MySQL - How to find the rows with the greatest value changes? - mysql

I am trying to search a table where I have daily ranked keywords (SEO keywords). Therefore I have index on a key_id per keyword, and new position value per each keyword.
I would like to find out how I can select the keywords that have the greatest change in value?
MariaDB Table and data:
CREATE TABLE IF NOT EXISTS `daily_rank` (
`rankID` int(24) NOT NULL AUTO_INCREMENT,
`created` timestamp NULL DEFAULT current_timestamp(),
`key_id` int(100) NOT NULL DEFAULT 0,
`position` int(12) NOT NULL DEFAULT 0,
`keyword` varchar(50) NOT NULL DEFAULT '0',
PRIMARY KEY (`rankID`),
KEY `created` (`created`),
KEY `key_id` (`key_id`)
) ENGINE=InnoDB AUTO_INCREMENT=3594 DEFAULT CHARSET=latin1;
INSERT INTO `daily_rank` (`rankID`, `created`, `key_id`, `position`, `keyword`) VALUES
(3594, '2019-10-09 17:59:07', 53, 4, 'SEO'),
(3595, '2019-10-09 17:59:07', 100, 3, 'agency'),
(3596, '2019-10-09 17:59:07', 397, 1, 'bureau marketing'),
(3597, '2019-10-09 17:59:07', 798, 7, 'marketing agency'),
(3598, '2019-10-09 17:59:07', 98, 8, 'search engine optimization'),
(3599, '2019-10-09 17:59:07', 346, 8, 'website optimization'),
(3600, '2019-10-09 17:59:07', 555, 9, 'agency'),
(3608, '2019-10-08 18:07:00', 53, 4, 'SEO'),
(3609, '2019-10-08 18:07:00', 100, 4, 'agency'),
(3610, '2019-10-08 18:07:00', 397, 3, 'bureau marketing'),
(3611, '2019-10-08 18:07:00', 798, 1, 'marketing agency'),
(3612, '2019-10-08 18:07:00', 98, 2, 'search engine optimization'),
(3613, '2019-10-08 18:07:00', 346, 2, 'website optimization'),
(3614, '2019-10-08 18:07:00', 555, 2, 'agency'),
(3615, '2019-10-07 18:07:22', 53, 4, 'SEO'),
(3616, '2019-10-07 18:07:22', 100, 6, 'agency'),
(3617, '2019-10-07 18:07:22', 397, 6, 'bureau marketing'),
(3618, '2019-10-07 18:07:22', 798, 6, 'marketing agency'),
(3619, '2019-10-07 18:07:22', 98, 4, 'search engine optimization'),
(3620, '2019-10-07 18:07:22', 346, 6, 'website optimization'),
(3621, '2019-10-07 18:07:22', 555, 6, 'agency'),
(3622, '2019-10-07 18:07:22', 53, 5, 'SEO'),
(3623, '2019-10-07 18:07:22', 100, 4, 'agency'),
(3624, '2019-10-07 18:07:22', 397, 5, 'bureau marketing'),
(3625, '2019-10-07 18:07:22', 798, 3, 'marketing agency'),
(3626, '2019-10-07 18:07:22', 98, 6, 'search engine optimization'),
(3627, '2019-10-07 18:07:22', 346, 3, 'website optimization'),
(3628, '2019-10-07 18:07:22', 555, 5, 'agency'),
(3629, '2019-10-06 18:07:44', 53, 1, 'SEO'),
(3630, '2019-10-06 18:07:44', 100, 2, 'agency'),
(3631, '2019-10-06 18:07:44', 397, 2, 'bureau marketing'),
(3632, '2019-10-06 18:07:44', 798, 1, 'marketing agency'),
(3633, '2019-10-06 18:07:44', 98, 1, 'search engine optimization'),
(3634, '2019-10-06 18:07:44', 346, 2, 'website optimization'),
(3635, '2019-10-06 18:07:44', 555, 2, 'agency'),
(3636, '2019-10-06 18:07:44', 53, 2, 'SEO'),
(3637, '2019-10-06 18:07:44', 100, 2, 'agency'),
(3638, '2019-10-06 18:07:44', 397, 3, 'bureau marketing'),
(3639, '2019-10-06 18:07:44', 798, 2, 'marketing agency'),
(3640, '2019-10-06 18:07:44', 98, 2, 'search engine optimization'),
(3641, '2019-10-06 18:07:44', 346, 1, 'website optimization'),
(3642, '2019-10-06 18:07:44', 555, 1, 'agency'),
(3643, '2019-10-06 18:07:44', 53, 1, 'SEO'),
(3644, '2019-10-06 18:07:44', 100, 2, 'agency'),
(3645, '2019-10-06 18:07:44', 397, 1, 'bureau marketing'),
(3646, '2019-10-06 18:07:44', 798, 3, 'marketing agency'),
(3647, '2019-10-06 18:07:44', 98, 2, 'search engine optimization'),
(3648, '2019-10-06 18:07:44', 346, 1, 'website optimization'),
(3649, '2019-10-06 18:07:44', 555, 3, 'agency'),
(3650, '2019-10-06 18:07:44', 53, 3, 'SEO'),
(3651, '2019-10-06 18:07:44', 100, 1, 'agency'),
(3652, '2019-10-06 18:07:44', 397, 2, 'bureau marketing'),
(3653, '2019-10-06 18:07:44', 798, 3, 'marketing agency'),
(3654, '2019-10-06 18:07:44', 98, 1, 'search engine optimization'),
(3655, '2019-10-06 18:07:44', 346, 2, 'website optimization'),
(3656, '2019-10-06 18:07:44', 555, 1, 'agency');
How do I query so I can get the latest position for the keywords, and the change from a given date, and order the result to show the keywords with the greatest change?
I imagine a table like this:
[Keyword] - [Todays Position] - [Position Change from yesterday]
where it is ordered by the biggest change descending
UPDATE:
When calculating max-min the todays position is within this calculation, and will skew the result somewhat.
And when viewing todays position, I would like to see the keywords that have had the biggest change in position since compared date.


