Comparing 2 Scala 2D arrays: getting error: value sameElements is not a member of (String, String)












0















Hi Im trying the following operation in Scala:



I have 2 dataframes.
I want to compare their columns names and then column types.
I started by extracting the column names
Then I sorted the array
and finally printed it



val df1colArr = df1.dtypes

val df2colArr = df2.dtypes


Sorting.quickSort(df1colArr)
Sorting.quickSort(df2colArr)


println(df1colArr.deep.mkString("n"))
println(df2colArr.deep.mkString("n"))


The output looks like this:



(age,IntegerType)
(color,StringType)
(dealer_id,StringType)
(first_name,StringType)
(id,IntegerType)
(last_name,StringType)
(loyalty_score,StringType)
(model,StringType)
(purchase_date,TimestampType)
(purchase_price,StringType)
(rank_dr,IntegerType)
(service_date,TimestampType)
(vin_num,StringType)

(age,IntegerType)
(color,StringType)
(dealer_id,StringType)
(first_name,StringType)
(id,IntegerType)
(last_name,StringType)
(loyalty_score,IntegerType)
(model,StringType)
(purchase_date,TimestampType)
(purchase_price,StringType)
(rank_dr,IntegerType)
(repeat_likely,IntegerType)
(service_date,TimestampType)
(vin_num,StringType)


Next I have a simple utility to compare 2 arrays above based on their value at index 0:



val col_similar: ( Array[(String,String)], Array[(String, String)] )=> String 
= (x,y) => {if (x(0).sameElements(y(0))) "similar" else "different"}


when I run the above code. I get the following error:



Error:(59, 105) value sameElements is not a member of (String, String)
val col_similar: ( Array[(String,String)], Array[(String, String)] ) => String
= (x,y) => {if (x(0).sameElements(y(0))) "similar" else "different"}


Please help me understand why this code wont work....
Thanks so much










share|improve this question



























    0















    Hi Im trying the following operation in Scala:



    I have 2 dataframes.
    I want to compare their columns names and then column types.
    I started by extracting the column names
    Then I sorted the array
    and finally printed it



    val df1colArr = df1.dtypes

    val df2colArr = df2.dtypes


    Sorting.quickSort(df1colArr)
    Sorting.quickSort(df2colArr)


    println(df1colArr.deep.mkString("n"))
    println(df2colArr.deep.mkString("n"))


    The output looks like this:



    (age,IntegerType)
    (color,StringType)
    (dealer_id,StringType)
    (first_name,StringType)
    (id,IntegerType)
    (last_name,StringType)
    (loyalty_score,StringType)
    (model,StringType)
    (purchase_date,TimestampType)
    (purchase_price,StringType)
    (rank_dr,IntegerType)
    (service_date,TimestampType)
    (vin_num,StringType)

    (age,IntegerType)
    (color,StringType)
    (dealer_id,StringType)
    (first_name,StringType)
    (id,IntegerType)
    (last_name,StringType)
    (loyalty_score,IntegerType)
    (model,StringType)
    (purchase_date,TimestampType)
    (purchase_price,StringType)
    (rank_dr,IntegerType)
    (repeat_likely,IntegerType)
    (service_date,TimestampType)
    (vin_num,StringType)


    Next I have a simple utility to compare 2 arrays above based on their value at index 0:



    val col_similar: ( Array[(String,String)], Array[(String, String)] )=> String 
    = (x,y) => {if (x(0).sameElements(y(0))) "similar" else "different"}


    when I run the above code. I get the following error:



    Error:(59, 105) value sameElements is not a member of (String, String)
    val col_similar: ( Array[(String,String)], Array[(String, String)] ) => String
    = (x,y) => {if (x(0).sameElements(y(0))) "similar" else "different"}


    Please help me understand why this code wont work....
    Thanks so much










    share|improve this question

























      0












      0








      0








      Hi Im trying the following operation in Scala:



      I have 2 dataframes.
      I want to compare their columns names and then column types.
      I started by extracting the column names
      Then I sorted the array
      and finally printed it



      val df1colArr = df1.dtypes

      val df2colArr = df2.dtypes


      Sorting.quickSort(df1colArr)
      Sorting.quickSort(df2colArr)


      println(df1colArr.deep.mkString("n"))
      println(df2colArr.deep.mkString("n"))


      The output looks like this:



      (age,IntegerType)
      (color,StringType)
      (dealer_id,StringType)
      (first_name,StringType)
      (id,IntegerType)
      (last_name,StringType)
      (loyalty_score,StringType)
      (model,StringType)
      (purchase_date,TimestampType)
      (purchase_price,StringType)
      (rank_dr,IntegerType)
      (service_date,TimestampType)
      (vin_num,StringType)

