使用 fputcsv 导出 mysql 查询数组答案

【问题标题】：export mysql query array using fputcsv使用 fputcsv 导出 mysql 查询数组
【发布时间】：2015-06-15 03:49:51
【问题描述】：

我正在尝试使用 fputcsv 将 sql 查询的结果导出到 CSV，但是不断收到错误消息“fputcsv() 期望参数 2 是数组，给定字符串”。

我按照这里给出的答案 - Query mysql and export data as CSV in PHP - 但它抛出了上面的错误。我知道 $val 是一个字符串，并且不会工作，因为 fputcsv 需要一个数组，但不明白如何将每一行放入 csv 中。如果我用 $row 代替 $val，我只会得到 csv 中结果的第一行，而不是循环。我知道我遗漏了一些非常明显的东西，只需要轻推一下就可以告诉我它是什么。代码如下：

// MySQLi Query
$result = mysqli_query($con, "

SELECT d.order_id AS 'Order ID',
m1.meta_value AS 'First Name',
m2.meta_value AS 'Last Name',
m3.meta_value AS 'Address1',
m4.meta_value AS 'Address2',
m5.meta_value AS 'City',
m6.meta_value AS 'State',
m7.meta_value AS 'Post Code',
f1.meta_value AS 'SKU',
d.order_item_name AS 'Product Name',
e2.meta_value AS 'Quantity',
m8.meta_value AS 'Tracking - Carrier',
m9.meta_value AS 'Tracking - Code',
m10.meta_value AS 'Tracking - Date',
m11.meta_value AS 'Tracking - Picked'

FROM dk_posts p
LEFT JOIN dk_postmeta m1 ON p.id = m1.post_id
AND m1.meta_key = '_shipping_first_name'
LEFT JOIN dk_postmeta m2 ON p.id = m2.post_id
AND m2.meta_key = '_shipping_last_name'
LEFT JOIN dk_postmeta m3 ON p.id = m3.post_id
AND m3.meta_key = '_shipping_address_1'
LEFT JOIN dk_postmeta m4 ON p.id = m4.post_id
AND m4.meta_key = '_shipping_address_2'
LEFT JOIN dk_postmeta m5 ON p.id = m5.post_id
AND m5.meta_key = '_shipping_city'
LEFT JOIN dk_postmeta m6 ON p.id = m6.post_id
AND m6.meta_key = '_shipping_state'
LEFT JOIN dk_postmeta m7 ON p.id = m7.post_id
AND m7.meta_key = '_shipping_postcode'
LEFT JOIN dk_postmeta m8 ON p.id = m8.post_id
AND m8.meta_key = 'ywot_carrier_name'
LEFT JOIN dk_postmeta m9 ON p.id = m9.post_id
AND m9.meta_key = 'ywot_tracking_code'
LEFT JOIN dk_postmeta m10 ON p.id = m10.post_id
AND m10.meta_key = 'ywot_pick_up_date'
LEFT JOIN dk_postmeta m11 ON p.id = m11.post_id
AND m11.meta_key = 'ywot_picked_up'

LEFT JOIN dk_woocommerce_order_items d ON d.order_id=m1.post_id

LEFT JOIN dk_woocommerce_order_itemmeta e1 ON d.order_item_id =     e1.order_item_id
AND e1.meta_key = '_product_id'
LEFT JOIN dk_woocommerce_order_itemmeta e2 ON d.order_item_id = e2.order_item_id
AND e2.meta_key = '_qty'

LEFT JOIN dk_postmeta f1 ON e1.meta_value = f1.post_id
AND f1.meta_key = '_sku'

WHERE post_status = 'wc-processing'
AND
order_item_type = 'line_item'
");

$row = mysqli_fetch_array($result, MYSQLI_ASSOC);

$fp = fopen('file.csv', 'w');

foreach ($row as $val) {
    fputcsv($fp, $val);
}

fclose($fp);

【问题讨论】：

标签： php mysql arrays csv fputcsv

【解决方案1】：

对应official manual for mysqli_fetch_array：

mysqli_fetch_array — 以关联、数字数组或两者的形式获取结果行

您编写了 MYSQLI_ASSOC 标志，因此您获得了一行数据的关联数组：

通过使用 MYSQLI_ASSOC 常量，此函数的行为将与 mysqli_fetch_assoc() 相同

请参阅examples of mysqli_fetch_assoc 以清楚了解我在说什么。

所以要将数据逐行放入csv，你应该像这样组织循环：

<?
// making your query

$fp = fopen('file.csv', 'w');
$placed_header = false;
while($row = mysqli_fetch_array($result, MYSQLI_ASSOC)) {
    // add header to table
    if(!$placed_header) {
        fputcsv($fp, array_keys($row));
        $placed_header = true;
    }

