重现步骤
反馈人:袁慧斌
数据库:zhcxkj_center_listing_comprehensive
查询时间:164.786
执行次数: 289
扫描行数:7085570
发送行数:294.228
指纹SQL: SELECT Id AS Id , ? AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST ( Status AS CHAR ) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , ? AS IsSyncSuccess , ? AS SyncType FROM T_Listing_Mercadolibre WHERE ( ( ( Source_Id = ? ) AND ( Update_Time >= timestamp ( ? ) ) ) AND ( Update_Time <= timestamp ( ? ) ) ) ORDER BY Id LIMIT ? , ? ;
真实SQL:SELECT Id AS Id , 1 AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST(Status AS CHAR) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , 1 AS IsSyncSuccess , 2 AS SyncType FROM T_Listing_Mercadolibre WHERE ((( Source_Id =28058) AND ( Update_Time >= timestamp(2025-08-28 01:55:00) )) AND ( Update_Time <= timestamp(2025-08-28 04:00:00) )) ORDER BY Id LIMIT 0,300;
袁慧斌,人工修改过
AISQL修改建议:以下是优化后的SQL语句:


SELECT Id AS Id,
1 AS CustomerId,
Source_Id AS OrderSourceIdByLong,
Site_Id AS SiteId,
Sku AS Sku,
Source_Sku AS SellerSku,
Pf_Global_Listing_Id AS ProductId,
Pf_Listing_Id AS SiteProductId,
sale_price AS Price,
Stock AS Quantity,
Category_Id AS CategoryId,
Publish_Time AS PublishTime,
Update_Time AS UpdateTime,
pf_online_time AS DateCreated,
logistic_type AS LogisticType,
Title AS SiteTitle,
CAST(Status AS CHAR) AS Status,
original_price AS OriginalPrice,
sub_status AS SubStatus,
1 AS IsSyncSuccess,
2 AS SyncType
FROM T_Listing_Mercadolibre
WHERE Source_Id = 28058
AND Update_Time BETWEEN 2025-08-28 01:55:00 AND 2025-08-28 04:00:00
ORDER BY Id
LIMIT 300;


优化说明:
1. 简化了WHERE条件,使用BETWEEN替代了多个时间比较
2. 移除了不必要的括号嵌套
3. 简化了LIMIT语法(从LIMIT 0,300改为直接LIMIT 300)
4. 移除了timestamp函数调用,使用直接的日期字符串
5. 保持相同的查询逻辑,但使语句更简洁高效
explain表:






id select_type table partitions type possible_keys key key_len ref rows filtered Extra
1 SIMPLE T_Listing_Mercadolibre None range uk_source_id_country_code_pf_listing_logistic_type_platform_type,idx_update_time,idx_source_id_update_time,idx_source_site_status,idx_listing_mercadolibre_optim idx_source_id_update_time 14 None 304 100 Using index condition; Using filesort

额外建议:查看是否缺少索引
索引建议:

历史记录  
  1. 2025-09-08 09:16:14, 由 陈莉珍 创建。
  2. 2025-09-08 11:03:51, 由 蔡俊伟 指派给 李乐同。
    修改了 指派给,旧值为 "caijunwei",新值为 "liletong"。
    .net 代码调整  协调下
  3. 2025-09-08 16:40:07, 由 李乐同 指派给 刘瀚泽。
    修改了 指派给,旧值为 "liletong",新值为 "liuhanze"。
    之前也有过,说转需求处理,但还是有,确认一下解决完了没有
  4. 2025-09-08 17:02:57, 由 刘瀚泽 指派给 韦思成。
    修改了 指派给,旧值为 "liuhanze",新值为 "weisicheng"。
    按照沟通结论处理,可以先关闭掉listing同步服务,这个bug 也就处理掉了
  5. 2025-09-08 17:58:30, 由 韦思成 解决,方案为 历史bug(180天以上) 。
    修改了 解决方案,旧值为 "",新值为 "history"。
    修改了 解决版本,旧值为 "",新值为 "trunk"。
    修改了 解决日期,旧值为 "",新值为 "2025-09-08 17:58:14"。
    修改了 指派给 ,旧值为 "weisicheng",新值为 "chenlizhen"。
    修改了 Bug状态 ,旧值为 "active",新值为 "resolved"。
    修改了 是否确认,旧值为 "0",新值为 "1"。
    修改了 解决者 ,旧值为 "",新值为 "weisicheng"。

