Data
Dragon has APIs for managing data in a scalable fashion. A prominent member of these APIs is the distributed dictionary. Descriptions and APIs are grouped together for each of the supported Dragon Data Types.
- Distributed Dictionary
- Design
- Performance Considerations
- Checkpointing
- Dictionary Creation
- Retiring and Persisting Checkpoints
- Read Operations
- Write Operations
- Message Flow Between Components
- Python Reference
- dragon.data.ddict.ddict
DDictError
DDictManagerFull
DDictTimeoutError
DDictKeyError
DDictCheckpointSync
strip_pickled_bytes()
DDictManagerStats
DDict
DDict.__init__()
DDict.destroy()
DDict.serialize()
DDict.attach()
DDict.detach()
DDict.__setitem__()
DDict.__getitem__()
DDict.__contains__()
DDict.__len__()
DDict.__delitem__()
DDict.pput()
DDict.keys()
DDict.pop()
DDict.clear()
DDict.values()
DDict.items()
DDict.update()
DDict.popitem()
DDict.copy()
DDict.stats
DDict.checkpoint()
DDict.rollback()
DDict.sync_to_newest_checkpoint()
DDict.current_checkpoint_id
DDict.local_managers()
DDict.local_manager()
DDict.main_manager()
DDict.manager_nodes()
- dragon.data.ddict.ddict
- C Reference
- Messages