Open Database Connectivity
Initialize ODBC by calling SQLAllocEnv and SQLAllocConnect, then call SQLConnect.
Initialize a statement by calling SQLAllocStmt. Call SQLPrepare to allow the Driver Manager a chance to preprocess the SQL, then call SQLExecute.
The simplest way to process results is to call SQLFetch in a loop and SQLGetData for each column in the result set. SQLNumResultCols can be used to find out how many columns are in the result set.
Call SQLFreeStmt, SQLDisconnect, SQLFreeConnect and SQLFreeEnv to clean up. Your source should include sqlext.h (see Figure 5) and should link against libodbc.so (see Figure 1).
The driver and the Driver Manager share 98 percent of their function names. This is not surprising when you consider that the Driver Manager passes off most processing to the driver. An important difference, however, is that the Environment, Connection and Statement handles contain different information. For example, the driver's Connection handle will often contain some database-specific data such as a socket handle, while the Driver Manager's Connection handle will usually contain very little aside from a pointer to the driver's Connection handle. unixODBC contains a driver template which should act as a good starting point for anyone interested in creating a new driver. It should be very easy to port a driver to/from Linux using unixODBC, because unixODBC is designed to support driver code from other platforms. A useful driver will implement, at a minimum, the following functions: SQLAllocConnect, SQLFreeConnect, SQLAllocStmt, SQLFreeStmt, SQLConnect, SQLDisconnect, SQLPrepare, SQLExecute, SQLFetch, SQLGetData, SQLNumResultCols and SQLColAttribute.
Perhaps the best way to learn how a driver works is to look at some driver code. unixODBC contains a number of such examples. Your source will likely implement driver.h and driverextras.h, but at a minimum it should include sqlext.h and odbcinst.h (see Figure 5). Driver code from other platforms may have their own version of driver.h and driverextras.h or may not have them at all; this is okay, because these two includes are implemented in the local source directory and are not used by any other code. You should link against libodbcinst.so and any database-specific libraries (see Figure 1). unixODBC has something for just about every Linux user.
Application developers can now create portable data access code independent of the platform and the data source. Driver programmers can use the unixODBC driver template to get started on a new driver, then use Odbcinst when creating their install script/RPM. All Linux users can easily configure ODBC data sources for their applications with ODBCConfig, then take a look at what resources are available in a data source by browsing in the DataManager. Ease of use and functionality surpass other platforms which have had ODBC for a number of years. Most importantly, widespread adoption of unixODBC in popular Linux distributions will allow application developers to assume a desktop has these features and take advantage of them. Such features are of critical importance in having Linux fully accepted on an average user's desk.
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.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
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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
- Doing for User Space What We Did for Kernel Space
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