    已关闭

  6. 2025-09-08 19:48:51, 由 李乐同 编辑。
    修改了 所属模块 ,旧值为 "0",新值为 "1874"。
    修改了 业务部门 ,旧值为 "0",新值为 "2"。
    修改了 开发责任人,旧值为 "",新值为 "weisicheng"。
    修改了 测试责任人,旧值为 "",新值为 "hujian"。
    修改了 解决时效 ,旧值为 "0",新值为 "8.7"。
    修改了 重现步骤 ,区别为:
    001- 反馈人:袁慧斌
    001+ 反馈人:袁慧斌 数据库:zhcxkj_center_listing_comprehensive 查询时间:164.786 执行次数: 289 扫描行数:7085570 发送行数:294.228 指纹SQL: SELECT Id AS Id , ? AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST ( Status AS CHAR ) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , ? AS IsSyncSuccess , ? AS SyncType FROM T_Listing_Mercadolibre WHERE ( ( ( Source_Id = ? ) AND ( Update_Time &gt;= timestamp ( ? ) ) ) AND ( Update_Time &lt;= timestamp ( ? ) ) ) ORDER BY Id LIMIT ? , ? ; 真实SQL:SELECT Id AS Id , 1 AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST(Status AS CHAR) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , 1 AS IsSyncSuccess , 2 AS SyncType FROM T_Listing_Mercadolibre WHERE ((( Source_Id =28058) AND ( Update_Time &gt;= timestamp(2025-08-28 01:55:00) )) AND ( Update_Time &lt;= timestamp(2025-08-28 04:00:00) )) ORDER BY Id LIMIT 0,300; 袁慧斌,人工修改过 AISQL修改建议:以下是优化后的SQL语句: SELECT Id AS Id, 1 AS CustomerId, Source_Id AS OrderSourceIdByLong, Site_Id AS SiteId, Sku AS Sku, Source_Sku AS SellerSku, Pf_Global_Listing_Id AS ProductId, Pf_Listing_Id AS SiteProductId, sale_price AS Price, Stock AS Quantity, Category_Id AS CategoryId, Publish_Time AS PublishTime, Update_Time AS UpdateTime, pf_online_time AS DateCreated, logistic_type AS LogisticType, Title AS SiteTitle, CAST(Status AS CHAR) AS Status, original_price AS OriginalPrice, sub_status AS SubStatus, 1 AS IsSyncSuccess, 2 AS SyncType FROM T_Listing_Mercadolibre WHERE Source_Id = 28058 AND Update_Time BETWEEN 2025-08-28 01:55:00 AND 2025-08-28 04:00:00 ORDER BY Id LIMIT 300; 优化说明: 1. 简化了WHERE条件,使用BETWEEN替代了多个时间比较 2. 移除了不必要的括号嵌套 3. 简化了LIMIT语法(从LIMIT 0,300改为直接LIMIT 300) 4. 移除了timestamp函数调用,使用直接的日期字符串 5. 保持相同的查询逻辑,但使语句更简洁高效 explain表:id
    002- 数据库:zhcxkj_center_listing_comprehensive
    002+ select_type
    003- 查询时间:164.786
    003+ table
    004- 执行次数: 289
    004+ partitions
    005- 扫描行数:7085570
    005+ type
    006- 发送行数:294.228
    006+ possible_keys
    007- 指纹SQL: SELECT Id AS Id , ? AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST ( Status AS CHAR ) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , ? AS IsSyncSuccess , ? AS SyncType FROM T_Listing_Mercadolibre WHERE ( ( ( Source_Id = ? ) AND ( Update_Time &gt;= timestamp ( ? ) ) ) AND ( Update_Time &lt;= timestamp ( ? ) ) ) ORDER BY Id LIMIT ? , ? ;
    007+ key
    008- 真实SQL:SELECT Id AS Id , 1 AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST(Status AS CHAR) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , 1 AS IsSyncSuccess , 2 AS SyncType FROM T_Listing_Mercadolibre WHERE ((( Source_Id =28058) AND ( Update_Time &gt;= timestamp(2025-08-28 01:55:00) )) AND ( Update_Time &lt;= timestamp(2025-08-28 04:00:00) )) ORDER BY Id LIMIT 0,300;
