Non-aggregate functions

[alfonsorr]

• def array(colName: String, colNames: String*): Column function array
• def array(cols: Column*): Columnfunction array
• def bitwiseNOT(e: Column): Column feat: [+] remaining non aggregate functions (resolves #68) #262
• def broadcast[T](df: Dataset[T]): Dataset[T] no needed because its not Column depentent
• def coalesce(e: Column*): Column
• def col(colName: String): Column use col[T](colName: String) or specializations colString colInt etc
• def column(colName: String): Column use the same as col
• def expr(expr: String): Column ❌ won't do, this could not be a doric function, as it needs a string with no datatype
• def greatest(columnName: String, columnNames: String*): Column ❌ won't do, "duplicated"
• def greatest(exprs: Column*): Column #68 Non-aggregate functions #113
• def input_file_name(): Column #68 Non-aggregate functions #113
• def isnan(e: Column): Column
• def isnull(e: Column): Column postfix isnull
• def least(columnName: String, columnNames: String*): Column ❌ won't do, "duplicated"
• def least(exprs: Column*): Column #68 Non-aggregate functions #113
• def lit(literal: Any): Column use lit[T](literal: T)
• def map(cols: Column*): Column
• def map_from_arrays(keys: Column, values: Column): Column
• def monotonically_increasing_id(): Column #68 Non-aggregate functions #113
• def nanvl(col1: Column, col2: Column): Column feat: [+] remaining non aggregate functions (resolves #68) #262
• def negate(e: Column): Column feat: [+] remaining non aggregate functions (resolves #68) #262
• def not(e: Column): Column #68 Non-aggregate functions #113
• def rand(): Column #68 Non-aggregate functions #113
• def rand(seed: Long): Column #68 Non-aggregate functions #113
• def randn(): Column #68 Non-aggregate functions #113
• def randn(seed: Long): Column #68 Non-aggregate functions #113
• def spark_partition_id(): Column #68 Non-aggregate functions #113
• def struct(colName: String, colNames: String*): Column ❌ won't do, not a doric function
• def struct(cols: Column*): Column Custom types #95
• def when(condition: Column, value: Any): Column method builder when
• def monotonicallyIncreasingId(): Column ❌ @deprecated("Use monotonically_increasing_id()", "2.0.0")