feat: support multiply_dt_interval

[peterxcli]

Which issue does this PR close?

Closes: #3101.

Rationale for this change

This adds support for Spark's multiply_dt_interval expression, allowing DayTime interval multiplication to execute within Comet through the JVM codegen dispatcher instead of falling back to Spark.

Using Spark's generated code preserves Spark-compatible rounding, null handling, and overflow behavior.

What changes are included in this PR?

• Register MultiplyDTInterval with the JVM codegen dispatcher.
• Add DayTimeIntervalType input support using Arrow DurationVector.
• Add DayTime interval literal serialization as microsecond durations.
• Support DayTime interval values in top-level and nested codegen inputs.
• Update the expression support documentation.
• Add SQL coverage for byte, short, integer, long, float, double, and decimal multipliers.
• Cover interval literals, numeric operands on the left, nulls, half-up microsecond rounding, negative values, zero multiplication, and overflow.

How are these changes tested?

• ./mvnw test -Pspark-3.5 -Pscala-2.12 -Dtest=none -Dsuites="org.apache.comet.CometSqlFileTestSuite multiply_dt_interval"

The focused SQL suite completed successfully with one test run and no failures.