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Looking for help in Nested groupBy with scalikejdbc?



The Next CEO of Stack OverflowWhere does Scala look for implicits?Scalikejdbc query results as a streamScalikejdbc. Manage transactions without explicit dependency on Scalikejdbc and sessionscalikejdbc - insert if not existsScalikejdbc result set iteratorquery with like clause in scalikejdbcscalikejdbc paginationscalikejdbc streaming with oracleDifference between $param and $param in scalikejdbcNested Objects with ScalikeJDBC










0















I am using Scala 2.12 and have required libraries downloaded via build.sbt.



I have my DB output in below format.
enter image description here



Basically, it is like per valuation date and book, there can be multiple currency data.



I have group by on book (majorly), which will have list of Pnl data based on currency.



Just the rough representation:



 Bookid: 1234,
BookName: EQUITY,
PnlBreakdown: [currency: cad, actual_pnl_local: 100, actual_pnl_cde: 100], [currency: usd, actual_pnl_local: 100, actual_pnl_cde: 130]



Basically. Key will be book and value will be list of pnl data.



I have a case class defined as below:



case class PnlData(valuation_date: Option[String], currency: Option[String],pnl_status: Option[String],actual_pnl_local: Option[String] ,actual_pnl_cde: Option[String], actual_pnl_local_me_adj: Option[String] ,actual_pnl_cde_me_adj: Option[String] ) 
override def toString():String=
s"valuation_date=$valuation_date,currency=$currency,pnl_status=$pnl_status,actual_pnl_local=$actual_pnl_local,actual_pnl_cde=$actual_pnl_cde,actual_pnl_local_me_adj=$actual_pnl_local_me_adj,actual_pnl_cde_me_adj=$actual_pnl_cde_me_adj"



case class BookLevelDaily(book_id: Option[String], book: Option[String], pnlBreakdown: List[SaPnlData])
override def toString():String=
s"book_id=$book_id,book=$book,pnl=$pnlBreakdown"




Basically, my final object is of type BookLevelDaily.



How do I translate the DB output (above) to my BookLevelDaily object?



I can convert the entire result to the list, but further how should I do groupBy?



val list: List[BookLevelDaily] =
sql"""
|SELECT QUERY TO GET ABOVE RESULTSET
""".stripMargin.map(rs =>
BookLevelDaily(
valuation_date = rs.stringOpt("valuation_date"),
book_id = rs.stringOpt("book_id"),
book = rs.stringOpt("book"),
currency= rs.stringOpt("currency"),
pnl_status= rs.stringOpt("pnl_status"),
actual_pnl_local= rs.stringOpt("actual_pnl_local"),
actual_pnl_cde= rs.stringOpt("actual_pnl_cde"),
actual_pnl_local_me_adj= rs.stringOpt("actual_pnl_local_me_adj"),
actual_pnl_cde_me_adj= rs.stringOpt("actual_pnl_cde_me_adj")
)
).list().apply()


Firstly above is not of type BookLevelDaily. So how to iterate or group by to separate Pnl level data and map it to key (book).










share|improve this question


























    0















    I am using Scala 2.12 and have required libraries downloaded via build.sbt.



    I have my DB output in below format.
    enter image description here



    Basically, it is like per valuation date and book, there can be multiple currency data.



    I have group by on book (majorly), which will have list of Pnl data based on currency.



    Just the rough representation:



     Bookid: 1234,
    BookName: EQUITY,
    PnlBreakdown: [currency: cad, actual_pnl_local: 100, actual_pnl_cde: 100], [currency: usd, actual_pnl_local: 100, actual_pnl_cde: 130]



    Basically. Key will be book and value will be list of pnl data.



    I have a case class defined as below:



    case class PnlData(valuation_date: Option[String], currency: Option[String],pnl_status: Option[String],actual_pnl_local: Option[String] ,actual_pnl_cde: Option[String], actual_pnl_local_me_adj: Option[String] ,actual_pnl_cde_me_adj: Option[String] ) 
    override def toString():String=
    s"valuation_date=$valuation_date,currency=$currency,pnl_status=$pnl_status,actual_pnl_local=$actual_pnl_local,actual_pnl_cde=$actual_pnl_cde,actual_pnl_local_me_adj=$actual_pnl_local_me_adj,actual_pnl_cde_me_adj=$actual_pnl_cde_me_adj"



    case class BookLevelDaily(book_id: Option[String], book: Option[String], pnlBreakdown: List[SaPnlData])
    override def toString():String=
    s"book_id=$book_id,book=$book,pnl=$pnlBreakdown"




    Basically, my final object is of type BookLevelDaily.



