mrendi29 opened a new issue, #5721: URL: https://github.com/apache/iceberg/issues/5721
### Query engine Apache Spark (PySpark) ### Question On https://iceberg.apache.org/docs/latest/spark-writes/#writing-to-partitioned-tables if you need to register the bucket UDF you can do so by: ``` import org.apache.iceberg.spark.IcebergSpark import org.apache.spark.sql.types.DataTypes IcebergSpark.registerBucketUDF(spark, "iceberg_bucket16", DataTypes.LongType, 16) ``` How would we do this in PySpark? Does the method below work or is there another suggested method? ``` from pyspark.sql.types import LongType from pyspark.sql import functions as F spark.udf.register("iceberg_bucket16", F.bucket(16), LongType()) ``` -- 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]