I think this is what you want.
SELECT a.keyword, a.position as today_position, b.biggest_position_change_since_yesterday
FROM daily_rank a
JOIN
(SELECT keyword, MAX(position) - MIN(position) AS biggest_position_change_since_yesterday
FROM daily_rank
WHERE cast(created as date) >= ADDDATE(curdate(),-1)
GROUP BY keyword) b
ON b.keyword = a.keyword
AND cast(created as date) = curdate()
ORDER by biggest_position_change_since_yesterday desc;
keyword today_position biggest_position_change_since_yesterday
agency 9 7
agency 3 7
website optimization 8 6
marketing agency 7 6
search engine optimization 8 6
bureau marketing 1 2
SEO 4 0
Test Case:
DB<>FIDDLE


SELECT keyword, MAX(position) max_position,MIN(position) min_position FROM daily_rank GROUP BY keyword;
+----------------------------+--------------+--------------+
| keyword | max_position | min_position |
+----------------------------+--------------+--------------+
| agency | 9 | 1 |
| bureau marketing | 6 | 1 |
| marketing agency | 7 | 1 |
| search engine optimization | 8 | 1 |
| SEO | 5 | 1 |
| website optimization | 8 | 1 |
+----------------------------+--------------+--------------+

Related

Need mysql query to find total sum as per matched query

I need to find sum of specific columns as per matched some of columns value in database table.
Please check mysql table that i use :
CREATE TABLE IF NOT EXISTS `plant_production_items` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`plant_production_id` int(11) NOT NULL,
`materialid` int(11) NOT NULL,
`packaging_id` int(11) NOT NULL,
`grade_id` int(11) NOT NULL,
`slabs` int(11) NOT NULL,
PRIMARY KEY (`id`),
KEY `material_purchase_id` (`plant_production_id`),
KEY `grade_id` (`grade_id`),
KEY `packaging_id` (`packaging_id`),
KEY `slabs` (`slabs`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=104 ;
Value are as under :
INSERT INTO `plant_production_items` (`id`, `plant_production_id`, `materialid`, `packaging_id`, `grade_id`, `slabs`) VALUES
(5, 4, 22, 85, 29, 4444),
(6, 5, 22, 14, 25, 3234),
(8, 6, 27, 21, 60, 4444),
(11, 8, 22, 85, 29, 44444),
(19, 7, 22, 84, 29, 434),
(75, 10, 26, 0, 51, 1233),
(76, 10, 24, 17, 34, 251),
(78, 10, 26, 0, 46, 3234),
(91, 9, 27, 21, 57, 1000),
(92, 9, 27, 21, 57, 2000),
(93, 3, 23, 16, 32, 5000),
(94, 3, 27, 21, 54, 3233),
(101, 3, 27, 21, 0, 700),
(103, 3, 29, 27, 0, 6666);
I want total sum of 'slabs' columns as per unique value founded in following column :
plant_production_id
materialid
packaging_id
grade_id
In short we need to find combination of all 4 values of above and need to show total sum of 'slabs' column.
For example :
there are two records which are same:
(91, 9, 27, 21, 57, 1000),
(92, 9, 27, 21, 57, 2000),
so here i want to get total sum i.e 1000+2000 = 3000
Out put should be all columns with total slabs. It is not required we need to match all above 4 columns. Actually we need to find all total slabs as per total records found same with above 4 column.
If still not clear then let me know.

You can use GROUP BY like this:
SELECT
plant_production_id,
materialidm,
packaging_id,
grade_id,
SUM(`slabs`) slabs_sum
FROM plant_production_items
GROUP BY plant_production_id, materialidm, packaging_id, grade_id;
So it gives the sum of the slabs for rows with the same values for columns grouped by.

Mysql query to increase counter or marker by one for every empty record..?

