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  • Is there a constraint-based scheduling/calendar application?

    - by wonsungi
    Is there a constraint-based scheduling/calendar application? This application would be used to coordinate multiple people's schedules. Two basic use cases: Multiple people need to schedule a time to meet together. Everyone is busy at different days/times. Each person enters blocks of days/times they cannot meet, and the application suggests the best times to meet given a desired time range. Multiple people need to use some common resources for a specific length of time (over some time span like a week), but the exact date/time does not matter. These people enter the resources and time needed, and the application suggests the best way to share these resources. This use case still accounts for people's blocks of busy time. I imagine this program would be graphical, but other interfaces would be acceptable. Also preferable if web-based/works on both PC's and Mac's, but PC-only/Mac-only solutions are acceptable.

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  • Is there any performance overhead in using RaiseEvent in .net

    - by Sachin
    Is there any performance overhead in using RaiseEvent in .net I have a code which is similar to following. Dim _startTick As Integer = Environment.TickCount 'Do some Task' Dim duration As Integer = Environment.TickCount - _startTick Logger.Debug("Time taken : {0}", duration) RaiseEvent Datareceived() Above code returns Time Taken :1200 Time Taken :1400 But if remove RaiseEvent it returns Time Taken :110 Time Taken :121 I am surprised that the raiseevent is called after the logging of time taken. How it effects total time taken. I am working on Compact framework. Update: In the Eventhandler I had given a MsgBox. When I removed the message box it is now showing time taken as 110,121,etc i.e. less that 500 milliseconds. If I put the Msgbox back in eventhandler it shows 1200,1400,etc i.e. more that a second. More surprised now.(Event is raised after the logging part)

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  • How to add values to a JSON object?

    - by Damiano
    Hello everybody, I have created an array with: var msg = new Array(); then, I have a function that add values to this array, this function is: function add(time, user, text){ var message = [time, user, text]; if (msg.length >= 50) msg.shift(); msg.push(message); } As you can see, if the array has 50 or more elements I remove the first with .shift(). Then I add an array as element. Ok, the code works perfectly, but now I have to loop the msg array to create a JSON obj. The JSON object should has this format: var obj = [ {'time' : time, 'user' : user, 'text' : text}, {'time' : time, 'user' : user, 'text' : text}, {'time' : time, 'user' : user, 'text' : text} ] I mean...i have to loop msg array and then store all the values inside the JSON object. I do not know how to "concatenate" the element of the array inside json obj. Could you help me? Thank you very much in advance!

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  • PHP5 getrusage() returning incorrect information?

    - by Andrew
    I'm trying to determine CPU usage of my PHP scripts. I just found this article which details how to find system and user CPU usage time (Section 4). However, when I tried out the examples, I received completely different results. The first example: sleep(3); $data = getrusage(); echo "User time: ". ($data['ru_utime.tv_sec'] + $data['ru_utime.tv_usec'] / 1000000); echo "System time: ". ($data['ru_stime.tv_sec'] + $data['ru_stime.tv_usec'] / 1000000); Results in: User time: 29.53 System time: 2.71 Example 2: for($i=0;$i<10000000;$i++) { } // Same echo statements Results: User time: 16.69 System time: 2.1 Example 3: $start = microtime(true); while(microtime(true) - $start < 3) { } // Same echo statements Results: User time: 34.94 System time: 3.14 Obviously, none of the information is correct except maybe the system time in the third example. So what am I doing wrong? I'd really like to be able to use this information, but it needs to be reliable. I'm using Ubuntu Server 8.04 LTS (32-bit) and this is the output of php -v: PHP 5.2.4-2ubuntu5.10 with Suhosin-Patch 0.9.6.2 (cli) (built: Jan 6 2010 22:01:14) Copyright (c) 1997-2007 The PHP Group Zend Engine v2.2.0, Copyright (c) 1998-2007 Zend Technologies

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  • Balanced Search Tree Query, Asymtotic Analysis..

    - by AGeek
    Hi, The situation is as follows:- We have n number and we have print them in sorted order. We have access to balanced dictionary data structure, which supports the operations serach, insert, delete, minimum, maximum each in O(log n) time. We want to retrieve the numbers in sorted order in O(n log n) time using only the insert and in-order traversal. The answer to this is:- Sort() initialize(t) while(not EOF) read(x) insert(x,t); Traverse(t); Now the query is if we read the elements in time "n" and then traverse the elements in "log n"(in-order traversal) time,, then the total time for this algorithm (n+logn)time, according to me.. Please explain the follow up of this algorithm for the time calculation.. How it will sort the list in O(nlogn) time?? Thanks.

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  • Perl kill(0, $pid) in Windows always returning 1

