Databases for Free
As I mentioned earlier, there are many choices for relational databases. For the article, I confine my discussion to two: MySQL and PostgreSQL. A web search will reveal many others, including mSQL and InterBase. MySQL and PostgreSQL, however, are the primary contenders in this area.
MySQL is the more compact of the two choices, and its claim to fame is rapid read access. For that reason, MySQL has become very popular with web server applications where many reads and few writes are the norm.
MySQL has two shortcomings. First, because of a rather primitive locking scheme, as the number of writes increases, performance drops substantially. Second, MySQL did not support transactions until the current version, 3.23. This support, by the way, uses the capabilities of the Berkeley DB software from Sleepycat.
Interfaces are available for most programming languages. Many Linux distributions include MySQL, or you can go to http://www.mysql.com/ for the latest version. As of June 2000, MySQL has been available under the GNU Public License.
PostgreSQL is the most advanced open-source database system. It grew out of Dr. Michael Stonebraker's Postgres project at the University of California at Berkeley. PostgreSQL replaced the QUEL query language of Postgres with the more common (and standard) SQL.
Discussion of the advanced capabilities of PostgreSQL could easily be an article and, more likely, a complete book. Rather than try to document all of its features, let me list some of the highlights. If the previously discussed solutions don't offer all you need for your system and this list sparks your interest, you can find more information and the software itself at http://www.postgresql.org/.
Triggers--the ability to execute server-side functions for each modified row in a table.
Temporary tables--tables that exist only for the duration of a database session.
Foreign keys--the ability to constrain values in a column based on columns in other tables.
Like other databases, there are interfaces to PostgreSQL for most programming languages. Server-side functions (which extend PostgreSQL) can be written in SQL, PL/PSQL, PL/TCL, PL/Perl and C.
If your embedded application needs to store tabular data, you are talking about a database. Everything from a flat file to a relational database is on the table. When shopping for the right answer, there is more to consider than code size and reliability. In particular, think about support issues. Working with flat files is very easy, as is using the Berkeley DB routines. On the other hand, using a relational database such as MySQL or PostgreSQL introduces a lot of new code into your system, a new language and a reasonable investment of time in the role of a database administrator.
When you are developing your application, select or design an interface to the database that is flexible. In other words, make sure all the code that offers the actual interface to the database you select is small and self-contained. That way, the replacement of one database with another will not mean a major rewrite of your entire system.
Sid Wentworth prefers animals to people but also sees that computers can be his friend. He has over 20 years of experience working with computers, virtually all without involvement with Microsoft products. Sid can be reached at email@example.com.
Practical Task Scheduling Deployment
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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|The Firebird Project's Firebird Relational Database||Jul 29, 2016|
|Stunnel Security for Oracle||Jul 28, 2016|
|SUSE LLC's SUSE Manager||Jul 21, 2016|
|My +1 Sword of Productivity||Jul 20, 2016|
|Non-Linux FOSS: Caffeine!||Jul 19, 2016|
|Murat Yener and Onur Dundar's Expert Android Studio (Wrox)||Jul 18, 2016|
- The Firebird Project's Firebird Relational Database
- Stunnel Security for Oracle
- My +1 Sword of Productivity
- Non-Linux FOSS: Caffeine!
- SUSE LLC's SUSE Manager
- Managing Linux Using Puppet
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- Parsing an RSS News Feed with a Bash Script
- Google's SwiftShader Released
- SuperTuxKart 0.9.2 Released
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide