我在MySQL中有一个关于magento的大问题，这需要花费很多时间。我试图优化它，但我的MySQL知识不足以让它解决，所以也许有人可以看看并给我一些正确方向的提示。
Select Distinct
`e`.*,
`cat_index`.`position` AS `cat_index_position`,
`price_index`.`price`,
`price_index`.`tax_class_id`,
`price_index`.`final_price`,
IF(price_index.tier_price IS NOT NULL,
LEAST(price_index.min_price, price_index.tier_price),
price_index.min_price) AS `minimal_price`,
`price_index`.`min_price`,
`price_index`.`max_price`,
`price_index`.`tier_price`
From
`catalog_product_entity` AS `e`
Inner Join
`catalog_category_product_index` As `cat_index`
On cat_index.product_id=e.entity_id And
cat_index.store_id=1 And
cat_index.visibility In(2, 4) And
cat_index.category_id='2'
Inner Join
`catalog_product_index_price` AS `price_index`
On price_index.entity_id = e.entity_id And
price_index.website_id = '1' And
price_index.customer_group_id = 0
Left Join
`beta_entity_product` AS `beta`
On e.entity_id = beta.product_id And
beta.entity_id In (81558, 81559, ... stupidly long list of ids)
Left Join
`catalog_product_entity_int` AS `is_uni`
On e.entity_id = is_uni.entity_id And
attribute_id = 179
Where
is_uni.value = 1 OR
beta.product_id IS NOT NULL
如果我在WHERE子句中只有一个条件，一切都很好，但是使用OR它有时需要几分钟才能完成，这太长了。我有哪些选择可以获得更好的结果？另一个问题是我无法从中获得更多查询，只是将结果加在一起。一切都必须在1个查询中。
当我对查询执行EXPLAIN时，我得到以下结果（以JSON格式复制以获得更好的概述）：
{
"data":
[
{
"id": 1,
"select_type": "SIMPLE",
"table": "e",
"type": "ALL",
"possible_keys": "PRIMARY",
"key": null,
"key_len": null,
"ref": null,
"rows": 213396,
"Extra": "Using temporary"
},
{
"id": 1,
"select_type": "SIMPLE",
"table": "beta",
"type": "range",
"possible_keys": "PRIMARY",
"key": "PRIMARY",
"key_len": "4",
"ref": null,
"rows": 2833,
"Extra": "Using where; Using index"
},
{
"id": 1,
"select_type": "SIMPLE",
"table": "is_uni",
"type": "ref",
"possible_keys": "UNQ_CATALOG_PRODUCT_ENTITY_INT_ENTITY_ID_ATTRIBUTE_ID_STORE_ID,IDX_CATALOG_PRODUCT_ENTITY_INT_ATTRIBUTE_ID,IDX_CATALOG_PRODUCT_ENTITY_INT_ENTITY_ID",
"key": "UNQ_CATALOG_PRODUCT_ENTITY_INT_ENTITY_ID_ATTRIBUTE_ID_STORE_ID",
"key_len": "6",
"ref": "unc_cpk.e.entity_id,const",
"rows": 1,
"Extra": "Using where"
},
{
"id": 1,
"select_type": "SIMPLE",
"table": "cat_index",
"type": "eq_ref",
"possible_keys": "PRIMARY,IDX_CAT_CTGR_PRD_IDX_PRD_ID_STORE_ID_CTGR_ID_VISIBILITY,15D3C269665C74C2219037D534F4B0DC",
"key": "PRIMARY",
"key_len": "10",
"ref": "const,unc_cpk.e.entity_id,const",
"rows": 1,
"Extra": "Using where"
},
{
"id": 1,
"select_type": "SIMPLE",
"table": "price_index",
"type": "eq_ref",
"possible_keys": "PRIMARY,IDX_CATALOG_PRODUCT_INDEX_PRICE_CUSTOMER_GROUP_ID,IDX_CATALOG_PRODUCT_INDEX_PRICE_WEBSITE_ID",
"key": "PRIMARY",
"key_len": "8",
"ref": "unc_cpk.cat_index.product_id,const,const",
"rows": 1,
"Extra": "Using where"
}
]
}
答案 0 :(得分：1)
如果具有一个条件的每个查询都是单独快速的，请尝试执行
Select
blah
Where
is_uni.value = 1
Union
Select
blah
Where
beta.product_id Is Not Null
只要它们没有返回太多结果，这也会相当快。
或者当你快速说出一个条件时，你的意思是第一个吗？
答案 1 :(得分：1)
看起来您需要beta.product_id上的索引，除非这是您的主键吗？
否则，您可以将此作为Union查询，每个查询具有不同的where子句：
SELECT DISTINCT `e`.*, `cat_index`.`position` AS `cat_index_position`, `price_index`.`price`,
`price_index`.`tax_class_id`, `price_index`.`final_price`, IF(price_index.tier_price IS NOT
