jkolash opened a new issue, #11742: URL: https://github.com/apache/iceberg/issues/11742
### Feature Request / Improvement https://github.com/apache/iceberg/blob/main/spark/v3.3/spark/src/main/java/org/apache/iceberg/spark/source/IcebergSource.java#L239 It should default to another catalog implementation as hive is a bigger dependency than other catalog implementations. HadoopCatalog does work when I manually in the debugger set spark.sql.catalog.default_iceberg.type=hadoop spark.sql.catalog.default_iceberg.warehouse=/tmp/testing/warehouse/ I encountered this issue because I would like the ability to load a metadata.json directly via spark ```scala spark.read.format("iceberg").load("s3://bucket/path/metadata/metadata.json") ``` and encounter missing hive dependencies ### Query engine Spark ### Willingness to contribute - [X] I can contribute this improvement/feature independently - [X] I would be willing to contribute this improvement/feature with guidance from the Iceberg community - [ ] I cannot contribute this improvement/feature at this time -- 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
