I used to hit this issue when my data size was too large and the number of
partitions was too large ( > 1200 ), I got ride of it by
- Reducing the number of partitions
- Setting the following while creating the sparkContext:
.set("spark.rdd.compress","true")
.set("spark.storage.memoryFraction","1")
.set("spark.core.connection.ack.wait.timeout","600")
.set("spark.akka.frameSize","50")
Thanks
Best Regards
On Sun, Oct 19, 2014 at 6:52 AM, marylucy <[email protected]> wrote:
> When doing groupby for big data,may be 500g,some partition tasks
> success,some partition tasks fetchfailed error. Spark system retry
> previous stage,but always fail
> 6 computers : 384g
> Worker:40g*7 for one computer
>
> Can anyone tell me why fetch failed???
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