Drizzle — SQLAlchemy 0.7.1 Documentation

# SQLAlchemy 0.7.1 Documentation

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Version: 0.7.1 Last Updated: 06/05/2011 13:13:59

# Drizzle

Support for the Drizzle database.

## Supported Versions and Features

SQLAlchemy supports the Drizzle database starting with 2010.08. with capabilities increasing with more modern servers.

Most available DBAPI drivers are supported; see below.

Feature | Minimum Version
--- | ---
sqlalchemy.orm | 2010.08
Table Reflection | 2010.08
DDL Generation | 2010.08
utf8/Full Unicode Connections | 2010.08
Transactions | 2010.08
Two-Phase Transactions | 2010.08
Nested Transactions | 2010.08

See the official Drizzle documentation for detailed information about features supported in any given server release.

## Connecting

See the API documentation on individual drivers for details on connecting.

## Connection Timeouts

Drizzle features an automatic connection close behavior, for connections that have been idle for eight hours or more. To circumvent having this issue, use the `pool_recycle` option which controls the maximum age of any connection:

    engine = create_engine('drizzle+mysqldb://...', pool_recycle=3600)

## Storage Engines

Drizzle defaults to the `InnoDB` storage engine, which is transactional.

Storage engines can be elected when creating tables in SQLAlchemy by supplying a `drizzle_engine='whatever'` to the `Table` constructor. Any Drizzle table creation option can be specified in this syntax:

    Table('mytable', metadata,
          Column('data', String(32)),
          drizzle_engine='InnoDB',
         )

## Keys

Not all Drizzle storage engines support foreign keys. For `BlitzDB` and similar engines, the information loaded by table reflection will not include foreign keys. For these tables, you may supply a `ForeignKeyConstraint` at reflection time:

    Table('mytable', metadata,
          ForeignKeyConstraint(['other_id'], ['othertable.other_id']),
          autoload=True
         )

When creating tables, SQLAlchemy will automatically set `AUTO_INCREMENT` on an integer primary key column:

    >>> t = Table('mytable', metadata,
    ...   Column('mytable_id', Integer, primary_key=True)
    ... )
    >>> t.create()
    CREATE TABLE mytable (
            id INTEGER NOT NULL AUTO_INCREMENT,
            PRIMARY KEY (id)
    )

You can disable this behavior by supplying `autoincrement=False` to the `Column`. This flag can also be used to enable auto-increment on a secondary column in a multi-column key for some storage engines:

    Table('mytable', metadata,
          Column('gid', Integer, primary_key=True, autoincrement=False),
          Column('id', Integer, primary_key=True)
         )

## Drizzle SQL Extensions

Many of the Drizzle SQL extensions are handled through SQLAlchemy’s generic function and operator support:

    table.select(table.c.password==func.md5('plaintext'))
    table.select(table.c.username.op('regexp')('^[a-d]'))

And of course any valid Drizzle statement can be executed as a string as well.

Some limited direct support for Drizzle extensions to SQL is currently available.

- SELECT pragma:

      select(..., prefixes=['HIGH_PRIORITY', 'SQL_SMALL_RESULT'])

- UPDATE with LIMIT:

      update(..., drizzle_limit=10)

## Drizzle Data Types

As with all SQLAlchemy dialects, all UPPERCASE types that are known to be valid with Drizzle are importable from the top level dialect:

    from sqlalchemy.dialects.drizzle import \
            BIGINT, BINARY, BLOB, BOOLEAN, CHAR, DATE, DATETIME,
            DECIMAL, DOUBLE, ENUM, FLOAT, INT, INTEGER,
            NUMERIC, TEXT, TIME, TIMESTAMP, VARBINARY, VARCHAR

Types which are specific to Drizzle, or have Drizzle-specific construction arguments, are as follows:

class `sqlalchemy.dialects.drizzle.` `BIGINT`(**kw)

  Bases: `sqlalchemy.types.BIGINT`

  Drizzle BIGINTEGER type.

  `__init__`(**kw)

    Construct a BIGINTEGER.

class `sqlalchemy.dialects.drizzle.` `CHAR`(length=None, **kwargs)

  Bases: `sqlalchemy.dialects.drizzle.base._StringType`, `sqlalchemy.types.CHAR`

  Drizzle CHAR type, for fixed-length character data.

  `__init__`(length=None, **kwargs)

    Construct a CHAR.

    Parameters: | length – Maximum data length, in characters. binary – Optional, use the default binary collation for the national character set. This does not affect the type of data stored, use a BINARY type for binary data. collation – Optional, request a particular collation. Must be compatible with the national character set.

class `sqlalchemy.dialects.drizzle.` `DECIMAL`(precision=None, scale=None, asdecimal=True, **kw)

  Bases: `sqlalchemy.dialects.drizzle.base._NumericType`, `sqlalchemy.types.DECIMAL`

  Drizzle DECIMAL type.

  `__init__`(precision=None, scale=None, asdecimal=True, **kw)

    Construct a DECIMAL.

    Parameters: | precision – Total digits in this number. If scale and precision are both None, values are stored to limits allowed by the server. scale – The number of digits after the decimal point.

class `sqlalchemy.dialects.drizzle.` `DOUBLE`(precision=None, scale=None, asdecimal=True, **kw)

  Bases: `sqlalchemy.dialects.drizzle.base._FloatType`

  Drizzle DOUBLE type.

  `__init__`(precision=None, scale=None, asdecimal=True, **kw)

    Construct a DOUBLE.