I have a table structure as shown below, with columns id, number. I want to add column counter with desired output given below..like 1,1,1,1 then counter needs to be incremented by 1 on every empty row.
So for next rows it should be 2,2,2,2... until next empty rows, and so on. How to write query for this??
Any help would be appreciated.. thanks in advance..
Table structure:
CREATE TABLE `stack`
(
`id` int(11) NOT NULL auto_increment,
`number` int(5) default NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=300 ;
--
-- Dumping data for table `stack`
--
INSERT INTO `stack` (`id`, `number`) VALUES
(1, 75201),
(2, 55008),
(3, 55007),
(4, 75222),
(5, 0),
(6, 74992),
(7, 14553),
(8, 54582),
(9, 54581),
(10, 74991),
(11, 14554),
(12, 0),
(13, 71413),
(14, 71414),
(15, 71415),
(16, 71416),
(17, 0),
(18, 59823),
(19, 59824),
(20, 59821),
(21, 59825),
(22, 59826),
(23, 0),
(24, 58220),
(25, 58702),
(26, 18247),
(27, 51753),
(28, 12854),
(29, 15160),
(30, 18248),
(31, 51606),
(32, 18478),
(33, 68747),
(34, 68749),
(35, 58221),
(36, 18233),
(37, 15159),
(38, 18234),
(39, 58701),
(40, 58222),
(41, 68748),
(42, 51754),
(43, 18477),
(44, 51605),
(45, 68750),
(46, 18235),
(47, 18235),
(48, 12853),
(49, 18236),
(50, 0),
(51, 56617),
(52, 16349),
(53, 56612),
(54, 56614),
(55, 56613),
(56, 56616),
(57, 56362),
(58, 56611),
(59, 56363),
(60, 56610),
(61, 56619),
(62, 56620),
(63, 56621),
(64, 16350),
(65, 0),
(66, 64590),
(67, 64153),
(68, 64162),
(69, 64588),
(70, 64587),
(71, 64156),
(72, 64159),
(73, 64589),
(74, 0),
(75, 19152),
(76, 59425),
(77, 12959),
(78, 59426),
(79, 19151),
(80, 12960),
(81, 0),
(82, 54809),
(83, 54810),
(84, 54826),
(85, 14813),
(86, 54703),
(87, 74835),
(88, 74836),
(89, 54704),
(90, 14814),
(91, 54825),
(92, 0),
(93, 56700),
(94, 16128),
(95, 56319),
(96, 56718),
(97, 16723),
(98, 16724),
(99, 56717),
(100, 56320),
(101, 16127),
(102, 56701),
(103, 0),
(104, 56261),
(105, 22625),
(106, 12691),
(107, 16086),
(108, 12639),
(109, 12680),
(110, 22649),
(111, 12609),
(112, 12679),
(113, 12640),
(114, 66020),
(115, 16089),
(116, 17616),
(117, 12687),
(118, 66019),
(119, 16220),
(120, 12675),
(121, 12608),
(122, 16219),
(123, 16021),
(124, 22650),
(125, 12692),
(126, 12610),
(127, 7115),
(128, 56262),
(129, 16022),
(130, 12688),
(131, 22626),
(132, 22688),
(133, 12607),
(134, 16090),
(135, 12676),
(136, 16085),
(137, 17615),
(138, 12687),
(139, 22687),
(140, 7116),
(141, 0),
(142, 38716),
(143, 38455),
(144, 38302),
(145, 38703),
(146, 38402),
(147, 38404),
(148, 38304),
(149, 38702),
(150, 38803),
(151, 38406),
(152, 38306),
(153, 38408),
(154, 38704),
(155, 38101),
(156, 38401),
(157, 38805),
(158, 38410),
(159, 38403),
(160, 38301),
(161, 38802),
(162, 38051),
(163, 38412),
(164, 38308),
(165, 38807),
(166, 38102),
(167, 38405),
(168, 38706),
(169, 38414),
(170, 38707),
(171, 38310),
(172, 38407),
(173, 38202),
(174, 38303),
(175, 38409),
(176, 38416),
(177, 38809),
(178, 38104),
(179, 38708),
(180, 38204),
(181, 38105),
(182, 38710),
(183, 38811),
(184, 38420),
(185, 38413),
(186, 38415),
(187, 38422),
(188, 38601),
(189, 38106),
(190, 38810),
(191, 38813),
(192, 38424),
(193, 38417),
(194, 38312),
(195, 38419),
(196, 38426),
(197, 38305),
(198, 38709),
(199, 38428),
(200, 38711),
(201, 38812),
(202, 38421),
(203, 38602),
(204, 38501),
(205, 38713),
(206, 38430),
(207, 58002),
(208, 38307),
(209, 38432),
(210, 38814),
(211, 38717),
(212, 38423),
(213, 38434),
(214, 38819),
(215, 38314),
(216, 38425),
(217, 38816),
(218, 38719),
(219, 38316),
(220, 38436),
(221, 38318),
(222, 38818),
(223, 38502),
(224, 38429),
(225, 38718),
(226, 38431),
(227, 38720),
(228, 38438),
(229, 38820),
(230, 38107),
(231, 38721),
(232, 38440),
(233, 38722),
(234, 38109),
(235, 38435),
(236, 68007),
(237, 38201),
(238, 38442),
(239, 38309),
(240, 38437),
(241, 38108),
(242, 38444),
(243, 38311),
(244, 38446),
(245, 38110),
(246, 38441),
(247, 38448),
(248, 38206),
(249, 38723),
(250, 38724),
(251, 38313),
(252, 38450),
(253, 38726),
(254, 38315),
(255, 38445),
(256, 38452),
(257, 38447),
(258, 38826),
(259, 38317),
(260, 38831),
(261, 38728),
(262, 38449),
(263, 38725),
(264, 38454),
(265, 38828),
(266, 38451),
(267, 38727),
(268, 38456),
(269, 38319),
(270, 38453),
(271, 38830),
(272, 38321),
(273, 0),
(274, 19016),
(275, 59050),
(276, 59547),
(277, 59548),
(278, 59049),
(279, 19015),
(280, 0),
(281, 52171),
(282, 52174),
(283, 52172),
(284, 52173),
(285, 0),
(286, 12343),
(287, 55713),
(288, 55749),
(289, 75718),
(290, 7525),
(291, 55750),
(292, 7526),
(293, 75722),
(294, 55751),
(295, 55714),
(296, 75717),
(297, 75721),
(298, 12344),
(299, 55752);
Desired output i want:
CREATE TABLE `stack` (
`id` int(11) NOT NULL auto_increment,
`counter` int(5) NOT NULL,
`number` int(5) default NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=300 ;
--
-- Dumping data for table `stack`
--
INSERT INTO `stack` (`id`, `counter`, `number`) VALUES
(1, 1, 75201),
(2, 1, 55008),
(3, 1, 55007),
(4, 1, 75222),
(5, 2, 0),
(6, 2, 74992),
(7, 2, 14553),
