11gR2RACDynamicremastering
In this post, I will demonstrate dynamic remastering of the resources in RAC .In RAC, every data block is mastered by an instance. Mastering a block simply means that master instance keeps track of the state of the block until the next reco
In this post, I will demonstrate dynamic remastering of the resources in RAC . In RAC, every data block is mastered by an instance. Mastering a block simply means that master instance keeps track of the state of the block until the next reconfiguration event .When one instance departs the cluster, the GRD portion of that instance needs to be redistributed to the surviving nodes. Similarly, when a new instance enters the cluster, the GRD portions of the existing instances must be redistributed to create the GRD portion of the new instance. This is called dynamic resource reconfiguration. In addition to dynamic resource reconfiguration, This is called dynamic remastering. The basic idea is to master a buffer cache resource on the instance where it is mostly accessed. In order to determine whether dynamic remastering is necessary, the GCS essentially keeps track of the number of GCS requests on a per-instance and per-object basis. This means that if an instance, compared to another, is heavily accessing blocks from the same object, the GCS can take the decision to dynamically migrate all of that object’s resources to the instance that is accessing the object most. LMON, LMD and LMS processes are responsible for Dynamic remastering. – Remastering can be triggered as result of – Manual remastering – Resource affinity – Instance crash – CURRENT SCENARIO - - 3 node setup - name of the database – racdb — SETUP – – Get data_object_id for scott.empSYS> col owner for a10 col data_object_id for 9999999 col object_name for a15 select owner, data_object_id, object_name from dba_objects where owner = 'SCOTT' and object_name = 'EMP';
SQL>select empno, dbms_rowid.rowid_relative_fno(rowid), dbms_rowid.rowid_block_number(rowid) from scott.emp where empno in (7788, 7369);
[oracle@host01 ~]$ srvctl stop database -d racdb srvctl start database -d racdb srvctl status database -d racdb
SCOTT@NODE2> select * from emp;
– Find the GCS resource name to be used in the query x$kjbl.kjblname = resource name in hexadecimal format([id1],[id2],[type] x$kjbl.kjblname2 = resource name in decimal format Hexname will be used to query resource in V$gc_element and v$dlm_rss views get_resource_name
SYS@NODE2>col hexname for a25 col resource_name for a15 select b.kjblname hexname, b.kjblname2 resource_name, b.kjblgrant, b.kjblrole, b.kjblrequest from x$le a, x$kjbl b where a.le_kjbl=b.kjbllockp and a.le_addr = (select le_addr from x$bh where dbablk = 151 and obj = 73181 and class = 1 and state <> 3);
SYS>select o.object_name, m.CURRENT_MASTER, m.PREVIOUS_MASTER, m.REMASTER_CNT from dba_objects o, v$gcspfmaster_info m where o.data_object_id=73181 and m.data_object_id = 73181 ;
SYS@NODE2> select kj.kjblname, kj.kjblname2, kj.kjblowner, kj.kjblmaster from (select kjblname, kjblname2, kjblowner, kjblmaster, kjbllockp from x$kjbl where kjblname = '[0x97][0x4],[BL]' ) kj, x$le le where le.le_kjbl = kj.kjbllockp order by le.le_addr;
SYS@NODE2>oradebug lkdebug -m pkey 74625
SYS>select o.object_name, m.CURRENT_MASTER, m.PREVIOUS_MASTER, m.REMASTER_CNT from dba_objects o, v$gcspfmaster_info m where o.data_object_id=74625 and m.data_object_id = 74625 ;
SYS> select kj.kjblname, kj.kjblname2, kj.kjblowner, kj.kjblmaster from (select kjblname, kjblname2, kjblowner, kjblmaster, kjbllockp from x$kjbl where kjblname = '[0x97][0x4],[BL]' ) kj, x$le le where le.le_kjbl = kj.kjbllockp order by le.le_addr;
