firasomrane commented on issue #9820: URL: https://github.com/apache/iceberg/issues/9820#issuecomment-2990837278
To not impact the read performance of all the consumers of the table you can set `spark.sql.execution.arrow.useLargeVarTypes` [spark config ](https://spark.apache.org/docs/latest/configuration.html#:~:text=spark.sql.execution.arrow.useLargeVarTypes) to `true` only when running the spark jobs that will potentially fail. if you are using `spark >=3.5.0` . If read performance is important for you setting `read.parquet.vectorization.enabled=false` will have a negative impact since that will disallow batch reads of rows from parquet files. -- 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 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
