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Non-aggregate functions #68
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def array(colName: String, colNames: String*): Column
functionarray
def array(cols: Column*): Column
functionarray
def bitwiseNOT(e: Column): Column
feat: [+] remaining non aggregate functions (resolves #68) #262def broadcast[T](df: Dataset[T]): Dataset[T]
no needed because its notColumn
depententdef coalesce(e: Column*): Column
def col(colName: String): Column
usecol[T](colName: String)
or specializationscolString
colInt
etcdef column(colName: String): Column
use the same ascol
❌ won't do, this could not be a doric function, as it needs a string with no datatypedef expr(expr: String): Column
❌ won't do, "duplicated"def greatest(columnName: String, columnNames: String*): Column
def greatest(exprs: Column*): Column
#68 Non-aggregate functions #113def input_file_name(): Column
#68 Non-aggregate functions #113def isnan(e: Column): Column
def isnull(e: Column): Column
postfixisnull
❌ won't do, "duplicated"def least(columnName: String, columnNames: String*): Column
def least(exprs: Column*): Column
#68 Non-aggregate functions #113def lit(literal: Any): Column
uselit[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 #113def nanvl(col1: Column, col2: Column): Column
feat: [+] remaining non aggregate functions (resolves #68) #262def negate(e: Column): Column
feat: [+] remaining non aggregate functions (resolves #68) #262def not(e: Column): Column
#68 Non-aggregate functions #113def rand(): Column
#68 Non-aggregate functions #113def rand(seed: Long): Column
#68 Non-aggregate functions #113def randn(): Column
#68 Non-aggregate functions #113def randn(seed: Long): Column
#68 Non-aggregate functions #113def spark_partition_id(): Column
#68 Non-aggregate functions #113❌ won't do, not a doric functiondef struct(colName: String, colNames: String*): Column
def struct(cols: Column*): Column
Custom types #95def when(condition: Column, value: Any): Column
method builderwhen
❌ @deprecated("Use monotonically_increasing_id()", "2.0.0")def monotonicallyIncreasingId(): Column
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