[SUPPORT] `PartitionedFile`'s size estimation in `FileSourceScanExec#createReadRDD` when enable `NewHoodieParquetFileFormat`

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**Describe the problem you faced**

I had a question when reading the source code in `NewHoodieParquetFileFormat` and `HoodieFileIndex`.

When we enable `hoodie.datasource.read.use.new.parquet.file.format` and then hudi will provide a `HadoopFsRelation` with `NewHoodieParquetFileFormat`.


And `FileSourceScanExec#createReadRDD` will query needed Partitions.

`relation.location.listFiles` in this case will be redirected to `HoodieFileIndex#listFiles`.

And I find that for each file-slice:
1. BaseFile is present, return PartitionedFile with BaseFile's status
2. LogFile nonEmpty, return PartitionedFile with any (random maybe) LogFile's status.

My question is, should we choose the file with the median log-files sorted by size as the PartitionedFile rather than a random log-file?
In Spark, it merges multiple PartitionedFile into a FilePartition based on the size of each PartitionedFile.

I think for a PartitionedFile that is actually a FileSlice, we should choose a more representative file size.

**To Reproduce**

Steps to reproduce the behavior:

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**Expected behavior**

A clear and concise description of what you expected to happen.

**Environment Description**

* Hudi version :

* Spark version :

* Hive version :

* Hadoop version :

* Storage (HDFS/S3/GCS..) :

* Running on Docker? (yes/no) :

**Additional context**

Add any other context about the problem here.

**Stacktrace**

```Add the stacktrace of the error.```

Start by reading NewHoodieParquetFileFormat and HoodieFileIndex, then trace how FileSourceScanExec#createReadRDD uses relation.location.listFiles and how Spark groups PartitionedFile entries into FilePartition. Determine whether the selected log-file status gives a representative file-slice size; done means the intended sizing behavior is decided and covered for base-file and log-file cases.

Written by the indexing model from the issue text.