             BuiltinScalarFunction::OctetLength => {
                 utf8_to_int_type(&input_expr_types[0], "octet_length")
             }
@@ -875,7 +863,7 @@ impl BuiltinScalarFunction {
                 _ => Ok(Float64),
             },
 
-            BuiltinScalarFunction::Isnan | BuiltinScalarFunction::Iszero => Ok(Boolean),
+            BuiltinScalarFunction::Iszero => Ok(Boolean),
 
             BuiltinScalarFunction::ArrowTypeof => Ok(Utf8),
 
@@ -1300,9 +1288,6 @@ impl BuiltinScalarFunction {
                 self.volatility(),
             ),
 
-            BuiltinScalarFunction::NullIf => {
-                Signature::uniform(2, SUPPORTED_NULLIF_TYPES.to_vec(), self.volatility())
-            }
             BuiltinScalarFunction::Pi => Signature::exact(vec![], self.volatility()),
             BuiltinScalarFunction::Random => Signature::exact(vec![], self.volatility()),
             BuiltinScalarFunction::Uuid => Signature::exact(vec![], self.volatility()),
@@ -1407,12 +1392,10 @@ impl BuiltinScalarFunction {
                 vec![Int32, Int64, UInt32, UInt64, Utf8],
                 self.volatility(),
             ),
-            BuiltinScalarFunction::Isnan | BuiltinScalarFunction::Iszero => {
-                Signature::one_of(
-                    vec![Exact(vec![Float32]), Exact(vec![Float64])],
-                    self.volatility(),
-                )
-            }
+            BuiltinScalarFunction::Iszero => Signature::one_of(
+                vec![Exact(vec![Float32]), Exact(vec![Float64])],
+                self.volatility(),
+            ),
         }
     }
 
@@ -1478,7 +1461,6 @@ impl BuiltinScalarFunction {
             BuiltinScalarFunction::Factorial => &["factorial"],
             BuiltinScalarFunction::Floor => &["floor"],
             BuiltinScalarFunction::Gcd => &["gcd"],
-            BuiltinScalarFunction::Isnan => &["isnan"],
             BuiltinScalarFunction::Iszero => &["iszero"],
             BuiltinScalarFunction::Lcm => &["lcm"],
             BuiltinScalarFunction::Ln => &["ln"],
@@ -1501,7 +1483,6 @@ impl BuiltinScalarFunction {
 
             // conditional functions
             BuiltinScalarFunction::Coalesce => &["coalesce"],
-            BuiltinScalarFunction::NullIf => &["nullif"],
 
             // string functions
             BuiltinScalarFunction::Ascii => &["ascii"],

datafusion/expr/src/expr_fn.rs

@@ -565,7 +565,6 @@ scalar_expr!(Lcm, lcm, arg_1 arg_2, "least common multiple");
 scalar_expr!(Log2, log2, num, "base 2 logarithm");
 scalar_expr!(Log10, log10, num, "base 10 logarithm");
 scalar_expr!(Ln, ln, num, "natural logarithm");
-scalar_expr!(NullIf, nullif, arg_1 arg_2, "returns NULL if value1 equals value2; otherwise it returns value1. This can be used to perform the inverse operation of the COALESCE expression.");
 scalar_expr!(Power, power, base exponent, "`base` raised to the power of `exponent`");
 scalar_expr!(Atan2, atan2, y x, "inverse tangent of a division given in the argument");
 scalar_expr!(
@@ -932,12 +931,6 @@ scalar_expr!(Now, now, ,"returns current timestamp in nanoseconds, using the sam
 scalar_expr!(CurrentTime, current_time, , "returns current UTC time as a [`DataType::Time64`] value");
 scalar_expr!(MakeDate, make_date, year month day, "make a date from year, month and day component parts");
 scalar_expr!(Nanvl, nanvl, x y, "returns x if x is not NaN otherwise returns y");
-scalar_expr!(
-    Isnan,
-    isnan,
-    num,
-    "returns true if a given number is +NaN or -NaN otherwise returns false"
-);
 scalar_expr!(
     Iszero,
     iszero,
@@ -1369,7 +1362,6 @@ mod test {
         test_unary_scalar_expr!(Ln, ln);
         test_scalar_expr!(Atan2, atan2, y, x);
         test_scalar_expr!(Nanvl, nanvl, x, y);
-        test_scalar_expr!(Isnan, isnan, input);
         test_scalar_expr!(Iszero, iszero, input);
 