NULL, LEAST(price_index.min_price, price_index.tier_price),
price_index.min_price) AS `minimal_price`, `price_index`.`min_price`,
`price_index`.`max_price`, `price_index`.`tier_price`
FROM `catalog_product_entity` AS `e`
INNER JOIN `catalog_category_product_index` AS `cat_index` ON cat_index.product_id=e.entity_id
AND cat_index.store_id=1 AND cat_index.visibility IN(2, 4) AND cat_index.category_id='2'
INNER JOIN `catalog_product_index_price` AS `price_index` ON price_index.entity_id = e.entity_id
AND price_index.website_id = '1' AND price_index.customer_group_id = 0
LEFT JOIN `beta_entity_product` AS `beta` ON e.entity_id = beta.product_id AND beta.entity_id IN (81558,81559,84592,84593,87758,87759,87760,87761,90944,90945,90946,90947,94364,94365,94366,94367,98458,98459,98460,98461,98462,98463,104194,104195,104196,104197,110151,110152,110153,110154,110155,110156,116583,116584,116585,116586,123366,123367,123368,123369,123370,123371,123372,123373,130500,130501,130502,130503,130504,130505,130506,138075,138076,138077,138078,138079,138080,146179,146180,146181,146182,146183,146184,154543,154544,154545,154546,154547,154548,154549,154550,163639,163640,163641,163642,163643,163644,163645,173998,173999,174000,174001,174002,174003,174004,174005,174006,174007,184545,184546,184547,184548,184549,184550,195249,195250,195251,195252,195253,195254,195255,195256,195257,195258,206400,206401,206402,206403,206404,206405,217632,217633,217634,217635,217636,217637,217638,217639,229029,229030,229031,229032,229033,229034,229035,229036,229037,229038,229039,229040,240350,240351,240352,240353,240354,240355,240356,240357,240358,240359,240360,240361,251631,251632,251633,251634,251635,251636,251637,251638,251639,262900,262901,262902,262903,262904,262905,262906,262907,262908,262909,274205,274206,274207,274208,274209,274210,274211,274212,274213,274214,274215,274216,274217,285747,285748,285749,285750,285751,285752,285753,285754,285755,285756,285757,285758,297747,297748,297749,297750,297751,297752,297753,297754,297755,297756,297757,297758,297759,297760,297761,309660,309661,309662,309663,309664,309665,309666,309667,322314,322315,322316,322317,322318,322319,322320,322321,334814,334815,334816,334817,334818,334819,334820,334821,334822,334823,334824,334825,334826,346810,346811,346812,346813,346814,346815,346816,346817,346818,346819,346820,346821,358550,358551,358552,358553,358554,358555,358556,358557,358558,358559,358560,358561,358562,370376,370377,370378,370379,370380,370381,370382,370383,370384,370385,370386,370387,381938,381939,381940,381941,381942,381943,381944,381945,381946,381947,381948,381949,381950,391081,391082,391083,391084,391085,391086,391087,391088,391089,391090,391091,391092,391093,396111,396112,396113,396114,396115,396116,396117,396118,396119,396120,396121,396122,396123,396124,396125)
LEFT JOIN `catalog_product_entity_int` AS `is_uni` ON e.entity_id = is_uni.entity_id AND attribute_id = 179
WHERE is_uni.value = 1
UNION
SELECT DISTINCT `e`.*, `cat_index`.`position` AS `cat_index_position`, `price_index`.`price`,
`price_index`.`tax_class_id`, `price_index`.`final_price`, IF(price_index.tier_price IS NOT
NULL, LEAST(price_index.min_price, price_index.tier_price),
