SQL and Generic Functions

    Note that any name not known to func generates the function name as is - there is no restriction on what SQL functions can be called, known or unknown to SQLAlchemy, built-in or user defined. The section here only describes those functions where SQLAlchemy already knows what argument and return types are in use.

    See also

    Working with SQL Functions - in the

    SQL function API, factories, and built-in functions.

    class sqlalchemy.sql.functions.``AnsiFunction(\args, **kwargs*)

    Define a function in “ansi” format, which doesn’t render parenthesis.

    Class signature

    class sqlalchemy.sql.functions.AnsiFunction ()

    class sqlalchemy.sql.functions.``Function(name, \clauses, **kw*)

    Describe a named SQL function.

    The Function object is typically generated from the generation object.

    • Parameters

      • *clauses – list of column expressions that form the arguments of the SQL function call.

      • type_ – optional TypeEngine datatype object that will be used as the return value of the column expression generated by this function call.

      • packagenames –

        a string which indicates package prefix names to be prepended to the function name when the SQL is generated. The generator creates these when it is called using dotted format, e.g.:

        1. func.mypackage.some_function(col1, col2)

    See also

    Working with SQL Functions - in the

    func - namespace which produces registered or ad-hoc instances.

    GenericFunction - allows creation of registered function types.

    Class signature

    class (sqlalchemy.sql.functions.FunctionElement)

    • method __init__(name, \clauses, **kw*)

      Construct a Function.

      The construct is normally used to construct new Function instances.

    • attribute type = NullType()

      A TypeEngine object which refers to the SQL return type represented by this SQL function.

      This datatype may be configured when generating a object by passing the Function.type_ parameter, e.g.:

      1. >>> select(func.lower("some VALUE", type_=String))

      The small number of built-in classes of come with a built-in datatype that’s appropriate to the class of function and its arguments. For functions that aren’t known, the type defaults to the “null type”.

    class sqlalchemy.sql.functions.``FunctionAsBinary(fn, left_index, right_index)

    Class signature

    class sqlalchemy.sql.functions.FunctionAsBinary ()

    class sqlalchemy.sql.functions.``FunctionElement(\clauses, **kwargs*)

    Base for SQL function-oriented constructs.

    See also

    Functions - in the Core tutorial

    - named SQL function.

    func - namespace which produces registered or ad-hoc instances.

    GenericFunction - allows creation of registered function types.

    Class signature

    class (sqlalchemy.sql.expression.Executable, , sqlalchemy.sql.expression.FromClause, sqlalchemy.sql.expression.Generative)

    • method __init__(\clauses, **kwargs*)

      Construct a FunctionElement.

      • Parameters

        • *clauses – list of column expressions that form the arguments of the SQL function call.

        • **kwargs – additional kwargs are typically consumed by subclasses.

    1. See also
    3. [`func`]($f62ce11674ae62ed.md#sqlalchemy.sql.expression.func "sqlalchemy.sql.expression.func")
    5. [`Function`](#sqlalchemy.sql.functions.Function "sqlalchemy.sql.functions.Function")

    • method alias(name=None)

      Produce a Alias construct against this .

      Tip

      The FunctionElement.alias() method is part of the mechanism by which “table valued” SQL functions are created. However, most use cases are covered by higher level methods on including FunctionElement.table_valued(), and .

      This construct wraps the function in a named alias which is suitable for the FROM clause, in the style accepted for example by PostgreSQL. A column expression is also provided using the special .column attribute, which may be used to refer to the output of the function as a scalar value in the columns or where clause, for a backend such as PostgreSQL.

