Php 从magento表结构获取客户信息
我想从magento表中获取所有客户详细信息的行 有人能问我这个问题吗 表格如下：Php 从magento表结构获取客户信息,php,magento,Php,Magento,我想从magento表中获取所有客户详细信息的行 有人能问我这个问题吗 表格如下： 客户单位 eav_属性 客户\实体\ varchar 您是在为这个或某些Magento代码寻找实际的SQL吗？实际的SQL将变得混乱，并且可能永远不会按照您希望的方式进行 由于MySQL中没有“pivot”，所以在实际查询中基本上可以忽略eav\u属性。您将查看它以找到所需的属性ID。下面是一个如何选择此数据的简单示例： select c.*, fn.value firstname from custo
- 客户单位
- eav_属性
- 客户\实体\ varchar
eav\u属性select c.*, fn.value firstname
from customer_entity c
join customer_entity_varchar fn
on c.entity_id = fn.entity_id and fn.attribute_id = 5
;
Joe可以从Magento MySQL数据库中提取一些数据，但在执行以下查询之前，请注意： 1） Magento是可配置的，因此您不能从MySQL获取数据，但必须使用Magento客户模块（模型、资源模型）和Magento配置数据来检索客户数据。任何直接查询都不能保证与不同的Magento版本兼容，甚至不能保证与相同版本的安装兼容 2） Magento EAV结构不允许您在一个查询中以良好的形式获取所有客户数据，因为表名与属性是动态匹配的 3） 您不能仅通过一个查询甚至多个查询来提取所有客户数据。因为许多信息对象是在模型中创建的，并且只有模型具有在一个客户对象中收集所有数据的逻辑。我会谈论发货/账单地址、商店信用、奖励积分（对于EE版本）等等 但是，为了获取所有客户的varchar属性，您可以使用以下代码（由于上文1中提到的原因，不保证工作）： 也可以使用这样的查询来提取客户的所有属性
SELECT ce.*, ea.attribute_code,
CASE ea.backend_type
WHEN 'varchar' THEN ce_varchar.value
WHEN 'int' THEN ce_int.value
WHEN 'text' THEN ce_text.value
WHEN 'decimal' THEN ce_decimal.value
WHEN 'datetime' THEN ce_datetime.value
ELSE NULL
END AS value
FROM customer_entity AS ce
LEFT JOIN eav_attribute AS ea ON ce.entity_type_id = ea.entity_type_id
LEFT JOIN customer_entity_varchar AS ce_varchar ON ce.entity_id = ce_varchar.entity_id AND ea.attribute_id = ce_varchar.attribute_id AND ea.backend_type = 'varchar'
LEFT JOIN customer_entity_int AS ce_int ON ce.entity_id = ce_int.entity_id AND ea.attribute_id = ce_int.attribute_id AND ea.backend_type = 'int'
LEFT JOIN customer_entity_text AS ce_text ON ce.entity_id = ce_text.entity_id AND ea.attribute_id = ce_text.attribute_id AND ea.backend_type = 'text'
LEFT JOIN customer_entity_decimal AS ce_decimal ON ce.entity_id = ce_decimal.entity_id AND ea.attribute_id = ce_decimal.attribute_id AND ea.backend_type = 'decimal'
LEFT JOIN customer_entity_datetime AS ce_datetime ON ce.entity_id = ce_datetime.entity_id AND ea.attribute_id = ce_datetime.attribute_id AND ea.backend_type = 'datetime'
我读了上面的内容，知道有些人正试图解决我的问题，我感觉好多了。 嗯，你可能知道，你在magento后台办公室找不到关于你客户的全部信息。 我想有一个非常大的表，在那里我可以看到我所有的客户（那些拥有账户=已注册的客户）（以及那些刚刚注册到《新闻快报》时事通讯订户的客户） 因为我不知道magento是如何提供这些信息的，所以我编写了SOMSQL代码来提取数据 如上所述，您不可能在一个查询中获得有关客户端的所有信息。实际上，您将需要与客户机属性一样多的查询。 如果实体客户端有45个属性（名称、姓氏、中间名、电子邮件…） 然后您将需要45个查询来提取它们。。。 我的问题是如何 答案是观点！！ 实际上，我编写了视图来提取每个属性信息。这意味着我写了45个纹理，每个视图选择一个属性 我不知道它是如何在您的数据库中完成的，但是，您可能知道每个实体都有一个实体类型id。 在我的例子中，我对customer\u实体和customer\u address\u实体感兴趣。 客户实体的实体类型id=1 客户地址实体具有实体类型id=2 每个实体都有属性。因此，如果要查看客户实体的可用属性，请运行查询：
从实体类型id=1的eav\u属性中选择属性代码、属性id、后端类型谢谢这是一个从magento表中提取客户详细信息的小查询：
select c.*,
(select fn.value from customer_entity_varchar fn where c.entity_id = fn.entity_id and
fn.attribute_id = 5) as Name,
(select fn.value from customer_entity_varchar fn where c.entity_id = fn.entity_id and
fn.attribute_id = 7) as Lastname
from customer_entity c
