Snowpark Scala API Reference 1.19.0 - com.snowflake.snowpark.Column
Keywords: Snowpark Scala API Reference 1.19.0 com.snowflake.snowpark.Column

Snowpark Scala API Reference1.19.0 < Back
 

# 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

c

com.snowflake.snowpark

# Column 

###

#### case class Column extends Logging with Product with Serializable

Represents a column or an expression in a DataFrame.

To create a Column object to refer to a column in a DataFrame, you can:

- Use the functions.col function.
- Use the DataFrame.col method.
- Use the shorthand for the DataFrame.apply method (`<dataframe>`("<col_name>")`).`

For example:

    import com.snowflake.snowpark.functions.col
    df.select(col("name"))
    df.select(df.col("name"))
    dfLeft.select(dfRight, dfLeft("name") === dfRight("name"))

This class also defines utility functions for constructing expressions with Columns.

The following examples demonstrate how to use Column objects in expressions:

    df
     .filter(col("id") === 20)
     .filter((col("a") + col("b")) < 10)
     .select((col("b") * 10) as "c")

Since

  0.1.0

Linear Supertypes
Serializable, Serializable, Product, Equals, Logging, AnyRef, Any
Known Subclasses
CaseExpr
 
Ordering

1. Alphabetic
2. By Inheritance

Inherited

1. Column
2. Serializable
3. Serializable
4. Product
5. Equals
6. Logging
7. AnyRef
8. Any

1. Hide All
2. Show All

Visibility

1. Public
2. All

### Value Members

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

   Remainder.

   Remainder. Alias for mod.

   Since

     0.1.0

4.  def &&(other: Any): Column

   And.

   And. Alias for and.

   Since

     0.1.0

5.  def *(other: Any): Column

   Multiply.

   Multiply. Alias for multiply.

   Since

     0.1.0

6.  def +(other: Any): Column

   Plus.

   Plus. Alias for plus.

   Since

     0.1.0

7.  def -(other: Any): Column

   Minus.

   Minus. Alias for minus.

   Since

     0.1.0

8.  def /(other: Any): Column

   Divide.

   Divide. Alias for divide.

   Since

     0.1.0

9.  def <(other: Any): Column

   Less than.

   Less than. Alias for lt.

   Since

     0.1.0

10.  def <=(other: Any): Column

    Less than or equal to.

    Less than or equal to. Alias for leq.

    Since

      0.1.0

11.  def <=>(other: Any): Column

    Equal to.

    Equal to. You can use this for comparisons against a null value. Alias for equal_null.

    Since

      0.1.0

12.  def =!=(other: Any): Column

    Not equal to.

    Not equal to. Alias for not_equal.

    Since

      0.1.0

13.  final def ==(arg0: Any): Boolean
    Definition Classes
      AnyRef → Any
14.  def ===(other: Any): Column

    Equal to.

    Equal to. Alias for equal_to. Use this instead of `==` to perform an equality check in an expression. For example:

        lhs.filter(col("a") === 10).join(rhs, rhs("id") === lhs("id"))

    Since

      0.1.0

15.  def >(other: Any): Column

    Greater than.

    Greater than. Alias for gt.

    Since

      0.1.0

16.  def >=(other: Any): Column

    Greater than or equal to.

    Greater than or equal to. Alias for geq.

    Since

      0.1.0

17.  def alias(alias: String): Column

    Returns a new renamed Column.

    Returns a new renamed Column. Alias for name.

    Since

      0.1.0

18.  def and(other: Column): Column

    And.

    And.

    Since

      0.1.0

19.  def apply(idx: Int): Column

    Returns the element (field) at the specified index in a column that contains semi-structured data.

    Returns the element (field) at the specified index in a column that contains semi-structured data.

    The method applies case-sensitive matching to the names of the specified elements.

    This is equivalent to using bracket notation in SQL (`column[index]`).

    - If the column is an ARRAY value, this function extracts the VARIANT value of the array element at the specified index.
    - If the index points outside of the array boundaries or if an element does not exist at the specified index (e.g. if the array is sparsely populated), the method returns NULL.
    - If the column is a VARIANT value, this function first checks if the VARIANT value contains an ARRAY value.
    - If the VARIANT value does not contain an ARRAY value, the method returns NULL.
    - Otherwise, the method works as described above.