    - by banshee_walk_sly
    I'm trying to make a Perl script that will run a set of other programs in Windows. I need to be able to capture the stdout, stderr, and exit code of the process, and I need to be able to see if a process exceeds it's allotted execution time. Right now, the pertinent part of my code looks like: ... $pid = open3($wtr, $stdout, $stderr, $command); if($time < 0){ waitpid($pid, 0); $return = $? >> 8; $death_sig = $? & 127; $core_dump = $? & 128; } else{ # Do timeout stuff, currently not working as planned print "pid: $pid\n"; my $elapsed = 0; #THIS LOOP ONLY TERMINATES WHEN $time > $elapsed ...? while(kill 0, $pid and $time > $elapsed){ Time::HiRes::usleep(1000); # sleep for milliseconds $elapsed += 1; $return = $? >> 8; $death_sig = $? & 127; $core_dump = $? & 128; } if($elapsed >= $time){ $status = "FAIL"; print $log "TIME LIMIT EXCEEDED\n"; } } #these lines are needed to grab the stdout and stderr in arrays so # I may reuse them in multiple logs if(fileno $stdout){ @stdout = <$stdout>; } if(fileno $stderr){ @stderr = <$stderr>; } ... Everything is working correctly if $time = -1 (no timeout is needed), but the system thinks that kill 0, $pid is always 1. This makes my loop run for the entirety of the time allowed. Some extra details just for clarity: This is being run on Windows. I know my process does terminate because I have get all the expected output. Perl version: This is perl, v5.10.1 built for MSWin32-x86-multi-thread (with 2 registered patches, see perl -V for more detail) Copyright 1987-2009, Larry Wall Binary build 1007 [291969] provided by ActiveState http://www.ActiveState.com Built Jan 26 2010 23:15:11 I appreciate your help :D For that future person who may have a similar issue I got the code to work, here is the modified code sections: $pid = open3($wtr, $stdout, $stderr, $command); close($wtr); if($time < 0){ waitpid($pid, 0); } else{ print "pid: $pid\n"; my $elapsed = 0; while(waitpid($pid, WNOHANG) <= 0 and $time > $elapsed){ Time::HiRes::usleep(1000); # sleep for milliseconds $elapsed += 1; } if($elapsed >= $time){ $status = "FAIL"; print $log "TIME LIMIT EXCEEDED\n"; } } $return = $? >> 8; $death_sig = $? & 127; $core_dump = $? & 128; if(fileno $stdout){ @stdout = <$stdout>; } if(fileno $stderr){ @stderr = <$stderr>; } close($stdout); close($stderr);

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  • SQL SERVER – Subquery or Join – Various Options – SQL Server Engine knows the Best

    - by pinaldave
    This is followup post of my earlier article SQL SERVER – Convert IN to EXISTS – Performance Talk, after reading all the comments I have received I felt that I could write more on the same subject to clear few things out. First let us run following four queries, all of them are giving exactly same resultset. USE AdventureWorks GO -- use of = SELECT * FROM HumanResources.Employee E WHERE E.EmployeeID = ( SELECT EA.EmployeeID FROM HumanResources.EmployeeAddress EA WHERE EA.EmployeeID = E.EmployeeID) GO -- use of in SELECT * FROM HumanResources.Employee E WHERE E.EmployeeID IN ( SELECT EA.EmployeeID FROM HumanResources.EmployeeAddress EA WHERE EA.EmployeeID = E.EmployeeID) GO -- use of exists SELECT * FROM HumanResources.Employee E WHERE EXISTS ( SELECT EA.EmployeeID FROM HumanResources.EmployeeAddress EA WHERE EA.EmployeeID = E.EmployeeID) GO -- Use of Join SELECT * FROM HumanResources.Employee E INNER JOIN HumanResources.EmployeeAddress EA ON E.EmployeeID = EA.EmployeeID GO Let us compare the execution plan of the queries listed above. Click on image to see larger image. It is quite clear from the execution plan that in case of IN, EXISTS and JOIN SQL Server Engines is smart enough to figure out what is the best optimal plan of Merge Join for the same query and execute the same. However, in the case of use of Equal (=) Operator, SQL Server is forced to use Nested Loop and test each result of the inner query and compare to outer query, leading to cut the performance. Please note that here I no mean suggesting that Nested Loop is bad or Merge Join is better. This can very well vary on your machine and amount of resources available on your computer. When I see Equal (=) operator used in query like above, I usually recommend to see if user can use IN or EXISTS or JOIN. As I said, this can very much vary on different system. What is your take in above query? I believe SQL Server Engines is usually pretty smart to figure out what is ideal execution plan and use it. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Joins, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • New SSIS tool on Codeplex – SSIS Log Analyzer

    I stumbled across a new SSIS tool on Codeplex today, the SSIS Log Analyzer which was only released a few days ago. Whilst it is a beta release and currently only supports 2005 (2008 is promised) it looks quite interesting. It seems to be a fancy log viewer, but with some clever features and a nice looking front-end. I’ve only read the documentation so far, but it has graphs and a debug view that shows your package with the colour animations similar to when debugging in BIDS, and everyone knows, the way the pretty colours and numbers change is the best bit! I’ll quote some of the features for you here and then let you make your own mind up, is it useful in the real world? Option to analyze the logs manually by applying row and column filters over the log data or by using queries to specify more complex criterions. Automated Performance Analysis which provides a quick graphical look on which tasks spent most time during package execution. Rerun (debug) the entire sequence of events which happened during package execution showing the flow of control in graphical form, changes in runtime values for each task like execution duration etc. Support for Auto Analyzers to automatically find out issues and provide suggestions for problems which can be figured out with the help of SSIS logs and/or package. Option to analyze just log file or log and package together. Provides a lightweight environment to have a quick look at the package. Opening it in BIDS takes some time as being an authoring environment it does all sorts of validations resulting in some delay. See http://ssisloganalyzer.codeplex.com/  for more details.

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  • New SSIS tool on Codeplex – SSIS Log Analyzer

    I stumbled across a new SSIS tool on Codeplex today, the SSIS Log Analyzer which was only released a few days ago. Whilst it is a beta release and currently only supports 2005 (2008 is promised) it looks quite interesting. It seems to be a fancy log viewer, but with some clever features and a nice looking front-end. I’ve only read the documentation so far, but it has graphs and a debug view that shows your package with the colour animations similar to when debugging in BIDS, and everyone knows, the way the pretty colours and numbers change is the best bit! I’ll quote some of the features for you here and then let you make your own mind up, is it useful in the real world? Option to analyze the logs manually by applying row and column filters over the log data or by using queries to specify more complex criterions. Automated Performance Analysis which provides a quick graphical look on which tasks spent most time during package execution. Rerun (debug) the entire sequence of events which happened during package execution showing the flow of control in graphical form, changes in runtime values for each task like execution duration etc. Support for Auto Analyzers to automatically find out issues and provide suggestions for problems which can be figured out with the help of SSIS logs and/or package. Option to analyze just log file or log and package together. Provides a lightweight environment to have a quick look at the package. Opening it in BIDS takes some time as being an authoring environment it does all sorts of validations resulting in some delay. See http://ssisloganalyzer.codeplex.com/  for more details.