      For a full table-valued expression, use the FunctionElement.table_valued() method first to establish named columns.

      e.g.:

      1. >>> from sqlalchemy import func, select, column
      2. >>> data_view = func.unnest([1, 2, 3]).alias("data_view")
      3. >>> print(select(data_view.column))
      4. SELECT data_view
      5. FROM unnest(:unnest_1) AS data_view

      The FunctionElement.column_valued() method provides a shortcut for the above pattern:

      1. >>> data_view = func.unnest([1, 2, 3]).column_valued("data_view")
      2. >>> print(select(data_view))
      3. SELECT data_view
      4. FROM unnest(:unnest_1) AS data_view

      New in version 1.4.0b2: Added the .column accessor

      See also

      - in the SQLAlchemy 1.4 / 2.0 Tutorial

      FunctionElement.scalar_table_valued()

    • method sqlalchemy.sql.functions.FunctionElement.as_comparison(left_index, right_index)

      Interpret this expression as a boolean comparison between two values.

      This method is used for an ORM use case described at .

      A hypothetical SQL function “is_equal()” which compares to values for equality would be written in the Core expression language as:

      1. expr = func.is_equal("a", "b")

      If “is_equal()” above is comparing “a” and “b” for equality, the FunctionElement.as_comparison() method would be invoked as:

      1. expr = func.is_equal("a", "b").as_comparison(1, 2)

      Where above, the integer value “1” refers to the first argument of the “is_equal()” function and the integer value “2” refers to the second.

      This would create a that is equivalent to:

      1. BinaryExpression("a", "b", operator=op.eq)

      However, at the SQL level it would still render as “is_equal(‘a’, ‘b’)”.

      The ORM, when it loads a related object or collection, needs to be able to manipulate the “left” and “right” sides of the ON clause of a JOIN expression. The purpose of this method is to provide a SQL function construct that can also supply this information to the ORM, when used with the relationship.primaryjoin parameter. The return value is a containment object called .

      An ORM example is as follows:

      1. class Venue(Base):
      2.     __tablename__ = 'venue'
      3.     id = Column(Integer, primary_key=True)
      4.     name = Column(String)
      6.     descendants = relationship(
      7.         "Venue",
      8.         primaryjoin=func.instr(
      9.             remote(foreign(name)), name + "/"
      10.         ).as_comparison(1, 2) == 1,
      11.         viewonly=True,
      12.         order_by=name
      13.     )

      Above, the “Venue” class can load descendant “Venue” objects by determining if the name of the parent Venue is contained within the start of the hypothetical descendant value’s name, e.g. “parent1” would match up to “parent1/child1”, but not to “parent2/child1”.

      Possible use cases include the “materialized path” example given above, as well as making use of special SQL functions such as geometric functions to create join conditions.

      • Parameters

        • left_index – the integer 1-based index of the function argument that serves as the “left” side of the expression.

    1. New in version 1.3.
    3. See also
    5. [Custom operators based on SQL functions]($e1f42b7742e49253.md#relationship-custom-operator-sql-function) - example use within the ORM

    • attribute sqlalchemy.sql.functions.FunctionElement.clauses

      Return the underlying which contains the arguments for this FunctionElement.

    • method column_valued(name=None)

      Return this FunctionElement as a column expression that selects from itself as a FROM clause.

      E.g.:

      1. >>> from sqlalchemy import select, func
      2. >>> gs = func.generate_series(1, 5, -1).column_valued()
      3. >>> print(select(gs))
      4. SELECT anon_1
      5. FROM generate_series(:generate_series_1, :generate_series_2, :generate_series_3) AS anon_1

      This is shorthand for:

      1. gs = func.generate_series(1, 5, -1).alias().column

      See also

      - in the SQLAlchemy 1.4 / 2.0 Tutorial

      - in the PostgreSQL documentation

    • attribute sqlalchemy.sql.functions.FunctionElement.columns

      The set of columns exported by this .

      This is a placeholder collection that allows the function to be placed in the FROM clause of a statement:

      The above form is a legacy feature that is now superseded by the fully capable FunctionElement.table_valued() method; see that method for details.

      See also

      - generates table-valued SQL function expressions.

    • method sqlalchemy.sql.functions.FunctionElement.execute()

      Execute this against an embedded ‘bind’.

      Deprecated since version 1.4: The FunctionElement.execute() method is considered legacy as of the 1.x series of SQLAlchemy and will be removed in 2.0. All statement execution in SQLAlchemy 2.0 is performed by the method of Connection, or in the ORM by the method of Session. (Background on SQLAlchemy 2.0 at: )

      This first calls FunctionElement.select() to produce a SELECT construct.

