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  • PHP Object Creation and Memory Usage

    - by JohnO
    A basic dummy class: class foo { var $bar = 0; function foo() {} function boo() {} } echo memory_get_usage(); echo "\n"; $foo = new foo(); echo memory_get_usage(); echo "\n"; unset($foo); echo memory_get_usage(); echo "\n"; $foo = null; echo memory_get_usage(); echo "\n"; Outputs: $ php test.php 353672 353792 353792 353792 Now, I know that PHP docs say that memory won't be freed until it is needed (hitting the ceiling). However, I wrote this up as a small test, because I've got a much longer task, using a much bigger object, with many instances of that object. And the memory just climbs, eventually running out and stopping execution. Even though these large objects do take up memory, since I destroy them after I'm done with each one (serially), it should not run out of memory (unless a single object exhausts the entire space for memory, which is not the case). Thoughts?

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  • Increasing JRE Memory Usage in Eclipse

    - by gMcizzLe
    I read in another question that you can increase the JRE memory allowance for an app through Window - Preferences in Eclipse, but I can't seem to find anything related to heap memory allocation. Editing -xms/xmx values in eclipse.ini doesn't help since those are for Eclipse itself.

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  • An explanation of memory usage on Windows server 2003

    - by Rich
    Hi, We've been working on a bit of puzzle at work. We have an application service installed on two machines, both running Windows server 2003. These services do exactly the same thing. However once loaded, one of the services uses 200mb less than the other service. We're at a bit of a loss to what might be causing this discrepancy. I was wondering if there was some kind of server setting that would cause an application to use more memory (heap block size) or anything to explain this. If anyone has any ideas on what may be causing this, or how to find out what is causing this I'd be very grateful. Cheers Rich

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  • two-part dice pool mechanic

    - by bythenumbers
    I'm working on a dice mechanic/resolution system based off of the Ghost/Echo (hereafter shortened to G/E) tabletop RPG. Specifically, since G/E can be a little harsh with dealing out consequences and failure, I was hoping to soften the system and add a little more player control, as well as offer the chance for players to evolve their characters into something unique, right from creation. So, here's the mechanic: Players roll 2d12 against the two statistics for their character (each is a number from 2-11, and may be rolled above or below depending on the nature of the action attempted, rolling your stat exactly always fails). Depending on the success for that roll, they add dice to the pool rolled for a modified G/E style action. The acting player gets two dice anyhow, and I am debating offering a bonus die for each success, or a single bonus die for succeeding on both of the statistic-compared rolls. One the size of the dice pool is set, the entire pool is rolled, and the players are allowed to assign rolled dice to a goal and a danger. Assigned results are judged as follows: 1-4 means the attempted goal fails, or the danger comes true. 5-8 is a partial success at the goal, or partially avoiding the danger. 9-12 means the goal is achieved, or the danger avoided. My concerns are twofold: Firstly, that the two-stage action is too complicated, with two rolls to judge separately before anything can happen. Secondly, that the statistics involved go too far in softening the game. I've run some basic simulations, and the approximate statistics follow: 2 dice (up to) 3 dice (up to) 4 dice failure ~33% ~25% ~20% partial ~33% ~35% ~35% success ~33% ~40% ~45% I'd appreciate any advice that addresses my concerns or offers to refine my simulation (right now the first roll is statistically modeled as sign(1d12-1d12), where 0 is a success).

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  • How Should I Generate Trade Statistics For CouchDB/Rails3 Application?

