diff --git a/common/utils/src/main/resources/error/error-conditions.json b/common/utils/src/main/resources/error/error-conditions.json
index e51b35c0accc..5e1c3f46fd11 100644
--- a/common/utils/src/main/resources/error/error-conditions.json
+++ b/common/utils/src/main/resources/error/error-conditions.json
@@ -2012,8 +2012,20 @@
   },
   "INTERVAL_ARITHMETIC_OVERFLOW" : {
     "message" : [
-      "<message>.<alternative>"
+      "Integer overflow while operating with intervals."
     ],
+    "subClass" : {
+      "WITHOUT_SUGGESTION" : {
+        "message" : [
+          "Try devising appropriate values for the interval parameters."
+        ]
+      },
+      "WITH_SUGGESTION" : {
+        "message" : [
+          "Use <functionName> to tolerate overflow and return NULL instead."
+        ]
+      }
+    },
     "sqlState" : "22015"
   },
   "INTERVAL_DIVIDED_BY_ZERO" : {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/intervalExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/intervalExpressions.scala
index 1ce7dfd39acc..a7b67f55d8cd 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/intervalExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/intervalExpressions.scala
@@ -481,7 +481,7 @@ case class MakeDTInterval(
     hours: Expression,
     mins: Expression,
     secs: Expression)
-  extends QuaternaryExpression with ImplicitCastInputTypes {
+  extends QuaternaryExpression with ImplicitCastInputTypes with SupportQueryContext {
   override def nullIntolerant: Boolean = true
 
   def this(
@@ -514,13 +514,15 @@ case class MakeDTInterval(
       day.asInstanceOf[Int],
       hour.asInstanceOf[Int],
       min.asInstanceOf[Int],
-      sec.asInstanceOf[Decimal])
+      sec.asInstanceOf[Decimal],
+      origin.context)
   }
 
   override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
     defineCodeGen(ctx, ev, (day, hour, min, sec) => {
+      val errorContext = getContextOrNullCode(ctx)
       val iu = IntervalUtils.getClass.getName.stripSuffix("$")
-      s"$iu.makeDayTimeInterval($day, $hour, $min, $sec)"
+      s"$iu.makeDayTimeInterval($day, $hour, $min, $sec, $errorContext)"
     })
   }
 
@@ -532,6 +534,8 @@ case class MakeDTInterval(
       mins: Expression,
       secs: Expression): MakeDTInterval =
     copy(days, hours, mins, secs)
+
+  override def initQueryContext(): Option[QueryContext] = Some(origin.context)
 }
 
 @ExpressionDescription(
@@ -556,7 +560,7 @@ case class MakeDTInterval(
   group = "datetime_funcs")
 // scalastyle:on line.size.limit
 case class MakeYMInterval(years: Expression, months: Expression)
-  extends BinaryExpression with ImplicitCastInputTypes with Serializable {
+  extends BinaryExpression with ImplicitCastInputTypes with Serializable with SupportQueryContext {
   override def nullIntolerant: Boolean = true
 
   def this(years: Expression) = this(years, Literal(0))
@@ -568,17 +572,28 @@ case class MakeYMInterval(years: Expression, months: Expression)
   override def dataType: DataType = YearMonthIntervalType()
 
   override def nullSafeEval(year: Any, month: Any): Any = {
-    Math.toIntExact(Math.addExact(month.asInstanceOf[Number].longValue(),
-      Math.multiplyExact(year.asInstanceOf[Number].longValue(), MONTHS_PER_YEAR)))
+    try {
+      Math.toIntExact(
+        Math.addExact(month.asInstanceOf[Int],
+          Math.multiplyExact(year.asInstanceOf[Int], MONTHS_PER_YEAR)))
+    } catch {
+      case _: ArithmeticException =>
+        throw QueryExecutionErrors.withoutSuggestionIntervalArithmeticOverflowError(origin.context)
+    }
   }
 
