Database Schema — SQLAlchemy 0.5.4p2 Documentation

# SQLAlchemy 0.5.4p2 Documentation

Search:
Version: 0.5.4p2 Last Updated: 05/26/2009 16:24:44

# Database Schema

SQLAlchemy schema definition language. For more usage examples, see Database Meta Data.

## Tables and Columns

class `sqlalchemy.schema.` `Column`(*args, **kwargs)

  Bases: `sqlalchemy.schema.SchemaItem`, `sqlalchemy.sql.expression.ColumnClause`

  Represents a column in a database table.

  `__init__`(*args, **kwargs)

    Construct a new `Column` object.

    - Parameters: | name – The name of this column as represented in the database. This argument may be the first positional argument, or specified via keyword. Names which contain no upper case characters will be treated as case insensitive names, and will not be quoted unless they are a reserved word. Names with any number of upper case characters will be quoted and sent exactly. Note that this behavior applies even for databases which standardize upper case names as case insensitive such as Oracle. The name field may be omitted at construction time and applied later, at any time before the Column is associated with a `Table`. This is to support convenient usage within the `declarative` extension. type_ – The column’s type, indicated using an instance which subclasses `AbstractType`. If no arguments are required for the type, the class of the type can be sent as well, e.g.:
          # use a type with arguments
          Column('data', String(50))

          # use no arguments
          Column('level', Integer)
    - The `type` argument may be the second positional argument or specified by keyword. If this column also contains a `ForeignKey`, the type argument may be left as `None` in which case the type assigned will be that of the referenced column. *args – Additional positional arguments include various `SchemaItem` derived constructs which will be applied as options to the column. These include instances of `Constraint`, `ForeignKey`, `ColumnDefault`, and `Sequence`. In some cases an equivalent keyword argument is available such as `server_default`, `default` and `unique`. autoincrement – This flag may be set to `False` to disable SQLAlchemy indicating at the DDL level that an integer primary key column should have autoincrementing behavior. This is an oft misunderstood flag and has no effect whatsoever unless all of the following conditions are met: The column is of the `Integer` datatype. The column has the `primary_key` flag set, or is otherwise a member of a `PrimaryKeyConstraint` on this table. a CREATE TABLE statement is being issued via `create()` or `create_all()`. The flag has no relevance at any other time. The database supports autoincrementing behavior, such as Postgres or MySQL, and this behavior can be disabled (which does not include SQLite). default – A scalar, Python callable, or `ClauseElement` representing the default value for this column, which will be invoked upon insert if this column is otherwise not specified in the VALUES clause of the insert. This is a shortcut to using `ColumnDefault` as a positional argument. Contrast this argument to `server_default` which creates a default generator on the database side. key – An optional string identifier which will identify this `Column` object on the `Table`. When a key is provided, this is the only identifier referencing the `Column` within the application, including ORM attribute mapping; the `name` field is used only when rendering SQL. index – When `True`, indicates that the column is indexed. This is a shortcut for using a `Index` construct on the table. To specify indexes with explicit names or indexes that contain multiple columns, use the `Index` construct instead. info – A dictionary which defaults to `{}`. A space to store application specific data. This must be a dictionary. nullable – If set to the default of `True`, indicates the column will be rendered as allowing NULL, else it’s rendered as NOT NULL. This parameter is only used when issuing CREATE TABLE statements. onupdate – A scalar, Python callable, or `ClauseElement` representing a default value to be applied to the column within UPDATE statements, which wil be invoked upon update if this column is not present in the SET clause of the update. This is a shortcut to using `ColumnDefault` as a positional argument with `for_update=True`. primary_key – If `True`, marks this column as a primary key column. Multiple columns can have this flag set to specify composite primary keys. As an alternative, the primary key of a `Table` can be specified via an explicit `PrimaryKeyConstraint` object. server_default – A `FetchedValue` instance, str, Unicode or `text()` construct representing the DDL DEFAULT value for the column. String types will be emitted as-is, surrounded by single quotes:
          Column('x', Text, server_default="val")

          x TEXT DEFAULT 'val'
      A `text()` expression will be rendered as-is, without quotes:
          Column('y', DateTime, server_default=text('NOW()'))0

          y DATETIME DEFAULT NOW()
    Strings and text() will be converted into a `DefaultClause` object upon initialization. Use `FetchedValue` to indicate that an already-existing column will generate a default value on the database side which will be available to SQLAlchemy for post-fetch after inserts. This construct does not specify any DDL and the implementation is left to the database, such as via a trigger. server_onupdate – A `FetchedValue` instance representing a database-side default generation function. This indicates to SQLAlchemy that a newly generated value will be available after updates. This construct does not specify any DDL and the implementation is left to the database, such as via a trigger. quote – Force quoting of this column’s name on or off, corresponding to `True` or `False`. When left at its default of `None`, the column identifier will be quoted according to whether the name is case sensitive (identifiers with at least one upper case character are treated as case sensitive), or if it’s a reserved word. This flag is only needed to force quoting of a reserved word which is not known by the SQLAlchemy dialect. unique – When `True`, indicates that this column contains a unique constraint, or if `index` is `True` as well, indicates that the `Index` should be created with the unique flag. To specify multiple columns in the constraint/index or to specify an explicit name, use the `UniqueConstraint` or `Index` constructs explicitly.

