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  • JQuery and JSON - Add element

    - by Villager
    Hello, I have a JSON variable defined as: var myCollection = { "data": [ { "name":"Joe", "id":"1" }, { "name":"Bill", "id":"2" }, { "name":"Dave", "id":"3" } ] }; I have a JavaScript function that is responsible for adding items to the data element in myCollection. However, I'm not sure how to add a name/id pair to the collection via JavaScript. Can someone show me how to add to a JSON collection via JavaScript? Thank you!

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  • Help needed to construct a SQL query

    - by song202y
    Need your help to get the list of suggested friends (who aren't friends of the current user but are friends of 2 or more of the current user's friends). The primary ordering should put people at the same school at the top, and the secondary ordering should put people with more common friends (that is, the number of people who are friends of that person and the current user) near the top. Users: user_id PK, user_name Profiles: user_id PK, school_name, ... Friendships: id PK, user_id FK, friend_id FK Thank you in advance. Joe

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  • Using Tyburn with Maven

    - by TheDelChop
    Guys, I"m trying to use Tyburn to do some BDD with JBehave and I've got a question about what Tyburn can do. Can Tyburn simulate Menu selections? Like Ive I want to say something like @Then("when I select 'Start' from the Recording Menu) selectMenu(Recording) selectMenuItem(Start) Is there a way to make this happen? Thanks, Joe

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  • Bash Read Array from External File

    - by jmituzas
    I have setup a Bash menu script that also requires user input. These inputs are wrote (appended to) a text file named var.txt like so: input[0]='192.0.0.1' input[1]='username' input[2]='example.com' input[3]='/home/newuser' Now what I am trying to accomplish is to be able to read from var.txt from a script kinda like this: useradd var.txt/${input[1]} now I know that wont work just using it for an example. Thanks in Advance, Joe

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  • Tuning Red Gate: #3 of Lots

    - by Grant Fritchey
    I'm drilling down into the metrics about SQL Server itself available to me in the Analysis tab of SQL Monitor to see what's up with our two problematic servers. In the previous post I'd noticed that rg-sql01 had quite a few CPU spikes. So one of the first things I want to check there is how much CPU is getting used by SQL Server itself. It's possible we're looking at some other process using up all the CPU Nope, It's SQL Server. I compared this to the rg-sql02 server: You can see that there is a more, consistently low set of CPU counters there. I clearly need to look at rg-sql01 and capture more specific data around the queries running on it to identify which ones are causing these CPU spikes. I always like to look at the Batch Requests/sec on a server, not because it's an indication of a problem, but because it gives you some idea of the load. Just how much is this server getting hit? Here are rg-sql01 and rg-sql02: Of the two, clearly rg-sql01 has a lot of activity. Remember though, that's all this is a measure of, activity. It doesn't suggest anything other than what it says, the number of requests coming in. But it's the kind of thing you want to know in order to understand how the system is used. Are you seeing a correlation between the number of requests and the CPU usage, or a reverse correlation, the number of requests drops as the CPU spikes? See, it's useful. Some of the details you can look at are Compilations/sec, Compilations/Batch and Recompilations/sec. These give you some idea of how the cache is getting used within the system. None of these showed anything interesting on either server. One metric that I like (even though I know it can be controversial) is the Page Life Expectancy. On the average server I expect see a series of mountains as the PLE climbs then drops due to a data load or something along those lines. That's not the case here: Those spikes back in January suggest that the servers weren't really being used much. The PLE on the rg-sql01 seems to be somewhat consistent growing to 3 hours or so then dropping, but the rg-sql02 PLE looks like it might be all over the map. Instead of continuing to look at this high level gathering data view, I'm going to drill down on rg-sql02 and see what it's done for the last week: And now we begin to see where we might have an issue. Memory on this system is getting flushed every 1/2 hour or so. I'm going to check another metric, scans: Whoa! I'm going back to the system real quick to look at some disk information again for rg-sql02. Here is the average disk queue length on the server: and the transfers Right, I think I have a guess as to what's up here. We're seeing memory get flushed constantly and we're seeing lots of scans. The disks are queuing, especially that F drive, and there are lots of requests that correspond to the scans and the memory flushes. In short, we've got queries that are scanning the data, a lot, so we either have bad queries or bad indexes. I'm going back to the server overview for rg-sql02 and check the Top 10 expensive queries. I'm modifying it to show me the last 3 days and the totals, so I'm not looking at some maintenance routine that ran 10 minutes ago and is skewing the results: OK. I need to look into these queries that are getting executed this much. They're generating a lot of reads, but which queries are generating the most reads: Ow, all still going against the same database. This is where I'm going to temporarily leave SQL Monitor. What I want to do is connect up to the server, validate that the Warehouse database is using the F:\ drive (which I'll put money down it is) and then start seeing what's up with these queries. Part 1 of the Series Part 2 of the Series

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  • The enterprise vendor con - connecting SSD's using SATA 2 (3Gbits) thus limiting there performance

