背景:
表空间:INNODB 所有数据都存在表空间当中(共享表空间),要是开启innodb_file_per_table,则每张表的数据会存到单独的一个表空间内(独享表空间)。
独享表空间包括:数据,索引,插入缓存,数据字典。共享表空间包括:Undo信息(不会回收<物理空间上>),双写缓存信息,事务信息等。
段(segment):组成表空间,有区组成。
区(extent):有64个连续的页组成。每个页16K,总共1M。对于大的数据段,每次最后可申请4个区。
页(page):是INNODB 磁盘管理的单位,有行组成。
行(row):包括事务ID,回滚指针,列信息等。
目的1:
了解表空间各个页的信息和溢出行数据存储的信息。通过该书作者蒋承尧编写的工具:http://code.google.com/p/david-mysql-tools/source/browse/trunk/py_innodb_page_type/
3个脚本:
py_innodb_page_info.py
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View Code #! /usr/bin/env python #encoding=utf-8 import mylib from sys import argv from mylib import myargv if __name__ = = '__main__' : myargv = myargv(argv) if myargv.parse_cmdline() = = 0 : pass else : mylib.get_innodb_page_type(myargv) |
mylib.py
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View Code encoding = utf - 8 import os import include from include import * TABLESPACE_NAME = 'D:\\mysql_data\\test\\t.ibd' VARIABLE_FIELD_COUNT = 1 NULL_FIELD_COUNT = 0 class myargv( object ): def __init__( self , argv): self .argv = argv self .parms = {} self .tablespace = '' def parse_cmdline( self ): argv = self .argv if len (argv) = = 1 : print 'Usage: python py_innodb_page_info.py [OPTIONS] tablespace_file' print 'For more options, use python py_innodb_page_info.py -h' return 0 while argv: if argv[ 0 ][ 0 ] = = '-' : if argv[ 0 ][ 1 ] = = 'h' : self .parms[argv[ 0 ]] = '' argv = argv[ 1 :] break if argv[ 0 ][ 1 ] = = 'v' : self .parms[argv[ 0 ]] = '' argv = argv[ 1 :] else : self .parms[argv[ 0 ]] = argv[ 1 ] argv = argv[ 2 :] else : self .tablespace = argv[ 0 ] argv = argv[ 1 :] if self .parms.has_key( '-h' ): print 'Get InnoDB Page Info' print 'Usage: python py_innodb_page_info.py [OPTIONS] tablespace_file\n' print 'The following options may be given as the first argument:' print '-h help ' print '-o output put the result to file' print '-t number thread to anayle the tablespace file' print '-v verbose mode' return 0 return 1 def mach_read_from_n(page,start_offset,length): ret = page[start_offset:start_offset + length] return ret.encode( 'hex' ) def get_innodb_page_type(myargv): f = file (myargv.tablespace, 'rb' ) fsize = os.path.getsize(f.name) / INNODB_PAGE_SIZE ret = {} for i in range (fsize): page = f.read(INNODB_PAGE_SIZE) page_offset = mach_read_from_n(page,FIL_PAGE_OFFSET, 4 ) page_type = mach_read_from_n(page,FIL_PAGE_TYPE, 2 ) if myargv.parms.has_key( '-v' ): if page_type = = '45bf' : page_level = mach_read_from_n(page,FIL_PAGE_DATA + PAGE_LEVEL, 2 ) print "page offset %s, page type <%s>, page level <%s>" % (page_offset,innodb_page_type[page_type],page_level) else : print "page offset %s, page type <%s>" % (page_offset,innodb_page_type[page_type]) if not ret.has_key(page_type): ret[page_type] = 1 else : ret[page_type] = ret[page_type] + 1 print "Total number of page: %d:" % fsize for type in ret: print "%s: %s" % (innodb_page_type[ type ],ret[ type ]) |
include.py