    Parameters: | precision – Total digits in this number. If scale and precision are both None, values are stored to limits allowed by the server. scale – The number of digits after the decimal point.

class `sqlalchemy.dialects.drizzle.` `ENUM`(*enums, **kw)

  Bases: `sqlalchemy.dialects.mysql.base.ENUM`

  Drizzle ENUM type.

  `__init__`(*enums, **kw)

    Construct an ENUM.

    Example:

    > Column(‘myenum’, ENUM(“foo”, “bar”, “baz”))

    Parameters: | enums – The range of valid values for this ENUM. Values will be quoted when generating the schema according to the quoting flag (see below). strict – Defaults to False: ensure that a given value is in this ENUM’s range of permissible values when inserting or updating rows. Note that Drizzle will not raise a fatal error if you attempt to store an out of range value- an alternate value will be stored instead. (See Drizzle ENUM documentation.) collation – Optional, a column-level collation for this string value. Takes precedence to ‘binary’ short-hand. binary – Defaults to False: short-hand, pick the binary collation type that matches the column’s character set. Generates BINARY in schema. This does not affect the type of data stored, only the collation of character data. quoting – Defaults to ‘auto’: automatically determine enum value quoting. If all enum values are surrounded by the same quoting character, then use ‘quoted’ mode. Otherwise, use ‘unquoted’ mode. ‘quoted’: values in enums are already quoted, they will be used directly when generating the schema - this usage is deprecated. ‘unquoted’: values in enums are not quoted, they will be escaped and surrounded by single quotes when generating the schema. Previous versions of this type always required manually quoted values to be supplied; future versions will always quote the string literals for you. This is a transitional option.

class `sqlalchemy.dialects.drizzle.` `FLOAT`(precision=None, scale=None, asdecimal=False, **kw)

  Bases: `sqlalchemy.dialects.drizzle.base._FloatType`, `sqlalchemy.types.FLOAT`

  Drizzle FLOAT type.

  `__init__`(precision=None, scale=None, asdecimal=False, **kw)

    Construct a FLOAT.

    Parameters: | precision – Total digits in this number. If scale and precision are both None, values are stored to limits allowed by the server. scale – The number of digits after the decimal point.

class `sqlalchemy.dialects.drizzle.` `INTEGER`(**kw)

  Bases: `sqlalchemy.types.INTEGER`

  Drizzle INTEGER type.

  `__init__`(**kw)

    Construct an INTEGER.

class `sqlalchemy.dialects.drizzle.` `NUMERIC`(precision=None, scale=None, asdecimal=True, **kw)

  Bases: `sqlalchemy.dialects.drizzle.base._NumericType`, `sqlalchemy.types.NUMERIC`

  Drizzle NUMERIC type.

  `__init__`(precision=None, scale=None, asdecimal=True, **kw)

    Construct a NUMERIC.

    Parameters: | precision – Total digits in this number. If scale and precision are both None, values are stored to limits allowed by the server. scale – The number of digits after the decimal point.

class `sqlalchemy.dialects.drizzle.` `REAL`(precision=None, scale=None, asdecimal=True, **kw)

  Bases: `sqlalchemy.dialects.drizzle.base._FloatType`, `sqlalchemy.types.REAL`

  Drizzle REAL type.

  `__init__`(precision=None, scale=None, asdecimal=True, **kw)

    Construct a REAL.

    Parameters: | precision – Total digits in this number. If scale and precision are both None, values are stored to limits allowed by the server. scale – The number of digits after the decimal point.

class `sqlalchemy.dialects.drizzle.` `TEXT`(length=None, **kw)

  Bases: `sqlalchemy.dialects.drizzle.base._StringType`, `sqlalchemy.types.TEXT`

  Drizzle TEXT type, for text up to 2^16 characters.

  `__init__`(length=None, **kw)

    Construct a TEXT.

    Parameters: | length – Optional, if provided the server may optimize storage by substituting the smallest TEXT type sufficient to store `length` characters. collation – Optional, a column-level collation for this string value. Takes precedence to ‘binary’ short-hand. binary – Defaults to False: short-hand, pick the binary collation type that matches the column’s character set. Generates BINARY in schema. This does not affect the type of data stored, only the collation of character data.

class `sqlalchemy.dialects.drizzle.` `TIMESTAMP`(timezone=False)

  Bases: `sqlalchemy.types.TIMESTAMP`

  Drizzle TIMESTAMP type.

class `sqlalchemy.dialects.drizzle.` `VARCHAR`(length=None, **kwargs)

  Bases: `sqlalchemy.dialects.drizzle.base._StringType`, `sqlalchemy.types.VARCHAR`

  Drizzle VARCHAR type, for variable-length character data.

  `__init__`(length=None, **kwargs)

    Construct a VARCHAR.

    Parameters: | collation – Optional, a column-level collation for this string value. Takes precedence to ‘binary’ short-hand. binary – Defaults to False: short-hand, pick the binary collation type that matches the column’s character set. Generates BINARY in schema. This does not affect the type of data stored, only the collation of character data.

## MySQL-Python Notes

Support for the Drizzle database via the Drizzle-python adapter.

Drizzle-Python is available at:

> http://sourceforge.net/projects/mysql-python

At least version 1.2.1 or 1.2.2 should be used.

### Connecting

Connect string format:

    drizzle+mysqldb://<user>:<password>@<host>[:<port>]/<dbname>

### Character Sets

Drizzle is all utf8 all the time.

### Known Issues

Drizzle-python at least as of version 1.2.2 has a serious memory leak related to unicode conversion, a feature which is disabled via `use_unicode=0`. The recommended connection form with SQLAlchemy is:

    engine = create_engine('mysql://scott:tiger@localhost/test?charset=utf8&use_unicode=0', pool_recycle=3600)