text: mysqldump -u root -p --databases sdc > sdc.sql
  
  alter table filter_el add column user_post varchar(500) after message;
  
  create table fb_filter_assessment(id int auto_increment, meesage text, user_post varchar(2000), filter_status varchar(10), agree_value varchar(10), create_date datetime, primary key(id));
  
  create table training_data(id int auto_increment, user_id varchar(200), 
  post_id varchar(200), poster_name varchar(1000), cred_value varchar(10), likes int, shares int,
  comments int, hashtags int, images int, vdo int, url int, word_in_dict int,
  word_outside_dict int, num_of_number_in_sentense int, app_sender int, share_with_location int, share_with_non_location int, tag_with int, 
  feeling_status int, share_public int, share_only_friend int, 
  word_count int, character_length int, question_mark int, exclamation_mark int,
  create_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP, message text, user_evaluator varchar(1000),
  primary key(id));
  
          lst.append(likes)
          lst.append(comments)
          lst.append(shares)
          lst.append(url)
          lst.append(hashtag)
          lst.append(images)
          lst.append(vdo)
          lst.append(location)
  
  select concat(like_number,',',comment,',', share,',',url,',',tags_number,',',image,',',vdo,',',is_location) from feature_model into outfile '/tmp/fselect.txt';
  
  select rating from feature_model into outfile '/tmp/fresult.txt';
  