    - by James
    My Problem: I am trying to developing a web application for currency traders. The application allows traders to enter or upload information about their trades and I want to calculate a wide variety of statistics based on what the user entered. Now, normally I would use a relational database for this, but I have two requirements that don't fit well with a relational database so I am attempting to use couchdb. Those two problems are: 1) Primarily, I have a companion desktop application that users will be able to work with and replicate to the site using couchdb's awesome replication feature and 2) I would like to allow users to be able to define their own custom things to track about trades and generate results based off of what they enter. The schema less nature of couch seems perfect here, but it may end up being harder than it sounds. (I already know couch requires you to define views in advance and such so I was just planning on sticking all the custom attributes in an array and then emitting the array in the view and further processing from there.) What I Am Doing: Right now I am just emitting each trade in couch keyed by each user's system and querying with the key of the system to get an array of trades per system. Simple. I am not using a reduce function currently to calculate any stats because I couldn't figure out how to get everything I need without getting a reduce overflow error. Here is an example of rows that are getting emitted from couch: {"total_rows":134,"offset":0,"rows":[ {"id":"5b1dcd47221e160d8721feee4ccc64be", "key":["80e40ba2fa43589d57ec3f1d19db41e6","2010/05/14 04:32:37 +0000"], null, "doc":{ "_id":"5b1dcd47221e160d8721feee4ccc64be", "_rev":"1-bc9fe763e2637694df47d6f5efb58e5b", "couchrest-type":"Trade", "system":"80e40ba2fa43589d57ec3f1d19db41e6", "pair":"EUR/USD", "direction":"Buy", "entry":12600, "exit":12700, "stop_loss":12500, "profit_target":12700, "status":"Closed", "slug":"101332132375", "custom_tracking": [{"name":"signal", "value":"Pin Bar"}] "updated_at":"2010/05/14 04:32:37 +0000", "created_at":"2010/05/14 04:32:37 +0000", "result":100}} ]} In my rails 3 controller I am basically just populating an array of trades such as the one above and then extracting out the relevant data into smaller arrays that I can compute my statistics on. Here is my show action for the page that I want to display the stats and all the trades: def show @trades = Trade.by_system(:startkey => [@system.id], :endkey => [@system.id, Time.now ]) @trades.each do |trade| if trade.result > 0 @winning_trades << trade.result elsif trade.result < 0 @losing_trades << trade.result else @breakeven_trades << trade.result end if trade.direction == "Buy" @long_trades << trade.result else @short_trades << trade.result end if trade["custom_tracking"] != nil @custom_tracking << {"result" => trade.result, "variables" => trade["custom_tracking"]} end end end I am omitting some other stuff that is going on, but that is the gist of what I am doing. Then I am calculating stuff in the view layer to produce some results: <% winning_long_trades = @long_trades.reject {|trade| trade <= 0 } %> <% winning_short_trades = @short_trades.reject {|trade| trade <= 0 } %> <ul> <li>Total Trades: <%= @trades.count %></li> <li>Winners: <%= @winning_trades.size %></li> <li>Biggest Winner (Pips): <%= @winning_trades.max %></li> <li>Average Win(Pips): <%= @winning_trades.sum/@winning_trades.size %></li> <li>Losers: <%= @losing_trades.size %></li> <li>Biggest Loser (Pips): <%= @losing_trades.min %></li> <li>Average Loss(Pips): <%= @losing_trades.sum/@losing_trades.size %></li> <li>Breakeven Trades: <%= @breakeven_trades.size %></li> <li>Long Trades: <%= @long_trades.size %></li> <li>Winning Long Trades: <%= winning_long_trades.size %></li> <li>Short Trades: <%= @short_trades.size %></li> <li>Winning Short Trades: <%= winning_short_trades.size %></li> <li>Total Pips: <%= @winning_trades.sum + @losing_trades.sum %></li> <li>Win Rate (%): <%= @winning_trades.size/@trades.count.to_f * 100 %></li> </ul> This produces the following results, which aside from a few things is exactly what I want: Total Trades: 134 Winners: 70 Biggest Winner (Pips): 1488 Average Win(Pips): 440 Losers: 58 Biggest Loser (Pips): -516 Average Loss(Pips): -225 Breakeven Trades: 6 Long Trades: 125 Winning Long Trades: 67 Short Trades: 9 Winning Short Trades: 3 Total Pips: 17819 Win Rate (%): 52.23880597014925 What I Am Wondering- Finally The Actual Questions: I am starting to get really skeptical of how well this method will work when a user has 5,000 trades instead of just 134 like in this example. I anticipate most users will only have somewhere under 200 per year, but some users may have a couple thousand trades per year. Probably no more than 5,000 per year. It seems to work ok now, but the page load times are already getting a tad high for my tastes. (About 800ms to generate the page according to rails logs with about a 250ms of that spent in the view layer.) I will end up caching this page I am sure, but I still need the regenerate the page each time a trade is updated and I can't afford to have this be too slow. Sooo..... Is doing something similar here possible with a straight couchdb reduce function? I am assuming handing this off to couch would possibly help with larger data sets. I couldn't figure out how, but I suppose that doesn't mean it isn't possible. If possible, any hints will be helpful. Could I use a list function if a reduce was not available due to reduce constraints? Are couchdb list functions suitable for this type of calculations? Anyone have any idea of whether or not list functions perform well? Any hints what one would look like for the type of calculations I am trying to achieve? I thought about other options such as running the calculations at the time each trade was saved or nightly if I had to and saving the results to a statistics doc that I could then query so that all the processing was done ahead of time. I would like this to be the last resort because then I can't really filter out trades by time periods dynamically like I would really like to. (I want to have a slider that a user can slide to only show trades from that time period using the startkey and endkey in couchdb if I can.) If I should continue running the calculations inside the rails app at the time of the page view, what can I do to improve my current implementation. I am new to rails, couch and programming in general. I am sure that I could be doing something better here. Do I need to create an array for each stat or is there a better way to do that. I guess I just would really like some advice on how to tackle this problem. I want to keep the page generation time minimal since I anticipate these being some of the highest trafficked pages. My gut is that I will need to offload the statistics calculation to either couch or run the stats in advance of when they are called, but I am not sure. Lastly: Like I mentioned above, one of the primary reasons for using couch is to allow users to define their own things to track per trade. Getting the data into couch is no problem, but how would I be able to take the custom_tracking array and find how many winning trades for each named tracking attribute. If anyone can give me any hints to the possibility of doing this that would be great. Thanks a bunch. Would really appreciate any help. Willing to fork out some $$$ if someone wants to take on the problem for me. (Don't know if that is allowed on stack overflow or not.)