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View Code #encoding=utf-8 INNODB_PAGE_SIZE = 16 * 1024 * 1024 # Start of the data on the page FIL_PAGE_DATA = 38 FIL_PAGE_OFFSET = 4 # page offset inside space FIL_PAGE_TYPE = 24 # File page type # Types of an undo log segment */ TRX_UNDO_INSERT = 1 TRX_UNDO_UPDATE = 2 # On a page of any file segment, data may be put starting from this offset FSEG_PAGE_DATA = FIL_PAGE_DATA # The offset of the undo log page header on pages of the undo log TRX_UNDO_PAGE_HDR = FSEG_PAGE_DATA PAGE_LEVEL = 26 #level of the node in an index tree; the leaf level is the level 0 */ innodb_page_type = { '0000' :u 'Freshly Allocated Page' , '0002' :u 'Undo Log Page' , '0003' :u 'File Segment inode' , '0004' :u 'Insert Buffer Free List' , '0005' :u 'Insert Buffer Bitmap' , '0006' :u 'System Page' , '0007' :u 'Transaction system Page' , '0008' :u 'File Space Header' , '0009' :u '扩展描述页' , '000a' :u 'Uncompressed BLOB Page' , '000b' :u '1st compressed BLOB Page' , '000c' :u 'Subsequent compressed BLOB Page' , '45bf' :u 'B-tree Node' } innodb_page_direction = { '0000' : 'Unknown(0x0000)' , '0001' : 'Page Left' , '0002' : 'Page Right' , '0003' : 'Page Same Rec' , '0004' : 'Page Same Page' , '0005' : 'Page No Direction' , 'ffff' : 'Unkown2(0xffff)' } INNODB_PAGE_SIZE = 1024 * 16 # InnoDB Page 16K |
测试1:
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root@localhost : test 02 : 26 : 13 >create table tt( id int auto_increment,name varchar( 10 ),age int ,address varchar( 20 ),primary key ( id ))engine = innodb; Query OK, 0 rows affected ( 0.17 sec) root@zhoujy: / var / lib / mysql / test # ls -lh tt.ibd - rw - rw - - - - 1 mysql mysql 96K 2012 - 10 - 17 14 : 26 tt.ibd |
查看ibd:
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root@zhoujy: / home / zhoujy / jiaoben / read_ibd # python py_innodb_page_info.py /var/lib/mysql/test/tt.ibd -v page offset 00000000 , page type < File Space Header> page offset 00000001 , page type <Insert Buffer Bitmap> page offset 00000002 , page type < File Segment inode> page offset 00000003 , page type <B - tree Node>, page level < 0000 > - - - 叶子节点 page offset 00000000 , page type <Freshly Allocated Page> page offset 00000000 , page type <Freshly Allocated Page> Total number of page: 6 : Freshly Allocated Page: 2 Insert Buffer Bitmap: 1 File Space Header: 1 B - tree Node: 1 File Segment inode: 1 |
解释:
Total number of page: 总页数
Freshly Allocated Page:可用页
Insert Buffer Bitmap:插入缓存位图页
Insert Buffer Free List:插入缓存空闲列表页
B-tree Node:数据页
Uncompressed BLOB Page:二进制大对象页,存放溢出行的页,即溢出页
上面得到的信息是表初始化大小为96K,他是有 Total number of page * 16 得来的。1个数据页,2个可用页面。
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root@localhost : test 02 : 42 : 58 >insert into tt values(name,age,address) values( 'aaa' , 23 , 'HZZZ' ); |
疑惑:为什么没有申请区?区是64个连续的页,大小1M。那么表大小也应该是至少1M。但是现在只有96K(默认)。原因是因为每个段开始的时候,先有32个页大小的碎片页存放数据,使用
完之后才是64页的连续申请,最多每次可以申请4个区,保证数据的顺序。这里看出表大小增加是按照至少64页的大小的空间来增加的,即1M增加。
验证:
填充数据,写满这32个碎片页,32*16 = 512K。看看是否能申请大于1M的空间。
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View Code root@zhoujy: / home / zhoujy / jiaoben / read_ibd # ls -lh /var/lib/mysql/test/tt.ibd - rw - rw - - - - 1 mysql mysql 576K 2012 - 10 - 17 15 : 30 / var / lib / mysql / test / tt.ibd root@zhoujy: / home / zhoujy / jiaoben / read_ibd # python py_innodb_page_info.py /var/lib/mysql/test/tt.ibd -v page offset 00000000 , page type < File Space Header> page offset 00000001 , page type <Insert Buffer Bitmap> page offset 00000002 , page type < File Segment inode> page offset 00000003 , page type <B - tree Node>, page level < 0001 > page offset 00000004 , page type <B - tree Node>, page level < 0000 > page offset 00000005 , page type <B - tree Node>, page level < 0000 > page