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Bring back the count of all the batsmen who have played a certain number of innings only if there are more than one batsman who have played that number of innings. 4 innings – 2 batsmen, 5 innings – 3 batsmen etc.
SELECT COUNT(Innings) AS TotalInnings, COUNT(player) AS Totalplayer
FROM Batting
GROUP BY Player
Player is the field name for the batsmens name. I am kinda stuck on how to write the last lines statement
4 innings – 2 batsmen, 5 innings – 3 batsmen etc
This is the table design
CREATE TABLE Batting (
Player CHAR(25),
CarrerSpan VARCHAR(20),
Matches INT,
Innings INT,
Playing INT,
Runs INT,
HighestScore CHAR(10),
AverageScore NUMERIC,
BallsFaced INT,
StrikeRate NUMERIC,
Hundreds INT,
Fifties INT,
Zeros INT,
Fours INT,
Sixs INT
);
INSERT INTO Batting
VALUES ('JP Duminy', '2007-2018', 77, 71, 22, 1825, '96*', 37.24, 1468, 124.31, 0, 11, 6, 130, 65);
INSERT INTO Batting
VALUES ('AB de Villiers', '2006-2017', 78, 75, 11, 1672, '79*', 26.12, 1237, 135.16, 0, 10, 5, 140, 60);
INSERT INTO Batting
VALUES ('HM Amla', '2009-2018', 41, 41, 5, 1158, '97*', 32.16, 883, 131.14, 0, 7, 2, 133, 23);
INSERT INTO Batting
VALUES ('F du Plessis', '2012-2017', 36, 36, 6, 1129, 119, 37.63, 849, 132.97, 1, 7, 0, 102, 35);
INSERT INTO Batting
VALUES('DA Miller', '2010-2018', 58, 51, 15, 1043, '101*', 28.97, 745, 140.00, 1, 1, 0, 71, 46);
INSERT INTO Batting
VALUES('GC Smith', '2005-2011', 33, 33, 2, 982, '89*', 31.67, 770, 127.53, 0, 5, 1, 123, 26);
INSERT INTO Batting
VALUES('Q de Kock','2012-2018', 32, 32, 4, 821, 59, 29.32, 637, 128.88, 0, 2, 3, 97, 24);
INSERT INTO Batting
VALUES('JH Kallis', '2005-2012', 25, 23, 4, 666, 73, 35.05, 558, 119.35, 0, 5, 0, 56, 20);
INSERT INTO Batting
VALUES('JA Morkel', '2005-2015', 50, 38, 11, 572, 43, 21.18, 402, 142.28, 0, 0, 1, 29, 39);
INSERT INTO Batting
VALUES('F Behardien', '2012-2018', 37, 29, 13, 515, '64*', 32.18, 402, 128.10, 0, 1, 1, 37, 16);
INSERT INTO Batting
VALUES('HH Gibbs', '2005-2010', 23, 23, 1, 400, '90*', 18.18, 318, 125.78, 0, 3, 4, 45, 12);
INSERT INTO Batting
VALUES('RR Rossouw', '2014-2016', 15, 14, 3, 327, 78, 29.72, 237, 137.97, 0, 2, 2, 29, 12);
INSERT INTO Batting
VALUES('LE Bosman', '2006-2010', 14, 14, 1, 323, 94, 24.84, 219, 147.48, 0, 3, 2, 27, 20);
INSERT INTO Batting
VALUES('RR Hendricks', '2014-2018', 13, 13, 0, 294, 70, 22.61, 262, 112.21, 0, 1, 2, 33, 3);
INSERT INTO Batting
VALUES('MV Boucher', '2005-2010', 25, 21, 6, 268, '36*', 17.86, 275, 97.45, 0, 0, 0, 22, 2);
INSERT INTO Batting
VALUES('RE Levi', '2012-2012', 13 ,13, 2, 236, '117*', 21.45, 167, 141.31, 1, 1, 3, 20, 15);
INSERT INTO Batting
VALUES('MN van Wyk', '2007-2015', 8, 7, 1, 225, '114*', 37.50, 157, 143.31, 1, 1, 0, 19, 14);
INSERT INTO Batting
VALUES('CA Ingram', '2010-2012', 9, 9, 1, 210, 78, 26.25, 162, 129.62, 0, 1, 1, 23, 7);
