Re: Spark Configuration

2019-07-19 Thread Amarnath Venkataswamy
of this is also covered in the two links I sent. > > > On Thu, Jul 18, 2019 at 10:37 PM Amarnath Venkataswamy < > amarnath.venkatasw...@gmail.com> wrote: > >> After I set the shuffle parallelism i can able to complete the job without >> failure but there is one

Re: Spark Configuration

2019-07-18 Thread Amarnath Venkataswamy
. If we can do this in less than one to 2 hours(incremental update : 240 million daily) after tuning all the memory and other parameters i would be very happy. On Fri, Jul 19, 2019 at 12:19 AM Amarnath Venkataswamy < amarnath.venkatasw...@gmail.com> wrote: > yes.I am looking for the s

Re: Spark Configuration

2019-07-18 Thread Amarnath Venkataswamy
t; > > On Thu, Jul 18, 2019 at 9:37 AM Vinoth Chandar > wrote: > > > > > https://cwiki.apache.org/confluence/display/HUDI/Tuning+Guide > > > https://hudi.apache.org/performance.html > > > are good resources for what you need. > > > > >

Spark Configuration

2019-07-18 Thread Amarnath Venkataswamy
Hi Can you anyone of you share the Spark configuration used at UBER I didn't save that link to my favorites. I am currently doing some performance test against 240million records and job is failing for one or other reasons with memory. Regards Amarnath

Hoodie dataset write without partition

2019-06-23 Thread Amarnath Venkataswamy
Hi Is there any option to write the hoodie dataset without any partition? I tried but hive sync is failing when you sync up without any partition. Delta streamer creates with default as partition when there is no partition column. Sent from my iPhone

Re: Hudi on Mapr

2019-05-14 Thread Amarnath Venkataswamy
; Do you mean mapr fs? If so, I don't think this has come up before. I think >> it should be doable though. >> Can you provide more details may be? >> >> Thanks >> Vinoth >> >> On Tue, May 14, 2019 at 8:18 AM Amarnath Venkataswamy < >>

Hudi on Mapr

2019-05-14 Thread Amarnath Venkataswamy
Hi Is there anyone implemented the Hudi on Mapr platform? Sent from my iPhone