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  • Does my basic PHP Socket Server need optimization?

    - by Tom
    Like many people, I can do a lot of things with PHP. One problem I do face constantly is that other people can do it much cleaner, much more organized and much more structured. This also results in much faster execution times and much less bugs. I just finished writing a basic PHP Socket Server (the real core), and am asking you if you can tell me what I should do different before I start expanding the core. I'm not asking about improvements such as encrypted data, authentication or multi-threading. I'm more wondering about questions like "should I maybe do it in a more object oriented way (using PHP5)?", or "is the general structure of the way the script works good, or should some things be done different?". Basically, "is this how the core of a socket server should work?" In fact, I think that if I just show you the code here many of you will immediately see room for improvements. Please be so kind to tell me. Thanks! #!/usr/bin/php -q <? // config $timelimit = 180; // amount of seconds the server should run for, 0 = run indefintely $address = $_SERVER['SERVER_ADDR']; // the server's external IP $port = 9000; // the port to listen on $backlog = SOMAXCONN; // the maximum of backlog incoming connections that will be queued for processing // configure custom PHP settings error_reporting(1); // report all errors ini_set('display_errors', 1); // display all errors set_time_limit($timelimit); // timeout after x seconds ob_implicit_flush(); // results in a flush operation after every output call //create master IPv4 based TCP socket if (!($master = socket_create(AF_INET, SOCK_STREAM, SOL_TCP))) die("Could not create master socket, error: ".socket_strerror(socket_last_error())); // set socket options (local addresses can be reused) if (!socket_set_option($master, SOL_SOCKET, SO_REUSEADDR, 1)) die("Could not set socket options, error: ".socket_strerror(socket_last_error())); // bind to socket server if (!socket_bind($master, $address, $port)) die("Could not bind to socket server, error: ".socket_strerror(socket_last_error())); // start listening if (!socket_listen($master, $backlog)) die("Could not start listening to socket, error: ".socket_strerror(socket_last_error())); //display startup information echo "[".date('Y-m-d H:i:s')."] SERVER CREATED (MAXCONN: ".SOMAXCONN.").\n"; //max connections is a kernel variable and can be adjusted with sysctl echo "[".date('Y-m-d H:i:s')."] Listening on ".$address.":".$port.".\n"; $time = time(); //set startup timestamp // init read sockets array $read_sockets = array($master); // continuously handle incoming socket messages, or close if time limit has been reached while ((!$timelimit) or (time() - $time < $timelimit)) { $changed_sockets = $read_sockets; socket_select($changed_sockets, $write = null, $except = null, null); foreach($changed_sockets as $socket) { if ($socket == $master) { if (($client = socket_accept($master)) < 0) { echo "[".date('Y-m-d H:i:s')."] Socket_accept() failed, error: ".socket_strerror(socket_last_error())."\n"; continue; } else { array_push($read_sockets, $client); echo "[".date('Y-m-d H:i:s')."] Client #".count($read_sockets)." connected (connections: ".count($read_sockets)."/".SOMAXCONN.")\n"; } } else { $data = @socket_read($socket, 1024, PHP_NORMAL_READ); //read a maximum of 1024 bytes until a new line has been sent if ($data === false) { //the client disconnected $index = array_search($socket, $read_sockets); unset($read_sockets[$index]); socket_close($socket); echo "[".date('Y-m-d H:i:s')."] Client #".($index-1)." disconnected (connections: ".count($read_sockets)."/".SOMAXCONN.")\n"; } else { if ($data = trim($data)) { //remove whitespace and continue only if the message is not empty switch ($data) { case "exit": //close connection when exit command is given $index = array_search($socket, $read_sockets); unset($read_sockets[$index]); socket_close($socket); echo "[".date('Y-m-d H:i:s')."] Client #".($index-1)." disconnected (connections: ".count($read_sockets)."/".SOMAXCONN.")\n"; break; default: //for experimental purposes, write the given data back socket_write($socket, "\n you wrote: ".$data); } } } } } } socket_close($master); //close the socket echo "[".date('Y-m-d H:i:s')."] SERVER CLOSED.\n"; ?>

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  • MySQL query optimization.