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  • Root cause for high CPU usage; which measurement to trust more: Windows Task Manager or Process Explorer?

    - by p.campbell
    Consider this Windows 8.1 machine (in-place upgrade from Windows 8) with differing reports on its CPU usage. The machine is idle, and has been for 3 days. There are no CPU intensive tasks running currently nor over the 3 day idle period. Windows Task Manager is reporting CPU usage constantly at an incredibly high value (and increasing over time!) at around 75%. Process Explorer from SysInternals reports that the CPU usage is much different at around 42% How does Process Explorer report 42.14% usage, but its columns report Idle at 57%, with the sum of the other processes not even approaching 10%? Which of these two values should I trust more, and why should it be trusted over the other measurement? How can I actually determine which process is causing Task Manager to report its values? These Proc Exp metrics were taken with Administrator privileges, and with option 'Show Details for All Processes' Click for larger view:

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  • How do I create statistics to make ‘small’ objects appear ‘large’ to the Optmizer?

    - by Maria Colgan
    I recently spoke with a customer who has a development environment that is a tiny fraction of the size of their production environment. His team has been tasked with identifying problem SQL statements in this development environment before new code is released into production. The problem is the objects in the development environment are so small, the execution plans selected in the development environment rarely reflects what actually happens in production. To ensure the development environment accurately reflects production, in the eyes of the Optimizer, the statistics used in the development environment must be the same as the statistics used in production. This can be achieved by exporting the statistics from production and import them into the development environment. Even though the underlying objects are a fraction of the size of production, the Optimizer will see them as the same size and treat them the same way as it would in production. Below are the necessary steps to achieve this in their environment. I am using the SH sample schema as the application schema who's statistics we want to move from production to development. Step 1. Create a staging table, in the production environment, where the statistics can be stored Step 2. Export the statistics for the application schema, from the data dictionary in production, into the staging table Step 3. Create an Oracle directory on the production system where the export of the staging table will reside and grant the SH user the necessary privileges on it. Step 4. Export the staging table from production using data pump export Step 5. Copy the dump file containing the stating table from production to development Step 6. Create an Oracle directory on the development system where the export of the staging table resides and grant the SH user the necessary privileges on it.  Step 7. Import the staging table into the development environment using data pump import Step 8. Import the statistics from the staging table into the dictionary in the development environment. You can get a copy of the script I used to generate this post here. +Maria Colgan