    For example:

        import com.snowflake.snowpark.functions.col
        df.select(col("src")(1)(0)("name")(0))

    idx

      index of the subfield to be extracted

    Since

      0.2.0

20.  def apply(field: String): Column

    Returns the specified element (field) in a column that contains semi-structured data.

    Returns the specified element (field) in a column that contains semi-structured data.

    The method applies case-sensitive matching to the names of the specified elements.

    This is equivalent to using bracket notation in SQL (`column['element']`).

    - If the column is an OBJECT value, this function extracts the VARIANT value of the element with the specified name from the OBJECT value.
    - If the element is not found, the method returns NULL.
    - You must not specify an empty string for the element name.
    - If the column is a VARIANT value, this function first checks if the VARIANT value contains an OBJECT value.
    - If the VARIANT value does not contain an OBJECT value, the method returns NULL.
    - Otherwise, the method works as described above.

    For example:

        import com.snowflake.snowpark.functions.col
        df.select(col("src")("salesperson")("emails")(0))

    field

      field name of the subfield to be extracted. You cannot specify a path.

    Since

      0.2.0

21.  def as(alias: String): Column

    Returns a new renamed Column.

    Returns a new renamed Column. Alias for name.

    Since

      0.1.0

22.  final def asInstanceOf[T0]: T0
    Definition Classes
      Any
23.  def asc: Column

    Returns a Column expression with values sorted in ascending order.

    Returns a Column expression with values sorted in ascending order.

    Since

      0.1.0

24.  def asc_nulls_first: Column

    Returns a Column expression with values sorted in ascending order (null values sorted before non-null values).

    Returns a Column expression with values sorted in ascending order (null values sorted before non-null values).

    Since

      0.1.0

25.  def asc_nulls_last: Column

    Returns a Column expression with values sorted in ascending order (null values sorted after non-null values).

    Returns a Column expression with values sorted in ascending order (null values sorted after non-null values).

    Since

      0.1.0

26.  def between(lowerBound: Column, upperBound: Column): Column

    Between lower bound and upper bound.

    Between lower bound and upper bound.

    Since

      0.1.0

27.  def bitand(other: Column): Column

    Bitwise and.

    Bitwise and.

    Since

      0.1.0

28.  def bitor(other: Column): Column

    Bitwise or.

    Bitwise or.

    Since

      0.1.0

29.  def bitxor(other: Column): Column

    Bitwise xor.

    Bitwise xor.

    Since

      0.1.0

30.  def cast(to: String): Column

    Casts the values in the Column to the specified data type.

    Casts the values in the Column to the specified data type.

    Examples

        val df = Seq(123, 456, 789).toDF("a")
        df.select(col("a").cast("string").as("casted")).schema.toString
        // res: String = "StructType[StructField(CASTED, String, Nullable = false)]"

    to

      A string representing the target data type.

    returns

      A new Column with values cast to the specified data type.

    Since

      1.18.0

    Exceptions thrown

      `IllegalArgumentException` If the provided string does not represent a valid data type.

31.  def cast(to: DataType): Column

    Casts the values in the Column to the specified data type.

    Casts the values in the Column to the specified data type.

    Since

      0.1.0

32.  def clone(): AnyRef
    Attributes
      protected[lang]
    Definition Classes
      AnyRef
    Annotations
      @throws( ... ) @native() @HotSpotIntrinsicCandidate()
33.  def collate(collateSpec: String): Column

    Returns a copy of the original Column with the specified `collationSpec` property, rather than the original collation specification property.

    Returns a copy of the original Column with the specified `collationSpec` property, rather than the original collation specification property.

    For details, see the Snowflake documentation on collation specifications.

    Since

      0.1.0

34.  def desc: Column

    Returns a Column expression with values sorted in descending order.

    Returns a Column expression with values sorted in descending order.

    Since

      0.1.0

35.  def desc_nulls_first: Column

    Returns a Column expression with values sorted in descending order (null values sorted before non-null values).

    Returns a Column expression with values sorted in descending order (null values sorted before non-null values).

    Since

      0.1.0

36.  def desc_nulls_last: Column

    Returns a Column expression with values sorted in descending order (null values sorted after non-null values).

    Returns a Column expression with values sorted in descending order (null values sorted after non-null values).

