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Oracle RAC cache fusion原理测试

Jun 07, 2016 pm 04:50 PM
oracle oracle rac

Oracle RAC cache fusion是RAC最核心的工作机制,他把所有实例的SGA虚拟成一个大的SGA区,每当不同的实例请求相同的数据块,这个数

Oracle RAC cache fusion是RAC最核心的工作机制,他把所有实例的SGA虚拟成一个大的SGA区,每当不同的实例请求相同的数据块,这个数据块就需要在实例间进行传递。那到底什么时候传递呢?加上RAC有4个节点,其中的一个节点执行了一条SQL是全表扫描一张表,这个时候这个节点把这张表的数据加载到缓存;其他的节点如果需要相同的数据块会取第一个节点的数据,,那是需要的时候去,还是第一个节点推送呢?
 
  实验设定:
 
  1.清空4个节点的share pool和databuffer,其实当清除第一个节点的时候,其他的节点都已经清除了,从执行清除语句的时间就可以看出。清除后查下各节点data buffer中有没有缓存将要执行的SQL的表。
 
  2.在第一个节点上执行一条SQL.,在其他的节点上看data buffer中是否缓存SQL的表,如果有,说明是数据块是主动推送的。
 
  实验结论:
 
  数据块从第执行的节点推送到其他的节点上,RAC虽然使得使用的资源多了几倍,但由于cache fusion这个特性,上了RAC后的系统系统是否有提升还是未知之数。
 

 

---清理4个节点(54,55,56,57)shared_pool和buffer_cache
 现在节点54上清理share pool和data buffer
 SQL> alter system flush shared_pool;
 系统已更改。
 SQL> alter system flush buffer_cache;
 系统已更改。
 
---在其他的节点55,56,57上同样执行
 
---在第54个节点测试语句
 SQL> SELECT COUNT(1)
  2  FROM MM_DISTRIBUTION W
  3  WHERE    W.DATA_AREA LIKE '03'
  4    || '%'
  5  AND W.CREATE_DATE > TO_DATE('2013-01-01', 'yyyy-mm-dd');
 已用时间:  00: 00: 02.40
 执行计划
 ----------------------------------------------------------
 Plan hash value: 3507380501
 -------------------------------------------------------------------------------------------------------
 | Id  | Operation          | Name            | Rows  | Bytes | Cost (%CPU)| Time    | Pstart| Pstop |
 -------------------------------------------------------------------------------------------------------
 |  0 | SELECT STATEMENT    |                |    1 |    13 |  5209  (2)| 00:01:03 |      |      |
 |  1 |  SORT AGGREGATE    |                |    1 |    13 |            |          |      |      |
 |  2 |  PARTITION LIST ALL|                | 43668 |  554K|  5209  (2)| 00:01:03 |    1 |    2 |
 |*  3 |    TABLE ACCESS FULL| MM_DISTRIBUTION | 43668 |  554K|  5209  (2)| 00:01:03 |    1 |    2 |
 -------------------------------------------------------------------------------------------------------
 Predicate Information (identified by operation id):
 ---------------------------------------------------
    3 - filter("W"."CREATE_DATE">TO_DATE('2013-01-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss') AND
              "W"."DATA_AREA" LIKE '03%')
 统计信息
 ----------------------------------------------------------
        2997  recursive calls
          0  db block gets
      24196  consistent gets
      23581  physical reads
          0  redo size
        334  bytes sent via SQL*Net to client
        338  bytes received via SQL*Net from client
          2  SQL*Net roundtrips to/from client
          39  sorts (memory)
          0  sorts (disk)
          1  rows processed
 
SQL> /
 
已用时间:  00: 00: 00.28
 
执行计划
 ----------------------------------------------------------
 Plan hash value: 3507380501
 -------------------------------------------------------------------------------------------------------
 | Id  | Operation          | Name            | Rows  | Bytes | Cost (%CPU)| Time    | Pstart| Pstop |
 -------------------------------------------------------------------------------------------------------
 |  0 | SELECT STATEMENT    |                |    1 |    13 |  5209  (2)| 00:01:03 |      |      |
 |  1 |  SORT AGGREGATE    |                |    1 |    13 |            |          |      |      |
 |  2 |  PARTITION LIST ALL|                | 43668 |  554K|  5209  (2)| 00:01:03 |    1 |    2 |
 |*  3 |    TABLE ACCESS FULL| MM_DISTRIBUTION | 43668 |  554K|  5209  (2)| 00:01:03 |    1 |    2 |
 -------------------------------------------------------------------------------------------------------
 Predicate Information (identified by operation id):
 ---------------------------------------------------
    3 - filter("W"."CREATE_DATE">TO_DATE('2013-01-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss') AND
              "W"."DATA_AREA" LIKE '03%')
 统计信息
 ----------------------------------------------------------
          0  recursive calls
          0  db block gets
      23554  consistent gets
          0  physical reads
          0  redo size
        334  bytes sent via SQL*Net to client
        338  bytes received via SQL*Net from client
          2  SQL*Net roundtrips to/from client
          0  sorts (memory)
          0  sorts (disk)
          1  rows processed
 
---在4个节点查看share_pool中的SQL是否同步
 select sql_text from v$sql s where sql_text like '%MM_DISTRIBUTION%';
 
---在4个节点查看测试buffer_cache,可以看到其他的3个节点都已同步缓存数据
 select count(b.object_name)
  from sys.v_x$bh a, user_objects b
  where a.OBJ = b.object_id
    and b.object_name = 'MM_DISTRIBUTION'
    and a.STATE 0;    ---state=0表示free,其他表示已占用
 COUNT(B.OBJECT_NAME)
 --------------------
                23543 

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