For any company the most important asset is data and the most challenging job is to recovery the database with less downtime with out any data loss, in the event of database failure. In many situations users end up with incomplete recovery of the database with out knowing which data files backed and which data files need to backup. You should ensure that your database is backed up efficiently and should restore successfully when needed. The RMAN reporting provides effective and easy way to determine database backup for a successful recovery.
Often DBAs may look to tuning the UNDO* parameters as a solution towards the infamous "ORA-1555 snapshot too old" error. In most cases, before looking to tune UNDO* parameters, the best solution is to tune the query that's running into the ORA-1555 error so the query will not error out with ORA-1555 to begin with!
Hope this helps a fellow DBA or two trying to resolve the ORA-1555(s) !
Summary: An index created on column that has many duplicated rows can be tuned to save space as well as I/O trips by compressing the index defined on it.
Details: By default when we create index in Oracle, the compression is disabled on it. What if we have an index defined on a column that contains last name of all the customers, some of the names are very common as a last name. We can take advantage of this duplicated data by compressing the index defined on it.
The longer you've been working as a DBA, the more you've encountered things like these:
The time on a table changed and you don't remember doing it. You poke around but can't figure out who changed it.
There's someone you don't trust that you have to give access to. They are the kind of person that will look at things they are not supposed to, but you have to give them access.
There's someone who always messes things up when they get access. You know they'll do it again and you'll have to undo the damage. Would be nice to know what they are doing.
There's a contractor or a new employee that need access. You don't know them yet and not sure how reliable they are. It would be nice to be able to keep an eye on them.
Too many people have too much access and you're losing control. You try to figure out how to reduce the access they have or revoke some privileges, but this is pretty much what everyone claims they need to do their jobs.
You've been through an audit and the auditor wanted to know all sorts of things about the activity. Questions you just don't have the information needed to answer.
You probably spent many days chasing down the answers to these questions or try to find ways to collect it. The security in the database is set properly. The problem is that you need to know what people are doing with the access they have. This knowledge will give you more control.
Oracle Grid Infrastructure 188.8.131.52 has many features including Cluster Node Membership, Cluster Resource Management and Cluster Resources monitoring. One of the key area where DBA need to have expert knowledge on how the cluster node membership works and how the cluster decides to take out node should there be a heart beat network, voting disk or node specific issues. I have written about this before and this article specifically focuses on the 11g R2 features and I will also try to explain the reboot less node fencing.
Steps to create standby database using RMAN:
primary database name:taurus
standby database name:taurus
-force logging is enabled on the primary database.
-password file is created for primary database
-primary database is in archivelog mode
SQL> select name,open_mode,log_mode
2 from v$database;
NAME OPEN_MODE LOG_MODE
--------- ---------- ------------
TAURUS READ WRITE ARCHIVELOG
SQL> select instance_name,
The Rule engine is one of the critical pieces in an auditing solution. It sits between the data collection and the reporting output. It is the heart of the functionality that will take the job of reviewing the reports from impossible to manageable to easy. The reason it is so important is the vast amount of SQLs that go through a database engine. A good rule engine will reduce the amount of SQLs in the report and increase their relevance.
Change control is an important part of being compliant. You will not pass an audit without having a change control process in place. One of the requirements you might face is to monitor all changes in the database and make sure they all came from the change control process.
Blue Core Research's "NO BULL" buyers guide to Database Auditing products - Part 13: Application user IdentificationSubmitted by tduong on Mon, 2010-11-08 22:23
There is a common misconception about the value of application user identification. The reason for the misconception is the marketing of this feature by some companies, but we'll get into all that later. First lets examine the idea.
Most applications have a single database user that they use to access the data. To enforce security, these applications maintain an internal list of users and roles that they enforce. In other words – instead of using the database security features, that functionality is performed by the application. The result is that when you look at the database activity you see everything coming from a single user. An obvious requirement is to map the database activity to the application user as it is seen by the application.
Blue Core Research's "NO BULL" buyers guide to Database Auditing products - Part 14: Oracle and MS SQL ServerSubmitted by tduong on Fri, 2010-10-29 00:59
Most companies have more than one database vendor. Oracle, SQL Server, DB2, MySQL and Sybase are all common depending on the company, and some use less common databases such as TeraData. There are, however, some important questions to ask before you dive into your cross platform heterogeneous requirements:
* Which databases do you actually need to audit? Is all your SOX, PCI, HIPAA or other sensitive data scattered across all these databases, or is your SQL Server just used for small home-grown apps that do not have any auditing requirements?
* Do you have the same DBA or team managing all these databases, or are they different teams that will end up managing auditing solutions independently? In the later case you are better off choosing the best solution for each database rather than mandating a single solution no one is too happy with.