(8, 2, 54582),
(9, 2, 54581),
(10, 2, 74991),
(11, 2, 14554),
(12, 3, 0),
(13, 3, 71413),
(14, 3, 71414),
(15, 3, 71415),
(16, 3, 71416),
(17, 4, 0),
(18, 4, 59823),
(19, 4, 59824),
(20, 4, 59821),
(21, 4, 59825),
(22, 4, 59826),
(23, 5, 0),
(24, 5, 58220),
(25, 5, 58702),
(26, 5, 18247),
(27, 5, 51753),
(28, 5, 12854),
(29, 5, 15160),
(30, 5, 18248),
(31, 5, 51606),
(32, 5, 18478),
(33, 5, 68747),
(34, 5, 68749),
(35, 5, 58221),
(36, 5, 18233),
(37, 5, 15159),
(38, 5, 18234),
(39, 5, 58701),
(40, 5, 58222),
(41, 5, 68748),
(42, 5, 51754),
(43, 5, 18477),
(44, 5, 51605),
(45, 5, 68750),
(46, 5, 18235),
(47, 5, 18235),
(48, 5, 12853),
(49, 5, 18236),
(50, 6, 0),
(51, 6, 56617),
(52, 6, 16349),
(53, 6, 56612),
(54, 6, 56614),
(55, 6, 56613),
(56, 6, 56616),
(57, 6, 56362),
(58, 6, 56611),
(59, 6, 56363),
(60, 6, 56610),
(61, 6, 56619),
(62, 6, 56620),
(63, 6, 56621),
(64, 6, 16350),
(65, 7, 0),
(66, 7, 64590),
(67, 7, 64153),
(68, 7, 64162),
(69, 7, 64588),
(70, 7, 64587),
(71, 7, 64156),
(72, 7, 64159),
(73, 7, 64589),
(74, 8, 0),
(75, 8, 19152),
(76, 8, 59425),
(77, 8, 12959),
(78, 8, 59426),
(79, 8, 19151),
(80, 8, 12960),
(81, 9, 0),
(82, 9, 54809),
(83, 9, 54810),
(84, 9, 54826),
(85, 9, 14813),
(86, 9, 54703),
(87, 9, 74835),
(88, 9, 74836),
(89, 9, 54704),
(90, 9, 14814),
(91, 9, 54825),
(92, 10, 0),
(93, 10, 56700),
(94, 10, 16128),
(95, 10, 56319),
(96, 10, 56718),
(97, 10, 16723),
(98, 10, 16724),
(99, 10, 56717),
(100, 10, 56320),
(101, 10, 16127),
(102, 10, 56701),
(103, 11, 0),
(104, 11, 56261),
(105, 11, 22625),
(106, 11, 12691),
(107, 11, 16086),
(108, 11, 12639),
(109, 11, 12680),
(110, 11, 22649),
(111, 11, 12609),
(112, 11, 12679),
(113, 11, 12640),
(114, 11, 66020),
(115, 11, 16089),
(116, 11, 17616),
(117, 11, 12687),
(118, 11, 66019),
(119, 11, 16220),
(120, 11, 12675),
(121, 11, 12608),
(122, 11, 16219),
(123, 11, 16021),
(124, 11, 22650),
(125, 11, 12692),
(126, 11, 12610),
(127, 11, 7115),
(128, 11, 56262),
(129, 11, 16022),
(130, 11, 12688),
(131, 11, 22626),
(132, 11, 22688),
(133, 11, 12607),
(134, 11, 16090),
(135, 11, 12676),
(136, 11, 16085),
(137, 11, 17615),
(138, 11, 12687),
(139, 11, 22687),
(140, 11, 7116),
(141, 12, 0),
(142, 12, 38716),
(143, 12, 38455),
(144, 12, 38302),
(145, 12, 38703),
(146, 12, 38402),
(147, 12, 38404),
(148, 12, 38304),
(149, 12, 38702),
(150, 12, 38803),
(151, 12, 38406),
(152, 12, 38306),
(153, 12, 38408),
(154, 12, 38704),
(155, 12, 38101),
(156, 12, 38401),
(157, 12, 38805),
(158, 12, 38410),
(159, 12, 38403),
(160, 12, 38301),
(161, 12, 38802),
(162, 12, 38051),
(163, 12, 38412),
(164, 12, 38308),
(165, 12, 38807),
(166, 12, 38102),
(167, 12, 38405),
(168, 12, 38706),
(169, 12, 38414),
(170, 12, 38707),
(171, 12, 38310),
(172, 12, 38407),
(173, 12, 38202),
(174, 12, 38303),
(175, 12, 38409),
(176, 12, 38416),
(177, 12, 38809),
(178, 12, 38104),
(179, 12, 38708),
(180, 12, 38204),
(181, 12, 38105),
(182, 12, 38710),
(183, 12, 38811),
(184, 12, 38420),
(185, 12, 38413),
(186, 12, 38415),
(187, 12, 38422),
(188, 12, 38601),
(189, 12, 38106),
(190, 12, 38810),
(191, 12, 38813),
(192, 12, 38424),
(193, 12, 38417),
(194, 12, 38312),
(195, 12, 38419),
(196, 12, 38426),
(197, 12, 38305),
(198, 12, 38709),
(199, 12, 38428),
(200, 12, 38711),
(201, 12, 38812),
(202, 12, 38421),
(203, 12, 38602),
(204, 12, 38501),
(205, 12, 38713),
(206, 12, 38430),
(207, 12, 58002),
(208, 12, 38307),
(209, 12, 38432),
(210, 12, 38814),
(211, 12, 38717),
(212, 12, 38423),
(213, 12, 38434),
(214, 12, 38819),
(215, 12, 38314),
(216, 12, 38425),
(217, 12, 38816),
(218, 12, 38719),
(219, 12, 38316),
(220, 12, 38436),
(221, 12, 38318),
(222, 12, 38818),
(223, 12, 38502),
(224, 12, 38429),
(225, 12, 38718),
(226, 12, 38431),
(227, 12, 38720),
(228, 12, 38438),
(229, 12, 38820),
(230, 12, 38107),
(231, 12, 38721),
(232, 12, 38440),
(233, 12, 38722),
(234, 12, 38109),
(235, 12, 38435),
(236, 12, 68007),
(237, 12, 38201),
(238, 12, 38442),
(239, 12, 38309),
(240, 12, 38437),
(241, 12, 38108),
(242, 12, 38444),
(243, 12, 38311),
(244, 12, 38446),
(245, 12, 38110),
(246, 12, 38441),
(247, 12, 38448),
(248, 12, 38206),
(249, 12, 38723),
(250, 12, 38724),
(251, 12, 38313),
(252, 12, 38450),
(253, 12, 38726),
(254, 12, 38315),
(255, 12, 38445),
(256, 12, 38452),
(257, 12, 38447),
(258, 12, 38826),
(259, 12, 38317),
(260, 12, 38831),
(261, 12, 38728),
(262, 12, 38449),
(263, 12, 38725),
(264, 12, 38454),
(265, 12, 38828),
(266, 12, 38451),
(267, 12, 38727),
(268, 12, 38456),
(269, 12, 38319),
(270, 12, 38453),
(271, 12, 38830),
(272, 12, 38321),
(273, 13, 0),
(274, 13, 19016),
(275, 13, 59050),
(276, 13, 59547),
(277, 13, 59548),
(278, 13, 59049),
(279, 13, 19015),
(280, 14, 0),
(281, 14, 52171),
(282, 14, 52174),
(283, 14, 52172),
(284, 14, 52173),
(285, 15, 0),
(286, 15, 12343),
(287, 15, 55713),
(288, 15, 55749),
(289, 15, 75718),
(290, 15, 7525),
(291, 15, 55750),
(292, 15, 7526),
(293, 15, 75722),
(294, 15, 55751),
(295, 15, 55714),
(296, 15, 75717),
(297, 15, 75721),
(298, 15, 12344),
(299, 15, 55752);