offset 00000006 , page type <B - tree Node>, page level < 0000 > page offset 00000007 , page type <B - tree Node>, page level < 0000 > page offset 00000008 , page type <B - tree Node>, page level < 0000 > page offset 00000009 , page type <B - tree Node>, page level < 0000 > page offset 0000000a , page type <B - tree Node>, page level < 0000 > page offset 0000000b , page type <B - tree Node>, page level < 0000 > page offset 0000000c , page type <B - tree Node>, page level < 0000 > page offset 0000000d , page type <B - tree Node>, page level < 0000 > page offset 0000000e , page type <B - tree Node>, page level < 0000 > page offset 0000000f , page type <B - tree Node>, page level < 0000 > page offset 00000010 , page type <B - tree Node>, page level < 0000 > page offset 00000011 , page type <B - tree Node>, page level < 0000 > page offset 00000012 , page type <B - tree Node>, page level < 0000 > page offset 00000013 , page type <B - tree Node>, page level < 0000 > page offset 00000014 , page type <B - tree Node>, page level < 0000 > page offset 00000015 , page type <B - tree Node>, page level < 0000 > page offset 00000016 , page type <B - tree Node>, page level < 0000 > page offset 00000017 , page type <B - tree Node>, page level < 0000 > page offset 00000018 , page type <B - tree Node>, page level < 0000 > page offset 00000019 , page type <B - tree Node>, page level < 0000 > page offset 0000001a , page type <B - tree Node>, page level < 0000 > page offset 0000001b , page type <B - tree Node>, page level < 0000 > page offset 0000001c , page type <B - tree Node>, page level < 0000 > page offset 0000001d , page type <B - tree Node>, page level < 0000 > page offset 0000001e , page type <B - tree Node>, page level < 0000 > page offset 0000001f , page type <B - tree Node>, page level < 0000 > page offset 00000020 , page type <B - tree Node>, page level < 0000 > page offset 00000021 , page type <B - tree Node>, page level < 0000 > page offset 00000022 , page type <B - tree Node>, page level < 0000 > page offset 00000023 , page type <B - tree Node>, page level < 0000 > Total number of page: 36 : Insert Buffer Bitmap: 1 File Space Header: 1 B - tree Node: 33 File Segment inode: 1 |
"额外"页:4个
page offset 00000000, page type <File Space Header> :文件头空间页
page offset 00000001, page type <Insert Buffer Bitmap>:插入缓存位图页
page offset 00000002, page type <File Segment inode>:文件段节点
page offset 00000003, page type <B-tree Node>, page level <0001>:根页
碎片页:32个
page type <B-tree Node>, page level <0000>
总共36个页,ibd大小 576K的由来:32*16=512K(碎片页)+ 4*16=64(额外页),这里开始要是再插入的话,应该申请最少1M的页:
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root@zhoujy: / home / zhoujy / jiaoben / read_ibd # ls -lh /var/lib/mysql/test/tt.ibd - rw - rw - - - - 1 mysql mysql 2.0M 2012 - 10 - 17 16 : 10 / var / lib / mysql / test / tt.ibd root@zhoujy: / home / zhoujy / jiaoben / read_ibd # python py_innodb_page_info.py /var/lib/mysql/test/tt.ibd Total number of page: 128 : Freshly Allocated Page: 91 Insert Buffer Bitmap: 1 File Space Header: 1 B - tree Node: 34 File Segment inode: 1 |
页从36跳到了128,因为已经用完了32个碎片页,新的页会采用区的方式进行空间申请。信息中看到有很多可用页,正好说明这点。
▲溢出行数据存放:INNODB存储引擎是索引组织的,即每页中至少有两行记录,因此如果页中只能存放一行记录,INNODB会自动将行数据放到溢出页中。当发生溢出行的时候,实际数据保存在BLOB页中,数据页只保存数据的前768字节(老的文件格式),新的文件格式(Barracuda)采用完全行溢出的方式,数据页只保存20个字节的指针,BLOB也保存所有数据。如何查看表中有溢出行数据呢?
