find only matched field value in table column in mysql

Question

I want to fetch matched field value from column (key and value) match with key and get column value.

I tried with IF and CASE statement but produce same result The table structure

The table structure

CREATE TABLE `UserInfo` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `user_id` int(11) NOT NULL,
  `key` varchar(200) NOT NULL,
  `value` longtext NOT NULL,
  `created_on` varchar(200) NOT NULL,
  `updated_on` varchar(200) NOT NULL,
  `status` int(11) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=111 DEFAULT CHARSET=latin1;  

insert  into `UserInfo`(`id`,`user_id`,`key`,`value`,`created_on`,`updated_on`,`status`) values (69,11132,'country','India','','',1),(67,11132,'city','Gurgaon','','',1),(68,11132,'state','Haryana','','',1),(66,11132,'address','CyberHub','','',1),(64,11131,'state','Delhi','','',1),(65,11131,'country','India','','',1),(63,11131,'city','','','',1),(62,11131,'address','Lajpat Nagar','','',1),(60,11130,'state','Haryana','','',1),(61,11130,'country','India','','',1),(58,11130,'address','','','',1),(59,11130,'city','Gurgaon','','',1),(787,11130,'password','0192023a7bbd73250516f069df18b500','30-03-2016 06:58:18','30-03-2016 06:58:18',1),(788,11131,'password','04d237e63ebc1acbb3fcacf3e1a846cb','30-03-2016 06:58:18','26-04-2016 07:46:33',1),(789,11132,'password','0192023a7bbd73250516f069df18b500','30-03-2016 06:58:18','24-05-2016 11:47:35',1),(1123,11130,'parent','0','','',1),(1124,11131,'parent','0','','',1),(1125,11132,'parent','0','','',1),(2036,11136,'gcm_id','fLJ8vwS5yWc','04-05-2016 06:01:07','04-05-2016 06:01:07',1),(2035,11136,'push_id','fLJ8vwS5yWc:APA91bFO-hLW5uQqDQTABkilyOd9MzuMRhQMI8uNLRGh4fjaq3Bk1OvFmb7QFVKYpqqJZFPQ78Y1h0349IZuxq0EcxZ8VCHJOTOhhsqi1VxQ2A7TVLY-phDcN6sj80x8R7KoOocQKPLl','04-05-2016 06:01:07','04-05-2016 06:01:07',1),(2993,11570,'transaction_limit','100','16-09-2016 10:34:13','16-09-2016 10:34:13',1),(2992,11570,'otp','461178','16-09-2016 10:32:48','16-09-2016 10:32:48',1),(2991,11570,'password','1e28284f59e926547bb6793ad8723722','16-09-2016 10:32:48','16-09-2016 10:32:48',1),(2990,11570,'imei','353918057482479','16-09-2016 10:32:48','16-09-2016 10:32:48',1),(2989,11570,'push_id','dGxCE33MJgg:APA91bFCzSkvIDEcZcgmmSxVocFNZfLI8owLsdElmF-Et0wUH0mxUbQ9mIZDMjlhqClTOYiSxhSaVBdESwJW6J58hsyEF0LUMgXRTGdnEwWdbHJmm3EZuHDHzniMaJGcCKvALrcxtQt8','16-09-2016 10:32:48','16-09-2016 