    How do I translate the DB output (above) to my BookLevelDaily object?



    I can convert the entire result to the list, but further how should I do groupBy?



    val list: List[BookLevelDaily] =
    sql"""
    |SELECT QUERY TO GET ABOVE RESULTSET
    """.stripMargin.map(rs =>
    BookLevelDaily(
    valuation_date = rs.stringOpt("valuation_date"),
    book_id = rs.stringOpt("book_id"),
    book = rs.stringOpt("book"),
    currency= rs.stringOpt("currency"),
    pnl_status= rs.stringOpt("pnl_status"),
    actual_pnl_local= rs.stringOpt("actual_pnl_local"),
    actual_pnl_cde= rs.stringOpt("actual_pnl_cde"),
    actual_pnl_local_me_adj= rs.stringOpt("actual_pnl_local_me_adj"),
    actual_pnl_cde_me_adj= rs.stringOpt("actual_pnl_cde_me_adj")
    )
    ).list().apply()


    Firstly above is not of type BookLevelDaily. So how to iterate or group by to separate Pnl level data and map it to key (book).










    share|improve this question
























      0












      0








      0








      I am using Scala 2.12 and have required libraries downloaded via build.sbt.



      I have my DB output in below format.
      enter image description here



      Basically, it is like per valuation date and book, there can be multiple currency data.



      I have group by on book (majorly), which will have list of Pnl data based on currency.



      Just the rough representation:



       Bookid: 1234,
      BookName: EQUITY,
      PnlBreakdown: [currency: cad, actual_pnl_local: 100, actual_pnl_cde: 100], [currency: usd, actual_pnl_local: 100, actual_pnl_cde: 130]



      Basically. Key will be book and value will be list of pnl data.



      I have a case class defined as below:



      case class PnlData(valuation_date: Option[String], currency: Option[String],pnl_status: Option[String],actual_pnl_local: Option[String] ,actual_pnl_cde: Option[String], actual_pnl_local_me_adj: Option[String] ,actual_pnl_cde_me_adj: Option[String] ) 
      override def toString():String=
      s"valuation_date=$valuation_date,currency=$currency,pnl_status=$pnl_status,actual_pnl_local=$actual_pnl_local,actual_pnl_cde=$actual_pnl_cde,actual_pnl_local_me_adj=$actual_pnl_local_me_adj,actual_pnl_cde_me_adj=$actual_pnl_cde_me_adj"



      case class BookLevelDaily(book_id: Option[String], book: Option[String], pnlBreakdown: List[SaPnlData])
      override def toString():String=
      s"book_id=$book_id,book=$book,pnl=$pnlBreakdown"




      Basically, my final object is of type BookLevelDaily.



      How do I translate the DB output (above) to my BookLevelDaily object?



      I can convert the entire result to the list, but further how should I do groupBy?



      val list: List[BookLevelDaily] =
      sql"""
      |SELECT QUERY TO GET ABOVE RESULTSET
      """.stripMargin.map(rs =>
      BookLevelDaily(
      valuation_date = rs.stringOpt("valuation_date"),
      book_id = rs.stringOpt("book_id"),
      book = rs.stringOpt("book"),
      currency= rs.stringOpt("currency"),
      pnl_status= rs.stringOpt("pnl_status"),
      actual_pnl_local= rs.stringOpt("actual_pnl_local"),
      actual_pnl_cde= rs.stringOpt("actual_pnl_cde"),
      actual_pnl_local_me_adj= rs.stringOpt("actual_pnl_local_me_adj"),
      actual_pnl_cde_me_adj= rs.stringOpt("actual_pnl_cde_me_adj")
      )
      ).list().apply()


      Firstly above is not of type BookLevelDaily. So how to iterate or group by to separate Pnl level data and map it to key (book).










      share|improve this question














      I am using Scala 2.12 and have required libraries downloaded via build.sbt.