      Note that can be passed to the Connectable.execute() method of Connection or .

    • method sqlalchemy.sql.functions.FunctionElement.over(partition_by=None, order_by=None, rows=None, range_=None)

      Produce an OVER clause against this function.

      Used against aggregate or so-called “window” functions, for database backends that support window functions.

      The expression:

      1. func.row_number().over(order_by='x')

      is shorthand for:

      1. from sqlalchemy import over
      2. over(func.row_number(), order_by='x')

      See for a full description.

      See also

      over()

      - in the SQLAlchemy 1.4 / 2.0 Tutorial

    • method scalar()

      Execute this FunctionElement against an embedded ‘bind’ and return a scalar value.

      Deprecated since version 1.4: The method is considered legacy as of the 1.x series of SQLAlchemy and will be removed in 2.0. Scalar execution in SQLAlchemy 2.0 is performed by the Connection.scalar() method of , or in the ORM by the Session.scalar() method of . (Background on SQLAlchemy 2.0 at: Migrating to SQLAlchemy 2.0)

      This first calls to produce a SELECT construct.

      Note that FunctionElement can be passed to the Connectable.scalar() method of or Engine.

    • method scalar_table_valued(name, type_=None)

      Return a column expression that’s against this FunctionElement as a scalar table-valued expression.

      The returned expression is similar to that returned by a single column accessed off of a construct, except no FROM clause is generated; the function is rendered in the similar way as a scalar subquery.

      E.g.:

      1. >>> from sqlalchemy import func, select
      2. >>> fn = func.jsonb_each("{'k', 'v'}").scalar_table_valued("key")
      3. >>> print(select(fn))
      4. SELECT (jsonb_each(:jsonb_each_1)).key

      New in version 1.4.0b2.

      See also

      FunctionElement.table_valued()

      FunctionElement.column_valued()

    • method select()

      Produce a select() construct against this .

      This is shorthand for:

      1. s = select(function_element)

    • method sqlalchemy.sql.functions.FunctionElement.self_group(against=None)

      Apply a ‘grouping’ to this .

      This method is overridden by subclasses to return a “grouping” construct, i.e. parenthesis. In particular it’s used by “binary” expressions to provide a grouping around themselves when placed into a larger expression, as well as by select() constructs when placed into the FROM clause of another . (Note that subqueries should be normally created using the Select.alias() method, as many platforms require nested SELECT statements to be named).

      As expressions are composed together, the application of is automatic - end-user code should never need to use this method directly. Note that SQLAlchemy’s clause constructs take operator precedence into account - so parenthesis might not be needed, for example, in an expression like x OR (y AND z) - AND takes precedence over OR.

      The base self_group() method of just returns self.

    • method sqlalchemy.sql.functions.FunctionElement.table_valued(\expr, **kw*)

      Return a representation of this FunctionElement with table-valued expressions added.

      e.g.:

      1. >>> fn = (
      2. ...     func.generate_series(1, 5).
      3. ...     table_valued("value", "start", "stop", "step")
      4. ... )
      6. >>> print(select(fn))
      7. SELECT anon_1.value, anon_1.start, anon_1.stop, anon_1.step
      8. FROM generate_series(:generate_series_1, :generate_series_2) AS anon_1
      10. >>> print(select(fn.c.value, fn.c.stop).where(fn.c.value > 2))
      11. SELECT anon_1.value, anon_1.stop
      12. FROM generate_series(:generate_series_1, :generate_series_2) AS anon_1
      13. WHERE anon_1.value > :value_1

      A WITH ORDINALITY expression may be generated by passing the keyword argument “with_ordinality”:

      1. >>> fn = func.generate_series(4, 1, -1).table_valued("gen", with_ordinality="ordinality")
      2. >>> print(select(fn))
      3. SELECT anon_1.gen, anon_1.ordinality
      4. FROM generate_series(:generate_series_1, :generate_series_2, :generate_series_3) WITH ORDINALITY AS anon_1

      • Parameters

        • *expr – A series of string column names that will be added to the .c collection of the resulting construct as columns. column() objects with or without datatypes may also be used.