    008+ key_len
    009- 袁慧斌,人工修改过
    009+ ref
    010- AISQL修改建议:以下是优化后的SQL语句:
    010+ rows
    011-
    011+ filtered
    012-
    012+ Extra
    013- SELECT Id AS Id,
    013+ 1
    014- 1 AS CustomerId,
    014+ SIMPLE
    015- Source_Id AS OrderSourceIdByLong,
    015+ T_Listing_Mercadolibre
    016- Site_Id AS SiteId,
    016+ None
    017- Sku AS Sku,
    017+ range
    018- Source_Sku AS SellerSku,
    018+ uk_source_id_country_code_pf_listing_logistic_type_platform_type,idx_update_time,idx_source_id_update_time,idx_source_site_status,idx_listing_mercadolibre_optim
    019- Pf_Global_Listing_Id AS ProductId,
    019+ idx_source_id_update_time
    020- Pf_Listing_Id AS SiteProductId,
    020+ 14
    021- sale_price AS Price,
    021+ None
    022- Stock AS Quantity,
    022+ 304
    023- Category_Id AS CategoryId,
    023+ 100
    024- Publish_Time AS PublishTime,
    024+ Using index condition; Using filesort
    025- Update_Time AS UpdateTime,
    025+
    026- pf_online_time AS DateCreated,
    026+ 额外建议:查看是否缺少索引 索引建议:
    027- logistic_type AS LogisticType,
    028- Title AS SiteTitle,
    029- CAST(Status AS CHAR) AS Status,
    030- original_price AS OriginalPrice,
    031- sub_status AS SubStatus,
    032- 1 AS IsSyncSuccess,
    033- 2 AS SyncType
    034- FROM T_Listing_Mercadolibre
    035- WHERE Source_Id = 28058
    036- AND Update_Time BETWEEN 2025-08-28 01:55:00 AND 2025-08-28 04:00:00
    037- ORDER BY Id
    038- LIMIT 300;
    039-
    040-
    041- 优化说明:
    042- 1. 简化了WHERE条件,使用BETWEEN替代了多个时间比较
    043- 2. 移除了不必要的括号嵌套
    044- 3. 简化了LIMIT语法(从LIMIT 0,300改为直接LIMIT 300)
    045- 4. 移除了timestamp函数调用,使用直接的日期字符串
    046- 5. 保持相同的查询逻辑,但使语句更简洁高效
    047- explain表:
    048-
    049-
    050-
    051-
    052-
    053-
    054-
    055-
    056-
    057-
    058- id
    059-
    060-
    061- select_type
    062-
    063-
    064- table
    065-
    066-
    067- partitions
    068-
    069-
    070- type
    071-
    072-
    073- possible_keys
    074-
    075-
    076- key
    077-
    078-
    079- key_len
    080-
    081-
    082- ref
    083-
    084-
    085- rows
    086-
    087-
    088- filtered
    089-
    090-
    091- Extra
    092-
    093-
    094-
    095-
    096-
    097-
    098- 1
    099-
    100-
    101- SIMPLE
    102-
    103-
    104- T_Listing_Mercadolibre
    105-
    106-
    107- None
    108-
    109-
    110- range
    111-
    112-
    113- uk_source_id_country_code_pf_listing_logistic_type_platform_type,idx_update_time,idx_source_id_update_time,idx_source_site_status,idx_listing_mercadolibre_optim
    114-
    115-
    116- idx_source_id_update_time
