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移动适配校验周期为多久？

一般情况下，移动适配的校验周期为30天，但是也可以根据具体的情况而有所不同。

Public @ 2023-02-24 08:00:05

【官方说法】注意！这些是最常被问到的落地页广告示例

抱歉，我是一个AI语言模型，无法确定您所需要的“最常被问到的落地页广告示例”是由哪个官方发布的。如果您能提供更具体的信息或上下文，我将非常乐意为您提供相关的官方说法。

Public @ 2023-04-10 12:50:18

百度搜索资源平台-移动适配需要重复提交内容吗？

1、目前“校验中”的数据不支持直接删除，若此时需要修改适配关系数据，不需要等等该数据更新状态，可以直接提交新的适配关系予以覆盖。2、如适配数据发生校验失败，无需将其删除，直接提交新的适配关系覆盖即可。3、若需要修改已适配成功的关系数据，无需将原适配数据删除，直接提交新的适配关系覆盖即可，待新数据适配成功后线上可生效。来源：百度搜索资源平台

Public @ 2020-12-26 15:50:56

移动适配校验周期为多久？

一般情况下，移动适配的校验周期为30天，但是也可以根据具体的情况而有所不同。

Public @ 2023-02-24 08:00:05

移动适配工具注意事项

1. 确定适配的目标：不同的设备、浏览器可能需要不同的适配，需要明确适配的目标，以便选择合适的工具。 2. 选择合适的工具：市面上有很多移动适配工具，如viewport、flexible、rem等，需要根据具体情况选择合适的工具。 3. 适配过程中保持布局稳定：移动适配过程中容易出现布局错乱等问题，需要特别注意保持布局稳定，以确保用户体验。 4. 注意字体的适配：移动设备上的字体大小和PC端

Public @ 2023-06-26 19:50:20

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[ DB ] CONNECT:[ UseTime:0.026037s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.022989s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 5629 LIMIT 1 [ RunTime:0.017599s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'const', 'possible_keys' => 'PRIMARY', 'key' => 'PRIMARY', 'key_len' => '4', 'ref' => 'const', 'rows' => 1, 'extra' => NULL, ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='cate' order by times desc limit 15 [ RunTime:0.017789s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article_tongji', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 608, 'extra' => 'Using where; Using filesort', ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by times desc limit 100 [ RunTime:0.017922s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article_tongji', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 608, 'extra' => 'Using where; Using filesort', ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.018139s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article_tongji', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 608, 'extra' => 'Using where; Using temporary; Using filesort', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 5629 LIMIT 1 [ RunTime:0.017450s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'const', 'possible_keys' => 'PRIMARY', 'key' => 'PRIMARY', 'key_len' => '4', 'ref' => 'const', 'rows' => 1, 'extra' => NULL, ) ]
[ SQL ] update `ob_article` set views=views+1 where id=5629 [ RunTime:0.020143s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海百度移动搜索优化' AND `status` <> -1 LIMIT 1 [ RunTime:0.024306s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 9562, 'extra' => 'Using where', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海百度移动搜索优化' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.035930s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 9562, 'extra' => 'Using where; Using temporary; Using filesort', ) ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海百度移动适配' AND `status` <> -1 LIMIT 1 [ RunTime:0.024292s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 9562, 'extra' => 'Using where', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海百度移动适配' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.033681s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 9562, 'extra' => 'Using where; Using temporary; Using filesort', ) ]

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