我特别尝试从我的Magento商店出口客户的手机号码 首先，您可以使用扩展到客户数据集的数据配置文件来实现这一点 在我的例子中，data profiles函数由于某种原因无法正常工作，因为我没有时间弄清楚为什么我直接去MySQL获取数据 下面的MySQL查询将使您能够提取具有英国移动电话号码的客户。注意：您可能需要计算出所需数据的属性id，并在查询中相应地更新
attribute_id value
26 Country
19 First_Name
21 Surname
31 Telephone
SELECT
`firstname`.`value` as `First_Name`,
`surname`.`value` as `Surname`,
`telephone`.`value` as `Telephone`,
`customer_entity`.`created_at`,
`customer_entity`.`updated_at`
FROM
`customer_address_entity_varchar` as `country`
INNER JOIN
`customer_address_entity_varchar` as `firstname` USING (`entity_id`)
INNER JOIN
`customer_address_entity_varchar` as `surname` USING (`entity_id`)
INNER JOIN
`customer_address_entity_varchar` as `telephone` USING (`entity_id`)
INNER JOIN
`customer_entity` USING (`entity_id`)
WHERE
`country`.`attribute_id` = 26 &&
`country`.`value`="GB" &&
`firstname`.`attribute_id` = 19 &&
`surname`.`attribute_id` = 21 &&
`telephone`.`attribute_id` = 31 &&
`telephone`.`value` LIKE "07%"
GROUP BY `telephone`.`value`
limit 0,10;
希望这对某人有所帮助……我修改了安德烈·特塞库斯的伟大答案。并添加了一个新的WHERE子句。现在，您只需更换产品SKU，即可获得所有cu
SELECT
`firstname`.`value` as `First_Name`,
`surname`.`value` as `Surname`,
`telephone`.`value` as `Telephone`,
`customer_entity`.`created_at`,
`customer_entity`.`updated_at`
FROM
`customer_address_entity_varchar` as `country`
INNER JOIN
`customer_address_entity_varchar` as `firstname` USING (`entity_id`)
INNER JOIN
`customer_address_entity_varchar` as `surname` USING (`entity_id`)
INNER JOIN
`customer_address_entity_varchar` as `telephone` USING (`entity_id`)
INNER JOIN
`customer_entity` USING (`entity_id`)
WHERE
`country`.`attribute_id` = 26 &&
`country`.`value`="GB" &&
`firstname`.`attribute_id` = 19 &&
`surname`.`attribute_id` = 21 &&
`telephone`.`attribute_id` = 31 &&
`telephone`.`value` LIKE "07%"
GROUP BY `telephone`.`value`
limit 0,10;
SELECT customer_address_entity_varchar.value, customer_entity.entity_id
FROM customer_address_entity_varchar
LEFT JOIN customer_address_entity
ON customer_address_entity_varchar.entity_id = customer_address_entity.entity_id
LEFT JOIN customer_entity
ON customer_address_entity.parent_id = customer_entity.entity_id
WHERE attribute_id =31
SELECT c.entity_id,c.email,
(
SELECT fn.value
FROM customer_entity_varchar fn
WHERE c.entity_id = fn.entity_id AND
fn.attribute_id = 12) AS password_hash,
(
SELECT fn.value
FROM customer_entity_varchar fn
WHERE c.entity_id = fn.entity_id AND
fn.attribute_id = 5) AS name,
(
SELECT fn.value
FROM customer_entity_varchar fn
WHERE c.entity_id = fn.entity_id AND
fn.attribute_id = 7) AS lastname,
(
SELECT fn.value
FROM customer_entity_varchar fn
WHERE c.entity_id = fn.entity_id AND
fn.attribute_id = 150) AS cpfcnpj,
(
SELECT fn.value
FROM customer_address_entity_varchar fn
WHERE ca.entity_id = fn.entity_id AND
fn.attribute_id = 149) AS cpfcnpj2,
(
SELECT fn.value
FROM customer_address_entity_varchar fn
WHERE ca.entity_id = fn.entity_id AND