  `append_foreign_key`(fk)
  `asc`()
    Produce a ASC clause, i.e. `<columnname> ASC`
  `between`(cleft, cright)
    Produce a BETWEEN clause, i.e. `<column> BETWEEN <cleft> AND <cright>`
  `bind`
  `collate`(collation)
    Produce a COLLATE clause, i.e. `<column> COLLATE utf8_bin`
  `compare`(other)

    Compare this ClauseElement to the given ClauseElement.

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

  `compile`(bind=None, column_keys=None, compiler=None, dialect=None, inline=False)

    Compile this SQL expression.

    The return value is a `Compiled` object. Calling str() or unicode() on the returned value will yield a string representation of the result. The `Compiled` object also can return a dictionary of bind parameter names and values using the params accessor.

    Parameters: | bind – An `Engine` or `Connection` from which a `Compiled` will be acquired. This argument takes precedence over this `ClauseElement`‘s bound engine, if any. column_keys – Used for INSERT and UPDATE statements, a list of column names which should be present in the VALUES clause of the compiled statement. If `None`, all columns from the target table object are rendered. compiler – A `Compiled` instance which will be used to compile this expression. This argument takes precedence over the bind and dialect arguments as well as this `ClauseElement`‘s bound engine, if any. dialect – A `Dialect` instance frmo which a `Compiled` will be acquired. This argument takes precedence over the bind argument as well as this `ClauseElement`‘s bound engine, if any. inline – Used for INSERT statements, for a dialect which does not support inline retrieval of newly generated primary key columns, will force the expression used to create the new primary key value to be rendered inline within the INSERT statement’s VALUES clause. This typically refers to Sequence execution but may also refer to any server-side default generation function associated with a primary key Column.

  `concat`(other)
  `contains`(other, escape=None)
    Produce the clause `LIKE '%<other>%'`
  `copy`(**kw)

    Create a copy of this `Column`, unitialized.

    This is used in `Table.tometadata`.

  `desc`()
    Produce a DESC clause, i.e. `<columnname> DESC`
  `distinct`()
    Produce a DISTINCT clause, i.e. `DISTINCT <columnname>`
  `endswith`(other, escape=None)
    Produce the clause `LIKE '%<other>'`
  `execute`(*multiparams, **params)
    Compile and execute this `ClauseElement`.
  `get_children`(schema_visitor=False, **kwargs)
  `ilike`(other, escape=None)
  `in_`(other)
  `info`
  `label`(name)
  `like`(other, escape=None)
  `match`(other)

    Produce a MATCH clause, i.e. `MATCH '<other>'`

    The allowed contents of `other` are database backend specific.

  `op`(operator)

    produce a generic operator function.

    e.g.:

        somecolumn.op("*")(5)

    produces:

        somecolumn * 5

    operator
      a string which will be output as the infix operator between this `ClauseElement` and the expression passed to the generated function.
  `operate`(op, *other, **kwargs)
  `params`(*optionaldict, **kwargs)

    Return a copy with `bindparam()` elments replaced.

    Returns a copy of this ClauseElement with `bindparam()` elements replaced with values taken from the given dictionary:

        >>> clause = column('x') + bindparam('foo')
        >>> print clause.compile().params
        {'foo':None}
        >>> print clause.params({'foo':7}).compile().params
        {'foo':7}

  `references`(column)
    Return True if this Column references the given column via foreign key.
  `reverse_operate`(op, other, **kwargs)
  `scalar`(*multiparams, **params)
    Compile and execute this `ClauseElement`, returning the result’s scalar representation.
  `self_group`(against=None)
  `shares_lineage`(othercolumn)
    Return True if the given `ColumnElement` has a common ancestor to this `ColumnElement`.
  `startswith`(other, escape=None)
    Produce the clause `LIKE '<other>%'`
  `unique_params`(*optionaldict, **kwargs)

    Return a copy with `bindparam()` elments replaced.

    Same functionality as `params()`, except adds unique=True to affected bind parameters so that multiple statements can be used.

class `sqlalchemy.schema.` `MetaData`(bind=None, reflect=False)

  Bases: `sqlalchemy.schema.SchemaItem`

  A collection of Tables and their associated schema constructs.

  Holds a collection of Tables and an optional binding to an `Engine` or `Connection`. If bound, the `Table` objects in the collection and their columns may participate in implicit SQL execution.

  The Table objects themselves are stored in the metadata.tables dictionary.