    - by tonyrogerson
    When comparing SSD against Hard drive performance it really makes me cross when folk think comparing an array of SSD running on 3GBits/sec to hard drives running on 6GBits/second is somehow valid. In a paper from DELL (http://www.dell.com/downloads/global/products/pvaul/en/PowerEdge-PowerVaultH800-CacheCade-final.pdf) on increasing database performance using the DELL PERC H800 with Solid State Drives they compare four SSD drives connected at 3Gbits/sec against ten 10Krpm drives connected at 6Gbits [Tony slaps forehead while shouting DOH!]. It is true in the case of hard drives it probably doesn’t make much difference 3Gbit or 6Gbit because SAS and SATA are both end to end protocols rather than shared bus architecture like SCSI, so the hard drive doesn’t share bandwidth and probably can’t get near the 600MiBytes/second throughput that 6Gbit gives unless you are doing contiguous reads, in my own tests on a single 15Krpm SAS disk using IOMeter (8 worker threads, queue depth of 16 with a stripe size of 64KiB, an 8KiB transfer size on a drive formatted with an allocation size of 8KiB for a 100% sequential read test) I only get 347MiBytes per second sustained throughput at an average latency of 2.87ms per IO equating to 44.5K IOps, ok, if that was 3GBits it would be less – around 280MiBytes per second, oh, but wait a minute [...fingers tap desk] You’ll struggle to find in the commodity space an SSD that doesn’t have the SATA 3 (6GBits) interface, SSD’s are fast not only low latency and high IOps but they also offer a very large sustained transfer rate, consider the OCZ Agility 3 it so happens that in my masters dissertation I did the same test but on a difference box, I got 374MiBytes per second at an average latency of 2.67ms per IO equating to 47.9K IOps – cost of an 240GB Agility 3 is £174.24 (http://www.scan.co.uk/products/240gb-ocz-agility-3-ssd-25-sata-6gb-s-sandforce-2281-read-525mb-s-write-500mb-s-85k-iops), but that same drive set in a box connected with SATA 2 (3Gbits) would only yield around 280MiBytes per second thus losing almost 100MiBytes per second throughput and a ton of IOps too. So why the hell are “enterprise” vendors still only connecting SSD’s at 3GBits? Well, my conspiracy states that they have no interest in you moving to SSD because they’ll lose so much money, the argument that they use SATA 2 doesn’t wash, SATA 3 has been out for some time now and all the commodity stuff you buy uses it now. Consider the cost, not in terms of price per GB but price per IOps, SSD absolutely thrash Hard Drives on that, it was true that the opposite was also true that Hard Drives thrashed SSD’s on price per GB, but is that true now, I’m not so sure – a 300GByte 2.5” 15Krpm SAS drive costs £329.76 ex VAT (http://www.scan.co.uk/products/300gb-seagate-st9300653ss-savvio-15k3-25-hdd-sas-6gb-s-15000rpm-64mb-cache-27ms) which equates to £1.09 per GB compared to a 480GB OCZ Agility 3 costing £422.10 ex VAT (http://www.scan.co.uk/products/480gb-ocz-agility-3-ssd-25-sata-6gb-s-sandforce-2281-read-525mb-s-write-410mb-s-30k-iops) which equates to £0.88 per GB. Ok, I compared an “enterprise” hard drive with a “commodity” SSD, ok, so things get a little more complicated here, most “enterprise” SSD’s are SLC and most commodity are MLC, SLC gives more performance and wear, I’ll talk about that another day. For now though, don’t get sucked in by vendor marketing, SATA 2 (3Gbit) just doesn’t cut it, SSD need 6Gbit to breath and even that SSD’s are pushing. Alas, SSD’s are connected using SATA so all the controllers I’ve seen thus far from HP and DELL only do SATA 2 – deliberate? Well, I’ll let you decide on that one.

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  • WebCenter Customer Spotlight: Texas Industries, Inc.

