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mysql - 定制的客户网格导致 MySQL 表扫描和文件排序也就是性能下降

转载 作者:IT老高 更新时间:2023-10-29 00:12:42 26 4
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Magento 企业。 1.10.1.1。客户和地址的数据集是半大型 (125k+) CSR 通常在这个网格上(有时同时有 25+ 个并发用户)。

这是在客户 Grid.php Block 文件中生成集合的代码片段。没什么特别的或不寻常的,主要是简单地向集合添加属性。

$collection = Mage::getResourceModel('customer/customer_collection')
->addNameToSelect()
->addAttributeToSelect('email')
->addAttributeToSelect('group_id')
->addAttributeToSelect('prod_codes')
->addAttributeToSelect('last_called_date')
->addAttributeToSelect('time_zone')
->addAttributeToSelect('salesrep')
->addAttributeToSelect('do_not_call')
->addAttributeToSelect('club_member')
->addAttributeToSelect('call_back_date')
->addAttributeToSelect('marketing_code_outcome')
->joinAttribute('billing_postcode', 'customer_address/postcode', 'default_billing', null, 'left')
->joinAttribute('billing_city', 'customer_address/city', 'default_billing', null, 'left')
->joinAttribute('billing_telephone', 'customer_address/telephone', 'default_billing', null, 'left')
->joinAttribute('billing_region', 'customer_address/region', 'default_billing', null, 'left');

$this->setCollection($collection);

生成此查询,其行为不当导致在客户网格中加载时间过长:

SELECT 
e . *,
_table_prefix.value AS prefix,
_table_firstname.value AS firstname,
_table_middlename.value AS middlename,
_table_lastname.value AS lastname,
_table_suffix.value AS suffix,
CONCAT(IF(_table_prefix.value IS NOT NULL AND _table_prefix.value != '',
CONCAT(TRIM(_table_prefix.value), ' '),
''),
TRIM(_table_firstname.value),
IF(_table_middlename.value IS NOT NULL AND _table_middlename.value != '',
CONCAT(' ', TRIM(_table_middlename.value)),
''),
' ',
TRIM(_table_lastname.value),
IF(_table_suffix.value IS NOT NULL AND _table_suffix.value != '',
CONCAT(' ', TRIM(_table_suffix.value)),
'')) AS name,
_table_default_billing.value AS default_billing,
_table_billing_postcode.value AS billing_postcode,
_table_billing_city.value AS billing_city,
_table_billing_telephone.value AS billing_telephone,
_table_billing_region.value AS billing_region
FROM
customer_entity AS e
LEFT JOIN
customer_entity_varchar AS _table_prefix ON (_table_prefix.entity_id = e.entity_id) AND (_table_prefix.attribute_id = '4')
LEFT JOIN
customer_entity_varchar AS _table_firstname ON (_table_firstname.entity_id = e.entity_id) AND (_table_firstname.attribute_id = '5')
LEFT JOIN
customer_entity_varchar AS _table_middlename ON (_table_middlename.entity_id = e.entity_id) AND (_table_middlename.attribute_id = '6')
LEFT JOIN
customer_entity_varchar AS _table_lastname ON (_table_lastname.entity_id = e.entity_id) AND (_table_lastname.attribute_id = '7')
LEFT JOIN
customer_entity_varchar AS _table_suffix ON (_table_suffix.entity_id = e.entity_id) AND (_table_suffix.attribute_id = '8')
LEFT JOIN
customer_entity_int AS _table_default_billing ON (_table_default_billing.entity_id = e.entity_id) AND (_table_default_billing.attribute_id = '13')
LEFT JOIN
customer_address_entity_varchar AS _table_billing_postcode ON (_table_billing_postcode.entity_id = _table_default_billing.value) AND (_table_billing_postcode.attribute_id = '29')
LEFT JOIN
customer_address_entity_varchar AS _table_billing_city ON (_table_billing_city.entity_id = _table_default_billing.value) AND (_table_billing_city.attribute_id = '25')
LEFT JOIN
customer_address_entity_varchar AS _table_billing_telephone ON (_table_billing_telephone.entity_id = _table_default_billing.value) AND (_table_billing_telephone.attribute_id = '30')
LEFT JOIN
customer_address_entity_varchar AS _table_billing_region ON (_table_billing_region.entity_id = _table_default_billing.value) AND (_table_billing_region.attribute_id = '27')
WHERE
(e.entity_type_id = '1')
ORDER BY CONCAT(IF(_table_prefix.value IS NOT NULL AND _table_prefix.value != '',
CONCAT(TRIM(_table_prefix.value), ' '),
''),
TRIM(_table_firstname.value),
IF(_table_middlename.value IS NOT NULL AND _table_middlename.value != '',
CONCAT(' ', TRIM(_table_middlename.value)),
''),
' ',
TRIM(_table_lastname.value),
IF(_table_suffix.value IS NOT NULL AND _table_suffix.value != '',
CONCAT(' ', TRIM(_table_suffix.value)),
'')) desc
LIMIT 20 OFFSET 60

查询中的 EXPLAIN 显示,注意表 e 上的 Extra,使用临时文件和使用文件排序:

*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: e
type: ref
possible_keys: IDX_ENTITY_TYPE
key: IDX_ENTITY_TYPE
key_len: 2
ref: const
rows: 55556
Extra: Using temporary; Using filesort
*************************** 2. row ***************************
id: 1
select_type: SIMPLE
table: _table_prefix
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_VARCHAR_ATTRIBUTE,FK_CUSTOMER_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod.e.entity_id,const
rows: 1
Extra:
*************************** 3. row ***************************
id: 1
select_type: SIMPLE
table: _table_firstname
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_VARCHAR_ATTRIBUTE,FK_CUSTOMER_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod.e.entity_id,const
rows: 1
Extra:
*************************** 4. row ***************************
id: 1
select_type: SIMPLE
table: _table_middlename
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_VARCHAR_ATTRIBUTE,FK_CUSTOMER_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod.e.entity_id,const
rows: 1
Extra:
*************************** 5. row ***************************
id: 1
select_type: SIMPLE
table: _table_lastname
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_VARCHAR_ATTRIBUTE,FK_CUSTOMER_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod.e.entity_id,const
rows: 1
Extra:
*************************** 6. row ***************************
id: 1
select_type: SIMPLE
table: _table_suffix
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_VARCHAR_ATTRIBUTE,FK_CUSTOMER_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod.e.entity_id,const
rows: 1
Extra:
*************************** 7. row ***************************
id: 1
select_type: SIMPLE
table: _table_default_billing
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_INT_ATTRIBUTE,FK_CUSTOMER_INT_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod.e.entity_id,const
rows: 1
Extra:
*************************** 8. row ***************************
id: 1
select_type: SIMPLE
table: _table_billing_postcode
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_ADDRESS_VARCHAR_ATTRIBUTE,FK_CUSTOMER_ADDRESS_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod._table_default_billing.value,const
rows: 1
Extra:
*************************** 9. row ***************************
id: 1
select_type: SIMPLE
table: _table_billing_city
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_ADDRESS_VARCHAR_ATTRIBUTE,FK_CUSTOMER_ADDRESS_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod._table_default_billing.value,const
rows: 1
Extra:
*************************** 10. row ***************************
id: 1
select_type: SIMPLE
table: _table_billing_telephone
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_ADDRESS_VARCHAR_ATTRIBUTE,FK_CUSTOMER_ADDRESS_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod._table_default_billing.value,const
rows: 1
Extra:
*************************** 11. row ***************************
id: 1
select_type: SIMPLE
table: _table_billing_region
type: eq_ref
possible_keys: IDX_ATTRIBUTE_VALUE,FK_CUSTOMER_ADDRESS_VARCHAR_ATTRIBUTE,FK_CUSTOMER_ADDRESS_VARCHAR_ENTITY,IDX_VALUE
key: IDX_ATTRIBUTE_VALUE
key_len: 6
ref: prod._table_default_billing.value,const
rows: 1
Extra:
11 rows in set (0.00 sec)

除了 1.10.1 的 Magento 本身的默认索引外,没有修改任何索引请参阅此处的 1.5.1 (CE) 结构:http://www.magereverse.com/index/magento-sql-structure/version/1-5-1-0

这里是引用AS e的别名表。在扫描上:

CREATE TABLE `customer_entity` (
`entity_id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT,
`entity_type_id` SMALLINT(8) UNSIGNED NOT NULL DEFAULT '0',
`attribute_set_id` SMALLINT(5) UNSIGNED NOT NULL DEFAULT '0',
`website_id` SMALLINT(5) UNSIGNED NULL DEFAULT NULL,
`email` VARCHAR(255) NOT NULL DEFAULT '',
`group_id` SMALLINT(3) UNSIGNED NOT NULL DEFAULT '0',
`increment_id` VARCHAR(50) NOT NULL DEFAULT '',
`store_id` SMALLINT(5) UNSIGNED NULL DEFAULT '0',
`created_at` DATETIME NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` DATETIME NOT NULL DEFAULT '0000-00-00 00:00:00',
`is_active` TINYINT(1) UNSIGNED NOT NULL DEFAULT '1',
PRIMARY KEY (`entity_id`),
INDEX `FK_CUSTOMER_ENTITY_STORE` (`store_id`),
INDEX `IDX_ENTITY_TYPE` (`entity_type_id`),
INDEX `IDX_AUTH` (`email`, `website_id`),
INDEX `FK_CUSTOMER_WEBSITE` (`website_id`),
CONSTRAINT `FK_CUSTOMER_ENTITY_STORE` FOREIGN KEY (`store_id`) REFERENCES `core_store` (`store_id`) ON UPDATE CASCADE ON DELETE SET NULL,
CONSTRAINT `FK_CUSTOMER_WEBSITE` FOREIGN KEY (`website_id`) REFERENCES `core_website` (`website_id`) ON UPDATE CASCADE ON DELETE SET NULL
)

所以问题是我怎样才能让这个查询更好地执行而不导致创建和扫描临时表。

我不确定我可以索引什么来提高查询性能,而且我不想深入研究修改 Magento 的 ORM。

最佳答案

我不熟悉 Magento Enterprise,但从 MySQL 的角度来看,我会寻找一种方法来替换它

ORDER BY CONCAT(IF(_table_prefix.value IS NOT NULL AND _table_prefix.value != '',
CONCAT(TRIM(_table_prefix.value), ' '),
''),
TRIM(_table_firstname.value),
IF(_table_middlename.value IS NOT NULL AND _table_middlename.value != '',
CONCAT(' ', TRIM(_table_middlename.value)),
''),
' ',
TRIM(_table_lastname.value),
IF(_table_suffix.value IS NOT NULL AND _table_suffix.value != '',
CONCAT(' ', TRIM(_table_suffix.value)),
'')) desc

具有 name 的预先计算值。这将消除双重计算。

关于mysql - 定制的客户网格导致 MySQL 表扫描和文件排序也就是性能下降,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/13275515/

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