  The `bind` property may be assigned to dynamically. A common pattern is to start unbound and then bind later when an engine is available:

      metadata = MetaData()
      # define tables
      Table('mytable', metadata, ...)
      # connect to an engine later, perhaps after loading a URL from a
      # configuration file
      metadata.bind = an_engine

  MetaData is a thread-safe object after tables have been explicitly defined or loaded via reflection.

  `__init__`(bind=None, reflect=False)

    Create a new MetaData object.

    bind
      An Engine or Connection to bind to. May also be a string or URL instance, these are passed to create_engine() and this MetaData will be bound to the resulting engine.
    reflect
      Optional, automatically load all tables from the bound database. Defaults to False. `bind` is required when this option is set. For finer control over loaded tables, use the `reflect` method of `MetaData`.
  `append_ddl_listener`(event, listener)

    Append a DDL event listener to this `MetaData`.

    The `listener` callable will be triggered when this `MetaData` is involved in DDL creates or drops, and will be invoked either before all Table-related actions or after.

    Arguments are:

    event
      One of `MetaData.ddl_events`; ‘before-create’, ‘after-create’, ‘before-drop’ or ‘after-drop’.
    listener

      A callable, invoked with three positional arguments:

      event
        The event currently being handled
      schema_item
        The `MetaData` object being operated upon
      bind
        The `Connection` bueing used for DDL execution.

    Listeners are added to the MetaData’s `ddl_listeners` attribute.

    Note: MetaData listeners are invoked even when `Tables` are created in isolation. This may change in a future release. I.e.:

        # triggers all MetaData and Table listeners:
        metadata.create_all()

        # triggers MetaData listeners too:
        some.table.create()

  `bind`

    An Engine or Connection to which this MetaData is bound.

    This property may be assigned an `Engine` or `Connection`, or assigned a string or URL to automatically create a basic `Engine` for this bind with `create_engine()`.

  `clear`()
    Clear all Table objects from this MetaData.
  `connect`(bind, **kwargs)

    Bind this MetaData to an Engine.

    Deprecated. Use `metadata.bind = <engine>` or `metadata.bind = <url>`.

    bind
      A string, `URL`, `Engine` or `Connection` instance. If a string or `URL`, will be passed to `create_engine()` along with `\**kwargs` to produce the engine which to connect to. Otherwise connects directly to the given `Engine`.
  `create_all`(bind=None, tables=None, checkfirst=True)

    Create all tables stored in this metadata.

    Conditional by default, will not attempt to recreate tables already present in the target database.

    bind
      A `Connectable` used to access the database; if None, uses the existing bind on this `MetaData`, if any.
    tables
      Optional list of `Table` objects, which is a subset of the total tables in the `MetaData` (others are ignored).
    checkfirst
      Defaults to True, don’t issue CREATEs for tables already present in the target database.
  `drop_all`(bind=None, tables=None, checkfirst=True)

    Drop all tables stored in this metadata.

    Conditional by default, will not attempt to drop tables not present in the target database.

    bind
      A `Connectable` used to access the database; if None, uses the existing bind on this `MetaData`, if any.
    tables
      Optional list of `Table` objects, which is a subset of the total tables in the `MetaData` (others are ignored).
    checkfirst
      Defaults to True, only issue DROPs for tables confirmed to be present in the target database.
  `is_bound`()
    True if this MetaData is bound to an Engine or Connection.
  `reflect`(bind=None, schema=None, only=None)

    Load all available table definitions from the database.

    Automatically creates `Table` entries in this `MetaData` for any table available in the database but not yet present in the `MetaData`. May be called multiple times to pick up tables recently added to the database, however no special action is taken if a table in this `MetaData` no longer exists in the database.

    bind
      A `Connectable` used to access the database; if None, uses the existing bind on this `MetaData`, if any.
    schema
      Optional, query and reflect tables from an alterate schema.
    only

      Optional. Load only a sub-set of available named tables. May be specified as a sequence of names or a callable.

      If a sequence of names is provided, only those tables will be reflected. An error is raised if a table is requested but not available. Named tables already present in this `MetaData` are ignored.

      If a callable is provided, it will be used as a boolean predicate to filter the list of potential table names. The callable is called with a table name and this `MetaData` instance as positional arguments and should return a true value for any table to reflect.

  `remove`(table)
    Remove the given Table object from this MetaData.
  `sorted_tables`
    Returns a list of `Table` objects sorted in order of dependency.
  `table_iterator`(reverse=True, tables=None)

    Deprecated - use metadata.sorted_tables().

    Deprecated. Use `metadata.sorted_tables`

class `sqlalchemy.schema.` `Table`(name, metadata, *args, **kwargs)

  Bases: `sqlalchemy.schema.SchemaItem`, `sqlalchemy.sql.expression.TableClause`

  Represent a table in a database.