INSERT INTO Batting
VALUES('JM Kemp', '2005-2007', 8, 7, 3, 203, '89*', 50.75, 160, 126.87, 0, 1, 0, 17, 10);
INSERT INTO Batting
VALUES('J Botha', '2006-2012', 40, 0, 9, 201, 34, 18.27, 165, 121.81, 0, 0, 1, 15, 9);
INSERT INTO Batting
VALUES('H Davids', '2012-2013', 9, 9, 0, 161, 68, 17.88, 134, 120.14, 0, 2, 2, 18, 4);
INSERT INTO Batting
VALUES('JL Ontong', '2008-2015', 14, 10, 0, 158, 48, 15.80, 109, 144.95, 0, 0, 1, 6, 11);
INSERT INTO Batting
VALUES('JT Smuts', '2017-2018', 8, 8, 0, 126, 45, 15.75, 114, 110.52, 0, 0, 1, 14, 5);
INSERT INTO Batting
VALUES('RJ Peterson', '2006-2014', 21, 12, 4, 124, 34, 15.50, 113, 109.73, 0, 0, 1, 13, 2);
INSERT INTO Batting
VALUES('WD Parnell', '2009-2017', 40, 13, 9, 114, '29*', 28.50, 96, 118.75, 0, 0, 0, 10, 3);
INSERT INTO Batting
VALUES( 'H Klaasen', '2018-2018', 4, 4, 0, 110, '69', 27.50, 64, 171.87, 0, 1, 0, 5, 9);
INSERT INTO Batting
VALUES( 'M Mosehle', '2017-2017', 7, 6, 1, 105, '36', 21.00, 65, 161.53, 0, 0, 0, 6, 9);
INSERT INTO Batting
VALUES( 'D Wiese', '2013-2016', 20, 11, 4, 92, '28', 13.14, 75, 122.66, 0, 0, 1, 4, 3);
INSERT INTO Batting
VALUES( 'SM Pollock', '2005-2008', 12, 9, 2, 86, '36*', 12.28, 70, 122.85, 0, 0, 3, 4, 4);
INSERT INTO Batting
VALUES( 'CH Morris', '2012-2018', 17, 10, 3, 77, '17*', 11.00, 70, 110.00, 0, 0, 2, 7, 2);
INSERT INTO Batting
VALUES( 'RE van der Merwe', '2009-2010', 13, 6, 3, 57, '48', 19.00, 50, 114.00, 0, 0, 1, 2, 4);
INSERT INTO Batting
VALUES( 'C Jonker', '2018-2018', 1, 1, 0, 49, '49', 49.00, 24, 204.16, 0, 0, 0, 5, 2);
INSERT INTO Batting
VALUES( 'HG Kuhn', '2009-2017', 7, 6, 2, 49, '29', 12.25, 42, 116.66, 0, 0, 0, 3, 2);
INSERT INTO Batting
VALUES( 'JJ van der Wath', '2006-2007', 8, 4, 1, 46, '21', 15.33, 39, 117.94, 0, 0, 0, 3, 1);
INSERT INTO Batting
I think this could be the solution to your problem:
Query1
SELECT Innings,
COUNT(player) AS Totalplayer
FROM Batting
GROUP BY Innings
HAVING COUNT(player) > 1;
OR
Query2
SELECT Innings,
COUNT(player) AS Totalplayer
FROM Batting
GROUP BY Innings
HAVING COUNT(Innings) > 1;
Sample Output :
Innings
Totalplayer
4
2
6
3
7
2
9
3
10
2
13
3
14
2
23
2
View on DB Fiddle
Well you can save the number of rows for which the Innings column has certain value. You can save this number in a temporary table and then query the table. See following SQL:
CREATE TEMPORARY TABLE BatsmenCount (SELECT count(*) as total FROM Batting WHERE Innings=71);
SELECT * FROM BatsmenCount WHERE total > 1;
This query will return the number of batsmen that have played 71 innings and save the result in a temporary table. Next this number is fetched using SELECT query. If the query returns no results, then the number of batsmen that have played 71 innings is 1 or less. If the query returns a result, then this result is the number of batsmen that have played 71 innings.