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  • One More Solar Eclipse Hitting The Earth

    - by Suganya
    After the partial Solar eclipse that occurred on 01 July 2011, there is one another partial solar eclipse hitting the earth on 25 November 2011. This is the fourth and the final solar eclipse that is going to happen during this year. This eclipse is highly visible from the southern hemisphere, which means it can be witnessed from Southern South Africa, Antarctica , Tasmania and Many regions of New Zealand. The eclipse touches a greatest magnitude of 0.905 at 06:20:17 am Universal Time. This eclipse is the 53rd eclipse and belongs to Saros123 series. The details about the time and place from where this eclipse can be addressed are given below. All time mentioned here are local time of that location. S.No Place Eclipse Start Time Eclipse End Time Maximum Eclipse 1 Cape Town, South Africa 6:28:07 7:18:08 6:52:42 2 Port Elizabeth, SOUTH AFRICA 6:38:16 7:07:49 6:52:56 3 Christchurch, NEW ZEALAND 19:07:01 19:42 19:42 4 Wellington, NEW ZEALAND 19:10:22 19:26 19:26 5 Dunedin, NEW ZEALAND 19:03:13 19:58 19:40:40 This is the largest partial eclipse that is going to hit the earth this year and while at the maximum eclipse time, the lunar shadow will pass 330 kilometers above the earth’s surface near the coast of Antarctica. Source : NASA CC Image Credit : Joerg Weingrill This article titled,One More Solar Eclipse Hitting The Earth, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

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  • MySQL – Introduction to User Defined Variables

    - by Pinal Dave
    MySQL supports user defined variables to have some data that can be used later part of your query. You can save a value to a variable using a SELECT statement and later you can access its value. Unlike other RDBMSs, you do not need to declare the data type for a variable. The data type is automatically assumed when you assign a value. A value can be assigned to a variable using a SET command as shown below SET @server_type:='MySQL'; When you above command is executed, the value, MySQL is assigned to the variable called @server_type. Now you can use this variable in the later part of the code. Suppose if you want to display the value, you can use SELECT statement. SELECT @server_type; The result is MySQL. Once the value is assigned it remains for the entire session until changed by the later statements. So unlike SQL Server, you do not need to have this as part the execution code every time. (Because in SQL Server, the variables are execution scoped and dropped after the execution). You can give column name as below SELECT @server_type AS server_type; You can also SELECT statement to DECLARE and SELECT the values for a variable. SELECT @message:='Welcome to MySQL' AS MESSAGE; The result is Message -------- Welcome to MySQL You can make use of variables to effectively apply many logics. One of the useful method is to generate the row number as shown in this post MySQL – Generating Row Number for Each Row using Variable. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • SQL SERVER – Capturing Wait Types and Wait Stats Information at Interval – Wait Type – Day 5 of 28

    - by pinaldave
    Earlier, I have tried to cover some important points about wait stats in detail. Here are some points that we had covered earlier. DMV related to wait stats reset when we reset SQL Server services DMV related to wait stats reset when we manually reset the wait types However, at times, there is a need of making this data persistent so that we can take a look at them later on. Sometimes, performance tuning experts do some modifications to the server and try to measure the wait stats at that point of time and after some duration. I use the following method to measure the wait stats over the time. -- Create Table CREATE TABLE [MyWaitStatTable]( [wait_type] [nvarchar](60) NOT NULL, [waiting_tasks_count] [bigint] NOT NULL, [wait_time_ms] [bigint] NOT NULL, [max_wait_time_ms] [bigint] NOT NULL, [signal_wait_time_ms] [bigint] NOT NULL, [CurrentDateTime] DATETIME NOT NULL, [Flag] INT ) GO -- Populate Table at Time 1 INSERT INTO MyWaitStatTable ([wait_type],[waiting_tasks_count],[wait_time_ms],[max_wait_time_ms],[signal_wait_time_ms], [CurrentDateTime],[Flag]) SELECT [wait_type],[waiting_tasks_count],[wait_time_ms],[max_wait_time_ms],[signal_wait_time_ms], GETDATE(), 1 FROM sys.dm_os_wait_stats GO ----- Desired Delay (for one hour) WAITFOR DELAY '01:00:00' -- Populate Table at Time 2 INSERT INTO MyWaitStatTable ([wait_type],[waiting_tasks_count],[wait_time_ms],[max_wait_time_ms],[signal_wait_time_ms], [CurrentDateTime],[Flag]) SELECT [wait_type],[waiting_tasks_count],[wait_time_ms],[max_wait_time_ms],[signal_wait_time_ms], GETDATE(), 2 FROM sys.dm_os_wait_stats GO -- Check the difference between Time 1 and Time 2 SELECT T1.wait_type, T1.wait_time_ms Original_WaitTime, T2.wait_time_ms LaterWaitTime, (T2.wait_time_ms - T1.wait_time_ms) DiffenceWaitTime FROM MyWaitStatTable T1 INNER JOIN MyWaitStatTable T2 ON T1.wait_type = T2.wait_type WHERE T2.wait_time_ms > T1.wait_time_ms AND T1.Flag = 1 AND T2.Flag = 2 ORDER BY DiffenceWaitTime DESC GO -- Clean up DROP TABLE MyWaitStatTable GO If you notice the script, I have used an additional column called flag. I use it to find out when I have captured the wait stats and then use it in my SELECT query to SELECT wait stats related to that time group. Many times, I select more than 5 or 6 different set of wait stats and I find this method very convenient to find the difference between wait stats. In a future blog post, we will talk about specific wait stats. Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • This is the End of Business as Usual...

