System, method, and computer program for identifying foreign keys between distinct tables

A method, comprising:

• determining a plurality of candidate field combinations between a first table and a second table by:
• generating all field combinations between fields of the first table and the second table,
• generating a score for each of the field combinations between the first table and the second table, based on one or more parameters, and
• selecting one or more field combinations of the plurality of field combinations as the plurality of candidate field combinations, based on the score generated for each of the plurality of field combinations, including:
• selecting a field combination as a candidate field combination when the score generated for the field combination exceeds a threshold, or
• selecting a predefined number of top scored field combinations as the plurality of candidate field combinations;
• performing a statistical analysis of values stored in fields of each candidate field combination of the plurality of the candidate field combinations;
• and
• identifying which candidate field combination of the plurality of candidate field combinations represents foreign keys between the first table and the second table, based on a result of the statistical analysis.

A system, comprising:

• a non-transitory memory storing instructions;
• and
• one or more processors in communication with the non-transitory memory that execute the instructions to perform a method comprising:
• determining a plurality of candidate field combinations between a first table and a second table by:
• generating all field combinations between fields of the first table and the second table,
• generating a score for each of the field combinations between the first table and the second table, based on one or more parameters, and
• selecting one or more field combinations of the plurality of field combinations as the plurality of candidate field combinations, based on the score generated for each of the plurality of field combinations, including:
• selecting a field combination as a candidate field combination when the score generated for the field combination exceeds a threshold, or
• selecting a predefined number of top scored field combinations as the plurality of candidate field combinations;
• performing a statistical analysis of values stored in fields of each candidate field combination of the plurality of the candidate field combinations;
• and
• identifying which candidate field combination of the plurality of candidate field combinations represents foreign keys between the first table and the second table, based on a result of the statistical analysis.