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummaryTexas Industries, Inc. (TXI) is a leading supplier of cement, aggregate, and consumer product building materials for residential, commercial, and public works projects. TXI is based in Dallas and employs around 2,000 employees. The customer had the challenge of decentralized and manual processes for entering 180,000 vendor invoices annually.  Invoice entry was a time- and resource-intensive process that entailed significant personnel requirements. TXI implemented a centralized solution leveraging Oracle WebCenter Imaging, a smart routing solution that enables users to capture invoices electronically with Oracle WebCenter Capture and Oracle WebCenter Forms Recognition to send  the invoices through to Oracle Financials for approvals and processing.  TXI significantly lowered resource needs for payable processing,  increase productivity by 80% and reduce invoice processing cycle times by 84%—from 20 to 30 days to just 3 to 5 days, on average. Company OverviewTexas Industries, Inc. (TXI) is a leading supplier of cement, aggregate, and consumer product building materials for residential, commercial, and public works projects. With operating subsidiaries in six states, TXI is the largest producer of cement in Texas and a major producer in California. TXI is a major supplier of stone, sand, gravel, and expanded shale and clay products, and one of the largest producers of bagged cement and concrete  products in the Southwest. Business ChallengesTXI had the challenge of decentralized and manual processes for entering 180,000 vendor invoices annually.  Invoice entry was a time- and resource-intensive process that entailed significant personnel requirements. Their business objectives were: Increase the efficiency of core business processes, such as invoice processing, to support the organization’s desire to maintain its role as the Southwest’s leader in delivering high-quality, low-cost products to the construction industry Meet the audit and regulatory requirements for achieving Sarbanes-Oxley (SOX) compliance Streamline entry of 180,000 invoices annually to accelerate processing, reduce errors, cut invoice storage and routing costs, and increase visibility into payables liabilities Solution DeployedTXI replaced a resource-intensive, paper-based, decentralized process for invoice entry with a centralized solution leveraging Oracle WebCenter Imaging 11g. They worked with the Oracle Partner Keste LLC to develop a smart routing solution that enables users to capture invoices electronically with Oracle WebCenter Capture and then uses Oracle WebCenter Forms Recognition and the Oracle WebCenter Imaging workflow to send the invoices through to Oracle Financials for approvals and processing. Business Results Significantly lowered resource needs for payable processing through centralization and improved efficiency  Enabled the company to process invoices faster and pay bills earlier, allowing it to take advantage of additional vendor discounts Tracked to increase productivity by 80% and reduce invoice processing cycle times by 84%—from 20 to 30 days to just 3 to 5 days, on average Achieved a 25% reduction in paper invoice storage costs now that invoices are captured digitally, and enabled a 50% reduction in shipping costs, as the company no longer has to send paper invoices between headquarters and production facilities for approvals “Entering and manually processing more than 180,000 vendor invoices annually was time and labor intensive. With Oracle Imaging and Process Management, we have automated and centralized invoice entry and processing at our corporate office, improving productivity by 80% and reducing invoice processing cycle times by 84%—a very important efficiency gain.” Terry Marshall, Vice President of Information Services, Texas Industries, Inc. Additional Information TXI Customer Snapshot Oracle WebCenter Content Oracle WebCenter Capture Oracle WebCenter Forms Recognition

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  • Thoughts on ODTUG Kscope12

    - by thatjeffsmith
    The rodeo rocked! This wasn’t my first rodeo, and it wasn’t my first Kscope, but it was probably my favorite one. What is Kscope? It’s the annual conference for the Oracle Development Tools User Group. 1,000+ attendees from 20+ countries with an average Jeff Klout score of 65. I just made that metric and score up, but this conference attracts the best and brightest in the Oracle database space. I’m not just talking about the speakers either. The attendees are all top notch. They actively participate in sessions, make an effort to get to know their fellow conference mates, and often turn into volunteers and speakers. Developers that enjoy unit testing, understand the importance of modeling your data, and are eager to understand the Oracle CBO – these are traits that describe the ‘average’ ODTUG developer. 2012′s event was held in San Antonio. Yes, it was very hot. But this might have been the nicest Marriott property I’ve ever visited, and I’ve stayed at some nice ones in Hawaii and St. Thomas. They had free WiFi everywhere – the rooms, the Conference Center, the lobby, bars, everywhere. And it worked. The after hours events were very fun. I embarrassed myself several times, but that’s OK. The rodeo was an awesome event and the Thirsty Games experience was something I hope does not make it onto YouTube or Facebook — talking to you Chet Justice. I finally got to meet and spend some time with some folks I’ve always wanted to get to know better, @timothyjgorman, @alexgorbachev, @lj_dobson, @dschleis, @kentGraziano, @chriscmuir, @GaloBalda, @patch72, and many, many more! I even made some new friends thanks to the Mentor program and @carol_finn. 2013′s event will be in New Orleans. If you haven’t joined ODTUG or haven’t made it to Kscope, go ahead and mark your calendars. I had 3 presentations this year. Sunday’s was not a good performance, and I want to apologize to anyone who was there and was hoping for more. My Tips and Debugging sessions on Monday and Tuesday were more to my liking, and I enjoyed them as a presenter. I hope you enjoyed them as an attendee. I understand that my slidedecks were corrupted on the ODTUG site, and I’m working with the coordinator now to get those fixed ASAP. Apparently the 2 most well-received Tips was the /*CSV*/ formatting hint and recalling your previous SQL history via the keyboard. I’ll be doing a follow-up webinar with ODTUG in a few weeks for those members that weren’t able to see my Tips and Debugger sessions in San Antonio. I’ll be sure to post details on that here when I have the details. My next scheduled conference is Oracle Open World, and I may have a couple of shows after that to round out 2012.