    - by Michael Snow
    This week, we'll be hosting our last Social Business Thought Leader Series Webcast for 2012. Our featured guest this week will be Brian Solis of Altimeter Group. As we've been going through the preparations for Brian's webcast, it became very clear that an hour's time is barely scraping the surface of the depth of Brian's insights and analysis. Accordingly, in the spirit of sharing Brian's perspective for all of our readers, we'll be featuring guest posts all this week pulled from Brian's larger collection of blog postings on his own website. If you like what you've read here this week, we highly recommend digging deeper into his tome of wisdom. Guest Post by Brian Solis, Analyst, Altimeter Group as originally featured on his site with the minor change of the video addition at the beginning of the post. This is the End of Business as Usual and the Beginning of a New Era of Relevance - Brian Solis, Principal Analyst, Altimeter Group The Times They Are A-Changin’ Come gather ’round people Wherever you roam And admit that the waters Around you have grown And accept it that soon You’ll be drenched to the bone If your time to you Is worth savin’ Then you better start swimmin’ Or you’ll sink like a stone For the times they are a-changin’. - Bob Dylan I’m sure you are wondering why I chose lyrics to open this article. If you skimmed through them, stop here for a moment. Go back through the Dylan’s words and take your time. Carefully read, and feel, what it is he’s saying and savor the moment to connect the meaning of his words to the challenges you face today. His message is as important and true today as it was when they were first written in 1964. The tide is indeed once again turning. And even though the 60s now live in the history books, right here, right now, Dylan is telling us once again that this is our time to not only sink or swim, but to do something amazing. This is your time. This is our time. But, these times are different and what comes next is difficult to grasp. How people communicate. How people learn and share. How people make decisions. Everything is different now. Think about this…you’re reading this article because it was sent to you via email. Yet more people spend their online time in social networks than they do in email. Duh. According to Nielsen, of the total time spent online 22.5% are connecting and communicating in social networks. To put that in perspective, the time spent in the likes of Facebook, Twitter, and Youtube is greater than online gaming at 9.8%, email at 7.6% and search at 4%. Imagine for a moment if you and I were connected to one another in Facebook, which just so happens to be the largest social network in the world. How big? Well, Facebook is the size today of the entire Internet in 2004. There are over 1 billion people friending, Liking, commenting, sharing, and engaging in Facebook…that’s roughly 12% of the world’s population. Twitter has over 200 million users. Ever hear of tumblr? More time is spent on this popular microblogging community than Twitter. The point is that the landscape for communication and all that’s affected by human interaction is profoundly different than how you and I learned, shared or talked to one another yesterday. This transformation is only becoming more pervasive and, it’s not going back. Survival of the Fitting But social media is just one of the channels we can use to reach people. I must be honest. I’m as much a part of tomorrow as I am of yesteryear. It’s why I spend all of my time researching the evolution of media and its impact on business and culture. Because of you, I share everything I learn in newsletters, emails, blogs, Youtube videos, and also traditional books. I’m dedicated to helping everyone not only understand, but grasp the change that’s before you. Technologies such as social, mobile, virtual, augmented, et al compel us adapt our story and value proposition and extend our reach to be part of communities we don’t realize exist. The people who will keep you in business or running tomorrow are the very people you’re not reaching today. Before you continue to read on, allow me to clarify my point of view. My inspiration for writing this is to help you augment, not necessarily replace, the programs you’re running today. We must still reach those whom matter to us in the ways they prefer to be engaged. To reach what I call the connected consumer of Geneeration-C we must too reach them in the ways they wish to be engaged. And in all of my work, how they connect, talk to one another, influence others, and make decisions are not at all like the traditional consumers of the past. Nor are they merely the kids…the Millennial. Connected consumers are representative across every age group and demographic. As you can see, use of social networks, media sharing sites, microblogs, blogs, etc. equally span across Gen Y, Gen X, and Baby Boomers. The DNA of connected customers is indiscriminant of age or any other demographic for that matter. This is more about psychographics, the linkage of people through common interests (than it is their age, gender, education, nationality or level of income. Once someone is introduced to the marvels of connectedness, the sensation becomes a contagion. It touches and affects everyone. And, that’s why this isn’t going anywhere but normalcy. Social networking isn’t just about telling people what you’re doing. Nor is it just about generic, meaningless conversation. Today’s connected consumer is incredibly influential. They’re connected to hundreds and even thousands of other like-minded people. What they experiences, what they support, it’s shared throughout these networks and as information travels, it shapes and steers impressions, decisions, and experiences of others. For example, if we revisit the Nielsen research, we get an idea of just how big this is becoming. 75% spend heavily on music. How does that translate to the arts? I’d imagine the number is equally impressive. If 53% follow their favorite brand or organization, imagine what’s possible. Just like this email list that connects us, connections in social networks are powerful. The difference is however, that people spend more time in social networks than they do in email. Everything begins with an understanding of the “5 W’s and H.E.” – Who, What, When, Where, How, and to What Extent? The data that comes back tells you which networks are important to the people you’re trying to reach, how they connect, what they share, what they value, and how to connect with them. From there, your next steps are to create a community strategy that extends your mission, vision, and value and it align it with the interests, behavior, and values of those you wish to reach and galvanize. To help, I’ve prepared an action list for you, otherwise known as the 10 Steps Toward New Relevance: 1. Answer why you should engage in social networks and why anyone would want to engage with you 2. Observe what brings them together and define how you can add value to the conversation 3. Identify the influential voices that matter to your world, recognize what’s important to them, and find a way to start a dialogue that can foster a meaningful and mutually beneficial relationship 4. Study the best practices of not just organizations like yours, but also those who are successfully reaching the type of people you’re trying to reach – it’s benching marking against competitors and benchmarking against undefined opportunities 5. Translate all you’ve learned into a convincing presentation written to demonstrate tangible opportunity to your executive board, make the case through numbers, trends, data, insights – understanding they have no idea what’s going on out there and you are both the scout and the navigator (start with a recommended pilot so everyone can learn together) 6. Listen to what they’re saying and develop a process to learn from activity and adapt to interests and steer engagement based on insights 7. Recognize how they use social media and innovate based on what you observe to captivate their attention 8. Align your objectives with their objectives. If you’re unsure of what they’re looking for…ask 9. Invest in the development of content, engagement 10. Build a community, invest in values, spark meaningful dialogue, and offer tangible value…the kind of value they can’t get anywhere else. Take advantage of the medium and the opportunity! The reality is that we live and compete in a perpetual era of Digital Darwinism, the evolution of consumer behavior when society and technology evolve faster than our ability to adapt. This is why it’s our time to alter our course. We must connect with those who are defining the future of engagement, commerce, business, and how the arts are appreciated and supported. Even though it is the end of business as usual, it is the beginning of a new age of opportunity. The consumer revolution is already underway, and the question is: How do you better understand the role you play in this production as a connected or social consumer as well as business professional? Again, this is your time to define a new era of engagement and relevance. Originally written for The National Arts Marketing Project Connect with Brian via: Twitter | LinkedIn | Facebook | Google+ --- Note from Michael: If you really like this post above - check out Brian's TEDTalk and his thought process for preparing it in this post: 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} http://www.briansolis.com/2012/10/tedtalk-reinventing-consumer-capitalism-screw-business-as-usual/