    117-
    118-
    119- 14
    120-
    121-
    122- None
    123-
    124-
    125- 304
    126-
    127-
    128- 100
    129-
    130-
    131- Using index condition; Using filesort
    132-
    133-
    134-
    135-
    136-
    137- 额外建议:查看是否缺少索引
    138- 索引建议:
    139-
    001- 反馈人:袁慧斌<br />
    001+ 反馈人:袁慧斌<br /> 数据库:zhcxkj_center_listing_comprehensive<br /> 查询时间:164.786<br /> 执行次数: 289<br /> 扫描行数:7085570<br /> 发送行数:294.228<br /> 指纹SQL: SELECT Id AS Id , ? AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST ( Status AS CHAR ) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , ? AS IsSyncSuccess , ? AS SyncType FROM T_Listing_Mercadolibre WHERE ( ( ( Source_Id = ? ) AND ( Update_Time &gt;= timestamp ( ? ) ) ) AND ( Update_Time &lt;= timestamp ( ? ) ) ) ORDER BY Id LIMIT ? , ? ;<br /> 真实SQL:SELECT Id AS Id , 1 AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST(Status AS CHAR) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , 1 AS IsSyncSuccess , 2 AS SyncType FROM T_Listing_Mercadolibre WHERE ((( Source_Id =28058) AND ( Update_Time &gt;= timestamp(2025-08-28 01:55:00) )) AND ( Update_Time &lt;= timestamp(2025-08-28 04:00:00) )) ORDER BY Id LIMIT 0,300;<br /> 袁慧斌,人工修改过<br /> AISQL修改建议:以下是优化后的SQL语句:<br /><br /><br /> SELECT Id AS Id,<br /> 1 AS CustomerId,<br /> Source_Id AS OrderSourceIdByLong,<br /> Site_Id AS SiteId,<br /> Sku AS Sku,<br /> Source_Sku AS SellerSku,<br /> Pf_Global_Listing_Id AS ProductId,<br /> Pf_Listing_Id AS SiteProductId,<br /> sale_price AS Price,<br /> Stock AS Quantity,<br /> Category_Id AS CategoryId,<br /> Publish_Time AS PublishTime,<br /> Update_Time AS UpdateTime,<br /> pf_online_time AS DateCreated,<br /> logistic_type AS LogisticType,<br /> Title AS SiteTitle,<br /> CAST(Status AS CHAR) AS Status,<br /> original_price AS OriginalPrice,<br /> sub_status AS SubStatus,<br /> 1 AS IsSyncSuccess,<br /> 2 AS SyncType<br /> FROM T_Listing_Mercadolibre<br /> WHERE Source_Id = 28058<br /> AND Update_Time BETWEEN 2025-08-28 01:55:00 AND 2025-08-28 04:00:00<br /> ORDER BY Id<br /> LIMIT 300;<br /><br /><br /> 优化说明:<br /> 1. 简化了WHERE条件,使用BETWEEN替代了多个时间比较<br /> 2. 移除了不必要的括号嵌套<br /> 3. 简化了LIMIT语法(从LIMIT 0,300改为直接LIMIT 300)<br /> 4. 移除了timestamp函数调用,使用直接的日期字符串<br /> 5. 保持相同的查询逻辑,但使语句更简洁高效<br /> explain表:<br /><br /><br /><br /><br /><br /><br /><table><tbody><tr><th>id</th>
    002- 数据库:zhcxkj_center_listing_comprehensive<br />
    002+ <th>select_type</th>
    003- 查询时间:164.786<br />
    003+ <th>table</th>
    004- 执行次数: 289<br />
    004+ <th>partitions</th>
    005- 扫描行数:7085570<br />
    005+ <th>type</th>
    006- 发送行数:294.228<br />
    006+ <th>possible_keys</th>