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  • PASS Summit 2011 &ndash; Part II

    - by Tara Kizer
    I arrived in Seattle last Monday afternoon to attend PASS Summit 2011.  I had really wanted to attend Gail Shaw’s (blog|twitter) and Grant Fritchey’s (blog|twitter) pre-conference seminar “All About Execution Plans” on Monday, but that would have meant flying out on Sunday which I couldn’t do.  On Tuesday, I attended Allan Hirt’s (blog|twitter) pre-conference seminar entitled “A Deep Dive into AlwaysOn: Failover Clustering and Availability Groups”.  Allan is a great speaker, and his seminar was packed with demos and information about AlwaysOn in SQL Server 2012.  Unfortunately, I have lost my notes from this seminar and the presentation materials are only available on the pre-con DVD.  Hmpf! On Wednesday, I attended Gail Shaw’s “Bad Plan! Sit!”, Andrew Kelly’s (blog|twitter) “SQL 2008 Query Statistics”, Dan Jones’ (blog|twitter) “Improving your PowerShell Productivity”, and Brent Ozar’s (blog|twitter) “BLITZ! The SQL – More One Hour SQL Server Takeovers”.  In Gail’s session, she went over how to fix bad plans and bad query patterns.  Update your stale statistics! How to fix bad plans Use local variables – optimizer can’t sniff it, so it’ll optimize for “average” value Use RECOMPILE (at the query or stored procedure level) – CPU hit OPTIMIZE FOR hint – most common value you’ll pass How to fix bad query patterns Don’t use them – ha! Catch-all queries Use dynamic SQL OPTION (RECOMPILE) Multiple execution paths Split into multiple stored procedures OPTION (RECOMPILE) Modifying parameter values Use local variables Split into outer and inner procedure OPTION (RECOMPILE) She also went into “last resort” and “very last resort” options, but those are risky unless you know what you are doing.  For the average Joe, she wouldn’t recommend these.  Examples are query hints and plan guides. While I enjoyed Andrew’s session, I didn’t take any notes as it was familiar material.  Andrew is a great speaker though, and I’d highly recommend attending his sessions in the future. Next up was Dan’s PowerShell session.  I need to look into profiles, manifests, function modules, and function import scripts more as I just didn’t quite grasp these concepts.  I am attending a PowerShell training class at the end of November, so maybe that’ll help clear it up.  I really enjoyed the Excel integration demo.  It was very cool watching PowerShell build the spreadsheet in real-time.  I must look into this more!  On a side note, I am jealous of Dan’s hair.  Fabulous hair! Brent’s session showed us how to quickly gather information about a server that you will be taking over database administration duties for.  He wrote a script to do a fast health check and then later wrapped it into a stored procedure, sp_Blitz.  I can’t wait to use this at my work even on systems where I’ve been the primary DBA for years, maybe there’s something I’ve overlooked.  We are using EPM to help standardize our environment and uncover problems, but sp_Blitz will definitely still help us out.  He even provides a cloud-based update feature, sp_BlitzUpdate, for sp_Blitz so you don’t have to constantly update it when he makes a change.  I think I’ll utilize his update code for some other challenges that we face at my work.

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  • SQLAuthority News – Advantages of Distance Learning

    - by Pinal Dave
    Distance education is extremely popular – almost overnight, it seems.  Almost everyone has taken an online course, or knows someone who has, or is considering joining an online school.  There are many advantages and disadvantages to attending an online school – but the same can be said of attending a physical school!  Let’s take a look at the top reasons to use distance education. 1) Flexibility.  Physical universities are usually willing to make some concessions to student – like night classes, study hours, and online networks.  However, nothing is going to beat the flexibility of distance education.  You can attend classes and take notes anytime, anywhere, wearing anything you’d like! 2) Affordability.  We don’t need to get into hard numbers to understand how an expensive university can be.  Students are taking on more and more debt just to get an education.  Many of these fees pay for room, board, and facilities.   Distance education cuts out all these costs, and makes attending school much more affordable for the average student. 3) Try before you buy.  Did you know that the average college student changes his or her major 10 times before they graduate?  You can imagine that this kind of indecision plays a huge part in WHEN you graduate – not being able to make up your mind can cost you big bucks if you have to stay in school for extra years!  Distance education allows you to take different classes from a wide range of disciplines.  Do you want to study forensic science or English literature?  Now you don’t have to pay for classes you can’t afford just to find out. 4) Pace yourself.  Some students struggle in a traditional classroom setting – classes can be taught too fast, too slow, or there are too many distractions.  Distance education allows mature students to set the pace themselves.  They can rewatch lectures they didn’t catch the first time, or go through classes quickly if they are already familiar with the material – cutting out the chance of burning out or getting bored. 5) Lifelong learning.  Maybe you already have a degree, but would like to learn more about your field, or a related field, or maybe even about something completely unrelated – just because you are curious!  Distance education allows you to learn whatever you want ,whenever you want (and yes, wearing anything you’d like!). 6) Attend whatever college you want.  Because of the popularity of distance education, physical campuses are getting in on the game by offering online courses – often just uploaded versions of classes already taught at their campus.  Ever wanted to attend Harvard, but knew you couldn’t get in?  Take a class online!  Of course, you probably should not attempt to lie and say you have a Harvard degree, but Ivy League colleges are prestigious because they are the best in their field – take advantage of the best by taking an online course! I am a big believer in continuing education, whether it is online courses, returning to school, or even take informal classes online.  Distance education can be a great way to accomplish these goals and become a lifelong learner. My friends at provides training through virtual classrooms for students who want to avoid travelling. Distance learning course allows IT aspirants to connect with trainers using the internet.  I encourage everyone to check it out! Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Training, T SQL, Technology

