Hi 1.no multiple levels partitions , we need three levels partitions, like year,day,hour
Reply : Year,day,hour belong to one column(field) or three columns ? Can you explain, what are your exact scenarios? we can help you to design partition + sort columns to solve your specific query issues. 2.spark needs import carbondata jar, we wouldn't modify the existing sql algorithm Reply : No need to modify any sql rules , you can use all sql which be supported by SparkSQL to query carbondata. 3.low stability, insert failure frequently Reply : What are the exact error ? Regards Liang ilegend wrote > Hi guys > We're testing carbondata for our project. The performance of the > carbondata is better than parquet under the special rules, but there are > some problems. Do you have any solutions for our issues. > Hdfs 2.6, spark 2.1, carbondata 1.3 > 1.no multiple levels partitions , we need three levels partitions, like > year,day,hour > 2.spark needs import carbondata jar, we wouldn't modify the existing sql > algorithm > 3.low stability, insert failure frequently > > Look forward to your reply. > > 发自我的 iPhone -- Sent from: http://apache-carbondata-dev-mailing-list-archive.1130556.n5.nabble.com/