GCS masters a buffer cache resource on the instance where it is mostly accessed. In order to determine whether dynamic remastering is necessary, the GCS essentially keeps track of the number of GCS requests on a per-instance and per-object basis. This means that if an instance, compared to another, is heavily accessing blocks from the same object, the GCS can take the decision to dynamically migrate all of that object’s resources to the instance that is accessing the object most. X$object_policy_statistics maintains the statistics about objects and OPENs on those objects.LCK0 process maintains these object affinity statistics. Following parameters affect dynamic remastering due to resource affinity : _gc_policy_limit : If an instance opens 50 more opens on an object then the other instance (controlled by _gc_policy_limit parameter), then that object is a candidate for remastering. That object is queued and LMD0 reads the queue and initiates GRD freeze. LMON performs reconfiguration of buffer cache locks working with LMS processes. All these are visible in LMD0/LMON trace files. _gc_policy_time : It controls how often the queue is checked to see if the remastering must be triggered or not with a default value of 10 minutes. _gc_policy_minimum: This parameter is defined as “minimum amount of dynamic affinity activity per minute” to be a candidate for remastering. Defaults to 2500 and I think, it is lower in a busy environment. To disable DRM completely, set _gc_policy_limit and _gc_policy_minimum to much higher value, say 10Million. Setting the parameter _gc_policy_time to 0 will completely disable DRM, but that also means that you can not manually remaster objects. Further, $object_policy_statistics is not maintained if DRM is disabled. — SETUP –-
SYS>drop table scott.test purge; create table scott.test as select * from sh.sales; insert into scott.test select * from scott.test; commit; insert into scott.test select * from scott.test; commit; insert into scott.test select * from scott.test; commit; insert into scott.test select * from scott.test; commit;
SYS> col data_object_id for 9999999 col object_name for a15 select owner, data_object_id, object_name, object_id from dba_objects where owner = 'SCOTT' and object_name = 'TEST';
SYS> SET linesize 235 col Parameter FOR a20 col Instance FOR a10 col Description FOR a40 word_wrapped SELECT a.ksppinm "Parameter", c.ksppstvl "Instance", a.ksppdesc "Description" FROM x$ksppi a, x$ksppcv b, x$ksppsv c, v$parameter p WHERE a.indx = b.indx AND a.indx = c.indx AND p.name(+) = a.ksppinm AND UPPER(a.ksppinm) LIKE UPPER('%¶meter%') ORDER BY a.ksppinm; Enter value for parameter: gc_policy old 11: AND UPPER(a.ksppinm) LIKE UPPER('%¶meter%') new 11: AND UPPER(a.ksppinm) LIKE UPPER('%gc_policy%')
SYS>alter system set "_gc_policy_minimum" = 10 scope=spfile; alter system set "_gc_policy_time" = 1 scope=spfile;
[oracle@host01 ~]$ srvctl stop database -d racdb srvctl start database -d racdb srvctl status database -d racdb
SYS> SET linesize 235 col Parameter FOR a20 col Instance FOR a10 col Description FOR a40 word_wrapped SELECT a.ksppinm "Parameter", c.ksppstvl "Instance", a.ksppdesc "Description" FROM x$ksppi a, x$ksppcv b, x$ksppsv c, v$parameter p WHERE a.indx = b.indx AND a.indx = c.indx AND p.name(+) = a.ksppinm AND UPPER(a.ksppinm) LIKE UPPER('%¶meter%') ORDER BY a.ksppinm; old 11: AND UPPER(a.ksppinm) LIKE UPPER('%¶meter%') new 11: AND UPPER(a.ksppinm) LIKE UPPER('%gc_policy%') Enter value for parameter: gc_policy
SYS@NODE1>oradebug lkdebug -m pkey 74626 SCOTT@NODE1>select * from scott.test;
SYS@NODE1>select o.object_name, m.CURRENT_MASTER, m.PREVIOUS_MASTER, m.REMASTER_CNT from dba_objects o, v$gcspfmaster_info m where o.data_object_id=74626 and m.data_object_id = 74626 ;
will be remastered to node3
SCOTT@NODE3>insert into scott.test select * from test;
SYS@NODE1>select inst_id, sopens, xopens from x$object_policy_statistics where object=74626;
SYS@NODE1>/
SYS@NODE1>/
SYS@NODE1>/
– Note that after some time . current master changes from node1CURRENT_MASTER =0) to node3 (CURRENT_MASTER =2) . Previous master changes from node3 ( PREVIOUS_MASTER=2) to node1( PREVIOUS_MASTER=0) – Remaster count increases from 3 to 4. .
SYS@NODE2>select o.object_name, m.CURRENT_MASTER, m.PREVIOUS_MASTER, m.REMASTER_CNT from dba_objects o, v$gcspfmaster_info m where o.data_object_id=74626 and m.data_object_id = 74626 ;
16:09:16 SYS@NODE2>/
16:12:24 SYS@NODE2>/
root@node3#init 6
SYS@NODE2>select o.object_name, m.CURRENT_MASTER, m.PREVIOUS_MASTER, m.REMASTER_CNT from dba_objects o, v$gcspfmaster_info m where o.data_object_id=74626 and m.data_object_id = 74626 ;
SYS@NODE1>drop table scott.test purge; SYa@NODE1S> alter system reset "_gc_policy_minimum" = 10 scope=spfile; alter system reset "_gc_policy_time" = 1 scope=spfile; [oracle@host01 ~]$ srvctl stop database -d racdb srvctl start database -d racdb srvctl status database -d racdb

