why do SortedMap and TreeMap have different impacts on performance in spark cluster?











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I have recently run across a weird phenomenon:



var timePosSortedMap = TreeMap.empty[String, String]
var timePosSortedMap1 = SortedMap.empty[String, String]


If i try using timePosSortedMap1 in a dataset, then it tends to give worse performance and to throw some exceptions related to insufficient memory in spark cluster; but when i try timePosSortedMap, there is no such issue.
then i am confused. because we can see SortedMap.empty[A, B] = TreeMap.empty[A, B] in scala's source code.
so can anyone help to shed some light on that? Thanks a ton.










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    up vote
    0
    down vote

    favorite












    I have recently run across a weird phenomenon:



    var timePosSortedMap = TreeMap.empty[String, String]
    var timePosSortedMap1 = SortedMap.empty[String, String]


    If i try using timePosSortedMap1 in a dataset, then it tends to give worse performance and to throw some exceptions related to insufficient memory in spark cluster; but when i try timePosSortedMap, there is no such issue.
    then i am confused. because we can see SortedMap.empty[A, B] = TreeMap.empty[A, B] in scala's source code.
    so can anyone help to shed some light on that? Thanks a ton.










    share|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I have recently run across a weird phenomenon:



      var timePosSortedMap = TreeMap.empty[String, String]
      var timePosSortedMap1 = SortedMap.empty[String, String]


      If i try using timePosSortedMap1 in a dataset, then it tends to give worse performance and to throw some exceptions related to insufficient memory in spark cluster; but when i try timePosSortedMap, there is no such issue.
      then i am confused. because we can see SortedMap.empty[A, B] = TreeMap.empty[A, B] in scala's source code.
      so can anyone help to shed some light on that? Thanks a ton.










      share|improve this question















      I have recently run across a weird phenomenon:



      var timePosSortedMap = TreeMap.empty[String, String]
      var timePosSortedMap1 = SortedMap.empty[String, String]


      If i try using timePosSortedMap1 in a dataset, then it tends to give worse performance and to throw some exceptions related to insufficient memory in spark cluster; but when i try timePosSortedMap, there is no such issue.
      then i am confused. because we can see SortedMap.empty[A, B] = TreeMap.empty[A, B] in scala's source code.
      so can anyone help to shed some light on that? Thanks a ton.







      scala apache-spark






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      share|improve this question








      edited 13 hours ago

























      asked 13 hours ago









      kenneth.sun

      61




      61





























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