purna344 opened a new issue, #9404: URL: https://github.com/apache/iceberg/issues/9404
### Feature Request / Improvement We are using Snowflake Iceberg to read the data from the S3 location and that is working fine for the non partitioned data. But If the data is partitioned and that partitioned is stored similar to legacy HDFS format like `test3/country=USA/part-*1.c000.zstd.parquet` where partitioned column "Country" and its value "USA" is stored in the file path and this column is not stored inside the parquet file, then Snowflake Iceberg is unable to read this data. Whereas other frameworks like Spark, Databricks are able to read this data. We contacted the Snowflake team and they said Iceberg is not able to recognize the partitioned column info in the folder path and Iceberg is expecting the partitioned column information inside the parquet file. We try to read the same data by using Apace Spark Iceberg and it is working and if we try to access same data using Snowflake Iceberg then it is failing and unable to recognize the partition details. To support this folder format through Snowflake Iceberg what changes needs to be done at application side like any config settings etc? Please let us know how to fix this issue. ### Query engine None -- 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: issues-unsubscr...@iceberg.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For additional commands, e-mail: issues-h...@iceberg.apache.org
