Snowpark Scala API Reference1.19.1 < Back
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# Packages

-  package root
  Definition Classes
    root
-  package com
  Definition Classes
    root
-  package snowflake
  Definition Classes
    com
-  package snowpark
  Definition Classes
    snowflake
-  package types

  This package contains all Snowpark logical types.

  This package contains all Snowpark logical types.

  Definition Classes
    snowpark
  Since

    0.1.0

-  package udaf
  Definition Classes
    snowpark
-  package udtf
  Definition Classes
    snowpark
- AggregateFunction
- AsyncJob
- CaseExpr
- Column
- CopyableDataFrame
- CopyableDataFrameAsyncActor
- DataFrame
- DataFrameAsyncActor
- DataFrameNaFunctions
- DataFrameReader
- DataFrameStatFunctions
- DataFrameWriter
- DataFrameWriterAsyncActor
- DeleteResult
- FileOperation
- GetResult
- GroupingSets
- HasCachedResult
- MatchedClauseBuilder
- MergeBuilder
- MergeBuilderAsyncActor
- MergeResult
- MergeTypedAsyncJob
- NotMatchedClauseBuilder
- PublicPreview
- PutResult
- RelationalGroupedDataFrame
- Row
- SProcRegistration
- SaveMode
- Session
- SnowparkClientException
- StoredProcedure
- TableFunction
- TypedAsyncJob
- UDAFRegistration
- UDFRegistration
- UDTFRegistration
- Updatable
- UpdatableAsyncActor
- UpdateResult
- UserDefinedFunction
- Window
- WindowSpec
- WriteFileResult
- functions
- tableFunctions

o

com.snowflake.snowpark

# functions

###

#### object functions

Provides utility functions that generate Column expressions that you can pass to DataFrame transformation methods. These functions generate references to columns, literals, and SQL expressions (e.g. "c + 1").

This object also provides functions that correspond to Snowflake system-defined functions (built-in functions), including functions for aggregation and window functions.

The following examples demonstrate the use of some of these functions:

    // Use columns and literals in expressions.
    df.select(col("c") + lit(1))

    // Call system-defined (built-in) functions.
    // This example calls the function that corresponds to the ADD_MONTHS() SQL function.
    df.select(add_months(col("d"), lit(3)))

    // Call system-defined functions that have no corresponding function in the functions object.
    // This example calls the RADIANS() SQL function, passing in values from the column "e".
    df.select(callBuiltin("radians", col("e")))

    // Call a user-defined function (UDF) by name.
    df.select(callUDF("some_func", col("c")))

    // Register and call an anonymous UDF.
    val myudf = udf((x:Int) => x + x)
    df.select(myudf(col("c")))

    // Evaluate an SQL expression
    df.select(sqlExpr("c + 1"))

For functions that accept scala types, e.g. callUdf, callBuiltin, lit(), the mapping from scala types to Snowflake types is as follows:

    String => String
    Byte => TinyInt
    Int => Int
    Short => SmallInt
    Long => BigInt
    Float => Float
    Double => Double
    Decimal => Number
    Boolean => Boolean
    Array => Array
    Timestamp => Timestamp
    Date => Date

Since

  0.1.0

Linear Supertypes
AnyRef, Any

Ordering

1. Alphabetic
2. By Inheritance

Inherited

1. functions
2. AnyRef
3. Any

1. Hide All
2. Show All

Visibility

1. Public
2. Protected

### Type Members

1.  case class builtin(functionName: String) extends Product with Serializable

   Function object to invoke a Snowflake builtin.

   Function object to invoke a Snowflake builtin. Use this to invoke any builtins not explicitly listed in this object.

   Example

       val repeat = functions.builtin("repeat")
       df.select(repeat(col("col_1"), 3))

   Since

     0.1.0

### Value Members

1.  final def !=(arg0: Any): Boolean
   Definition Classes
     AnyRef → Any
2.  final def ##: Int
   Definition Classes
     AnyRef → Any
3.  final def ==(arg0: Any): Boolean
   Definition Classes
     AnyRef → Any
4.  def abs(e: Column): Column

   Returns the absolute value of a numeric expression.

   Returns the absolute value of a numeric expression.

   Since

     0.1.0

5.  def acos(e: Column): Column

   Computes the inverse cosine (arc cosine) of its input; the result is a number in the interval [-pi, pi].

   Computes the inverse cosine (arc cosine) of its input; the result is a number in the interval [-pi, pi].

   Since

     0.1.0

6.  def add_months(startDate: Column, numMonths: Column): Column

   Adds or subtracts a specified number of months to a date or timestamp, preserving the end-of-month information.

   Adds or subtracts a specified number of months to a date or timestamp, preserving the end-of-month information.

   Since

     0.1.0

7.  def any_value(e: Column): Column

   Returns a non-deterministic value for the specified column.

   Returns a non-deterministic value for the specified column.

   Since

     0.12.0

8.  def approx_count_distinct(e: Column): Column

   Uses HyperLogLog to return an approximation of the distinct cardinality of the input (i.e.

   Uses HyperLogLog to return an approximation of the distinct cardinality of the input (i.e. returns an approximation of `COUNT(DISTINCT col)`).

   Since

     0.1.0

9.  def approx_percentile(col: Column, percentile: Double): Column

   Returns an approximated value for the desired percentile.

   Returns an approximated value for the desired percentile. This function uses the t-Digest algorithm.

   Since

     0.2.0

10.  def approx_percentile_accumulate(col: Column): Column

    Returns the internal representation of the t-Digest state (as a JSON object) at the end of aggregation.

    Returns the internal representation of the t-Digest state (as a JSON object) at the end of aggregation. This function uses the t-Digest algorithm.

    Since

      0.2.0

11.  def approx_percentile_combine(state: Column): Column

    Combines (merges) percentile input states into a single output state.

    Combines (merges) percentile input states into a single output state.

    This allows scenarios where APPROX_PERCENTILE_ACCUMULATE is run over horizontal partitions of the same table, producing an algorithm state for each table partition. These states can later be combined using APPROX_PERCENTILE_COMBINE, producing the same output state as a single run of APPROX_PERCENTILE_ACCUMULATE over the entire table.

    Since

      0.2.0

12.  def approx_percentile_estimate(state: Column, percentile: Double): Column

    Returns the desired approximated percentile value for the specified t-Digest state.

    Returns the desired approximated percentile value for the specified t-Digest state. APPROX_PERCENTILE_ESTIMATE(APPROX_PERCENTILE_ACCUMULATE(.)) is equivalent to APPROX_PERCENTILE(.).

    Since

      0.2.0

13.  def array(c: Column*): Column

    Returns an ARRAY constructed from zero, one, or more inputs.

    Returns an ARRAY constructed from zero, one, or more inputs.

    Example:

          val df = session.createDataFrame(Seq((1, 2, 3), (4, 5, 6))).toDF("id")
          df.select(array(col("a"), col("b")).as("id")).show()

         --------
        |"ID"  |
        --------
        |[     |
        |  1,  |
        |  2   |
        |]     |
        |[     |
        |  4,  |
        |  5   |
        |]     |
        --------

    c

      Columns to build the array.

    returns

      The array.

    Since

      1.14.0

14.  def array_agg(col: Column): Column

    Returns the input values, pivoted into an ARRAY.

    Returns the input values, pivoted into an ARRAY. If the input is empty, an empty ARRAY is returned.

    Since

      0.2.0

15.  def array_append(array: Column, element: Column): Column

    Returns an ARRAY containing all elements from the source ARRAYas well as the new element.

    Returns an ARRAY containing all elements from the source ARRAYas well as the new element. The new element is located at end of the ARRAY.

    array

      The column containing the source ARRAY.

    element

      The column containing the element to be appended. The element may be of almost any data type. The data type does not need to match the data type(s) of the existing elements in the ARRAY.

    Since

      0.2.0

16.  def array_cat(array1: Column, array2: Column): Column

    Returns the concatenation of two ARRAYs.

    Returns the concatenation of two ARRAYs.

    array1

      Column containing the source ARRAY.

    array2

      Column containing the ARRAY to be appended to `array1` .

    Since

      0.2.0

17.  def array_compact(array: Column): Column

    Returns a compacted ARRAY with missing and null values removed, effectively converting sparse arrays into dense arrays.

    Returns a compacted ARRAY with missing and null values removed, effectively converting sparse arrays into dense arrays.

    Since

      0.2.0

18.  def array_construct(cols: Column*): Column

    Returns an ARRAY constructed from zero, one, or more inputs.

    Returns an ARRAY constructed from zero, one, or more inputs.

    cols

      Columns containing the values (or expressions that evaluate to values). The values do not all need to be of the same data type.

    Since

      0.2.0

19.  def array_construct_compact(cols: Column*): Column

    Returns an ARRAY constructed from zero, one, or more inputs; the constructed ARRAY omits any NULL input values.

    Returns an ARRAY constructed from zero, one, or more inputs; the constructed ARRAY omits any NULL input values.

    cols

      Columns containing the values (or expressions that evaluate to values). The values do not all need to be of the same data type.

    Since

      0.2.0

20.  def array_contains(variant: Column, array: Column): Column

    Returns `true` if the specified VARIANT is found in the specified ARRAY.

    Returns `true` if the specified VARIANT is found in the specified ARRAY.

    variant

      Column containing the VARIANT to find.

    array

      Column containing the ARRAY to search.

    Since

      0.2.0

21.  def array_flatten(array: Column): Column

    Flattens an array of arrays into a single array, removing only one level of nesting.

    Flattens an array of arrays into a single array, removing only one level of nesting.

    Examples

    Example 1: Flattens a two-level nested array into a single array of elements.

        val df = Seq(
          Array(Array(1, 2), Array(3, 4)),
          Array(Array(5, 6, 7), Array(8)),
          Array(Array.empty[Int], Array(9, 10)),
        ).toDF("a")

        df.select(array_flatten(col("a"))).show()
        --------------------------
        |"ARRAY_FLATTEN(""A"")"  |
        --------------------------
        |[                       |
        |  1,                    |
        |  2,                    |
        |  3,                    |
        |  4                     |
        |]                       |
        |[                       |
        |  5,                    |
        |  6,                    |
        |  7,                    |
        |  8                     |
        |]                       |
        |[                       |
        |  9,                    |
        |  10                    |
        |]                       |
        --------------------------

    Example 2: Flattens only one level of a three-level nested array.

        val df = Seq(
          Array(Array(Array(1, 2), Array(3)), Array(Array(4, 5)))
        ).toDF("a")

        df.select(array_flatten(col("a"))).show()
        --------------------------
        |"ARRAY_FLATTEN(""A"")"  |
        --------------------------
        |[                       |
        |  [                     |
        |    1,                  |
        |    2                   |
        |  ],                    |
        |  [                     |
        |    3                   |
        |  ],                    |
        |  [                     |
        |    4,                  |
        |    5                   |
        |  ]                     |
        |]                       |
        --------------------------

    array

      Column containing the array of arrays to flatten.

      - If any element of `array` is not an ARRAY, the function throws an error.
      - If `array` is NULL, the function returns NULL.
    returns

      A column containing the flattened array.

    Since

      1.17.0

22.  def array_insert(array: Column, pos: Column, element: Column): Column

    Returns an ARRAY containing all elements from the source ARRAY as well as the new element.

    Returns an ARRAY containing all elements from the source ARRAY as well as the new element.

    array

      Column containing the source ARRAY.

    pos

      Column containing a (zero-based) position in the source ARRAY. The new element is inserted at this position. The original element from this position (if any) and all subsequent elements (if any) are shifted by one position to the right in the resulting array (i.e. inserting at position 0 has the same effect as using array_prepend). A negative position is interpreted as an index from the back of the array (e.g. `-1` results in insertion before the last element in the array).

    element

      Column containing the element to be inserted. The new element is located at position `pos` . The relative order of the other elements from the source array is preserved.

    Since

      0.2.0

23.  def array_intersection(col1: Column, col2: Column): Column

    Returns an ARRAY that contains the matching elements in the two input ARRAYs.

    Returns an ARRAY that contains the matching elements in the two input ARRAYs.

    Since

      0.1.0

24.  def array_position(variant: Column, array: Column): Column

    Returns the index of the first occurrence of an element in an ARRAY.

    Returns the index of the first occurrence of an element in an ARRAY.

    variant

      Column containing the VARIANT value that you want to find. The function searches for the first occurrence of this value in the array.

    array

      Column containing the ARRAY to be searched.

    Since

      0.2.0

25.  def array_prepend(array: Column, element: Column): Column

    Returns an ARRAY containing the new element as well as all elements from the source ARRAY.

    Returns an ARRAY containing the new element as well as all elements from the source ARRAY. The new element is positioned at the beginning of the ARRAY.

    array

      Column containing the source ARRAY.

    element

      Column containing the element to be prepended.

    Since

      0.2.0

26.  def array_size(array: Column): Column

    Returns the size of the input ARRAY.

    Returns the size of the input ARRAY.

    If the specified column contains a VARIANT value that contains an ARRAY, the size of the ARRAY is returned; otherwise, NULL is returned if the value is not an ARRAY.

    Since

      0.2.0

27.  def array_slice(array: Column, from: Column, to: Column): Column

    Returns an ARRAY constructed from a specified subset of elements of the input ARRAY.

    Returns an ARRAY constructed from a specified subset of elements of the input ARRAY.

    array

      Column containing the source ARRAY.

    from

      Column containing a position in the source ARRAY. The position of the first element is `0` . Elements from positions less than this parameter are not included in the resulting ARRAY.

    to

      Column containing a position in the source ARRAY. Elements from positions equal to or greater than this parameter are not included in the resulting array.

    Since

      0.2.0

28.  def array_to_string(array: Column, separator: Column): Column

    Returns an input ARRAY converted to a string by casting all values to strings (using TO_VARCHAR) and concatenating them (using the string from the second argument to separate the elements).

    Returns an input ARRAY converted to a string by casting all values to strings (using TO_VARCHAR) and concatenating them (using the string from the second argument to separate the elements).

    array

      Column containing the ARRAY of elements to convert to a string.

    separator

      Column containing the string to put between each element (e.g. a space, comma, or other human-readable separator).

    Since

      0.2.0

29.  def arrays_overlap(a1: Column, a2: Column): Column

    Compares whether two arrays have at least one element in common.

    Compares whether two arrays have at least one element in common. Returns TRUE if there is at least one element in common; otherwise returns FALSE. The function is NULL-safe, meaning it treats NULLs as known values for comparing equality.

    Since

      0.1.0

30.  final def asInstanceOf[T0]: T0
    Definition Classes
      Any
31.  def as_array(variant: Column): Column

    Casts a VARIANT value to an array.

    Casts a VARIANT value to an array.

    Since

      0.2.0

32.  def as_binary(variant: Column): Column

    Casts a VARIANT value to a binary string.

    Casts a VARIANT value to a binary string.

    Since

      0.2.0

33.  def as_char(variant: Column): Column

    Casts a VARIANT value to a string.

    Casts a VARIANT value to a string. Does not convert values of other types into string.

    Since

      0.2.0

34.  def as_date(variant: Column): Column

    Casts a VARIANT value to a date.

    Casts a VARIANT value to a date. Does not convert from timestamps.

    Since

      0.2.0

35.  def as_decimal(variant: Column, precision: Int, scale: Int): Column

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision and scale.

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision and scale.

    Since

      0.2.0

36.  def as_decimal(variant: Column, precision: Int): Column

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision.

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision.

    Since

      0.2.0

37.  def as_decimal(variant: Column): Column

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values).

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values).

    Since

      0.2.0

38.  def as_double(variant: Column): Column

    Casts a VARIANT value to a floating-point value.

    Casts a VARIANT value to a floating-point value.

    Since

      0.2.0

39.  def as_integer(variant: Column): Column

    Casts a VARIANT value to an integer.

    Casts a VARIANT value to an integer. Does not match non-integer values.

    Since

      0.2.0

40.  def as_number(variant: Column, precision: Int, scale: Int): Column

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision and scale.

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision and scale.

    Since

      0.2.0

41.  def as_number(variant: Column, precision: Int): Column

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision.

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision.

    Since

      0.2.0

42.  def as_number(variant: Column): Column

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values).

    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values).

    Since

      0.2.0

43.  def as_object(variant: Column): Column

    Casts a VARIANT value to an object.

    Casts a VARIANT value to an object.

    Since

      0.2.0

44.  def as_real(variant: Column): Column

    Casts a VARIANT value to a floating-point value.

    Casts a VARIANT value to a floating-point value.

    Since

      0.2.0

45.  def as_time(variant: Column): Column

    Casts a VARIANT value to a time value.

