Apache Pinot

Hi everyone. New here and I was just wanting to ask some questions on ingesting arrays, that is `INT_ARRAY`, `FLOAT_ARRAY`, `TIMESTAMP_ARRAY`, etc. I have found that I can ingest using JSON all types as multi-valued dimension columns with the exception of `BOOLEAN`, `TIMESTAMP`, and `BYTES`. I believe that `JSON_ARRAY` isn't a valid type, but I wasn't sure about `BYTES_ARRAY`. If anyone is about and can shed some light, I would be very appreciative. More info present in-thread

For BYTES_ARRAY I get:
```java.lang.UnsupportedOperationException: Unsupported data type : BYTES```
For BOOLEAN_ARRAY I get:
```java.lang.ClassCastException: class [Z cannot be cast to class java.lang.Integer ([Z and java.lang.Integer are in module java.base of loader 'bootstrap')```
For TIMESTAMP_ARRAY I get:
```java.lang.ClassCastException: class java.sql.Timestamp cannot be cast to class java.lang.Long (java.sql.Timestamp is in module java.sql of loader 'platform'; java.lang.Long is in module java.base of loader 'bootstrap')```
So far I have in my docker contained pinot DB a table with all other types in singular and multi-valued form. The schema for the failing types are:
```  "dimensionFieldSpecs": [
    {
      "name": "gamesWon",
      "dataType": "BOOLEAN",
      "singleValueField": false
    },
    {
      "name": "datesPlayed",
      "dataType": "TIMESTAMP",
      "singleValueField": false
    },
    {
      "name": "rawArray",
      "dataType": "BYTES",
      "singleValueField": false
    }```
and the ingestion lines for these columns are:
row 1
```    "datesPlayed": ["2020-01-01 10:45:28", "2020-02-01 10:45:28", "2020-03-01 10:45:28"],
    "gamesWon": [true, false, true],
    "rawArray": ["cd", "ef"]```
row 2
```    "datesPlayed":[] ,
    "gamesWon": [],
    "rawArray": []```


I have also tried ingestion of `TIMESTAMP_ARRAY` as long-typed epoch values, but it makes no difference.

Oh, and I'm using the `org.apache.pinot.plugin.inputformat.json.JSONRecordReader`

<@U03E8MTFCAV> do you mind creating an issue for this?

I assume that would be on <https://github.com/apache/pinot/issues>

<https://github.com/apache/pinot/issues/8635>