parthchandra commented on PR #1723: URL: https://github.com/apache/datafusion-comet/pull/1723#issuecomment-2867573764
One set of Spark Sql test failures in native_iceberg_compat is exactly because this schema evolution/type promotion check is not being performed correctly (or not being performed at all, in fact). I'm trying to address these failures atm by writing a `checkParquetType` for complex types which will end up calling the current `checkParquetType` when it find a `PrimitiveType` value. I was counting on this config to provide compatible results. What types of schema evolution does iceberg require(i.e. support) for complex types? -- 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: github-unsubscr...@datafusion.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For additional commands, e-mail: github-h...@datafusion.apache.org