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  • New Analytic settings for the new code

    - by Steve Tunstall
    If you have upgraded to the new 2011.1.3.0 code, you may find some very useful settings for the Analytics. If you didn't already know, the analytic datasets have the potential to fill up your OS hard drives. The more datasets you use and create, that faster this can happen. Since they take a measurement every second, forever, some of these metrics can get in the multiple GB size in a matter of weeks. The traditional 'fix' was that you had to go into Analytics -> Datasets about once a month and clean up the largest datasets. You did this by deleting them. Ouch. Now you lost all of that historical data that you might have wanted to check out many months from now. Or, you had to export each metric individually to a CSV file first. Not very easy or fun. You could also suspend a dataset, and have it not collect data at all. Well, that fixed the problem, didn't it? of course you now had no data to go look at. Hmmmm.... All of this is no longer a concern. Check out the new Settings tab under Analytics... Now, I can tell the ZFSSA to keep every second of data for, say, 2 weeks, and then average those 60 seconds of each minute into a single 'minute' value. I can go even further and ask it to average those 60 minutes of data into a single 'hour' value.  This allows me to effectively shrink my older datasets by a factor of 1/3600 !!! Very cool. I can now allow my datasets to go forever, and really never have to worry about them filling up my OS drives. That's great going forward, but what about those huge datasets you already have? No problem. Another new feature in 2011.1.3.0 is the ability to shrink the older datasets in the same way. Check this out. I have here a dataset called "Disk: I/O opps per second" that is about 6.32M on disk (You need not worry so much about the "In Core" value, as that is in RAM, and it fluctuates all the time. Once you stop viewing a particular metric, you will see that shrink over time, just relax).  When one clicks on the trash can icon to the right of the dataset, it used to delete the whole thing, and you would have to re-create it from scratch to get the data collecting again. Now, however, it gives you this prompt: As you can see, this allows you to once again shrink the dataset by averaging the second data into minutes or hours. Here is my new dataset size after I do this. So it shrank from 6.32MB down to 2.87MB, but i can still see my metrics going back to the time I began the dataset. Now, you do understand that once you do this, as you look back in time to the minute or hour data metrics, that you are going to see much larger time values, right? You will need to decide what size of granularity you can live with, and for how long. Check this out. Here is my Disk: Percent utilized from 5-21-2012 2:42 pm to 4:22 pm: After I went through the delete process to change everything older than 1 week to "Minutes", the same date and time looks like this: Just understand what this will do and how you want to use it. Right now, I'm thinking of keeping the last 6 weeks of data as "seconds", and then the last 3 months as "Minutes", and then "Hours" forever after that. I'll check back in six months and see how the sizes look. Steve 

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  • How can a developer realize the full value of his work [closed]

    - by Jubbat
    I, honestly, don't want to work as a developer in a company anymore after all I have seen. I want to continue developing software, yes, but not in the way I see it all around me. And I'm in London, a city that congregates lots of great developers from the whole world, so it shouldn't be a problem of location. So, what are my concerns? First of all, best case scenario: you are paying managers salary out of yours. You are consistently underpaid by making up for the average manager negative net return plus his whole salary. Typical scenario. I am a reasonably good developer with common sense who cares for readable code with attention to basic principles. I have found way too often, overconfident and arrogant developers with a severe lack of common sense. Personally, I don't want to follow TDD or Agile practices like all the cool kids nowadays. I would read about them, form my own opinion and take what I feel is useful, but don't follow it sheepishly. I want to work with people who understand that you have to design good interfaces, you absolutely have to document your code, that readability is at the top of your priorities. Also people who don't have a cargo cult mentality too. For instance, the same person who asked me about design patterns in a job interview, later told me that something like a List of Map of Vector of Map of Set (in Java) is very readable. Why would someone ask me about design patterns if they can't even grasp encapsulation? These kind of things are the norm. I've seen many examples. I've seen worse than that too, from very well paid senior devs, by the way. Every second that you spend working with people with such lack of common sense and clear thinking, you are effectively losing money by being terribly inefficient with your time. Yet, with all these inefficiencies, the average developer earns a high salary. So I tried working on my own then, although I don't like the idea. I prefer healthy exchange of opinions and ideas and task division. I then did a bit of online freelancing for a while but I think working in a sweatshop might be more enjoyable. Also, I studied computer engineering and you are in an environment in which your client will presume you don't have any formal education because there is no way to prove it. Again, you are undervalued. You could try building a product, yes. But, of course, luck is a big factor. I wonder if there is a way to work in something you can do well, software development, and be valued for the quality of your work and be paid accordingly, and where you and only you get fairly paid for the value you generate. I know that what I have written seems somehow unlikely but I strongly feel this way. Hopefully someone will understand me and has already figured this out. I don't think I'm alone in this kind of feeling.

