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  • optimizing any OS for maximum informix client/server performance

    - by Frank Developer
    Is there any Informix documentation for optimizing any operating system where an ifx engine is running? For example, in Linux, strip-down to a bare minimum all unnecessary binaries, daemons, utilities, tune kernel parameters, optimize raw and cooked devices (hdparm), place swap space on beginning tracks of a disk, etc. Someday, maybe, Informix can create its own proprietary and dedicated PICK-like O/S to provide the most optimized environment for a standalone ifx server? The general idea is for the OS where ifx sits on have the smallest footprint and lowest overhead impact.

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  • iPhone OS: making a switch statement that uses string literals as comparators instead of integers

    - by nickthedude
    So i'd like to do this: switch (keyPath) { case @"refreshCount": //do stuff case @"timesLaunched": //do other stuff } but apparently you can only use integers as the switch quantity. Is the only way to do this parse the string into an integer identifier and then run the switch statement? like this: nsinteger num = nil; if (keyPath isEqual:@"refreshCount") { num = 0 } if (keyPath isEqual:@"timesLaunched") { num = 1 } I'm trying to optimize this code to be as quick as possible because its going to get called quite often. thanks, Nick

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  • Slow MySQL query....only sometimes

    - by Shane N
    I have a query that's used in a reporting system of ours that sometimes runs quicker than a second, and other times takes 1 to 10 minutes to run. Here's the entry from the slow query log: # Query_time: 543 Lock_time: 0 Rows_sent: 0 Rows_examined: 124948974 use statsdb; SELECT count(distinct Visits.visitorid) as 'uniques' FROM Visits,Visitors WHERE Visits.visitorid=Visitors.visitorid and candidateid in (32) and visittime>=1275721200 and visittime<=1275807599 and (omit=0 or omit>=1275807599) AND Visitors.segmentid=9 AND Visits.visitorid NOT IN (SELECT Visits.visitorid FROM Visits,Visitors WHERE Visits.visitorid=Visitors.visitorid and candidateid in (32) and visittime<1275721200 and (omit=0 or omit>=1275807599) AND Visitors.segmentid=9); It's basically counting unique visitors, and it's doing that by counting the visitors for today and then substracting those that have been here before. If you know of a better way to do this, let me know. I just don't understand why sometimes it can be so quick, and other times takes so long - even with the same exact query under the same server load. Here's the EXPLAIN on this query. As you can see it's using the indexes I've set up: id select_type table type possible_keys key key_len ref rows Extra 1 PRIMARY Visits range visittime_visitorid,visitorid visittime_visitorid 4 NULL 82500 Using where; Using index 1 PRIMARY Visitors eq_ref PRIMARY,cand_visitor_omit PRIMARY 8 statsdb.Visits.visitorid 1 Using where 2 DEPENDENT SUBQUERY Visits ref visittime_visitorid,visitorid visitorid 8 func 1 Using where 2 DEPENDENT SUBQUERY Visitors eq_ref PRIMARY,cand_visitor_omit PRIMARY 8 statsdb.Visits.visitorid 1 Using where I tried to optimize the query a few weeks ago and came up with a variation that consistently took about 2 seconds, but in practice it ended up taking more time since 90% of the time the old query returned much quicker. Two seconds per query is too long because we are calling the query up to 50 times per page load, with different time periods. Could the quick behavior be due to the query being saved in the query cache? I tried running 'RESET QUERY CACHE' and 'FLUSH TABLES' between my benchmark tests and I was still getting quick results most of the time. Note: last night while running the query I got an error: Unable to save result set. My initial research shows that may be due to a corrupt table that needs repair. Could this be the reason for the behavior I'm seeing? In case you want server info: Accessing via PHP 4.4.4 MySQL 4.1.22 All tables are InnoDB We run optimize table on all tables weekly The sum of both the tables used in the query is 500 MB MySQL config: key_buffer = 350M max_allowed_packet = 16M thread_stack = 128K sort_buffer = 14M read_buffer = 1M bulk_insert_buffer_size = 400M set-variable = max_connections=150 query_cache_limit = 1048576 query_cache_size = 50777216 query_cache_type = 1 tmp_table_size = 203554432 table_cache = 120 thread_cache_size = 4 wait_timeout = 28800 skip-external-locking innodb_file_per_table innodb_buffer_pool_size = 3512M innodb_log_file_size=100M innodb_log_buffer_size=4M

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  • cpu floating operations cost

    - by wiso
    I'm interesting in the time cost on a modern desktop cpu of some floating point operations in order to optimize a mathematical evaluation. In particular I'm interested on the comparison between complex operations like exp, log and simple operation like +, *, /. I tried to search for these information, but I can't find a source.

