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saveasTextFile(“path”) in scala


Saving a string to HDFS creates line feeds for each characterSpark - load CSV file as DataFrame?saveAsTextFile for non rdd spark scalaHow to save a Map result to a text file in Spark scala?How to save Iterable[String] to hdfs in spark-scalasaveAsTextFile not working with variable pathhow to use mapPartitions followed by saveAsTextFilesUsing iterated writing in HDFS file by using Spark/Scalaerror: value saveAsTextFile is not a member of scala.collection.Map[String,Long]Save output from foreach[unit] to HDFS as text file : Scala Spark













-4















I used Scala in Spark, and I tried to save my file in HDFS file, but I got an error.



I have tried rdd.saveAsTextFile("path"); sc.saveAsTextFile("pathe");
saveAsTextFile("path")



scala> inputJPG.map(x=>x.split("")).map(array=>array(0)).sc.saveAsTextFile("/loudacre/iplist")
<console>:28: error: value sc is not a member of Array[String]
inputJPG.map(x=>x.split("")).map(array=>array(0)).sc.saveAsTextFile("/loudacre/iplist")









share|improve this question

















  • 1





    Can you be a little more specific? What is the structure of your file and what kind of data is in there? Are you simply trying to write a dataframe to hadoop? Have you read this page? spark.apache.org/docs/latest/sql-getting-started.html

    – Tony Fraser
    Mar 8 at 0:57







  • 2





    You should not include .sc here, just use .saveAsTextFile(...) on the RDD. However, it looks like you work with an Array[String] in which case you can't use RDD functions.

    – Shaido
    Mar 8 at 6:02















-4















I used Scala in Spark, and I tried to save my file in HDFS file, but I got an error.



I have tried rdd.saveAsTextFile("path"); sc.saveAsTextFile("pathe");
saveAsTextFile("path")



scala> inputJPG.map(x=>x.split("")).map(array=>array(0)).sc.saveAsTextFile("/loudacre/iplist")
<console>:28: error: value sc is not a member of Array[String]
inputJPG.map(x=>x.split("")).map(array=>array(0)).sc.saveAsTextFile("/loudacre/iplist")









share|improve this question

















  • 1





    Can you be a little more specific? What is the structure of your file and what kind of data is in there? Are you simply trying to write a dataframe to hadoop? Have you read this page? spark.apache.org/docs/latest/sql-getting-started.html

    – Tony Fraser
    Mar 8 at 0:57







  • 2





    You should not include .sc here, just use .saveAsTextFile(...) on the RDD. However, it looks like you work with an Array[String] in which case you can't use RDD functions.

    – Shaido
    Mar 8 at 6:02













-4












-4








-4








I used Scala in Spark, and I tried to save my file in HDFS file, but I got an error.



I have tried rdd.saveAsTextFile("path"); sc.saveAsTextFile("pathe");
saveAsTextFile("path")



scala> inputJPG.map(x=>x.split("")).map(array=>array(0)).sc.saveAsTextFile("/loudacre/iplist")
<console>:28: error: value sc is not a member of Array[String]
inputJPG.map(x=>x.split("")).map(array=>array(0)).sc.saveAsTextFile("/loudacre/iplist")









share|improve this question














I used Scala in Spark, and I tried to save my file in HDFS file, but I got an error.



I have tried rdd.saveAsTextFile("path"); sc.saveAsTextFile("pathe");
saveAsTextFile("path")



scala> inputJPG.map(x=>x.split("")).map(array=>array(0)).sc.saveAsTextFile("/loudacre/iplist")
<console>:28: error: value sc is not a member of Array[String]
inputJPG.map(x=>x.split("")).map(array=>array(0)).sc.saveAsTextFile("/loudacre/iplist")






scala apache-spark hdfs






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 7 at 23:51









Eric.PEric.P

122




122







  • 1





    Can you be a little more specific? What is the structure of your file and what kind of data is in there? Are you simply trying to write a dataframe to hadoop? Have you read this page? spark.apache.org/docs/latest/sql-getting-started.html

    – Tony Fraser
    Mar 8 at 0:57







  • 2





    You should not include .sc here, just use .saveAsTextFile(...) on the RDD. However, it looks like you work with an Array[String] in which case you can't use RDD functions.

    – Shaido
    Mar 8 at 6:02












  • 1





    Can you be a little more specific? What is the structure of your file and what kind of data is in there? Are you simply trying to write a dataframe to hadoop? Have you read this page? spark.apache.org/docs/latest/sql-getting-started.html

    – Tony Fraser
    Mar 8 at 0:57







  • 2





    You should not include .sc here, just use .saveAsTextFile(...) on the RDD. However, it looks like you work with an Array[String] in which case you can't use RDD functions.

    – Shaido
    Mar 8 at 6:02







1




1





Can you be a little more specific? What is the structure of your file and what kind of data is in there? Are you simply trying to write a dataframe to hadoop? Have you read this page? spark.apache.org/docs/latest/sql-getting-started.html

– Tony Fraser
Mar 8 at 0:57






Can you be a little more specific? What is the structure of your file and what kind of data is in there? Are you simply trying to write a dataframe to hadoop? Have you read this page? spark.apache.org/docs/latest/sql-getting-started.html

– Tony Fraser
Mar 8 at 0:57





2




2





You should not include .sc here, just use .saveAsTextFile(...) on the RDD. However, it looks like you work with an Array[String] in which case you can't use RDD functions.

– Shaido
Mar 8 at 6:02





You should not include .sc here, just use .saveAsTextFile(...) on the RDD. However, it looks like you work with an Array[String] in which case you can't use RDD functions.

– Shaido
Mar 8 at 6:02












1 Answer
1






active

oldest

votes


















0














I'm a new student and still learning Scala, so not familiar with RDD and Scala function.
Turn to my problem.I found that is because I have
val xx=data.collect()before which is not RDD, so I can't do data.saveAsTextFile in Spark.
So I moved the .collect() function => val xx=data
Then data.savaAsTextFile("path") works.






share|improve this answer






















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    oldest

    votes






    active

    oldest

    votes









    0














    I'm a new student and still learning Scala, so not familiar with RDD and Scala function.
    Turn to my problem.I found that is because I have
    val xx=data.collect()before which is not RDD, so I can't do data.saveAsTextFile in Spark.
    So I moved the .collect() function => val xx=data
    Then data.savaAsTextFile("path") works.






    share|improve this answer



























      0














      I'm a new student and still learning Scala, so not familiar with RDD and Scala function.
      Turn to my problem.I found that is because I have
      val xx=data.collect()before which is not RDD, so I can't do data.saveAsTextFile in Spark.
      So I moved the .collect() function => val xx=data
      Then data.savaAsTextFile("path") works.






      share|improve this answer

























        0












        0








        0







        I'm a new student and still learning Scala, so not familiar with RDD and Scala function.
        Turn to my problem.I found that is because I have
        val xx=data.collect()before which is not RDD, so I can't do data.saveAsTextFile in Spark.
        So I moved the .collect() function => val xx=data
        Then data.savaAsTextFile("path") works.






        share|improve this answer













        I'm a new student and still learning Scala, so not familiar with RDD and Scala function.
        Turn to my problem.I found that is because I have
        val xx=data.collect()before which is not RDD, so I can't do data.saveAsTextFile in Spark.
        So I moved the .collect() function => val xx=data
        Then data.savaAsTextFile("path") works.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Mar 9 at 4:28









        Eric.PEric.P

        122




        122





























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