    Casts a VARIANT value to a time value. Does not convert from timestamps.

    Since

      0.2.0

46.  def as_timestamp_ltz(variant: Column): Column

    Casts a VARIANT value to a TIMESTAMP value with local timezone.

    Casts a VARIANT value to a TIMESTAMP value with local timezone.

    Since

      0.2.0

47.  def as_timestamp_ntz(variant: Column): Column

    Casts a VARIANT value to a TIMESTAMP value with no timezone.

    Casts a VARIANT value to a TIMESTAMP value with no timezone.

    Since

      0.2.0

48.  def as_timestamp_tz(variant: Column): Column

    Casts a VARIANT value to a TIMESTAMP value with timezone.

    Casts a VARIANT value to a TIMESTAMP value with timezone.

    Since

      0.2.0

49.  def as_varchar(variant: Column): Column

    Casts a VARIANT value to a string.

    Casts a VARIANT value to a string. Does not convert values of other types into string.

    Since

      0.2.0

50.  def asc(colName: String): Column

    Returns a Column expression with values sorted in ascending order.

    Returns a Column expression with values sorted in ascending order. Example:

          val df = session.createDataFrame(Seq(3, 2, 1)).toDF("id")
          df.sort(asc("id")).show()

        --------
        |"ID"  |
        --------
        |1     |
        |2     |
        |3     |
        --------

    colName

      Column name.

    returns

      Column object ordered in an ascending manner.

    Since

      1.14.0

51.  def ascii(e: Column): Column

    Returns the ASCII code for the first character of a string.

    Returns the ASCII code for the first character of a string. If the string is empty, a value of 0 is returned.

    Since

      0.1.0

52.  def asin(e: Column): Column

    Computes the inverse sine (arc sine) of its argument; the result is a number in the interval [-pi, pi].

    Computes the inverse sine (arc sine) of its argument; the result is a number in the interval [-pi, pi].

    Since

      0.1.0

53.  def atan(e: Column): Column

    Computes the inverse tangent (arc tangent) of its argument; the result is a number in the interval [-pi, pi].

    Computes the inverse tangent (arc tangent) of its argument; the result is a number in the interval [-pi, pi].

    Since

      0.1.0

54.  def atan2(y: Column, x: Column): Column

    Computes the inverse tangent (arc tangent) of the ratio of its two arguments.

    Computes the inverse tangent (arc tangent) of the ratio of its two arguments.

    Since

      0.1.0

55.  def avg(e: Column): Column

    Returns the average of non-NULL records.

    Returns the average of non-NULL records. If all records inside a group are NULL, the function returns NULL.

    Since

      0.1.0

56.  def base64(col: Column): Column

    Computes the BASE64 encoding of a column and returns it as a string column.

    Computes the BASE64 encoding of a column and returns it as a string column. This is the reverse of unbase64. Example

         val df = session.createDataFrame(Seq("test")).toDF("a")
         df.select(base64(col("a")).as("base64")).show()
        ------------
        |"BASE64"  |
        ------------
        |dGVzdA==  |
        ------------

    returns

      base64 encoded value of the given input column.

    Since

      1.14.0

57.  def bitnot(e: Column): Column

    Returns the bitwise negation of a numeric expression.

    Returns the bitwise negation of a numeric expression.

    Since

      0.1.0

58.  def bitshiftleft(e: Column, numBits: Column): Column

    Shifts the bits for a numeric expression numBits positions to the left.

    Shifts the bits for a numeric expression numBits positions to the left.

    Since

      0.1.0

59.  def bitshiftright(e: Column, numBits: Column): Column

    Shifts the bits for a numeric expression numBits positions to the right.

    Shifts the bits for a numeric expression numBits positions to the right.

    Since

      0.1.0

60.  def callBuiltin(functionName: String, args: Any*): Column

    Invokes a built-in snowflake function with the specified name and arguments.

    Invokes a built-in snowflake function with the specified name and arguments. Arguments can be of two types

    1. Column, or

    b. Basic types such as Int, Long, Double, Decimal etc. which are converted to Snowpark literals.

    Since

      0.1.0

61.  def callUDF(udfName: String, cols: Any*): Column

    Calls a user-defined function (UDF) by name.

    Calls a user-defined function (UDF) by name.

    Since

      0.1.0

62.  def ceil(e: Column): Column

    Returns values from the specified column rounded to the nearest equal or larger integer.

    Returns values from the specified column rounded to the nearest equal or larger integer.

    Since

      0.1.0

63.  def char(col: Column): Column

    Converts a Unicode code point (including 7-bit ASCII) into the character that matches the input Unicode.

    Converts a Unicode code point (including 7-bit ASCII) into the character that matches the input Unicode.

    Since

      0.1.0

64.  def charindex(targetExpr: Column, sourceExpr: Column, position: Column): Column

    Searches for targetExpr in sourceExpr and, if successful, returns the position (1-based) of the targetExpr in sourceExpr.

    Searches for targetExpr in sourceExpr and, if successful, returns the position (1-based) of the targetExpr in sourceExpr.

    Since

      0.1.0

65.  def charindex(targetExpr: Column, sourceExpr: Column): Column

    Searches for targetExpr in sourceExpr and, if successful, returns the position (1-based) of the targetExpr in sourceExpr.

    Searches for targetExpr in sourceExpr and, if successful, returns the position (1-based) of the targetExpr in sourceExpr.

    Since

      0.1.0

66.  def check_json(col: Column): Column

    Checks the validity of a JSON document.

    Checks the validity of a JSON document. If the input string is a valid JSON document or a NULL (i.e. no error would occur when parsing the input string), the function returns NULL. In case of a JSON parsing error, the function returns a string that contains the error message.

    Since

      0.2.0

67.  def check_xml(col: Column): Column

    Checks the validity of an XML document.

    Checks the validity of an XML document. If the input string is a valid XML document or a NULL (i.e. no error would occur when parsing the input string), the function returns NULL. In case of an XML parsing error, the output string contains the error message.

    Since

      0.2.0

68.  def clone(): AnyRef
    Attributes
      protected[lang]
    Definition Classes
      AnyRef
    Annotations
      @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
69.  def coalesce(e: Column*): Column

    Returns the first non-NULL expression among its arguments, or NULL if all its arguments are NULL.

    Returns the first non-NULL expression among its arguments, or NULL if all its arguments are NULL.

    Since

      0.1.0

70.  def col(df: DataFrame): Column

    Generate a Column representing the result of the input DataFrame.

    Generate a Column representing the result of the input DataFrame. The parameter `df` should have one column and must produce one row. Is an alias of toScalar.

    For Example:

        import functions._
        val df1 = session.sql("select * from values(1,1,1),(2,2,3) as T(c1,c2,c3)")
        val df2 = session.sql("select * from values(2) as T(a)")
        df1.select(Column("c1"), col(df2)).show()
        df1.filter(Column("c1") < col(df2)).show()

    Since

      0.2.0

71.  def col(colName: String): Column

    Returns the Column with the specified name.

    Returns the Column with the specified name.

    Since

      0.1.0

72.  def collate(expr: Column, collationSpec: String): Column

    Returns a copy of expr, but with the specified collationSpec property instead of the original collation specification property.

    Returns a copy of expr, but with the specified collationSpec property instead of the original collation specification property.

    Collation Specification is specified here

    Since

      0.1.0

73.  def collation(expr: Column): Column

    Returns the collation specification of expr.

    Returns the collation specification of expr.

    Since

      0.1.0

74.  def collect_list(s: String): Column

    Returns the input values, pivoted into an ARRAY.

    Returns the input values, pivoted into an ARRAY. If the input is empty, an empty ARRAY is returned.

    Example::

        >>> df = session.create_dataframe([[1], [2], [3], [1]], schema=["a"])
        >>> df.select(array_agg("a", True).alias("result")).show()
        ------------
        |"RESULT"  |
        ------------
        |[         |
        |  1,      |
        |  2,      |
        |  3       |
        |]         |
        ------------

    s

      Column name to be collected.

    returns

      The array.

    Since

      1.14.0

75.  def collect_list(c: Column): Column

    Returns the input values, pivoted into an ARRAY.

    Returns the input values, pivoted into an ARRAY. If the input is empty, an empty ARRAY is returned. <pr> Example::

        >>> df = session.create_dataframe([[1], [2], [3], [1]], schema=["a"])
        >>> df.select(array_agg("a", True).alias("result")).show()
        ------------
        |"RESULT"  |
        ------------
        |[         |
        |  1,      |
        |  2,      |
        |  3       |
        |]         |
        ------------

    </pr>

    c

      Column to be collect.

    returns

      The array.

    Since

      1.14.0

76.  def collect_set(e: String): Column

    Aggregate function: returns a set of objects with duplicate elements eliminated.

    Aggregate function: returns a set of objects with duplicate elements eliminated. Returns the input values, pivoted into an ARRAY. If the input is empty, an empty ARRAY is returned.

    Example::

        >>> df = session.create_dataframe([[1], [2], [3], [1]], schema=["a"])
        >>> df.select(array_agg("a", True).alias("result")).show()
        ------------
        |"RESULT"  |
        ------------
        |[         |
        |  1,      |
        |  2,      |
        |  3       |
        |]         |
        ------------

    e

      The column to collect the list values

    returns

      A list with unique values

    Since

      1.15.0

77.  def collect_set(e: Column): Column

    Aggregate function: returns a set of objects with duplicate elements eliminated.

    Aggregate function: returns a set of objects with duplicate elements eliminated. Returns the input values, pivoted into an ARRAY. If the input is empty, an empty ARRAY is returned.

    Example::

        >>> df = session.create_dataframe([[1], [2], [3], [1]], schema=["a"])
        >>> df.select(array_agg("a", True).alias("result")).show()
        ------------
        |"RESULT"  |
        ------------
        |[         |
        |  1,      |
        |  2,      |
        |  3       |
        |]         |
        ------------

    e

      The column to collect the list values

    returns

      A list with unique values

    Since

      1.15.0

78.  def column(colName: String): Column

    Returns a Column with the specified name.

    Returns a Column with the specified name. Alias for col.

    Since

      0.1.0

79.  def concat(exprs: Column*): Column

    Concatenates one or more strings, or concatenates one or more binary values.

    Concatenates one or more strings, or concatenates one or more binary values. If any of the values is null, the result is also null.

    Since

      0.1.0

80.  def concat_ws(separator: Column, exprs: Column*): Column

    Concatenates two or more strings, or concatenates two or more binary values.

    Concatenates two or more strings, or concatenates two or more binary values. If any of the values is null, the result is also null.

    Since

      0.1.0

81.  def concat_ws_ignore_nulls(separator: String, exprs: Column*): Column

    Concatenates two or more strings ignoring any null values.

    Concatenates two or more strings ignoring any null values.

    Unlike concat_ws, this function automatically filters out null values before concatenation.

    Examples

        val df = session.createDataFrame(
          Seq(
            Row("Hello", "World", null),
            Row(null, null, null),
            Row("Hello", null, null),
          ),
          StructType(
            StructField("A", StringType),
            StructField("B", StringType),
            StructField("C", StringType),
          )
        )

        df.select(
          concat_ws_ignore_nulls(" | ", col("A"), col("B"), col("C")).as("concat_ws_ignore_nulls")
        ).show()
        ----------------------------
        |"CONCAT_WS_IGNORE_NULLS"  |
        ----------------------------
        |Hello | World             |
        |                          |
        |Hello                     |
        ----------------------------

    separator

      A string literal used as the separator between concatenated values.

    exprs

      The columns to be concatenated.

    returns

      A Column containing the concatenated values with null values filtered out.

    Since

      1.17.0

82.  def contains(col: Column, str: Column): Column

    Returns true if col contains str.

    Returns true if col contains str.

    Since

      0.1.0

83.  def convert_timezone(targetTimeZone: Column, sourceTimestamp: Column): Column

    Converts the given sourceTimestampNTZ to targetTimeZone.

    Converts the given sourceTimestampNTZ to targetTimeZone.

    Supported time zones are listed here

    Example

        timestamp.select(convert_timezone(lit("America/New_York"), col("time")))

    Since

      0.1.0

84.  def convert_timezone(sourceTimeZone: Column, targetTimeZone: Column, sourceTimestampNTZ: Column): Column

    Converts the given sourceTimestampNTZ from sourceTimeZone to targetTimeZone.

    Converts the given sourceTimestampNTZ from sourceTimeZone to targetTimeZone.

    Supported time zones are listed here

    Example

        timestampNTZ.select(convert_timezone(lit("America/Los_Angeles"), lit("America/New_York"), col("time")))

    Since

      0.1.0

85.  def corr(column1: Column, column2: Column): Column

    Returns the correlation coefficient for non-null pairs in a group.

    Returns the correlation coefficient for non-null pairs in a group.

    Since

      0.1.0

86.  def cos(e: Column): Column

    Computes the cosine of its argument; the argument should be expressed in radians.

    Computes the cosine of its argument; the argument should be expressed in radians.

    Since

      0.1.0

87.  def cosh(e: Column): Column

    Computes the hyperbolic cosine of its argument.

    Computes the hyperbolic cosine of its argument.

    Since

      0.1.0

88.  def count(e: Column): Column

    Returns either the number of non-NULL records for the specified columns, or the total number of records.

    Returns either the number of non-NULL records for the specified columns, or the total number of records.

    Since

      0.1.0

89.  def countDistinct(expr: Column, exprs: Column*): Column

    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records.

    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records. An alias of count_distinct.

    Since

      1.13.0

90.  def countDistinct(colName: String, colNames: String*): Column

    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records.

    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records. An alias of count_distinct.

    Since

      1.13.0

91.  def count_distinct(expr: Column, exprs: Column*): Column

    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records.

    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records.

    Since

      0.1.0

92.  def covar_pop(column1: Column, column2: Column): Column

    Returns the population covariance for non-null pairs in a group.

    Returns the population covariance for non-null pairs in a group.

    Since

      0.1.0

93.  def covar_samp(column1: Column, column2: Column): Column

    Returns the sample covariance for non-null pairs in a group.

    Returns the sample covariance for non-null pairs in a group.

    Since

      0.1.0

94.  def cume_dist(): Column

    Finds the cumulative distribution of a value with regard to other values within the same window partition.

    Finds the cumulative distribution of a value with regard to other values within the same window partition.

    Since

      0.1.0

95.  def current_account(): Column

    Returns the account used by the user's current session.

    Returns the account used by the user's current session.

    Since

      0.1.0

96.  def current_available_roles(): Column

    Returns a JSON string that lists all roles granted to the current user.

    Returns a JSON string that lists all roles granted to the current user.

    Since

      0.1.0

97.  def current_database(): Column

    Returns the name of the database in use for the current session.

    Returns the name of the database in use for the current session.

    Since

      0.1.0

98.  def current_date(): Column

    Returns the current date of the system.

    Returns the current date of the system.

    Since

      0.1.0

99.  def current_region(): Column

    Returns the name of the region for the account where the current user is logged in.

    Returns the name of the region for the account where the current user is logged in.

    Since

      0.1.0

100.  def current_role(): Column

     Returns the name of the role in use for the current session.

     Returns the name of the role in use for the current session.

     Since

       0.1.0

101.  def current_schema(): Column

     Returns the name of the schema in use by the current session.

     Returns the name of the schema in use by the current session.

     Since

       0.1.0

102.  def current_schemas(): Column

     Returns active search path schemas.

     Returns active search path schemas.

     Since

       0.1.0

103.  def current_session(): Column

     Returns a unique system identifier for the Snowflake session corresponding to the present connection.

     Returns a unique system identifier for the Snowflake session corresponding to the present connection.

     Since

       0.1.0

104.  def current_statement(): Column

     Returns the SQL text of the statement that is currently executing.

     Returns the SQL text of the statement that is currently executing.

     Since

       0.1.0

105.  def current_time(): Column

     Returns the current time for the system.

     Returns the current time for the system.

     Since

       0.1.0

106.  def current_timestamp(): Column

     Returns the current timestamp for the system.

     Returns the current timestamp for the system.

     Since

       0.1.0

107.  def current_user(): Column

     Returns the name of the user currently logged into the system.

     Returns the name of the user currently logged into the system.

     Since

       0.1.0

108.  def current_version(): Column

     Returns the current Snowflake version.

     Returns the current Snowflake version.

     Since

       0.1.0

109.  def current_warehouse(): Column

     Returns the name of the warehouse in use for the current session.

     Returns the name of the warehouse in use for the current session.

     Since

       0.1.0

110.  def date_add(start: Column, days: Column): Column

     Returns the date that is `days` days after `start`.

