Support casting between day-time interval and string

integration_tests/src/main/python/cast_test.py

@@ -305,3 +305,41 @@ def fun(spark):
         df = spark.createDataFrame(data, DoubleType())
         return df.select(f.col('value').cast(TimestampType())).collect()
     assert_gpu_and_cpu_error(fun, {"spark.sql.ansi.enabled": True}, "java.time.DateTimeException")
+
+@pytest.mark.skipif(is_before_spark_330(), reason='DayTimeInterval is not supported before Pyspark 3.3.0')
+def test_cast_day_time_interval_to_string():
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='day', end_field='day', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='day', end_field='hour', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='day', end_field='minute', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='day', end_field='second', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='hour', end_field='hour', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='hour', end_field='minute', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='hour', end_field='second', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='minute', end_field='minute', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='minute', end_field='second', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+    _assert_cast_to_string_equal(DayTimeIntervalGen(start_field='second', end_field='second', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)]), {})
+
+@pytest.mark.skipif(is_before_spark_330(), reason='DayTimeInterval is not supported before Pyspark 3.3.0')
+def test_cast_string_to_day_time_interval():
+    gen = DayTimeIntervalGen(start_field='day', end_field='second', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)])
+    dtType = DayTimeIntervalType(0, 3) # 0 is day; 3 is second
+    assert_gpu_and_cpu_are_equal_collect(
+        lambda spark: unary_op_df(spark, gen).select(f.col('a').cast(StringType()).cast(dtType)))
+
+    gen = DayTimeIntervalGen(start_field='hour', end_field='second', special_cases=[MIN_DAY_TIME_INTERVAL, MAX_DAY_TIME_INTERVAL, timedelta(seconds=0)])
+    dtType = DayTimeIntervalType(1, 3) # 1 is hour; 3 is second
+    assert_gpu_and_cpu_are_equal_collect(
+        lambda spark: unary_op_df(spark, gen).select(f.col('a').cast(StringType()).cast(dtType)))
+
+@pytest.mark.skipif(is_before_spark_330(), reason='DayTimeInterval is not supported before Pyspark 3.3.0')
+@pytest.mark.parametrize('invalid_string', [
+    "INTERVAL 'xxx' DAY TO SECOND", # invalid format
+    "-999999999 04:00:54.775808000" # exceeds min value, min value is "-106751991 04:00:54.775808000"
+])
+def test_cast_string_to_day_time_interval_exception(invalid_string):
+    dtType = DayTimeIntervalType(0, 3)
+    def fun(spark):
+        data=[invalid_string]
+        df = spark.createDataFrame(data, StringType())
+        return df.select(f.col('value').cast(dtType)).collect()
+    assert_gpu_and_cpu_error(fun, {}, "java.lang.IllegalArgumentException")

sql-plugin/src/main/311until330-all/scala/com/nvidia/spark/rapids/shims/GpuIntervalUtils.scala

@@ -0,0 +1,34 @@
+/*
+ * Copyright (c) 2022, NVIDIA CORPORATION.
+ *
+ * Licensed 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.
+ */
+package com.nvidia.spark.rapids.shims
+
+import ai.rapids.cudf.ColumnVector
+
+import org.apache.spark.sql.types.DataType
+
+/**
+ * Should not support in this Shim
+ */
+object GpuIntervalUtils {
+
+  def castStringToDayTimeIntervalWithThrow(cv: ColumnVector, t: DataType): ColumnVector = {
+    throw new IllegalStateException()
+  }
+
+  def toDayTimeIntervalString(micros: ColumnVector, dayTimeType: DataType): ColumnVector = {
+    throw new IllegalStateException()
+  }
+}

sql-plugin/src/main/311until330-all/scala/com/nvidia/spark/rapids/shims/GpuTypeShims.scala

@@ -83,8 +83,9 @@ object GpuTypeShims {
     throw new RuntimeException(s"Not support type $dt.")
 
   /**
-   * Whether the Shim supports day-time interval type
-   * Alias, Add, Subtract, Positive... operators do not support day-time interval type
+   * Whether the Shim supports day-time interval type for specific operator
+   * Alias, Add, Subtract, Positive... operators do not support day-time interval type on this Shim
+   * Note: Spark 3.2.x does support `DayTimeIntervalType`, this is for the GPU operators
    */
   def isSupportedDayTimeType(dt: DataType): Boolean = false
 
@@ -109,6 +110,10 @@ object GpuTypeShims {
    */
   def additionalCsvSupportedTypes: TypeSig = TypeSig.none
 
+  def typesDayTimeCanCastTo: TypeSig = TypeSig.none
+
+  def additionalTypesStringCanCastTo: TypeSig = TypeSig.none
+
   /**
    * Get additional Parquet supported types for this Shim
    */