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  • Operator of the week - Assert

    - by Fabiano Amorim
    Well my friends, I was wondering how to help you in a practical way to understand execution plans. So I think I'll talk about the Showplan Operators. Showplan Operators are used by the Query Optimizer (QO) to build the query plan in order to perform a specified operation. A query plan will consist of many physical operators. The Query Optimizer uses a simple language that represents each physical operation by an operator, and each operator is represented in the graphical execution plan by an icon. I'll try to talk about one operator every week, but so as to avoid having to continue to write about these operators for years, I'll mention only of those that are more common: The first being the Assert. The Assert is used to verify a certain condition, it validates a Constraint on every row to ensure that the condition was met. If, for example, our DDL includes a check constraint which specifies only two valid values for a column, the Assert will, for every row, validate the value passed to the column to ensure that input is consistent with the check constraint. Assert  and Check Constraints: Let's see where the SQL Server uses that information in practice. Take the following T-SQL: IF OBJECT_ID('Tab1') IS NOT NULL   DROP TABLE Tab1 GO CREATE TABLE Tab1(ID Integer, Gender CHAR(1))  GO  ALTER TABLE TAB1 ADD CONSTRAINT ck_Gender_M_F CHECK(Gender IN('M','F'))  GO INSERT INTO Tab1(ID, Gender) VALUES(1,'X') GO To the command above the SQL Server has generated the following execution plan: As we can see, the execution plan uses the Assert operator to check that the inserted value doesn't violate the Check Constraint. In this specific case, the Assert applies the rule, 'if the value is different to "F" and different to "M" than return 0 otherwise returns NULL'. The Assert operator is programmed to show an error if the returned value is not NULL; in other words, the returned value is not a "M" or "F". Assert checking Foreign Keys Now let's take a look at an example where the Assert is used to validate a foreign key constraint. Suppose we have this  query: ALTER TABLE Tab1 ADD ID_Genders INT GO  IF OBJECT_ID('Tab2') IS NOT NULL   DROP TABLE Tab2 GO CREATE TABLE Tab2(ID Integer PRIMARY KEY, Gender CHAR(1))  GO  INSERT INTO Tab2(ID, Gender) VALUES(1, 'F') INSERT INTO Tab2(ID, Gender) VALUES(2, 'M') INSERT INTO Tab2(ID, Gender) VALUES(3, 'N') GO  ALTER TABLE Tab1 ADD CONSTRAINT fk_Tab2 FOREIGN KEY (ID_Genders) REFERENCES Tab2(ID) GO  INSERT INTO Tab1(ID, ID_Genders, Gender) VALUES(1, 4, 'X') Let's look at the text execution plan to see what these Assert operators were doing. To see the text execution plan just execute SET SHOWPLAN_TEXT ON before run the insert command. |--Assert(WHERE:(CASE WHEN NOT [Pass1008] AND [Expr1007] IS NULL THEN (0) ELSE NULL END))      |--Nested Loops(Left Semi Join, PASSTHRU:([Tab1].[ID_Genders] IS NULL), OUTER REFERENCES:([Tab1].[ID_Genders]), DEFINE:([Expr1007] = [PROBE VALUE]))           |--Assert(WHERE:(CASE WHEN [Tab1].[Gender]<>'F' AND [Tab1].[Gender]<>'M' THEN (0) ELSE NULL END))           |    |--Clustered Index Insert(OBJECT:([Tab1].[PK]), SET:([Tab1].[ID] = RaiseIfNullInsert([@1]),[Tab1].[ID_Genders] = [@2],[Tab1].[Gender] = [Expr1003]), DEFINE:([Expr1003]=CONVERT_IMPLICIT(char(1),[@3],0)))           |--Clustered Index Seek(OBJECT:([Tab2].[PK]), SEEK:([Tab2].[ID]=[Tab1].