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  • Basic collision direction detection on 2d objects

    - by Osso Buko
    I am trying to develop a platform game for Android by using ANdroid GL Engine (ANGLE). And I am having trouble with collision detection. I have two objects which is shaped as rectangular. And no change in rotation. Here is a scheme of attributes of objects. What i am trying to do is when objects collide they block each other's movement on that direction. Every object has 4 boolean (bTop, bBottom, bRight, bLeft). For example when bBottom is true object can't advance on that direction. I came up with a solution but it seems it only works on one dimensional. Bottom and top or right and left. public void collisionPlatform (MyObject a, MyObject b) { // first obj is player and second is a wall or a platform Vector p1 = a.mPosition; // p1 = middle point of first object Vector d1 = a.mPosition2; // width(mX) and height of first object Vector mSpeed1 = a.mSpeed; // speed vector of first object Vector p2 = b.mPosition; // p1 = middle point of second object Vector d2 = b.mPosition2; // width(mX) and height of second object Vector mSpeed2 = b.mSpeed; // speed vector of second object float xDist, yDist; // distant between middle of two object float width , height; // this is average of two objects measurements width=(width1+width2)/2 xDist=(p1.mX - p2.mX); // calculate distance // if positive first object is at the right yDist=(p1.mY - p2.mY); // if positive first object is below width = d1.mX + d2.mX; // average measurements calculate height = d1.mY + d2.mY; width/=2; height/=2; if (Math.abs(xDist) < width && Math.abs(yDist) < height) { // Two object is collided if(p1.mY>p2.mY) { // first object is below second one a.bTop = true; if(a.mSpeed.mY<0) a.mSpeed.mY=0; b.bBottom = true; if(b.mSpeed.mY>0) b.mSpeed.mY=0; } else { a.bBottom = true; if(a.mSpeed.mY>0) a.mSpeed.mY=0; b.bTop = true; if(b.mSpeed.mY<0) b.mSpeed.mY=0; } } As seen in my code it simply will not work. when object comes from right or left it doesn't work. I tried couple of ways other than this one but none worked. I am guessing right method will include mSpeed vector. But I have no idea how to do it. I really appreciate if you could help. Sorry for my bad english.

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  • Pinterest and the Rising Power of Imagery

    - by Mike Stiles
    If images keep you glued to a screen, you’re hardly alone. Countless social users are letting their eyes do the walking, waiting for that special photo to grab their attention. And perhaps more than any other social network, Pinterest has been giving those eyes plenty of room to walk. Pinterest came along in 2010. Its play was that users could simply create topic boards and pin pictures to the appropriate boards for sharing. Yes there are some words, captions mostly, but not many. The speed of its growth raised eyebrows. Traffic quadrupled in the last quarter of 2011, with 7.51 million unique visitors in December alone. It now gets 1.9 billion monthly page views. And it was sticky. In the US, the average time a user spends strolling through boards and photos on Pinterest is 15 minutes, 50 seconds. Proving the concept of browsing a catalogue is not dead, it became a top 5 referrer for several apparel retailers like Land’s End, Nordstrom, and Bergdorfs. Now a survey of online shoppers by BizRate Insights says that Pinterest is responsible for more purchases online than Facebook. Over 70% of its users are going there specifically to keep up with trends and get shopping ideas. And when they buy, the average order value is $179. Pinterest is also scoring better in terms of user engagement. 66% of pinners regularly follow and repin retailers, whereas 17% of Facebook fans turn to that platform for purchase ideas. (Facebook still wins when it comes to reach and driving traffic to 3rd-party sites by the way). Social posting best practices have consistently shown that posts with photos are rewarded with higher engagement levels. You may be downright Shakespearean in your writing, but what makes images in the digital world so much more powerful than prose? 1. They transcend language barriers. 2. They’re fun and addictive to look at. 3. They can be consumed in fractions of a second, important considering how fast users move through their social content (admit it, you do too). 4. They’re efficient gateways. A good picture might get them to the headline. A good headline might then get them to the written content. 5. The audience for them surpasses demographic limitations. 6. They can effectively communicate and trigger an emotion. 7. With mobile use soaring, photos are created on those devices and easily consumed and shared on them. Pinterest’s iPad app hit #1 in the Apple store in 1 day. Even as far back as 2009, over 2.5 billion devices with cameras were on the streets generating in just 1 year, 10% of the number of photos taken…ever. But let’s say you’re not a retailer. What if you’re a B2B whose products or services aren’t visual? Should you worry about your presence on Pinterest? As with all things, you need a keen awareness of who your audience is, where they reside online, and what they want to do there. If it doesn’t make sense to put a tent stake in Pinterest, fine. But ignore the power of pictures at your own peril. If not visually, how are you going to attention-grab social users scrolling down their News Feeds at top speed? You’re competing with every other cool image out there from countless content sources. Bore us and we’ll fly right past you.