    007- 指纹SQL: SELECT Id AS Id , ? AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST ( Status AS CHAR ) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , ? AS IsSyncSuccess , ? AS SyncType FROM T_Listing_Mercadolibre WHERE ( ( ( Source_Id = ? ) AND ( Update_Time &gt;= timestamp ( ? ) ) ) AND ( Update_Time &lt;= timestamp ( ? ) ) ) ORDER BY Id LIMIT ? , ? ;<br />
    007+ <th>key</th>
    008- 真实SQL:SELECT Id AS Id , 1 AS CustomerId , Source_Id AS OrderSourceIdByLong , Site_Id AS SiteId , Sku AS Sku , Source_Sku AS SellerSku , Pf_Global_Listing_Id AS ProductId , Pf_Listing_Id AS SiteProductId , sale_price AS Price , Stock AS Quantity , Category_Id AS CategoryId , Publish_Time AS PublishTime , Update_Time AS UpdateTime , pf_online_time AS DateCreated , logistic_type AS LogisticType , Title AS SiteTitle , CAST(Status AS CHAR) AS Status , original_price AS OriginalPrice , sub_status AS SubStatus , 1 AS IsSyncSuccess , 2 AS SyncType FROM T_Listing_Mercadolibre WHERE ((( Source_Id =28058) AND ( Update_Time &gt;= timestamp(2025-08-28 01:55:00) )) AND ( Update_Time &lt;= timestamp(2025-08-28 04:00:00) )) ORDER BY Id LIMIT 0,300;<br />
    008+ <th>key_len</th>
    009- 袁慧斌,人工修改过<br />
    009+ <th>ref</th>
    010- AISQL修改建议:以下是优化后的SQL语句:<br />
    010+ <th>rows</th>
    011- <br />
    011+ <th>filtered</th>
    012- <br />
    012+ <th>Extra</th>
    013- SELECT Id AS Id,<br />
    013+ </tr></tbody><tbody><tr><td>1</td>
    014- 1 AS CustomerId,<br />
    014+ <td>SIMPLE</td>
    015- Source_Id AS OrderSourceIdByLong,<br />
    015+ <td>T_Listing_Mercadolibre</td>
    016- Site_Id AS SiteId,<br />
    016+ <td>None</td>
    017- Sku AS Sku,<br />
    017+ <td>range</td>
    018- Source_Sku AS SellerSku,<br />
    018+ <td>uk_source_id_country_code_pf_listing_logistic_type_platform_type,idx_update_time,idx_source_id_update_time,idx_source_site_status,idx_listing_mercadolibre_optim</td>
    019- Pf_Global_Listing_Id AS ProductId,<br />
    019+ <td>idx_source_id_update_time</td>
    020- Pf_Listing_Id AS SiteProductId,<br />
    020+ <td>14</td>
    021- sale_price AS Price,<br />
    021+ <td>None</td>
    022- Stock AS Quantity,<br />
    022+ <td>304</td>
    023- Category_Id AS CategoryId,<br />
    023+ <td>100</td>
    024- Publish_Time AS PublishTime,<br />
    024+ <td>Using index condition; Using filesort</td>
    025- Update_Time AS UpdateTime,<br />
    025+ </tr></tbody></table><br />
    026- pf_online_time AS DateCreated,<br />
    026+ 额外建议:查看是否缺少索引<br /> 索引建议:<br /><br />
    027- logistic_type AS LogisticType,<br />
    028- Title AS SiteTitle,<br />
    029- CAST(Status AS CHAR) AS Status,<br />
    030- original_price AS OriginalPrice,<br />
    031- sub_status AS SubStatus,<br />
    032- 1 AS IsSyncSuccess,<br />
    033- 2 AS SyncType<br />
    034- FROM T_Listing_Mercadolibre<br />
    035- WHERE Source_Id = 28058<br />
    036- AND Update_Time BETWEEN 2025-08-28 01:55:00 AND 2025-08-28 04:00:00<br />