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root@localhost : test 04 : 52 : 34 >create table t1 ( id int ,name varchar( 10 ),memo varchar( 8000 ))engine = innodb default charset utf8; Query OK, 0 rows affected ( 0.16 sec) root@localhost : test 04 : 53 : 10 >insert into t1 values( 1 , 'zjy' ,repeat( '我' , 8000 )); Query OK, 1 row affected ( 0.00 sec) |
查看ibd:
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root@zhoujy: / home / zhoujy / jiaoben / read_ibd # python py_innodb_page_info.py /var/lib/mysql/test/t1.ibd -v page offset 00000000 , page type < File Space Header> page offset 00000001 , page type <Insert Buffer Bitmap> page offset 00000002 , page type < File Segment inode> page offset 00000003 , page type <B - tree Node>, page level < 0000 > page offset 00000004 , page type <Uncompressed BLOB Page> page offset 00000005 , page type <Uncompressed BLOB Page> Total number of page: 6 : Insert Buffer Bitmap: 1 Uncompressed BLOB Page: 2 File Space Header: 1 B - tree Node: 1 File Segment inode: 1 |
从信息中看到,刚才插入的一行记录,已经溢出了,保存到了2个BLOB页中(<Uncompressed BLOB Page>)。因为1页只有16K,又要存2行数据,所以每行记录最好小于8K,而上面的远远大于8K,所以被溢出了。当然这个也不是包括特大字段,要是一张表里面有5个字段都是varchar(512)【多个varchar的总和大于8K就可以】,也会溢出:
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root@localhost : test 05 : 08 : 39 >create table t2 ( id int ,name varchar( 1000 ),address varchar( 512 ),company varchar( 200 ),xx varchar( 512 ),memo varchar( 512 ),dem varchar( 1000 ))engine = innodb default charset utf8; Query OK, 0 rows affected ( 0.17 sec) root@localhost : test 05 : 08 : 43 >insert into t2 values( 1 ,repeat( '周' , 1000 ),repeat( '我' , 500 ),repeat( '丁' , 500 ),repeat( '啊' , 500 ),repeat( '噢' , 500 ),repeat( '阿a' , 500 )); |
1000+500+500+500+500+500=3500*3>8000字节;行会被溢出:
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root@zhoujy: / home / zhoujy / jiaoben / read_ibd # python py_innodb_page_info.py /var/lib/mysql/test/t2.ibd -v page offset 00000000 , page type < File Space Header> page offset 00000001 , page type <Insert Buffer Bitmap> page offset 00000002 , page type < File Segment inode> page offset 00000003 , page type <B - tree Node>, page level < 0000 > page offset 00000004 , page type <Uncompressed BLOB Page> page offset 00000000 , page type <Freshly Allocated Page> Total number of page: 6 : Insert Buffer Bitmap: 1 Freshly Allocated Page: 1 File Segment inode: 1 B - tree Node: 1 File Space Header: 1 Uncompressed BLOB Page: 1 |
<Uncompressed BLOB Page> 页存放真正的数据,那数据页到底存放什么?用hexdump查看:
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root@zhoujy: / home / zhoujy / jiaoben / read_ibd # hexdump -C -v /var/lib/mysql/test/t1.ibd > t1.txt |
查看ibd:
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View Code 3082 0000c090 00 32 01 10 80 00 00 01 7a 6a 79 e6 88 91 e6 88 |. 2. .....zjy.....| 3083 0000c0a0 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3084 0000c0b0 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3085 0000c0c0 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3086 0000c0d0 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3087 0000c0e0 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3088 0000c0f0 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3089 0000c100 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3090 0000c110 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3091 0000c120 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3092 0000c130 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3093 0000c140 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3094 0000c150 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3095 