     Returns the date that is `days` days after `start`. Usage:

         DATE_ADD( date_or_time_part, value, date_or_time_expr )

     Example::

         SELECT TO_DATE('2013-05-08') AS v1, DATE_ADD(year, 2, TO_DATE('2013-05-08')) AS v;
         +------------+------------+
         | V1         | V          |
         |------------+------------|
         | 2013-05-08 | 2015-05-08 |
         +------------+------------+

     start

       A date, timestamp or string. If a string, the data must be in a format that can be cast to a date, such as `yyyy-MM-dd` or `yyyy-MM-dd HH:mm:ss.SSSS`

     days

       The number of days to add to `start`, can be negative to subtract days

     returns

       A date, or null if `start` was a string that could not be cast to a date

     Since

       1.15.0

111.  def date_add(days: Int, start: Column): Column

     Returns the date that is `days` days after `start`.

     Returns the date that is `days` days after `start`. Usage -

         DATE_ADD( date_or_time_part, value, date_or_time_expr )

     Example::

         SELECT TO_DATE('2013-05-08') AS v1, DATE_ADD(year, 2, TO_DATE('2013-05-08')) AS v;
         +------------+------------+
         | V1         | V          |
         |------------+------------|
         | 2013-05-08 | 2015-05-08 |
         +------------+------------+

     days

       Int .

     start

       Column name

     returns

       Column.

     Since

       1.15.0

112.  def date_format(c: Column, s: String): Column

     Converts an input expression into the corresponding date in the specified date format.

     Converts an input expression into the corresponding date in the specified date format. Example:

          val df = Seq("2023-10-10", "2022-05-15", null.asInstanceOf[String]).toDF("date")
          df.select(date_format(col("date"), "YYYY/MM/DD").as("formatted_date")).show()

         --------------------
         |"FORMATTED_DATE"  |
         --------------------
         |2023/10/10        |
         |2022/05/15        |
         |NULL              |
         --------------------

     c

       Column to format to date.

     s

       Date format.

     returns

       Column object.

     Since

       1.14.0

113.  def date_from_parts(year: Column, month: Column, day: Column): Column

     Creates a date from individual numeric components that represent the year, month, and day of the month.

     Creates a date from individual numeric components that represent the year, month, and day of the month.

     Since

       0.1.0

114.  def date_trunc(format: String, timestamp: Column): Column

     Truncates a DATE, TIME, or TIMESTAMP to the specified precision.

     Truncates a DATE, TIME, or TIMESTAMP to the specified precision.

     Since

       0.1.0

115.  def dateadd(part: String, value: Column, expr: Column): Column

     Adds the specified value for the specified date or time art to date or time expr.

     Adds the specified value for the specified date or time art to date or time expr.

     Supported date and time parts are listed here

     Example: add one year on dates

         date.select(dateadd("year", lit(1), col("date_col")))

     Since

       0.1.0

116.  def datediff(part: String, col1: Column, col2: Column): Column

     Calculates the difference between two date, time, or timestamp columns based on the date or time part requested.

     Calculates the difference between two date, time, or timestamp columns based on the date or time part requested.

     Supported date and time parts are listed here

     Example: year difference between two date columns

         date.select(datediff("year", col("date_col1"), col("date_col2"))),

     Since

       0.1.0

117.  def dayname(expr: Column): Column

     Extracts the three-letter day-of-week name from the specified date or timestamp.

     Extracts the three-letter day-of-week name from the specified date or timestamp.

     Since

       0.1.0

118.  def dayofmonth(e: Column): Column

     Extracts the day of month from a date or timestamp.

     Extracts the day of month from a date or timestamp.

     Since

       0.1.0

119.  def dayofweek(e: Column): Column

     Extracts the day of week from a date or timestamp.

     Extracts the day of week from a date or timestamp.

     Since

       0.1.0

120.  def dayofyear(e: Column): Column

     Extracts the day of year from a date or timestamp.

     Extracts the day of year from a date or timestamp.

     Since

       0.1.0

121.  def degrees(e: Column): Column

     Converts radians to degrees.

     Converts radians to degrees.

     Since

       0.1.0

122.  def dense_rank(): Column

     Returns the rank of a value within a group of values, without gaps in the ranks.

     Returns the rank of a value within a group of values, without gaps in the ranks. The rank value starts at 1 and continues up sequentially. If two values are the same, they will have the same rank.

     Since

       0.1.0

123.  def desc(colName: String): Column
124.  def div0(dividend: Column, divisor: Column): Column

     Performs division like the division operator (/), but returns 0 when the divisor is 0 (rather than reporting an error).

     Performs division like the division operator (/), but returns 0 when the divisor is 0 (rather than reporting an error).

     Since

       0.1.0

125.  def endswith(expr: Column, str: Column): Column

     Returns TRUE if expr ends with str.

     Returns TRUE if expr ends with str.

     Since

       0.1.0

126.  final def eq(arg0: AnyRef): Boolean
     Definition Classes
       AnyRef
127.  def equal_nan(e: Column): Column

     Return true if the value in the column is not a number (NaN).

     Return true if the value in the column is not a number (NaN).

     Since

       0.1.0

128.  def equals(arg0: AnyRef): Boolean
     Definition Classes
       AnyRef → Any
129.  def exp(e: Column): Column

     Computes Euler's number e raised to a floating-point value.

     Computes Euler's number e raised to a floating-point value.

     Since

       0.1.0

130.  def expr(s: String): Column

     Creates a Column expression from raw SQL text.

     Creates a Column expression from raw SQL text.

     Note that the function does not interpret or check the SQL text.

     Example:

          val df = session.createDataFrame(Seq(Array(1, 2, 3))).toDF("id")
          df.filter(expr("id > 2")).show()

         --------
         |"ID"  |
         --------
         |3     |
         --------

     s

       SQL Expression as text.

     returns

       Converted SQL Expression.

     Since

       1.14.0

131.  def factorial(e: Column): Column

     Computes the factorial of its input.

     Computes the factorial of its input. The input argument must be an integer expression in the range of 0 to 33.

     Since

       0.1.0

132.  def floor(e: Column): Column

     Returns values from the specified column rounded to the nearest equal or smaller integer.

     Returns values from the specified column rounded to the nearest equal or smaller integer.

     Since

       0.1.0

133.  def format_number(x: Column, d: Int): Column

     Formats numeric column x to a format like '#,###,###.##', rounded to d decimal places with HALF_EVEN round mode, and returns the result as a string column.

     Formats numeric column x to a format like '#,###,###.##', rounded to d decimal places with HALF_EVEN round mode, and returns the result as a string column.

     x

       numeric column to be transformed

     d

       Amount of decimal for the number format

     returns

       Number casted to the specific string format

     Since

       1.15.0 If d is 0, the result has no decimal point or fractional part. If d is less than 0, the result will be null.

134.  def from_unixtime(ut: Column, f: String): Column

     Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC) to a string representing the timestamp of that moment in the current system time zone in the given format.

     Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC) to a string representing the timestamp of that moment in the current system time zone in the given format.

     ut

       A number of a type that is castable to a long, such as string or integer. Can be negative for timestamps before the unix epoch

     f

       A date time pattern that the input will be formatted to

     returns

       A string, or null if `ut` was a string that could not be cast to a long or `f` was an invalid date time pattern

     Since

       1.15.0

135.  def from_unixtime(ut: Column): Column

     Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC) to a string representing the timestamp of that moment in the current system time zone in the yyyy-MM-dd HH:mm:ss format.

     Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC) to a string representing the timestamp of that moment in the current system time zone in the yyyy-MM-dd HH:mm:ss format.

     ut

       A number of a type that is castable to a long, such as string or integer. Can be negative for timestamps before the unix epoch

     returns

       A string, or null if the input was a string that could not be cast to a long

     Since

       1.15.0

136.  def from_utc_timestamp(ts: Column): Column

     Given a timestamp like '2017-07-14 02:40:00.0', interprets it as a time in UTC, and renders that time as a timestamp in the given time zone.

     Given a timestamp like '2017-07-14 02:40:00.0', interprets it as a time in UTC, and renders that time as a timestamp in the given time zone. For example, 'GMT+1' would yield '2017-07-14 03:40:00.0'.

         ALTER SESSION SET TIMEZONE = 'America/Los_Angeles';
         SELECT TO_TIMESTAMP_TZ('2024-04-05 01:02:03');
         +----------------------------------------+
         | TO_TIMESTAMP_TZ('2024-04-05 01:02:03') |
         |----------------------------------------|
         | 2024-04-05 01:02:03.000 -0700          |
         +----------------------------------------+

     ts

       A date, timestamp or string. If a string, the data must be in a format that can be cast to a timestamp, such as `yyyy-MM-dd` or `yyyy-MM-dd HH:mm:ss.SSSS` A string detailing the time zone ID that the input should be adjusted to. It should be in the format of either region-based zone IDs or zone offsets. Region IDs must have the form 'area/city', such as 'America/Los_Angeles'. Zone offsets must be in the format '(+|-)HH:mm', for example '-08:00' or '+01:00'. Also 'UTC' and 'Z' are supported as aliases of '+00:00'. Other short names are not recommended to use because they can be ambiguous.

     returns

       A timestamp, or null if `ts` was a string that could not be cast to a timestamp or `tz` was an invalid value

     Since

       1.15.0

137.  def get(col1: Column, col2: Column): Column

     Extracts a value from an object or array; returns NULL if either of the arguments is NULL.

     Extracts a value from an object or array; returns NULL if either of the arguments is NULL.

     Since

       0.2.0

138.  final def getClass(): Class[_ <: AnyRef]
     Definition Classes
       AnyRef → Any
     Annotations
       @HotSpotIntrinsicCandidate() @native()
139.  def get_ignore_case(obj: Column, field: Column): Column

     Extracts a field value from an object; returns NULL if either of the arguments is NULL.

     Extracts a field value from an object; returns NULL if either of the arguments is NULL. This function is similar to GET but applies case-insensitive matching to field names.

     Since

       0.2.0

140.  def get_path(col: Column, path: Column): Column

     Extracts a value from semi-structured data using a path name.

     Extracts a value from semi-structured data using a path name.

     Since

       0.2.0

141.  def greatest(exprs: Column*): Column

     Returns the largest value from a list of expressions.

     Returns the largest value from a list of expressions. If any of the argument values is NULL, the result is NULL. GREATEST supports all data types, including VARIANT.

     Since

       0.1.0

142.  def grouping(e: Column): Column

     Describes which of a list of expressions are grouped in a row produced by a GROUP BY query.

     Describes which of a list of expressions are grouped in a row produced by a GROUP BY query.

     Since

       0.1.0

143.  def grouping_id(cols: Column*): Column

     Describes which of a list of expressions are grouped in a row produced by a GROUP BY query.

     Describes which of a list of expressions are grouped in a row produced by a GROUP BY query.

     Since

       0.1.0

144.  def hash(cols: Column*): Column

     Returns a signed 64-bit hash value.

     Returns a signed 64-bit hash value. Note that HASH never returns NULL, even for NULL inputs.

     Since

       0.1.0

145.  def hashCode(): Int
     Definition Classes
       AnyRef → Any
     Annotations
       @HotSpotIntrinsicCandidate() @native()
146.  def hex(c: Column): Column

     Computes hex value of the given column.

     Computes hex value of the given column. Example

           val df = session.createDataFrame(Seq((1), (2), (3))).toDF("a")
           df.withColumn("hex_col", hex(col("A"))).select("hex_col").show()
         -------------
         |"HEX_COL"  |
         -------------
         |31         |
         |32         |
         |33         |
         -------------

     c

       Column to encode.

     returns

       Encoded string.

     Since

       1.14.0

147.  def hour(e: Column): Column

     Extracts the hour from a date or timestamp.

     Extracts the hour from a date or timestamp.

     Since

       0.1.0

148.  def iff(condition: Column, expr1: Column, expr2: Column): Column

     Returns one of two specified expressions, depending on a condition.

     Returns one of two specified expressions, depending on a condition.

     This is equivalent to an `if-then-else` expression. If `condition` evaluates to TRUE, the function returns `expr1`. Otherwise, the function returns `expr2`.

     condition

       The condition to evaluate.

     expr1

       The expression to return if the condition evaluates to TRUE.

     expr2

       The expression to return if the condition is not TRUE (i.e. if it is FALSE or NULL).

     Since

       0.9.0

149.  def in(columns: Seq[Column], df: DataFrame): Column

     Returns a conditional expression that you can pass to the filter or where method to perform the equivalent of a WHERE ...

     Returns a conditional expression that you can pass to the filter or where method to perform the equivalent of a WHERE ... IN query with the subquery represented by the specified DataFrame.

     The expression evaluates to true if the value in the column is one of the values in the column of the same name in a specified DataFrame.

     For example, the following code returns a DataFrame that contains the rows where the values of the columns `c1` and `c2` in `df2` match the values of the columns `a` and `b` in `df1`. This is equivalent to SELECT * FROM table2 WHERE (c1, c2) IN (SELECT a, b FROM table1).

         val df1 = session.sql("select a, b from table1").
         val df2 = session.table(table2)
         val dfFilter = df2.filter(functions.in(Seq(col("c1"), col("c2")), df1))

     columns

       A sequence of the columns to compare for the IN operation.

     df

       The DataFrame used as the values for the IN operation

     Since

       0.10.0

150.  def in(columns: Seq[Column], values: Seq[Seq[Any]]): Column

     Returns a conditional expression that you can pass to the filter or where method to perform the equivalent of a WHERE ...

     Returns a conditional expression that you can pass to the filter or where method to perform the equivalent of a WHERE ... IN query that matches rows containing a sequence of values.

     The expression evaluates to true if the values in a row matches the values in one of the specified sequences.

     For example, the following code returns a DataFrame that contains the rows in which the columns `c1` and `c2` contain the values:

     - `1` and `"a"`, or
     - `2` and `"b"` This is equivalent to `SELECT * FROM table WHERE (c1, c2) IN ((1, 'a'), (2, 'b'))`.

         val df2 = df.filter(functions.in(Seq(df("c1"), df("c2")), Seq(Seq(1, "a"), Seq(2, "b"))))

     columns

       A sequence of the columns to compare for the IN operation.

     values

       A sequence containing the sequences of values to compare for the IN operation.

     Since

       0.10.0

151.  def initcap(e: Column): Column

     Returns the input string with the first letter of each word in uppercase and the subsequent letters in lowercase.

     Returns the input string with the first letter of each word in uppercase and the subsequent letters in lowercase.

     Since

       0.1.0

152.  def insert(baseExpr: Column, position: Column, length: Column, insertExpr: Column): Column

     Replaces a substring of the specified length, starting at the specified position, with a new string or binary value.

     Replaces a substring of the specified length, starting at the specified position, with a new string or binary value.

     Since

       0.1.0

153.  def instr(str: Column, substring: String): Column

     Locate the position of the first occurrence of substr column in the given string.

     Locate the position of the first occurrence of substr column in the given string. Returns null if either of the arguments are null. For example

         SELECT id,
                string1,
                 REGEXP_SUBSTR(string1, 'nevermore\\d') AS substring,
                REGEXP_INSTR( string1, 'nevermore\\d') AS position
            FROM demo1
            ORDER BY id;
         +----+-------------------------------------+------------+----------+
          | ID | STRING1                             | SUBSTRING  | POSITION |
          |----+-------------------------------------+------------+----------|
          |  1 | nevermore1, nevermore2, nevermore3. | nevermore1 |        1 |
          +----+-------------------------------------+------------+----------+

     Since

       1.15.0

     Note

       The position is not zero based, but 1 based index. Returns 0 if substr could not be found in str.

154.  final def isInstanceOf[T0]: Boolean
     Definition Classes
       Any
155.  def is_array(col: Column): Column

     Returns true if the specified VARIANT column contains an ARRAY value.

     Returns true if the specified VARIANT column contains an ARRAY value.

     Since

       0.1.0

156.  def is_binary(col: Column): Column

     Returns true if the specified VARIANT column contains a binary value.

     Returns true if the specified VARIANT column contains a binary value.

     Since

       0.1.0

157.  def is_boolean(col: Column): Column

     Returns true if the specified VARIANT column contains a Boolean value.

     Returns true if the specified VARIANT column contains a Boolean value.

     Since

       0.1.0

158.  def is_char(col: Column): Column

     Returns true if the specified VARIANT column contains a string value.

     Returns true if the specified VARIANT column contains a string value.

     Since

       0.1.0

159.  def is_date(col: Column): Column

     Returns true if the specified VARIANT column contains a DATE value.

     Returns true if the specified VARIANT column contains a DATE value.