    Since

      0.1.0

37.  def divide(other: Any): Column

    Divide.

    Divide.

    Since

      0.1.0

38.  final def eq(arg0: AnyRef): Boolean
    Definition Classes
      AnyRef
39.  def equal_nan: Column

    Is NaN.

    Is NaN.

    Since

      0.1.0

40.  def equal_null(other: Any): Column

    Equal to.

    Equal to. You can use this for comparisons against a null value.

    Since

      0.1.0

41.  def equal_to(other: Any): Column

    Equal to.

    Equal to. Same as `===`.

    Since

      0.1.0

42.  def geq(other: Any): Column

    Greater than or equal to.

    Greater than or equal to.

    Since

      0.1.0

43.  final def getClass(): Class[_]
    Definition Classes
      AnyRef → Any
    Annotations
      @native() @HotSpotIntrinsicCandidate()
44.  def getName: Option[String]

    Returns the column name (if the column has a name).

    Returns the column name (if the column has a name).

    Since

      0.2.0

45.  def gt(other: Any): Column

    Greater than.

    Greater than.

    Since

      0.1.0

46.  def in(df: DataFrame): Column

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

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

    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 column "a" of `df2` contains one of the values from column "a" in `df1`. This is equivalent to SELECT * FROM table2 WHERE a IN (SELECT a FROM table1).

        val df1 = session.table(table1)
        val df2 = session.table(table2)
        df2.filter(col("a").in(df1))

    Since

      0.10.0

47.  def in(values: 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 with a specified list of values.

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

    For example, the following code returns a DataFrame that contains the rows where the column "a" contains the value 1, 2, or 3. This is equivalent to SELECT * FROM table WHERE a IN (1, 2, 3).

        df.filter(df("a").in(Seq(1, 2, 3)))

    Since

      0.10.0

48.  final def isInstanceOf[T0]: Boolean
    Definition Classes
      Any
49.  def isNull: Column

    Wrapper for is_null function.

    Wrapper for is_null function.

    Since

      1.10.0

50.  def is_not_null: Column

    Is not null.

    Is not null.

    Since

      0.1.0

51.  def is_null: Column

    Is null.

    Is null.

    Since

      0.1.0

52.  def leq(other: Any): Column

    Less than or equal to.

    Less than or equal to.

    Since

      0.1.0

53.  def like(pattern: Column): Column

    Allows case-sensitive matching of strings based on comparison with a pattern.

    Allows case-sensitive matching of strings based on comparison with a pattern.

    For details, see the Snowflake documentation on LIKE.

    Since

      0.1.0

54.  def log(): Logger
    Attributes
      protected[internal]
    Definition Classes
      Logging
55.  def logDebug(msg: String, throwable: Throwable): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
56.  def logDebug(msg: String): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
57.  def logError(msg: String, throwable: Throwable): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
58.  def logError(msg: String): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
59.  def logInfo(msg: String, throwable: Throwable): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
60.  def logInfo(msg: String): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
61.  def logTrace(msg: String, throwable: Throwable): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
62.  def logTrace(msg: String): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
63.  def logWarning(msg: String, throwable: Throwable): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
64.  def logWarning(msg: String): Unit
    Attributes
      protected[internal]
    Definition Classes
      Logging
65.  def lt(other: Any): Column

    Less than.

    Less than.

    Since

      0.1.0

66.  def minus(other: Any): Column

    Minus.

    Minus.

    Since

      0.1.0

67.  def mod(other: Any): Column

    Remainder.

    Remainder.

    Since

      0.1.0

68.  def multiply(other: Any): Column

    Multiply.

    Multiply.

    Since

      0.1.0

69.  def name(alias: String): Column

    Returns a new renamed Column.

    Returns a new renamed Column.

    Since

      0.1.0

70.  final def ne(arg0: AnyRef): Boolean
    Definition Classes
      AnyRef
71.  def not_equal(other: Any): Column

    Not equal to.

    Not equal to.

    Since

      0.1.0

72.  final def notify(): Unit
    Definition Classes
      AnyRef
    Annotations
      @native() @HotSpotIntrinsicCandidate()
73.  final def notifyAll(): Unit
    Definition Classes
      AnyRef
    Annotations
      @native() @HotSpotIntrinsicCandidate()
74.  def or(other: Column): Column

    Or.

    Or.