  `__init__`(name, metadata, *args, **kwargs)

    Construct a Table.

    Parameters: | name – The name of this table as represented in the database. This property, along with the schema, indicates the singleton identity of this table in relation to its parent `MetaData`. Additional calls to `Table` with the same name, metadata, and schema name will return the same `Table` object. Names which contain no upper case characters will be treated as case insensitive names, and will not be quoted unless they are a reserved word. Names with any number of upper case characters will be quoted and sent exactly. Note that this behavior applies even for databases which standardize upper case names as case insensitive such as Oracle. metadata – a `MetaData` object which will contain this table. The metadata is used as a point of association of this table with other tables which are referenced via foreign key. It also may be used to associate this table with a particular `Connectable`. *args – Additional positional arguments are used primarily to add the list of `Column` objects contained within this table. Similar to the style of a CREATE TABLE statement, other `SchemaItem` constructs may be added here, including `PrimaryKeyConstraint`, and `ForeignKeyConstraint`. autoload – Defaults to False: the Columns for this table should be reflected from the database. Usually there will be no Column objects in the constructor if this property is set. autoload_with – If autoload==True, this is an optional Engine or Connection instance to be used for the table reflection. If `None`, the underlying MetaData’s bound connectable will be used. include_columns – A list of strings indicating a subset of columns to be loaded via the `autoload` operation; table columns who aren’t present in this list will not be represented on the resulting `Table` object. Defaults to `None` which indicates all columns should be reflected. info – A dictionary which defaults to `{}`. A space to store application specific data. This must be a dictionary. mustexist – When `True`, indicates that this Table must already be present in the given `MetaData`` collection. prefixes – A list of strings to insert after CREATE in the CREATE TABLE statement. They will be separated by spaces. quote – Force quoting of this table’s name on or off, corresponding to `True` or `False`. When left at its default of `None`, the column identifier will be quoted according to whether the name is case sensitive (identifiers with at least one upper case character are treated as case sensitive), or if it’s a reserved word. This flag is only needed to force quoting of a reserved word which is not known by the SQLAlchemy dialect. quote_schema – same as ‘quote’ but applies to the schema identifier. schema – The schema name for this table, which is required if the table resides in a schema other than the default selected schema for the engine’s database connection. Defaults to `None`. useexisting – When `True`, indicates that if this Table is already present in the given `MetaData`, apply further arguments within the constructor to the existing `Table`. If this flag is not set, an error is raised when the parameters of an existing `Table` are overwritten.

  `alias`(name=None)

    return an alias of this `FromClause`.

    For table objects, this has the effect of the table being rendered as `tablename AS aliasname` in a SELECT statement. For select objects, the effect is that of creating a named subquery, i.e. `(select ...) AS aliasname`. The `alias()` method is the general way to create a “subquery” out of an existing SELECT.

    The `name` parameter is optional, and if left blank an “anonymous” name will be generated at compile time, guaranteed to be unique against other anonymous constructs used in the same statement.

  `append_column`(column)
    Append a `Column` to this `Table`.
  `append_constraint`(constraint)
    Append a `Constraint` to this `Table`.
  `append_ddl_listener`(event, listener)

    Append a DDL event listener to this `Table`.

    The `listener` callable will be triggered when this `Table` is created or dropped, either directly before or after the DDL is issued to the database. The listener may modify the Table, but may not abort the event itself.

    Arguments are:

    event
      One of `Table.ddl_events`; e.g. ‘before-create’, ‘after-create’, ‘before-drop’ or ‘after-drop’.
    listener

      A callable, invoked with three positional arguments:

      event
        The event currently being handled
      schema_item
        The `Table` object being created or dropped
      bind
        The `Connection` bueing used for DDL execution.

    Listeners are added to the Table’s `ddl_listeners` attribute.

  `bind`
    Return the connectable associated with this SchemaItem.
  `c`
    Return the collection of Column objects contained by this FromClause.
  `columns`
    Return the collection of Column objects contained by this FromClause.
  `compare`(other)

    Compare this ClauseElement to the given ClauseElement.

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

  `compile`(bind=None, column_keys=None, compiler=None, dialect=None, inline=False)

    Compile this SQL expression.

    The return value is a `Compiled` object. Calling str() or unicode() on the returned value will yield a string representation of the result. The `Compiled` object also can return a dictionary of bind parameter names and values using the params accessor.

    Parameters: | bind – An `Engine` or `Connection` from which a `Compiled` will be acquired. This argument takes precedence over this `ClauseElement`‘s bound engine, if any. column_keys – Used for INSERT and UPDATE statements, a list of column names which should be present in the VALUES clause of the compiled statement. If `None`, all columns from the target table object are rendered. compiler – A `Compiled` instance which will be used to compile this expression. This argument takes precedence over the bind and dialect arguments as well as this `ClauseElement`‘s bound engine, if any. dialect – A `Dialect` instance frmo which a `Compiled` will be acquired. This argument takes precedence over the bind argument as well as this `ClauseElement`‘s bound engine, if any. inline – Used for INSERT statements, for a dialect which does not support inline retrieval of newly generated primary key columns, will force the expression used to create the new primary key value to be rendered inline within the INSERT statement’s VALUES clause. This typically refers to Sequence execution but may also refer to any server-side default generation function associated with a primary key Column.