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  • url optimization in rails?

    - by piemesons
    Hello I want to create seo optimize url in rails.Same like done in stackoverflow. Right now this is my url http://localhost:3000/questions/56 I want to make it something like this:- http://localhost:3000/questions/56/this-is-my-optimized-url i am using restful approach. is there any plug-in available for this.

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  • What is fastest way to convert bool to byte?

    - by Amir Rezaei
    What is fastest way to convert bool to byte? I want this mapping: False=0, True=1 Note: I don't want to use any if statement. Update: I don't want to use conditional statement. I don't want the CPU to halt or guess next statement. I want to optimize this code: private static string ByteArrayToHex(byte[] barray) { char[] c = new char[barray.Length * 2]; byte k; for (int i = 0; i < barray.Length; ++i) { k = ((byte)(barray[i] >> 4)); c[i * 2] = (char)(k > 9 ? k + 0x37 : k + 0x30); k = ((byte)(barray[i] & 0xF)); c[i * 2 + 1] = (char)(k > 9 ? k + 0x37 : k + 0x30); } return new string(c); } Update: The length of the array is very large, it's in terabyte order! Therefore I need to do optimization if possible. I shouldn't need to explain my self. The question is still valid. Update: I'm working on a project and looking at others code. That's why I didn't provide with the function at first place. I didn't want to spend time on explaining for people when they have opinion about the code. I shouldn’y need to provide in my question the background of my work, and a function that is not written by me. I have started to optimize it part by part. If I needed help with the whole function I would asked that in another question. That is why I asked this very simple at the beginning. Unfortunately people couldn’t keep themselves to the question. So please if you want to help answer the question. Update: For dose who want to see the point of this question. This example shows how two if statement are reduced from the code. byte A = k > 9 ; //If it was possible (k>9) == 0 || 1 c[i * 2] = A * (k + 0x30) - (A - 1) * (k + 0x30);

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  • Optimizing a memoization decorator not increase call stack

    - by Tyler Crompton
    I have a very, very basic memoization decorator that I need to optimize below: def memoize(function): memos = {} def wrapper(*args): try: return memos[args] except KeyError: pass result = function(*args) memos[args] = result return result return wrapper The goal is to make this so that it doesn't add on to the call stack. It actually doubles it right now. I realize that I can embed this on a function by function basis, but that is not desired as I would like a global solution for memoizing. Any ideas?

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  • Dynamic memory managment under Linux

    - by petersohn
    I know that under Windows, there are API functions like global_alloc() and such, which allocate memory, and return a handle, then this handle can be locked and a pointer returned, then unlocked again. When unlocked, the system can move this piece of memory around when it runs low on space, optimising memory usage. My question is that is there something similar under Linux, and if not, how does Linux optimize its memory usage?

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  • How to tweak the performance of Bit blit on Barco monitors?

    - by krishna
    Hi, The performance of bit blit on Small monitor(16 bpp,60Hz,1280X1024 resolution) it gives 0.9909ms. The performance of big monitors(8bpp,60hz,2048X5260) it gives 52.315ms . I use SRCCOPY to do the bit blit operation.how we can optimize the performance of bit blit on big monitor? Please share your thoughts. Thanks kk

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  • What was the most refreshingly honest non-technical comment you saw in the code?

    - by DVK
    OK, so we all saw the lists of "funny" or "bad" comments. However, today, when maintaining an old stored proc, I stumbled upon a comment which I couldn't classify other than "refreshingly brutally honest", left by a previous maintainer around a really freakish (both performance and readability-wise) page-long query: -- Feel free to optimize this if you can understand what it means So, in the first (and hopefully only) poll type question in my history of Stack Overflow, I'd like to hear some other "refreshingly brutally honest" code comments you encountered or written.

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  • ASP.NET MVC Route based on Web Browser/Device (e.g. iPhone)

    - by Alex
    Is it possible, from within ASP.NET MVC, to route to different controllers or actions based on the accessing device/browser? I'm thinking of setting up alternative actions and views for some parts of my website in case it is accessed from the iPhone, to optimize display and functionality of it. I don't want to create a completely separate project for the iPhone though as the majority of the site is fine on any device. Any idea on how to do this?

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  • What is the display list in Flash 10? Array? Linked list?

    - by Typeoneerror
    I'm working on a game that has many elements on stage, so I'm looking to optimize my loops. I know that Vector is faster than looping an array, but I'm also in some cases using: while (i < numChildren) getChildAt(i) ...to update sprites. My question is when I use getChildAt, is that accessing an Array or Vector or linked list or other? Should I instead store references to my objects in a Vector and loop through that instead?

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