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object SparkUtils

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Type Members

  1. implicit class SparkOperations extends AnyRef

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def array_remove_empty(array: Column): Column
  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  7. def colFromArrayOrField(df: DataFrame, colName: String): Column
  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. def escapeInfoAndLowercase(df: DataFrame, excludes: String*): Seq[Column]
  11. def fileExist(path: String)(implicit spark: SparkSession): Boolean

    Check if the hadoop file exists

    Check if the hadoop file exists

    path

    Path to check. Accept some patterns

    spark

    session that contains hadoop config

  12. val filename: Column
  13. def firstAs(c: String, ignoreNulls: Boolean = false): Column
  14. final def getClass(): Class[_]
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  15. def getColumnOrElse(colName: String, default: Any = ""): Column
  16. def getColumnOrElseArray(colName: String, default: Any = ""): Column
  17. def hashCode(): Int
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  18. final def isInstanceOf[T0]: Boolean
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  19. def isNestedFieldExists(dfSchema: StructType, fieldName: String): Boolean
  20. def isNestedFieldExists(df: DataFrame, fieldName: String): Boolean
  21. final def ne(arg0: AnyRef): Boolean
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  22. final def notify(): Unit
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  23. final def notifyAll(): Unit
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  24. val removeEmptyObjectsIn: (String) ⇒ Column
  25. final def synchronized[T0](arg0: ⇒ T0): T0
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  26. def tableName(table: String, studyId: String, releaseId: String, database: String = "variant"): String
  27. def tableName(table: String, studyId: String, releaseId: String): String
  28. def toString(): String
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  29. def union(df1: DataFrame, df2: DataFrame)(implicit spark: SparkSession): DataFrame
  30. final def wait(arg0: Long, arg1: Int): Unit
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  31. final def wait(arg0: Long): Unit
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  32. final def wait(): Unit
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  1. def finalize(): Unit
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    Deprecated

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