This exception is already handled well, just noisy, should be muted.
On Wed, Apr 13, 2016 at 4:52 PM, Pete Werner <pwer...@freelancer.com> wrote:
> Hi
>
> I am new to spark & pyspark.
>
> I am reading a small csv file (~40k rows) into a dataframe.
>
> from pyspark.sql import functions as F
> df =
> sqlContext.read.format('com.databricks.spark.csv').options(header='true',
> inferschema='true').load('/tmp/sm.csv')
> df = df.withColumn('verified', F.when(df['verified'] == 'Y',
> 1).otherwise(0))
> df2 = df.map(lambda x: Row(label=float(x[0]),
> features=Vectors.dense(x[1:]))).toDF()
>
> I get some weird error that does not occur every single time, but does
> happen pretty regularly
>
> >>> df2.show(1)
> +--------------------+---------+
> | features| label|
> +--------------------+---------+
> |[0.0,0.0,0.0,0.0,...|0.0|
> +--------------------+---------+
> only showing top 1 row
>
> >>> df2.count()
> 41999
>
> >>> df2.show(1)
> +--------------------+---------+
> | features| label|
> +--------------------+---------+
> |[0.0,0.0,0.0,0.0,...|0.0|
> +--------------------+---------+
> only showing top 1 row
>
> >>> df2.count()
> 41999
>
> >>> df2.show(1)
> Traceback (most recent call last):
> File "spark-1.6.1/python/lib/pyspark.zip/pyspark/daemon.py", line 157,
> in manager
> File "spark-1.6.1/python/lib/pyspark.zip/pyspark/daemon.py", line 61, in
> worker
> File "spark-1.6.1/python/lib/pyspark.zip/pyspark/worker.py", line 136,
> in main
> if read_int(infile) == SpecialLengths.END_OF_STREAM:
> File "spark-1.6.1/python/lib/pyspark.zip/pyspark/serializers.py", line
> 545, in read_int
> raise EOFError
> EOFError
> +--------------------+---------+
> | features| label|
> +--------------------+---------+
> |[0.0,0.0,0.0,0.0,...|4700734.0|
> +--------------------+---------+
> only showing top 1 row
>
> Once that EOFError has been raised, I will not see it again until I do
> something that requires interacting with the spark server
>
> When I call df2.count() it shows that [Stage xxx] prompt which is what I
> mean by it going to the spark server.
>
> Anything that triggers that seems to eventually end up giving the EOFError
> again when I do something with df2.
>
> It does not seem to happen with df (vs. df2) so seems like it must be
> something happening with the df.map() line.
>
> --
>
> Pete Werner
> Data Scientist
> Freelancer.com
>
> Level 20
> 680 George Street
> Sydney NSW 2000
>
> e: pwer...@freelancer.com
> p: +61 2 8599 2700
> w: http://www.freelancer.com
>
>
