Right, with beeline CLI, I can see logs just fine. But with the java JDBC client code ( https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients) I can't see stdout logs
On Mon, Oct 19, 2015 at 10:26 PM, r7raul1...@163.com <r7raul1...@163.com> wrote: > You can check more option from > https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients . > > > *--showWarnings=*[true/false] > > Display warnings that are reported on the connection after issuing any > HiveQL commands. Default is false. > > Usage: beeline --showWarnings=true > *--showNestedErrs=*[true/false] > > Display nested errors. Default is false. > > Usage: beeline --showNestedErrs=true > > ------------------------------ > r7raul1...@163.com > > > *From:* Jerrick Hoang <jerrickho...@gmail.com> > *Date:* 2015-10-20 11:55 > *To:* user <user@hive.apache.org> > *Subject:* Re: Hiveserver2 client stdout > That would just increase the log level on the server side right? I want > the stdout log sent to the jdbc client. > > On Mon, Oct 19, 2015 at 6:49 PM, r7raul1...@163.com <r7raul1...@163.com> > wrote: > >> start hiveserver2 with --hiveconf hive.root.logger=DEBUG,console . >> Then check hiveserver2 log. >> >> ------------------------------ >> r7raul1...@163.com >> >> >> *From:* Jerrick Hoang <jerrickho...@gmail.com> >> *Date:* 2015-10-20 09:03 >> *To:* user <user@hive.apache.org> >> *Subject:* Hiveserver2 client stdout >> Hi all, >> >> >> I have a hiveserver2 client running on a remote server. I'm able to >> connect to it via beeline CLI and everything works fine but when I try to >> query via a JDBC client, the stdout is not there. For example, if the >> server side throws an exception, beeline can show the exception but all the >> JDBC client can do is giving me ` Error while processing statement: FAILED: >> Execution Error, return code 2 from >> org.apache.hadoop.hive.ql.exec.mr.MapRedTask` which is not very helpful. Is >> there a way to capture all stdout stderr using a JDBC? I figure if beeline >> is able to do it then I should be able to write a jdbc client to do it too, >> >> THanks, >> J >> >> >
