0

MySQLにmagentoの大きなクエリがありますが、これにはかなりの時間がかかります。私はそれを最適化しようとしましたが、私のMySQLの知識はそれを解決するのに十分ではないので、誰かが見て、正しい方向にいくつかのヒントを教えてくれるかもしれません。

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

WHERE句に条件が1つしかない場合はすべて問題ありませんが、ORを使用すると、完了するまでに数分かかることがあり、それは長すぎます。より良い結果を得るには、どのオプションが必要ですか?もう1つの問題は、これからこれ以上クエリを実行できず、結果を結合するだけで済むことです。すべてが1つのクエリに含まれている必要があります。

クエリでEXPLAINを実行すると、次の結果が得られます(概要をわかりやすくするためにJSON形式でコピーされています)。

{
        "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"
            }
        ]
    }
4

4 に答える 4

1

1つの条件を持つ各クエリが個別に高速である場合は、次のことを試してください。

Select
  blah
Where
  is_uni.value = 1
Union
Select
  blah
Where
  beta.product_id Is Not Null

それらがあまり多くの結果を返さない限り、これもかなり速いでしょう。

または、1つの条件ですばやく言ったとき、最初の条件を意味しましたか?

于 2012-11-16T19:57:42.060 に答える
1

beta.product_idこれが主キーでない限り、インデックスが必要なようです。

それ以外の場合は、それぞれが異なるwhere句を持つUnionクエリとしてこれを行うことができます。

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

データに応じて、ORが相互に排他的なデータである場合は、UNIONALLを使用できます。実行しているクエリは、ORステートメントで高速に実行するために必要なINDEXMERGEを十分に活用できません。

于 2012-11-16T20:01:13.870 に答える
1

複数の解決策があります:

1)クエリを分割してUNIONを使用する-並べ替えとページ付けの問題が発生する可能性があります2)このフィルターにのみ使用される新しいプロパティを追加します。

is_uni.value=1またはbeta.product_idがNULLではない

クエリのみを実行します

feature_filter = 1

3)クエリを複数のクエリに分解する-これと同じくらい大きなクエリは自分の足を撃つための本当に素晴らしい方法なので、これを最初のステップとして提案します

ところで。非常に多くの列でdistinctonqueryを使用すると、多くのリソースが消費されます(mysqlは各列の値を比較する必要があります!)

于 2012-11-16T20:34:39.333 に答える
0

提案:

1.)代わりに

beta.product_id IS NOT NULL

書きます

not (beta.product_id IS NULL)

2.)クエリに対して単一のリクエストが必要な場合は、ストアドプロシージャまたはストアド関数を作成できます。もちろん、複数のクエリを使用し、最後に単一のデータベースサーバーリクエストを使用して部分的な結果をマージすることができます。

3.)複雑なdbロジックがある場合は、FlourishのようなORMを使用します。

がんばって。

于 2012-11-16T20:14:11.853 に答える