      I have my DB output in below format.
      enter image description here



      Basically, it is like per valuation date and book, there can be multiple currency data.



      I have group by on book (majorly), which will have list of Pnl data based on currency.



      Just the rough representation:



       Bookid: 1234,
      BookName: EQUITY,
      PnlBreakdown: [currency: cad, actual_pnl_local: 100, actual_pnl_cde: 100], [currency: usd, actual_pnl_local: 100, actual_pnl_cde: 130]



      Basically. Key will be book and value will be list of pnl data.



      I have a case class defined as below:



      case class PnlData(valuation_date: Option[String], currency: Option[String],pnl_status: Option[String],actual_pnl_local: Option[String] ,actual_pnl_cde: Option[String], actual_pnl_local_me_adj: Option[String] ,actual_pnl_cde_me_adj: Option[String] ) 
      override def toString():String=
      s"valuation_date=$valuation_date,currency=$currency,pnl_status=$pnl_status,actual_pnl_local=$actual_pnl_local,actual_pnl_cde=$actual_pnl_cde,actual_pnl_local_me_adj=$actual_pnl_local_me_adj,actual_pnl_cde_me_adj=$actual_pnl_cde_me_adj"



      case class BookLevelDaily(book_id: Option[String], book: Option[String], pnlBreakdown: List[SaPnlData])
      override def toString():String=
      s"book_id=$book_id,book=$book,pnl=$pnlBreakdown"




      Basically, my final object is of type BookLevelDaily.



      How do I translate the DB output (above) to my BookLevelDaily object?



      I can convert the entire result to the list, but further how should I do groupBy?



      val list: List[BookLevelDaily] =
      sql"""
      |SELECT QUERY TO GET ABOVE RESULTSET
      """.stripMargin.map(rs =>
      BookLevelDaily(
      valuation_date = rs.stringOpt("valuation_date"),
      book_id = rs.stringOpt("book_id"),
      book = rs.stringOpt("book"),
      currency= rs.stringOpt("currency"),
      pnl_status= rs.stringOpt("pnl_status"),
      actual_pnl_local= rs.stringOpt("actual_pnl_local"),
      actual_pnl_cde= rs.stringOpt("actual_pnl_cde"),
      actual_pnl_local_me_adj= rs.stringOpt("actual_pnl_local_me_adj"),
      actual_pnl_cde_me_adj= rs.stringOpt("actual_pnl_cde_me_adj")
      )
      ).list().apply()


      Firstly above is not of type BookLevelDaily. So how to iterate or group by to separate Pnl level data and map it to key (book).







      scala scalikejdbc






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 8 at 19:06









      MihirMihir

      4110




      4110






















          1 Answer
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          If I understand it correctly, it seems to be a one-to-many relationship (one: book_level_daily, many: pnl_breakdown). If so, check the following documentation.



          http://scalikejdbc.org/documentation/one-to-x.html






          share|improve this answer























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            1 Answer
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            active

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            0














            If I understand it correctly, it seems to be a one-to-many relationship (one: book_level_daily, many: pnl_breakdown). If so, check the following documentation.



            http://scalikejdbc.org/documentation/one-to-x.html






            share|improve this answer



























              0














              If I understand it correctly, it seems to be a one-to-many relationship (one: book_level_daily, many: pnl_breakdown). If so, check the following documentation.



              http://scalikejdbc.org/documentation/one-to-x.html






              share|improve this answer

























                0












                0








                0







                If I understand it correctly, it seems to be a one-to-many relationship (one: book_level_daily, many: pnl_breakdown). If so, check the following documentation.



                http://scalikejdbc.org/documentation/one-to-x.html






                share|improve this answer













                If I understand it correctly, it seems to be a one-to-many relationship (one: book_level_daily, many: pnl_breakdown). If so, check the following documentation.



                http://scalikejdbc.org/documentation/one-to-x.html







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 9 at 0:36









                Kazuhiro SeraKazuhiro Sera

                1,5941015




                1,5941015





























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