表分区,是指根据一定规则,将数据库中的一张表分解成多个更小的,容易管理的部分。从逻辑上看,只有一张表,但是底层却是由多个物理分区组成。
表分区有什么好处:
a.分区表的数据可以分布在不同的物理设备上,从而高效地利用多个硬件设备。
b.和单个磁盘或者文件系统相比,可以存储更多数据
c.优化查询。在where语句中包含分区条件时,可以只扫描一个或多个分区表来提高查询效率;涉及sum和count语句时,也可以在多个分区上并行处理,最后汇总结果。
d.分区表更容易维护。例如:想批量删除大量数据可以清除整个分区。
e.可以使用分区表来避免某些特殊的瓶颈,例如InnoDB的单个索引的互斥访问,ext3问价你系统的inode锁竞争等。
今天,我通过查阅相关资料与动手操作,学习了一下数据库表分区的技术。个人理解,其实就是当有大数据的数据表时,将数据表中的数据按照一定的规则,分门别类存储到规定的区域空间,
如果要对表进行“增删改查”的操作时,执行操作的区域不会是整张表,而是该表中的某个区域,实际就是“以空间换时间”,无疑会提高执行效率。
分区表的限制因素
a.一个表最多只能有个分区
b.MySQL5.1中,分区表达式必须是整数,或者返回整数的表达式。在MySQL5.5中提供了非整数表达式分区的支持。
c.如果分区字段中有主键或者唯一索引的列,那么多有主键列和唯一索引列都必须包含进来。即:分区字段要么不包含主键或者索引列,要么包含全部主键和索引列。
d.分区表中无法使用外键约束
e.MySQL的分区适用于一个表的所有数据和索引,不能只对表数据分区而不对索引分区,也不能只对索引分区而不对表分区,也不能只对表的一部分数据分区。
如何判断当前MySQL是否支持分区
命令:show variables like '%partition%'
aaarticlea/png;base64,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" alt="" />
其中 Variable_name 的Value = 1,我测试过了,表示可以正常分区的。我数据库的版本是:
aaarticlea/png;base64,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" alt="" />
MySQL支持的分区类型有:RANGE分区,LIST分区,HASH分区,KEY分区。其中RANGE,LIST,HASH分区等一般使用Int类型,KEY分区使用BLOB,TEXT类型等。
aaarticlea/png;base64,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" alt="" />
接下来创建数据表
aaarticlea/png;base64,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" alt="" />
紧接着:
aaarticlea/png;base64,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" alt="" />
以上的报错,说明partition by 不能够单独的使用(stand-alone).此处要注意!
然后采取第二种用法,如图所示:
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
分区成功了,呵呵呵!
有几点注意:
a. 对于分区s1,表示 1 <= id < 10;对于分区s2,表示 10<= id < 20;对于分区s3,表示 20<= id < 30;对于分区s4,表示 id >= 30,无上限
b. 如果将less than(10) 和less than (20)的顺序颠倒过来,那么将报错,如: VALUES LESS THAN value must be strictly increasing for each partition,
所以也用注意顺序问题
c. 一个表最大分区为:1024.(上面已经提到过),在有限的表分区内,最后加上 :partition xxx values less than maxvalue,是很有必要的。
d. 不管哪种分区类型,分区键必须是主键或唯一键,除非两者都没有,否者将会报如下错误。
如果是将注册日期作为分区键,则须要使用日期处理函数转换为整型,例如year(regDate),to_days(regDate),to_seconds(regDate),且只支持这三个函数。
或者使用RANGE COLUMNS分区,则不需要转换日期,如下所示
create table users_par(
id int not null,
usrName varchar(50) not null,
usrEmail varchar(50) not null,
age int not null,
regDate date not null
partition by range columns(regDate)(
