The ceilometer.storage.sqlalchemy.models ModuleΒΆ

SQLAlchemy models for Ceilometer data.

class ceilometer.storage.sqlalchemy.models.Alarm(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Define Alarm data.

class ceilometer.storage.sqlalchemy.models.AlarmChange(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Define AlarmChange data.

class ceilometer.storage.sqlalchemy.models.CeilometerBase[source]

Bases: object

Base class for Ceilometer Models.

CeilometerBase.update(values)[source]

Make the model object behave like a dict.

class ceilometer.storage.sqlalchemy.models.Event(message_id, event_type, generated)[source]

Bases: sqlalchemy.ext.declarative.api.Base

class ceilometer.storage.sqlalchemy.models.EventType(event_type)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Types of event records.

class ceilometer.storage.sqlalchemy.models.FullSample(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Mapper model.

It’s needed as many of the filters work against raw data which is split between Meter, Sample, and Resource tables

class ceilometer.storage.sqlalchemy.models.JSONEncodedDict(*args, **kwargs)[source]

Bases: sqlalchemy.sql.type_api.TypeDecorator

Represents an immutable structure as a json-encoded string.

JSONEncodedDict.impl

alias of String

JSONEncodedDict.process_bind_param(value, dialect)[source]
JSONEncodedDict.process_result_value(value, dialect)[source]
class ceilometer.storage.sqlalchemy.models.MetaBigInt(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Metering integer metadata.

class ceilometer.storage.sqlalchemy.models.MetaBool(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Metering boolean metadata.

class ceilometer.storage.sqlalchemy.models.MetaFloat(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Metering float metadata.

class ceilometer.storage.sqlalchemy.models.MetaText(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Metering text metadata.

class ceilometer.storage.sqlalchemy.models.Meter(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Meter definition data.

class ceilometer.storage.sqlalchemy.models.PreciseTimestamp(*args, **kwargs)[source]

Bases: sqlalchemy.sql.type_api.TypeDecorator

Represents a timestamp precise to the microsecond.

PreciseTimestamp.impl

alias of DateTime

PreciseTimestamp.load_dialect_impl(dialect)[source]
PreciseTimestamp.process_bind_param(value, dialect)[source]
PreciseTimestamp.process_result_value(value, dialect)[source]
class ceilometer.storage.sqlalchemy.models.Resource(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Resource data.

class ceilometer.storage.sqlalchemy.models.Sample(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Metering data.

class ceilometer.storage.sqlalchemy.models.Trait(trait_type, event, t_string=None, t_float=None, t_int=None, t_datetime=None)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Trait.get_value()[source]
class ceilometer.storage.sqlalchemy.models.TraitType(desc, data_type)[source]

Bases: sqlalchemy.ext.declarative.api.Base

Types of event traits.

A trait type includes a description and a data type. Uniqueness is enforced compositely on the data_type and desc fields. This is to accommodate cases, such as ‘generated’, which, depending on the corresponding event, could be a date, a boolean, or a float.

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