[CH] sum() not support with fallback operator

### Backend

CH (ClickHouse)

### Bug description

```
withTempView("clicks") {
val df = Seq(
// small window: [00:00, 01:00), user1, 2
("2024-09-30 00:00:00", "user1"), ("2024-09-30 00:00:30", "user1"),
// small window: [01:00, 02:00), user2, 2
("2024-09-30 00:01:00", "user2"), ("2024-09-30 00:01:30", "user2"),
// small window: [03:00, 04:00), user1, 1
("2024-09-30 00:03:30", "user1"),
// small window: [11:00, 12:00), user1, 3
("2024-09-30 00:11:00", "user1"), ("2024-09-30 00:11:30", "user1"),
("2024-09-30 00:11:45", "user1")
).toDF("eventTime", "userId")

// session window: (01:00, 09:00), user1, 3 / (02:00, 07:00), user2, 2 /
// (12:00, 12:05), user1, 3

df.createOrReplaceTempView("clicks")

val aggregatedData = spark.sql(
"""
| SELECT
| session_window(small_window, '5 minutes') AS session,
| userId,
| sum(numClicks) AS numClicks
| FROM
| (
| SELECT
| window(eventTime, '1 minute') AS small_window,
| userId,
| count(*) AS numClicks
| FROM clicks
| GROUP BY window, userId
| ) cpu_small
| GROUP BY session_window, userId
|""".stripMargin)

checkAnswer(
aggregatedData,
Seq(Row("user1", 3), Row("user2", 2))
)
}
```

### Gluten version

_No response_

### Spark version

None

### Spark configurations

_No response_

### System information

_No response_

### Relevant logs

```bash
Caused by: org.apache.gluten.exception.GlutenException: Doesn't support type AggregateFunction(sum, Nullable(Int64)) for writeValue
0. Poco::Exception::Exception(String const&, int) @ 0x00000000163162b2
1. DB::Exception::Exception(DB::Exception::MessageMasked&&, int, bool) @ 0x000000000d35b679
2. DB::Exception::Exception(PreformattedMessage&&, int) @ 0x0000000006d2ceec
3. DB::Exception::Exception(int, FormatStringHelperImpl::type>, String&&) @ 0x0000000006d33bcb
4. local_engine::CHColumnToSparkRow::convertCHColumnToSparkRow(DB::Block const&, std::unique_ptr>, std::default_delete>>> const&) @ 0x000000000d780086
5. Java_org_apache_gluten_vectorized_CHBlockConverterJniWrapper_convertColumnarToRow @ 0x0000000006d1ca55

at org.apache.gluten.vectorized.CHBlockConverterJniWrapper.convertColumnarToRow(Native Method)
at org.apache.spark.sql.execution.utils.CHExecUtil$.getRowIterFromSparkRowInfo(CHExecUtil.scala:160)
at org.apache.spark.sql.execution.utils.CHExecUtil$.c2r(CHExecUtil.scala:169)
at org.apache.spark.sql.execution.CHColumnarToRowRDD.$anonfun$f$4(CHColumnarToRowExec.scala:105)
at org.apache.gluten.utils.Arm$.withResource(Arm.scala:25)
at org.apache.gluten.metrics.GlutenTimeMetric$.millis(GlutenTimeMetric.scala:37)
at org.apache.spark.sql.execution.CHColumnarToRowRDD.$anonfun$f$2(CHColumnarToRowExec.scala:105)
at scala.collection.Iterator$$anon$10.nextCur(Iterator.scala:587)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:601)
at org.apache.spark.sql.execution.aggregate.MergingSessionsExec.$anonfun$doExecute$1(MergingSessionsExec.scala:71)
at org.apache.spark.sql.execution.aggregate.MergingSessionsExec.$anonfun$doExecute$1$adapted(MergingSessionsExec.scala:68)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2(RDD.scala:881)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2$adapted(RDD.scala:881)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
```

Reproduce the SQL case in the issue, then trace conversion through CHBlockConverterJniWrapper, CHExecUtil.scala, CHColumnarToRowRDD, and MergingSessionsExec. Done means the session aggregation with sum(numClicks) completes without the AggregateFunction conversion error and returns the expected rows.

Written by the indexing model from the issue text.