   override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
-    defineCodeGen(ctx, ev, (years, months) => {
+    nullSafeCodeGen(ctx, ev, (years, months) => {
       val math = classOf[Math].getName.stripSuffix("$")
+      val errorContext = getContextOrNullCode(ctx)
+      // scalastyle:off line.size.limit
       s"""
-         |$math.toIntExact(java.lang.Math.addExact($months,
-         |  $math.multiplyExact($years, $MONTHS_PER_YEAR)))
-         |""".stripMargin
+         |try {
+         |  ${ev.value} = $math.toIntExact($math.addExact($months, $math.multiplyExact($years, $MONTHS_PER_YEAR)));
+         |} catch (java.lang.ArithmeticException e) {
+         |  throw QueryExecutionErrors.withoutSuggestionIntervalArithmeticOverflowError($errorContext);
+         |}""".stripMargin
+      // scalastyle:on line.size.limit
     })
   }
 
@@ -587,6 +602,10 @@ case class MakeYMInterval(years: Expression, months: Expression)
   override protected def withNewChildrenInternal(
       newLeft: Expression, newRight: Expression): Expression =
     copy(years = newLeft, months = newRight)
+
+  override def initQueryContext(): Option[QueryContext] = {
+    Some(origin.context)
+  }
 }
 
 // Multiply an year-month interval by a numeric
@@ -699,8 +718,8 @@ trait IntervalDivide {
       context: QueryContext): Unit = {
     if (value == minValue && num.dataType.isInstanceOf[IntegralType]) {
       if (numValue.asInstanceOf[Number].longValue() == -1) {
-        throw QueryExecutionErrors.intervalArithmeticOverflowError(
-          "Interval value overflows after being divided by -1", "try_divide", context)
+        throw QueryExecutionErrors.withSuggestionIntervalArithmeticOverflowError(
+          "try_divide", context)
       }
     }
   }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalMathUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalMathUtils.scala
index c935c6057376..756f2598f13f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalMathUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalMathUtils.scala
@@ -35,12 +35,15 @@ object IntervalMathUtils {
 
   def negateExact(a: Long): Long = withOverflow(Math.negateExact(a))
 
-  private def withOverflow[A](f: => A, hint: String = ""): A = {
+  private def withOverflow[A](f: => A, suggestedFunc: String = ""): A = {
     try {
       f
     } catch {
-      case e: ArithmeticException =>
-        throw QueryExecutionErrors.intervalArithmeticOverflowError(e.getMessage, hint, null)
+      case _: ArithmeticException if suggestedFunc.isEmpty =>
+        throw QueryExecutionErrors.withoutSuggestionIntervalArithmeticOverflowError(context = null)
+      case _: ArithmeticException =>
+        throw QueryExecutionErrors.withSuggestionIntervalArithmeticOverflowError(
+          suggestedFunc, context = null)
     }
   }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
index 90c802b7e28d..39a07990dea3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
@@ -22,7 +22,7 @@ import java.util.concurrent.TimeUnit
 
 import scala.util.control.NonFatal
 
-import org.apache.spark.{SparkIllegalArgumentException, SparkThrowable}
+import org.apache.spark.{QueryContext, SparkIllegalArgumentException, SparkThrowable}
 import org.apache.spark.sql.catalyst.expressions.Literal
 import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.util.DateTimeConstants._
@@ -782,13 +782,19 @@ object IntervalUtils extends SparkIntervalUtils {
       days: Int,
       hours: Int,
       mins: Int,
-      secs: Decimal): Long = {
+      secs: Decimal,
+      context: QueryContext): Long = {
     assert(secs.scale == 6, "Seconds fractional must have 6 digits for microseconds")
     var micros = secs.toUnscaledLong
-    micros = Math.addExact(micros, Math.multiplyExact(days, MICROS_PER_DAY))
-    micros = Math.addExact(micros, Math.multiplyExact(hours, MICROS_PER_HOUR))
-    micros = Math.addExact(micros, Math.multiplyExact(mins, MICROS_PER_MINUTE))
-    micros
+    try {
+      micros = Math.addExact(micros, Math.multiplyExact(days, MICROS_PER_DAY))
+      micros = Math.addExact(micros, Math.multiplyExact(hours, MICROS_PER_HOUR))
+      micros = Math.addExact(micros, Math.multiplyExact(mins, MICROS_PER_MINUTE))
+      micros
+    } catch {
+      case _: ArithmeticException =>
+        throw QueryExecutionErrors.withoutSuggestionIntervalArithmeticOverflowError(context)
+    }
   }
 
   def intToYearMonthInterval(v: Int, startField: Byte, endField: Byte): Int = {
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 09836995925e..fb39d3c5d7c6 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -636,18 +636,21 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
       summary = "")
   }
 