  `correspond_on_equivalents`(column, equivalents)
    Return corresponding_column for the given column, or if None search for a match in the given dictionary.
  `corresponding_column`(column, require_embedded=False)

    Given a `ColumnElement`, return the exported `ColumnElement` object from this `Selectable` which corresponds to that original `Column` via a common anscestor column.

    Parameters: | column – the target `ColumnElement` to be matched require_embedded – only return corresponding columns for the given `ColumnElement`, if the given `ColumnElement` is actually present within a sub-element of this `FromClause`. Normally the column will match if it merely shares a common anscestor with one of the exported columns of this `FromClause`.

  `count`(whereclause=None, **params)
  `create`(bind=None, checkfirst=False)

    Issue a `CREATE` statement for this table.

    See also `metadata.create_all()`.

  `delete`(whereclause=None, **kwargs)
    Generate a `delete()` construct.
  `drop`(bind=None, checkfirst=False)

    Issue a `DROP` statement for this table.

    See also `metadata.drop_all()`.

  `execute`(*multiparams, **params)
    Compile and execute this `ClauseElement`.
  `exists`(bind=None)
    Return True if this table exists.
  `foreign_keys`
    Return the collection of ForeignKey objects which this FromClause references.
  `get_children`(column_collections=True, schema_visitor=False, **kwargs)
  `info`
  `insert`(values=None, inline=False, **kwargs)
    Generate an `insert()` construct.
  `is_derived_from`(fromclause)

    Return True if this FromClause is ‘derived’ from the given FromClause.

    An example would be an Alias of a Table is derived from that Table.

  `join`(right, onclause=None, isouter=False)
    return a join of this `FromClause` against another `FromClause`.
  `key`
  `outerjoin`(right, onclause=None)
    return an outer join of this `FromClause` against another `FromClause`.
  `params`(*optionaldict, **kwargs)

    Return a copy with `bindparam()` elments replaced.

    Returns a copy of this ClauseElement with `bindparam()` elements replaced with values taken from the given dictionary:

        >>> clause = column('x') + bindparam('foo')
        >>> print clause.compile().params
        {'foo':None}
        >>> print clause.params({'foo':7}).compile().params
        {'foo':7}

  `primary_key`
  `replace_selectable`(old, alias)
    replace all occurences of FromClause ‘old’ with the given Alias object, returning a copy of this `FromClause`.
  `scalar`(*multiparams, **params)
    Compile and execute this `ClauseElement`, returning the result’s scalar representation.
  `select`(whereclause=None, **params)
    return a SELECT of this `FromClause`.
  `self_group`(against=None)
  `tometadata`(metadata, schema=None)
    Return a copy of this `Table` associated with a different `MetaData`.
  `unique_params`(*optionaldict, **kwargs)

    Return a copy with `bindparam()` elments replaced.

    Same functionality as `params()`, except adds unique=True to affected bind parameters so that multiple statements can be used.

  `update`(whereclause=None, values=None, inline=False, **kwargs)
    Generate an `update()` construct.

class `sqlalchemy.schema.` `ThreadLocalMetaData`

  Bases: `sqlalchemy.schema.MetaData`

  A MetaData variant that presents a different `bind` in every thread.

  Makes the `bind` property of the MetaData a thread-local value, allowing this collection of tables to be bound to different `Engine` implementations or connections in each thread.

  The ThreadLocalMetaData starts off bound to None in each thread. Binds must be made explicitly by assigning to the `bind` property or using `connect()`. You can also re-bind dynamically multiple times per thread, just like a regular `MetaData`.

  `__init__`()
    Construct a ThreadLocalMetaData.
  `bind`

    The bound Engine or Connection for this thread.

    This property may be assigned an Engine or Connection, or assigned a string or URL to automatically create a basic Engine for this bind with `create_engine()`.

  `connect`(bind, **kwargs)

    Bind to an Engine in the caller’s thread.

    Deprecated. Use `metadata.bind = <engine>` or `metadata.bind = <url>`.

    bind
      A string, `URL`, `Engine` or `Connection` instance. If a string or `URL`, will be passed to `create_engine()` along with `\**kwargs` to produce the engine which to connect to. Otherwise connects directly to the given `Engine`.
  `dispose`()
    Dispose all bound engines, in all thread contexts.
  `is_bound`()
    True if there is a bind for this thread.

## Constraints

class `sqlalchemy.schema.` `CheckConstraint`(sqltext, name=None, deferrable=None, initially=None)

  Bases: `sqlalchemy.schema.Constraint`

  A table- or column-level CHECK constraint.