    Since

      0.1.0

75.  def over(): Column

    Returns a windows frame, based on an empty WindowSpec expression.

    Returns a windows frame, based on an empty WindowSpec expression.

    Since

      0.1.0

76.  def over(window: WindowSpec): Column

    Returns a windows frame, based on the specified WindowSpec.

    Returns a windows frame, based on the specified WindowSpec.

    Since

      0.1.0

77.  def plus(other: Any): Column

    Plus.

    Plus.

    Since

      0.1.0

78.  def regexp(pattern: Column): Column

    Returns true if this Column matches the specified regular expression.

    Returns true if this Column matches the specified regular expression.

    For details, see the Snowflake documentation on regular expressions.

    Since

      0.1.0

79.  final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
      AnyRef
80.  def toString(): String

    Returns a string representation of the expression corresponding to this Column instance.

    Returns a string representation of the expression corresponding to this Column instance.

    Definition Classes
      Column → AnyRef → Any
    Since

      0.1.0

81.  def unary_!: Column

    Unary not.

    Unary not.

    Since

      0.1.0

82.  def unary_-: Column

    Unary minus.

    Unary minus.

    Since

      0.1.0

83.  final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
      AnyRef
    Annotations
      @throws( ... )
84.  final def wait(arg0: Long): Unit
    Definition Classes
      AnyRef
    Annotations
      @throws( ... ) @native()
85.  final def wait(): Unit
    Definition Classes
      AnyRef
    Annotations
      @throws( ... )
86.  def withExpr(newExpr: Expression): Column
    Attributes
      protected
87.  def withinGroup(cols: Seq[Column]): Column

    Returns a Column expression that adds a WITHIN GROUP clause to sort the rows by the specified sequence of columns.

    Returns a Column expression that adds a WITHIN GROUP clause to sort the rows by the specified sequence of columns.

    This method is supported on Column expressions returned by some of the aggregate functions, including functions.array_agg, LISTAGG(), PERCENTILE_CONT(), and PERCENTILE_DISC().

    For example:

        import com.snowflake.snowpark.functions._
        import session.implicits._
        // Create a DataFrame from a sequence.
        val df = Seq((3, "v1"), (1, "v3"), (2, "v2")).toDF("a", "b")
        // Create a DataFrame containing the values in "a" sorted by "b".
        df.select(array_agg(col("a")).withinGroup(Seq(col("b"))))
        // Create a DataFrame containing the values in "a" grouped by "b"
        // and sorted by "a" in descending order.
        df.select(
          array_agg(Seq(col("a")))
          .withinGroup(col("a").desc)
          .over(Window.partitionBy(col("b")))
        )

    For details, see the Snowflake documentation for the aggregate function that you are using (e.g. ARRAY_AGG).

    Since

      0.6.0

88.  def withinGroup(first: Column, remaining: Column*): Column

    Returns a Column expression that adds a WITHIN GROUP clause to sort the rows by the specified columns.

    Returns a Column expression that adds a WITHIN GROUP clause to sort the rows by the specified columns.

    This method is supported on Column expressions returned by some of the aggregate functions, including functions.array_agg, LISTAGG(), PERCENTILE_CONT(), and PERCENTILE_DISC().

    For example:

        import com.snowflake.snowpark.functions._
        import session.implicits._
        // Create a DataFrame from a sequence.
        val df = Seq((3, "v1"), (1, "v3"), (2, "v2")).toDF("a", "b")
        // Create a DataFrame containing the values in "a" sorted by "b".
        val dfArrayAgg = df.select(array_agg(col("a")).withinGroup(col("b")))
        // Create a DataFrame containing the values in "a" grouped by "b"
        // and sorted by "a" in descending order.
        var dfArrayAggWindow = df.select(
          array_agg(col("a"))
          .withinGroup(col("a").desc)
          .over(Window.partitionBy(col("b")))
        )

    For details, see the Snowflake documentation for the aggregate function that you are using (e.g. ARRAY_AGG).

    Since

      0.6.0

89.  def ||(other: Any): Column

    Or.

    Or. Alias for or.

    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

### Inherited from Serializable

### Inherited from Product

### Inherited from Equals

### Inherited from Logging

### Inherited from AnyRef

### Inherited from Any

### Expression Operation Functions

### Utility Functions

### Ungrouped