        • name – optional name to assign to the alias name that’s generated. If omitted, a unique anonymizing name is used.

        • with_ordinality – string name that when present results in the WITH ORDINALITY clause being added to the alias, and the given string name will be added as a column to the .c collection of the resulting .

    1. New in version 1.4.0b2.
    3. See also
    5. [Table-Valued Functions]($cfdc81b69abe0678.md#tutorial-functions-table-valued) - in the [SQLAlchemy 1.4 / 2.0 Tutorial]($2006f9816d864d8d.md#unified-tutorial)
    7. [Table-Valued Functions]($d951abc5c7ad81e4.md#postgresql-table-valued) - in the [PostgreSQL]($d951abc5c7ad81e4.md) documentation
    9. [`FunctionElement.scalar_table_valued()`](#sqlalchemy.sql.functions.FunctionElement.scalar_table_valued "sqlalchemy.sql.functions.FunctionElement.scalar_table_valued") - variant of [`FunctionElement.table_valued()`](#sqlalchemy.sql.functions.FunctionElement.table_valued "sqlalchemy.sql.functions.FunctionElement.table_valued") which delivers the complete table valued expression as a scalar column expression
    11. [`FunctionElement.column_valued()`](#sqlalchemy.sql.functions.FunctionElement.column_valued "sqlalchemy.sql.functions.FunctionElement.column_valued")
    13. [`TableValuedAlias.render_derived()`]($fc2d211e9d1454ca.md#sqlalchemy.sql.expression.TableValuedAlias.render_derived "sqlalchemy.sql.expression.TableValuedAlias.render_derived") - renders the alias using a derived column clause, e.g. `AS name(col1, col2, ...)`

    • method sqlalchemy.sql.functions.FunctionElement.within_group(\order_by*)

      Produce a WITHIN GROUP (ORDER BY expr) clause against this function.

      Used against so-called “ordered set aggregate” and “hypothetical set aggregate” functions, including , rank, , etc.

      See within_group() for a full description.

      New in version 1.1.

      See also

      - in the SQLAlchemy 1.4 / 2.0 Tutorial

    • method within_group_type(within_group)

      For types that define their return type as based on the criteria within a WITHIN GROUP (ORDER BY) expression, called by the WithinGroup construct.

      Returns None by default, in which case the function’s normal .type is used.

    class sqlalchemy.sql.functions.``GenericFunction(\args, **kwargs*)

    Define a ‘generic’ function.

    A generic function is a pre-established class that is instantiated automatically when called by name from the func attribute. Note that calling any name from has the effect that a new Function instance is created automatically, given that name. The primary use case for defining a class is so that a function of a particular name may be given a fixed return type. It can also include custom argument parsing schemes as well as additional methods.

    Subclasses of GenericFunction are automatically registered under the name of the class. For example, a user-defined function as_utc() would be available immediately:

    1. from sqlalchemy.sql.functions import GenericFunction
    2. from sqlalchemy.types import DateTime
    4. class as_utc(GenericFunction):
    5.     type = DateTime
    7. print(select(func.as_utc()))

    User-defined generic functions can be organized into packages by specifying the “package” attribute when defining . Third party libraries containing many functions may want to use this in order to avoid name conflicts with other systems. For example, if our as_utc() function were part of a package “time”:

    1. class as_utc(GenericFunction):
    2.     type = DateTime

    The above function would be available from func using the package name time:

    1. print(select(func.time.as_utc()))

    A final option is to allow the function to be accessed from one name in but to render as a different name. The identifier attribute will override the name used to access the function as loaded from func, but will retain the usage of name as the rendered name:

    The above function will render as follows:

    1. >>> print(func.geo.buffer())
    2. ST_Buffer()

    The name will be rendered as is, however without quoting unless the name contains special characters that require quoting. To force quoting on or off for the name, use the quoted_name construct:

    1. from sqlalchemy.sql import quoted_name
    3. class GeoBuffer(GenericFunction):
    4.     type = Geometry
    5.     package = "geo"
    6.     name = quoted_name("ST_Buffer", True)
    7.     identifier = "buffer"

    The above function will render as:

    1. >>> print(func.geo.buffer())
    2. "ST_Buffer"()

    New in version 1.3.13: The construct is now recognized for quoting when used with the “name” attribute of the object, so that quoting can be forced on or off for the function name.

