Actually, when I run following code,
val textFile = sc.textFile("Sample.txt")
val counts = textFile.flatMap(line => line.split(" "))
.map(word => (word, 1))
.reduceByKey(_ + _)
It save the results into more than one partition like part-00000,
part-00001. I want to collect all of them into one file.
2017-10-20 16:43 GMT+03:00 Marco Mistroni <mmistr...@gmail.com>:
> Hi
> Could you just create an rdd/df out of what you want to save and store it
> in hdfs?
> Hth
>
> On Oct 20, 2017 9:44 AM, "Uğur Sopaoğlu" <usopao...@gmail.com> wrote:
>
>> Hi all,
>>
>> In word count example,
>>
>> val textFile = sc.textFile("Sample.txt")
>> val counts = textFile.flatMap(line => line.split(" "))
>> .map(word => (word, 1))
>> .reduceByKey(_ + _)
>> counts.saveAsTextFile("hdfs://master:8020/user/abc")
>>
>> I want to write collection of "*counts" *which is used in code above to
>> HDFS, so
>>
>> val x = counts.collect()
>>
>> Actually I want to write *x *to HDFS. But spark wants to RDD to write
>> sometihng to HDFS
>>
>> How can I write Array[(String,Int)] to HDFS
>>
>>
>> --
>> Uğur
>>
>
--
Uğur Sopaoğlu