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  • What are some good ways to store performance statistics in a database for querying later?

    - by Nathan
    Goal: Store arbitrary performance statistics of stuff that you care about (how many customers are currently logged on, how many widgets are being processed, etc.) in a database so that you can understand what how your servers are doing over time. Assumptions: A database is already available, and you already know how to gather the information you want and are capable of putting it in the database however you like. Some Ideal Attributes of a Solution Causes no noticeable performance hit on the server being monitored Has a very high precision of measurement Does not store useless or redundant information Is easy to query (lends itself to gathering/displaying useful information) Lends itself to being graphed easily Is accurate Is elegant Primary Questions 1) What is a good design/method/scheme for triggering the storing of statistics? 2) What is a good database design for how to actually store the data? Example answers...that are sort of vague and lame... 1) I could, once per [fixed time interval], store a row of data with all the performance measurements I care about in each column of one big flat table indexed by timestamp and/or server. 2) I could have a daemon monitoring performance stuff I care about, and add a row whenever something changes (instead of at fixed time intervals) to a flat table as in #1. 3) I could trigger either as in #2, but I could store information about each aspect of performance that I'm measuring in separate tables, opening up the possibility of adding tons of rows for often-changing items, and few rows for seldom-changing items. Etc. In the end, I will implement something, even if it's some super-braindead approach I make up myself, but I'm betting there are some really smart people out there willing to share their experiences and bright ideas!

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  • Windows 7 x64: 3900mb of 4gb RAM usage, even when (almost) nothing running.

    - by user34630
    As the title suggests, I am having a problem with memory usage. I have had my computer (Vaio AW11Z/B laptop) for over a year now, and it was running perfectly until I guess a day or two ago. Now programs randomly crash, the mouse lags around the screen and the memory usage is going through the roof for no apparent reason. I am having exactly the same problem as this guy: http://social.answers.microsoft.com/Forums/en-US/w7performance/thread/1f716693-0a46-473e-9dc0-8c2b1a058443/. I think he explains it better. Anyone had a similar issue? What's going on? I don't think it's a virus/adware thing. Thanks very much for any help.

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  • Why does the CPU usage reach 100% when laptop is plugged in?

    - by Mayank
    I have an HP Elitebook 8440p with Windows 7 Ultimate, i7 Processor and 8 GB RAM. For the last couple of days, when I plug-in my laptop for charging, the CPU usage shoots up to 100% and remains there for around 15 minutes. No offending process shows up in Task Manager/Process Explorer but the laptop is practically unusable for that time. The CPU usage becomes normal when I remove the power cord but shoots up again when plugged back. This is happening with different power adapters/wall sockets so it might not be a faulty adapter issue. Why is this happening and any pointer to resolve this issue?

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  • Why does my CPU Usage reach 100% too often?

