MaxGekk commented on code in PR #56059:
URL: https://github.com/apache/spark/pull/56059#discussion_r3298809563


##########
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/TimestampNanosRowSuite.scala:
##########
@@ -0,0 +1,124 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.sql.catalyst.expressions
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.sql.catalyst.InternalRow
+import 
org.apache.spark.sql.catalyst.expressions.codegen.GenerateUnsafeProjection
+import org.apache.spark.sql.types._
+import org.apache.spark.unsafe.types.{TimestampLTZNanos, TimestampNTZNanos}
+import org.apache.spark.util.ArrayImplicits._
+
+class TimestampNanosRowSuite extends SparkFunSuite with ExpressionEvalHelper {
+
+  private val ntzValue = new TimestampNTZNanos(1234567890123L, 42.toShort)
+  private val ltzValue = new TimestampLTZNanos(9876543210987L, 999.toShort)
+
+  test("GenerateUnsafeProjection.canSupport for nanos timestamp types") {
+    assert(GenerateUnsafeProjection.canSupport(TimestampNTZNanosType(9)))
+    assert(GenerateUnsafeProjection.canSupport(TimestampLTZNanosType(7)))
+  }
+
+  test("GenericInternalRow roundtrip for TIMESTAMP_NTZ nanos") {
+    val row = new GenericInternalRow(Array[Any](ntzValue, null))
+    val accessor = InternalRow.getAccessor(TimestampNTZNanosType(9))
+    val writer = InternalRow.getWriter(0, TimestampNTZNanosType(9))
+    assert(accessor(row, 0) === ntzValue)
+    assert(accessor(row, 1) === null)
+
+    val row2 = new GenericInternalRow(Array[Any](null, null))
+    writer(row2, ntzValue)
+    assert(accessor(row2, 0) === ntzValue)
+  }
+
+  test("GenericInternalRow roundtrip for TIMESTAMP_LTZ nanos") {
+    val row = new GenericInternalRow(Array[Any](ltzValue, null))
+    val accessor = InternalRow.getAccessor(TimestampLTZNanosType(8))
+    val writer = InternalRow.getWriter(0, TimestampLTZNanosType(8))
+    assert(accessor(row, 0) === ltzValue)
+    assert(accessor(row, 1) === null)
+
+    val row2 = new GenericInternalRow(Array[Any](null, null))
+    writer(row2, ltzValue)
+    assert(accessor(row2, 0) === ltzValue)
+  }
+
+  testBothCodegenAndInterpreted("UnsafeRow roundtrip for nanos timestamp 
columns") {
+    val schema = StructType(Seq(
+      StructField("ntz", TimestampNTZNanosType(9), nullable = true),
+      StructField("ltz", TimestampLTZNanosType(7), nullable = true)))
+    val fieldTypes = schema.map(_.dataType).toArray
+    val converter = UnsafeProjection.create(fieldTypes)
+
+    val input = new SpecificInternalRow(fieldTypes.toIndexedSeq)
+    input.update(0, ntzValue)
+    input.update(1, ltzValue)
+
+    val unsafeRow = converter.apply(input)
+    assert(unsafeRow.getTimestampNTZNanos(0) === ntzValue)
+    assert(unsafeRow.getTimestampLTZNanos(1) === ltzValue)
+
+    val updatedNtz = new TimestampNTZNanos(1L, 0.toShort)
+    unsafeRow.setTimestampNTZNanos(0, updatedNtz)
+    assert(unsafeRow.getTimestampNTZNanos(0) === updatedNtz)
+
+    val offset = unsafeRow.getLong(0) >>> 32
+    unsafeRow.setTimestampNTZNanos(0, null)
+    assert(unsafeRow.getTimestampNTZNanos(0) === null)
+    assert(unsafeRow.getLong(0) >>> 32 === offset)
+  }
+
+  testBothCodegenAndInterpreted("SPARK-41535: nanos timestamps initialized as 
null") {

Review Comment:
   The purpose of reference to JIRA tickets is to provide more contexts of why 
the test is needed at all. But I agree that relation to the calendar interval 
type might confuse. Let me remove SPARK-41535 from the test title and add more 
comments.



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