RLashofRegas opened a new issue, #5977: URL: https://github.com/apache/iceberg/issues/5977
### Query engine Spark ### Question In the documentation for Spark writes, under the section for [Writing to partitioned tables](https://iceberg.apache.org/docs/latest/spark-writes/#writing-to-partitioned-tables), there are two Spark Jira issues linked that explain why (1) pre-write sort is required ([SPARK-23889](https://issues.apache.org/jira/browse/SPARK-23889)), and (2) manually registering the iceberg bucket function as a UDF is required for bucket-partitioned tables ([SPARK-27658](https://issues.apache.org/jira/browse/SPARK-27658)). Both of these issues are in the resolved state. 1. Is the Iceberg documentation still valid? 2. If not, what release versions of Spark/Iceberg support writing to bucket-partitioned tables without the steps above? 3. If so, how can I write to a bucket-partitioned table with PySpark given that (as far as I can tell) the bucket function is not available as a Python API so I cannot register it as a UDF? -- 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] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
