Shekharrajak opened a new issue, #3983:
URL: https://github.com/apache/datafusion-comet/issues/3983
### What is the problem the feature request solves?
Apache Spark 4.0 introduced the VARIANT semi-structured data type.
Currently, Spark writes VARIANT columns to Parquet as opaque binary blobs
(value + metadata bytes per row). This means:
- No column pruning: the entire binary blob is read even if only one
sub-field is needed
- No predicate pushdown: filters on VARIANT sub-fields (e.g. payload:temp >
20.0)
cannot be pushed into the Parquet scan
Ref
https://github.com/apache/arrow-rs/issues/6736 ,
https://github.com/apache/parquet-format/pull/456
Although I see https://github.com/apache/arrow-rs/issues/6736 , but not sure
if datafusion leverage it.
### Describe the potential solution
_No response_
### Additional context
_No response_
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
