Oracle并行计算

OLTP系统最主要的核心还是数据的录入操作,而这些应用的场景并不适合于并行计算的方式。对于OLAP业务场景更适合并行的操作,并行也成为数据库仓库调优利器;

【使用类型和场景】

Oracle并行处理(Parallel Processing)特性主要是针对SQL语句处理的并行。目前Oracle提供支持并行的操作包括如下类型:

  • 并行查询操作;
  • 并行DDL,对数据对象的DDL操作;
  • 并行DML,进行并行的数据更新修改;

在具体的应用场景上,有如下场景:

  • 数据表、索引范围扫描的查询;
  • 批量增加、修改和删除操作;
  • 数据表、索引对象的创建;
  • "DBMS_STATS"收集统计量;
  • 备份恢复管理器Recovery Manager的使用;

【设置并行和并行度】

  • Alter session force parallel query parallel n;(ALTER SESSION enable parallel query;) 单个SESSION里面
  • Alter table tab1 parallel n; 单个TABLE
  • Select /*+parallel(tab n)*/ from tab; Hint设置单个SQL

优先级:Hint > session > object

【并行度设置】并行度的设置是以多核CPU为核心的,所以并行度不能超过CPU的逻辑数量,Oracle官方文档介绍如下

If the PARALLEL clause is specified but no degree of parallelism is listed, the object gets the default DOP. Default parallelism uses a formula to determine the DOP based on the system configuration, as in the following:

  • For a single instance, DOP = PARALLEL_THREADS_PER_CPU x CPU_COUNT
  • For an Oracle RAC configuration, DOP = PARALLEL_THREADS_PER_CPU x CPU_COUNT x INSTANCE_COUNT

【实验测试】

环境说明:

数据库信息:

SQL> select * from v$version where rownum<2;

BANNER

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

Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production

CPU信息

SQL> show parameter cpu

NAME TYPE VALUE

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

cpu_count integer 8

parallel_threads_per_cpu integer 1

resource_manager_cpu_allocation integer 8

【实验步骤】

正常情况下的执行计划

SQL> alter session set STATISTICS_LEVEL=ALL;

Session altered.

SQL> select count(1) from edidc;

COUNT(1)

----------

47262191

SQL> select * from table(dbms_xplan.DISPLAY_CURSOR(null, null, 'ALLSTATS'));

PLAN_TABLE_OUTPUT

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

SQL_ID 8h0snkxwm7x0w, child number 0

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

select count(1) from sapsr3.edidc

Plan hash value: 2138151876

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

Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers |

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

| 0 | SELECT STATEMENT | | 1 | | 1 |00:00:15.52| 351K|

| 1 | SORT AGGREGATE | | 1 | 1 | 1 |00:00:15.52| 351K|

| 2 | INDEX FAST FULL SCAN | EDIDC~1 | 1 | 46M | 47M |00:00:09.95| 351K|

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

修改session的方式

SQL> alter session set STATISTICS_LEVEL=ALL;

SQL> Alter session force parallel query;

SQL> select count(1) from edidc;

COUNT(1)

----------

47262191

SQL> select * from table(dbms_xplan.DISPLAY_CURSOR(null, null, 'ALLSTATS'));

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

| Id | Operation | Name | E-Rows |

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

| 0 | SELECT STATEMENT | | |

| 1 | SORT AGGREGATE | | 1 |

| 2 | PX COORDINATOR | | |

| 3 | PX SEND QC (RANDOM) | :TQ10000 | 1 |

| 4 | SORT AGGREGATE | | 1 |

| 5 | PX BLOCK ITERATOR | | 46M |

|* 6 | INDEX FAST FULL SCAN| EDIDC~1 | 46M |

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

Predicate Information (identified by operation id):

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

6 - access(:Z>=:Z AND :Z<=:Z)

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

用hint的方式进行

SQL> select /*+ PARALLEL(4) */ count(1) from edidc;

COUNT(1)

----------

47262191

SQL> select * from table(dbms_xplan.DISPLAY_CURSOR(null, null, 'ALLSTATS'));

PLAN_TABLE_OUTPUT

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

SQL_ID gr4rp3q9c4qu3, child number 0

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

select /*+ PARALLEL(4) */ count(1) from sapsr3.edidc

Plan hash value: 152749150

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

| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads |

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

| 0 | SELECT STATEMENT | | 1 | | 1 |00:00:13.86 | 25 | 0 |

| 1 | SORT AGGREGATE | | 1 | 1 | 1 |00:00:13.86 | 25 | 0 |

| 2 | PX COORDINATOR | | 1 | | 4 |00:00:13.86 | 25 | 0 |

| 3 | PX SEND QC (RANDOM) | :TQ10000 | 0 | 1 | 0 |00:00:00.01 | 0 | 0 |

| 4 | SORT AGGREGATE | | 4 | 1 | 4 |00:00:52.76 | 357K | 351K |

| 5 | PX BLOCK ITERATOR | | 4 | 46M | 47M |00:00:41.69 | 357K | 351K |

|* 6 | INDEX FAST FULL SCAN | EDIDC~1 | 136 | 46M | 47M |00:00:20.42 | 357K | 351K |

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

Predicate Information (identified by operation id):

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

6 - access(:Z>=:Z AND :Z<=:Z)

PLAN_TABLE_OUTPUT

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

修改table的方式

SQL> ALTER TABLE edidc PARALLEL 2; #设置完成后需要更新统计信息

SQL> SELECT TABLE_NAME, degree FROM dba_tables WHERE TABLE_NAME='EDIDC';

TABLE_NAME DEGREE

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

EDIDC 2

SQL> alter session set STATISTICS_LEVEL=ALL;

Session altered.

SQL> select count(1) from edidc;

COUNT(1)

----------

47262191

SQL> select * from table(dbms_xplan.DISPLAY_CURSOR(null, null, 'ALLSTATS'));

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

| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads |

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

| 0 | SELECT STATEMENT | | 1 | | 1 |00:00:12.93 | 25 | 0 |

| 1 | SORT AGGREGATE | | 1 | 1 | 1 |00:00:12.93 | 25 | 0 |

| 2 | PX COORDINATOR | | 1 | | 8 |00:00:12.93 | 25 | 0 |

| 3 | PX SEND QC (RANDOM) | :TQ10000 | 0 | 1 | 0 |00:00:00.01 | 0 | 0 |

| 4 | SORT AGGREGATE | | 8 | 1 | 8 |00:01:39.17 | 359K| 351K|

| 5 | PX BLOCK ITERATOR | | 8 | 46M | 47M|00:01:23.50 | 359K| 351K|

|* 6 | INDEX FAST FULL SCAN | EDIDC~1 | 164 | 46M| 47M|00:00:54.01 | 359K| 351K|

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

Predicate Information (identified by operation id):

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

6 - access(:Z>=:Z AND :Z<=:Z)

PLAN_TABLE_OUTPUT

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

SQL>ALTER TABLE TABLE_NAME NOPARALLEL; 取消并行

以上是针对查询的操作,同样也是适用于DML操作的;

并行的使用并是简单的以上的几个语句的套用,在OLTP系统中使用需谨慎,用好了是一把调优的利器,用不好可能反而会被利器所伤。本文档也是是针对并行的一篇基础文章,后续会针对更深入的应用继续说明。

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转载自www.linuxidc.com/Linux/2017-05/143387.htm