10:32:48',1),(2987,11570,'gender','Male','16-09-2016 10:32:48','16-09-2016 10:32:48',1),(2026,11136,'gcm_id','fLJ8vwS5yWc','03-05-2016 06:28:52','03-05-2016 06:28:52',1),(2025,11136,'push_id','fLJ8vwS5yWc:APA91bFO-hLW5uQqDQTABkilyOd9MzuMRhQMI8uNLRGh4fjaq3Bk1OvFmb7QFVKYpqqJZFPQ78Y1h0349IZuxq0EcxZ8VCHJOTOhhsqi1VxQ2A7TVLY-phDcN6sj80x8R7KoOocQKPLl','03-05-2016 06:28:52','03-05-2016 06:28:52',1),(2024,11136,'gcm_id','cU6PMImJ9Ms','02-05-2016 17:02:39','02-05-2016 17:02:39',1),(2023,11136,'push_id','cU6PMImJ9Ms:APA91bHA-a_joHtzEBgoAPRxRCXObeJLlCCNSxlCM-jBZKvSUEFvhLZEyqPbbsIDyWc2emZa1yBerOQLGXgzzNKZmcJYCgcF8KBdm9McVBiDKzU_OthjGnROZyTC5EvnI7Z4QivXnokA','02-05-2016 17:02:39','02-05-2016 17:02:39',1),(2022,11136,'gcm_id','cU6PMImJ9Ms','02-05-2016 16:38:55','02-05-2016 16:38:55',1),(2020,11136,'gcm_id','c2sOUeSpIuQ','02-05-2016 16:37:53','02-05-2016 16:37:53',1),(2021,11136,'push_id','cU6PMImJ9Ms:APA91bHA-a_joHtzEBgoAPRxRCXObeJLlCCNSxlCM-jBZKvSUEFvhLZEyqPbbsIDyWc2emZa1yBerOQLGXgzzNKZmcJYCgcF8KBdm9McVBiDKzU_OthjGnROZyTC5EvnI7Z4QivXnokA','02-05-2016 16:38:55','02-05-2016 16:38:55',1),(2019,11136,'push_id','c2sOUeSpIuQ:APA91bGskmvA5VVmxozMHKX3qHc16bdmk9h5gFTEPP8uFUYsO-doGCnkTE-ZtpMGeuuk2YCt3Ja56ey7nIga6aO7wpof2fI5zcgYdFACKvkcddNAlY4UhIO39tfyG3m4DZkmaLqw2Kxu','02-05-2016 16:37:53','02-05-2016 16:37:53',1),(2018,11136,'gcm_id','djRRW-PrS2Q','02-05-2016 16:30:02','02-05-2016 16:30:02',1),(2016,11136,'gcm_id','c2sOUeSpIuQ','02-05-2016 16:25:00','02-05-2016 16:25:00',1),(2017,11136,'push_id','djRRW-PrS2Q:APA91bFbB5SO0wY2TlGCZBmgbZUr0c1FXH5FE22YxOCf4tA7uM1V45T2cTY1aitIQKrf1bjrPB-zZUCDPNdL8-2SYnEawrFTdVjL5w1VuVI2kA89ixlK6jlpmNOoJ7wQnWqQoCFkcd9_','02-05-2016 16:30:02','02-05-2016 16:30:02',1),(2015,11136,'push_id','c2sOUeSpIuQ:APA91bGskmvA5VVmxozMHKX3qHc16bdmk9h5gFTEPP8uFUYsO-doGCnkTE-ZtpMGeuuk2YCt3Ja56ey7nIga6aO7wpof2fI5zcgYdFACKvkcddNAlY4UhIO39tfyG3m4DZkmaLqw2Kxu','02-05-2016 16:25:00','02-05-2016 16:25:00',1),(2014,11136,'gcm_id','djRRW-PrS2Q','01-05-2016 07:38:26','01-05-2016 07:38:26',1),(2013,11136,'push_id','djRRW-PrS2Q:APA91bFbB5SO0wY2TlGCZBmgbZUr0c1FXH5FE22YxOCf4tA7uM1V45T2cTY1aitIQKrf1bjrPB-zZUCDPNdL8-2SYnEawrFTdVjL5w1VuVI2kA89ixlK6jlpmNOoJ7wQnWqQoCFkcd9_','01-05-2016 07:38:26','01-05-2016 07:38:26',1),(2012,11136,'gcm_id','c2sOUeSpIuQ','01-05-2016 07:29:00','01-05-2016 07:29:00',1),(2011,11136,'push_id','c2sOUeSpIuQ:APA91bGskmvA5VVmxozMHKX3qHc16bdmk9h5gFTEPP8uFUYsO-doGCnkTE-ZtpMGeuuk2YCt3Ja56ey7nIga6aO7wpof2fI5zcgYdFACKvkcddNAlY4UhIO39tfyG3m4DZkmaLqw2Kxu','01-05-2016 