ad1happy2go commented on issue #9991: URL: https://github.com/apache/hudi/issues/9991#issuecomment-1798453010
@zyl891229 Yes you are right, there is a issue with bulk_insert operation type along with combination of these two things. Although upsert/insert is running fine, you may use that. I confirmed both cases are failing , when using one partition col or two partition cols JIRA to track - https://issues.apache.org/jira/browse/HUDI-7040 Reproducible code - ``` spark = get_spark_session(spark_version="3.2", hudi_version="0.14.0") insert_df = get_insert_df(spark, 10) hudi_configs = { "hoodie.table.name": TABLE_NAME, "hoodie.datasource.write.recordkey.field": "UUID", "hoodie.datasource.write.precombine.field": "Name", "hoodie.datasource.write.partitionpath.field": "Company", "hoodie.datasource.write.operation": "bulk_insert", "hoodie.datasource.write.hive_style_partitioning": "true", "hoodie.populate.meta.fields": "false", "hoodie.datasource.write.drop.partition.columns": "true" } insert_df.write.format("hudi").mode("append").options(**hudi_configs).save(PATH) ``` -- 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]