0000c160 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3096 0000c170 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3097 0000c180 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3098 0000c190 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3099 0000c1a0 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3100 0000c1b0 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3101 0000c1c0 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3102 0000c1d0 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3103 0000c1e0 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3104 0000c1f0 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3105 0000c200 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3106 0000c210 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3107 0000c220 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3108 0000c230 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3109 0000c240 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3110 0000c250 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3111 0000c260 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3112 0000c270 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3113 0000c280 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3114 0000c290 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3115 0000c2a0 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3116 0000c2b0 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3117 0000c2c0 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3118 0000c2d0 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3119 0000c2e0 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3120 0000c2f0 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3121 0000c300 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3122 0000c310 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3123 0000c320 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3124 0000c330 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3125 0000c340 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3126 0000c350 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3127 0000c360 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 |................| 3128 0000c370 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 |................| 3129 0000c380 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 88 91 e6 |................| 3130 0000c390 88 91 e6 88 91 e6 88 91 e6 88 91 00 00 02 1c 00 |................| |
文本中刚好是48行,每行16字节。48*16=768字节,刚好验证了之前说的:数据页只保存数据的前768字节(老的文件格式)。
总结1:
通过上面的信息,可以能清楚的知道ibd表空间各个页的分布和利用信息以及表空间大小增加的步长;特别注意的是溢出行,一个页中至少包含2行数据,如果页中存放的行数越多,性能就越好。
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目的2:
了解表空间如何存储数据,以及对NULL值的存储。
测试2:
在测试前先了解INNODB的存储格式(row_format)。老格式(Antelope):Compact<默认>,Redumdant;新格式(Barracuda):Compressed,Dynamic。
这里测试指针对默认的存储格式。
Compact行记录方式如下:
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|变长字段长度列表( 1 ~ 2 字节)|NULL标志位( 1 字节)|记录头信息( 5 字节)|RowID( 6 字节)|事务 ID ( 6 字节)|回滚指针( 7 字节)| |
上面信息除了 "NULL标志位"[表中所有字段都定义为NOT NULL],"RowID"[表中有主键] ,"变长字段长度列表" [没有变长字段] 可能不存在外,其他信息都会出现。所以一行数据除了列数据所占用的字段外,还需要额外18字节。
一:字段全NULL
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mysql> create table mytest(t1 varchar (10),t2 varchar (10),t3 varchar (10) ,t4 varchar (10))engine=innodb charset = latin1 row_format=compact; Query OK, 0 rows affected (0.08 sec) mysql> insert into mytest values ( 'a' , 'bb' , 'bb' , 'ccc' ); Query OK, 1 row affected (0.02 sec) mysql> insert into mytest values ( 'a' , 'ee' , 'ee' , 'fff' ); Query OK, 1 row affected (0.01 sec) mysql> insert into mytest values ( 'a' , NULL , NULL , 'fff' ); Query OK, 1 row affected (0.00 sec) |