-  def intervalArithmeticOverflowError(
-      message: String,
-      hint: String = "",
+  def withSuggestionIntervalArithmeticOverflowError(
+      suggestedFunc: String,
       context: QueryContext): ArithmeticException = {
-    val alternative = if (hint.nonEmpty) {
-      s" Use '$hint' to tolerate overflow and return NULL instead."
-    } else ""
     new SparkArithmeticException(
-      errorClass = "INTERVAL_ARITHMETIC_OVERFLOW",
-      messageParameters = Map(
-        "message" -> message,
-        "alternative" -> alternative),
+      errorClass = "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
+      messageParameters = Map("functionName" -> toSQLId(suggestedFunc)),
+      context = getQueryContext(context),
+      summary = getSummary(context))
+  }
+
+  def withoutSuggestionIntervalArithmeticOverflowError(
+    context: QueryContext): SparkArithmeticException = {
+    new SparkArithmeticException(
+      errorClass = "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+      messageParameters = Map(),
       context = getQueryContext(context),
       summary = getSummary(context))
   }
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/IntervalExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/IntervalExpressionsSuite.scala
index 78bc77b9dc2a..8fb72ad53062 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/IntervalExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/IntervalExpressionsSuite.scala
@@ -316,7 +316,8 @@ class IntervalExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
       val secFrac = DateTimeTestUtils.secFrac(seconds, millis, micros)
       val durationExpr = MakeDTInterval(Literal(days), Literal(hours), Literal(minutes),
         Literal(Decimal(secFrac, Decimal.MAX_LONG_DIGITS, 6)))
-      checkExceptionInExpression[ArithmeticException](durationExpr, EmptyRow, "")
+      checkExceptionInExpression[ArithmeticException](
+        durationExpr, "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION")
     }
 
     check(millis = -123)
@@ -528,7 +529,8 @@ class IntervalExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
     Seq(MakeYMInterval(Literal(178956970), Literal(8)),
       MakeYMInterval(Literal(-178956970), Literal(-9)))
       .foreach { ym =>
-        checkExceptionInExpression[ArithmeticException](ym, "integer overflow")
+        checkExceptionInExpression[ArithmeticException](
+          ym, "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION")
       }
 
     def checkImplicitEvaluation(expr: Expression, value: Any): Unit = {
diff --git a/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out b/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
index 766bfba7696f..4e012df792de 100644
--- a/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/ansi/interval.sql.out
@@ -936,8 +936,18 @@ select make_dt_interval(2147483647)
 -- !query schema
 struct<>
 -- !query output
-java.lang.ArithmeticException
-long overflow
+org.apache.spark.SparkArithmeticException
+{
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+  "sqlState" : "22015",
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 35,
+    "fragment" : "make_dt_interval(2147483647)"
+  } ]
+}
 
 
 -- !query
@@ -977,8 +987,18 @@ select make_ym_interval(178956970, 8)
 -- !query schema
 struct<>
 -- !query output
-java.lang.ArithmeticException
-integer overflow
+org.apache.spark.SparkArithmeticException
+{
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+  "sqlState" : "22015",
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 37,
+    "fragment" : "make_ym_interval(178956970, 8)"
+  } ]
+}
 
 
 -- !query
@@ -994,8 +1014,18 @@ select make_ym_interval(-178956970, -9)
 -- !query schema
 struct<>
 -- !query output
-java.lang.ArithmeticException
-integer overflow
+org.apache.spark.SparkArithmeticException
+{
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+  "sqlState" : "22015",
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 39,
+    "fragment" : "make_ym_interval(-178956970, -9)"
+  } ]
+}
 
 
 -- !query
@@ -2493,12 +2523,8 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
-  "sqlState" : "22015",
-  "messageParameters" : {
-    "alternative" : "",
-    "message" : "integer overflow"
-  }
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+  "sqlState" : "22015"
 }
 
