Hi , Yes I understand its skew based problem but how can it be avoided . Could you please suggest?
I am in Spark2.4 Thanks Rajat On Tue, Jan 26, 2021 at 3:58 PM German Schiavon <gschiavonsp...@gmail.com> wrote: > Hi, > > One word : SKEW > > It seems the classic skew problem, you would have to apply skew techniques > to repartition your data properly or if you are in spark 3.0+ try the > skewJoin optimization. > > On Tue, 26 Jan 2021 at 11:20, rajat kumar <kumar.rajat20...@gmail.com> > wrote: > >> Hi Everyone, >> >> I am running a spark application where I have applied 2 left joins. 1st >> join in Broadcast and another one is normal. >> Out of 200 tasks , last 1 task is stuck . It is running at "ANY" Locality >> level. It seems data skewness issue. >> It is doing too much spill and shuffle write is too much. Following error >> is coming in executor logs: >> >> INFO UnsafeExternalSorter: Thread spilling sort data of 10.4 GB to disk >> (10 times so far) >> >> >> Can anyone please suggest what can be wrong? >> >> Thanks >> Rajat >> >