    - by deathlock
    I'm using a dual-core processor and often see my CPU usage reaches 100%. I realize this may happen if I'm running too much applications, so when I know the computer starts to run slowly, I start to close my applications. I usually run 4-5 applications simultaneously. Usually those are: web browser (Google Chrome), Adobe Photoshop, Notepad++, XAMPP, and Windows Task Manager. Usually I close tabs in my Chrome first, because I often browse the net with about 20 tabs/4 windows open, so I presume that would take much memory (bad habit, I know). But even after closing Chrome's tabs or closing other applications, my CPU Usage often stays at high percentage - 72% at best, 100% at worst. I check the Processes tab on Windows Task Manager and usually found the System, System Idle Process, or services.exe taking the highest CPU process (could reach 60). Why is this happening? And is there any solution? EDIT I have T2250 @ 1,73 Ghz and 2.5 GB RAM

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  • software to monitor internet usage on an XP PC? (browser + non-browser)

    - by user39316
    Hi Is there any (ideally open source) software for Windows that can be used on a PC, to monitor the usage of internet from that PC? It would need to include both browser and non-browser sources (e.g. a service that sync's calendar to gmail). So any software on your PC that uses would need to be configured to point to this local internet monitoring software/proxy. The monitoring software/proxy then would be configured to point to the company proxy server (address, port & credentials). Things that come to mind that might be close but not really focused on solving this might be perhaps: Charles Proxy, Fiddler 2, SQUID? The idea would be it could give you a daily/weekly/monthly report of internet upload/download usage on a per program/process/service basis for the PC it is being run on. thanks

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  • Determine Location of Inode Usage

    - by Dave Forgac
    I recently installed Munin on a development web server to keep track of system usage. I've noticted that the system's inode usage is climbing by about 7-8% per day even though the disk usage has barely increased at all. I'm guessing something is writing a ton of tiny files but I can't find what / where. I know how to find disk space usage but I can't seem to find a way to summarize inode usage. Is there a good way to determine inode usage by directory so I can locate the source of the usage?

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  • May we have Ruby and Rails performance statistics? We're persuading the business to use Rails!

    - by thekingoftruth
    We're convincing our Products officer that we want to use JRuby on Rails, and we're having a hard time coming up with some statistics which show that: Coding time is less using Rails vs. say Struts or Zend Framework or what have you. Ruby (and JRuby in particular) performance isn't horrible (anymore). Rails performance isn't bad either. If you can get us some good stats quickly, we might have a chance!

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  • SQL SERVER – DMV – sys.dm_exec_query_optimizer_info – Statistics of Optimizer

    - by pinaldave
    Incredibly, SQL Server has so much information to share with us. Every single day, I am amazed with this SQL Server technology. Sometimes I find several interesting information by just querying few of the DMV. And when I present this info in front of my client during performance tuning consultancy, they are surprised with my findings. Today, I am going to share one of the hidden gems of DMV with you, the one which I frequently use to understand what’s going on under the hood of SQL Server. SQL Server keeps the record of most of the operations of the Query Optimizer. We can learn many interesting details about the optimizer which can be utilized to improve the performance of server. SELECT * FROM sys.dm_exec_query_optimizer_info WHERE counter IN ('optimizations', 'elapsed time','final cost', 'insert stmt','delete stmt','update stmt', 'merge stmt','contains subquery','tables', 'hints','order hint','join hint', 'view reference','remote query','maximum DOP', 'maximum recursion level','indexed views loaded', 'indexed views matched','indexed views used', 'indexed views updated','dynamic cursor request', 'fast forward cursor request') All occurrence values are cumulative and are set to 0 at system restart. All values for value fields are set to NULL at system restart. I have removed a few of the internal counters from the script above, and kept only documented details. Let us check the result of the above query. As you can see, there is so much vital information that is revealed in above query. I can easily say so many things about how many times Optimizer was triggered and what the average time taken by it to optimize my queries was. Additionally, I can also determine how many times update, insert or delete statements were optimized. I was able to quickly figure out that my client was overusing the Query Hints using this dynamic management view. If you have been reading my blog, I am sure you are aware of my series related to SQL Server Views SQL SERVER – The Limitations of the Views – Eleven and more…. With this, I can take a quick look and figure out how many times Views were used in various solutions within the query. Moreover, you can easily know what fraction of the optimizations has been involved in tuning server. For example, the following query would tell me, in total optimizations, what the fraction of time View was “reference“. As this View also includes system Views and DMVs, the number is a bit higher on my machine. SELECT (SELECT CAST (occurrence AS FLOAT) FROM sys.dm_exec_query_optimizer_info WHERE counter = 'view reference') / (SELECT CAST (occurrence AS FLOAT) FROM sys.dm_exec_query_optimizer_info WHERE counter = 'optimizations') AS ViewReferencedFraction Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • Nagios Statistics for Notifications/Alerts

