datafusion_spark/function/math/
bin.rs1use arrow::array::{ArrayRef, AsArray, StringArray};
19use arrow::datatypes::{DataType, Field, FieldRef, Int64Type};
20use datafusion_common::types::{NativeType, logical_int64};
21use datafusion_common::utils::take_function_args;
22use datafusion_common::{Result, internal_err};
23use datafusion_expr::{
24 Coercion, ColumnarValue, ScalarFunctionArgs, ScalarUDFImpl, Signature, TypeSignature,
25 TypeSignatureClass, Volatility,
26};
27use datafusion_functions::utils::make_scalar_function;
28use std::sync::Arc;
29
30#[derive(Debug, PartialEq, Eq, Hash)]
33pub struct SparkBin {
34 signature: Signature,
35}
36
37impl Default for SparkBin {
38 fn default() -> Self {
39 Self::new()
40 }
41}
42
43impl SparkBin {
44 pub fn new() -> Self {
45 Self {
46 signature: Signature::one_of(
47 vec![TypeSignature::Coercible(vec![Coercion::new_implicit(
48 TypeSignatureClass::Native(logical_int64()),
49 vec![TypeSignatureClass::Numeric],
50 NativeType::Int64,
51 )])],
52 Volatility::Immutable,
53 ),
54 }
55 }
56}
57
58impl ScalarUDFImpl for SparkBin {
59 fn name(&self) -> &str {
60 "bin"
61 }
62
63 fn signature(&self) -> &Signature {
64 &self.signature
65 }
66
67 fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
68 internal_err!("return_field_from_args should be used instead")
69 }
70
71 fn return_field_from_args(
72 &self,
73 args: datafusion_expr::ReturnFieldArgs,
74 ) -> Result<FieldRef> {
75 Ok(Arc::new(Field::new(
76 self.name(),
77 DataType::Utf8,
78 args.arg_fields[0].is_nullable(),
79 )))
80 }
81
82 fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result<ColumnarValue> {
83 make_scalar_function(spark_bin_inner, vec![])(&args.args)
84 }
85}
86
87fn spark_bin_inner(arg: &[ArrayRef]) -> Result<ArrayRef> {
88 let [array] = take_function_args("bin", arg)?;
89 match &array.data_type() {
90 DataType::Int64 => {
91 let result: StringArray = array
92 .as_primitive::<Int64Type>()
93 .iter()
94 .map(|opt| opt.map(spark_bin))
95 .collect();
96 Ok(Arc::new(result))
97 }
98 data_type => {
99 internal_err!("bin does not support: {data_type}")
100 }
101 }
102}
103
104fn spark_bin(value: i64) -> String {
105 format!("{value:b}")
106}