price_index.min_price) AS `minimal_price`, `price_index`.`min_price`,
`price_index`.`max_price`, `price_index`.`tier_price`
FROM `catalog_product_entity` AS `e`
INNER JOIN `catalog_category_product_index` AS `cat_index` ON cat_index.product_id=e.entity_id
AND cat_index.store_id=1 AND cat_index.visibility IN(2, 4) AND cat_index.category_id='2'
INNER JOIN `catalog_product_index_price` AS `price_index` ON price_index.entity_id = e.entity_id
AND price_index.website_id = '1' AND price_index.customer_group_id = 0
LEFT JOIN `beta_entity_product` AS `beta` ON e.entity_id = beta.product_id AND beta.entity_id IN (81558,81559,84592,84593,87758,87759,87760,87761,90944,90945,90946,90947,94364,94365,94366,94367,98458,98459,98460,98461,98462,98463,104194,104195,104196,104197,110151,110152,110153,110154,110155,110156,116583,116584,116585,116586,123366,123367,123368,123369,123370,123371,123372,123373,130500,130501,130502,130503,130504,130505,130506,138075,138076,138077,138078,138079,138080,146179,146180,146181,146182,146183,146184,154543,154544,154545,154546,154547,154548,154549,154550,163639,163640,163641,163642,163643,163644,163645,173998,173999,174000,174001,174002,174003,174004,174005,174006,174007,184545,184546,184547,184548,184549,184550,195249,195250,195251,195252,195253,195254,195255,195256,195257,195258,206400,206401,206402,206403,206404,206405,217632,217633,217634,217635,217636,217637,217638,217639,229029,229030,229031,229032,229033,229034,229035,229036,229037,229038,229039,229040,240350,240351,240352,240353,240354,240355,240356,240357,240358,240359,240360,240361,251631,251632,251633,251634,251635,251636,251637,251638,251639,262900,262901,262902,262903,262904,262905,262906,262907,262908,262909,274205,274206,274207,274208,274209,274210,274211,274212,274213,274214,274215,274216,274217,285747,285748,285749,285750,285751,285752,285753,285754,285755,285756,285757,285758,297747,297748,297749,297750,297751,297752,297753,297754,297755,297756,297757,297758,297759,297760,297761,309660,309661,309662,309663,309664,309665,309666,309667,322314,322315,322316,322317,322318,322319,322320,322321,334814,334815,334816,334817,334818,334819,334820,334821,334822,334823,334824,334825,334826,346810,346811,346812,346813,346814,346815,346816,346817,346818,346819,346820,346821,358550,358551,358552,358553,358554,358555,358556,358557,358558,358559,358560,358561,358562,370376,370377,370378,370379,370380,370381,370382,370383,370384,370385,370386,370387,381938,381939,381940,381941,381942,381943,381944,381945,381946,381947,381948,381949,381950,391081,391082,391083,391084,391085,391086,391087,391088,391089,391090,391091,391092,391093,396111,396112,396113,396114,396115,396116,396117,396118,396119,396120,396121,396122,396123,396124,396125)
LEFT JOIN `catalog_product_entity_int` AS `is_uni` ON e.entity_id = is_uni.entity_id AND attribute_id = 179
WHERE beta.product_id IS NOT NULL
根据您的数据以及OR是互斥数据，您可以使用UNION ALL。您正在运行的查询无法充分利用使用OR语句快速运行所需的INDEX MERGE。
答案 2 :(得分：1)
有多种解决方案：
1）拆分查询并使用UNION - 可能的排序和分页问题 2）添加仅用于此过滤器的新属性，而不是
is_uni.value = 1或beta.product_id IS NOT NULL
你只会查询
feature_filter = 1
3）将查询分解为多个查询 - 我建议这是第一步，因为像这个一样大的查询真的是很好的方式来拍摄自己的脚
顺便说一句。在这么多列上使用distinct on query会占用大量资源（mysql需要比较每个列值！）
答案 3 :(得分：0)