         test_scalar_expr!(Ascii, ascii, input);

datafusion/expr/src/lib.rs

@@ -30,7 +30,6 @@ mod built_in_function;
 mod built_in_window_function;
 mod columnar_value;
 mod literal;
-mod nullif;
 mod operator;
 mod partition_evaluator;
 mod signature;
@@ -74,7 +73,6 @@ pub use function::{
 pub use groups_accumulator::{EmitTo, GroupsAccumulator};
 pub use literal::{lit, lit_timestamp_nano, Literal, TimestampLiteral};
 pub use logical_plan::*;
-pub use nullif::SUPPORTED_NULLIF_TYPES;
 pub use operator::Operator;
 pub use partition_evaluator::PartitionEvaluator;
 pub use signature::{

datafusion/functions/Cargo.toml

@@ -29,10 +29,14 @@ authors = { workspace = true }
 rust-version = { workspace = true }
 
 [features]
+# enable core functions
+core_expressions = []
 # Enable encoding by default so the doctests work. In general don't automatically enable all packages.
-default = ["encoding_expressions"]
-# enable the encode/decode functions
+default = ["core_expressions", "encoding_expressions", "math_expressions"]
+# enable encode/decode functions
 encoding_expressions = ["base64", "hex"]
+# enable math functions
+math_expressions = []
 
 
 [lib]

datafusion/expr/src/nullif.rs → datafusion/functions/src/core/mod.rs

@@ -15,23 +15,15 @@
 // specific language governing permissions and limitations
 // under the License.
 
-use arrow::datatypes::DataType;
+//! "core" DataFusion functions
+
+mod nullif;
+
+// create UDFs
+make_udf_function!(nullif::NullIfFunc, NULLIF, nullif);
+
+// Export the functions out of this package, both as expr_fn as well as a list of functions
+export_functions!(
+    (nullif, arg_1 arg_2, "returns NULL if value1 equals value2; otherwise it returns value1. This can be used to perform the inverse operation of the COALESCE expression.")
+);
 
-/// Currently supported types by the nullif function.
-/// The order of these types correspond to the order on which coercion applies
-/// This should thus be from least informative to most informative
-pub static SUPPORTED_NULLIF_TYPES: &[DataType] = &[
-    DataType::Boolean,
-    DataType::UInt8,
-    DataType::UInt16,
-    DataType::UInt32,
-    DataType::UInt64,
-    DataType::Int8,
-    DataType::Int16,
-    DataType::Int32,
-    DataType::Int64,
-    DataType::Float32,
-    DataType::Float64,
-    DataType::Utf8,
-    DataType::LargeUtf8,
-];

datafusion/physical-expr/src/expressions/nullif.rs → datafusion/functions/src/core/nullif.rs

@@ -15,17 +15,89 @@
 // specific language governing permissions and limitations
 // under the License.
 
+//! Encoding expressions
+
+use arrow::{
+    datatypes::DataType,
+};
+use datafusion_common::{internal_err, Result, DataFusionError};
+use datafusion_expr::{ColumnarValue};
+
+use datafusion_expr::{ScalarUDFImpl, Signature, Volatility};
+use std::any::Any;
 use arrow::array::Array;
 use arrow::compute::kernels::cmp::eq;
 use arrow::compute::kernels::nullif::nullif;
-use datafusion_common::{internal_err, DataFusionError, Result, ScalarValue};
-use datafusion_expr::ColumnarValue;
+use datafusion_common::{ ScalarValue};
+
+#[derive(Debug)]
+pub(super) struct NullIfFunc {
+    signature: Signature,
+}
+
+/// Currently supported types by the nullif function.
+/// The order of these types correspond to the order on which coercion applies
+/// This should thus be from least informative to most informative
+static SUPPORTED_NULLIF_TYPES: &[DataType] = &[
+    DataType::Boolean,
+    DataType::UInt8,
+    DataType::UInt16,
+    DataType::UInt32,
+    DataType::UInt64,
+    DataType::Int8,
+    DataType::Int16,
+    DataType::Int32,
+    DataType::Int64,
+    DataType::Float32,
+    DataType::Float64,
+    DataType::Utf8,
+    DataType::LargeUtf8,
+];
+
+
+impl NullIfFunc {
+    pub fn new() -> Self {
+        Self {
+            signature:
+            Signature::uniform(2, SUPPORTED_NULLIF_TYPES.to_vec(),
+                Volatility::Immutable,
+            )
+        }
+    }
+}
+
+impl ScalarUDFImpl for NullIfFunc {
+    fn as_any(&self) -> &dyn Any {
+        self
+    }
+    fn name(&self) -> &str {
+        "nullif"
+    }
+
+    fn signature(&self) -> &Signature {
+        &self.signature
+    }
+
+    fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> {
+        // NULLIF has two args and they might get coerced, get a preview of this
+        let coerced_types = datafusion_expr::type_coercion::functions::data_types(arg_types, &self.signature);
+        coerced_types.map(|typs| typs[0].clone())
+            .map_err(|e| e.context("Failed to coerce arguments for NULLIF")
+        )
+    }
+
+    fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> {
+        nullif_func(args)
+    }
+}
+
+
 