    // place row of data 
    fputcsv($fp, array_values($row));
}

fclose($fp);

【讨论】：

我试过这个并且抛出了很多新错误：警告：array_keys() 期望参数 1 是数组，在第 75 行的 /home/example/export/export3.php 中给出了 null 警告： fputcsv() 期望参数 2 为数组，在第 75 行的 /home/example/export/export3.php 中给出 null 警告：array_values() 期望参数 1 为数组，在 /home/example/export/export3 中给出 null。第 80 行的 php 警告：fputcsv() 期望参数 2 为数组，第 80 行的 /home/example/export/export3.php 中给出 null ...等等:(.
已修复。将循环中的 $val 替换为您实际循环的数据，即 $row。
完美。谢谢你的帮助。我现在也了解 mysqli_fetch_assoc 的区别，因此我的教育取得了进步:)。再次感谢。
我可以在 while 循环中使用 PDOStatement::fetch 将这段代码与 PDO::query 的输出一起使用来代替 mysqli_fetch_array。它运行良好，没有其他修改，也没有警告或错误。谢谢！

【解决方案2】：

使用 fputcsv 导出 MySQL 查询数组

PHP fputcsv()

$filename = "toy_csv.csv";
$fp = fopen('php://output', 'w');

$query = "$result = mysqli_query($con, "

SELECT d.order_id AS 'Order ID',
m1.meta_value AS 'First Name',
m2.meta_value AS 'Last Name',
m3.meta_value AS 'Address1',
m4.meta_value AS 'Address2',
m5.meta_value AS 'City',
m6.meta_value AS 'State',
m7.meta_value AS 'Post Code',
f1.meta_value AS 'SKU',
d.order_item_name AS 'Product Name',
e2.meta_value AS 'Quantity',
m8.meta_value AS 'Tracking - Carrier',
m9.meta_value AS 'Tracking - Code',
m10.meta_value AS 'Tracking - Date',
m11.meta_value AS 'Tracking - Picked'

FROM dk_posts p
LEFT JOIN dk_postmeta m1 ON p.id = m1.post_id
AND m1.meta_key = '_shipping_first_name'
LEFT JOIN dk_postmeta m2 ON p.id = m2.post_id
AND m2.meta_key = '_shipping_last_name'
LEFT JOIN dk_postmeta m3 ON p.id = m3.post_id
AND m3.meta_key = '_shipping_address_1'
LEFT JOIN dk_postmeta m4 ON p.id = m4.post_id
AND m4.meta_key = '_shipping_address_2'
LEFT JOIN dk_postmeta m5 ON p.id = m5.post_id
AND m5.meta_key = '_shipping_city'
LEFT JOIN dk_postmeta m6 ON p.id = m6.post_id
AND m6.meta_key = '_shipping_state'
LEFT JOIN dk_postmeta m7 ON p.id = m7.post_id
AND m7.meta_key = '_shipping_postcode'
LEFT JOIN dk_postmeta m8 ON p.id = m8.post_id
AND m8.meta_key = 'ywot_carrier_name'
LEFT JOIN dk_postmeta m9 ON p.id = m9.post_id
AND m9.meta_key = 'ywot_tracking_code'
LEFT JOIN dk_postmeta m10 ON p.id = m10.post_id
AND m10.meta_key = 'ywot_pick_up_date'
LEFT JOIN dk_postmeta m11 ON p.id = m11.post_id
AND m11.meta_key = 'ywot_picked_up'

LEFT JOIN dk_woocommerce_order_items d ON d.order_id=m1.post_id

LEFT JOIN dk_woocommerce_order_itemmeta e1 ON d.order_item_id =     e1.order_item_id
AND e1.meta_key = '_product_id'
LEFT JOIN dk_woocommerce_order_itemmeta e2 ON d.order_item_id = e2.order_item_id
AND e2.meta_key = '_qty'

LEFT JOIN dk_postmeta f1 ON e1.meta_value = f1.post_id
AND f1.meta_key = '_sku'

WHERE post_status = 'wc-processing'
AND
order_item_type = 'line_item'
");
$row = mysqli_fetch_array($result, MYSQLI_ASSOC);
while ($row = mysql_fetch_row($result)) {
    $header[] = $row[0];
}   
header('Content-type: application/csv');
header('Content-Disposition: attachment; filename='.$filename);
fputcsv($fp, $header);

$num_column = count($header);       
$query = "SELECT * FROM toy";
$result = mysqli_query($query);
while($row = mysqli_fetch_row($result)) {
    fputcsv($fp, $row);
}
exit;
?>

【讨论】：