Hi,
I do not see any indication of errors or executor getting killed in spark
UI - jobs, stages, event timelines. No task failures. I also don't see any
errors in executor logs.
Thanks
On Wed, Jun 22, 2016 at 2:32 AM, Ted Yu <yuzhih...@gmail.com> wrote:
> For the run which returned incorrect result, did you observe any error (on
> workers) ?
>
> Cheers
>
> On Tue, Jun 21, 2016 at 10:42 PM, Nirav Patel <npa...@xactlycorp.com>
> wrote:
>
>> I have an RDD[String, MyObj] which is a result of Join + Map operation.
>> It has no partitioner info. I run reduceByKey without passing any
>> Partitioner or partition counts. I observed that output aggregation result
>> for given key is incorrect sometime. like 1 out of 5 times. It looks like
>> reduce operation is joining values from two different keys. There is no
>> configuration change between multiple runs. I am scratching my head over
>> this. I verified results by printing out RDD before and after reduce
>> operation; collecting subset at driver.
>>
>> Besides shuffle and storage memory fraction I use following options:
>>
>> sparkConf.set("spark.driver.userClassPathFirst","true")
>> sparkConf.set("spark.unsafe.offHeap","true")
>> sparkConf.set("spark.reducer.maxSizeInFlight","128m")
>> sparkConf.set("spark.serializer",
>> "org.apache.spark.serializer.KryoSerializer")
>>
>>
>>
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>
>
>
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