Home Database Mysql Tutorial 用示例说明表数据中出现热块&Latch的场景,并给出解决方案?

用示例说明表数据中出现热块&Latch的场景,并给出解决方案?

Jun 07, 2016 pm 05:41 PM
latch Appear Scenes data Example 解决方 illustrate

引言:Latch争用就是由于多个会话同一时间访问同一个数据块引起的,这也是我们常说的热块。解决方法:把记录打散到多个数据块中,减少多个会话同一时间频繁访问

引言:Latch争用就是由于多个会话同一时间访问同一个数据块引起的,这也是我们常说的热块。解决方法:把记录打散到多个数据块中,网站空间,减少多个会话同一时间频繁访问一个数据块概率,防止由于记录都集中在一个数据块里产生热块现象。下面我们用实验来说明热块是如何产生和解决的。

session:19  

LEO1@LEO1>select distinct sid from v$mystat;    大家先了解一下LEO1用户的SID是19

       SID

-----------------

        19

LEO1@LEO1>create table latch_table1 as select * from dba_objects;   创建latch_table1表

Table created.

LEO1@LEO1>select count(*) from latch_table1;     这个表中有71961条记录

  COUNT(*)

----------------

     71961

LEO1@LEO1>execute dbms_stats.gather_table_stats('LEO1','latch_table1');   我们对表做一个全面分析让优化器了解表数据是如何分布的。

PL/SQL proceduresuccessfully completed.

下面我们用dbms_rowid.rowid_block_number 函数来查出一个数据块上有多少条记录

dbms_rowid.rowid_block_number作用:函数返回输入ROWID对应的数据块编号

selectdbms_rowid.rowid_block_number(rowid), count(*) block_sum_rows from latch_table1 group bydbms_rowid.rowid_block_number(rowid) order by block_sum_rows ;

这里显示出每个数据块上有多少条记录,按记录数从大到小排列

DBMS_ROWID.ROWID_BLOCK_NUMBER(ROWID)BLOCK_SUM_ROWS

--------------------------------------------------

                                 234             81

                                 391             81

                                 225             82

                                 259             82

                                 220             83

                                 233             83

                                 279             84

                                 274             85

                                 219             88

                                 275             89

                                 277             89

                                 276             90

                                 278             90

我们看到一个数据块中最多是90行记录

select'LATCH_TABLE1' , block_sum_rows , count(*) con_rows_sum_blocks from

(selectdbms_rowid.rowid_block_number(rowid), count(*) block_sum_rows from latch_table1 group bydbms_rowid.rowid_block_number(rowid) order by block_sum_rows)

group byblock_sum_rows order by con_rows_sum_blocks;

有一致记录数的数据块有多少个,举个例子好理解,上面我们看到276和278块上都用90条记录,现在我们想知道有90条记录的块一共有多少个我们用con_rows_sum_blocks列名表示(一致记录数的数据块总和),香港服务器租用,每个块上的记录数我们用block_sum_rows列名表示。

'LATCH_TABLE  BLOCK_SUM_ROWS  CON_ROWS_SUM_BLOCKS

-------------------------- ----------------------- -------------- -------------------

LATCH_TABLE1             85                   1

LATCH_TABLE1             54                   1

LATCH_TABLE1             84                   1

LATCH_TABLE1             88                   1

LATCH_TABLE1             25                   1

LATCH_TABLE1             63                   2

LATCH_TABLE1             90                   2

LATCH_TABLE1             83                   2

LATCH_TABLE1             82                   2

LATCH_TABLE1             89                   2

LATCH_TABLE1             64                   4

LATCH_TABLE1             81                  10

LATCH_TABLE1             80                  17

LATCH_TABLE1             65                  18

LATCH_TABLE1             79                  20

LATCH_TABLE1             74                  27

LATCH_TABLE1             73                  28

LATCH_TABLE1             77                  28

LATCH_TABLE1             72                  29

LATCH_TABLE1             78                  29

LATCH_TABLE1             75                  33

LATCH_TABLE1             76                  36

LATCH_TABLE1             71                  54

LATCH_TABLE1             66                  69

LATCH_TABLE1             70                  75

LATCH_TABLE1             69                 152

LATCH_TABLE1             67                 158

LATCH_TABLE1             68                 223

28 rows selected.

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