In this article James continues to explore the Oracle's Metadata API and provides a powerful function to compare objects and schemas and print the DDL required to bring them in sync.
This article shows how Oracle's Heterogeneous Services can be configured to allow a database to connect to a Microsoft Access database using standard databases links. The method described can be used to connect to MS-Access from about any platform - Unix/ Linux or Windows.
In this article James explores the Oracle's Metadata API (DBMS_METADATA) and shows how database users can extract object definitions (DDL statements) from an Oracle database without having to go through a stack of dictionary views.
Jared explains how Oracle manages passwords and how "thinking like a hacker" can help you to better protect your databases from potential password theft.
Much of the OLAP reporting feature embedded in Oracle SQL is ignored. People turn to expensive OLAP reporting tools in the market - even for simple reporting needs. This article outlines some of the common OLAP reporting needs and shows how to meet them by using the enhanced aggregation features of Oracle SQL.
The article is divided in two sections. The first introduces the GROUP BY extensions of SQL, and the second uses them to generate some typical reports. A section at the end introduces the common OLAP terminologies.
The AWR tables contain super-useful information about the time-series execution plans for SQL statements and this repository can be used to display details about the frequency of usage for table and indexes. This article will expore these AWR tables and expose their secrets.
There is a great debate about the rapidly-falling costs of RAM and the performance benefits of full caching of Oracle databases. Let's take a closer look at the issues over large RAM data buffers, tuning by adjusting system parameters and using fast hardware to correct sub-optimal Oracle code:
This article provides a clear, thorough concept of analytic functions and its various options by a series of simple yet concept building examples. The article is intended for SQL coders, who for might be not be using analytic functions due to unfamiliarity with its cryptic syntax or uncertainty about its logic of operation. Often I see that people tend to reinvent the feature provided by analytic functions by native join and sub-query SQL. This article assumes familiarity with basic Oracle SQL, sub-query, join and group function from the reader. Based on that familiarity, it builds the concept of analytic functions through a series of examples.
Prior to Oracle9i, the only two cost-based optimizer modes were all_rows and first_rows optimization. One of the shortcomings of traditional first_rows SQL optimization was that the first_rows goal did not know the scope of the query and generally favored index access over full-table scans.
Sometimes it is a rouge query, sometimes a simple data clean up effort by the users, whatever may the cause be, inadvertent data-loss is a very common phenomenon. Backup and recovery capabilities are provided by the database management systems which ensure the safety and protection of valuable enterprise data in case of data loss however, not all data-loss situations call for a complete and tedious recovery exercise from the backup. Oracle introduced flashback features in Oracle 9i and 10g to address simple data recovery needs.