     Since

       0.1.0

160.  def is_date_value(col: Column): Column

     Returns true if the specified VARIANT column contains a DATE value.

     Returns true if the specified VARIANT column contains a DATE value.

     Since

       0.1.0

161.  def is_decimal(col: Column): Column

     Returns true if the specified VARIANT column contains a fixed-point decimal value or integer.

     Returns true if the specified VARIANT column contains a fixed-point decimal value or integer.

     Since

       0.1.0

162.  def is_double(col: Column): Column

     Returns true if the specified VARIANT column contains a floating-point value, fixed-point decimal, or integer.

     Returns true if the specified VARIANT column contains a floating-point value, fixed-point decimal, or integer.

     Since

       0.1.0

163.  def is_integer(col: Column): Column

     Returns true if the specified VARIANT column contains an integer value.

     Returns true if the specified VARIANT column contains an integer value.

     Since

       0.1.0

164.  def is_null(e: Column): Column

     Return true if the value in the column is null.

     Return true if the value in the column is null.

     Since

       0.1.0

165.  def is_null_value(col: Column): Column

     Returns true if the specified VARIANT column is a JSON null value.

     Returns true if the specified VARIANT column is a JSON null value.

     Since

       0.1.0

166.  def is_object(col: Column): Column

     Returns true if the specified VARIANT column contains an OBJECT value.

     Returns true if the specified VARIANT column contains an OBJECT value.

     Since

       0.1.0

167.  def is_real(col: Column): Column

     Returns true if the specified VARIANT column contains a floating-point value, fixed-point decimal, or integer.

     Returns true if the specified VARIANT column contains a floating-point value, fixed-point decimal, or integer.

     Since

       0.1.0

168.  def is_time(col: Column): Column

     Returns true if the specified VARIANT column contains a TIME value.

     Returns true if the specified VARIANT column contains a TIME value.

     Since

       0.1.0

169.  def is_timestamp_ltz(col: Column): Column

     Returns true if the specified VARIANT column contains a TIMESTAMP value to be interpreted using the local time zone.

     Returns true if the specified VARIANT column contains a TIMESTAMP value to be interpreted using the local time zone.

     Since

       0.1.0

170.  def is_timestamp_ntz(col: Column): Column

     Returns true if the specified VARIANT column contains a TIMESTAMP value with no time zone.

     Returns true if the specified VARIANT column contains a TIMESTAMP value with no time zone.

     Since

       0.1.0

171.  def is_timestamp_tz(col: Column): Column

     Returns true if the specified VARIANT column contains a TIMESTAMP value with a time zone.

     Returns true if the specified VARIANT column contains a TIMESTAMP value with a time zone.

     Since

       0.1.0

172.  def is_varchar(col: Column): Column

     Returns true if the specified VARIANT column contains a string value.

     Returns true if the specified VARIANT column contains a string value.

     Since

       0.1.0

173.  def isnull(c: Column): Column

     Wrapper for Snowflake built-in isnull function.

     Wrapper for Snowflake built-in isnull function. Gets a boolean depending if value is NULL or not. Return true if the value in the column is null. Example:: >>> from snowflake.snowpark.functions import is_null >>> df = session.create_dataframe([1.2, float("nan"), None, 1.0], schema=["a"]) >>> df.select(is_null("a").as_("a")).collect() [Row(A=False), Row(A=False), Row(A=True), Row(A=False)]

     c

       Column to qnalize if it is null value.

     returns

       Column object.

     Since

       1.14.0

174.  def json_extract_path_text(col: Column, path: Column): Column

     Parses a JSON string and returns the value of an element at a specified path in the resulting JSON document.

     Parses a JSON string and returns the value of an element at a specified path in the resulting JSON document.

     col

       Column containing the JSON string that should be parsed.

     path

       Column containing the path to the element that should be extracted.

     Since

       0.2.0

175.  def kurtosis(e: Column): Column

     Returns the population excess kurtosis of non-NULL records.

     Returns the population excess kurtosis of non-NULL records. If all records inside a group are NULL, the function returns NULL.

     Since

       0.1.0

176.  def lag(e: Column): Column

     Accesses data in a previous row in the same result set without having to join the table to itself.

     Accesses data in a previous row in the same result set without having to join the table to itself.

     Since

       0.1.0

177.  def lag(e: Column, offset: Int): Column

     Accesses data in a previous row in the same result set without having to join the table to itself.

     Accesses data in a previous row in the same result set without having to join the table to itself.

     Since

       0.1.0

178.  def lag(e: Column, offset: Int, defaultValue: Column): Column

     Accesses data in a previous row in the same result set without having to join the table to itself.

     Accesses data in a previous row in the same result set without having to join the table to itself.

     Since

       0.1.0

179.  def last(c: Column): Column

     Returns the last value of the column in a group.

     Returns the last value of the column in a group. Example

          val df = session.createDataFrame(Seq((5, "a", 10),
                                               (5, "b", 20),
                                               (3, "d", 15),
                                               (3, "e", 40))).toDF("grade", "name", "score")
             val window = Window.partitionBy(col("grade")).orderBy(col("score").desc)
             df.select(last(col("name")).over(window)).show()

         ---------------------
         |"LAST_SCORE_NAME"  |
         ---------------------
         |a                  |
         |a                  |
         |d                  |
         |d                  |
         ---------------------

     c

       Column to obtain last value.

     returns

       Column object.

     Since

       1.14.0

180.  def last_day(e: Column): Column

     Returns the last day of the specified date part for a date or timestamp.

     Returns the last day of the specified date part for a date or timestamp. Commonly used to return the last day of the month for a date or timestamp.

     Since

       0.1.0

181.  def lead(e: Column): Column

     Accesses data in a subsequent row in the same result set without having to join the table to itself.

     Accesses data in a subsequent row in the same result set without having to join the table to itself.

     Since

       0.1.0

182.  def lead(e: Column, offset: Int): Column

     Accesses data in a subsequent row in the same result set without having to join the table to itself.

     Accesses data in a subsequent row in the same result set without having to join the table to itself.

     Since

       0.1.0

183.  def lead(e: Column, offset: Int, defaultValue: Column): Column

     Accesses data in a subsequent row in the same result set without having to join the table to itself.

     Accesses data in a subsequent row in the same result set without having to join the table to itself.

     Since

       0.1.0

184.  def least(exprs: Column*): Column

     Returns the smallest value from a list of expressions.

     Returns the smallest value from a list of expressions. LEAST supports all data types, including VARIANT.

     Since

       0.1.0

185.  def left(strExpr: Column, lengthExpr: Column): Column

     Returns a left most substring of strExpr.

     Returns a left most substring of strExpr.

     Since

       0.1.0

186.  def length(e: Column): Column

     Returns the length of an input string or binary value.

     Returns the length of an input string or binary value. For strings, the length is the number of characters, and UTF-8 characters are counted as a single character. For binary, the length is the number of bytes.

     Since

       0.1.0

187.  def listagg(col: Column): Column

     Returns the concatenated input values, separated by empty string.

     Returns the concatenated input values, separated by empty string.

     For example:

         df.groupBy(df.col("col1")).agg(listagg(df.col("col2"), ",")
             .withinGroup(df.col("col2").asc))

         df.select(listagg(df.col("col2"), ",", false))

     col

       The expression (typically a Column) that determines the values to be put into the list. The expression should evaluate to a string, or to a data type that can be cast to string.

     Since

       0.12.0

188.  def listagg(col: Column, delimiter: String): Column

     Returns the concatenated input values, separated by `delimiter` string.

     Returns the concatenated input values, separated by `delimiter` string.

     For example:

         df.groupBy(df.col("col1")).agg(listagg(df.col("col2"), ",")
             .withinGroup(df.col("col2").asc))

         df.select(listagg(df.col("col2"), ",", false))

     col

       The expression (typically a Column) that determines the values to be put into the list. The expression should evaluate to a string, or to a data type that can be cast to string.

     delimiter

       A string delimiter.

     Since

       0.12.0

189.  def listagg(col: Column, delimiter: String, isDistinct: Boolean): Column

     Returns the concatenated input values, separated by `delimiter` string.

     Returns the concatenated input values, separated by `delimiter` string.

     For example:

         df.groupBy(df.col("col1")).agg(listagg(df.col("col2"), ",")
             .withinGroup(df.col("col2").asc))

         df.select(listagg(df.col("col2"), ",", false))

     col

       The expression (typically a Column) that determines the values to be put into the list. The expression should evaluate to a string, or to a data type that can be cast to string.

     delimiter

       A string delimiter.

     isDistinct

       Whether the input expression is distinct.

     Since

       0.12.0

190.  def lit(literal: Any): Column

     Creates a Column expression for a literal value.

     Creates a Column expression for a literal value.

     Since

       0.1.0

191.  def locate(substr: String, str: Column, pos: Int = 1): Column

     Locate the position of the first occurrence of substr in a string column, after position pos.

     Locate the position of the first occurrence of substr in a string column, after position pos.

     substr

       string to search

     str

       value where string will be searched

     pos

       index for starting the search. default to 1.

     returns

       Returns the position of the first occurrence

     Since

       1.14.0

     Note

       The position is not zero based, but 1 based index. returns 0 if substr could not be found in str. This function is just leverages the SF POSITION builtin Example

            val df = session.createDataFrame(Seq("java scala python")).toDF("a")
            df.select(locate("scala", col("a")).as("locate")).show()
           ------------
           |"LOCATE"  |
           ------------
           |6         |
           ------------

192.  def locate(substr: Column, str: Column, pos: Int): Column

     Locate the position of the first occurrence of substr in a string column, after position pos.

     Locate the position of the first occurrence of substr in a string column, after position pos.

     substr

       string to search

     str

       value where string will be searched

     pos

       index for starting the search

     returns

       returns the position of the first occurrence.

     Since

       1.14.0

     Note

       The position is not zero based, but 1 based index. returns 0 if substr could not be found in str. This function is just leverages the SF POSITION builtin Example

            val df = session.createDataFrame(Seq(("b", "abcd"))).toDF("a", "b")
            df.select(locate(col("a"), col("b"), 1).as("locate")).show()
           ------------
           |"LOCATE"  |
           ------------
           |2         |
           ------------

193.  def log(base: Column, a: Column): Column

     Returns the logarithm of a numeric expression.

     Returns the logarithm of a numeric expression.

     Since

       0.1.0

194.  def log10(columnName: String): Column

     Computes the logarithm of the given column in base 10.

     Computes the logarithm of the given column in base 10. Example

          val df = session.createDataFrame(Seq(100)).toDF("a")
          df.select(log10("a"))).show()
         -----------
         |"LOG10"  |
         -----------
         |2.0      |
         -----------

     columnName

       ColumnName in String to apply logarithm operation

     returns

       log10 of the given column

     Since

       1.14.0

195.  def log10(c: Column): Column

     Computes the logarithm of the given value in base 10.

     Computes the logarithm of the given value in base 10. Example

          val df = session.createDataFrame(Seq(100)).toDF("a")
          df.select(log10(col("a"))).show()

         -----------
         |"LOG10"  |
         -----------
         |2.0      |
         -----------

     c

       Column to apply logarithm operation

     returns

       log10 of the given column

     Since

       1.14.0

196.  def log1p(columnName: String): Column

     Computes the natural logarithm of the given value plus one.

     Computes the natural logarithm of the given value plus one. Example

          val df = session.createDataFrame(Seq(0.1)).toDF("a")
          df.select(log1p("a").as("log1p")).show()
         -----------------------
         |"LOG1P"              |
         -----------------------
         |0.09531017980432493  |
         -----------------------

     columnName

       ColumnName in String to apply logarithm operation

     returns

       the natural logarithm of the given value plus one.

     Since

       1.14.0

197.  def log1p(c: Column): Column

     Computes the natural logarithm of the given value plus one.

     Computes the natural logarithm of the given value plus one. Example

          val df = session.createDataFrame(Seq(0.1)).toDF("a")
          df.select(log1p(col("a")).as("log1p")).show()
         -----------------------
         |"LOG1P"              |
         -----------------------
         |0.09531017980432493  |
         -----------------------

     c

       Column to apply logarithm operation

     returns

       the natural logarithm of the given value plus one.

     Since

       1.14.0

198.  def lower(e: Column): Column

     Returns the input string with all characters converted to lowercase.

     Returns the input string with all characters converted to lowercase.

     Since

       0.1.0

199.  def lpad(str: Column, len: Int, pad: Array[Byte]): Column

     Left-pads a binary value with bytes from another binary value.

     Left-pads a binary value with bytes from another binary value.

     Examples:

         val df = Seq(Array[Byte](0x41, 0x42)).toDF("a")
         df.select(lpad(col("a"), 5, Array[Byte](0x00))).show()

         ------------------------------------
         |"LPAD(""A"", 5, '00' :: BINARY)"  |
         ------------------------------------
         |'0000004142'                      |
         ------------------------------------

     str

       The binary column to pad.

     len

       The target length of the resulting binary value (in bytes).

     pad

       The byte array to use for padding.

     returns

       A new column containing the left-padded binary value.

     Since

       1.17.0

200.  def lpad(str: Column, len: Int, pad: String): Column

     Left-pads a string with characters from another string.

     Left-pads a string with characters from another string.

     Examples:

         val df = Seq("hello", "world").toDF("a")
         df.select(lpad(col("a"), 10, "*")).show()

         --------------------------
         |"LPAD(""A"", 10, '*')"  |
         --------------------------
         |*****hello              |
         |*****world              |
         --------------------------

     str

       The string column to pad.

     len

       The target length of the resulting string value (in characters).

     pad

       The string literal to use for padding.

     returns

       A new column containing the left-padded string.

     Since

       1.17.0

201.  def lpad(str: Column, len: Column, pad: Column): Column

     Left-pads a string with characters from another string, or left-pads a binary value with bytes from another binary value.

     Left-pads a string with characters from another string, or left-pads a binary value with bytes from another binary value.

     Since

       0.1.0

202.  def ltrim(e: Column): Column

     Removes leading characters, including whitespace, from a string.

     Removes leading characters, including whitespace, from a string.

     Since

       0.1.0

203.  def ltrim(e: Column, trimString: Column): Column

     Removes leading characters, including whitespace, from a string.

     Removes leading characters, including whitespace, from a string.

     Since

       0.1.0

204.  def max(e: Column): Column

     Returns the maximum value for the records in a group.

     Returns the maximum value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.

     Since

       0.1.0

205.  def max(colName: String): Column

     Returns the maximum value for the records in a group.

     Returns the maximum value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.

     Example:

         val df = session.createDataFrame(Seq(1, 3, 10, 1, 3)).toDF("x")
         df.select(max("x")).show()

         ----------------
         |"MAX(""X"")"  |
         ----------------
         |10            |
         ----------------

     colName

       The name of the column

     returns

       The maximum value of the given column

     Since

       1.13.0

206.  def md5(e: Column): Column

     Returns a 32-character hex-encoded string containing the 128-bit MD5 message digest.

     Returns a 32-character hex-encoded string containing the 128-bit MD5 message digest.

     Since

       0.1.0

207.  def mean(e: Column): Column

     Returns the average of non-NULL records.

     Returns the average of non-NULL records. If all records inside a group are NULL, the function returns NULL. Alias of avg

     Since

       0.1.0

208.  def mean(colName: String): Column

     Returns the average of non-NULL records.

     Returns the average of non-NULL records. If all records inside a group are NULL, the function returns NULL. Alias of avg.

     Example:

         val df = session.createDataFrame(Seq(1, 3, 10, 1, 3)).toDF("x")
         df.select(mean("x")).show()

         ----------------
         |"AVG(""X"")"  |
         ----------------
         |3.600000      |
         ----------------

     colName

       The name of the column

     returns

       The average value of the given column

     Since

       1.13.0

209.  def median(e: Column): Column

     Returns the median value for the records in a group.

     Returns the median value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.

     Since

       0.5.0

210.  def min(e: Column): Column

     Returns the minimum value for the records in a group.

     Returns the minimum value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.

     Since

       0.1.0

211.  def min(colName: String): Column

     Returns the minimum value for the records in a group.

     Returns the minimum value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.

     Example:

         val df = session.createDataFrame(Seq(1, 3, 10, 1, 3)).toDF("x")
         df.select(min("x")).show()

         ----------------
         |"MIN(""X"")"  |
         ----------------
         |1             |
         ----------------

     colName

       The name of the column

     returns

       The minimum value of the given column

     Since

       1.13.0

212.  def minute(e: Column): Column

     Extracts the minute from a date or timestamp.

     Extracts the minute from a date or timestamp.

