Hi Please join carbon mailing list, you can send mail to dev-subscr...@carbondata.apache.org and follow the guide to join. Please find my reply inline.
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 2018-02-02 11:30 GMT+08:00 < dev-reject-1517542240.15377.bipdjkoklbfkadkmg...@carbondata.apache.org>: > > To approve: > dev-accept-1517542240.15377.bipdjkoklbfkadkmg...@carbondata.apache.org > To reject: > dev-reject-1517542240.15377.bipdjkoklbfkadkmg...@carbondata.apache.org > To give a reason to reject: > %%% Start comment > %%% End comment > > > > ---------- 已转发邮件 ---------- > From: ilegend <511618...@qq.com> > To: dev@carbondata.apache.org > Cc: > Bcc: > Date: Fri, 2 Feb 2018 11:30:24 +0800 > Subject: Help, carbondata issues on spark > 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 > > > > > > > > >