 
@@ -2509,11 +2535,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_subtract' to tolerate overflow and return NULL instead.",
-    "message" : "integer overflow"
+    "functionName" : "`try_subtract`"
   }
 }
 
@@ -2525,11 +2550,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_add' to tolerate overflow and return NULL instead.",
-    "message" : "integer overflow"
+    "functionName" : "`try_add`"
   }
 }
 
@@ -2838,11 +2862,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_divide' to tolerate overflow and return NULL instead.",
-    "message" : "Interval value overflows after being divided by -1"
+    "functionName" : "`try_divide`"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -2861,11 +2884,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_divide' to tolerate overflow and return NULL instead.",
-    "message" : "Interval value overflows after being divided by -1"
+    "functionName" : "`try_divide`"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -2918,11 +2940,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_divide' to tolerate overflow and return NULL instead.",
-    "message" : "Interval value overflows after being divided by -1"
+    "functionName" : "`try_divide`"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -2941,11 +2962,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_divide' to tolerate overflow and return NULL instead.",
-    "message" : "Interval value overflows after being divided by -1"
+    "functionName" : "`try_divide`"
   },
   "queryContext" : [ {
     "objectType" : "",
diff --git a/sql/core/src/test/resources/sql-tests/results/interval.sql.out b/sql/core/src/test/resources/sql-tests/results/interval.sql.out
index 7eed2d42da04..a8a0423bdb3e 100644
--- a/sql/core/src/test/resources/sql-tests/results/interval.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/interval.sql.out
@@ -823,8 +823,18 @@ select make_dt_interval(2147483647)
 -- !query schema
 struct<>
 -- !query output
-java.lang.ArithmeticException
-long overflow
+org.apache.spark.SparkArithmeticException
+{
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+  "sqlState" : "22015",
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 35,
+    "fragment" : "make_dt_interval(2147483647)"
+  } ]
+}
 
 
 -- !query
@@ -864,8 +874,18 @@ select make_ym_interval(178956970, 8)
 -- !query schema
 struct<>
 -- !query output
-java.lang.ArithmeticException
-integer overflow
+org.apache.spark.SparkArithmeticException
+{
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+  "sqlState" : "22015",
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 37,
+    "fragment" : "make_ym_interval(178956970, 8)"
+  } ]
+}
 
 
 -- !query
@@ -881,8 +901,18 @@ select make_ym_interval(-178956970, -9)
 -- !query schema
 struct<>
 -- !query output
-java.lang.ArithmeticException
-integer overflow
+org.apache.spark.SparkArithmeticException
+{
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+  "sqlState" : "22015",
+  "queryContext" : [ {
+    "objectType" : "",
+    "objectName" : "",
+    "startIndex" : 8,
+    "stopIndex" : 39,
+    "fragment" : "make_ym_interval(-178956970, -9)"
+  } ]
+}
 
 
 -- !query
@@ -2316,12 +2346,8 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
-  "sqlState" : "22015",
-  "messageParameters" : {
-    "alternative" : "",
-    "message" : "integer overflow"
-  }
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITHOUT_SUGGESTION",
+  "sqlState" : "22015"
 }
 
 
@@ -2332,11 +2358,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_subtract' to tolerate overflow and return NULL instead.",
-    "message" : "integer overflow"
+    "functionName" : "`try_subtract`"
   }
 }
 
@@ -2348,11 +2373,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_add' to tolerate overflow and return NULL instead.",
-    "message" : "integer overflow"
+    "functionName" : "`try_add`"
   }
 }
 