[ID_Genders]) ORDERED FORWARD) Here we can see the Assert operator twice, first (looking down to up in the text plan and the right to left in the graphical plan) validating the Check Constraint. The same concept showed above is used, if the exit value is "0" than keep running the query, but if NULL is returned shows an exception. The second Assert is validating the result of the Tab1 and Tab2 join. It is interesting to see the "[Expr1007] IS NULL". To understand that you need to know what this Expr1007 is, look at the Probe Value (green text) in the text plan and you will see that it is the result of the join. If the value passed to the INSERT at the column ID_Gender exists in the table Tab2, then that probe will return the join value; otherwise it will return NULL. So the Assert is checking the value of the search at the Tab2; if the value that is passed to the INSERT is not found  then Assert will show one exception. If the value passed to the column ID_Genders is NULL than the SQL can't show a exception, in that case it returns "0" and keeps running the query. If you run the INSERT above, the SQL will show an exception because of the "X" value, but if you change the "X" to "F" and run again, it will show an exception because of the value "4". If you change the value "4" to NULL, 1, 2 or 3 the insert will be executed without any error. Assert checking a SubQuery: The Assert operator is also used to check one subquery. As we know, one scalar subquery can't validly return more than one value: Sometimes, however, a  mistake happens, and a subquery attempts to return more than one value . Here the Assert comes into play by validating the condition that a scalar subquery returns just one value. Take the following query: INSERT INTO Tab1(ID_TipoSexo, Sexo) VALUES((SELECT ID_TipoSexo FROM Tab1), 'F')    INSERT INTO Tab1(ID_TipoSexo, Sexo) VALUES((SELECT ID_TipoSexo FROM Tab1), 'F')    |--Assert(WHERE:(CASE WHEN NOT [Pass1016] AND [Expr1015] IS NULL THEN (0) ELSE NULL END))        |--Nested Loops(Left Semi Join, PASSTHRU:([tempdb].[dbo].[Tab1].[ID_TipoSexo] IS NULL), OUTER REFERENCES:([tempdb].[dbo].[Tab1].[ID_TipoSexo]), DEFINE:([Expr1015] = [PROBE VALUE]))              |--Assert(WHERE:([Expr1017]))             |    |--Compute Scalar(DEFINE:([Expr1017]=CASE WHEN [tempdb].[dbo].[Tab1].[Sexo]<>'F' AND [tempdb].[dbo].[Tab1].[Sexo]<>'M' THEN (0) ELSE NULL END))              |         |--Clustered Index Insert(OBJECT:([tempdb].[dbo].[Tab1].[PK__Tab1__3214EC277097A3C8]), SET:([tempdb].[dbo].[Tab1].[ID_TipoSexo] = [Expr1008],[tempdb].[dbo].[Tab1].[Sexo] = [Expr1009],[tempdb].[dbo].[Tab1].[ID] = [Expr1003]))              |              |--Top(TOP EXPRESSION:((1)))              |                   |--Compute Scalar(DEFINE:([Expr1008]=[Expr1014], [Expr1009]='F'))              |                        |--Nested Loops(Left Outer Join)              |                             |--Compute Scalar(DEFINE:([Expr1003]=getidentity((1856985942),(2),NULL)))              |                             |    |--Constant Scan              |                             |--Assert(WHERE:(CASE WHEN [Expr1013]>(1) THEN (0) ELSE NULL END))              |                                  |--Stream Aggregate(DEFINE:([Expr1013]=Count(*), [Expr1014]=ANY([tempdb].[dbo].[Tab1].[ID_TipoSexo])))             |                                       |--Clustered Index Scan(OBJECT:([tempdb].[dbo].[Tab1].[PK__Tab1__3214EC277097A3C8]))              |--Clustered Index Seek(OBJECT:([tempdb].[dbo].[Tab2].[PK__Tab2__3214EC27755C58E5]), SEEK:([tempdb].[dbo].[Tab2].[ID]=[tempdb].[dbo].[Tab1].[ID_TipoSexo]) ORDERED FORWARD)  You can see from this text showplan that SQL Server as generated a Stream Aggregate to count how many rows the SubQuery will return, This value is then passed to the Assert which then does its job by checking its validity. Is very interesting to see that  the Query Optimizer is smart enough be able to avoid using assert operators when they are not necessary. For instance: INSERT INTO Tab1(ID_TipoSexo, Sexo) VALUES((SELECT ID_TipoSexo FROM Tab1 WHERE ID = 1), 'F') INSERT INTO Tab1(ID_TipoSexo, Sexo) VALUES((SELECT TOP 1 ID_TipoSexo FROM Tab1), 'F')  For both these INSERTs, the Query Optimiser is smart enough to know that only one row will ever be returned, so there is no need to use the Assert. Well, that's all folks, I see you next week with more "Operators". Cheers, Fabiano

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  • You Need BRM When You have EBS – and Even When You Don’t!