    Class signature

    class sqlalchemy.sql.functions.GenericFunction ()

    class sqlalchemy.sql.functions.``OrderedSetAgg(\args, **kwargs*)

    Define a function where the return type is based on the sort expression type as defined by the expression passed to the FunctionElement.within_group() method.

    Class signature

    class (sqlalchemy.sql.functions.GenericFunction)

    • method within_group_type(within_group)

      For types that define their return type as based on the criteria within a WITHIN GROUP (ORDER BY) expression, called by the WithinGroup construct.

      Returns None by default, in which case the function’s normal .type is used.

    class sqlalchemy.sql.functions.``ReturnTypeFromArgs(\args, **kwargs*)

    Define a function whose return type is the same as its arguments.

    Class signature

    class (sqlalchemy.sql.functions.GenericFunction)

    class sqlalchemy.sql.functions.``ScalarFunctionColumn(fn, name, type_=None)

    Class signature

    class (sqlalchemy.sql.expression.NamedColumn)

    class sqlalchemy.sql.functions.``array_agg(\args, **kwargs*)

    Support for the ARRAY_AGG function.

    The func.array_agg(expr) construct returns an expression of type ARRAY.

    e.g.:

    1. stmt = select(func.array_agg(table.c.values)[2:5])

    New in version 1.1.

    See also

    - PostgreSQL-specific version that returns ARRAY, which has PG-specific operators added.

    Class signature

    class (sqlalchemy.sql.functions.GenericFunction)

    • attribute type

      alias of sqlalchemy.sql.sqltypes.ARRAY

    class sqlalchemy.sql.functions.``char_length(arg, \*kwargs*)

    The CHAR_LENGTH() SQL function.

    Class signature

    class sqlalchemy.sql.functions.char_length ()

    class sqlalchemy.sql.functions.``coalesce(\args, **kwargs*)

    Class signature

    class (sqlalchemy.sql.functions.ReturnTypeFromArgs)

    class sqlalchemy.sql.functions.``concat(\args, **kwargs*)

    The SQL CONCAT() function, which concatenates strings.

    E.g.:

    1. >>> print(select(func.concat('a', 'b')))
    2. SELECT concat(:concat_2, :concat_3) AS concat_1

    String concatenation in SQLAlchemy is more commonly available using the Python + operator with string datatypes, which will render a backend-specific concatenation operator, such as

    1. >>> print(select(literal("a") + "b"))

    Class signature

    class (sqlalchemy.sql.functions.GenericFunction)

    • attribute type

      alias of sqlalchemy.sql.sqltypes.String

    class sqlalchemy.sql.functions.``count(expression=None, \*kwargs*)

    The ANSI COUNT aggregate function. With no arguments, emits COUNT *.

    E.g.:

    1. from sqlalchemy import func
    2. from sqlalchemy import select
    3. from sqlalchemy import table, column
    5. my_table = table('some_table', column('id'))
    7. stmt = select(func.count()).select_from(my_table)

    Executing stmt would emit:

    1. SELECT count(*) AS count_1
    2. FROM some_table

    Class signature

    class sqlalchemy.sql.functions.count ()

    class sqlalchemy.sql.functions.``cube(\args, **kwargs*)

    Implement the CUBE grouping operation.

    This function is used as part of the GROUP BY of a statement, e.g. :

    1. stmt = select(
    2.     func.sum(table.c.value), table.c.col_1, table.c.col_2
    3. ).group_by(func.cube(table.c.col_1, table.c.col_2))

    New in version 1.2.