    - by PiKey
    I'm so bad in making good MySQL queries. I've created this one: http://pastebin.com/GtDfgky8 products Table have about 17k rows, allegro Table have about 3k of rows. The query Idea is select all products, where stock_quanity 3, where is photo, and where is no product id in allegro table. Now query takes about 10 seconds... I have no idea how I can optimize this query. Please help my, I'll be thankfully! :) & Sorry for my bad English also

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  • PHP custom function code optimization

    - by Alex
    Now comes the hard part. How do you optimize this function: function coin_matrix($test, $revs) { $coin = array(); for ($i = 0; $i < count($test); $i++) { foreach ($revs as $j => $rev) { foreach ($revs as $k => $rev) { if ($j != $k && $test[$i][$j] != null && $test[$i][$k] != null) { if(!isset($coin[$test[$i][$j]])) { $coin[$test[$i][$j]] = array(); } if(!isset($coin[$test[$i][$j]][$test[$i][$k]])) { $coin[$test[$i][$j]][$test[$i][$k]] = 0; } $coin[$test[$i][$j]][$test[$i][$k]] += 1 / ($some_var - 1); } } } } return $coin; } I'm not that good at this and if the arrays are large, it runs forever. The function is supposed to find all pairs of values from a two-dim array and sum them like this: $coin[$i][$j] += sum_of_pairs_in_array_row / [count(elements_of_row) - 1] Thanks a lot!

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  • C++ iterators & loop optimization

    - by Quantum7
    I see a lot of c++ code that looks like this: for( const_iterator it = list.begin(), const_iterator ite = list.end(); it != ite; ++it) As opposed to the more concise version: for( const_iterator it = list.begin(); it != list.end(); ++it) Will there be any difference in speed between these two conventions? Naively the first will be slightly faster since list.end() is only called once. But since the iterator is const, it seems like the compiler will pull this test out of the loop, generating equivalent assembly for both.

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  • Mysql optimization

    - by Jens
    I have this mysql table called comments which looks like this: commentID parentID type userID date comment The commentID is set as Primary key, but most of the time I fetch the data using the parentID. How should I set my indexes? Should I just add an index on parentID and let commentID be the primary key?

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  • Constant embedded for loop condition optimization in C++ with gcc

    - by solinent
    Will a compiler optimize tihs: bool someCondition = someVeryTimeConsumingTask(/* ... */); for (int i=0; i<HUGE_INNER_LOOP; ++i) { if (someCondition) doCondition(i); else bacon(i); } into: bool someCondition = someVeryTimeConsumingTask(/* ... */); if (someCondition) for (int i=0; i<HUGE_INNER_LOOP; ++i) doCondition(i); else for (int i=0; i<HUGE_INNER_LOOP; ++i) bacon(i); someCondition is trivially constant within the for loop. This may seem obvious and that I should do this myself, but if you have more than one condition then you are dealing with permuatations of for loops, so the code would get quite a bit longer. I am deciding on whether to do it (I am already optimizing) or whether it will be a waste of my time.

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  • MySQL: optimization of table (indexing, foreign key) with no primary keys