You can try to declare a variable #Val with CASE WHEN to make it.
using CASE WHEN to judgment number. if number is 0 or null do accumulate the #Val
Schema (MySQL v5.7)
CREATE TABLE `stack` (
`id` int(11) NOT NULL auto_increment,
`number` int(5) default NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=23 ;
--
-- Dumping data for table `stack`
--
INSERT INTO `stack` (`id`, `number`) VALUES
(1, 52201),
(2, 53008),
(3, 55007),
(4, 75222),
(5, 0),
(6, 74992),
(7, 14553),
(8, 54582),
(9, 54581),
(10, 74991),
(11, 14554),
(12, 0),
(13, 11413),
(14, 72414),
(15, 31415),
(16, 71416),
(17, 0),
(18, 59823),
(19, 69824),
(20, 59821),
(21, 69825),
(22, 59826);
Query #1
SET #Val= 1;
There are no results to be displayed.
Query #2
SELECT id,
(CASE WHEN coalesce(number,0) = 0 THEN #Val:=#Val+1 ELSE #Val END) counter,
number
FROM `stack` t1
order by id;
| id | number | counter |
| --- | ------ | ------- |
| 1 | 52201 | 1 |
| 2 | 53008 | 1 |
| 3 | 55007 | 1 |
| 4 | 75222 | 1 |
| 5 | 0 | 2 |
| 6 | 74992 | 2 |
| 7 | 14553 | 2 |
| 8 | 54582 | 2 |
| 9 | 54581 | 2 |
| 10 | 74991 | 2 |
| 11 | 14554 | 2 |
| 12 | 0 | 3 |
| 13 | 11413 | 3 |
| 14 | 72414 | 3 |
| 15 | 31415 | 3 |
| 16 | 71416 | 3 |
| 17 | 0 | 4 |
| 18 | 59823 | 4 |
| 19 | 69824 | 4 |
| 20 | 59821 | 4 |
| 21 | 69825 | 4 |
| 22 | 59826 | 4 |
View on DB Fiddle