    - by bwalstra
    Here is a list of criteria to test your business-systems (Oracle E-Business Suite, EBS) or otherwise to support your lines of digital business - if you score low, you need Oracle Billing and Revenue Management (BRM). Functions Scalability High Availability (99.999%) Performance Extensibility (e.g. APIs, Tools) Upgradability Maintenance Security Standards Compliance Regulatory Compliance (e.g. SOX) User Experience Implementation Complexity Features Customer Management Real-Time Service Authorization Pricing/Promotions Flexibility Subscriptions Usage Rating and Pricing Real-Time Balance Mgmt. Non-Currency Resources Billing & Invoicing A/R & G/L Payments & Collections Revenue Assurance Integration with Key Enterprise Applications Reporting Business Intelligence Order & Service Mgmt (OSM) Siebel CRM E-Business Suite On-/Off-line Mediation Payment Processing Taxation Royalties & Settlements Operations Management Disaster Recovery Overall Evaluation Implementation Configuration Extensibility Maintenance Upgradability Functional Richness Feature Richness Usability OOB Integrations Operations Management Leveraging Oracle Technology Overall Fit for Purpose You need Oracle BRM: Built for high-volume transaction processing Monetizes any service or event based on any metric Supports high-volume usage rating, pricing and promotions Provides real-time charging, service authorization and balance management Supports any account structure (e.g. corporate hierarchies etc.) Scales from low volumes to extremely high volumes of transactions (e.g. billions of trxn per hour) Exposes every single function via APIs (e.g. Java, C/C++, PERL, COM, Web Services, JCA) Immediate Business Benefits of BRM: Improved business agility and performance Supports the flexibility, innovation, and customer-centricity required for current and future business models Faster time to market for new products and services Supports 360 view of the customer in real-time – products can be launched to targeted customers at a record-breaking pace Streamlined deployment and operation Productized integrations, standards-based APIs, and OOB enablement lower deployment and maintenance costs Extensible and scalable solution Minimizes risk – initial phase deployed rapidly; solution extended and scaled seamlessly per business requirements Key Considerations Productized integration with key Oracle applications Lower integration risks and cost Efficient order-to-cash process Engineered solution – certification on Exa platform Exadata tested at PayPal in the re-platforming project Optimal performance of Oracle assets on Oracle hardware Productized solution in Rapid Offer Design and Order Delivery Fast offer design and implementation Significantly shorter order cycle time Productized integration with Oracle Enterprise Manager Visibility to system operability for optimal up time

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  • Improving the performance of a db import process

    - by mmr
    I have a program in Microsoft Access that processes text and also inserts data in MySQL database. This operation takes 30 mins or less to finished. I translated it into VB.NET and it takes 2 hours to finish. The program goes like this: A text file contains individual swipe from a corresponding person, it contains their id, time and date of swipe in the machine, and an indicator if it is a time-in or a time-out. I process this text, segregate the information and insert the time-in and time-out per row. I also check if there are double occurrences in the database. After checking, I simply merge the time-in and time-out of the corresponding person into one row only. This process takes 2 hours to finished in VB.NET considering I have a table to compare which contains 600,000+ rows. Now, I read in the internet that python is best in text processing, i already have a test but i doubt in database operation. What do you think is the best programming language for this kind of problem? How can I speed up the process? My first idea was using python instead of VB.NET, but since people here telling me here on SO that this most probably won't help I am searching for different solutions.

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  • Dryad and DryadLINQ from MSR

    - by Daniel Moth
    Microsoft Research (MSR) researches technologies, incubates projects which many times result in technology that looks like a ready-to-use product (but it is important to understand that these are not the same as products built by the various… actual product teams here at Microsoft). A very popular MSR project has been DryadLINQ, which itself builds on Dryad. To learn more follow the project pages I just linked to and I also recommend this 1-hour channel 9 video. If you only have 3 minutes, watch this great elevator pitch instead. You can also stay tuned on the official blog, which includes a post that refers to internal adoption e.g by Bing, a quick DryadLINQ code example, and some history on how DryadLINQ generalizes the MapReduce pattern and makes it accessible to regular programmers (see this post and that post). Essentially, the DryadLINQ framework (building on the Dryad runtime) allows developers to re-use their LINQ skills for creating/generating programs that process large multi-gigabyte/terabyte datasets across 100s-1000s of machines. One way to think about it is that just as Parallel LINQ allows LINQ developers to seamlessly use multiple cores from a single process on a single machine, DryadLINQ allows LINQ developers to seamlessly use multiple machines for their data parallel algorithms. In the former scenario the motivation was speed of execution, in the latter it is speed of execution AND processing large datasets that simply don't fit on a single machine. Whenever I hear about execution of parallel code on multiple machines on the Microsoft platform, I immediately think of Windows HPC Server. Indeed Dryad and DryadLINQ were made available for Windows HPC Server and I encourage you to watch the PDC session on this topic: Data-Intensive Computing on Windows HPC Server with the DryadLINQ Framework. Watch this space… Comments about this post welcome at the original blog.

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  • What have you learnt that has a steep learning curve?

    - by Jonathan Khoo
    Recently, I've invested time in learning the intricacies of Git and it has got me thinking about time and learning. (My previous experience with version control systems was only limited use of CVS and SVN.) It took me a whole day's worth of reading to be able to understand the concepts and differences of Git. There are an infinite number of things available for us to learn. Some, more useful than others. I don't know Fortran - I'm relatively young. But looking back at the preceding years of my life, I notice that I'm busier and busier as time goes on. The amount of things I have to get through in a day is increasingly out of my control. It doesn't take a genius to extrapolate that information and realise I'll have even less time in the future - unless I get fired, but I have no strong plans relating to that idea for now. So, given that I have much more time and energy now than I will have in the future: what have you learnt, that has a steep learning curve, that you would possibly recommend to a fellow programmer? Edit: I've stumbled upon the excellent question What programming skills have provided you the best return on investment? and hav realised that my way of approaching how to spend learning time was naive - it doesn't matter if ten useful concepts can be learnt in the time of one if they're worth it.

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • Colour coding of the status bar in SQL Server Management Studio - Oh dear

    - by simonsabin
    The new feature in SQL Server 2008 to have your query window status bar colour coded to the server you are on is great. Its a nice way to distinguish production from development servers. Unfortunately it was pointed out to me by a client recently that it doesn't always work. To me that sort of makes it pointless. Its a bit like having breaks that work some of the time. Are you going to place Russian roulette every time you execute the query. Whats more the colour doesn't change if you change the connection. So you can flip between dev and production servers but your status bar stays the colour you set for the dev server. It really annoys me to find features that sort of work. The reason I initially gave up on SQLPrompt was that it didn't work 100% of the time and for that time it didn't work I wasted so much time trying to get it to work I wasted more time than if I didn't have it. (I will say that was 2-3 years ago). If you would like to use this feature but aren't because of these features please vote on these bugs. https://connect.microsoft.com/SQLServer/feedback/details/504418/ssms-make-color-coding-of-query-windows-work-all-the-time https://connect.microsoft.com/SQLServer/feedback/details/361832/update-status-bar-colour-when-changing-connections  