07:29:00','01-05-2016 07:29:00',1),(2010,11439,'otp','467957','01-05-2016 07:04:42','16-08-2016 10:48:09',0),(2009,11438,'otp','631866','30-04-2016 09:36:54','06-05-2016 13:32:15',0),(2008,11438,'otp','586481','30-04-2016 09:22:55','06-05-2016 13:32:15',0),(2007,11438,'otp','971411','30-04-2016 09:19:52','06-05-2016 13:32:15',0),(2006,11136,'gcm_id','eNJISa-1OGA','30-04-2016 09:05:22','30-04-2016 09:05:22',1),(2005,11136,'push_id','eNJISa-1OGA:APA91bGB6m0d-RzoFUvw1SRsCIOEvfO3BjLUiMsZRdHnHlEGq6QKV9sVqCdLai25_dxTvUeuQVzFU5scKCaPvlDaG_VZ-V51t1AG4EEAtJdjGNQwhITF2eh0E24D_J9vPCQ3nIzanq8f','30-04-2016 09:05:22','30-04-2016 09:05:22',1),(2004,11445,'transaction_limit','2000','30-04-2016 09:03:41','30-04-2016 09:03:41',1),(2003,11445,'otp','230253','30-04-2016 09:02:35','30-04-2016 09:02:35',1),(2002,11445,'password','25d55ad283aa400af464c76d713c07ad','30-04-2016 09:02:35','30-04-2016 09:02:35',1),(2001,11445,'push_id','ccPZg_PD7bo:APA91bFrUK8JPZfI6tSBKDgETeeI_aE6RA-FTFh6pS4fluVv6jHIVKUyDAEurIJWo49nWa52q6Zas7F2DI_KNkDX-HVq_TXuO36dRN9JditQVGR9HUq8avS5QEzYA2gwYjyo7Bosrsyz','30-04-2016 09:02:35','30-04-2016 09:02:35',1),(2000,11445,'gcm_id','ccPZg_PD7bo','30-04-2016 09:02:35','30-04-2016 09:02:35',1),(1999,11445,'gender','Male','30-04-2016 09:02:35','30-04-2016 09:02:35',1),(1998,11445,'bank_name','DCB Bank','30-04-2016 09:02:35','30-04-2016 09:02:35',1),(1997,11136,'gcm_id','cXK3F2L7Fcw','30-04-2016 08:37:01','30-04-2016 08:37:01',1)

I tried with query but its produce null column value as well I want to ignore null value

SELECT
IF(ui.key='gender', ui.value,NULL)  gender,
IF(ui.key='password', ui.value,NULL) PASSWORD,
IF(ui.key='transaction_limit', ui.value,NULL) transaction_limit,

  ui.id,ui.user_id,ui.key,ui.value
FROM UserInfo ui 

Answer 1

You can try using join on the same table Try this one

SELECT ui.id ,ui.user_id,ui.key , ui1.value
FROM UserInfo ui JOIN  UserInfo ui1 ON ui1.key = ui.key;    

Answer 2

This works:

 select
ui.user_id,
max(IF(ui.key='gender', ui.value,NULL))  gender,
max(IF(ui.key='password', ui.value,NULL)) PASSWORD,
max(IF(ui.key='transaction_limit', ui.value,NULL)) transaction_limit

 from UserInfo ui
group by ui.user_id

If you want only users that has values to the gener,PASSWORD and transaction_limit add to the SQL :

having gender IS NOT NULL AND PASSWORD IS NOT NULL AND transaction_limit IS NOT NULL