    - by Haradzieniec
    Each member has 0 or more orders. Each order contains at least 1 item. memberid - varchar, not integer - that's OK (please do not mention that's not very good, I can't change it). So, thera 3 tables: members, orders and order_items. Orders and order_items are below: CREATE TABLE `orders` ( `orderid` INT(11) UNSIGNED NOT NULL AUTO_INCREMENT, `memberid` VARCHAR( 20 ), `Time` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP , `info` VARCHAR( 3200 ) NULL , PRIMARY KEY (orderid) , FOREIGN KEY (memberid) REFERENCES members(memberid) ) ENGINE = InnoDB; CREATE TABLE `order_items` ( `orderid` INT(11) UNSIGNED NOT NULL, `item_number_in_cart` tinyint(1) NOT NULL , --- 5 items in cart= 5 rows `price` DECIMAL (6,2) NOT NULL, FOREIGN KEY (orderid) REFERENCES orders(orderid) ) ENGINE = InnoDB; So, order_items table looks like: orderid - item_number_in_cart - price: ... 1000456 - 1 - 24.99 1000456 - 2 - 39.99 1000456 - 3 - 4.99 1000456 - 4 - 17.97 1000457 - 1 - 20.00 1000458 - 1 - 99.99 1000459 - 1 - 2.99 1000459 - 2 - 69.99 1000460 - 1 - 4.99 ... As you see, order_items table has no primary keys (and I think there is no sense to create an auto_increment id for this table, because once we want to extract data, we always extract it as WHERE orderid='1000456' order by item_number_in_card asc - the whole block, id woudn't be helpful in queries). Once data is inserted into order_items, it's not UPDATEd, just SELECTed. The questions are: I think it's a good idea to put index on item_number_in_cart. Could anybody please confirm that? Is there anything else I have to do with order_items to increase the performance, or that looks pretty good? I could miss something because I'm a newbie. Thank you in advance.

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  • LinQ optimization

    - by Budda
    Here is a peace of code: void MyFunc(List<MyObj> objects) { MyFunc1(objects); foreach( MyObj obj in objects.Where(obj1=>obj1.Good)) { // Do Action With Good Object } } void MyFunc1(List<MyObj> objects) { int iGoodCount = objects.Where(obj1=>obj1.Good).Count(); BeHappy(iGoodCount); // do other stuff with 'objects' collection } Here we see that collection is analyzed twice and each time the value of 'Good' property is checked for each member: 1st time when calculating count of good objects, 2nd - when iterating through all good objects. It is desirable to have that optimized, and here is a straightforward solution: before call to MyFunc1 makecreate an additional temporary collection of good objects only (goodObjects, it can be IEnumerable); get count of these objects and pass it as an additional parameter to MyFunc1; in the 'MyFunc' method iterate not through 'objects.Where(...)' but through the 'goodObjects' collection. Not too bad approach (as far as I see), but additional parameter is required to be passed. Question: is there any LinQ out-of-the-box functionality that allows any caching during 1st Where().Count(), remembering a processed collection and use it in the next iteration? Any thoughts are welcome. Thanks.

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  • Search Engine Optimization Crucial For Site Page Rank

    Search engine optimization is a process to drive traffic to your blog or sites. Search engines are the best way to give you the traffic that will boost your product sell. And as per the internet marketing is concern the search engine optimization is best way. The reward are numerous but the two that stand out are; you blog will rank higher and you will generate traffic directly proportional to higher selling of your product. For a long time now sitemaps have assisted online business people achieve webpage site optimization.

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  • Key Techniques For Search Engine Optimization in 2010

    The art of creating web pages which will rank high in search engine returns is called Search Engine Optimization or SEO. By optimizing certain elements or sections in the HTML code of each page, SEO can be accomplished. The search engines specifically read these sections. The level of optimization can help determine the amount free referral traffic.

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  • Évènement : eMetrics Marketing Optimization Summit, le salon de l'optimisation marketing et de la Bu

    eMetrics Marketing Optimization / SMX - l'événement webmarketing à ne pas manquer La première en France et ce sera au Hilton à Paris le 15 et 16 juin Le sommet eMetrics Marketing Optimization - l´évènement international de référence pour l´e-marketing et le « Web Analytics » - fera son entrée en France, pour la première fois le 15 et 16 juin 2010 à Paris. Depuis 2002, c´est la plateforme de rencontre des responsables marketing, des analystes web et des experts en business intelligence qui souhaitent augmenter leur retour sur investissements en ligne. Il est généralement mené en parallèle avec