You can emulate row_number functionality (for older versions of MySQL; version < 8.0).
Try the following query (SQL Fiddle Demo):
SET #row_number = 1;
SELECT
id,
number,
#row_number:= IF(IFNULL(number,0) = 0,
#row_number + 1,
#row_number) AS counter
FROM
stack
ORDER BY id ASC
Note:
Above code will also handle cases when number field value is null instead of 0.
Ifnull() function helps in returning 0 value, if a particular number is null.
Utilizing If() function, we can then check if the current value is 0 or not, and update the counter accordingly.

You can also achieve this by simply writing a procedure
1) Firstly, You can alter your table structure by adding column counter
ALTER TABLE stack ADD COLUMN counter INT NOT NULL DEFAULT 0;
2) Then create a procedure as:
DELIMITER $$
CREATE PROCEDURE `updateVal_Counter`()
BEGIN
DECLARE done INT DEFAULT 0;
DECLARE result INT DEFAULT 1;
DECLARE a,b,id1 INT;
DECLARE cur1 CURSOR FOR SELECT id,number,counter FROM `test`.`stack`;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = TRUE;
OPEN cur1;
read_loop:
LOOP
FETCH cur1 INTO id1,a,b;
IF a = 0 THEN
SET result = result + 1;
END IF;
IF done THEN
LEAVE read_loop;
END IF;
UPDATE `stack` SET counter =result WHERE number=a AND id = id1;
END LOOP;
CLOSE cur1;
END$$
DELIMITER ;
3) Finally call the procedure as
call updateVal_Counter;
This will add a new column with desired value in your table structure.

MYSQL- Substract two colums and get the result

I am trying to write a query wherein it should count the number of students and tell me the remaining seats available in a vehicle.
Have managaed to identify which student is associated to which bus but getting stuck to find the seat remaining
Below is data :
vehnum route seats student id
23 2 45 2345
33 3 46 6789
Below is the query :
SELECT deveh.vehicle_reg_no AS vehnum
, veh.route_code AS route
, deveh.seating_capacity AS vehseat
, class.fk_stu_id
FROM tbl_stu_class AS class
JOIN tbl_stu_route AS route
ON route.fk_stu_cls_id = class.pk_stu_cls_id
JOIN list_routes AS veh
ON route.fk_route_id = veh.pk_route_id
JOIN list_vehicles AS deveh
ON deveh.pk_vehicle_id = veh.fk_vehicle_id
WHERE class.fk_year_id = 62
AND class.current_yr = 'Y'
Added sample data :
INSERT INTO `list_vehicles` (`pk_vehicle_id`, `vehicle_reg_no`, `vehicle_type`, `regd_owner_name`, `seating_capacity`, `brand_model`, `type_of_body`, `reg_address`, `fuel_type`, `chasis_no`, `reg_authority`, `engine_no`, `color`, `reg_date`, `reg_valid_date`, `month_yr_mfg`, `fk_user_id`, `timestamp`) VALUES
(46, 'J58987', 'Bus', 'M', 30, 'VOlvo', 'Steel', 'FBD', 'Petrol', '565', 'M1', '5689', 'blue', '2016-10-02', '2016-10-02', '2014-12-31', 1, '2018-07-11 18:01:06'),
(53, 'J1234', 'Bus', 'der', 45, 'Volvo', 'Metal', 'Indirapuram', 'Petrol', '123456', 'det', '2365', 'blue', '2010-12-12', '2020-12-12', '2009-12-11', 1, '2018-07-12 06:54:50'),
(54, 'J1234er', 'Van', 'der', 46, 'Volvo', 'Metal', 'Indirapuram', 'Petrol', '12345634', 'det', '236534', 'blue', '2020-02-03', '2020-02-03', '2008-11-11', 1, '2018-07-12 06:57:59');
INSERT INTO `tbl_stu_class` (`pk_stu_cls_id`, `fk_stu_id`, `fk_year_id`, `fk_class_id`, `fk_section_id`, `current_yr`, `fk_user_id`, `timestamp`) VALUES
(1, 56, 50, 22, 10, 'N', 1, '2018-06-08 06:57:34'),
(3, 123, 50, 24, 7, 'N', 1, '2018-06-12 07:54:46'),
(4, 126, 50, 24, 7, 'N', 56, '2018-06-12 07:54:46'),
(5, 123, 52, 25, 7, 'Y', 1, '2018-06-12 17:30:32'),
(6, 126, 52, 25, 7, 'Y', 1, '2018-06-12 17:30:32'),
(7, 132, 50, 22, 9, 'Y', 1, '2018-06-24 10:27:57'),
(8, 133, 51, 23, NULL, 'Y', 1, '2018-06-24 18:22:33'),
(10, 127, 51, 23, NULL, 'Y', 0, '2018-07-11 17:47:05'),
(11, 134, 62, 22, NULL, 'Y', 0, '2018-07-13 08:11:16'),
(12, 135, 62, 21, 7, 'Y', 1, '2018-07-13 11:12:08'),
(13, 136, 62, 21, 9, 'Y', 1, '2018-07-13 14:59:04');

