Removing nulls while mapping a JavaRDD












0















I am developing a Java + Apache Spark application. One of its funcionalities is to trim Strings. For example:



// Having JavaSparkContext jsc previously defined and a function like 
// the following already defined:
private String trim(String s, int charsToTrim);
// that returns a new String with length = s.length() - charsToTrim or
// null if its new length is <= 0

JavaRDD<String> original = jsc.parallelize(Arrays.asList("aaa", "bbbb", "ccccc");
int num = 4;
JavaRDD<String> mapped = original.map(s -> trim(s, num));


The new JavaRDD mapped will contain (null, null, "c"), and I will have to clean null values with a filter.



The question I have is: Is there any way to remove those values while doing the map or to don't return any value at while mapping all if the result is null?



Thank you.










share|improve this question



























    0















    I am developing a Java + Apache Spark application. One of its funcionalities is to trim Strings. For example:



    // Having JavaSparkContext jsc previously defined and a function like 
    // the following already defined:
    private String trim(String s, int charsToTrim);
    // that returns a new String with length = s.length() - charsToTrim or
    // null if its new length is <= 0

    JavaRDD<String> original = jsc.parallelize(Arrays.asList("aaa", "bbbb", "ccccc");
    int num = 4;
    JavaRDD<String> mapped = original.map(s -> trim(s, num));


    The new JavaRDD mapped will contain (null, null, "c"), and I will have to clean null values with a filter.



    The question I have is: Is there any way to remove those values while doing the map or to don't return any value at while mapping all if the result is null?



    Thank you.










    share|improve this question

























      0












      0








      0








      I am developing a Java + Apache Spark application. One of its funcionalities is to trim Strings. For example:



      // Having JavaSparkContext jsc previously defined and a function like 
      // the following already defined:
      private String trim(String s, int charsToTrim);
      // that returns a new String with length = s.length() - charsToTrim or
      // null if its new length is <= 0

      JavaRDD<String> original = jsc.parallelize(Arrays.asList("aaa", "bbbb", "ccccc");
      int num = 4;
      JavaRDD<String> mapped = original.map(s -> trim(s, num));


      The new JavaRDD mapped will contain (null, null, "c"), and I will have to clean null values with a filter.



      The question I have is: Is there any way to remove those values while doing the map or to don't return any value at while mapping all if the result is null?



      Thank you.










      share|improve this question














      I am developing a Java + Apache Spark application. One of its funcionalities is to trim Strings. For example:



      // Having JavaSparkContext jsc previously defined and a function like 
      // the following already defined:
      private String trim(String s, int charsToTrim);
      // that returns a new String with length = s.length() - charsToTrim or
      // null if its new length is <= 0

      JavaRDD<String> original = jsc.parallelize(Arrays.asList("aaa", "bbbb", "ccccc");
      int num = 4;
      JavaRDD<String> mapped = original.map(s -> trim(s, num));


      The new JavaRDD mapped will contain (null, null, "c"), and I will have to clean null values with a filter.



      The question I have is: Is there any way to remove those values while doing the map or to don't return any value at while mapping all if the result is null?



      Thank you.







      java apache-spark null






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      asked Nov 19 '18 at 22:26









      Roi G.Roi G.

      33




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          To remove or filter some values you can always use .filter over an RDD.



          But you can not use .map for skipping the elements or filtering them. However, you can use flatMap method here which supports the intended functionality. Try the following line in your code:



          mapped.flatMap(x -> Arrays.asList((x == null)? (new String[0]) : (new String{x})).iterator());





          share|improve this answer
























          • Thank you so much, that gave me the hint I needed!

            – Roi G.
            Nov 20 '18 at 21:40











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          1 Answer
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          active

          oldest

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          active

          oldest

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          active

          oldest

          votes









          0














          To remove or filter some values you can always use .filter over an RDD.



          But you can not use .map for skipping the elements or filtering them. However, you can use flatMap method here which supports the intended functionality. Try the following line in your code:



          mapped.flatMap(x -> Arrays.asList((x == null)? (new String[0]) : (new String{x})).iterator());





          share|improve this answer
























          • Thank you so much, that gave me the hint I needed!

            – Roi G.
            Nov 20 '18 at 21:40
















          0














          To remove or filter some values you can always use .filter over an RDD.



          But you can not use .map for skipping the elements or filtering them. However, you can use flatMap method here which supports the intended functionality. Try the following line in your code:



          mapped.flatMap(x -> Arrays.asList((x == null)? (new String[0]) : (new String{x})).iterator());





          share|improve this answer
























          • Thank you so much, that gave me the hint I needed!

            – Roi G.
            Nov 20 '18 at 21:40














          0












          0








          0







          To remove or filter some values you can always use .filter over an RDD.



          But you can not use .map for skipping the elements or filtering them. However, you can use flatMap method here which supports the intended functionality. Try the following line in your code:



          mapped.flatMap(x -> Arrays.asList((x == null)? (new String[0]) : (new String{x})).iterator());





          share|improve this answer













          To remove or filter some values you can always use .filter over an RDD.



          But you can not use .map for skipping the elements or filtering them. However, you can use flatMap method here which supports the intended functionality. Try the following line in your code:



          mapped.flatMap(x -> Arrays.asList((x == null)? (new String[0]) : (new String{x})).iterator());






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 19 '18 at 23:43









          anuj saxenaanuj saxena

          24917




          24917













          • Thank you so much, that gave me the hint I needed!

            – Roi G.
            Nov 20 '18 at 21:40



















          • Thank you so much, that gave me the hint I needed!

            – Roi G.
            Nov 20 '18 at 21:40

















          Thank you so much, that gave me the hint I needed!

          – Roi G.
          Nov 20 '18 at 21:40





          Thank you so much, that gave me the hint I needed!

          – Roi G.
          Nov 20 '18 at 21:40


















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