andygrove opened a new issue, #3094:
URL: https://github.com/apache/datafusion-comet/issues/3094

   ## What is the problem the feature request solves?
   
   > **Note:** This issue was generated with AI assistance. The specification 
details have been extracted from Spark documentation and may need verification.
   
   Comet does not currently support the Spark `subtract_dates` function, 
causing queries using this function to fall back to Spark's JVM execution 
instead of running natively on DataFusion.
   
   SubtractDates is a binary expression that calculates the difference between 
two date values. It supports both legacy interval output (CalendarIntervalType) 
and the newer day-time interval format (DayTimeIntervalType) depending on 
configuration settings.
   
   Supporting this expression would allow more Spark workloads to benefit from 
Comet's native acceleration.
   
   ## Describe the potential solution
   
   ### Spark Specification
   
   **Syntax:**
   ```sql
   date1 - date2
   ```
   
   **Arguments:**
   | Argument | Type | Description |
   |----------|------|-------------|
   | left | Expression | The left date operand (minuend) |
   | right | Expression | The right date operand (subtrahend) |
   | legacyInterval | Boolean | Flag determining output format (defaults to 
SQLConf.legacyIntervalEnabled) |
   
   **Return Type:** - **CalendarIntervalType**: When `legacyInterval` is true, 
returns a calendar interval with months=0, days=difference, microseconds=0
   - **DayTimeIntervalType(DAY)**: When `legacyInterval` is false, returns a 
day-time interval representing the difference in microseconds
   
   **Supported Data Types:**
   - Input types: DateType for both left and right operands
   - Implicit casting is supported through ImplicitCastInputTypes trait
   
   **Edge Cases:**
   - **Null handling**: Returns null if either input is null (null-intolerant 
behavior)
   - **Overflow behavior**: Uses `Math.subtractExact()` and 
`Math.multiplyExact()` which throw ArithmeticException on overflow
   - **Empty input**: Not applicable as this is a binary expression requiring 
two operands
   - **Negative results**: Supported when left date is earlier than right date
   
   **Examples:**
   ```sql
   -- Basic date subtraction
   SELECT DATE '2023-01-15' - DATE '2023-01-10' AS diff;
   
   -- Using with table columns
   SELECT order_date - ship_date AS processing_days FROM orders;
   ```
   
   ```scala
   // DataFrame API usage
   import org.apache.spark.sql.functions._
   
   df.select(col("end_date") - col("start_date") as "duration")
   
   // Direct expression construction
   val leftExpr = Literal(Date.valueOf("2023-01-15"))
   val rightExpr = Literal(Date.valueOf("2023-01-10"))
   val subtractExpr = SubtractDates(leftExpr, rightExpr)
   ```
   
   ### Implementation Approach
   
   See the [Comet guide on adding new 
expressions](https://datafusion.apache.org/comet/contributor-guide/adding_a_new_expression.html)
 for detailed instructions.
   
   1. **Scala Serde**: Add expression handler in 
`spark/src/main/scala/org/apache/comet/serde/`
   2. **Register**: Add to appropriate map in `QueryPlanSerde.scala`
   3. **Protobuf**: Add message type in `native/proto/src/proto/expr.proto` if 
needed
   4. **Rust**: Implement in `native/spark-expr/src/` (check if DataFusion has 
built-in support first)
   
   
   ## Additional context
   
   **Difficulty:** Medium
   **Spark Expression Class:** 
`org.apache.spark.sql.catalyst.expressions.SubtractDates`
   
   **Related:**
   - AddMonths: For adding months to dates
   - DateDiff: Alternative date difference calculation
   - CalendarIntervalType: Legacy interval data type
   - DayTimeIntervalType: Modern interval data type
   
   ---
   *This issue was auto-generated from Spark reference documentation.*
   


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