MySQL database queries between queries

Here is my SQL file:
-- phpMyAdmin SQL Dump
-- version 3.4.7.1
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Jan 23, 2012 at 09:26 AM
-- Server version: 5.1.56
-- PHP Version: 5.2.9
SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET #OLD_CHARACTER_SET_CLIENT=##CHARACTER_SET_CLIENT */;
/*!40101 SET #OLD_CHARACTER_SET_RESULTS=##CHARACTER_SET_RESULTS */;
/*!40101 SET #OLD_COLLATION_CONNECTION=##COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Database: `danielle_youtube`
--
-- --------------------------------------------------------
--
-- Table structure for table `items`
--
CREATE TABLE IF NOT EXISTS `items` (
`id` int(11) NOT NULL,
`name` varchar(65) COLLATE utf8_unicode_ci NOT NULL,
`cost` float NOT NULL,
`seller_id` int(11) NOT NULL,
`bids` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `items`
--
INSERT INTO `items` (`id`, `name`, `cost`, `seller_id`, `bids`) VALUES
(1, 'Brand New iMac Computer', 149.99, 32, 3),
(2, 'used diaper from my sister', 2.04, 1, 0),
(3, 'Fresh apple pie', 14.99, 54, 32),
(4, 'New gym socks', 2.34, 90, 566),
(5, 'Weedwacker only slightly used', 4.56, 84, 2),
(6, 'New ipad stolen from best buy', 399, 32, 23),
(7, 'Book about having babies', 21.34, 44, 21),
(8, 'Woman Jeans', 49.5, 56, 123),
(9, 'traditional carpet', 25.45, 14, 75),
(10, '3 boxes of frogs', 30.49, 68, 145),
(11, '48 boxes of frogs', 74.29, 6, 99),
(12, '7 boxes of frogs', 857.75, 18, 88),
(13, 'laptop', 743.3, 89, 158),
(14, 'thumbelina', 228.05, 15, 49),
(15, 'bed', 127.15, 65, 189),
(16, 'shampoing', 12.8, 6, 105),
(17, 'stove', 37.66, 68, 111),
(18, 'cushion', 7.15, 97, 157),
(19, 'refrigerator', 657.49, 61, 129),
(20, 'gold necklace', 853.07, 10, 101),
(21, 'pan', 33.7, 7, 184),
(22, 'awesome alien computer game', 10.75, 18, 29),
(23, 'baby coat', 89.99, 14, 47),
(24, 'baby seat', 145.78, 2, 199),
(25, 'satchel', 44.71, 15, 66),
(26, 'women perfum', 110.9, 48, 84),
(27, 'conveyor belt', 1120.75, 11, 4),
(28, 'used car', 5700.5, 12, 135),
(29, 'supercomputer', 49.75, 50, 176),
(30, 'mirror', 26.8, 19, 56),
(31, 'piano', 1800.4, 13, 147),
(32, 'quitar', 88.4, 25, 164),
(33, 'trumpet', 255.15, 36, 23),
(34, 'machintosh', 3845, 20, 107),
(35, 'earphone', 10.5, 17, 110),
(36, 'computer', 418, 11, 152),
(37, 'night light', 13.87, 97, 198),
(38, 'pc bag', 50.99, 48, 65),
(39, 'babyfoot', 376.7, 2, 121),
(40, 'hairdryer', 88.9, 12, 177),
(41, 'babyliss', 130.75, 68, 79),
(42, 'door', 150.5, 98, 13),
(43, 'baby soap', 12.7, 4, 198),
(44, 'used phone', 43.75, 9, 69),
(45, 'bath', 757.15, 96, 55),
(46, 'flower', 10.75, 16, 89),
(47, 'battery charger', 48.75, 25, 87),
(48, 'air conditioner', 975, 12, 151),
(49, 'casserole', 115.75, 46, 35),
(50, 'used toilet', 180.7, 64, 11),
(51, 'teashirt', 14.98, 65, 114),
(52, 'moto', 920, 22, 174),
(53, 'saxophone', 220.9, 60, 140),
(54, 'bicycle', 180.55, 97, 35),
(55, 'man perfum', 95, 75, 199),
(56, 'table', 157.25, 91, 48),
(57, 'boat', 4890.5, 17, 177),
(58, 'iphone', 547, 8, 28),
(59, 'body milk', 50.5, 16, 90),
(60, 'new curtain for bedroom', 278.4, 92, 11),
(61, 'diamond ring', 1900, 15, 45),
(62, 'swept', 4.5, 9, 99),
(63, 'women hat', 17.55, 39, 60),
(64, 'washing machine', 680.9, 42, 125),
(65, 'baby bottle', 27.98, 91, 117),
(66, 'women sun glasses', 66.7, 18, 174),
(67, 'person weighs', 65.25, 10, 100),
(68, 'photo frame', 18, 85, 170),
(69, 'key board', 16.7, 90, 101),
(70, 'screen', 250, 81, 188),
(71, 'bucket', 2.5, 1, 19),
(72, 'lipstick', 24.75, 3, 44),
(73, 'wardrobe', 120.75, 9, 71),
(74, 'blue dress size 40', 88.9, 7, 113),
(75, 'newspaper', 1.5, 95, 172),
(76, 'scanner', 350, 14, 62),
(77, 'camera', 550.7, 17, 95),
(78, 'camcorder', 788.99, 25, 127),
(79, 'gun', 420.1, 81, 107),
(80, 'domestic dog', 200, 19, 129),
(81, 'horse', 759.5, 30, 115),
(82, 'truck', 7800.5, 32, 123),
(83, 'soccer ball', 95.49, 54, 155),
(84, 'gold earring', 385, 75, 92),
(85, 'basket', 250.45, 46, 142),
(86, 'bikini', 85.2, 12, 57),
(87, 'red skirt', 15.9, 18, 188),
(88, 'copier machine', 800.7, 50, 160),
(89, 'handbag', 35.9, 8, 108),
(90, 'bath towel', 25.1, 11, 186),
(91, 'coffee machine', 210.89, 15, 170),
(92, 'wedding dress', 690, 26, 48),
(93, 'man sun glasses', 80.7, 19, 174),
(94, 'candle', 7.5, 22, 102),
(95, 'scarf', 11.9, 7, 143),
(96, 'microwave', 150.29, 6, 11),
(97, 'electric oven', 645, 62, 171),
(98, 'play station', 256.75, 12, 188),
(99, 'dvd', 126.84, 14, 113),
(100, 'magazine', 3.5, 8, 152);
/*!40101 SET CHARACTER_SET_CLIENT=#OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=#OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=#OLD_COLLATION_CONNECTION */;`
Now, when I run this query:
SELECT name , MIN(cost) FROM items WHERE name LIKE '% boxes of frogs' AND seller_id IN (
SELECT seller_id FROM items WHERE name LIKE '% boxes of frogs'
)
I get
name: 3 boxes of frogs
MIN(cost): 30.489999771118164
But when I use:
SELECT name , MIN(cost) FROM items WHERE seller_id IN(
SELECT seller_id FROM items WHERE name LIKE '% boxes of frogs'
)
I get this result:
name: 3 boxes of frogs
MIN(cost): 10.75
I want to know why the results are different?