热AI工具

Undresser.AI Undress
人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover
用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool
免费脱衣服图片

Clothoff.io
AI脱衣机

Video Face Swap
使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热门文章

热工具

记事本++7.3.1
好用且免费的代码编辑器

SublimeText3汉化版
中文版,非常好用

禅工作室 13.0.1
功能强大的PHP集成开发环境

Dreamweaver CS6
视觉化网页开发工具

SublimeText3 Mac版
神级代码编辑软件(SublimeText3)

全表扫描在MySQL中可能比使用索引更快,具体情况包括:1)数据量较小时;2)查询返回大量数据时;3)索引列不具备高选择性时;4)复杂查询时。通过分析查询计划、优化索引、避免过度索引和定期维护表,可以在实际应用中做出最优选择。

是的,可以在 Windows 7 上安装 MySQL,虽然微软已停止支持 Windows 7,但 MySQL 仍兼容它。不过,安装过程中需要注意以下几点:下载适用于 Windows 的 MySQL 安装程序。选择合适的 MySQL 版本(社区版或企业版)。安装过程中选择适当的安装目录和字符集。设置 root 用户密码,并妥善保管。连接数据库进行测试。注意 Windows 7 上的兼容性问题和安全性问题,建议升级到受支持的操作系统。

MySQL 和 MariaDB 可以共存,但需要谨慎配置。关键在于为每个数据库分配不同的端口号和数据目录,并调整内存分配和缓存大小等参数。连接池、应用程序配置和版本差异也需要考虑,需要仔细测试和规划以避免陷阱。在资源有限的情况下,同时运行两个数据库可能会导致性能问题。

MySQL是一个开源的关系型数据库管理系统。1)创建数据库和表:使用CREATEDATABASE和CREATETABLE命令。2)基本操作:INSERT、UPDATE、DELETE和SELECT。3)高级操作:JOIN、子查询和事务处理。4)调试技巧:检查语法、数据类型和权限。5)优化建议:使用索引、避免SELECT*和使用事务。

LaravelEloquent模型检索:轻松获取数据库数据EloquentORM提供了简洁易懂的方式来操作数据库。本文将详细介绍各种Eloquent模型检索技巧,助您高效地从数据库中获取数据。1.获取所有记录使用all()方法可以获取数据库表中的所有记录:useApp\Models\Post;$posts=Post::all();这将返回一个集合(Collection)。您可以使用foreach循环或其他集合方法访问数据:foreach($postsas$post){echo$post->

数据集成简化:AmazonRDSMySQL与Redshift的零ETL集成高效的数据集成是数据驱动型组织的核心。传统的ETL(提取、转换、加载)流程复杂且耗时,尤其是在将数据库(例如AmazonRDSMySQL)与数据仓库(例如Redshift)集成时。然而,AWS提供的零ETL集成方案彻底改变了这一现状,为从RDSMySQL到Redshift的数据迁移提供了简化、近乎实时的解决方案。本文将深入探讨RDSMySQL零ETL与Redshift集成,阐述其工作原理以及为数据工程师和开发者带来的优势。

MySQL 数据库中,用户和数据库的关系通过权限和表定义。用户拥有用户名和密码,用于访问数据库。权限通过 GRANT 命令授予,而表由 CREATE TABLE 命令创建。要建立用户和数据库之间的关系,需创建数据库、创建用户,然后授予权限。

MySQL适合初学者使用,因为它安装简单、功能强大且易于管理数据。1.安装和配置简单,适用于多种操作系统。2.支持基本操作如创建数据库和表、插入、查询、更新和删除数据。3.提供高级功能如JOIN操作和子查询。4.可以通过索引、查询优化和分表分区来提升性能。5.支持备份、恢复和安全措施,确保数据的安全和一致性。