partition p0 values less than('2005-05-05'),
partition p1 values less than('2009-09-09'),
partition p2 values less than('2015-05-05'),
);
RANGE分区特别适用于删除过期数据或者某范围数据,只需要alter table tbl_name truncate partition partition_name即可,
比delete语句效率要高很多,还有就是经常使用分区键的查询,可以提高查询性能,因为只需扫描某些分区就OK
Error Code: 1503. A PRIMARY KEY must include all columns in the table's partitioning function
接下来,我们查看,我们建立的分区,相关的语法:EXPLAIN PARTITIONS SELECT * FROM `demo`
aaarticlea/png;base64,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" alt="" />
当然,我们需要做测试,“实践是检验真理的唯一标准”嘛。
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
语法: explain partitions sql语句,如
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" width="902" height="122" />
aaarticlea/png;base64,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" alt="" />
等等,也可以做其他的测试。
接下来,尝试其他方式的表分区形式。
List 表分区创建:
aaarticlea/png;base64,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" alt="" />
语法:desc partitions select * from table_name;
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAA/cAAAB2CAIAAAAC4PR4AAAQlklEQVR4nO3dYXIjK6+AYS9rtpRd9r7On/NjalykASGBmkbwPvXVqQ7GIKmxrZubTD4/Pz8fAAAAADuhywcAAAB2Q5cPAAAA7Obn5+e6ruu6viO3LzsoV7h+q40rg7HON63Tt6xLPAuyJrV+EbwOzwQvxrlaiVaLBwCAtXy7/L8flo6Nsmmm0FUrV/P9vM9XG2n0nYKaSgi7mJR1/oJc4nw009rrZZrVbuVq8QAAsJC0y0/N2b3WzS/Y5fdtEbQLsYYdNM2b8SxG6qZ57ut1fj2Amzyeye9gAACsS+7yi31/OlJ7qPbRWxzXXwuK0+T4hYbAOi7sO14fawWU+6Yj6UNCfZqDI/nWFrHWwbrv7dHudYQ6dIQqTK6tkE/wirM237q+V3GE+E3rAwCws/Tn8ouNwl/FT+tP5TNV+JStrVO87mgIaiPFa32+yoeU+w5ed2xdCz4thX47udTN+U/XoXudwTiV4d0m55Tzi5GnjzZjzqcJ+3Zc39YX6tak2RcAAPwi//ZtrbGoNRP5Cpp19NeC4jR5sBa/sKkmGDmRZh1Me/VtfZuf10HeOn/UNF8OsvkUDaGexToIm+bzhWCscd52UU4WFknnNGubT2tuml8L9VHG09xaqH9HwQEAOIXQ5QufpvKHqzBZ+VB3Q2CKJ09TXq0jElMipiLrt+64j6b7a53ffdOtBbHWc7w4IxFqnmsKqVnb/HiYgmwGc1t/JFl9DNc/8uIAAOxvkS5f/xTlpsIitS5Ev5o+kieurVtr6l9bx1oczfyn69C9zmCcn1YdxjXvV22weK0Mtfse3dZv1n9w33TkieIDABCM8id2PtmntdBY5BOa6+QBCLsUNZcqJlj7Up6jD+ZTqedVaU2U4819a0l9dPfxU+mWrkzffGGF/HqwDtbxZpxyPKY4TUaCqdU5/1Le+qM4z8KXQqh9+xbjf6j+AAAEw9++3Qn9DcK5KkZW84wPAICg6PK3Md4hAQAAYBN0+QAAAMBu6PIBAACA3dDlAwAAALuhywcAAAB2Q5cPAAAA7IYuHwAAANgNXT4AAACwm7TLj/JPrUeJM4rT6nlavl52rduueUURpf5R4vQSJV/iRETzzgNdPk6r52n5etm1brvmFUWU+keJ00uUfIkTEc3u8q9McfDd8ShxRhk/rZ6n5es1vmvdds0ryniU+keJ02s8Sr7EyXjE8dp5eBDfy8dp9TwtXy+71m3XvKKIUv8ocXqJki9xIqJ554EuH6fV87R8vexat13ziiJK/aPE6SVKvsSJiN7p8gEAAADsgC4fAAAA2A1dPgAAALAbunwAAABgN3T5AAAAwG7o8gEAAIDd0OUDqf/+/Dn2f2/XHgAA+KHLB1LHNrvHJg4AwJ7o8oHUsc3usYkDALCnkb99W5t//TManHFfr5VP+xt1D+UrVPLdOsv7zm92vV53g5qJ7/q6WC2vWzxPv45ef8dT7k6c+RYTdnl0cZf1V3v91ljPz5y7jLfMu7NPdPkdS5mEeHezrrD+p9d3stfKb71/yfs+1OVb6zC/br5dfqBPptU+R/N4nn4dvVsB/e7EOXOX59b/ruz1UbvU67em+/xonhWiAkjNO7cjXb7g0QTWf3ezrrDrp9fT3Ukfed8nuvwQ58Gxy4/yufvX+tE+/Tra9f3H12pxrv85OGfl9V+/f731OYs1zbtrfV3+laiNP5eAb5ya9U3rXBl9kMWlbte3i9rW8qZyvn1xyvXJt5Dn6+O3ktf/NrvWOqcj6UPWug3WubZOc75Xl9+M/3Z9u9Dk68uU18cS5xPjeaj6dZqpFa9r6+vn63efE2ef1eKsrXMbv37TrGyKJF1Z2Lpj5XfjFL58tJ75XnI8V+YWZO25vncBVvPqP/Lbt82XwVBkw2rxNONU5iWsY02/Nt+09YT6N5c1HYk1z0/a7HYflesf4bm1RazzTYdEuHb8f2LU4jeFtMh5SJnitF4Xd9E8RXkeNHkp43zrfrnEOcGcOJWLzL8vmtzTmdN0xFl7bnGOb5x5iYoxCGEU8y1OwM4cfy5/wum3Li6c7OKrqPis2nwhjMFKFseb1828rLtb48z3lculrLM7eXFNly/nm94OzY7Nysjz5SCbT/ma8BM7plCvjGbrDn15aW60pg6aR4Utapua6lacLKxTi6fvNlnrPx5nn9XiVK7fXYSOfD/Z66KZ7ziXOPOl0gnCtOfi/F7XUmiuXMz3k90aQw7wM6/4e3f5xfnNpyvnC+sMRlgcb15311z/xOJM4b7LR8J6X7zIGzW7fGW++h2blZHnmw6JsM6aXb5mu0F9eWnOg7y+flzeQjgPSvpcOuLR7z45TqvV4lTe9+4idEfSfPr4vehbrRln8Tq/ldZ9XeJMH1JGYsoXk80r/sZdfvPVW1tKmZewzvdLa6i1F7AmpO766yc391KWrmOyI3nxR7v84gShMpr5mnuhuX6iy6+lpklBqLOvjrw+ijit10I88lM0xXTMKx0x5aXZfUKc3VaLU3nfJ9+XZjzWMPp218/UxPluPeWzpBmvLe57I2Ayr/jjv32bH5rigXPUF6d1vJiXcp3P71KYQhUercWpiae59Uic6WDtQoi/WWdf8vp5ly/E/ymlWVxcrpu8RXO+sEIx5eJ8939JU5gvxNOM051+fWucI+PfR28XQt2urtdR8bnKdZR10AQwM84+68R5ZYT1a8EodzEFo3moWQSrh+L8ZC89zVK+caa7CLf1k506OUhhWUwzr/L87dtpiq9e/cteHoGX2vfytzftz4HFPc9R4izqfv+RF3SL7zFB43S/XwBORJe/rNo7O+/4j7r9S5rn1PnpLj/6eY4S59Oi1IE4AYAuH/hl2re0V3Ns4gAA7IkuH0gd2+wemzgAAHuiywdSxza7xyYOAMCe6PKB1LHN7rGJAwCwJ7p8IHVss3ts4gAA7IkuH0gd2+wemzgAAHuiywdSxza7xyYOAMCe+v727buixBnFafWU8z222fX927eB7JpXFFHqHyVOL1HyJU5ENO880OXjtHrS5RfR5eMVUeofJU4vUfIlTkQ0u8u/MsXBd8ejxBll/LR6KvP978+fOfGsNv438Xx813Oya15RxqPUP0qcXuNR8iVOxiOO187Dg/hePk6rp5wv38uv2fWc7JpXFFHqHyVOL1HyJU5ENO880OXjtHrS5RfR5eMVUeofJU4vUfIlTkT0TpcPgC4fAADsgC4fSB3b7B6bOAAAe6LLB1LHNrvHJg4AwJ7o8oHUsc3usYkDALAnunwgdWyze2ziAADsiS4fSB3b7B6bOAAAe6LLB1LHNrvHJg4AwJ7o8oHUsc3usYkDALAnunwgdWyze2ziAADsaYW/fWvdVB/nlWiO1768MvrFixNWY41wtaSs8ciT9c2u9RAOruMVTw1/+9Y07fb+kM/RvD+MB7+BKPWPEqeXKPnOL9H1m+lZD4aFugkvpXXPw+td/nOv6tq7jDySvkMJb1JyJLfxxV/bId5YZY6vLmWX77WjVyXH11mzy5+wY8f7Sfql8IagfH84XJT6R4nTS5R8J1dJmUvzie9aJ5I+pviLZ/IJpvXnnYcXu/wr0fFE07T8KbWRG3kp33ertzx3C6ZxfHUpm93xHbvP/0PrLNjlz9nR9H6Sv/aFN4Q93h+eFqX+UeL0EiXfyVXK81Lu/u7dTK0TSR9r/NPyNW007y4c8r18zaNXST5ZePMqLr7+y8n6PpW/tTUHNfOV+2ri0axWezRtdoXFO3YUUuhYZySeIscuX5Nsfn2bf2Xk9YX5LnndVs4v8qVqK4/frJ1EqX+UOL1EyXdylW4J6ne3zsznF8ev36zzmyEVb25zfX3WT8cvxNCMP79uxqmJR47K3+u/fftoqkLda7fq868v19xgzemZdCOfJ59+4fpWz9p8rxgGFZtd4bRoCKHq15HzHa+A12/fKpPVnIdiUtbz5uUq6Yj/idhOEKX+UeL0cma+n4ffZ5677oj5dk/l+2vd6+n4r9+69+2IcxUbfy9fnp8PKg+B/JTic/WhvkJZT/lk5y+k7/X3v7cL69a19fXraCbXvpcvnxb9jvmZUa4jzzTFU+T+vXx5XHP7iuNX5jb5yo5ZX7S1abet9TdXmKaJc1dR6h8lTi9R8lXG6UVIU/PE7mm1eurrbI3kNv+WbzMGZX0c89Js0b1vR5wdUT1i4y5frn5zRHPzXG726wbr2SzO97+3C+XWk19d32bXen6UOwrHTL+I9VEN95/Ll4umKWlxR+t564izOe36pzguPEW+PlOU+keJ00uUfCdXJs3RtHtHPWvjpqLlg9aKNZctXufHoLm4Mq858Q9e90X1CLr82ojm5ukPZTPaFw3Ws3n9/e/tQrm1dV9TIrnBLv/6R5OCaZ2+ePS8unxNnMr7+P3SdAbyp7jnpYnNGvaxotQ/SpxeouQ7uTJCLqYnaqY9cf2p3CNr5F7rrxa/Y507onrEIv/GzkPVqS1eHJdPkrxIOqE2vqyOen5Kh1tZz9r8kX07sqg9WvyJnU/lPORLCXW4PWRd5yPWubaO3oTfvq0tJcy31qE7Wuu09Evlfblivj88LUr9o8TpJUq+b1XGelOsGeXzhXoWtxCC1AevWaQYZx6PsP6C8d9S0MSZP9QMTDNz1Ou/fQv8dVVMDmPkl1C9Ag6XuMkr2QEAcBy6fCA1rdldzdOJv/h/uQEAcCK6fCBFlw8AAHZAlw+kjm12j00cAIA90eUDqWOb3WMTBwBgT3T5QOrYZvfYxAEA2BNdPpA6ttk9NnEAAPZElw+k/vvz59j/vV17AADghy4fAAAA2M2Lf/u2W5Q4ozitnqfl62XXuu2aVxRR6h8lTi9R8iVORPTO376NcgqjxBnFafU8LV8vu9Zt17yiiFL/KHF6iZIvcSKi2V3+lSkOvjseJc4o46fV87R8vcZ3rduueUUZj1L/KHF6jUfJlzgZjzheOw8P4nv5OK2ep+XrZde67ZpXFFHqHyVOL1HyJU5ENO880OXjtHqelq+XXeu2a15RRKl/lDi9RMmXOBHRO10+AAAAgB3Q5QMAAAC7ocsHAAAAdkOXDwAAAOyGLh8AAADYDV0+AAAAsBu6fAAAAGA3dPkAAADAbujyAQAAgN3c/vbte4EUBPpbcbdQr9+UT8/nW9fxEqjyAAAAKPh2+Qs2dq+E1LFjsTWvfal/unUdXwueBwAAAGj9/Py88t3iNXUUIX9KOqIpbG2+dR13HAkAAICoOr6XX+tEP79/wuQ2WPtS3qK2uDXUYiMur6/ZojjtVpzmUrX51nWs+WpWVtYBAAAAa+n7iZ28Af2UvvdcXFm/kfBEfcurvzbFJsxPC6JZsza/e53B62aCAAAAWN1Il1/rSmvXym71tkvxS+UixWlXRp4/sr5mzdp86zqaeKw1tBYEAAAASxj8Xn5tsHit71aLu1g7VM068syOxT9JV61csza/oykvzqw9URmYZkcAAACsZUKX/8k6175drC1vbf7MOGtfauYrm/XihJFr5XYAAABY1+3f2NF3z8WZtYes3XMxJLkrNYWqSaG5eP6sWvzN9WvzhXWEMPT5yuPN7QAAALAo/vYtAAAAsBu6fAAAAGA3dPkAAADAbujyAQAAgN3Q5QMAAAC7ocsHAAAAdkOXDwAAAOyGLh8AAADYDV0+AAAAsBu6fAAAAGAz/wMa+kt+U+25xQAAAABJRU5ErkJggg==" alt="" />