fn.attribute_id = 145) AS rg,
(
SELECT fn.value
FROM customer_address_entity_varchar fn
WHERE ca.entity_id = fn.entity_id AND
fn.attribute_id = 151) AS phone1,
(
SELECT fn.value
FROM customer_address_entity_varchar fn
WHERE ca.entity_id = fn.entity_id AND
fn.attribute_id = 31) AS phone2,
(
SELECT fn.value
FROM customer_address_entity_varchar fn
WHERE ca.entity_id = fn.entity_id AND
fn.attribute_id = 27) AS country,
(
SELECT fn.value
FROM customer_address_entity_varchar fn
WHERE ca.entity_id = fn.entity_id AND
fn.attribute_id = 28) AS state,
(
SELECT fn.value
FROM customer_address_entity_varchar fn
WHERE ca.entity_id = fn.entity_id AND
fn.attribute_id = 26) AS city,
cat.value AS address,
(
SELECT fn.value
FROM customer_address_entity_varchar fn
WHERE ca.entity_id = fn.entity_id AND
fn.attribute_id = 30) AS cep
FROM customer_entity AS c
LEFT JOIN customer_address_entity AS ca ON c.entity_id = ca.parent_id
LEFT JOIN customer_address_entity_text AS cat ON cat.entity_id = ca.entity_id
GROUP BY entity_id
SELECT c.email, cv.value as fname, cv2.value as lname
FROM customer_entity c, customer_entity_varchar cv, customer_entity_varchar cv2
WHERE c.entity_id = $user_id
AND c.entity_id = cv.entity_id
AND cv.attribute_id = 5
AND c.entity_id = cv2.entity_id
AND cv2.attribute_id = 7
if (Mage::getSingleton('customer/session')->isLoggedIn()) {
$customer = Mage::getSingleton('customer/session')->getCustomer();
$customerData = Mage::getModel('customer/customer')->load($customer->getId())->getData();
Mage::log($customerData);}
Array
(
[entity_id] => 1
[entity_type_id] => 1
[attribute_set_id] => 0
[website_id] => 1
[email] => test@example.com
[group_id] => 1
[increment_id] => 000000001
[store_id] => 1
[created_at] => 2007-08-30 23:23:13
[updated_at] => 2008-08-08 12:28:24
[is_active] => 1
[firstname] => Test
[lastname] => User
[password_hash] => 204948a40200e4238db2277d5:eg
[prefix] =>
[middlename] =>
[suffix] =>
[taxvat] =>
[default_billing] => 274
[default_shipping] => 274
)
select c.entity_id, c.email,
a.attribute_id, a.attribute_code, a.frontend_label, a.backend_type, a.frontend_input,
case a.backend_type
when 'int' then coalesce(o.value, cei.value)
when 'varchar' then cev.value
end as value
from customer_entity c
left join eav_attribute a on a.entity_type_id = c.entity_type_id
left join customer_entity_int cei on a.backend_type = 'int' and cei.attribute_id = a.attribute_id and cei.entity_id = c.entity_id and cei.entity_type_id = c.entity_type_id
left join customer_entity_varchar cev on a.backend_type = 'varchar' and cev.attribute_id = a.attribute_id and cev.entity_id = c.entity_id and cev.entity_type_id = c.entity_type_id
left join eav_attribute_option_value o on a.backend_type = 'int' and a.frontend_input = 'select' /* and o.store_id = c.store_id */ and o.option_id = cei.value
-- where c.entity_id = 17651
having value is not null
order by c.entity_id, a.attribute_code;