ferenc-csaky opened a new pull request, #27231:
URL: https://github.com/apache/flink/pull/27231
## What is the purpose of the change
Adds support to be able to cast dynamic SQL params to `RAW` type.
## Brief change log
In case we encounter `RawRelDataType` in
`TypeInferenceOperandChecker#castTo`, then construct the `SqlTypeNameSpec`
manually, cause Calcite will throw an exception, as it does not support
`SqlTypeName.OTHER`, which `RawRelDataType` has. More info on the Jira.
## Verifying this change
Verified with the following SQL:
```sql
SELECT * FROM VectorEmbed ORDER BY cosine_similarity(?, name_vector) DESC
```
Before the current patch, it threw an exception (pasted to the Jira). With
the current patch, the validate query looks like this:
```sql
SELECT `VectorEmbed`.`customerid`, `VectorEmbed`.`name`,
`VectorEmbed`.`name_vector`
FROM `default_catalog`.`default_database`.`VectorEmbed` AS `VectorEmbed`
ORDER BY `cosine_similarity`(CAST(? AS RAW('<REDACTED>', '<REDACTED')),
`name_vector`) DESC
```
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): no
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: no
- The serializers: no
- The runtime per-record code paths (performance sensitive): no
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: no
- The S3 file system connector: no
## Documentation
- Does this pull request introduce a new feature? no
- If yes, how is the feature documented? not applicable
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