同时,语法:show create table table_name;
aaarticlea/png;base64,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" alt="" />
Hash表分区创建:
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
Key分区创建与Hash分区类似。可以参考上面的。
子分区的创建:分区表中对每个分区再次分割,又成为复合分区。可参考:数据切分——Mysql分区表的建立及性能分析
地址:http://www.cnblogs.com/zmxmumu/p/4450857.html分区管理补充
RANGE和LIST分区在删除,添加,重新定义等分区管理上非常类似,如下所示。
删除分区(alter table tbl_name drop partition partition_name),分区被删除后,该分区的数据一起被删除。
mysql> alter table users_par drop partition p0;
Query OK, 0 rows affected (0.24 sec)
Records: 0 Duplicates: 0 Warnings: 0
添加分区(alter table tbl_name add partition)
mysql> alter table users_par add partition (partition p0 values less than (20));
ERROR 1481 (HY000): MAXVALUE can only be used in last partition definition
--这里报错是因为添加分区必须在原分区的最大端添加,在为LIST分区添加分区时,新分区的值列表的值不能包含任意一个现有分区中值列表中的值,否则报错
mysql> alter table student add partition (partition p2 values in ('男'));
ERROR 1495 (HY000): Multiple definition of same constant in list partitioning
重新定义分区(alter table tbl_name reorganize partition partition_name into),可以将一个分区拆开成多个,反之可以合并多个成一个或多个。
mysql> alter table users_par reorganize partition p1 into (partition p0 values less than (20),partition p1 values less t
han(30));
Query OK, 1 row affected (0.05 sec)
Records: 1 Duplicates: 0 Warnings: 0
需要注意的是:RANGE和LIST分区在重新定义时,只能重新定义相邻的分区,不可以跳过分区,并且重新定义的分区区间必须和原分区区间一致,也不可以改变分区的类型。
HASH和KEY分区的管理
减少分区数量,使用coaleace关键字
mysql> alter table hash_par coalesce partition 2;
Query OK, 1 row affected (0.04 sec)
Records: 1 Duplicates: 0 Warnings: 0
增加分区数量
mysql> alter table hash_par add partition partitions 2;
Query OK, 1 row affected (0.04 sec)
Records: 1 Duplicates: 0 Warnings: 0
MySQL分区有利于查询优化,快速删除过期数据,提高查询吞吐量等。
补充:http://www.cnblogs.com/zmxmumu/p/4450857.html
- MySQL表分区技术
MySQL表分区技术 MySQL有4种分区类型: 1.RANGE 分区 - 连续区间的分区 - 基于属于一个给定连续区间的列值,把多行分配给分区: 2.LIST 分区 - 离散区间的分区 - 类似于按 ...
