愚人节短信: ● 壓葎枠揃嚥襲歯嫋壼峠剴麿太迟了,你的手机已经感染上愚人节病毒了,唉 ● 我花一毛钱发这条短信给你,是为了告诉你--我并不是一个一毛不拔的人。比如这一毛钱的短信就是我送你的生日礼物,晚上别忘了请我吃饭。 ● 尊敬的手机用户,为了使
愚人节短信:
● 壓葎枠揃嚥襲歯嫋壼峠剴麿……太迟了,你的手机已经感染上愚人节病毒了,唉……
● 我花一毛钱发这条短信给你,是为了告诉你--我并不是一个一毛不拔的人。比如这一毛钱的短信就是我送你的生日礼物,晚上别忘了请我吃饭。
● 尊敬的手机用户,为了使您在4月1日愚人节这天保持清醒不受欺骗,特提供智慧宝典速成,只要您连续读"¥$^^&&
● 今天我为你办了两万块钱的保险,让你度过一个平安的愚人节,够意思吧!保险公司会派人把保单和发票给你送去……哦忘了,这两万保金是由你来掏的。
● 可怜的手机用户,非常遗憾,由于您确认了此条短信,所以传染了愚人节细菌。现在细菌衣着统一精神饱满队列整齐,正迈着矫健的步伐通过你的身体……
● 因为你,我相信命运;因为你,我相信缘份;也许这一切都是上天注定,冥冥之中牵引着我俩。好想说......我上辈子是做了什么孽呀!
● 无论你在哪里,只要仰天长笑,大叫三声“我是美女”,我就会出现在你面前。
● 广阔的天空任你高飞,美丽的故事由你发挥,善良的小孩应该去追,幽默的短消息发给小乌龟!!!
● 转帐通知:我们已经将20万元按要求转入你的账户,请在2秒钟内确认,否则转账作废。
● 将这封短信转发3次,你会走财运;转发6次,你会走官运;转发10次,你会走桃花运;转发20次,你将花掉2元钱!
● 八戒应聘,老总问你有职称吗?八戒骄傲地说:净坛使者!老总:净痰屎者?哦,那就去清扫厕所吧!
● 悟空拿着磁铁在地上吸来吸去,沙僧问:大师兄,你找什么呢?悟空:嘿!俺把金箍棒掉地上了,还没来得及变长哪!
● 唐僧:我想喝酒,谁去问酒吧怎么走?八戒随口说:师父您老土啦!现在都用Windows XP了,谁还用WIN98?
● 好久没有收到你的短信了,不知你现在还好吗?前几天路过你那里进去看了一下,见你睡着了,不忍心叫醒你。哎,一窝小猪崽就你乖!
● 一懒猫疯狂地追求一老鼠终于结婚,婚后猫对老鼠百般苛护,老鼠很快变胖,老鼠很感动:亲爱的为什么对我这么好呀!猫嘿嘿笑道:等你再胖一点就知道了。
● 遇到你,是我心动的开始,爱上你,是我幸福的选择,拥有你,是我最珍贵的财富,踏入红毯,是我永恒的动力。最爱的人是你。遗憾的是我传错人了。
● 小样!喝着郎酒迈犬步,唱山歌走水路;梳着失恋的头型,迈着多情的脚步;长了一双破烂的眼睛,还到处寻找爱情的雨露,你真酷!
● 鸡是用做下蛋的,牛是有活就干的,猫是挨家混饭的,羊是将来烤串的,狗是让人来惯的,你是等着出圈的。
● 这两天真的太冷了,你一定要照顾好自己啊,千万别冻着啦----俗话说:人冻腿,猪冻嘴.我已经把毛裤穿上了,你也赶紧买个口罩吧.
● 知道吗?我想你呀,真的好想你,想的我日以继夜,想的我辗转反侧,像的我夜不能寐,想的我肝肠寸断,想的我魂不守舍,你欠我的钱什么时候还我啊?
● 一大学生被敌人抓了,敌人把他绑在了电线杆上,然后问他:说,你是哪里的?不说就电死你!大学生回了敌人一句话,结果被电死了,他说:我是电大的!
● 猪的种类有:养在家中是家猪,生在山中是野猪,看了信息是蠢猪,如果笑是傻猪,生气是笨猪,不回信息是死猪.
● 在你的眉宇间我看到沧桑,在你的眼中我看到自信,在你的额头我看到岁月,在你的唇齿间我看到韭菜,快去刷牙!
● 茶,要喝得浓的;路,要走的直的;猪蹄,要吃得香的;啊,拿鼠标的这只就不赖。哈哈。
● 要是饿了咋办?来份火锅涮涮!要是渴了咋办?去海边转转!要是没钱咋办?找个傻子骗骗!要是想你咋办?到猪圈看看!
● 鸡是用做下蛋的,牛是有活就干的,猫是挨家混饭的,羊是将来烤串的,狗是让人来惯的,你是等着出圈的。
● 蚊子飞到熟睡宝宝屁股上,爸爸赶走蚊子抹上花露水。宝宝惊醒大叫:妈,蚊子刚才在我的屁股上撒了一泡尿!
● 某老太生前爱打麻将,死后儿女提议送麻将陪葬,一女却担忧:万一人手不够她来叫我们怎么办?
● 你的脸比陈世美还美你的眼比诸葛亮还亮;我的爱比鲁智深还深我的情比关云长还长,但我的诺言比孙悟空还空。
● 你怒气冲冲的冲进某单位,嚷道:这里是动物保护协会吗?工作人员:是啊,请问是谁欺负你了?
● 八戒遇月老问:靠!月老!为何让我跟高家玉兰分离。月老道:她是人,你是妖,我怕你们的孩子生出是人妖。
● 厕所对联:上:脚踏黄河两岸手拿机密文件, 下:前面机枪扫射后面炮火连天. 横批:爽。
● 现代人的生活状态:上今天的班,睡昨天的觉,花明天的钱。
● 太阳怀了孕,打一首歌。嘻嘻……(月亮惹的祸)嘛!

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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