Concatenates strings, returning NULL if any input is NULL This is a Spark-specific wrapper around DataFusion's concat that returns NULL if any argument is NULL (Spark behavior), whereas DataFusion's concat ignores NULLs.
(args: ScalarFunctionArgs)
| 102 | /// This is a Spark-specific wrapper around DataFusion's concat that returns NULL |
| 103 | /// if any argument is NULL (Spark behavior), whereas DataFusion's concat ignores NULLs. |
| 104 | fn spark_concat(args: ScalarFunctionArgs) -> Result<ColumnarValue> { |
| 105 | let ScalarFunctionArgs { |
| 106 | args: arg_values, |
| 107 | arg_fields, |
| 108 | number_rows, |
| 109 | return_field, |
| 110 | config_options, |
| 111 | } = args; |
| 112 | |
| 113 | // Handle zero-argument case: return empty string |
| 114 | if arg_values.is_empty() { |
| 115 | let return_type = return_field.data_type(); |
| 116 | return match return_type { |
| 117 | DataType::Utf8View => Ok(ColumnarValue::Scalar(ScalarValue::Utf8View(Some( |
| 118 | String::new(), |
| 119 | )))), |
| 120 | DataType::LargeUtf8 => Ok(ColumnarValue::Scalar(ScalarValue::LargeUtf8( |
| 121 | Some(String::new()), |
| 122 | ))), |
| 123 | _ => Ok(ColumnarValue::Scalar(ScalarValue::Utf8( |
| 124 | Some(String::new()), |
| 125 | ))), |
| 126 | }; |
| 127 | } |
| 128 | |
| 129 | // Step 1: Check for NULL mask in incoming args |
| 130 | let null_mask = compute_null_mask(&arg_values); |
| 131 | |
| 132 | // If all scalars and any is NULL, return NULL immediately |
| 133 | if matches!(null_mask, NullMaskResolution::ReturnNull) { |
| 134 | let return_type = return_field.data_type(); |
| 135 | return match return_type { |
| 136 | DataType::Utf8View => Ok(ColumnarValue::Scalar(ScalarValue::Utf8View(None))), |
| 137 | DataType::LargeUtf8 => { |
| 138 | Ok(ColumnarValue::Scalar(ScalarValue::LargeUtf8(None))) |
| 139 | } |
| 140 | _ => Ok(ColumnarValue::Scalar(ScalarValue::Utf8(None))), |
| 141 | }; |
| 142 | } |
| 143 | |
| 144 | // Step 2: Delegate to DataFusion's concat |
| 145 | let concat_func = ConcatFunc::new(); |
| 146 | let return_type = return_field.data_type().clone(); |
| 147 | let func_args = ScalarFunctionArgs { |
| 148 | args: arg_values, |
| 149 | arg_fields, |
| 150 | number_rows, |
| 151 | return_field, |
| 152 | config_options, |
| 153 | }; |
| 154 | let result = concat_func.invoke_with_args(func_args)?; |
| 155 | |
| 156 | // Step 3: Apply NULL mask to result |
| 157 | apply_null_mask(result, null_mask, &return_type) |
| 158 | } |
| 159 | |
| 160 | #[cfg(test)] |
| 161 | mod tests { |
no test coverage detected
searching dependent graphs…