  Can be included in the definition of a Table or Column.

  `__init__`(sqltext, name=None, deferrable=None, initially=None)

    Construct a CHECK constraint.

    sqltext
      A string containing the constraint definition. Will be used verbatim.
    name
      Optional, the in-database name of the constraint.
    deferrable
      Optional bool. If set, emit DEFERRABLE or NOT DEFERRABLE when issuing DDL for this constraint.
    initially
      Optional string. If set, emit INITIALLY <value> when issuing DDL for this constraint.
  `copy`(**kw)

class `sqlalchemy.schema.` `Constraint`(name=None, deferrable=None, initially=None)

  Bases: `sqlalchemy.schema.SchemaItem`

  A table-level SQL constraint, such as a KEY.

  Implements a hybrid of dict/setlike behavior with regards to the list of underying columns.

  `__init__`(name=None, deferrable=None, initially=None)

    Create a SQL constraint.

    name
      Optional, the in-database name of this `Constraint`.
    deferrable
      Optional bool. If set, emit DEFERRABLE or NOT DEFERRABLE when issuing DDL for this constraint.
    initially
      Optional string. If set, emit INITIALLY <value> when issuing DDL for this constraint.
  `contains_column`(col)
  `copy`(**kw)
  `keys`()

class `sqlalchemy.schema.` `ForeignKey`(column, constraint=None, use_alter=False, name=None, onupdate=None, ondelete=None, deferrable=None, initially=None, link_to_name=False)

  Bases: `sqlalchemy.schema.SchemaItem`

  Defines a column-level FOREIGN KEY constraint between two columns.

  `ForeignKey` is specified as an argument to a `Column` object, e.g.:

      t = Table("remote_table", metadata,
          Column("remote_id", ForeignKey("main_table.id"))
      )

  For a composite (multiple column) FOREIGN KEY, use a `ForeignKeyConstraint` object specified at the level of the `Table`.

  Further examples of foreign key configuration are in Defining Foreign Keys.

  `__init__`(column, constraint=None, use_alter=False, name=None, onupdate=None, ondelete=None, deferrable=None, initially=None, link_to_name=False)

    Construct a column-level FOREIGN KEY.

    Parameters: | column – A single target column for the key relationship. A `Column` object or a column name as a string: `tablename.columnkey` or `schema.tablename.columnkey`. `columnkey` is the `key` which has been assigned to the column (defaults to the column name itself), unless `link_to_name` is `True` in which case the rendered name of the column is used. constraint – Optional. A parent `ForeignKeyConstraint` object. If not supplied, a `ForeignKeyConstraint` will be automatically created and added to the parent table. name – Optional string. An in-database name for the key if constraint is not provided. onupdate – Optional string. If set, emit ON UPDATE <value> when issuing DDL for this constraint. Typical values include CASCADE, DELETE and RESTRICT. ondelete – Optional string. If set, emit ON DELETE <value> when issuing DDL for this constraint. Typical values include CASCADE, DELETE and RESTRICT. deferrable – Optional bool. If set, emit DEFERRABLE or NOT DEFERRABLE when issuing DDL for this constraint. initially – Optional string. If set, emit INITIALLY <value> when issuing DDL for this constraint. link_to_name – if True, the string name given in `column` is the rendered name of the referenced column, not its locally assigned `key`. use_alter – If True, do not emit this key as part of the CREATE TABLE definition. Instead, use ALTER TABLE after table creation to add the key. Useful for circular dependencies.

  `copy`(schema=None)
    Produce a copy of this ForeignKey object.
  `get_referent`(table)

    Return the column in the given table referenced by this ForeignKey.

    Returns None if this `ForeignKey` does not reference the given table.

  `references`(table)
    Return True if the given table is referenced by this ForeignKey.
  `target_fullname`

class `sqlalchemy.schema.` `ForeignKeyConstraint`(columns, refcolumns, name=None, onupdate=None, ondelete=None, use_alter=False, deferrable=None, initially=None, link_to_name=False)

  Bases: `sqlalchemy.schema.Constraint`

  A table-level FOREIGN KEY constraint.

  Defines a single column or composite FOREIGN KEY ... REFERENCES constraint. For a no-frills, single column foreign key, adding a `ForeignKey` to the definition of a `Column` is a shorthand equivalent for an unnamed, single column `ForeignKeyConstraint`.

  Examples of foreign key configuration are in Defining Foreign Keys.

  `__init__`(columns, refcolumns, name=None, onupdate=None, ondelete=None, use_alter=False, deferrable=None, initially=None, link_to_name=False)

    Construct a composite-capable FOREIGN KEY.