     Since

       0.1.0

213.  def monotonically_increasing_id(): Column

     A column expression that generates monotonically increasing 64-bit integers.

     A column expression that generates monotonically increasing 64-bit integers. Returns a sequence of monotonically increasing integers, with wrap-around which happens after largest representable integer of integer width 8 byte.

     Args: sign: When 0, the sequence continues at 0 after wrap-around. When 1, the sequence continues at smallest representable 8 byte integer. Defaults to 0.

     See Also:

     - :meth:`Session.generator`, which can be used to generate in tandem with `seq8` to generate sequences.

     Example:: >>> df = session.generator(seq8(0), rowcount=3) >>> df.collect() [Row(SEQ8(0)=0), Row(SEQ8(0)=1), Row(SEQ8(0)=2)]

     Since

       1.15.0

214.  def month(e: Column): Column

     Extracts the month from a date or timestamp.

     Extracts the month from a date or timestamp.

     Since

       0.1.0

215.  def monthname(expr: Column): Column

     Extracts the three-letter month name from the specified date or timestamp.

     Extracts the three-letter month name from the specified date or timestamp.

     Since

       0.1.0

216.  def months_between(end: String, start: String): Column

     Returns number of months between dates `start` and `end`.

     Returns number of months between dates `start` and `end`.

     A whole number is returned if both inputs have the same day of month or both are the last day of their respective months. Otherwise, the difference is calculated assuming 31 days per month.

     For example:

         months_between("2017-11-14", "2017-07-14")  // returns 4.0
         months_between("2017-01-01", "2017-01-10")  // returns 0.29032258
         months_between("2017-06-01", "2017-06-16 12:00:00")  // returns -0.5

     end

       Column name. If a string, the data must be in a format that can be cast to a timestamp, such as yyyy-MM-dd or yyyy-MM-dd HH:mm:ss.SSSS

     start

       Column name . If a string, the data must be in a format that can cast to a timestamp, such as yyyy-MM-dd or yyyy-MM-dd HH:mm:ss.SSSS

     returns

       A double, or null if either end or start were strings that could not be cast to a timestamp. Negative if end is before start

     Since

       1.15.0

217.  final def ne(arg0: AnyRef): Boolean
     Definition Classes
       AnyRef
218.  def negate(e: Column): Column

     Returns the negation of the value in the column (equivalent to a unary minus).

     Returns the negation of the value in the column (equivalent to a unary minus).

     Since

       0.1.0

219.  def next_day(date: Column, dayOfWeek: Column): Column

     Returns the date of the first specified DOW (day of week) that occurs after the input date.

     Returns the date of the first specified DOW (day of week) that occurs after the input date.

     Since

       0.1.0

220.  def not(e: Column): Column

     Returns the inverse of a boolean expression.

     Returns the inverse of a boolean expression.

     Since

       0.1.0

221.  final def notify(): Unit
     Definition Classes
       AnyRef
     Annotations
       @HotSpotIntrinsicCandidate() @native()
222.  final def notifyAll(): Unit
     Definition Classes
       AnyRef
     Annotations
       @HotSpotIntrinsicCandidate() @native()
223.  def ntile(n: Int): Column

     Window function: returns the ntile group id (from 1 to `n` inclusive) in an ordered window partition.

     Window function: returns the ntile group id (from 1 to `n` inclusive) in an ordered window partition. For example, if `n` is 4, the first quarter of the rows will get value 1, the second quarter will get 2, the third quarter will get 3, and the last quarter will get 4.

     This is equivalent to the NTILE function in SQL. Example

           val df = Seq((5, 15), (5, 15), (5, 15), (5, 20)).toDF("grade", "score")
           val window = Window.partitionBy(col("grade")).orderBy(col("score"))
           df.select(ntile(2).over(window).as("ntile")).show()
         -----------
         |"NTILE"  |
         -----------
         |1        |
         |1        |
         |2        |
         |2        |
         -----------

     n

       number of groups

     returns

       returns the ntile group id (from 1 to n inclusive) in an ordered window partition.

     Since

       1.14.0

224.  def ntile(n: Column): Column

     Divides an ordered data set equally into the number of buckets specified by n.

     Divides an ordered data set equally into the number of buckets specified by n. Buckets are sequentially numbered 1 through n.

     Since

       0.1.0

225.  def object_construct(key_values: Column*): Column

     Returns an OBJECT constructed from the arguments.

     Returns an OBJECT constructed from the arguments.

     Since

       0.2.0

226.  def object_delete(obj: Column, key1: Column, keys: Column*): Column

     Returns an object containing the contents of the input (i.e.source) object with one or more keys removed.

     Returns an object containing the contents of the input (i.e.source) object with one or more keys removed.

     Since

       0.2.0

227.  def object_insert(obj: Column, key: Column, value: Column, update_flag: Column): Column

     Returns an object consisting of the input object with a new key-value pair inserted (or an existing key updated with a new value).

     Returns an object consisting of the input object with a new key-value pair inserted (or an existing key updated with a new value).

     Since

       0.2.0

228.  def object_insert(obj: Column, key: Column, value: Column): Column

     Returns an object consisting of the input object with a new key-value pair inserted.

     Returns an object consisting of the input object with a new key-value pair inserted. The input key must not exist in the object.

     Since

       0.2.0

229.  def object_keys(obj: Column): Column

     Returns an array containing the list of keys in the input object.

     Returns an array containing the list of keys in the input object.

     Since

       0.2.0

230.  def object_pick(obj: Column, key1: Column, keys: Column*): Column

     Returns a new OBJECT containing some of the key-value pairs from an existing object.

     Returns a new OBJECT containing some of the key-value pairs from an existing object.

     To identify the key-value pairs to include in the new object, pass in the keys as arguments, or pass in an array containing the keys.

     If a specified key is not present in the input object, the key is ignored.

     Since

       0.2.0

231.  def objectagg(key: Column, value: Column): Column

     Returns one OBJECT per group.

     Returns one OBJECT per group. For each (key, value) input pair, where key must be a VARCHAR and value must be a VARIANT, the resulting OBJECT contains a key:value field.

     Since

       0.2.0

232.  def parse_json(col: Column): Column

     Parse the value of the specified column as a JSON string and returns the resulting JSON document.

     Parse the value of the specified column as a JSON string and returns the resulting JSON document.

     Since

       0.2.0

233.  def parse_xml(col: Column): Column

     Parse the value of the specified column as a JSON string and returns the resulting XML document.

     Parse the value of the specified column as a JSON string and returns the resulting XML document.

     Since

       0.2.0

234.  def percent_rank(): Column

     Returns the relative rank of a value within a group of values, specified as a percentage ranging from 0.0 to 1.0.

     Returns the relative rank of a value within a group of values, specified as a percentage ranging from 0.0 to 1.0.

     Since

       0.1.0

235.  def pow(l: Double, r: String): Column

     Returns a number (l) raised to the specified power (r).

     Returns a number (l) raised to the specified power (r).

     Example:

         val df = session.sql("select * from (values (0.5), (2), (2.5), (4)) as T(exponent)")
         df.select(lit(2.0).as("base"), col("exponent"), pow(2.0, "exponent").as("result")).show()

         --------------------------------------------
         |"BASE"  |"EXPONENT"  |"RESULT"            |
         --------------------------------------------
         |2.0     |0.5         |1.4142135623730951  |
         |2.0     |2.0         |4.0                 |
         |2.0     |2.5         |5.656854249492381   |
         |2.0     |4.0         |16.0                |
         --------------------------------------------

     l

       The value of the base.

     r

       The name of the numeric column representing the exponent.

     returns

       A column containing the result of raising `l` to the power of `r`.

     Since

       1.15.0

236.  def pow(l: Double, r: Column): Column

     Returns a number (l) raised to the specified power (r).

     Returns a number (l) raised to the specified power (r).

     Example:

         val df = session.sql("select * from (values (0.5), (2), (2.5), (4)) as T(exponent)")
         df.select(lit(2.0).as("base"), col("exponent"), pow(2.0, col("exponent")).as("result"))
           .show()

         --------------------------------------------
         |"BASE"  |"EXPONENT"  |"RESULT"            |
         --------------------------------------------
         |2.0     |0.5         |1.4142135623730951  |
         |2.0     |2.0         |4.0                 |
         |2.0     |2.5         |5.656854249492381   |
         |2.0     |4.0         |16.0                |
         --------------------------------------------

     l

       The value of the base.

     r

       The numeric column representing the exponent.

     returns

       A column containing the result of raising `l` to the power of `r`.

     Since

       1.15.0

237.  def pow(l: String, r: Double): Column

     Returns a number (l) raised to the specified power (r).

     Returns a number (l) raised to the specified power (r).

     Example:

         val df = session.sql("select * from (values (0.5), (2), (2.5), (4)) as T(base)")
         df.select(col("base"), lit(2.0).as("exponent"), pow("base", 2.0).as("result")).show()

         ----------------------------------
         |"BASE"  |"EXPONENT"  |"RESULT"  |
         ----------------------------------
         |0.5     |2.0         |0.25      |
         |2.0     |2.0         |4.0       |
         |2.5     |2.0         |6.25      |
         |4.0     |2.0         |16.0      |
         ----------------------------------

     l

       The name of the numeric column representing the base.

     r

       The value of the exponent.

     returns

       A column containing the result of raising `l` to the power of `r`.

     Since

       1.15.0

238.  def pow(l: Column, r: Double): Column

     Returns a number (l) raised to the specified power (r).

     Returns a number (l) raised to the specified power (r).

     Example:

         val df = session.sql("select * from (values (0.5), (2), (2.5), (4)) as T(base)")
         df.select(col("base"), lit(2.0).as("exponent"), pow(col("base"), 2.0).as("result")).show()

         ----------------------------------
         |"BASE"  |"EXPONENT"  |"RESULT"  |
         ----------------------------------
         |0.5     |2.0         |0.25      |
         |2.0     |2.0         |4.0       |
         |2.5     |2.0         |6.25      |
         |4.0     |2.0         |16.0      |
         ----------------------------------

     l

       The numeric column representing the base.

     r

       The value of the exponent.

     returns

       A column containing the result of raising `l` to the power of `r`.

     Since

       1.15.0

239.  def pow(l: String, r: String): Column

     Returns a number (l) raised to the specified power (r).

     Returns a number (l) raised to the specified power (r).

     Example:

         val df = session.sql(
           "select * from (values (0.1, 2), (2, 3), (2, 0.5), (2, -1)) as T(base, exponent)")
         df.select(col("base"), col("exponent"), pow("base", "exponent").as("result")).show()

         ----------------------------------------------
         |"BASE"  |"EXPONENT"  |"RESULT"              |
         ----------------------------------------------
         |0.1     |2.0         |0.010000000000000002  |
         |2.0     |3.0         |8.0                   |
         |2.0     |0.5         |1.4142135623730951    |
         |2.0     |-1.0        |0.5                   |
         ----------------------------------------------

     l

       The name of the numeric column representing the base.

     r

       The name of the numeric column representing the exponent.

     returns

       A column containing the result of raising `l` to the power of `r`.

     Since

       1.15.0

240.  def pow(l: String, r: Column): Column

     Returns a number (l) raised to the specified power (r).

     Returns a number (l) raised to the specified power (r).

     Example:

         val df = session.sql(
           "select * from (values (0.1, 2), (2, 3), (2, 0.5), (2, -1)) as T(base, exponent)")
         df.select(col("base"), col("exponent"), pow("base", col("exponent")).as("result")).show()

         ----------------------------------------------
         |"BASE"  |"EXPONENT"  |"RESULT"              |
         ----------------------------------------------
         |0.1     |2.0         |0.010000000000000002  |
         |2.0     |3.0         |8.0                   |
         |2.0     |0.5         |1.4142135623730951    |
         |2.0     |-1.0        |0.5                   |
         ----------------------------------------------

     l

       The name of the numeric column representing the base.

     r

       The numeric column representing the exponent.

     returns

       A column containing the result of raising `l` to the power of `r`.

     Since

       1.15.0

241.  def pow(l: Column, r: String): Column

     Returns a number (l) raised to the specified power (r).

     Returns a number (l) raised to the specified power (r).

     Example:

         val df = session.sql(
           "select * from (values (0.1, 2), (2, 3), (2, 0.5), (2, -1)) as T(base, exponent)")
         df.select(col("base"), col("exponent"), pow(col("base"), "exponent").as("result")).show()

         ----------------------------------------------
         |"BASE"  |"EXPONENT"  |"RESULT"              |
         ----------------------------------------------
         |0.1     |2.0         |0.010000000000000002  |
         |2.0     |3.0         |8.0                   |
         |2.0     |0.5         |1.4142135623730951    |
         |2.0     |-1.0        |0.5                   |
         ----------------------------------------------

     l

       The numeric column representing the base.

     r

       The name of the numeric column representing the exponent.

     returns

       A column containing the result of raising `l` to the power of `r`.

     Since

       1.15.0

242.  def pow(l: Column, r: Column): Column

     Returns a number (l) raised to the specified power (r).

     Returns a number (l) raised to the specified power (r).

     Since

       0.1.0

243.  def previous_day(date: Column, dayOfWeek: Column): Column

     Returns the date of the first specified DOW (day of week) that occurs before the input date.

     Returns the date of the first specified DOW (day of week) that occurs before the input date.

     Since

       0.1.0

244.  def quarter(e: Column): Column

     Extracts the quarter from a date or timestamp.

     Extracts the quarter from a date or timestamp.

     Since

       0.1.0

245.  def radians(e: Column): Column

     Converts degrees to radians.

     Converts degrees to radians.

     Since

       0.1.0

246.  def randn(seed: Long): Column

     Generate a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution.

     Generate a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution. Calls to the Snowflake RANDOM function. NOTE: Snowflake returns integers of 17-19 digits. Example

           val df = session.createDataFrame(Seq((1), (2), (3))).toDF("a")
           df.withColumn("randn_with_seed", randn(123L)).select("randn_with_seed").show()
         ------------------------
         |"RANDN_WITH_SEED"     |
         ------------------------
         |5777523539921853504   |
         |-8190739547906189845  |
         |-1138438814981368515  |
         ------------------------

     seed

       Seed to use in the random function.

     returns

       Random number.

     Since

       1.14.0

247.  def randn(): Column

     Generate a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution.

     Generate a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution. Return a call to the Snowflake RANDOM function. NOTE: Snowflake returns integers of 17-19 digits. Example

           val df = session.createDataFrame(Seq((1), (2), (3))).toDF("a")
           df.withColumn("randn", randn()).select("randn").show()
         ------------------------
         |"RANDN"               |
         ------------------------
         |-2093909082984812541  |
         |-1379817492278593383  |
         |-1231198046297539927  |
         ------------------------

     returns

       Random number.

     Since

       1.14.0

248.  def random(): Column

     Each call returns a pseudo-random 64-bit integer.

     Each call returns a pseudo-random 64-bit integer.

     Since

       0.1.0

249.  def random(seed: Long): Column

     Each call returns a pseudo-random 64-bit integer.

     Each call returns a pseudo-random 64-bit integer.

     Since

       0.1.0

250.  def rank(): Column

     Returns the rank of a value within an ordered group of values.

     Returns the rank of a value within an ordered group of values. The rank value starts at 1 and continues up.

     Since

       0.1.0

251.  def regexp_count(strExpr: Column, pattern: Column): Column

     Returns the number of times that a pattern occurs in a strExpr.

     Returns the number of times that a pattern occurs in a strExpr.

     Pattern syntax is specified here

     Parameter detail is specified here

     Since

       0.1.0

252.  def regexp_count(strExpr: Column, pattern: Column, position: Column, parameters: Column): Column

     Returns the number of times that a pattern occurs in a strExpr.

     Returns the number of times that a pattern occurs in a strExpr.

     Pattern syntax is specified here

     Parameter detail is specified here

     Since

       0.1.0

253.  def regexp_extract(colName: Column, exp: String, position: Int, Occurences: Int, grpIdx: Int): Column

     Signature -

     Signature -

         snowflake.snowpark.functions.regexp_extract
         (value: Union[Column, str], regexp: Union[Column, str], idx: int)
           Column

     Extract a specific group matched by a regex, from the specified string column. If the regex did not match, or the specified group did not match, an empty string is returned. <pr> Example:

          from snowflake.snowpark.functions import regexp_extract
          df = session.createDataFrame([["id_20_30", 10], ["id_40_50", 30]],
           ["id", "age"])
          df.select(regexp_extract("id", r"(\d+)", 1).alias("RES")).show()
         </pr>
         <pr>
              ---------
              |"RES"  |
              ---------
              |20     |
              |40     |
              ---------

     </pr> Note: non-greedy tokens such as are not supported

     returns

       Column object.

