我想在我的数据库中使用Highcharts(bar),但我正在努力使用我的选择来使用JSON。
我有三个级别:黄金,白银和白金,我需要获得最低年份和最高年份,并且如果某一年度不存在该水平,则需要弥补差距
我有这个选择:
select B.year, A.level, COUNT(B.id_level) as n_level from level AS A
inner join company_level AS B ON A.id_level = B.id_level
GROUP BY B.id_level, B.year
ORDER BY B.year
我的结果:
year level n_level
2010 Siver 1
2010 Platinum 2
2010 Gold 2
2011 Gold 1
2013 Gold 1
2014 Platinum 1
2015 Silver 1
在我的结果中,我没有2011年的白银和白金,我想将白银和白金放在列表中,但是number_level(n_level)为0。
我的PHP:
$rows = mysqli_query($this->conn, $query);
$bln = array();
$bln['name'] = 'Year';
$row['name'] = 'Level';
$year ="";
while ($r = mysqli_fetch_array($rows)) {
if($year !== $r['year']){
$bln['data'][] = $r['year'];
}
$row['data'][] = $r['n_level'];
$year = $r['year'];
}
$rslt = array();
array_push($rslt, $bln);
array_push($rslt, $row);
print json_encode($rslt, JSON_NUMERIC_CHECK);
我的PHP结果:
[{"name":"Year","data":[2010,2011,2013,2014,2015]},{"name":"Level","data":[2,2,1,1,1,1,1]}]
但我的目标是:
[{"name":"Year","data":[2010,2011,2013,2014,2015]},{"name":"Gold","data":[2,2,1,1,1]}, {"name":"Silver","data":[1,0,0,0,1]}, {"name":"Platinum","data":[2,2,1,1,1]}]
感谢您的帮助。
@Tin Tran回答后的结果:
$rows = mysqli_query($this->conn, $query);
$bln = array();
$bln['name'] = 'Year';
$row_gold['name'] = 'Gold';
$row_platinum['name'] = 'Platinum';
$row_silver['name'] = 'Silver';
while ($r = mysqli_fetch_array($rows)) {
$bln['data'][] = $r['year'];
$row_gold['data'][] = $r['gold'];
$row_platinum['data'][] = $r['platinum'];
$row_silver['data'][] = $r['silver']; '';
}
$rslt = array();
array_push($rslt, $bln);
array_push($rslt, $row_gold);
array_push($rslt, $row_platinum);
array_push($rslt, $row_silver);
print json_encode($rslt, JSON_NUMERIC_CHECK);
此代码适用于Highcharts。再次感谢@Tin Tran。
答案 0 :(得分:1)
我不熟悉php,但我认为根据你的JSON目标, 此查询可能会为您提供结果。
SELECT B.year,
SUM(A.level = 'Gold') as Gold,
SUM(A.level = 'Silver') as Silver,
SUM(A.level = 'Platinum') as Platinum
FROM level AS A
INNER JOIN company_level AS B ON A.id_level = B.id_level
GROUP BY B.year
ORDER BY B.year;
结果:
year Gold Silver Platinum
2010 2 1 2
2011 1 0 0
2013 1 0 0
2014 0 0 1
2015 0 1 0
sqlfiddle - > http://sqlfiddle.com/#!9/59893/3