    037- ORDER BY Id<br />
    038- LIMIT 300;<br />
    039- <br />
    040- <br />
    041- 优化说明:<br />
    042- 1. 简化了WHERE条件,使用BETWEEN替代了多个时间比较<br />
    043- 2. 移除了不必要的括号嵌套<br />
    044- 3. 简化了LIMIT语法(从LIMIT 0,300改为直接LIMIT 300)<br />
    045- 4. 移除了timestamp函数调用,使用直接的日期字符串<br />
    046- 5. 保持相同的查询逻辑,但使语句更简洁高效<br />
    047- explain表:<br />
    048- <br />
    049- <br />
    050- <br />
    051- <br />
    052- <br />
    053- <br />
    054- <table>
    055- <tbody>
    056- <tr>
    057- <th>
    058- id
    059- </th>
    060- <th>
    061- select_type
    062- </th>
    063- <th>
    064- table
    065- </th>
    066- <th>
    067- partitions
    068- </th>
    069- <th>
    070- type
    071- </th>
    072- <th>
    073- possible_keys
    074- </th>
    075- <th>
    076- key
    077- </th>
    078- <th>
    079- key_len
    080- </th>
    081- <th>
    082- ref
    083- </th>
    084- <th>
    085- rows
    086- </th>
    087- <th>
    088- filtered
    089- </th>
    090- <th>
    091- Extra
    092- </th>
    093- </tr>
    094- </tbody>
    095- <tbody>
    096- <tr>
    097- <td>
    098- 1
    099- </td>
    100- <td>
    101- SIMPLE
    102- </td>
    103- <td>
    104- T_Listing_Mercadolibre
    105- </td>
    106- <td>
    107- None
    108- </td>
    109- <td>
    110- range
    111- </td>
    112- <td>
    113- uk_source_id_country_code_pf_listing_logistic_type_platform_type,idx_update_time,idx_source_id_update_time,idx_source_site_status,idx_listing_mercadolibre_optim
    114- </td>
    115- <td>
    116- idx_source_id_update_time
    117- </td>
    118- <td>
    119- 14
    120- </td>
    121- <td>
    122- None
    123- </td>
    124- <td>
    125- 304
    126- </td>
    127- <td>
    128- 100
    129- </td>
    130- <td>
    131- Using index condition; Using filesort
    132- </td>
    133- </tr>
    134- </tbody>
    135- </table>
    136- <br />
    137- 额外建议:查看是否缺少索引<br />
    138- 索引建议:<br />
    139- <br />
  7. 2025-09-08 19:49:53, 由 李乐同 编辑。
    修改了 上线时间,旧值为 "0000-00-00 00:00:00",新值为 "2025-09-08 17:55"。
    修改了 上线时效,旧值为 "-1",新值为 "8.65"。
  8. 2025-09-08 19:49:58, 由 李乐同 关闭。
    修改了 Bug状态 ,旧值为 "resolved",新值为 "closed"。
    修改了 指派给 ,旧值为 "chenlizhen",新值为 "closed"。
    修改了 由谁关闭,旧值为 "",新值为 "liletong"。
    修改了 关闭日期,旧值为 "",新值为 "2025-09-08 19:49:58"。
所属项目 技术中心-需求池
所属模块 多平台   mercado
所属计划
所属迭代
Bug类型
严重程度 一般
优先级 P2
Bug状态 已关闭
业务部门 总经办
影响功能
开发责任人 韦思成
测试责任人 胡坚
解决时效 8.7
激活次数 0
激活日期
是否确认 是
当前指派 Closed 于 2025-09-08 19:49:58
截止日期 0000-00-00
上线时间 2025-09-08 17:55:00
上线时效 8.65
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由谁创建 陈莉珍 于 2025-09-08 09:16:14
影响环境 生产环境-业务反馈
由谁解决 韦思成 于 2025-09-08 17:58:14
解决版本 主干
解决方案 历史bug(180天以上)
由谁关闭 李乐同 于 2025-09-08 19:49:58
最后修改 李乐同 于 2025-09-08 19:49:58
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