@@ -2661,11 +2685,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_divide' to tolerate overflow and return NULL instead.",
-    "message" : "Interval value overflows after being divided by -1"
+    "functionName" : "`try_divide`"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -2684,11 +2707,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_divide' to tolerate overflow and return NULL instead.",
-    "message" : "Interval value overflows after being divided by -1"
+    "functionName" : "`try_divide`"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -2741,11 +2763,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_divide' to tolerate overflow and return NULL instead.",
-    "message" : "Interval value overflows after being divided by -1"
+    "functionName" : "`try_divide`"
   },
   "queryContext" : [ {
     "objectType" : "",
@@ -2764,11 +2785,10 @@ struct<>
 -- !query output
 org.apache.spark.SparkArithmeticException
 {
-  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW",
+  "errorClass" : "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
   "sqlState" : "22015",
   "messageParameters" : {
-    "alternative" : " Use 'try_divide' to tolerate overflow and return NULL instead.",
-    "message" : "Interval value overflows after being divided by -1"
+    "functionName" : "`try_divide`"
   },
   "queryContext" : [ {
     "objectType" : "",
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 7ebcb280def6..6348e5f31539 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -26,6 +26,7 @@ import org.scalatest.matchers.must.Matchers.the
 import org.apache.spark.{SparkArithmeticException, SparkRuntimeException}
 import org.apache.spark.sql.catalyst.plans.logical.Expand
 import org.apache.spark.sql.catalyst.util.AUTO_GENERATED_ALIAS
+import org.apache.spark.sql.errors.DataTypeErrors.toSQLId
 import org.apache.spark.sql.execution.WholeStageCodegenExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, ObjectHashAggregateExec, SortAggregateExec}
@@ -1485,15 +1486,22 @@ class DataFrameAggregateSuite extends QueryTest
     val df2 = Seq((Period.ofMonths(Int.MaxValue), Duration.ofDays(106751991)),
       (Period.ofMonths(10), Duration.ofDays(10)))
       .toDF("year-month", "day")
-    val error = intercept[SparkArithmeticException] {
-      checkAnswer(df2.select(sum($"year-month")), Nil)
-    }
-    assert(error.getMessage contains "[INTERVAL_ARITHMETIC_OVERFLOW] integer overflow")
 
-    val error2 = intercept[SparkArithmeticException] {
-      checkAnswer(df2.select(sum($"day")), Nil)
-    }
-    assert(error2.getMessage contains "[INTERVAL_ARITHMETIC_OVERFLOW] long overflow")
+    checkError(
+      exception = intercept[SparkArithmeticException] {
+        checkAnswer(df2.select(sum($"year-month")), Nil)
+      },
+      condition = "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
+      parameters = Map("functionName" -> toSQLId("try_add"))
+    )
+
+    checkError(
+      exception = intercept[SparkArithmeticException] {
+        checkAnswer(df2.select(sum($"day")), Nil)
+      },
+      condition = "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
+      parameters = Map("functionName" -> toSQLId("try_add"))
+    )
   }
 
   test("SPARK-34837: Support ANSI SQL intervals by the aggregate function `avg`") {
@@ -1620,15 +1628,22 @@ class DataFrameAggregateSuite extends QueryTest
     val df2 = Seq((Period.ofMonths(Int.MaxValue), Duration.ofDays(106751991)),
       (Period.ofMonths(10), Duration.ofDays(10)))
       .toDF("year-month", "day")
-    val error = intercept[SparkArithmeticException] {
-      checkAnswer(df2.select(avg($"year-month")), Nil)
-    }
-    assert(error.getMessage contains "[INTERVAL_ARITHMETIC_OVERFLOW] integer overflow")
 
-    val error2 = intercept[SparkArithmeticException] {
-      checkAnswer(df2.select(avg($"day")), Nil)
-    }
-    assert(error2.getMessage contains "[INTERVAL_ARITHMETIC_OVERFLOW] long overflow")
+    checkError(
+      exception = intercept[SparkArithmeticException] {
+        checkAnswer(df2.select(avg($"year-month")), Nil)
+      },
+      condition = "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
+      parameters = Map("functionName" -> toSQLId("try_add"))
+    )
+
+    checkError(
+      exception = intercept[SparkArithmeticException] {
+        checkAnswer(df2.select(avg($"day")), Nil)
+      },
+      condition = "INTERVAL_ARITHMETIC_OVERFLOW.WITH_SUGGESTION",
+      parameters = Map("functionName" -> toSQLId("try_add"))
+    )
 
     val df3 = intervalData.filter($"class" > 4)
     val avgDF3 = df3.select(avg($"year-month"), avg($"day"))