You should not use SparkContext or RDD directly in your closures.
Could you show the codes of "method1"? Maybe you only needs join or
something else. E.g.,
val cassandraRDD = sc.cassandraTable("keySpace", "tableName")
reRDD.join(cassandraRDD).map(....).saveAsTextFile(outputDir)
On Tue, Jan 19, 2016 at 4:12 AM, Ricardo Paiva <ricardo.pa...@corp.globo.com
> wrote:
> Did you try SparkContext.getOrCreate() ?
>
> You don't need to pass the sparkContext to the map function, you can
> retrieve it from the SparkContext singleton.
>
> Regards,
>
> Ricardo
>
>
> On Mon, Jan 18, 2016 at 6:29 PM, gpatcham [via Apache Spark User List]
> <[hidden
> email] <http:///user/SendEmail.jtp?type=node&node=26006&i=0>> wrote:
>
>> Hi,
>>
>> I have a use case where I need to pass sparkcontext in map function
>>
>> reRDD.map(row =>method1(row,sc)).saveAsTextFile(outputDir)
>>
>> Method1 needs spark context to query cassandra. But I see below error
>>
>> java.io.NotSerializableException: org.apache.spark.SparkContext
>>
>> Is there a way we can fix this ?
>>
>> Thanks
>>
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>
>
> --
> Ricardo Paiva
> Big Data
> *globo.com* <http://www.globo.com>
>
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> TASk not serilizable error
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