mark-bathori commented on PR #9715: URL: https://github.com/apache/nifi/pull/9715#issuecomment-2657015608
Thanks @exceptionfactory for the review. I've checked the Spark documentations and it seems like they are still using INT96 for timestamps in the latest 3.5.4 version: https://spark.apache.org/docs/3.5.4/sql-data-sources-parquet.html I think the support of reading INT96 type would be useful for users migrating their data into something non-deprecated format but it is just unfortunate that the **parquet-avro** lib doesn't provide any option for it beside the current byte array format. I'm not really sure about introducing another ParquetReader just for this function. I'll think about a new approach which completely avoids the AvroTypeUtil and ObjectLocalDateTimeFieldConverter classes but due the complexity of supporting this I'm closing this PR for now. -- 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]