    Parameters: | columns – A sequence of local column names. The named columns must be defined and present in the parent Table. The names should match the `key` given to each column (defaults to the name) unless `link_to_name` is True. refcolumns – A sequence of foreign column names or Column objects. The columns must all be located within the same Table. name – Optional, the in-database name of the key. onupdate – Optional string. If set, emit ON UPDATE <value> when issuing DDL for this constraint. Typical values include CASCADE, DELETE and RESTRICT. ondelete – Optional string. If set, emit ON DELETE <value> when issuing DDL for this constraint. Typical values include CASCADE, DELETE and RESTRICT. deferrable – Optional bool. If set, emit DEFERRABLE or NOT DEFERRABLE when issuing DDL for this constraint. initially – Optional string. If set, emit INITIALLY <value> when issuing DDL for this constraint. link_to_name – if True, the string name given in `column` is the rendered name of the referenced column, not its locally assigned `key`. use_alter – If True, do not emit this key as part of the CREATE TABLE definition. Instead, use ALTER TABLE after table creation to add the key. Useful for circular dependencies.

  `append_element`(col, refcol)
  `copy`(**kw)

class `sqlalchemy.schema.` `Index`(name, *columns, **kwargs)

  Bases: `sqlalchemy.schema.SchemaItem`

  A table-level INDEX.

  Defines a composite (one or more column) INDEX. For a no-frills, single column index, adding `index=True` to the `Column` definition is a shorthand equivalent for an unnamed, single column Index.

  `__init__`(name, *columns, **kwargs)

    Construct an index object.

    Arguments are:

    name
      The name of the index
    *columns
      Columns to include in the index. All columns must belong to the same table, and no column may appear more than once.
    **kwargs

      Keyword arguments include:

      unique
        Defaults to False: create a unique index.
      postgres_where
        Defaults to None: create a partial index when using PostgreSQL
  `append_column`(column)
  `create`(bind=None)
  `drop`(bind=None)

class `sqlalchemy.schema.` `PrimaryKeyConstraint`(*columns, **kwargs)

  Bases: `sqlalchemy.schema.Constraint`

  A table-level PRIMARY KEY constraint.

  Defines a single column or composite PRIMARY KEY constraint. For a no-frills primary key, adding `primary_key=True` to one or more `Column` definitions is a shorthand equivalent for an unnamed single- or multiple-column PrimaryKeyConstraint.

  `__init__`(*columns, **kwargs)

    Construct a composite-capable PRIMARY KEY.

    *columns
      A sequence of column names. All columns named must be defined and present within the parent Table.
    name
      Optional, the in-database name of the key.
    deferrable
      Optional bool. If set, emit DEFERRABLE or NOT DEFERRABLE when issuing DDL for this constraint.
    initially
      Optional string. If set, emit INITIALLY <value> when issuing DDL for this constraint.
  `add`(col)
  `append_column`(col)
  `copy`(**kw)
  `remove`(col)
  `replace`(col)

class `sqlalchemy.schema.` `UniqueConstraint`(*columns, **kwargs)

  Bases: `sqlalchemy.schema.Constraint`

  A table-level UNIQUE constraint.

  Defines a single column or composite UNIQUE constraint. For a no-frills, single column constraint, adding `unique=True` to the `Column` definition is a shorthand equivalent for an unnamed, single column UniqueConstraint.

  `__init__`(*columns, **kwargs)

    Construct a UNIQUE constraint.

    *columns
      A sequence of column names. All columns named must be defined and present within the parent Table.
    name
      Optional, the in-database name of the key.
    deferrable
      Optional bool. If set, emit DEFERRABLE or NOT DEFERRABLE when issuing DDL for this constraint.
    initially
      Optional string. If set, emit INITIALLY <value> when issuing DDL for this constraint.
  `append_column`(col)
  `copy`(**kw)

## Default Generators and Markers

class `sqlalchemy.schema.` `ColumnDefault`(arg, **kwargs)

  Bases: `sqlalchemy.schema.DefaultGenerator`

  A plain default value on a column.

  This could correspond to a constant, a callable function, or a SQL clause.

  `__init__`(arg, **kwargs)

class `sqlalchemy.schema.` `DefaultClause`(arg, for_update=False)

  Bases: `sqlalchemy.schema.FetchedValue`

  A DDL-specified DEFAULT column value.

class `sqlalchemy.schema.` `DefaultGenerator`(for_update=False, metadata=None)

  Bases: `sqlalchemy.schema.SchemaItem`

  Base class for column default values.

  `__init__`(for_update=False, metadata=None)
  `execute`(bind=None, **kwargs)

class `sqlalchemy.schema.` `FetchedValue`(for_update=False)

  Bases: `object`

  A default that takes effect on the database side.

  `__init__`(for_update=False)

`sqlalchemy.schema.` `PassiveDefault`
  alias of `DefaultClause`

class `sqlalchemy.schema.` `Sequence`(name, start=None, increment=None, schema=None, optional=False, quote=None, **kwargs)

  Bases: `sqlalchemy.schema.DefaultGenerator`

  Represents a named database sequence.