The first query returns the name of the item and the cheapest price from items of a box of frogs (see the condition on name in the external query).
The second query returns the name of the item and the cheapest price from items of any item sold by someone who is also selling a box of frogs (the condition on name is only applied in the internal condition).

trying to make a average list for a bowling club

I'm trying to make an average list for a bowling club. I have a database with the following tables:
team_medlem (medlem_id, name, address, etc)
team_samling (match_id, lag_id, borta (0 = home game, 1 = away game), date, time, etc)
team_match (id, match_id, s1, s2, etc)
team_resultat (id, medlem_id, results, series, banp, match_id)
I want to get the total average, average home and away average. result is the total points for the entire game for each player and the series is the number of played series.
I have this:
SELECT team_resultat.medlem_id, team_medlem.namn, sum(resultat)/sum(serier) as snitt, sum(banp)
FROM team_resultat
JOIN team_medlem ON team_resultat.medlem_id = team_medlem.medlem_id
JOIN team_samling ON team_resultat.match_id = team_samling.match_id
WHERE datum >= current_date - interval '1' year
GROUP BY namn
ORDER BY snitt desc
How can I get home average and away average?
I have tried this but it miscalculated averages
SELECT team_resultat.medlem_id, team_medlem.namn, sum(resultat)/sum(serier) as snitt, sum(banp), avg(case when not borta then resultat/serier end) as hemmasnitt, avg(case when borta then resultat/serier end) as bortasnitt
FROM team_resultat
JOIN team_medlem ON team_resultat.medlem_id = team_medlem.medlem_id
JOIN team_samling ON team_resultat.match_id = team_samling.match_id
WHERE datum >= current_date - interval '1' year
GROUP BY namn
ORDER BY snitt desc
Sampeldata:
-- phpMyAdmin SQL Dump
-- version 4.1.14
-- http://www.phpmyadmin.net
--
-- Värd: 127.0.0.1
-- Tid vid skapande: 03 nov 2014 kl 20:07
-- Serverversion: 5.6.17
-- PHP-version: 5.5.12
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
--
-- Databas: `teamet`
--
-- --------------------------------------------------------
--
-- Tabellstruktur `team_medlem`
--
CREATE TABLE IF NOT EXISTS `team_medlem` (
`medlem_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`namn` varchar(100) COLLATE utf8_swedish_ci NOT NULL,
PRIMARY KEY (`medlem_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_swedish_ci COMMENT='Medlems register'AUTO_INCREMENT=36 ;
--
-- Dumpning av Data i tabell `team_medlem`
--
INSERT INTO `team_medlem` (`medlem_id`, `namn`) VALUES
(1, 'Sven-Åke Jansson'),
(2, 'Christer Wendel'),
(4, 'Sören Carlsson'),
(5, 'Jan Ingvarsson'),
(6, 'Lars-Göran Wetterholm'),
(7, 'Anders Svensson'),
(8, 'Bengt Carlsson'),
(9, 'Per-Olof Johansson'),
(10, 'Barsom Calan'),
(11, 'Mikael Mårtensson'),
(12, 'Andreas Johansson'),
(13, 'Jonas Wendel'),
(14, 'Sören Fransson'),
(15, 'Daniel Fransson'),
(16, 'Stefan Lord'),
(18, 'Lennart Johansson'),
(19, 'Jonas Nilsson'),
(20, 'Mikael Nilsson'),
(21, 'Patrik Emanuelsson'),
(22, 'Jörgen Norman'),
(24, 'Anders Johansson'),
(25, 'Andreas Larsson'),
(26, 'Roger Larsson'),
(27, 'Peter Ericson'),
(28, 'Dado Hrnic'),
(29, 'Maria Lord-Johansson'),
(33, 'Mats Wellermark');
-- phpMyAdmin SQL Dump
-- version 4.1.14
-- http://www.phpmyadmin.net
--
-- Värd: 127.0.0.1
-- Tid vid skapande: 03 nov 2014 kl 20:13
-- Serverversion: 5.6.17
-- PHP-version: 5.5.12
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
--
-- Databas: `teamet`
--
-- --------------------------------------------------------
--
-- Tabellstruktur `team_samling`
--
CREATE TABLE IF NOT EXISTS `team_samling` (
`match_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`lag_id` int(11) DEFAULT NULL,
`omg` int(2) unsigned DEFAULT NULL,
`borta` tinyint(1) unsigned DEFAULT '0',
`datum` date DEFAULT NULL,
`tid` time DEFAULT NULL,
`motstandare` varchar(50) COLLATE utf8_swedish_ci DEFAULT NULL,
`samling` varchar(6) COLLATE utf8_swedish_ci DEFAULT NULL,
`ovrigt` varchar(50) COLLATE utf8_swedish_ci DEFAULT NULL,
PRIMARY KEY (`match_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_swedish_ci COMMENT='Samling' AUTO_INCREMENT=14 ;
--
-- Dumpning av Data i tabell `team_samling`
--
INSERT INTO `team_samling` (`match_id`, `lag_id`, `omg`, `borta`, `datum`, `tid`, `motstandare`, `samling`, `ovrigt`) VALUES
(1, 1, 1, 0, '2014-10-28', '12:15:00', 'Forsheda', '11:30', 'match dräkt'),
(2, 2, 1, 0, '2014-10-27', '10:00:00', 'Jönköping KK', '09:15', ''),
(3, 3, 3, 0, '2014-10-30', '15:20:00', 'Alvesta', '14:30', ''),
(4, 2, 2, 1, '2014-11-05', '12:00:00', 'Sävsjö', '09:15', 'Buss'),
(5, 2, 2, 1, '2014-11-05', '14:00:00', 'Eksjö', NULL, NULL),
(6, 3, 2, 0, '2014-11-06', '11:15:00', 'Jönköping kk', '10:30', NULL),
(11, 1, 20, 1, '2014-11-05', '12:30:00', 'test borta 2', '09:30', NULL),
(13, 1, 22, 0, '2014-11-06', '10:00:00', 'Test hemma', '09:00', NULL);
-- phpMyAdmin SQL Dump
-- version 4.1.14
-- http://www.phpmyadmin.net
--
-- Värd: 127.0.0.1
-- Tid vid skapande: 03 nov 2014 kl 20:16
-- Serverversion: 5.6.17
-- PHP-version: 5.5.12
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
--
-- Databas: `teamet`
--
-- --------------------------------------------------------
--
-- Tabellstruktur `team_resultat`
--
CREATE TABLE IF NOT EXISTS `team_resultat` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`medlem_id` int(11) unsigned DEFAULT NULL,
`resultat` decimal(5,2) unsigned DEFAULT NULL,
`serier` int(2) unsigned DEFAULT NULL,
`banp` int(1) unsigned DEFAULT NULL,
`match_id` int(11) unsigned DEFAULT NULL,
`resultat_sparad` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_swedish_ci COMMENT='Match resultat' AUTO_INCREMENT=53 ;
--
-- Dumpning av Data i tabell `team_resultat`
--
INSERT INTO `team_resultat` (`id`, `medlem_id`, `resultat`, `serier`, `banp`, `match_id`, `resultat_sparad`) VALUES
(1, 6, '800.00', 4, 3, 2, '2014-10-11 17:11:37'),
(2, 7, '790.00', 4, 3, 2, '2014-10-11 17:11:37'),
(3, 11, '780.00', 4, 2, 2, '2014-10-11 17:11:37'),
(4, 12, '770.00', 4, 2, 2, '2014-10-11 17:11:37'),
(5, 14, '760.00', 4, 3, 2, '2014-10-11 17:11:37'),
(6, 15, '750.00', 4, 2, 2, '2014-10-11 17:11:37'),
(7, 24, '740.00', 4, 2, 2, '2014-10-11 17:11:37'),
(8, 25, '505.00', 3, 1, 2, '2014-10-11 17:11:37'),
(9, 27, '165.00', 1, 0, 2, '2014-10-11 17:11:37'),
(10, 8, '700.00', 4, 2, 1, '2014-10-26 14:29:20'),
(11, 9, '690.00', 4, 3, 1, '2014-10-26 14:29:20'),
(12, 10, '680.00', 4, 2, 1, '2014-10-26 14:29:20'),
(13, 13, '670.00', 4, 2, 1, '2014-10-26 14:29:20'),
(14, 19, '660.00', 4, 2, 1, '2014-10-26 14:29:20'),
(15, 20, '650.00', 4, 1, 1, '2014-10-26 14:29:20'),
(16, 22, '640.00', 4, 2, 1, '2014-10-26 14:29:20'),
(17, 25, '640.00', 4, 1, 1, '2014-10-26 14:29:20'),
(19, 1, '800.00', 4, 2, 3, '2014-10-26 14:31:00'),
(20, 2, '790.00', 4, 2, 3, '2014-10-26 14:31:00'),
(21, 4, '780.00', 4, 2, 3, '2014-10-26 14:31:00'),
(22, 5, '770.00', 4, 2, 3, '2014-10-26 14:31:00'),
(23, 7, '760.00', 4, 2, 3, '2014-10-26 14:31:00'),
(24, 8, '750.00', 4, 2, 3, '2014-10-26 14:31:00'),
(25, 14, '740.00', 4, 3, 3, '2014-10-26 14:31:00'),
(26, 15, '500.00', 3, 1, 3, '2014-10-26 14:31:00'),
(27, 18, '150.00', 1, 1, 3, '2014-10-26 14:31:00'),
(28, 2, '800.00', 4, 2, 4, '2014-10-26 16:57:47'),
(29, 6, '790.00', 4, 2, 4, '2014-10-26 16:57:47'),
(30, 11, '780.00', 4, 2, 4, '2014-10-26 16:57:47'),
(31, 12, '770.00', 4, 2, 4, '2014-10-26 16:57:47'),
(32, 14, '760.00', 4, 2, 4, '2014-10-26 16:57:47'),
(33, 15, '750.00', 4, 2, 4, '2014-10-26 16:57:47'),
(34, 25, '740.00', 4, 2, 4, '2014-10-26 16:57:47'),
(35, 33, '730.00', 4, 2, 4, '2014-10-26 16:57:47'),
(36, 2, '800.00', 4, 2, 5, '2014-10-26 16:58:26'),
(37, 6, '790.00', 4, 2, 5, '2014-10-26 16:58:26'),
(38, 11, '780.00', 4, 2, 5, '2014-10-26 16:58:26'),
(39, 12, '770.00', 4, 2, 5, '2014-10-26 16:58:26'),
(40, 14, '760.00', 4, 2, 5, '2014-10-26 16:58:26'),
(41, 15, '750.00', 4, 2, 5, '2014-10-26 16:58:26'),
(42, 25, '740.00', 4, 2, 5, '2014-10-26 16:58:26'),
(43, 33, '730.00', 4, 2, 5, '2014-10-26 16:58:26'),
(44, 10, '700.00', 4, 2, 6, '2014-10-26 16:59:15'),
(45, 13, '690.00', 4, 2, 6, '2014-10-26 16:59:15'),
(46, 16, '680.00', 4, 2, 6, '2014-10-26 16:59:15'),
(47, 19, '670.00', 4, 2, 6, '2014-10-26 16:59:15'),
(48, 18, '660.00', 4, 2, 6, '2014-10-26 16:59:15'),
(49, 21, '650.00', 4, 2, 6, '2014-10-26 16:59:15'),
(50, 26, '640.00', 4, 2, 6, '2014-10-26 16:59:15'),
(51, 27, '520.00', 3, 2, 6, '2014-10-26 16:59:15'),
(52, 29, '160.00', 1, 2, 6, '2014-10-26 16:59:15');
expected results
Namn Snitt Hemma Borta Banp
Sven-Åke Jansson 200,00 200,00 0 2
Christer Wendel 199,17 197,50 200,00 6
Lars-Göran Wetterholm 198,33 200,00 197,50 7
Mikael Mårtensson 195,00 195,00 195,00 6
Sören Carlsson 195,00 195,00 0 2
Anders Svensson 193,75 193,75 0 5
Andreas Johansson 192,50 192,50 192,50 6
Jan Ingvarsson 192,50 192,50 0 2
Sören Fransson 188,75 187,50 190,00 10
Anders Johansson 185,00 185,00 0 2
Daniel Fransson 183,33 178,57 187,50 7
Mats Wellermark 182,50 0 182,50 4
Bengt Carlsson 181,25 181,25 0 4
Andreas Larsson 175,00 163,57 185,00 6
Barsom Calan 172,50 172,50 0 4
Per-Olof Johansson 172,50 172,50 0 3
Peter Ericson 171,25 171,25 0 2
Jonas Wendel 170,00 170,00 0 4
Stefan Lord 170,00 170,00 0 2
Jonas Nilsson 166,25 166,25 0 4
Mikael Nilsson 162,50 162,50 0 1
Patrik Emanuelsson 162,50 162,50 0 2
Lennart Johansson 162,00 162,00 0 3
Jörgen Norman 160,00 160,00 0 2
Maria Lord-Johansson 160,00 160,00 0 2
Roger Larsson 160,00 160,00 0 2