Spark quarter function implementation

datafusion/spark/src/function/datetime/mod.rs

@@ -27,6 +27,7 @@ pub mod last_day;
 pub mod make_dt_interval;
 pub mod make_interval;
 pub mod next_day;
+pub mod quarter;
 pub mod time_trunc;
 pub mod to_utc_timestamp;
 pub mod trunc;
@@ -72,6 +73,7 @@ make_udf_function!(
     unix_seconds,
     unix::SparkUnixTimestamp::seconds
 );
+make_udf_function!(quarter::SparkQuarter, quarter);
 
 pub mod expr_fn {
     use datafusion_functions::export_functions;
@@ -179,6 +181,11 @@ pub mod expr_fn {
         "Returns the number of seconds since epoch (1970-01-01 00:00:00 UTC) for the given timestamp `ts`.",
         ts
     ));
+    export_functions!((
+        quarter,
+        "Returns the quarter of the year for date, in the range 1 to 4.",
+        arg1
+    ));
 }
 
 pub fn functions() -> Vec<Arc<ScalarUDF>> {
@@ -204,5 +211,6 @@ pub fn functions() -> Vec<Arc<ScalarUDF>> {
         unix_micros(),
         unix_millis(),
         unix_seconds(),
+        quarter(),
     ]
 }

datafusion/spark/src/function/datetime/quarter.rs

@@ -0,0 +1,111 @@
+// 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 arrow::array::{ArrayRef, AsArray, Int32Array};
+use arrow::datatypes::{DataType, Date32Type, Field, FieldRef};
+use chrono::Datelike;
+use datafusion::logical_expr::{ColumnarValue, Signature, Volatility};
+use datafusion_common::utils::take_function_args;
+use datafusion_common::{Result, ScalarValue, internal_err};
+use datafusion_expr::{ReturnFieldArgs, ScalarFunctionArgs, ScalarUDFImpl};
+use std::any::Any;
+use std::sync::Arc;
+
+#[derive(Debug, PartialEq, Eq, Hash)]
+pub struct SparkQuarter {
+    signature: Signature,
+}
+
+impl Default for SparkQuarter {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+impl SparkQuarter {
+    pub fn new() -> Self {
+        Self {
+            signature: Signature::exact(vec![DataType::Date32], Volatility::Immutable),
+        }
+    }
+}
+
+impl ScalarUDFImpl for SparkQuarter {
+    fn as_any(&self) -> &dyn Any {
+        self
+    }
+
+    fn name(&self) -> &str {
+        "quarter"
+    }
+
+    fn signature(&self) -> &Signature {
+        &self.signature
+    }
+
+    fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
+        internal_err!("return_field_from_args should be used instead")
+    }
+
+    fn return_field_from_args(&self, args: ReturnFieldArgs) -> Result<FieldRef> {
+        Ok(Arc::new(Field::new(
+            self.name(),
+            DataType::Int32,
+            args.arg_fields[0].is_nullable(),
+        )))
+    }
+
+    fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result<ColumnarValue> {
+        let [arg] = take_function_args("quarter", args.args)?;
+        match arg {
+            ColumnarValue::Scalar(ScalarValue::Date32(days)) => {
+                if let Some(days) = days {
+                    Ok(ColumnarValue::Scalar(ScalarValue::Int32(Some(
+                        spark_quarter(days)?,
+                    ))))
+                } else {
+                    Ok(ColumnarValue::Scalar(ScalarValue::Int32(None)))
+                }
+            }
+            ColumnarValue::Array(array) => {
+                let result = match array.data_type() {
+                    DataType::Date32 => {
+                        let result: Int32Array = array
+                            .as_primitive::<Date32Type>()
+                            .try_unary(spark_quarter)?
+                            .with_data_type(DataType::Int32);
+                        Ok(Arc::new(result) as ArrayRef)
+                    }
+                    other => {
+                        internal_err!(
+                            "Unsupported data type {other:?} for Spark function `quarter`"
+                        )
+                    }
+                }?;
+                Ok(ColumnarValue::Array(result))
+            }
+            other => {
+                internal_err!("Unsupported arg {other:?} for Spark function `quarter")
+            }
+        }
+    }
+}
+
+fn spark_quarter(days: i32) -> Result<i32> {
+    let quarter = Date32Type::to_naive_date_opt(days).unwrap().quarter();
+    Ok(quarter as i32)
+}

datafusion/sqllogictest/test_files/spark/datetime/quarter.slt

@@ -15,13 +15,37 @@
 # specific language governing permissions and limitations
 # under the License.
 
-# This file was originally created by a porting script from:
-#   https://github.com/lakehq/sail/tree/43b6ed8221de5c4c4adbedbb267ae1351158b43c/crates/sail-spark-connect/tests/gold_data/function
-# This file is part of the implementation of the datafusion-spark function library.
-# For more information, please see:
-#   https://github.com/apache/datafusion/issues/15914
-
-## Original Query: SELECT quarter('2016-08-31');
-## PySpark 3.5.5 Result: {'quarter(2016-08-31)': 3, 'typeof(quarter(2016-08-31))': 'int', 'typeof(2016-08-31)': 'string'}
-#query
-#SELECT quarter('2016-08-31'::string);
+query I
+SELECT quarter('2009-01-12'::DATE);
+----
+1
+
+query I
+SELECT quarter('1970-01-01'::DATE);
+----
+1
+
+query I
+SELECT quarter('1870-01-01'::DATE);
+----
+1
+
+query I
+SELECT quarter('2011-04-21'::DATE);
+----
+2
+
+query I
+SELECT quarter('2024-08-14'::DATE);
+----
+3
+
+query I
+SELECT quarter('2016-12-12'::DATE);
+----
+4
+
+query I
+SELECT quarter(NULL::DATE);
+----
+NULL