If you use the spark-csv package:
$ spark-shell --packages com.databricks:spark-csv_2.11:1.3.0
....
scala> val df =
sc.parallelize(Array(Array(1,2,3),Array(2,3,4),Array(3,4,6))).map(x =>
(x(0), x(1), x(2))).toDF()
df: org.apache.spark.sql.DataFrame = [_1: int, _2: int, _3: int]
scala> df.write.format("com.databricks.spark.csv").option("delimiter", "
").save("1.txt")
$ cat 1.txt/*
1 2 3
2 3 4
3 4 6
-Don
On Sat, Feb 27, 2016 at 7:20 PM, Bonsen <hengbohe...@126.com> wrote:
> I get results from RDDs,
> like :
> Array(Array(1,2,3),Array(2,3,4),Array(3,4,6))
> how can I output them to 1.txt
> like :
> 1 2 3
> 2 3 4
> 3 4 6
>
>
>
>
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--
Donald Drake
Drake Consulting
http://www.drakeconsulting.com/
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