 /// Implements NULLIF(expr1, expr2)
 /// Args: 0 - left expr is any array
 ///       1 - if the left is equal to this expr2, then the result is NULL, otherwise left value is passed.
 ///
-pub fn nullif_func(args: &[ColumnarValue]) -> Result<ColumnarValue> {
+fn nullif_func(args: &[ColumnarValue]) -> Result<ColumnarValue> {
     if args.len() != 2 {
         return internal_err!(
             "{:?} args were supplied but NULLIF takes exactly two args",

datafusion/functions/src/lib.rs

@@ -84,21 +84,34 @@ use log::debug;
 #[macro_use]
 pub mod macros;
 
+make_package!(core, "core_expressions", "Core datafusion expressions");
+
 make_package!(
     encoding,
     "encoding_expressions",
     "Hex and binary `encode` and `decode` functions."
 );
 
+make_package!(math, "math_expressions", "Mathematical functions.");
+
 /// Fluent-style API for creating `Expr`s
 pub mod expr_fn {
+    #[cfg(feature = "core_expressions")]
+    pub use super::core::expr_fn::*;
     #[cfg(feature = "encoding_expressions")]
     pub use super::encoding::expr_fn::*;
+    #[cfg(feature = "math_expressions")]
+    pub use super::math::expr_fn::*;
 }
 
 /// Registers all enabled packages with a [`FunctionRegistry`]
 pub fn register_all(registry: &mut dyn FunctionRegistry) -> Result<()> {
-    encoding::functions().into_iter().try_for_each(|udf| {
+    let mut all_functions = core::functions()
+        .into_iter()
+        .chain(encoding::functions())
+        .chain(math::functions());
+
+    all_functions.try_for_each(|udf| {
         let existing_udf = registry.register_udf(udf)?;
         if let Some(existing_udf) = existing_udf {
             debug!("Overwrite existing UDF: {}", existing_udf.name());

datafusion/functions/src/macros.rs

@@ -121,3 +121,42 @@ macro_rules! make_package {
         }
     };
 }
+
+/// Invokes a function on each element of an array and returns the result as a new array
+///
+/// $ARG: ArrayRef
+/// $NAME: name of the function (for error messages)
+/// $ARGS_TYPE: the type of array to cast the argument to
+/// $RETURN_TYPE: the type of array to return
+/// $FUNC: the function to apply to each element of $ARG
+///
+macro_rules! make_function_scalar_inputs_return_type {
+    ($ARG: expr, $NAME:expr, $ARG_TYPE:ident, $RETURN_TYPE:ident, $FUNC: block) => {{
+        let arg = downcast_arg!($ARG, $NAME, $ARG_TYPE);
+
+        arg.iter()
+            .map(|a| match a {
+                Some(a) => Some($FUNC(a)),
+                _ => None,
+            })
+            .collect::<$RETURN_TYPE>()
+    }};
+}
+
+/// Downcast an argument to a specific array type, returning an internal error
+/// if the cast fails
+///
+/// $ARG: ArrayRef
+/// $NAME: name of the argument (for error messages)
+/// $ARRAY_TYPE: the type of array to cast the argument to
+macro_rules! downcast_arg {
+    ($ARG:expr, $NAME:expr, $ARRAY_TYPE:ident) => {{
+        $ARG.as_any().downcast_ref::<$ARRAY_TYPE>().ok_or_else(|| {
+            DataFusionError::Internal(format!(
+                "could not cast {} to {}",
+                $NAME,
+                std::any::type_name::<$ARRAY_TYPE>()
+            ))
+        })?
+    }};
+}