     Since

       1.14.0

254.  def regexp_replace(strExpr: Column, pattern: Column, replacement: Column): Column

     Returns the subject with the specified pattern (or all occurrences of the pattern) replaced by a replacement string.

     Returns the subject with the specified pattern (or all occurrences of the pattern) replaced by a replacement string. If no matches are found, returns the original subject.

     Since

       1.9.0

255.  def regexp_replace(strExpr: Column, pattern: Column): Column

     Returns the subject with the specified pattern (or all occurrences of the pattern) removed.

     Returns the subject with the specified pattern (or all occurrences of the pattern) removed. If no matches are found, returns the original subject.

     Since

       1.9.0

256.  def repeat(str: Column, n: Column): Column

     Builds a string by repeating the input for the specified number of times.

     Builds a string by repeating the input for the specified number of times.

     Since

       0.1.0

257.  def replace(strExpr: Column, pattern: Column): Column

     Removes all occurrences of a specified strExpr, and optionally replaces them with replacement.

     Removes all occurrences of a specified strExpr, and optionally replaces them with replacement.

     Since

       0.1.0

258.  def replace(strExpr: Column, pattern: Column, replacement: Column): Column

     Removes all occurrences of a specified strExpr, and optionally replaces them with replacement.

     Removes all occurrences of a specified strExpr, and optionally replaces them with replacement.

     Since

       0.1.0

259.  def reverse(c: Column): Column

     Wrapper for Snowflake built-in reverse function.

     Wrapper for Snowflake built-in reverse function. Gets the reversed string. Reverses the order of characters in a string, or of bytes in a binary value. The returned value is the same length as the input, but with the characters/bytes in reverse order. If subject is NULL, the result is also NULL. Example:

         SELECT REVERSE('Hello, world!');
         +--------------------------+
         | REVERSE('HELLO, WORLD!') |
         |--------------------------|
         | !dlrow ,olleH            |
         +--------------------------+

     c

       Column to be reverse.

     returns

       Column object.

     Since

       1.14.0

260.  def right(strExpr: Column, lengthExpr: Column): Column

     Returns a right most substring of strExpr.

     Returns a right most substring of strExpr.

     Since

       0.1.0

261.  def round(e: Column, scale: Int): Column

     Rounds the numeric values of the given column `e` to the `scale` decimal places using the half away from zero rounding mode.

     Rounds the numeric values of the given column `e` to the `scale` decimal places using the half away from zero rounding mode.

     Example:

         val df = session.sql(
           "select * from (values (-3.78), (-2.55), (1.23), (2.55), (3.78)) as T(a)")
         df.select(round(col("a"), 1).alias("round")).show()

         -----------
         |"ROUND"  |
         -----------
         |-3.8     |
         |-2.6     |
         |1.2      |
         |2.6      |
         |3.8      |
         -----------

     e

       The column of numeric values to round.

     scale

       The number of decimal places to which `e` should be rounded.

     returns

       A new column containing the rounded numeric values.

     Since

       1.14.0

262.  def round(e: Column): Column

     Rounds the numeric values of the given column `e` to 0 decimal places using the half away from zero rounding mode.

     Rounds the numeric values of the given column `e` to 0 decimal places using the half away from zero rounding mode.

     Example:

         val df = session.sql("select * from (values (-3.7), (-2.5), (1.2), (2.5), (3.7)) as T(a)")
         df.select(round(col("a")).alias("round")).show()

         -----------
         |"ROUND"  |
         -----------
         |-4       |
         |-3       |
         |1        |
         |3        |
         |4        |
         -----------

     e

       The column of numeric values to round.

     returns

       A new column containing the rounded numeric values.

     Since

       0.1.0

263.  def round(e: Column, scale: Column): Column

     Rounds the numeric values of the given column `e` to the `scale` decimal places using the half away from zero rounding mode.

     Rounds the numeric values of the given column `e` to the `scale` decimal places using the half away from zero rounding mode.

     Example:

         val df = session.sql(
           "select * from (values (-3.78), (-2.55), (1.23), (2.55), (3.78)) as T(a)")
         df.select(round(col("a"), lit(1)).alias("round")).show()

         -----------
         |"ROUND"  |
         -----------
         |-3.8     |
         |-2.6     |
         |1.2      |
         |2.6      |
         |3.8      |
         -----------

     e

       The column of numeric values to round.

     scale

       A column representing the number of decimal places to which `e` should be rounded.

     returns

       A new column containing the rounded numeric values.

     Since

       0.1.0

264.  def row_number(): Column

     Returns a unique row number for each row within a window partition.

     Returns a unique row number for each row within a window partition. The row number starts at 1 and continues up sequentially.

     Since

       0.1.0

265.  def rpad(str: Column, len: Int, pad: Array[Byte]): Column

     Right-pads a binary value with bytes from another binary value.

     Right-pads a binary value with bytes from another binary value.

     Examples:

         val df = Seq(Array[Byte](0x41, 0x42)).toDF("a")
         df.select(rpad(col("a"), 5, Array[Byte](0x00))).show()

         ------------------------------------
         |"RPAD(""A"", 5, '00' :: BINARY)"  |
         ------------------------------------
         |'4142000000'                      |
         ------------------------------------

     str

       The binary column to pad.

     len

       The target length of the resulting binary value (in bytes).

     pad

       The byte array to use for padding.

     returns

       A new column containing the right-padded binary value.

     Since

       1.17.0

266.  def rpad(str: Column, len: Int, pad: String): Column

     Right-pads a string with characters from another string.

     Right-pads a string with characters from another string.

     Examples:

         val df = Seq("hello", "world").toDF("a")
         df.select(rpad(col("a"), 10, "*")).show()

         --------------------------
         |"RPAD(""A"", 10, '*')"  |
         --------------------------
         |hello*****              |
         |world*****              |
         --------------------------

     str

       The string column to pad.

     len

       The target length of the resulting string value (in characters).

     pad

       The string literal to use for padding.

     returns

       A new column containing the right-padded string.

     Since

       1.17.0

267.  def rpad(str: Column, len: Column, pad: Column): Column

     Right-pads a string with characters from another string, or right-pads a binary value with bytes from another binary value.

     Right-pads a string with characters from another string, or right-pads a binary value with bytes from another binary value.

     Since

       0.1.0

268.  def rtrim(e: Column): Column

     Removes trailing characters, including whitespace, from a string.

     Removes trailing characters, including whitespace, from a string.

     Since

       0.1.0

269.  def rtrim(e: Column, trimString: Column): Column

     Removes trailing characters, including whitespace, from a string.

     Removes trailing characters, including whitespace, from a string.

     Since

       0.1.0

270.  def second(e: Column): Column

     Extracts the second from a date or timestamp.

     Extracts the second from a date or timestamp.

     Since

       0.1.0

271.  def seq1(startsFromZero: Boolean): Column

     Generates a sequence of monotonically increasing integers, with wrap-around.

     Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 1 byte.

     startsFromZero

       if true, the sequence continues at 0 after wrap-around, otherwise, continues at the smallest representable number based on the given integer width.

     Since

       0.11.0

272.  def seq1(): Column

     Generates a sequence of monotonically increasing integers, with wrap-around.

     Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 1 byte. the sequence continues at 0 after wrap-around.

     Since

       0.11.0

273.  def seq2(startsFromZero: Boolean): Column

     Generates a sequence of monotonically increasing integers, with wrap-around.

     Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 2 byte.

     startsFromZero

       if true, the sequence continues at 0 after wrap-around, otherwise, continues at the smallest representable number based on the given integer width.

     Since

       0.11.0

274.  def seq2(): Column

     Generates a sequence of monotonically increasing integers, with wrap-around.

     Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 2 byte. the sequence continues at 0 after wrap-around.

     Since

       0.11.0

275.  def seq4(startsFromZero: Boolean): Column

     Generates a sequence of monotonically increasing integers, with wrap-around.

     Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 4 byte.

     startsFromZero

       if true, the sequence continues at 0 after wrap-around, otherwise, continues at the smallest representable number based on the given integer width.

     Since

       0.11.0

276.  def seq4(): Column

     Generates a sequence of monotonically increasing integers, with wrap-around.

     Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 4 byte. the sequence continues at 0 after wrap-around.

     Since

       0.11.0

277.  def seq8(startsFromZero: Boolean): Column

     Generates a sequence of monotonically increasing integers, with wrap-around.

     Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 8 byte.

     startsFromZero

       if true, the sequence continues at 0 after wrap-around, otherwise, continues at the smallest representable number based on the given integer width.

     Since

       0.11.0

278.  def seq8(): Column

     Generates a sequence of monotonically increasing integers, with wrap-around.

     Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 8 byte. the sequence continues at 0 after wrap-around.

     Since

       0.11.0

279.  def sha1(e: Column): Column

     Returns a 40-character hex-encoded string containing the 160-bit SHA-1 message digest.

     Returns a 40-character hex-encoded string containing the 160-bit SHA-1 message digest.

     Since

       0.1.0

280.  def sha2(e: Column, numBits: Int): Column

     Returns a hex-encoded string containing the N-bit SHA-2 message digest, where N is the specified output digest size.

     Returns a hex-encoded string containing the N-bit SHA-2 message digest, where N is the specified output digest size.

     Since

       0.1.0

281.  def shiftleft(c: Column, numBits: Int): Column

     Shift the given value numBits left.

     Shift the given value numBits left. If the given value is a long value, this function will return a long value else it will return an integer value. Example

           val df = session.createDataFrame(Seq((1), (2), (3))).toDF("a")
           df.select(shiftleft(col("A"), 1).as("shiftleft")).show()
         ---------------
         |"SHIFTLEFT"  |
         ---------------
         |2            |
         |4            |
         |6            |
         ---------------

     c

       Column to modify.

     numBits

       Number of bits to shift.

     returns

       Column object.

     Since

       1.14.0

282.  def shiftright(c: Column, numBits: Int): Column

     Shift the given value numBits right.

     Shift the given value numBits right. If the given value is a long value, it will return a long value else it will return an integer value. Example

           val df = session.createDataFrame(Seq((1), (2), (3))).toDF("a")
           df.select(shiftright(col("A"), 1).as("shiftright")).show()
         ----------------
         |"SHIFTRIGHT"  |
         ----------------
         |0             |
         |1             |
         |1             |
         ----------------

     c

       Column to modify.

     numBits

       Number of bits to shift.

     returns

       Column object.

     Since

       1.14.0

283.  def sign(colName: Column): Column

     Returns the sign of its argument as mentioned :

     Returns the sign of its argument as mentioned :

     - -1 if the argument is negative.
     - 1 if it is positive.
     - 0 if it is 0.

     Args: col: The column to evaluate its sign <pr> Example::

             >>> df = session.create_dataframe([(-2, 2, 0)], ["a", "b", "c"])
             >>> df.select(sign("a").alias("a_sign"), sign("b").alias("b_sign"),
         sign("c").alias("c_sign")).show()
             ----------------------------------
             |"A_SIGN"  |"B_SIGN"  |"C_SIGN"  |
             ----------------------------------
             |-1        |1         |0         |
             ----------------------------------

     </pr>

     returns

       Column object.

     Since

       1.14.0

284.  def signum(columnName: String): Column

     Returns the sign of the given column.

     Returns the sign of the given column. Returns either 1 for positive, 0 for 0 or NaN, -1 for negative and null for null. NOTE: if string values are provided snowflake will attempts to cast. If it casts correctly, returns the calculation, if not an error will be thrown

     columnName

       Name of the column to calculate the sign.

     returns

       Column object.

     Since

       1.14.0

285.  def signum(colName: Column): Column

     Returns the sign of its argument:

     Returns the sign of its argument:

     - -1 if the argument is negative.
     - 1 if it is positive.
     - 0 if it is 0.

     Args: col: The column to evaluate its sign <pr> Example:: >>>

             >>> df = session.create_dataframe([(-2, 2, 0)], ["a", "b", "c"])
             >>> df.select(sign("a").alias("a_sign"), sign("b").alias("b_sign"),
         sign("c").alias("c_sign")).show()
             ----------------------------------
             |"A_SIGN"  |"B_SIGN"  |"C_SIGN"  |
             ----------------------------------
             |-1        |1         |0         |
             ----------------------------------

     </pr>

     returns

       Column object.

     Since

       1.14.0

286.  def sin(e: Column): Column

     Computes the sine of its argument; the argument should be expressed in radians.

     Computes the sine of its argument; the argument should be expressed in radians.

     Since

       0.1.0

287.  def sinh(e: Column): Column

     Computes the hyperbolic sine of its argument.

     Computes the hyperbolic sine of its argument.

     Since

       0.1.0

288.  def size(c: Column): Column

     Returns the size of the input ARRAY.

     Returns the size of the input ARRAY.

     If the specified column contains a VARIANT value that contains an ARRAY, the size of the ARRAY is returned; otherwise, NULL is returned if the value is not an ARRAY.

     Example:

           val df = session.createDataFrame(Seq(Array(1, 2, 3))).toDF("id")
           df.select(size(col("id"))).show()

         ------------------------
         |"ARRAY_SIZE(""ID"")"  |
         ------------------------
         |3                     |
         ------------------------

     c

       Column to get the size.

     returns

       Size of array column.

     Since

       1.14.0

289.  def skew(e: Column): Column

     Returns the sample skewness of non-NULL records.

     Returns the sample skewness of non-NULL records. If all records inside a group are NULL, the function returns NULL.

     Since

       0.1.0

290.  def soundex(e: Column): Column

     Returns a string that contains a phonetic representation of the input string.

     Returns a string that contains a phonetic representation of the input string.

     Since

       0.1.0

291.  def split(str: Column, pattern: Column): Column

     Splits a given string with a given separator and returns the result in an array of strings.

     Splits a given string with a given separator and returns the result in an array of strings. To specify a string separator, use the lit() function.

     Example 1:

         val df = session.createDataFrame(
                        Seq(("many-many-words", "-"), ("hello--hello", "--"))).toDF("V", "D")
         df.select(split(col("V"), col("D"))).show()
         -------------------------
         |"SPLIT(""V"", ""D"")"  |
         -------------------------
         |[                      |
         |  "many",              |
         |  "many",              |
         |  "words"              |
         |]                      |
         |[                      |
         |  "hello",             |
         |  "hello"              |
         |]                      |
         -------------------------

     Example 2:

         val df = session.createDataFrame(Seq("many-many-words", "hello-hi-hello")).toDF("V")
         df.select(split(col("V"), lit("-"))).show()
         -------------------------
         |"SPLIT(""V"", ""D"")"  |
         -------------------------
         |[                      |
         |  "many",              |
         |  "many",              |
         |  "words"              |
         |]                      |
         |[                      |
         |  "hello",             |
         |  "hello"              |
         |]                      |
         -------------------------

     Since

       0.1.0

292.  def sqlExpr(sqlText: String): Column

     Creates a Column expression from raw SQL text.

     Creates a Column expression from raw SQL text.

     Note that the function does not interpret or check the SQL text.

     Since

       0.1.0

293.  def sqrt(e: Column): Column

     Returns the square-root of a non-negative numeric expression.

     Returns the square-root of a non-negative numeric expression.

     Since

       0.1.0

294.  def startswith(col: Column, str: Column): Column

     Returns true if col starts with str.

     Returns true if col starts with str.

     Since

       0.1.0

295.  def stddev(e: Column): Column

     Returns the sample standard deviation (square root of sample variance) of non-NULL values.

     Returns the sample standard deviation (square root of sample variance) of non-NULL values. If all records inside a group are NULL, returns NULL.

     Since

       0.1.0

296.  def stddev_pop(e: Column): Column

     Returns the population standard deviation (square root of variance) of non-NULL values.

     Returns the population standard deviation (square root of variance) of non-NULL values. If all records inside a group are NULL, returns NULL.

     Since

       0.1.0

297.  def stddev_samp(e: Column): Column

     Returns the sample standard deviation (square root of sample variance) of non-NULL values.

     Returns the sample standard deviation (square root of sample variance) of non-NULL values. If all records inside a group are NULL, returns NULL. Alias of stddev

     Since

       0.1.0

298.  def strip_null_value(col: Column): Column

     Converts a JSON "null" value in the specified column to a SQL NULL value.

     Converts a JSON "null" value in the specified column to a SQL NULL value. All other VARIANT values in the column are returned unchanged.

     Since

       0.2.0

299.  def strtok_to_array(array: Column, delimiter: Column): Column

     Tokenizes the given string using the given set of delimiters and returns the tokens as an array.

