Data processing apparatus and prediction method of pattern frequency thereof
Provided are data processing apparatus and methods for predicting a pattern frequency thereof. The data processing apparatus includes: a storage unit adapted to store a preset graph pattern, an occurrence frequency of the preset graph pattern, and information on actual data nodes corresponding to each node which belongs to the graph pattern; and a control unit adapted to compare the preset graph pattern with a graph pattern to be searched to perform a graph search, and when the preset graph pattern is not included in the graph to be searched, search for a node shared by two different preset graph patterns which are stored in the storage unit to perform the graph search. By this configuration, it is possible to predict a level of an intermediate result to optimize a graph query and effectively calculate sizes of various graphs patterns while making a capacity of a memory small.
1. A data processing apparatus, comprising:
a storage unit adapted to store a preset graph pattern, an occurrence frequency of the preset graph pattern, and information on actual data nodes corresponding to each node which belongs to the graph pattern; and
a control unit adapted to compare the preset graph pattern with a graph pattern to be searched to perform a graph search, and when the preset graph pattern is not included in the graph to be searched, search for a node shared by two different preset graph patterns which are stored in the storage unit to perform the graph search and when the preset graph pattern is included in the graph to be searched, determine that a pattern distribution corresponding to the preset graph pattern stored in the storage unit is a pattern distribution of the graph pattern to be searched.
2. The data processing apparatus of claim 1 , wherein the graph pattern has a size of a preset value or less.
3. The data processing apparatus of claim 1 , wherein information on the actual data node or a node shared by the graph pattern is stored by a list or a hash structure.
4. The data processing apparatus of claim 1 , wherein the occurrence frequency of the graph pattern to be searched is calculated by multiplying the occurrence frequencies of each of the two preset graph patterns.
5. A method for predicting a pattern frequency of a data processing apparatus, comprising:
storing, by a control unit, a preset graph pattern, an occurrence frequency of the preset graph pattern, and information on actual data nodes corresponding to each node which belongs to the graph pattern;
searching, by the control unit, when the preset graph pattern is not included in a graph to be searched, a node shared by two different preset graph patterns which are stored in a storage unit;
calculating, by the control unit, a pattern distribution of a graph pattern to be searched including two preset patterns which share one node by multiplying values of pattern distributions corresponding to the two preset patterns; and
when the preset graph pattern is included in the graph to be searched, determining, by the control unit, that a pattern distribution corresponding to the preset graph pattern stored in the storage unit is the pattern distribution of the graph pattern to be searched.