case class TableFunction(funcName: String) extends Product with Serializable
Looks up table functions by funcName and returns tableFunction object which can be used in DataFrame.join and Session.tableFunction methods.
It can reference both system-defined table function and user-defined table functions.
Example
import com.snowflake.snowpark.functions._ import com.snowflake.snowpark.TableFunction session.tableFunction( TableFunction("flatten"), Map("input" -> parse_json(lit("[1,2]"))) ) df.join(TableFunction("split_to_table"), df("a"), lit(","))
- funcName
table function name, can be a short name like func or a fully qualified name like database.schema.func
- Since
0.4.0
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- TableFunction
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Instance Constructors
- new TableFunction(funcName: String)
- funcName
table function name, can be a short name like func or a fully qualified name like database.schema.func
Value Members
- final def !=(arg0: Any): Boolean
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- def apply(args: Map[String, Column]): Column
Create a Column reference by passing arguments in the TableFunction object.
Create a Column reference by passing arguments in the TableFunction object.
- args
function arguments map of the given table function. Some functions, like flatten, have named parameters. use this map to assign values to the corresponding parameters.
- returns
A Column reference
- Since
1.10.0
- def apply(args: Column*): Column
Create a Column reference by passing arguments in the TableFunction object.
Create a Column reference by passing arguments in the TableFunction object.
- args
A list of Column objects representing the arguments of the given table function
- returns
A Column reference
- Since
1.10.0
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- val funcName: String
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- Deprecated
(Since version 9)