     Tokenizes the given string using the given set of delimiters and returns the tokens as an array. If either parameter is a NULL, a NULL is returned. An empty array is returned if tokenization produces no tokens.

     Since

       0.2.0

300.  def strtok_to_array(array: Column): Column

     Tokenizes the given string using the given set of delimiters and returns the tokens as an array.

     Tokenizes the given string using the given set of delimiters and returns the tokens as an array. If either parameter is a NULL, a NULL is returned. An empty array is returned if tokenization produces no tokens.

     Since

       0.2.0

301.  def substring(str: Column, pos: Int, len: Int): Column

     Returns the portion of the string or binary value from `str`, starting from the character/byte specified by `pos`, with limited length.

     Returns the portion of the string or binary value from `str`, starting from the character/byte specified by `pos`, with limited length.

     This function is a wrapper over the Snowflake SQL `SUBSTR`/`SUBSTRING` function. For detailed behavior documentation, see: substr

     Examples:

         val df = Seq(
           "SKU-12345-ABC",
           "PRD-67890-XYZ",
           "ITM-11111-DEF",
         ).toDF("product_id")

         // Extract product code (characters 5-9)
         df.select(substring(col("product_id"), 5, 5)).show()
         -------------------------------------
         |"SUBSTRING(""PRODUCT_ID"", 5, 5)"  |
         -------------------------------------
         |12345                              |
         |67890                              |
         |11111                              |
         -------------------------------------

         // Extract category suffix (last 3 characters)
         df.select(substring(col("product_id"), 11, 3)).show()
         --------------------------------------
         |"SUBSTRING(""PRODUCT_ID"", 11, 3)"  |
         --------------------------------------
         |ABC                                 |
         |XYZ                                 |
         |DEF                                 |
         --------------------------------------

     str

       The input string or binary value to extract a substring from.

     pos

       The starting position of the substring (1-based index).

       - If `pos` is 0, it is treated as 1 (start from the first character/byte).
       - If `pos` is negative, it counts backward from the end of the string (e.g., -1 starts at the last character/byte, -2 starts at the second-to-last character/byte).
       - If `pos` is greater than the length of `str`, the result is an empty string.
     len

       The maximum number of characters/bytes to return.

       - If `len` is 0 or negative, the result is an empty string.
       - If `len` exceeds the remaining length from `pos`, the result contains characters/bytes from `pos` to the end.
     returns

       A Column containing the extracted substring.

     Since

       1.17.0

302.  def substring(str: Column, pos: Column, len: Column): Column

     Returns the portion of the string or binary value from `str`, starting from the character/byte specified by `pos`, with limited length.

     Returns the portion of the string or binary value from `str`, starting from the character/byte specified by `pos`, with limited length.

     This function is a wrapper over the Snowflake SQL `SUBSTR`/`SUBSTRING` function. For detailed behavior documentation, see: substr

     Examples:

         val df = Seq(
           "john.doe@company.com",
           "user123@domain.org",
           "admin@test.net",
         ).toDF("email")

         // Extract first 4 characters (1-based indexing)
         df.select(substring(col("email"), lit(1), lit(4))).show()
         --------------------------------
         |"SUBSTRING(""EMAIL"", 1, 4)"  |
         --------------------------------
         |john                          |
         |user                          |
         |admi                          |
         --------------------------------

         // Extract domain part (starting from position after @)
         df.select(substring(col("email"), expr("POSITION('@' IN email) + 1"), lit(20))).show()
         ----------------------------------------------------------
         |"SUBSTRING(""EMAIL"", POSITION('@' IN EMAIL) + 1, 20)"  |
         ----------------------------------------------------------
         |company.com                                             |
         |domain.org                                              |
         |test.net                                                |
         ----------------------------------------------------------

     str

       The input string or binary value to extract a substring from.

     pos

       The starting position of the substring (1-based index).

       - If `pos` is 0, it is treated as 1 (start from the first character/byte).
       - If `pos` is negative, it counts backward from the end of the string (e.g., -1 starts at the last character/byte, -2 starts at the second-to-last character/byte).
       - If `pos` is greater than the length of `str`, the result is an empty string.
     len

       The maximum number of characters/bytes to return.

       - If `len` is 0 or negative, the result is an empty string.
       - If `len` exceeds the remaining length from `pos`, the result contains characters/bytes from `pos` to the end.
     returns

       A Column containing the extracted substring.

     Since

       0.1.0

303.  def substring_index(str: String, delim: String, count: Int): Column

     Returns the substring from string str before count occurrences of the delimiter delim.

     Returns the substring from string str before count occurrences of the delimiter delim. If count is positive, everything the left of the final delimiter (counting from left) is returned. If count is negative, every to the right of the final delimiter (counting from the right) is returned. substring_index performs a case-sensitive match when searching for delim.

     Since

       1.14.0

304.  def sum(colName: String): Column

     Returns the sum of non-NULL records in a group.

     Returns the sum of non-NULL records in a group. If all records inside a group are NULL, the function returns NULL.

     colName

       The input column name

     returns

       The result column

     Since

       1.12.0

305.  def sum(e: Column): Column

     Returns the sum of non-NULL records in a group.

     Returns the sum of non-NULL records in a group. If all records inside a group are NULL, the function returns NULL.

     Since

       0.1.0

306.  def sum_distinct(e: Column): Column

     Returns the sum of non-NULL distinct records in a group.

     Returns the sum of non-NULL distinct records in a group. You can use the DISTINCT keyword to compute the sum of unique non-null values. If all records inside a group are NULL, the function returns NULL.

     Since

       0.1.0

307.  final def synchronized[T0](arg0: => T0): T0
     Definition Classes
       AnyRef
308.  def sysdate(): Column

     Returns the current timestamp for the system, but in the UTC time zone.

     Returns the current timestamp for the system, but in the UTC time zone.

     Since

       0.1.0

309.  def tan(e: Column): Column

     Computes the tangent of its argument; the argument should be expressed in radians.

     Computes the tangent of its argument; the argument should be expressed in radians.

     Since

       0.1.0

310.  def tanh(e: Column): Column

     Computes the hyperbolic tangent of its argument.

     Computes the hyperbolic tangent of its argument.

     Since

       0.1.0

311.  def time_from_parts(hour: Column, minute: Column, second: Column): Column

     Creates a time from individual numeric components.

     Creates a time from individual numeric components.

     Since

       0.1.0

312.  def time_from_parts(hour: Column, minute: Column, second: Column, nanoseconds: Column): Column

     Creates a time from individual numeric components.

     Creates a time from individual numeric components.

     Since

       0.1.0

313.  def timestamp_from_parts(dateExpr: Column, timeExpr: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

314.  def timestamp_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column, nanosecond: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

315.  def timestamp_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

316.  def timestamp_ltz_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column, nanosecond: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

317.  def timestamp_ltz_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

318.  def timestamp_ntz_from_parts(dateExpr: Column, timeExpr: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

319.  def timestamp_ntz_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column, nanosecond: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

320.  def timestamp_ntz_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

321.  def timestamp_tz_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column, nanosecond: Column, timeZone: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

322.  def timestamp_tz_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column, nanosecond: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

323.  def timestamp_tz_from_parts(year: Column, month: Column, day: Column, hour: Column, minute: Column, second: Column): Column

     Creates a timestamp from individual numeric components.

     Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.

     Since

       0.1.0

324.  def toScalar(df: DataFrame): Column

     Generate a Column representing the result of the input DataFrame.

     Generate a Column representing the result of the input DataFrame. The parameter `df` should have one column and must produce one row.

     For Example:

         import functions._
         val df1 = session.sql("select * from values(1,1,1),(2,2,3) as T(c1,c2,c3)")
         val df2 = session.sql("select * from values(2) as T(a)")
         df1.select(Column("c1"), toScalar(df2)).show()
         df1.filter(Column("c1") < toScalar(df2)).show()

     Since

       0.4.0

325.  def toString(): String
     Definition Classes
       AnyRef → Any
326.  def to_array(col: Column): Column

     Converts the input expression into an array:

     Converts the input expression into an array:

     If the input is an ARRAY, or VARIANT containing an array value, the result is unchanged. For NULL or a JSON null input, returns NULL. For any other value, the result is a single-element array containing this value.

     Since

       0.2.0

327.  def to_date(e: Column, fmt: Column): Column

     Converts an input expression to a date.

     Converts an input expression to a date.

     Since

       0.1.0

328.  def to_date(e: Column): Column

     Converts an input expression to a date.

     Converts an input expression to a date.

     Since

       0.1.0

329.  def to_decimal(expr: Column, precision: Int, scale: Int): Column

     Converts an input expression to a decimal

     Converts an input expression to a decimal

     Since

       0.5.0

330.  def to_json(col: Column): Column

     Converts any VARIANT value to a string containing the JSON representation of the value.

     Converts any VARIANT value to a string containing the JSON representation of the value. If the input is NULL, the result is also NULL.

     Since

       0.2.0

331.  def to_number(e: Column, format: Column, precision: Int, scale: Int): Column

     Converts string 'e' to a number based on the string format 'format' with specified precision and scale.

     Converts string 'e' to a number based on the string format 'format' with specified precision and scale.

     e

       The input expression to convert.

     format

       The format to use to convert numeric values.

     precision

       The precision (total number of digits).

     scale

       The scale (number of digits after the decimal point).

     returns

       A Column with the numeric value.

     Since

       1.19.0

332.  def to_number(e: Column, format: Column): Column

     Converts string 'e' to a number based on the string format 'format'.

     Converts string 'e' to a number based on the string format 'format'.

     Precision and scale are automatically derived from the format string.

     e

       The input expression to convert.

     format

       The format to use to convert numeric values.

     returns

       A Column with the numeric value.

     Since

       1.19.0

333.  def to_number(e: Column): Column

     Converts an input expression to a NUMBER value.

     Converts an input expression to a NUMBER value.

     Uses default precision (38) and scale (0).

     e

       The input expression to convert.

     returns

       A Column with the numeric value.

     Since

       1.19.0

334.  def to_object(col: Column): Column

     Converts the input value to an object:

     Converts the input value to an object:

     For a variant value containing an object, returns this object (in a value of type OBJECT). For a variant value containing JSON null or for NULL input, returns NULL. For all other input values, reports an error.

     Since

       0.2.0

335.  def to_timestamp(s: Column, fmt: Column): Column

     Converts an input expression into the corresponding timestamp.

     Converts an input expression into the corresponding timestamp.

     Since

       0.1.0

336.  def to_timestamp(s: Column): Column

     Converts an input expression into the corresponding timestamp.

     Converts an input expression into the corresponding timestamp.

     Since

       0.1.0

337.  def to_utc_timestamp(ts: Column): Column

     Given a timestamp like '2017-07-14 02:40:00.0', interprets it as a time in the given time zone, and renders that time as a timestamp in UTC.

     Given a timestamp like '2017-07-14 02:40:00.0', interprets it as a time in the given time zone, and renders that time as a timestamp in UTC. For example, 'GMT+1' would yield '2017-07-14 01:40:00.0'.

     ts

       A date, timestamp or string. If a string, the data must be in a format that can be cast to a timestamp, such as `yyyy-MM-dd` or `yyyy-MM-dd HH:mm:ss.SSSS` A string detailing the time zone ID that the input should be adjusted to. It should be in the format of either region-based zone IDs or zone offsets. Region IDs must have the form 'area/city', such as 'America/Los_Angeles'. Zone offsets must be in the format '(+|-)HH:mm', for example '-08:00' or '+01:00'. Also 'UTC' and 'Z' are supported as aliases of '+00:00'. Other short names are not recommended to use because they can be ambiguous.

     returns

       A timestamp, or null if `ts` was a string that could not be cast to a timestamp or `tz` was an invalid value

     Since

       1.15.0

338.  def to_variant(col: Column): Column

     Converts any value to VARIANT value or NULL (if input is NULL).

     Converts any value to VARIANT value or NULL (if input is NULL).

     Since

       0.2.0

339.  def to_xml(col: Column): Column

     Converts any VARIANT value to a string containing the XML representation of the value.

     Converts any VARIANT value to a string containing the XML representation of the value. If the input is NULL, the result is also NULL.

     Since

       0.2.0

340.  def translate(src: Column, matchingString: Column, replaceString: Column): Column

     Translates src from the characters in matchingString to the characters in replaceString.

     Translates src from the characters in matchingString to the characters in replaceString.

     Since

       0.1.0

341.  def trim(e: Column, trimString: Column): Column

     Removes leading and trailing characters from a string.

     Removes leading and trailing characters from a string.

     Since

       0.1.0

342.  def trunc(expr: Column, scale: Column): Column

     Rounds the input expression down to the nearest (or equal) integer closer to zero, or to the nearest equal or smaller value with the specified number of places after the decimal point.

     Rounds the input expression down to the nearest (or equal) integer closer to zero, or to the nearest equal or smaller value with the specified number of places after the decimal point.

     Since

       0.1.0

343.  def try_to_date(e: Column, fmt: String): Column

     Wrapper for Snowflake built-in try_to_date function.

     Wrapper for Snowflake built-in try_to_date function. Converts an input expression to a date, but with error-handling support, if the conversion cannot be performed, it returns a NULL value instead of raising an error.

     ##### Example

         val df = session.sql("select * from values('2020.07.23'),('INVALID') as T(a)")
         df.select(try_to_date(col("a"), "YYYY.MM.DD")).show()
         --------------------------------------
         |"TRY_TO_DATE(""A"", 'YYYY.MM.DD')"  |
         --------------------------------------
         |2020-07-23                          |
         |NULL                                |
         --------------------------------------

     e

       The input value to be converted to date.

     fmt

       The time format as String

     returns

       The result column.

     Since

       1.18.0

344.  def try_to_date(e: Column, fmt: Column): Column

     Wrapper for Snowflake built-in try_to_date function.

     Wrapper for Snowflake built-in try_to_date function. Converts an input expression to a date, but with error-handling support, if the conversion cannot be performed, it returns a NULL value instead of raising an error.

     ##### Example

         val df = session.sql("select * from values('2020.07.23'),('INVALID') as T(a)")
         df.select(try_to_date(col("a"), lit("YYYY.MM.DD"))).show()
         --------------------------------------
         |"TRY_TO_DATE(""A"", 'YYYY.MM.DD')"  |
         --------------------------------------
         |2020-07-23                          |
         |NULL                                |
         --------------------------------------

     e

       The input value to be converted to date.

     fmt

       The time format as Column

     returns

       The result column.

     Since

       1.17.0

345.  def try_to_date(e: Column): Column

     Wrapper for Snowflake built-in try_to_date function.

     Wrapper for Snowflake built-in try_to_date function. Converts an input expression to a date, but with error-handling support, if the conversion cannot be performed, it returns a NULL value instead of raising an error.

     ##### Example

         SELECT TRY_TO_DATE("2020-05-11") as valid, TRY_TO_DATE("invalid") as invalid;
         +------------+---------+
         | VALID      | INVALID |
         |------------+---------|
         | 2020-05-11 | NULL    |
         +------------+---------+

     e

       The input value to be converted to date.

     returns

       The result column.

     Since

       1.17.0

346.  def try_to_number(e: Column, format: String): Column

     Convenience overload of `try_to_number` that accepts a String format and wraps it with `lit`.

     Convenience overload of `try_to_number` that accepts a String format and wraps it with `lit`.

     e

       The input expression to convert.

     format

       The format string to use to convert numeric values.

     returns

       A Column with the numeric value, or NULL if conversion fails.

347.  def try_to_number(e: Column, format: Column, precision: Int, scale: Int): Column

     Converts string 'e' to a number based on the string format 'format' with specified precision and scale, with error-handling support.

     Converts string 'e' to a number based on the string format 'format' with specified precision and scale, with error-handling support. If the conversion cannot be performed, it returns NULL instead of raising an error.

     e

       The input expression to convert.

     format

       The format to use to convert numeric values.

     precision

       The precision (total number of digits).

     scale

       The scale (number of digits after the decimal point).

     returns

       A Column with the numeric value, or NULL if conversion fails.

     Since

       1.19.0

348.  def try_to_number(e: Column, format: Column): Column

     Converts string 'e' to a number based on the string format 'format', with error-handling support.

     Converts string 'e' to a number based on the string format 'format', with error-handling support. If the conversion cannot be performed, it returns NULL instead of raising an error.

     Precision and scale are automatically derived from the format string.

     e

       The input expression to convert.

     format

       The format to use to convert numeric values.

     returns

       A Column with the numeric value, or NULL if conversion fails.

     Since

       1.19.0

349.  def try_to_number(e: Column): Column

     Converts an input expression to a NUMBER value, with error-handling support.

