One of the great features about partitioning, and most specifically range-based partitioning, is the ability to load data quickly and easily with minimal impact on the current users using:
alter table call exchange partition data_2007 with table call_temp;
Star Transformation in Siebel Analytics (OBIEE)
Star Transformation is a join method mostly used in Data Warehousing Environments to fine tune typical query performance. It is of utmost importance in DB environments where reporting tools like Siebel Analytics (OBIEE) is in use. It can also be used for other tools such as Business Objects. The conventional join mechanisms that the star transformation seeks to supersede are Hash join, nested-loops and sort merge join.
This paper shows how to take full advantage of this RDBMS feature.
In this article I will tell you how you can make a dynamic List of values in oracle forms builder, most developer use many techniques to make List of values.
This post is to discuss about the Best Practices that was followed in implementing a new Self Service Applications using OA Framework.
A College needed a web based enrollment system for its students to enroll online without needing to fill up a paper. This was designed for a new i-module for Student Enrolment was developed in OA Framework, using jDeveloper,Rapid Application Development Environment. The benefits of the RAD environment and OA Framework Technology was well utilized to meet the deadlines.
The main challenges faced by the project were , I identification of a roadmap to transform existing system and there was no proper oracle documentation on how to develop a transaction page in OA Framework.
LOBs deal with unstructured data, the ones which are the most difficult to store and retrieve in a relational database.
In this article, I am going to discuss extensively and manipulate the ORACLE
* LOBs that are stored in the database itself like BLOB,CLOB,NCLOB ,and
* LOBs like BFILE which are Stored outside the database as Operating System files.
First let us create a directory :
create or replace directory my_dir as 'D:\pics';
BFILEs act as a pointer and store the location of the external OS files in database tables.
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.
Suppose your boss calls you one day and tells you that there has been some unexpected changes in the employee database.Employee's designation, their salary are being manipulated illegally.Such things have been continuing from a past few days and he asks if you could help getting hold of the culprit.
Don't worry Oracle's DBMS_FGA package will save your day and earn you a raise in your job.
The Oracle DBMS_FGA package provides fine grained auditing on objects.
To have an overview of the summary of dbms_fga subprograms visit :
Generic query generating a list of date time. You need to substitute required interval number.
I am sharing a nice article on RTF template design written by one of our senior consultant Mr. Venkat from Adiva Consulting.
The objective of this post is to explain the “sorting” capabilities available in the RTF. Many might
already be aware of the standard BI Publisher syntax for sorting in the RTF template:
The above construct sorts the data by the VENDOR_NAME in ascending order – an alphabetic sort
is performed. However, what if the requirement was to sort on a number field.
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.