See the SQL code on dbfiddle.
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.
I have removed 'age_range' from this query.
INSERT INTO `filters` (`id`, `user_id`, `profession_preference`, `country`, `city`, `order_by`, `profession_orientation`, `age_range`, `distance_range`, `location_dating`) VALUES
(9, 20, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(10, 12, 3, 'Egypt', '', 2, 1, '', '', 0),
(11, 19, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(13, 20, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(14, 20, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(15, 20, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(25, 121, 3, 'All Countries', '', 3, 1, '18,23', '0,500 ', 0),
(26, 316, 3, 'United States', '', 3, 1, '17,25', '0,500', 0);
I executed again and receive this error:
MySQL said: Documentation
#1136 - Column count doesn't match value count at row 1
When you insert a record, it matches the values in the VALUES list to the columns in the columns list by comma-separated position. So, this insert statement:
INSERT INTO `foo` (`A`, `B`, `C`)
VALUES ('valueA', 'valueB', 'valueC')
It will insert valueA into column A, valueB into column B, etc. because they match positions in their respective lists. If you remove B from the columns list and leave VALUES alone, it will not attempt to insert valueA into column A, but valueB into column C because they now match value positions, but it won't know what to do with valueC because there are now more values than columns, so since you removed the column from the second position, you would also need to remove the value from the second position.
So back to your query, you would need to determine which position age_range occupied in the columns list and remove the values from the same position in the values list.
Does that make sense?
You have 9 columns defined in your insert statement and you are trying to insert 10 values. you either need to add another column definition or remove from your values.
According to rule the column name define and provided values count should be same. In your case one column value in extra.
As the documentation says
"Column count doesn't match value count"
You specify 9 columns (id, user_id, profession_preference, country, city, order_by, profession_orientation, distance_range, location_dating) in your insert statement
and you are trying to insert 10 values.
You have to remove one value or add another column
Before removing column this is the script which will work
CREATE TABLE filters (id INT, user_id INT, profession_preference INT, country VARCHAR(50), city VARCHAR(50), order_by INT, profession_orientation INT, age_range VARCHAR(50), distance_range VARCHAR(50), location_dating INT);
INSERT INTO filters (id, user_id, profession_preference, country, city, order_by, profession_orientation, age_range, distance_range, location_dating) VALUES
(9, 20, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(10, 12, 3, 'Egypt', '', 2, 1, '', '', 0),
(11, 19, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(13, 20, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(14, 20, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(15, 20, 3, 'All Countries', '', 2, 1, '16,100', '0,500', 0),
(25, 121, 3, 'All Countries', '', 3, 1, '18,23', '0,500 ', 0),
(26, 316, 3, 'United States', '', 3, 1, '17,25', '0,500', 0);
Now since you removed age_range column, below script will work:
INSERT INTO filters (id, user_id, profession_preference, country, city, order_by, profession_orientation, distance_range, location_dating) VALUES
(9, 20, 3, 'All Countries', '', 2, 1, '0,500', 0),
(10, 12, 3, 'Egypt', '', 2, 1, '', 0),
(11, 19, 3, 'All Countries', '', 2, 1, '0,500', 0),
(13, 20, 3, 'All Countries', '', 2, 1, '0,500', 0),
(14, 20, 3, 'All Countries', '', 2, 1, '0,500', 0),
(15, 20, 3, 'All Countries', '', 2, 1, '0,500', 0),
(25, 121, 3, 'All Countries', '', 3, 1, '0,500', 0),
(26, 316, 3, 'United States', '', 3, 1, '0,500', 0);
I removed third last column from insert script.
Hope this helps!
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).
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