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  • Premature-Optimization and Performance Anxiety

    - by James Michael Hare
    While writing my post analyzing the new .NET 4 ConcurrentDictionary class (here), I fell into one of the classic blunders that I myself always love to warn about.  After analyzing the differences of time between a Dictionary with locking versus the new ConcurrentDictionary class, I noted that the ConcurrentDictionary was faster with read-heavy multi-threaded operations.  Then, I made the classic blunder of thinking that because the original Dictionary with locking was faster for those write-heavy uses, it was the best choice for those types of tasks.  In short, I fell into the premature-optimization anti-pattern. Basically, the premature-optimization anti-pattern is when a developer is coding very early for a perceived (whether rightly-or-wrongly) performance gain and sacrificing good design and maintainability in the process.  At best, the performance gains are usually negligible and at worst, can either negatively impact performance, or can degrade maintainability so much that time to market suffers or the code becomes very fragile due to the complexity. Keep in mind the distinction above.  I'm not talking about valid performance decisions.  There are decisions one should make when designing and writing an application that are valid performance decisions.  Examples of this are knowing the best data structures for a given situation (Dictionary versus List, for example) and choosing performance algorithms (linear search vs. binary search).  But these in my mind are macro optimizations.  The error is not in deciding to use a better data structure or algorithm, the anti-pattern as stated above is when you attempt to over-optimize early on in such a way that it sacrifices maintainability. In my case, I was actually considering trading the safety and maintainability gains of the ConcurrentDictionary (no locking required) for a slight performance gain by using the Dictionary with locking.  This would have been a mistake as I would be trading maintainability (ConcurrentDictionary requires no locking which helps readability) and safety (ConcurrentDictionary is safe for iteration even while being modified and you don't risk the developer locking incorrectly) -- and I fell for it even when I knew to watch out for it.  I think in my case, and it may be true for others as well, a large part of it was due to the time I was trained as a developer.  I began college in in the 90s when C and C++ was king and hardware speed and memory were still relatively priceless commodities and not to be squandered.  In those days, using a long instead of a short could waste precious resources, and as such, we were taught to try to minimize space and favor performance.  This is why in many cases such early code-bases were very hard to maintain.  I don't know how many times I heard back then to avoid too many function calls because of the overhead -- and in fact just last year I heard a new hire in the company where I work declare that she didn't want to refactor a long method because of function call overhead.  Now back then, that may have been a valid concern, but with today's modern hardware even if you're calling a trivial method in an extremely tight loop (which chances are the JIT compiler would optimize anyway) the results of removing method calls to speed up performance are negligible for the great majority of applications.  Now, obviously, there are those coding applications where speed is absolutely king (for example drivers, computer games, operating systems) where such sacrifices may be made.  But I would strongly advice against such optimization because of it's cost.  Many folks that are performing an optimization think it's always a win-win.  That they're simply adding speed to the application, what could possibly be wrong with that?  What they don't realize is the cost of their choice.  For every piece of straight-forward code that you obfuscate with performance enhancements, you risk the introduction of bugs in the long term technical debt of the application.  It will become so fragile over time that maintenance will become a nightmare.  I've seen such applications in places I have worked.  There are times I've seen applications where the designer was so obsessed with performance that they even designed their own memory management system for their application to try to squeeze out every ounce of performance.  Unfortunately, the application stability often suffers as a result and it is very difficult for anyone other than the original designer to maintain. I've even seen this recently where I heard a C++ developer bemoaning that in VS2010 the iterators are about twice as slow as they used to be because Microsoft added range checking (probably as part of the 0x standard implementation).  To me this was almost a joke.  Twice as slow sounds bad, but it almost never as bad as you think -- especially if you're gaining safety.  The only time twice is really that much slower is when once was too slow to begin with.  Think about it.  2 minutes is slow as a response time because 1 minute is slow.  But if an iterator takes 1 microsecond to move one position and a new, safer iterator takes 2 microseconds, this is trivial!  The only way you'd ever really notice this would be in iterating a collection just for the sake of iterating (i.e. no other operations).  To my mind, the added safety makes the extra time worth it. Always favor safety and maintainability when you can.  I know it can be a hard habit to break, especially if you started out your career early or in a language such as C where they are very performance conscious.  But in reality, these type of micro-optimizations only end up hurting you in the long run. Remember the two laws of optimization.  I'm not sure where I first heard these, but they are so true: For beginners: Do not optimize. For experts: Do not optimize yet. This is so true.  If you're a beginner, resist the urge to optimize at all costs.  And if you are an expert, delay that decision.  As long as you have chosen the right data structures and algorithms for your task, your performance will probably be more than sufficient.  Chances are it will be network, database, or disk hits that will be your slow-down, not your code.  As they say, 98% of your code's bottleneck is in 2% of your code so premature-optimization may add maintenance and safety debt that won't have any measurable impact.  Instead, code for maintainability and safety, and then, and only then, when you find a true bottleneck, then you should go back and optimize further.