     Converts an input expression to a NUMBER value, with error-handling support. If the conversion cannot be performed, it returns NULL instead of raising an error.

     Uses default precision (38) and scale (0).

     e

       The input expression to convert.

     returns

       A Column with the numeric value, or NULL if conversion fails.

     Since

       1.19.0

350.  def try_to_timestamp(s: Column, fmt: String): Column

     Wrapper for Snowflake built-in try_to_timestamp function.

     Wrapper for Snowflake built-in try_to_timestamp function. Converts an input expression into the corresponding timestamp, but with error-handling support, if the conversion cannot be performed, it returns a NULL value instead of raising an error.

     ##### Example

         val df = session.sql("select * from (values ('04/05/2020 01:02:03'), ('invalid')) as T(a)")
         df.select(try_to_timestamp(col("a"), "mm/dd/yyyy hh24:mi:ss")).show()
         ------------------------------------------------------
         |"TRY_TO_TIMESTAMP(""A"", 'MM/DD/YYYY HH24:MI:SS')"  |
         ------------------------------------------------------
         |2020-04-05 01:02:03.0                               |
         |NULL                                                |
         ------------------------------------------------------

     s

       The input value to be converted to timestamp.

     fmt

       The time format as String

     returns

       The result column.

     Since

       1.18.0

351.  def try_to_timestamp(s: Column, fmt: Column): Column

     Wrapper for Snowflake built-in try_to_timestamp function.

     Wrapper for Snowflake built-in try_to_timestamp function. Converts an input expression into the corresponding timestamp, but with error-handling support, if the conversion cannot be performed, it returns a NULL value instead of raising an error.

     ##### Example

         val df = session.sql("select * from (values ('04/05/2020 01:02:03'), ('invalid')) as T(a)")
         df.select(try_to_timestamp(col("a"), lit("mm/dd/yyyy hh24:mi:ss"))).show()
         ------------------------------------------------------
         |"TRY_TO_TIMESTAMP(""A"", 'MM/DD/YYYY HH24:MI:SS')"  |
         ------------------------------------------------------
         |2020-04-05 01:02:03.0                               |
         |NULL                                                |
         ------------------------------------------------------

     s

       The input value to be converted to timestamp.

     fmt

       The time format as Column

     returns

       The result column.

     Since

       1.17.0

352.  def try_to_timestamp(s: Column): Column

     Wrapper for Snowflake built-in try_to_timestamp function.

     Wrapper for Snowflake built-in try_to_timestamp function. Converts an input expression into the corresponding timestamp, but with error-handling support, if the conversion cannot be performed, it returns a NULL value instead of raising an error.

     ##### Example

         SELECT TRY_TO_TIMESTAMP('2024-01-15 12:30:00') as valid,
                TRY_TO_TIMESTAMP('1561479557') as valid,
                TRY_TO_TIMESTAMP('INVALID') as invalid;
         +-------------------------+---------+
         | VALID                   | INVALID |
         |-------------------------+---------|
         | 2024-01-15 12:30:00.000 | NULL    |
         +-------------------------+---------+

     s

       The input value to be converted to timestamp.

     returns

       The result column.

     Since

       1.17.0

353.  def typedLit[T](literal: T)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Column

     Creates a Column expression for a literal value.

     Creates a Column expression for a literal value.

     Since

       0.1.0

354.  def udf(funcName: String)(func: => UserDefinedFunction): UserDefinedFunction
     Attributes
       protected
     Annotations
       @inline()
355.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14], arg15: scala.reflect.api.JavaUniverse.TypeTag[A15], arg16: scala.reflect.api.JavaUniverse.TypeTag[A16], arg17: scala.reflect.api.JavaUniverse.TypeTag[A17], arg18: scala.reflect.api.JavaUniverse.TypeTag[A18], arg19: scala.reflect.api.JavaUniverse.TypeTag[A19], arg20: scala.reflect.api.JavaUniverse.TypeTag[A20], arg21: scala.reflect.api.JavaUniverse.TypeTag[A21], arg22: scala.reflect.api.JavaUniverse.TypeTag[A22]): UserDefinedFunction

     Registers a Scala closure of 22 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 22 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

356.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14], arg15: scala.reflect.api.JavaUniverse.TypeTag[A15], arg16: scala.reflect.api.JavaUniverse.TypeTag[A16], arg17: scala.reflect.api.JavaUniverse.TypeTag[A17], arg18: scala.reflect.api.JavaUniverse.TypeTag[A18], arg19: scala.reflect.api.JavaUniverse.TypeTag[A19], arg20: scala.reflect.api.JavaUniverse.TypeTag[A20], arg21: scala.reflect.api.JavaUniverse.TypeTag[A21]): UserDefinedFunction

     Registers a Scala closure of 21 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 21 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

357.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14], arg15: scala.reflect.api.JavaUniverse.TypeTag[A15], arg16: scala.reflect.api.JavaUniverse.TypeTag[A16], arg17: scala.reflect.api.JavaUniverse.TypeTag[A17], arg18: scala.reflect.api.JavaUniverse.TypeTag[A18], arg19: scala.reflect.api.JavaUniverse.TypeTag[A19], arg20: scala.reflect.api.JavaUniverse.TypeTag[A20]): UserDefinedFunction

     Registers a Scala closure of 20 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 20 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

358.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14], arg15: scala.reflect.api.JavaUniverse.TypeTag[A15], arg16: scala.reflect.api.JavaUniverse.TypeTag[A16], arg17: scala.reflect.api.JavaUniverse.TypeTag[A17], arg18: scala.reflect.api.JavaUniverse.TypeTag[A18], arg19: scala.reflect.api.JavaUniverse.TypeTag[A19]): UserDefinedFunction

     Registers a Scala closure of 19 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 19 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

359.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14], arg15: scala.reflect.api.JavaUniverse.TypeTag[A15], arg16: scala.reflect.api.JavaUniverse.TypeTag[A16], arg17: scala.reflect.api.JavaUniverse.TypeTag[A17], arg18: scala.reflect.api.JavaUniverse.TypeTag[A18]): UserDefinedFunction

     Registers a Scala closure of 18 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 18 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

360.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14], arg15: scala.reflect.api.JavaUniverse.TypeTag[A15], arg16: scala.reflect.api.JavaUniverse.TypeTag[A16], arg17: scala.reflect.api.JavaUniverse.TypeTag[A17]): UserDefinedFunction

     Registers a Scala closure of 17 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 17 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

361.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14], arg15: scala.reflect.api.JavaUniverse.TypeTag[A15], arg16: scala.reflect.api.JavaUniverse.TypeTag[A16]): UserDefinedFunction

     Registers a Scala closure of 16 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 16 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

362.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14], arg15: scala.reflect.api.JavaUniverse.TypeTag[A15]): UserDefinedFunction

     Registers a Scala closure of 15 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 15 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

363.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13], arg14: scala.reflect.api.JavaUniverse.TypeTag[A14]): UserDefinedFunction

     Registers a Scala closure of 14 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 14 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

364.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12], arg13: scala.reflect.api.JavaUniverse.TypeTag[A13]): UserDefinedFunction

     Registers a Scala closure of 13 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 13 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

365.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11], arg12: scala.reflect.api.JavaUniverse.TypeTag[A12]): UserDefinedFunction

     Registers a Scala closure of 12 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 12 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

366.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10], arg11: scala.reflect.api.JavaUniverse.TypeTag[A11]): UserDefinedFunction

     Registers a Scala closure of 11 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 11 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.12.0

367.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9], arg10: scala.reflect.api.JavaUniverse.TypeTag[A10]): UserDefinedFunction

     Registers a Scala closure of 10 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 10 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

368.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8, A9](func: (A1, A2, A3, A4, A5, A6, A7, A8, A9) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8], arg9: scala.reflect.api.JavaUniverse.TypeTag[A9]): UserDefinedFunction

     Registers a Scala closure of 9 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 9 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

369.  def udf[RT, A1, A2, A3, A4, A5, A6, A7, A8](func: (A1, A2, A3, A4, A5, A6, A7, A8) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7], arg8: scala.reflect.api.JavaUniverse.TypeTag[A8]): UserDefinedFunction

     Registers a Scala closure of 8 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 8 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

370.  def udf[RT, A1, A2, A3, A4, A5, A6, A7](func: (A1, A2, A3, A4, A5, A6, A7) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6], arg7: scala.reflect.api.JavaUniverse.TypeTag[A7]): UserDefinedFunction

     Registers a Scala closure of 7 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 7 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

371.  def udf[RT, A1, A2, A3, A4, A5, A6](func: (A1, A2, A3, A4, A5, A6) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5], arg6: scala.reflect.api.JavaUniverse.TypeTag[A6]): UserDefinedFunction

     Registers a Scala closure of 6 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 6 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

372.  def udf[RT, A1, A2, A3, A4, A5](func: (A1, A2, A3, A4, A5) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4], arg5: scala.reflect.api.JavaUniverse.TypeTag[A5]): UserDefinedFunction

     Registers a Scala closure of 5 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 5 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

373.  def udf[RT, A1, A2, A3, A4](func: (A1, A2, A3, A4) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3], arg4: scala.reflect.api.JavaUniverse.TypeTag[A4]): UserDefinedFunction

     Registers a Scala closure of 4 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 4 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

374.  def udf[RT, A1, A2, A3](func: (A1, A2, A3) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2], arg3: scala.reflect.api.JavaUniverse.TypeTag[A3]): UserDefinedFunction

     Registers a Scala closure of 3 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 3 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

375.  def udf[RT, A1, A2](func: (A1, A2) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1], arg2: scala.reflect.api.JavaUniverse.TypeTag[A2]): UserDefinedFunction

     Registers a Scala closure of 2 arguments as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 2 arguments as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

376.  def udf[RT, A1](func: (A1) => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT], arg1: scala.reflect.api.JavaUniverse.TypeTag[A1]): UserDefinedFunction

     Registers a Scala closure of 1 argument as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 1 argument as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

377.  def udf[RT](func: () => RT)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[RT]): UserDefinedFunction

     Registers a Scala closure of 0 argument as a Snowflake Java UDF and returns the UDF.

     Registers a Scala closure of 0 argument as a Snowflake Java UDF and returns the UDF.

     RT

       return type of UDF.

     Since

       0.1.0

378.  def unbase64(col: Column): Column

     Decodes a BASE64 encoded string column and returns it as a column.

     Decodes a BASE64 encoded string column and returns it as a column. Example

          val df = session.createDataFrame(Seq("dGVzdA==")).toDF("a")
          df.select(unbase64(col("a")).as("unbase64")).show()
         --------------
         |"UNBASE64"  |
         --------------
         |test        |
         --------------

     returns

       the decoded value of the given encoded value.

     Since

       1.14.0

379.  def unhex(c: Column): Column

     Inverse of hex.

     Inverse of hex. Interprets each pair of characters as a hexadecimal number and converts to the byte representation of number. Example

           val df = session.createDataFrame(Seq((31), (32), (33))).toDF("a")
           df.withColumn("unhex_col", unhex(col("A"))).select("unhex_col").show()
         ---------------
         |"UNHEX_COL"  |
         ---------------
         |1            |
         |2            |
         |3            |
         ---------------

     c

       Column to encode.

     returns

       Encoded string.

     Since

       1.14.0

380.  def uniform(min: Column, max: Column, gen: Column): Column

     Returns a uniformly random number, in the inclusive range (`min`, `max`)

     Returns a uniformly random number, in the inclusive range (`min`, `max`)

     For example:

         import com.snowflake.snowpark.functions._
         session.generator(10, seq4(), uniform(lit(1), lit(5), random())).show()

     min

       The lower bound

     max

       The upper bound

     gen

       The generator expression for the function. for more information, see https://docs.snowflake.com/en/sql-reference/functions-data-generation.html#label-rand-dist-functions

     Since

       0.11.0

381.  def unix_timestamp(c: Column): Column

     Returns the current Unix timestamp (in seconds) as a long.

     Returns the current Unix timestamp (in seconds) as a long. Extracts a specified date or time portion from a date, time, or timestamp. how:

         EXTRACT , HOUR / MINUTE / SECOND , YEAR* / DAY* / WEEK* / MONTH / QUARTER
         Construction - DATE_PART( <date_or_time_part> , <date_or_time_expr> )
         SELECT TO_TIMESTAMP('2013-05-08T23:39:20.123-07:00') AS "TIME_STAMP1",
          DATE_PART(EPOCH_SECOND, "TIME_STAMP1") AS "EXTRACTED EPOCH SECOND";
         +-------------------------+------------------------+
         | TIME_STAMP1             | EXTRACTED EPOCH SECOND |
         |-------------------------+------------------------|
         | 2013-05-08 23:39:20.123 |             1368056360 |
         +-------------------------+------------------------+

     Since

       1.14.0

     Note

       All calls of `unix_timestamp` within the same query return the same value

382.  def upper(e: Column): Column

     Returns the input string with all characters converted to uppercase.

     Returns the input string with all characters converted to uppercase.

     Since

       0.1.0

383.  def var_pop(e: Column): Column

     Returns the population variance of non-NULL records in a group.

     Returns the population variance of non-NULL records in a group. If all records inside a group are NULL, a NULL is returned.

     Since

       0.1.0

384.  def var_samp(e: Column): Column

     Returns the sample variance of non-NULL records in a group.

     Returns the sample variance of non-NULL records in a group. If all records inside a group are NULL, a NULL is returned. Alias of var_samp

     Since

       0.1.0

385.  def variance(e: Column): Column

     Returns the sample variance of non-NULL records in a group.

     Returns the sample variance of non-NULL records in a group. If all records inside a group are NULL, a NULL is returned.

     Since

       0.1.0

386.  final def wait(arg0: Long, arg1: Int): Unit
     Definition Classes
       AnyRef
     Annotations
       @throws(classOf[java.lang.InterruptedException])
387.  final def wait(arg0: Long): Unit
     Definition Classes
       AnyRef
     Annotations
       @throws(classOf[java.lang.InterruptedException]) @native()
388.  final def wait(): Unit
     Definition Classes
       AnyRef
     Annotations
       @throws(classOf[java.lang.InterruptedException])
389.  def weekofyear(e: Column): Column

     Extracts the week of year from a date or timestamp.

     Extracts the week of year from a date or timestamp.

     Since

       0.1.0

390.  def when(condition: Column, value: Any): CaseExpr

     Works like a cascading if-then-else statement.

     Works like a cascading if-then-else statement. A series of conditions are evaluated in sequence. When a condition evaluates to TRUE, the evaluation stops and the associated result (after THEN) is returned. If none of the conditions evaluate to TRUE, then the result after the optional OTHERWISE is returned, if present; otherwise NULL is returned.

     ##### Example

         import functions._
         val df = session.sql("SELECT * FROM values (null, 5), (1, 10), (2, 15) as T(col, numeric_col)")
         val result = df.select(
           when(col("col").is_null, lit(1))
             .when(col("col") === 1, lit(2))
             .when(col("col") === 1, col("numeric_col") * 0.10)
             .otherwise(lit(3))
         )

     condition

       The case condition.

     value

       The result value, which can be any literal (e.g., String, Int, Boolean) or a `Column`.

     returns

       The result case expression.

     Since

       0.2.0

391.  def xmlget(xml: Column, tag: Column): Column

     Extracts the first XML element object (often referred to as simply a tag) from a content of outer XML element object by the name of the tag

     Extracts the first XML element object (often referred to as simply a tag) from a content of outer XML element object by the name of the tag

     Since

       0.2.0

392.  def xmlget(xml: Column, tag: Column, instance: Column): Column

     Extracts an XML element object (often referred to as simply a tag) from a content of outer XML element object by the name of the tag and its instance number (counting from 0).

     Extracts an XML element object (often referred to as simply a tag) from a content of outer XML element object by the name of the tag and its instance number (counting from 0).

     Since

       0.2.0

393.  def year(e: Column): Column

     Extracts the year from a date or timestamp.

     Extracts the year from a date or timestamp.

     Since

       0.1.0

### Deprecated Value Members

1.  def finalize(): Unit
   Attributes
     protected[lang]
   Definition Classes
     AnyRef
   Annotations
     @throws(classOf[java.lang.Throwable]) @Deprecated
   Deprecated

     (Since version 9)

### Inherited from AnyRef

### Inherited from Any

### Aggregate Functions

### Bitwise Expression Functions

### Client-side Functions

### Conditional Expression Functions

### Context Functions

### Date and Time Functions

### Data Generation Functions

### Numeric Functions

### Semi-structured Data Functions

### String and Binary Functions

### Anonymous UDF Registration and Invocation Functions

### Utility and Hash Functions

### Window Functions

### Ungrouped