![]() Therefore the key research aspect is to investigate schema flexibility and temporal data integration aspects together. But in monitoring scenarios sensors transmit the data continuously over certain intervals of time and temporal factor is the main property of the data. NoSQL approaches are solutions to these, hence big data solutions are vital nowadays. For schema flexibility, they also want to process and store different data formats along the sequence factor in the data. The next generation systems demand horizontal scaling by distributing data over autonomously addable nodes to a running system. Proliferation of structural, semi-structural and no-structural data, has challenged the scalability, flexibility and processability of the traditional relational database management systems (RDBMS). Nadeem Qaisar Mehmood*, Rosario Culmone and Leonardo of Computer Science, UNICAM, Via del Bastione, 62032 Camerino, Italy Modeling temporal aspects of sensor data for MongoDB NoSQL database _to : raise CreationError ( 'toVertice %s is invalid!' % str ( toVertice )) self. _id elif ( type ( toVertice ) is bytes ) or ( type ( toVertice ) is str ): self. _from : raise CreationError ( 'fromVertice %s is invalid!' % str ( fromVertice )) if isinstance ( toVertice, Document ) or isinstance ( getattr ( toVertice, 'document', None ), Document ): if not toVertice. _id elif ( type ( fromVertice ) is bytes ) or ( type ( fromVertice ) is str ): self. """ if isinstance ( fromVertice, Document ) or isinstance ( getattr ( fromVertice, 'document', None ), Document ): if not fromVertice. It they are unsaved documents, they will be automatically saved. fromVertice and toVertice, can be either strings or documents. ![]() def links ( self, fromVertice, toVertice, ** edgeArgs ): """ An alias to save that updates the _from and _to attributes. join ( privStr ) return " %s ' %s ': %s " % ( self. append ( " %s : %s " % ( p, getattr ( self, p )) ) privStr = ', '. _store ) def _str_ ( self ): return repr ( self ) def _repr_ ( self ): privStr = for p in self. _store = v def _delitem_ ( self, k ): """removes an element from the document""" self. arangoPrivates : setattr ( self, k, v ) else : self. _store def _setitem_ ( self, k, v ): """set an element in the document""" if k in self. ![]() _store def _getattr_ ( self, k ): if not self. arangoPrivates : return getattr ( self, k ) return self. _store def _getitem_ ( self, k ): """get an element from the document""" if k in self. _store : return False return field in self. _store ) def _contains_ ( self, field ): if not self. validators else : vals = return dict ( self. arangoPrivates : if isinstance ( value, dict ): if field in self. def set ( self, dct ): """Set the store using a dictionary""" # if not self.mustValidate: # self.store = dct # self.patchStore = dct # return for field, value in dct. store, dict ): raise ValueError ( "Validator expected a sub document for field ' %s ', got ' %s ' instead" % ( field, self. validators, dict ) and not isinstance ( self. store ) except ValidationError as e : raise ValidationError ( "' %s ' -> %s " % ( field, str ( e )) ) except AttributeError : if isinstance ( self. patchStore ) except ValidationError as e : raise ValidationError ( "' %s ' -> %s " % ( field, str ( e )) ) else : try : return self. _validation : raise SchemaViolation ( self. Def validateField ( self, field ): """Validatie a field""" if field not in self.
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