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  • Some Keyword Optimization Tips For Your Work From Home

    Part of search engine optimization or SEO is keyword optimization. We optimize our keywords for our website because these words or phrases are the ones that will link us to our customers or target audience. By typing these keywords in the search box of popular search engines, customers are able to find us, our website and of course, our business or work from home.

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  • Keyword Optimization Tips That Work

    As an online marketer or business owner who is advertising and promoting products and services online, one of the significant selling methods you ought to be acquainted with and be aware of is on page keyword optimization. Keyword optimization is an essential part in the SEO process.

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  • Search engine optimization Links

    - by Michael Freidgeim
    Below there are a few links, that I used for my Search engine optimization research:     http://websearch.about.com/od/designforsearch/ss/tendesigntips.htm     Keyword Selection Guidelines   Where To Use Keywords  Google Search Engine Optimization http://websearch.about.com/od/keywordsandphrases/a/sitedesign.htm     http://en.wikipedia.org/wiki/Search_engine_optimization       http://www.google.com/support/webmasters/bin/answer.py?answer=35291

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  • Search Engine Placement Optimization and Link Popularity

    The increased visibility of your website due to high link popularity and search engine placement optimization can mean so much, especially if you are promoting a product or service through your website. If you are new to the business of link building, you might be wondering how to get started with it and how search engine placement optimization can help you. Knowledge of link popularity basics is essential even if you are planning on hiring someone to do link building tasks for you.

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  • Simple Web Marketing, Search Engine Optimization Strategies For an Online Small Business

    There are a number of simple web marketing, search engine optimization strategies you should keep in mind when you are dealing with an online small business. Regardless of whether you are an offline small business entrepreneur with a company website or, exclusively, an online small-business entrepreneur, these are the simple web marketing, search engine optimization guidelines you ought to keep in mind.

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  • Internet Search Engine Optimization For Blockheads

    In today's competitive world, the only way to guarantee that your website will get noticed and therefore earn revenue, is to make sure it goes through internet search engine optimization. This can be achieved by hiring a company that specializes in search engine optimization or SEO.

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  • Off-Page Factors That Affect Search Optimization

    Following the discussion of the on-page factors that affect search engine optimization in one of my recent writings, I deem it fit to also discuss the off-page factors that can be of great importance to your search engine optimization campaign. Though many people will not readily agree that something like these exist; but I want to make it known categorically that these less considered factors are also very vital to achieving result in your internet marketing business.

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  • How Search Engine Optimization Can Improve Your Business

    Before I move on to how Search Engine Optimization in Toronto can improve your business, you need to familiarize yourself with search engine optimization (SEO). Many people think SEO is a very complex process with many steps and procedures involved. It is true to a certain extent as there are many things which have to be done in SEO, but SEO is simplified if you know the basics well.

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