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  • Game Resource Generation

    - by Darthg8r
    I am currently building a game that has a "City" entity. These cities generate and consume resources such as food variably over a period of time. I need to be able query the server often to find exactly how much food the city at any given point. These queries can take place multiple times per minute. There could also be 400,000 cities to track at a given time. How would you handle tracking these resources? Would you do it in real time, keeping an instance of the city in memory on the server, with some sort of a snapshot in time of the resources, then computing the growth/consumption from that snapshot time for subsequent queries? Would you work exclusively with a database, using a similar "snapshoting" scheme? Maybe a mixture of the 2, caching recently queried cities in memory for a period of time? There is also a lot of other data that each city needs to track. A player can queue units to build in a barrack. The armies available in the city will need to be updated as units complete. I'm interested in everyone's input on where/when/how you'd manage the real time data.

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  • If statement causing xna sprites to draw frame by frame

    - by user1489599
    I’m a bit new to XNA but I wanted to write a simple program that would fire a cannon ball from a cannon at a 45 degree angle. It works fine outside of my keyboard i/o if statement, but when I encapsulate the code around an if statement checking to see if the user hits the space bar, the sprite will draw one frame at a time every time the space bar is hit. This is the code in question if (currentKeyboardState.IsKeyUp(Keys.Space) && previousKeyboardState.IsKeyDown(Keys.Space) && !skullBall.Alive) { //works outside the keyboard input if statement //{ skullBall.Position = cannon.Position; skullBall.DeltaY = -(float)(Math.Sin(MathHelper.ToRadians(45)) * 50/*39.7577*/ * time + 0.5 * (gravity * (time * time))); skullBall.DeltaX = (float)(Math.Cos(MathHelper.ToRadians(45)) * 50/*39.7577*/ * time); skullBall.Alive = true; //} } The skull ball represents the cannon ball and the cannon is just the starting point. DeltaX and DeltaY are the values I’m using to update the cannon balls position per update. I know it's dumb to have the cannon ball start at the cannons position every time the update is called but it’s not really noticeable right now. I was wondering if after examining my code, if anyone noticed any errors that would cause the sprite to display frame by frame instead of drawing it as a full animation of the cannon ball leaving the cannon and moving from there.

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  • How to loop section from a song correctly?

    - by Teflo
    I'm programming a little Music Engine for my game in C# and XNA, and one aspect from it is the possibility to loop a section from a song. For example, my song has an intropart, and when the song reached the end ( or any other specific point ), it jumps back where the intropart is just over. ( A - B - B - B ... ) Now I'm using IrrKlank, which is working perfectly, without any gaps, but I have a problem: The point where to jump back is a bit inaccurate. Here's some example code: public bool Passed(float time) { if ( PlayPosition >= time ) return true; return false; } //somewhere else if( song.Passed( 10.0f ) ) song.JumpTo( 5.0f ); Now the problem is, the song passes the 10 seconds, but play a few milliseconds until 10.1f or so, and then jumps to 5 seconds. It's not that dramatic, but very incorrect for my needs. I tried to fix it like that: public bool Passed( float time ) { if( PlayPosition + 3 * dt >= time && PlayPosition <= time ) return true; return false; } ( dt is the delta time, the elapsed time since the last frame ) But I don't think, that's a good solution for that. I hope, you can understand my problem ( and my english, yay /o/ ) and help me :)

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  • Multiplayer Network Game - Interpolation and Frame Rate

    - by J.C.
    Consider the following scenario: Let's say, for sake of example and simplicity, that you have an authoritative game server that sends state to its clients every 45ms. The clients are interpolating state with an interpolation delay of 100 ms. Finally, the clients are rendering a new frame every 15ms. When state is updated on the client, the client time is set from the incoming state update. Each time a frame renders, we take the render time (client time - interpolation delay) and identify a previous and target state to interpolate from. To calculate the interpolation amount/factor, we take the difference of the render time and previous state time and divide by the difference of the target state and previous state times: var factor = ((renderTime - previousStateTime) / (targetStateTime - previousStateTime)) Problem: In the example above, we are effectively displaying the same interpolated state for 3 frames before we collected the next server update and a new client (render) time is set. The rendering is mostly smooth, but there is a dash of jaggedness to it. Question: Given the example above, I'd like to think that the interpolation amount/factor should increase with each frame render to smooth out the movement. Should this be considered and, if so, what is the best way to achieve this given the information from above?

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  • SSISDB Analysis Script on Gist

    - by Davide Mauri
    I've created two simple, yet very useful, script to extract some useful data to quickly monitor SSIS packages execution in SQL Server 2012 and after.get-ssis-execution-status  get-ssis-data-pumped-rows  I've started to use gist since it comes very handy, for this "quick'n'dirty" scripts and snippets, and you can find the above scripts and others (hopefully the number will increase over time...I plan to use gist to store all the code snippet I used to store in a dedicated folder on my machine) there.Now, back to the aforementioned scripts. The first one ("get-ssis-execution-status") returns a list of all executed and executing packages along with latest successful and running executions (so that on can have an idea of the expected run time)error messageswarning messages related to duplicate rows found in lookupsthe second one ("get-ssis-data-pumped-rows") returns information on DataFlows status. Here there's something interesting, IMHO. Nothing exceptional, let it be clear, but nonetheless useful: the script extract information on destinations and row sent to destinations right from the messages produced by the DataFlow component. This helps to quickly understand how many rows as been sent and where...without having to increase the logging level.Enjoy! PSI haven't tested it with SQL Server 2014, but AFAIK they should work without problems. Of course any feedback on this is welcome. 

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