  `__init__`(name, start=None, increment=None, schema=None, optional=False, quote=None, **kwargs)
  `create`(bind=None, checkfirst=True)
    Creates this sequence in the database.
  `drop`(bind=None, checkfirst=True)
    Drops this sequence from the database.

## DDL

class `sqlalchemy.schema.` `DDL`(statement, on=None, context=None, bind=None)

  Bases: `object`

  A literal DDL statement.

  Specifies literal SQL DDL to be executed by the database. DDL objects can be attached to `Tables` or `MetaData` instances, conditionally executing SQL as part of the DDL lifecycle of those schema items. Basic templating support allows a single DDL instance to handle repetitive tasks for multiple tables.

  Examples:

      tbl = Table('users', metadata, Column('uid', Integer)) # ...
      DDL('DROP TRIGGER users_trigger').execute_at('before-create', tbl)

      spow = DDL('ALTER TABLE %(table)s SET secretpowers TRUE', on='somedb')
      spow.execute_at('after-create', tbl)

      drop_spow = DDL('ALTER TABLE users SET secretpowers FALSE')
      connection.execute(drop_spow)

  `__init__`(statement, on=None, context=None, bind=None)

    Create a DDL statement.

    statement

      A string or unicode string to be executed. Statements will be processed with Python’s string formatting operator. See the `context` argument and the `execute_at` method.

      A literal ‘%’ in a statement must be escaped as ‘%%’.

      SQL bind parameters are not available in DDL statements.

    on

      Optional filtering criteria. May be a string or a callable predicate. If a string, it will be compared to the name of the executing database dialect:

          DDL('something', on='postgres')

      If a callable, it will be invoked with three positional arguments:

      > event
      >   The name of the event that has triggered this DDL, such as ‘after-create’ Will be None if the DDL is executed explicitly.
      > schema_item
      >   A SchemaItem instance, such as `Table` or `MetaData`. May be None if the DDL is executed explicitly.
      > connection
      >   The `Connection` being used for DDL execution

      If the callable returns a true value, the DDL statement will be executed.

    context
      Optional dictionary, defaults to None. These values will be available for use in string substitutions on the DDL statement.
    bind
      Optional. A `Connectable`, used by default when `execute()` is invoked without a bind argument.
  `bind`

    An Engine or Connection to which this DDL is bound.

    This property may be assigned an `Engine` or `Connection`, or assigned a string or URL to automatically create a basic `Engine` for this bind with `create_engine()`.

  `execute`(bind=None, schema_item=None)

    Execute this DDL immediately.

    Executes the DDL statement in isolation using the supplied `Connectable` or `Connectable` assigned to the `.bind` property, if not supplied. If the DDL has a conditional `on` criteria, it will be invoked with None as the event.

    bind
      Optional, an `Engine` or `Connection`. If not supplied, a valid `Connectable` must be present in the `.bind` property.
    schema_item
      Optional, defaults to None. Will be passed to the `on` callable criteria, if any, and may provide string expansion data for the statement. See `execute_at` for more information.
  `execute_at`(event, schema_item)

    Link execution of this DDL to the DDL lifecycle of a SchemaItem.

    Links this `DDL` to a `Table` or `MetaData` instance, executing it when that schema item is created or dropped. The DDL statement will be executed using the same Connection and transactional context as the Table create/drop itself. The `.bind` property of this statement is ignored.

    event
      One of the events defined in the schema item’s `.ddl_events`; e.g. ‘before-create’, ‘after-create’, ‘before-drop’ or ‘after-drop’
    schema_item
      A Table or MetaData instance

    When operating on Table events, the following additional `statement` string substitions are available:

        %(table)s  - the Table name, with any required quoting applied
        %(schema)s - the schema name, with any required quoting applied
        %(fullname)s - the Table name including schema, quoted if needed

    The DDL’s `context`, if any, will be combined with the standard substutions noted above. Keys present in the context will override the standard substitutions.

    A DDL instance can be linked to any number of schema items. The statement subsitution support allows for DDL instances to be used in a template fashion.

    `execute_at` builds on the `append_ddl_listener` interface of MetaDta and Table objects.

    Caveat: Creating or dropping a Table in isolation will also trigger any DDL set to `execute_at` that Table’s MetaData. This may change in a future release.

## Internals

class `sqlalchemy.schema.` `SchemaItem`

  Bases: `sqlalchemy.sql.visitors.Visitable`

  Base class for items that define a database schema.

  `bind`
    Return the connectable associated with this SchemaItem.
  `get_children`(**kwargs)
    used to allow SchemaVisitor access
  `info`

class `sqlalchemy.schema.` `SchemaVisitor`

  Bases: `sqlalchemy.sql.visitors.ClauseVisitor`

  Define the visiting for `SchemaItem` objects.