<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:

def fetch(self,
              minion_id,
              pillar,  # pylint: disable=W0613
              *args,
              **kwargs):
        '''
        Execute queries, merge and return as a dict.
        '''
        db_name = self._db_name()
        log.info('Querying %s for information for %s', db_name, minion_id)
        #
        #    log.debug('ext_pillar %s args: %s', db_name, args)
        #    log.debug('ext_pillar %s kwargs: %s', db_name, kwargs)
        #
        # Most of the heavy lifting is in this class for ease of testing.
        qbuffer = self.extract_queries(args, kwargs)
        with self._get_cursor() as cursor:
            for root, details in qbuffer:
                # Run the query
                cursor.execute(details['query'], (minion_id,))

                # Extract the field names the db has returned and process them
                self.process_fields([row[0] for row in cursor.description], details['depth'])
                self.enter_root(root)
                self.as_list = details['as_list']
                if details['with_lists']:
                    self.with_lists = details['with_lists']
                else:
                    self.with_lists = []
                self.ignore_null = details['ignore_null']
                self.process_results(cursor.fetchall())

                log.debug('ext_pillar %s: Return data: %s', db_name, self)
        return self.result