    Class signature

    class sqlalchemy.sql.functions.cube ()

    Implement the cume_dist hypothetical-set aggregate function.

    This function must be used with the FunctionElement.within_group() modifier to supply a sort expression to operate upon.

    The return type of this function is .

    New in version 1.1.

    Class signature

    class sqlalchemy.sql.functions.cume_dist ()

    class sqlalchemy.sql.functions.``current_date(\args, **kwargs*)

    The CURRENT_DATE() SQL function.

    Class signature

    class sqlalchemy.sql.functions.current_date ()

    class sqlalchemy.sql.functions.``current_time(\args, **kwargs*)

    The CURRENT_TIME() SQL function.

    Class signature

    class (sqlalchemy.sql.functions.AnsiFunction)

    • attribute type

      alias of sqlalchemy.sql.sqltypes.Time

    class sqlalchemy.sql.functions.``current_timestamp(\args, **kwargs*)

    The CURRENT_TIMESTAMP() SQL function.

    Class signature

    class sqlalchemy.sql.functions.current_timestamp ()

    class sqlalchemy.sql.functions.``current_user(\args, **kwargs*)

    The CURRENT_USER() SQL function.

    Class signature

    class (sqlalchemy.sql.functions.AnsiFunction)

    • attribute type

      alias of sqlalchemy.sql.sqltypes.String

    class sqlalchemy.sql.functions.``dense_rank(\args, **kwargs*)

    Implement the dense_rank hypothetical-set aggregate function.

    This function must be used with the FunctionElement.within_group() modifier to supply a sort expression to operate upon.

    The return type of this function is .

    New in version 1.1.

    Class signature

    class sqlalchemy.sql.functions.dense_rank ()

    class sqlalchemy.sql.functions.``grouping_sets(\args, **kwargs*)

    Implement the GROUPING SETS grouping operation.

    This function is used as part of the GROUP BY of a statement, e.g. Select.group_by():

    1. stmt = select(
    2.     func.sum(table.c.value), table.c.col_1, table.c.col_2
    3. ).group_by(func.grouping_sets(table.c.col_1, table.c.col_2))

    In order to group by multiple sets, use the construct:

    1. from sqlalchemy import tuple_
    3. stmt = select(
    4.     func.sum(table.c.value),
    5.     table.c.col_1, table.c.col_2,
    6.     table.c.col_3
    7. ).group_by(
    8.     func.grouping_sets(
    9.         tuple_(table.c.col_1, table.c.col_2),
    10.         tuple_(table.c.value, table.c.col_3),
    11.     )
    12. )

    New in version 1.2.

    Class signature

    class sqlalchemy.sql.functions.grouping_sets ()

    class sqlalchemy.sql.functions.``localtime(\args, **kwargs*)

    The localtime() SQL function.

    Class signature

    class sqlalchemy.sql.functions.localtime ()

    class sqlalchemy.sql.functions.``localtimestamp(\args, **kwargs*)

    The localtimestamp() SQL function.

    Class signature

    class (sqlalchemy.sql.functions.AnsiFunction)

    • attribute type

      alias of sqlalchemy.sql.sqltypes.DateTime

    class sqlalchemy.sql.functions.``max(\args, **kwargs*)

    The SQL MAX() aggregate function.

    Class signature

    class sqlalchemy.sql.functions.max ()

    class sqlalchemy.sql.functions.``min(\args, **kwargs*)

    The SQL MIN() aggregate function.

    Class signature

    class sqlalchemy.sql.functions.min ()

    class sqlalchemy.sql.functions.``mode(\args, **kwargs*)

    Implement the mode ordered-set aggregate function.

    This function must be used with the FunctionElement.within_group() modifier to supply a sort expression to operate upon.

    The return type of this function is the same as the sort expression.

    New in version 1.1.

    Class signature

    class (sqlalchemy.sql.functions.OrderedSetAgg)

    class sqlalchemy.sql.functions.``next_value(seq, \*kw*)

    Represent the ‘next value’, given a as its single argument.

    Compiles into the appropriate function on each backend, or will raise NotImplementedError if used on a backend that does not provide support for sequences.