测试数据准备完之后,执行shell命令:
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root@zhoujy: /usr/local/mysql/test # hexdump -C -v mytest.ibd > /home/zhoujy/mytest.txt |
打开mytest.txt文件找到supremum这一行:
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0000c070 73 75 70 72 65 6d 75 6d 03 02 02 01 00 00 00 10 |supremum........| ----------->一行,16字节 0000c080 00 25 00 00 00 03 b9 00 00 00 00 02 49 01 82 00 |.%..........I...| 0000c090 00 01 4a 01 10 61 62 62 62 62 63 63 63 03 02 02 |..J..abbbbccc...| 0000c0a0 01 00 00 00 18 00 23 00 00 00 03 b9 01 00 00 00 |...... #.........| 0000c0b0 02 49 02 83 00 00 01 4b 01 10 61 65 65 65 65 66 |.I.....K..aeeeef| 0000c0c0 66 66 03 01 06 00 00 20 ff a6 00 00 00 03 b9 02 |ff..... ........| 0000c0d0 00 00 00 02 49 03 84 00 00 01 4c 01 10 61 66 66 |....I.....L..aff| 0000c0e0 66 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 |f...............| |
解释:
第一行数据:
03 02 02 01/*变长字段*/ ---- 表中4个字段类型为varchar,并且没有NULL数据,而且每个字段君小于255。
00 /*NULL标志位,第一行没有null的数据*/
00 00 10 00 25 /*记录头信息,固定5个字节*/
00 00 00 03 b9 00/*RowID,固定6个字节,表没有主键*/
00 00 00 02 49 01 /*事务ID,固定6个字节*/
82 00 00 01 4a 01 10 /*回滚指针,固定7个字节*/
61 62 62 62 62 63 63 63/*列的数据*/
第二行数据和第一行数据一样(颜色匹配)。
第三行数据(有NULL值)和第一行的解释的颜色对应起来比较差别:
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03 02 02 01 VS 03 01 ----------当值为NULL时,变长字段列表不会占用存储空间。 61 62 62 62 62 63 63 63 VS 61 66 66 66 --------- NULL值没有存储,不占空间 |
结论:当值为NULL时,变长字段列表不会占用存储空间。NULL值没有存储,不占空间,但是需要一个标志位(一行一个)。
二:字段全NOT NULL
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mysql> create table mytest(t1 varchar (10) NOT NULL ,t2 varchar (10) NOT NULL ,t3 varchar (10) NOT NULL ,t4 varchar (10) NOT NULL )engine=innodb charset = latin1 row_format=compact; Query OK, 0 rows affected (0.03 sec) mysql> insert into mytest values ( 'a' , 'bb' , 'bb' , 'ccc' ); Query OK, 1 row affected (0.01 sec) mysql> insert into mytest values ( 'a' , 'ee' , 'ee' , 'fff' ); Query OK, 1 row affected (0.01 sec) mysql> insert into mytest values ( 'a' , NULL , NULL , 'fff' ); ERROR 1048 (23000): Column 't2' cannot be null |
步骤和上面一样,得到的ibd的结果是:
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0000c070 73 75 70 72 65 6d 75 6d 03 02 02 01 00 00 10 00 |supremum........| 0000c080 24 00 00 00 03 b9 03 00 00 00 02 49 07 87 00 00 |$..........I....| 0000c090 01 4f 01 10 61 62 62 62 62 63 63 63 03 02 02 01 |.O..abbbbccc....| 0000c0a0 00 00 18 ff cb 00 00 00 03 b9 04 00 00 00 02 49 |...............I| 0000c0b0 08 88 00 00 01 50 01 10 61 65 65 65 65 66 66 66 |.....P..aeeeefff| |
和上面比较,发现少了NULL的标志位信息。
结论: NULL值会有额外的空间来存储,即每行1字节的大小。对于相同数据的表,字段中有NULL值的表比NOT NULL的大。
三:1个NULL,和1个''的数据:
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mysql> create table mytest(t1 varchar (10) NOT NULL ,t2 varchar (10) NOT NULL DEFAULT '' ,t3 varchar (10) NOT NULL ,t4 varchar (10))engine=innodb charset = latin1 row_format=compact; Query OK, 0 rows affected (0.02 sec) mysql> insert into mytest(t1,t2) values ( 'A' , 'BB' ); Query OK, 1 row affected, 1 warning (0.01 sec) |
步骤和上面一样,得到的ibd的结果是:
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0000c070 73 75 70 72 65 6d 75 6d 00 02 01 01 00 00 10 ff |supremum........| 0000c080 ef 00 00 00 43 b9 03 00 00 00 02 4a 15 90 00 00 |....C......J....| 0000c090 01 c2 01 10 41 42 42 00 00 00 00 00 00 00 00 00 |....ABB.........| |
和上面2个区别主要在于变长列表和列数据这里。
结论:列数据信息里表明了 NULL数据和''数据都不占用任何空间,对于变长字段列表的信息,和一对比得出:‘'数据虽然不需要占用任何存储空间,但是在变长字段列表里面还是需要占用一个字节<毕竟还是一个‘'值>,NULL值不需要占用”,只是NULL会有额外的一个标志位,所以能有个优化的说法:“数据库表中能设置NOT NULL的就尽量设置为NOT NULL,除非确实需要NULL值得。” 在此得到了证明。
上面的测试都是针对VARCHAR的变长类型,那对于CHAR呢?
