Thank's for reply. I solved porblem with importing
org.apache.spark.SparkContext._ by Imran Rashid suggestion.

In the sake of interest, does JavaPairRDD intended for use from java? What
is the purpose of this class? Does my rdd implicitly converted to it in
some circumstances?

2015-02-12 19:42 GMT+04:00 Ted Yu <[email protected]>:

> You can use JavaPairRDD which has:
>
>   override def wrapRDD(rdd: RDD[(K, V)]): JavaPairRDD[K, V] =
> JavaPairRDD.fromRDD(rdd)
>
> Cheers
>
> On Thu, Feb 12, 2015 at 7:36 AM, Vladimir Protsenko <[email protected]
> > wrote:
>
>> Hi. I am stuck with how to save file to hdfs from spark.
>>
>> I have written MyOutputFormat extends FileOutputFormat<String, MyObject>,
>> then in spark calling this:
>>
>>   rddres.saveAsHadoopFile[MyOutputFormat]("hdfs://localhost/output") or
>>   rddres.saveAsHadoopFile("hdfs://localhost/output", classOf[String],
>> classOf[MyObject],
>>                                    classOf[MyOutputFormat])
>>
>> where rddres is RDD[(String, MyObject)] from up of transformation
>> pipeline.
>>
>> Compilation error is: /value saveAsHadoopFile is not a member of
>> org.apache.spark.rdd.RDD[(String, vlpr.MyObject)]/.
>>
>> Could someone give me insights on what could be done here to make it
>> working? Why it is not a member? Because of wrong types?
>>
>>
>>
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>>
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