    - by bread555
    We have had our Nagios installation up for a year, and we are now required to give some statistics on how much it has worked and what it has done in the environment. As such, I was wondering if anyone knows if Nagios also holds data records on how many alerts and notifications it sends out? I am not necessarily looking for reports on what it alerted on, but just some raw statistics for a powerpoint. TL:DR Can I extract how many notifications and alerts Nagios has produced in it's existence or between certain dates?

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  • SQL SERVER – Finding Latch Statistics

    - by pinaldave
    Last month I wrote SQL Server Wait Types and Queues series SQL SERVER – Summary of Month – Wait Type – Day 28 of 28. I had great fun to write the series. I learned a lot and I felt this has created some deep interest on the subject with others. I recently received very interesting question from one of the reader after reading SQL SERVER – PAGELATCH_DT, PAGELATCH_EX, PAGELATCH_KP, PAGELATCH_SH, PAGELATCH_UP – Wait Type – Day 12 of 28 that if they can know what kind of latches are waiting and what is their count. Absolutely! SQL Server team has already provided DMV which does the same. -- Latch SELECT * FROM sys.dm_os_latch_stats ORDER BY wait_time_ms DESC Above script will return you details about how many latches were waiting for how long. After going over this script I feel like going deep into the subject further. I will post a blog post on the subject soon. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER Generate Report for Index Physical Statistics SSMS

    Few days ago, I wrote about SQL SERVER Out of the Box Activity and Performance Reports from SSSMS (Link). A user asked me a question regarding if we can use similar reports to get the detail about Indexes. Yes, it is possible to do the same. There are similar type of reports are [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Humble Indie Bundle Shows GNU/Linux Gaming Statistics

    <b>Inatux:</b> "Games have become the topic of late. Osmos developers wonder whether there is enough market share for GNU+Linux game ports to be worth the cost, but they aren't the only ones. It's been discussed time and time again, is a GNU+Linux -- or really any Unix or Unix-like -- port worth it?"

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  • Statistics for and Details About Open Source Swing Projects

    - by user592704
    I'm looking for process-relative information on open-source Swing projects: how the task was described how many developers were involved how much time the solution was taken etc. Are there any open source (online) chronicles in that direction? I strongly prefer projects that include the authors' names. I watched this project and it seems fine but still I couldn't find any information concerning some current project task(s), its developers group, some chronicles (tips, milestones, feedbacks etc) For example if I see this swing component I'd like to know the above information.

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  • Browser Statistics for Geekswithblogs.net

    - by Jeff Julian
    I love Google Analytics!  It helps me so much during my day-to-day maintenance of Geekswithblogs.net and our other sites.  I can see so much data about our visitors and come up with new ways of delivering more content to our readers so they can really get the most out of our community.  Browsers and Browser Versions is a big indicator for me to help decide what we can support and what we need to be testing with.  The clear browsers of choice right now are Chrome, IE, and Firefox taking up 94.1%.  The next browser is Safari at 2.71%.  What this really brings to my attention besides I better test well with Chrome, Firefox, and IE is that we are definitely missing an opportunity with Mobile devices.  We really need to kick up the heat when it comes to a mobile presence with Geekswithblogs.net as a community and the blogs that are on this site.  We need easy discovery of new content and easy tracking of what I like.  I am definitely on mission to make this happen and it will be a phased approach, but I want to see these numbers changes since most of us have 2 or 3 mobile devices we use for Social activities, but tools are lacking for interacting with technical data besides RSS readers. Technorati Tags: Mobile,Geekswithblogs.net,Browsers

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