- Mysql 表分区和性能
以下内容节选自<Mysql技术内幕InnoDB存储引擎> mysql表分区: 分区功能并不是所有存储引擎都支持的,如CSV.MERGE等就不支持.mysql数据库支持的分区类型为水平分区( ...
- Mysql表分区的选择与实践小结
在一些系统中有时某张表会出现百万或者千万的数据量,尽管其中使用了索引,查询速度也不一定会很快.这时候可能就需要通过分库,分表,分区来解决这些性能瓶颈. 一. 选择合适的解决方法 1. 分库分表. 分库 ...
- MySQL 表分区详解MyiSam引擎和InnoDb 区别(实测)
一.什么是表分区通俗地讲表分区是将一大表,根据条件分割成若干个小表.mysql5.1开始支持数据表分区了.如:某用户表的记录超过了1000万条,那么就可以根据入库日期将表分区,也可以根据所在地将表分区 ...
- mysql表分区、查看分区
原文地址:http://blog.csdn.net/feihong247/article/details/7885199 一. mysql分区简介 数据库分区 数据库分区是一种物理数据库设 ...
- mysql表分区简述
一. 简介 数据库分区 数据库分区是一种物理数据库设计技术.虽然分区技术可以实现很多效果,但其主要目的是为了在特定的SQL操作中减少数据读写的总量以缩减sql语句的响应时间,同时对于应用来说分区完全是 ...
- mysql 表分区 查看表分区 修改表分区
原文地址:http://blog.csdn.net/feihong247/article/details/7885199 一. mysql分区简介 数据库分区 数据库分区是一种物理数据库设 ...
- Mysql 表分区
是否支持分区:mysql> show variables like '%partition%';+-----------------------+-------+| Variable_name ...
- mysql表分区(摘自 MySQL表的四种分区类型)
一.什么是表分区通俗地讲表分区是将一大表,根据条件分割成若干个小表.mysql5.1开始支持数据表分区了. 如:某用户表的记录超过了600万条,那么就可以根据入库日期将表分区,也可以根据所在地将表分区 ...
随机推荐
- chardet查看字符串的编码(非常好用)
chardet不是python自带的包需要手动安装 chardet安装命令(dos下): pip install chardet 或: pip.exe install chardet 案例: > ...
- poj2229 Sumsets (递推)
http://poj.org/problem?id=2229 看到题目能感觉到多半是动态规划,但是没有清晰的思路. 打表找规律: #include<cstdio> #include< ...
- jQuery 学习05——AJAX:定义、load()方法、get()/post()方法
AJAX = 异步 JavaScript 和 XML(Asynchronous JavaScript and XML). load() 方法:从服务器加载数据,并把返回的数据放入被选元素中. 语法:$ ...
- Dijskstra算法
#include <iostream> #include <cstdio> #include <queue> #include <vector> usi ...
- delphi TTBXToolBar 增加外部控件
这样可以引用外部控件,还是比较方便
- Unity中调用DLL库
DLL -- Dynamic Link Library(动态链接库文件),这里以Window平台为例. Unity支持的两种语言生成的DLL库(C++.C#),这里以C#为例,C++网上可以搜索很详细 ...
- 条件式变分自编码机(Conditional Variational Autoencoders)
Conditional Variational Autoencoders 条件式变换自编码机 摘要: Conditional Variational Autoencoders --- 条件式变换自编码 ...
- 使用log4net生成日志文件
(一)使用log4net生成日志文件 1.引入log4net.dll 1.1 Nuget安装 或 http://logging.apache.org/log4net/下载log4net的源代码,编 ...
- PHP性能分析——xhprof(window 安装xhporf)
1 下载xhprof的php扩展 因为官方的xhprof不支持php7,所以采用tideways版本的xhprof 下载地址:windows版tideways_xhprof 将windows版的dll ...
- HOWTO: 如何利用Avizo或Amira计算孔隙率(Porosity)
在做三维可视化数据处理过程中,我们经常要提取的一个基本信息就是孔隙率.在今天的文章中我们要分享两个信息,一个是如何利用Avizo或Amira进行孔隙率计算:另外是关于Avizo 8.0中孔隙率计算异常 ...