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  • Rethinking Oracle Optimizer Statistics for P6 Part 2

    - by Brian Diehl
    In the previous post (Part 1), I tried to draw some key insights about the relationship between P6 and Oracle Optimizer Statistics.  The first is that average cardinality has the greatest impact on query optimization and that the particular queries generated by P6 are more likely to use this average during calculations. The second is that these are statistics that are unlikely to change greatly over the life of the application. Ultimately, our goal is to get the best query optimization possible.  Or is it? Stability No application administrator wants to get the call at 9am that their application users cannot get there work done because everything is running slow. This is a possibility with a regularly scheduled nightly collection of statistics. It may not just be slow performance, but a complete loss of service because one or more queries are optimized poorly. Ideally, this should not be the case. The database optimizer should make better decisions with more up-to-date data. Better statistics may give incremental performance benefit. However, this benefit must be balanced against the potential cost of system down time.  It is stability that we ultimately desire and not absolute optimal performance. We do want the benefit from more accurate statistics and better query plans, but not at the risk of an unusable system. As a result, I've developed the following methodology around managing database statistics for the P6 database.  1. No Automatic Re-Gathering - The daily, weekly, or other interval of statistic gathering is unlikely to be beneficial. Quite the opposite. It is more likely to cause problems. 2. Smart Re-Gathering - The time to collect statistics is when things have changed significantly. For a new installation of P6, this is happening more often because the data is growing from a few rows to thousands and more. But for a mature system, the data is not changing significantly from week-to-week. There are times to collect statistics: New releases of the application Changes in the underlying hardware or software versions (ex. new Oracle RDBMS version) When additional user groups are added. The new groups may use the software in significantly different ways. After significant changes in the data. This may be monthly, quarterly or yearly.  3. Always Test - If you take away one thing from this post, it would be to always have a plan to test after changing statistics. In reality, statistics can be collected as often as you desire provided there are tests in place to verify that performance is the same or better. These might be automated tests or simply a manual script of application functions. 4. Have a Way Out - Never change the statistics without a way to return to the previous set. Think of the statistics as one part of the overall application code that also includes the source code--both application and RDBMS. It would be foolish to change to the new code without a way to get back to the previous version. In the final post, I will talk about the actual script I created for P6 PMDB and possible future direction for managing query performance. 

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  • Worse is better. Is there an example?

    - by J.F. Sebastian
    Is there a widely-used algorithm that has time complexity worse than that of another known algorithm but it is a better choice in all practical situations (worse complexity but better otherwise)? An acceptable answer might be in a form: There are algorithms A and B that have O(N**2) and O(N) time complexity correspondingly, but B has such a big constant that it has no advantages over A for inputs less then a number of atoms in the Universe. Examples highlights from the answers: Simplex algorithm -- worst-case is exponential time -- vs. known polynomial-time algorithms for convex optimization problems. A naive median of medians algorithm -- worst-case O(N**2) vs. known O(N) algorithm. Backtracking regex engines -- worst-case exponential vs. O(N) Thompson NFA -based engines. All these examples exploit worst-case vs. average scenarios. Are there examples that do not rely on the difference between the worst case vs. average case scenario? Related: The Rise of ``Worse is Better''. (For the purpose of this question the "Worse is Better" phrase is used in a narrower (namely -- algorithmic time-complexity) sense than in the article) Python's Design Philosophy: The ABC group strived for perfection. For example, they used tree-based data structure algorithms that were proven to be optimal for asymptotically large collections (but were not so great for small collections). This example would be the answer if there were no computers capable of storing these large collections (in other words large is not large enough in this case). Coppersmith–Winograd algorithm for square matrix multiplication is a good example (it is the fastest (2008) but it is inferior to worse algorithms). Any others? From the wikipedia article: "It is not used in practice because it only provides an advantage for matrices so large that they cannot be processed by modern hardware (Robinson 2005)."

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  • SQL Server 2008 Running trigger after Insert, Update locks original table

    - by Polity
    Hi Folks, I have a serious performance problem. I have a database with (related to this problem), 2 tables. 1 Table contains strings with some global information. The second table contains the string stripped down to each individual word. So the string is like indexed in the second table, word by word. The validity of the data in the second table is of less important then the validity of the data in the first table. Since the first table can grow like towards 1*10^6 records and the second table having an average of like 10 words for 1 string can grow like 1*10^7 records, i use a nolock in order to read the second this leaves me free for inserting new records without locking it (Expect many reads on both tables). I have a script which keeps on adding and updating rows to the first table in a MERGE statement. On average, the data beeing merged are like 20 strings a time and the scripts runs like ones every 5 seconds. On the first table, i have a trigger which is beeing invoked on a Insert or Update, which takes the newly inserted or updated data and calls a stored procedure on it which makes sure the data is indexed in the second table. (This takes some significant time). The problem is that when having the trigger disbaled, Reading the first table happens in a few ms. However, when enabling the trigger and your in bad luck of trying to read the first table while this is beeing updated, Our webserver gives you a timeout after 10 seconds (which is way to long anyways). I can quess from this part that when running the trigger, the first table is kept (partially) in a lock untill the trigger is completed. What do you think, if i'm right, is there a easy way around this? Thanks in advance! Cheers, Koen