    Class signature

    class sqlalchemy.sql.functions.next_value ()

    • method sqlalchemy.sql.functions.next_value.compare(other, \*kw*)

      Compare this to the given ClauseElement.

      Subclasses should override the default behavior, which is a straight identity comparison.

      **kw are arguments consumed by subclass compare() methods and may be used to modify the criteria for comparison (see ).

    class sqlalchemy.sql.functions.``now(\args, **kwargs*)

    The SQL now() datetime function.

    SQLAlchemy dialects will usually render this particular function in a backend-specific way, such as rendering it as CURRENT_TIMESTAMP.

    Class signature

    class sqlalchemy.sql.functions.now ()

    class sqlalchemy.sql.functions.``percent_rank(\args, **kwargs*)

    Implement the percent_rank hypothetical-set aggregate function.

    This function must be used with the modifier to supply a sort expression to operate upon.

    The return type of this function is Numeric.

    New in version 1.1.

    Class signature

    class (sqlalchemy.sql.functions.GenericFunction)

    class sqlalchemy.sql.functions.``percentile_cont(\args, **kwargs*)

    Implement the percentile_cont ordered-set aggregate function.

    This function must be used with the modifier to supply a sort expression to operate upon.

    The return type of this function is the same as the sort expression, or if the arguments are an array, an ARRAY of the sort expression’s type.

    New in version 1.1.

    Class signature

    class (sqlalchemy.sql.functions.OrderedSetAgg)

    class sqlalchemy.sql.functions.``percentile_disc(\args, **kwargs*)

    Implement the percentile_disc ordered-set aggregate function.

    This function must be used with the modifier to supply a sort expression to operate upon.

    The return type of this function is the same as the sort expression, or if the arguments are an array, an ARRAY of the sort expression’s type.

    New in version 1.1.

    Class signature

    class (sqlalchemy.sql.functions.OrderedSetAgg)

    class sqlalchemy.sql.functions.``random(\args, **kwargs*)

    The RANDOM() SQL function.

    Class signature

    class (sqlalchemy.sql.functions.GenericFunction)

    class sqlalchemy.sql.functions.``rank(\args, **kwargs*)

    Implement the rank hypothetical-set aggregate function.

    This function must be used with the modifier to supply a sort expression to operate upon.

    The return type of this function is Integer.

    New in version 1.1.

    Class signature

    class (sqlalchemy.sql.functions.GenericFunction)

    function sqlalchemy.sql.functions.``register_function(identifier, fn, package=’_default’)

    Associate a callable with a particular func. name.

    This is normally called by _GenericMeta, but is also available by itself so that a non-Function construct can be associated with the accessor (i.e. CAST, EXTRACT).

    class sqlalchemy.sql.functions.``rollup(\args, **kwargs*)

    Implement the ROLLUP grouping operation.

    This function is used as part of the GROUP BY of a statement, e.g. Select.group_by():

    1. stmt = select(
    2.     func.sum(table.c.value), table.c.col_1, table.c.col_2
    3. ).group_by(func.rollup(table.c.col_1, table.c.col_2))

    New in version 1.2.

    Class signature

    class (sqlalchemy.sql.functions.GenericFunction)

    class sqlalchemy.sql.functions.``session_user(\args, **kwargs*)

    The SESSION_USER() SQL function.

    Class signature

    class (sqlalchemy.sql.functions.AnsiFunction)

    • attribute type

      alias of sqlalchemy.sql.sqltypes.String

    class sqlalchemy.sql.functions.``sum(\args, **kwargs*)

    The SQL SUM() aggregate function.

    Class signature

    class sqlalchemy.sql.functions.sum ()

    class sqlalchemy.sql.functions.``sysdate(\args, **kwargs*)

    The SYSDATE() SQL function.

    Class signature

    class sqlalchemy.sql.functions.sysdate ()

    class sqlalchemy.sql.functions.``user(\args, **kwargs*)

    The USER() SQL function.

    Class signature

    class (sqlalchemy.sql.functions.AnsiFunction)