By Andre Ben-Hamou
Ruby has set the realm on fireplace, proving itself a significant challenger to Perl and Python in all spheres. particularly, an increasing number of individuals are researching that Rubys flexibility, tremendous characteristic set, and delicate studying curve make it a average selection for approach management projects, from the humblest server to the biggest company deployment. in the pages of functional Ruby for method management, youll research the Ruby method to build records, faucet into clouds of information, construct domain-specific languages, practice community site visitors research, and extra. in keeping with writer Andr Ben Hamous personal stories operating as a approach administrator, this booklet can help you decide up functional tips about Ruby coding variety, the way to learn and enhance script functionality, and utilize no-nonsense suggestion on scripting workflow, together with trying out and documentation. in particular, youll come to understand the sheer energy of Ruby and the masses of advantages it deals for method management. This publication areas equivalent emphasis on primary Ruby innovations in addition to sensible how-tos. It makes use of examples from different languages to ease the transition to Ruby. The booklet is concise, interesting, and informativeunlike many books geared toward method directors, that are overly lengthy and stodgy.
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Additional resources for Practical Ruby for System Administration (Expert's Voice in Open Source)
The race is on. txt", "r") /* open a file descriptor */ assert (f); /* fail noisily if we couldn't open the file */ /* need to scan the file but fscanf() isn't going to help because nobody defined a conversion code for a number as stupidly large as 1024 bits */ ... txt Resisting the urge to run it, Ms. Ruby reads it back to herself to make sure it makes sense. txt), autosplit the record using default whitespace rules and assign the array of fields to a variable called $F (-a), which should be available to a specified bit of code to be executed (-e).
It is important to remember that optimization is a very script-specific process and the following sections describe only the most general rules of thumb. I will also say that the line between steps 2 and 3 is at best a little blurry. Algorithmic Optimization You will remember from Listings 3-1, 3-4, and 3-5 that a simple change in algorithm can have a demonstrably huge effect on performance. In fact, optimizing the algorithms employed by code is just good practice, irrespective of language or platform (with due deference to the point made earlier about balancing development time against execution speedup).
The fans in my machine started to whir as it became progressively less responsive. I killed the process and sat back to have a think about it. What had I done wrong? Then it hit me. For every single file in the tree, I was launching an application to check the size of the pertinent resource fork. One launch per file; tens of thousands of files. Well-written C applications are like lightning when they’re running, but any runtime has to get going, and launching an application (even a small one like test) takes time.