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t

org.apache.spark.sql.catalyst.expressions

ExpressionDescription

trait ExpressionDescription extends Annotation

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@DeveloperApi() @Retention()
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  1. abstract def annotationType(): Class[_ <: Annotation]
    Definition Classes
    Annotation
  2. abstract def arguments(): String
    Annotations
    @AnnotationDefault()
  3. abstract def deprecated(): String
    Annotations
    @AnnotationDefault()
  4. abstract def examples(): String
    Annotations
    @AnnotationDefault()
  5. abstract def group(): String

    Valid group names are almost the same with one defined as groupname in sql/functions.scala.

    Valid group names are almost the same with one defined as groupname in sql/functions.scala. But, collection_funcs is split into fine-grained three groups: array_funcs, map_funcs, and json_funcs. See ExpressionInfo for the detailed group names.

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  6. abstract def note(): String
    Annotations
    @AnnotationDefault()
  7. abstract def since(): String
    Annotations
    @AnnotationDefault()
  8. abstract def source(): String
    Annotations
    @AnnotationDefault()
  9. abstract def usage(): String

    ::DeveloperApi::

    ::DeveloperApi::

    A function description type which can be recognized by FunctionRegistry, and will be used to show the usage of the function in human language.

    usage() will be used for the function usage in brief way.

    These below are concatenated and used for the function usage in verbose way, suppose arguments, examples, note, group, source, since and deprecated will be provided.

    arguments() describes arguments for the expression.

    examples() describes examples for the expression.

    note() contains some notes for the expression optionally.

    group() describes the category that the expression belongs to. The valid value is "agg_funcs", "array_funcs", "datetime_funcs", "json_funcs", "map_funcs" and "window_funcs".

    source() describe the source of the function. The valid value is "built-in", "hive", "python_udf", "scala_udf", "java_udf".

    since() contains version information for the expression. Version is specified by, for example, "2.2.0".

    deprecated() contains deprecation information for the expression optionally, for example, "Deprecated since 2.2.0. Use something else instead".

    The format, in particular for arguments(), examples(),note(), group(), source(), since() and deprecated(), should strictly be as follows.

    @ExpressionDescription(
  ...
  arguments = """
    Arguments:
      * arg0 - ...
          ....
      * arg1 - ...
          ....
  """,
  examples = """
    Examples:
      > SELECT ...;
       ...
      > SELECT ...;
       ...
  """,
  note = """
    ...
  """,
  group = "agg_funcs",
  source = "built-in",
  since = "3.0.0",
  deprecated = """
    ...
  """)

    We can refer the function name by _FUNC_, in usage(), arguments(), examples() and note() as it is registered in FunctionRegistry.

    Note that, if extended() is defined, arguments(), examples(), note(), group(), since() and deprecated() should be not defined together. extended() exists for backward compatibility.

    Note this contents are used in the SparkSQL documentation for built-in functions. The contents here are considered as a Markdown text and then rendered.

    Annotations
    @AnnotationDefault()
  10. abstract def extended(): String

    Annotations
    @Deprecated @AnnotationDefault()
    Deprecated

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  6. final def eq(arg0: AnyRef): Boolean
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  9. final def getClass(): Class[_ <: AnyRef]
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  10. def hashCode(): Int
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  11. final def isInstanceOf[T0]: Boolean
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  12. final def ne(arg0: AnyRef): Boolean
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  13. final def notify(): Unit
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  14. final def notifyAll(): Unit
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  15. final def synchronized[T0](arg0: => T0): T0
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  16. def toString(): String
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  17. final def wait(): Unit
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  18. final def wait(arg0: Long, arg1: Int): Unit
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  19. final def wait(arg0: Long): Unit
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