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  • Seeking reporting or templating tool to generate large formatted PDF reports from dataset

    - by Mr. Tacos
    Say I have some data in MySQL or a big ole CSV file. I also have a report. It's a PDF, call it 100 pages long. I need to generate variations on this PDF for slices of the data. More specific example: I have a CSV file with each StackOverflow user in a row and each column contains various statistics about that user. I have a report called "Your StackOverflow Performance". Its got lots of text, always the same, but each section contains something like: "You Vs. The Average StackOverflow Poster on this metric". I want a table that appears there that has the average data, which is the same in every run of the PDF, in one column. In the second column, I want your data, which is different for each PDF/row in the CSV file/user of StackOverflow. I'm pretty sure people use things like Crystal for this? Is there something in MS SQL Server that's good for this? An open source template language? I'm not even really sure if what I need is called a 'reporting' tool (since I don't really need to do any crunching, the data in this case is being crunched by a series of scripts and SPSS, I don't need bands and subbands and so on) or 'templating'. Is there even such a thing as templating PDFs? Natch, I'd be fine with something that generates output easily scriptable to PDF, like eps, but not something like HTML. The report formatting is fussy and done and externally determined and handed down from on high. It's print-oriented, not webby. Thanks in advance.

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  • Temperature anomaly calculation of time series data

    - by neel
    I have a time series like following: Data <- structure(list(Year = c(1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1991L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L, 1992L), Month = c(8L, 9L, 9L, 9L, 10L, 10L, 10L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 8L, 8L, 8L, 9L, 9L, 9L, 10L, 10L, 10L, 11L, 11L, 11L, 12L, 12L, 12L), Day = c(30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 28L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L, 10L, 20L, 30L), Hour = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), temperature = c(72.5, 64, 62.5, 64, 64, 53, 52, 52, 45.5, 49, 50, 50, 59, 63.5, 69.5, 61, 61, NaN, NaN, 39.5, 37, 45.5, 45, 39, 43.5, 52, 53, 56, 64, 66, 66.5, 73.5, 81, 85, 89.5, 87.5, 88.5, 83, 84.5, 74, 60.5, 59, 53, 60.5, 62.5, 64.5, 63, 62, 65.5)), .Names = c("Year", "Month", "Day", "Hour", "temperature"), class = "data.frame", row.names = c(NA, -49L)) and I have to calculate standardized anomaly. The steps to calculate the anomalies are following: Monthly premature departures from the long-term (1991-2007) average are obtained. Then standardized by dividing by the standard deviation of monthly temperature. The standardized monthly anomalies are then weighted by multiplying by the fraction of the average temperature for the given month. These weighted anomalies are then summed over 3 month time period. Can you please help me?

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  • Pandas Dataframe add rows on top of dataframe

    - by yash.trojan.25
    I am trying to add blank rows on top of the pandas Dataframe data. Basically, some blank rows and some calculation for each row which contains calculations for Average etc. for that column. Can someone please help me how I can do this? From: A B D E F G H I J 0 -8 10 532 533 533 532 534 532 532 1 -8 12 520 521 523 523 521 521 521 2 -8 14 520 523 522 523 522 521 522 3 -4 2 526 527 527 528 528 527 529 4 -4 4 516 518 517 519 518 516 518 5 -4 6 528 529 530 531 530 528 530 6 -4 8 518 521 521 521 522 519 521 7 -4 10 524 525 525 525 525 524 524 8 -4 12 522 523 524 525 525 522 523 9 -2 2 525 526 527 527 527 525 527 10 -2 4 518 519 519 521 520 519 520 11 -2 6 520 522 522 522 522 520 523 12 -2 8 551 551 552 552 552 550 552 13 -2 10 533 534 535 536 535 534 535 14 -2 12 537 539 539 539 538 537 539 15 -2 14 528 530 530 531 530 529 530 16 -1 2 518 519 519 521 520 518 520 To: A B D E F G H I J Average 525.6 527.1 527.4 528.0 527.6 526.0 527.4 Sigma 8.6 8.3 8.5 8.1 8.3 8.3 8.4 Minimum 516 518 517 519 518 516 518 Maximum 551 551 552 552 552 550 552 0 -8 10 532 533 533 532 534 532 532 1 -8 12 520 521 523 523 521 521 521 2 -8 14 520 523 522 523 522 521 522 3 -4 2 526 527 527 528 528 527 529 4 -4 4 516 518 517 519 518 516 518 5 -4 6 528 529 530 531 530 528 530 6 -4 8 518 521 521 521 522 519 521 7 -4 10 524 525 525 525 525 524 524 8 -4 12 522 523 524 525 525 522 523 9 -2 2 525 526 527 527 527 525 527 10 -2 4 518 519 519 521 520 519 520 11 -2 6 520 522 522 522 522 520 523 12 -2 8 551 551 552 552 552 550 552 13 -2 10 533 534 535 536 535 534 535 14 -2 12 537 539 539 539 538 537 539 15 -2 14 528 530 530 531 530 529 530 16 -1 2 518 519 519 521 520 518 520

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