      (age,IntegerType)
      (color,StringType)
      (dealer_id,StringType)
      (first_name,StringType)
      (id,IntegerType)
      (last_name,StringType)
      (loyalty_score,IntegerType)
      (model,StringType)
      (purchase_date,TimestampType)
      (purchase_price,StringType)
      (rank_dr,IntegerType)
      (repeat_likely,IntegerType)
      (service_date,TimestampType)
      (vin_num,StringType)


      Next I have a simple utility to compare 2 arrays above based on their value at index 0:



      val col_similar: ( Array[(String,String)], Array[(String, String)] )=> String 
      = (x,y) => {if (x(0).sameElements(y(0))) "similar" else "different"}


      when I run the above code. I get the following error:



      Error:(59, 105) value sameElements is not a member of (String, String)
      val col_similar: ( Array[(String,String)], Array[(String, String)] ) => String
      = (x,y) => {if (x(0).sameElements(y(0))) "similar" else "different"}


      Please help me understand why this code wont work....
      Thanks so much










      share|improve this question














      Hi Im trying the following operation in Scala:



      I have 2 dataframes.
      I want to compare their columns names and then column types.
      I started by extracting the column names
      Then I sorted the array
      and finally printed it



      val df1colArr = df1.dtypes

      val df2colArr = df2.dtypes


      Sorting.quickSort(df1colArr)
      Sorting.quickSort(df2colArr)


      println(df1colArr.deep.mkString("n"))
      println(df2colArr.deep.mkString("n"))


      The output looks like this:



      (age,IntegerType)
      (color,StringType)
      (dealer_id,StringType)
      (first_name,StringType)
      (id,IntegerType)
      (last_name,StringType)
      (loyalty_score,StringType)
      (model,StringType)
      (purchase_date,TimestampType)
      (purchase_price,StringType)
      (rank_dr,IntegerType)
      (service_date,TimestampType)
      (vin_num,StringType)

      (age,IntegerType)
      (color,StringType)
      (dealer_id,StringType)
      (first_name,StringType)
      (id,IntegerType)
      (last_name,StringType)
      (loyalty_score,IntegerType)
      (model,StringType)
      (purchase_date,TimestampType)
      (purchase_price,StringType)
      (rank_dr,IntegerType)
      (repeat_likely,IntegerType)
      (service_date,TimestampType)
      (vin_num,StringType)


      Next I have a simple utility to compare 2 arrays above based on their value at index 0:



      val col_similar: ( Array[(String,String)], Array[(String, String)] )=> String 
      = (x,y) => {if (x(0).sameElements(y(0))) "similar" else "different"}


      when I run the above code. I get the following error:



      Error:(59, 105) value sameElements is not a member of (String, String)
      val col_similar: ( Array[(String,String)], Array[(String, String)] ) => String
      = (x,y) => {if (x(0).sameElements(y(0))) "similar" else "different"}


      Please help me understand why this code wont work....
      Thanks so much







      scala apache-spark






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      asked Jan 1 at 17:57









      banditKingbanditKing

      94




      94
























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          x(0) is a pair of strings. If you wanted to compare arrays of pairs x and y, then do it:



          if (x sameElements y) ... else ...


          By the way, I doubt that this approach will scale to actual datasets - collecting the entire dataframe to the master node is usually a bad idea. Maybe you can find some better ideas here.






          share|improve this answer























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            1 Answer
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            1 Answer
            1






            active

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            active

            oldest

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            active

            oldest

            votes









            1














            x(0) is a pair of strings. If you wanted to compare arrays of pairs x and y, then do it:



            if (x sameElements y) ... else ...


            By the way, I doubt that this approach will scale to actual datasets - collecting the entire dataframe to the master node is usually a bad idea. Maybe you can find some better ideas here.






            share|improve this answer




























              1














              x(0) is a pair of strings. If you wanted to compare arrays of pairs x and y, then do it:



              if (x sameElements y) ... else ...


              By the way, I doubt that this approach will scale to actual datasets - collecting the entire dataframe to the master node is usually a bad idea. Maybe you can find some better ideas here.






              share|improve this answer


























                1












                1








                1







                x(0) is a pair of strings. If you wanted to compare arrays of pairs x and y, then do it:



                if (x sameElements y) ... else ...


                By the way, I doubt that this approach will scale to actual datasets - collecting the entire dataframe to the master node is usually a bad idea. Maybe you can find some better ideas here.






                share|improve this answer













                x(0) is a pair of strings. If you wanted to compare arrays of pairs x and y, then do it:



                if (x sameElements y) ... else ...


                By the way, I doubt that this approach will scale to actual datasets - collecting the entire dataframe to the master node is usually a bad idea. Maybe you can find some better ideas here.







                share|improve this answer












                share|improve this answer



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                answered Jan 1 at 20:41









                Andrey TyukinAndrey Tyukin

                29.3k42350




                29.3k42350
































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