CHAR 测试:
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root@localhost : test 10:33:35>create table mytest(t1 char(10),t2 char(10),t3 char(10) ,t4 char(10))engine=innodb charset = latin1 row_format=compact;Query OK, 0 rows affected (0.16 sec) root@localhost : test 10:33:59>insert into mytest values( 'a' , 'bb' , 'bb' , 'ccc' ); Query OK, 1 row affected (0.00 sec) root@localhost : test 10:34:09>insert into mytest values( 'a' , 'ee' , 'ee' , 'fff' ); Query OK, 1 row affected (0.00 sec) root@localhost : test 10:34:19>insert into mytest values( 'a' ,NULL,NULL, 'fff' ); Query OK, 1 row affected (0.00 sec) |
打开ibd生成的文件:
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0000c060 02 00 1b 69 6e 66 69 6d 75 6d 00 04 00 0b 00 00 |...infimum......| 0000c070 73 75 70 72 65 6d 75 6d 00 00 00 10 00 41 00 00 |supremum.....A..| 0000c080 00 0a f5 00 00 00 00 81 2d 07 80 00 00 00 32 01 |........-.....2.| 0000c090 10 61 20 20 20 20 20 20 20 20 20 62 62 20 20 20 |.a bb | 0000c0a0 20 20 20 20 20 62 62 20 20 20 20 20 20 20 20 63 | bb c| 0000c0b0 63 63 20 20 20 20 20 20 20 00 00 00 18 00 41 00 |cc .....A.| 0000c0c0 00 00 0a f5 01 00 00 00 81 2d 08 80 00 00 00 32 |.........-.....2| 0000c0d0 01 10 61 20 20 20 20 20 20 20 20 20 65 65 20 20 |..a ee | 0000c0e0 20 20 20 20 20 20 65 65 20 20 20 20 20 20 20 20 | ee | 0000c0f0 66 66 66 20 20 20 20 20 20 20 06 00 00 20 ff 70 |fff ... .p| 0000c100 00 00 00 0a f5 02 00 00 00 81 2d 09 80 00 00 00 |..........-.....| 0000c110 32 01 10 61 20 20 20 20 20 20 20 20 20 66 66 66 |2..a fff| 0000c120 20 20 20 20 20 20 20 00 00 00 00 00 00 00 00 00 | .........| |
和一的varchar比较发现:少了变长字段列表,但是对于char来讲,需要固定长度来存储的,存不到固定长度,也会被填充满。如:20;并且NULL值也不需要占用存储空间。
混合(varchar,char):
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root@localhost : test 11:21:48>create table mytest(t1 int,t2 char(10),t3 varchar(10) ,t4 char(10))engine=innodb charset = latin1 row_format=compact; Query OK, 0 rows affected (0.17 sec) root@localhost : test 11:21:50>insert into mytest values(1, 'a' , 'b' , 'c' ); Query OK, 1 row affected (0.00 sec) root@localhost : test 11:22:06>insert into mytest values(11, 'aa' , 'bb' , 'cc' ); Query OK, 1 row affected (0.00 sec) |
从上面的表结构中看出:
1,变长字段列表长度:1
2,NULL标志位:1
3,记录头信息:5
4,RowID:6
5,事务ID:6
6,回滚指针:7
idb的信息:
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0000c070 73 75 70 72 65 6d 75 6d 01 00 00 00 10 00 33 00 |supremum......3.| 0000c080 00 00 0a f5 07 00 00 00 81 2d 1a 80 00 00 00 32 |.........-.....2| 0000c090 01 10 80 00 00 01 61 20 20 20 20 20 20 20 20 20 |......a | 0000c0a0 62 63 20 20 20 20 20 20 20 20 20 02 00 00 00 18 | bc .....| 0000c0b0 ff be 00 00 00 0a f5 08 00 00 00 81 2d 1b 80 00 |............-...| 0000c0c0 00 00 32 01 10 80 00 00 0b 61 61 20 20 20 20 20 |..2......aa | 0000c0d0 20 20 20 62 62 63 63 20 20 20 20 20 20 20 20 00 | bbcc .| |
从上信息得出和之前预料的一样:因为表中只有一个varchar字段,所以,变长列表长度就只有:01
特别注意的是:各个列数据存储的信息:t1字段为int 类型,占用4个字节的大小。第一行:80 00 00 01 就是表示 1 数字;第二行:80 00 00 0b 表示了11的数字。[select hex(11) == B ],其他的和上面的例子一样。
上面都是latin1单字节字符集的说明,那对于多字节字符集的情况怎么样?
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root@localhost : test 11:52:10>create table mytest( id int auto_increment,t2 varchar(10),t3 varchar(10) ,t4 char(10),primary key( id ))engine=innodb charset = utf8 row_format=compact; Query OK, 0 rows affected (0.17 sec) root@localhost : test 11:52:11>insert into mytest(t2,t3,t4) values( 'bb' , 'bb' , 'ccc' ); Query OK, 1 row affected (0.00 sec) root@localhost : test 11:55:34>insert into mytest(t2,t3,t4) values( '我们' , '他们' , '我们的' ); Query OK, 1 row affected (0.00 sec) |
ibd信息如下:
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0000c070 73 75 70 72 65 6d 75 6d 0a 02 02 00 00 00 10 00 |supremum........| 0000c080 28 80 00 00 01 00 00 00 81 2d 27 80 00 00 00 32 |(........-'....2| 0000c090 01 10 62 62 62 62 63 63 63 20 20 20 20 20 20 20 |..bbbbccc | 0000c0a0 0a 06 06 00 00 00 18 ff c7 80 00 00 02 00 00 00 |................| 0000c0b0 81 2d 28 80 00 00 00 32 01 10 e6 88 91 e4 bb ac |.-(....2........| 0000c0c0 e4 bb 96 e4 bb ac e6 88 91 e4 bb ac e7 9a 84 20 |............... | |
因为表有了主键,所以ROWID(6字节)不见了。
特别注意的是:变长字段列表是3?表里面的varchar类型的列只有2个啊。经测试得出:在多字节字符集的条件下,char类型被当成可变长度的类型来处理,他们的行存储基本没有区别,所以这个就出现变长列表是3了,因为是utf8字符集,占用三个字节。所以一个汉字均占用了一个页中3个字节的空间(”我们“ :e6 88 91 e4 bb ac)。
数据列的信息:
id列的1值,应该是 80 00 00 01,为什么这个显示00 32 01 10,而且所有的id都是00 32 01 10。测试发现,id为自增主键的时候,id的4个字节长度都是以00 32 01 10 表示。否则和前面一个例子里说的,用select HEX(X) 表示。
总结2:
上面的测试都是基于COMPACT存储格式的,不管是varchar还是char,NULL值是不需要占用存储空间的;特别需要注意的是Redumdant的记录头信息需要6个固定字节;在多字节字符集的条件下,CHAR和VARCHAR的行存储基本是没有区别的。
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原文链接:https://www.cnblogs.com/zhoujinyi/articles/2726462.html