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  • Java - learning / migrating fast

    - by Yippie-Kai-Yay
    This is not one of those questions like "How do I learn Java extremely fast, I know nothing about programming, but I heard Java is cool, yo". I have an interview for a Java Software Developer in a couple of weeks and the thing is that I think that I know C++ really good and I am somewhat good at C# (like, here I can probably answer on a lot of questions related to these languages), but I have almost zero experience with Java. I have a lot of projects written in both languages, I participiated in several open-source projects (mostly C++, though). Now, what should I do (in your opinion) to prepare myself for this Java interview. I guess migrating from C# to Java should be kind of fast, especially when you know a lot about programming in global, patterns, modern techniques and have a lot of practical experience behind you. But still two weeks is obviously not enough to get Java in-depth - so what should I focus on to have the best chances to pass the interview? Thank you.

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  • Fast Data: Go Big. Go Fast.

    - by J Swaroop
    Cross-posting Dain Hansen's excellent recap of the Big Data/Fast Data announcement during OOW: For those of you who may have missed it, today’s second full day of Oracle OpenWorld 2012 started with a rumpus. Joe Tucci, from EMC outlined the human face of big data with real examples of how big data is transforming our world. And no not the usual tried-and-true weblog examples, but real stories about taxi cab drivers in Singapore using big data to better optimize their routes as well as folks just trying to get a better hair cut. Next we heard from Thomas Kurian who talked at length about the important platform characteristics of Oracle’s Cloud and more specifically Oracle’s expanded Cloud Services portfolio. Especially interesting to our integration customers are the messaging support for Oracle’s Cloud applications. What this means is that now Oracle’s Cloud applications have a lightweight integration fabric that on-premise applications can communicate to it via REST-APIs using Oracle SOA Suite. It’s an important element to our strategy at Oracle that supports this idea that whether your requirements are for private or public, Oracle has a solution in the Cloud for all of your applications and we give you more deployment choice than any vendor. If this wasn’t enough to get the juices flowing, later that morning we heard from Hasan Rizvi who outlined in his Fusion Middleware session the four most important enterprise imperatives: Social, Mobile, Cloud, and a brand new one: Fast Data. Today, Rizvi made an important step in the definition of this term to explain that he believes it’s a convergence of four essential technology elements: Event Processing for event filtering, business rules – with Oracle Event Processing Data Transformation and Loading - with Oracle Data Integrator Real-time replication and integration – with Oracle GoldenGate Analytics and data discovery – with Oracle Business Intelligence Each of these four elements can be considered (and architect-ed) together on a single integrated platform that can help customers integrate any type of data (structured, semi-structured) leveraging new styles of big data technologies (MapReduce, HDFS, Hive, NoSQL) to process more volume and variety of data at a faster velocity with greater results.  Fast data processing (and especially real-time) has always been our credo at Oracle with each one of these products in Fusion Middleware. For example, Oracle GoldenGate continues to be made even faster with the recent 11g R2 Release of Oracle GoldenGate which gives us some even greater optimization to Oracle Database with Integrated Capture, as well as some new heterogeneity capabilities. With Oracle Data Integrator with Big Data Connectors, we’re seeing much improved performance by running MapReduce transformations natively on Hadoop systems. And with Oracle Event Processing we’re seeing some remarkable performance with customers like NTT Docomo. Check out their upcoming session at Oracle OpenWorld on Wednesday to hear more how this customer is using Event processing and Big Data together. If you missed any of these sessions and keynotes, not to worry. There's on-demand versions available on the Oracle OpenWorld website. You can also checkout our upcoming webcast where we will outline some of these new breakthroughs in Data Integration technologies for Big Data, Cloud, and Real-time in more details.

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  • Java - learning / migrating fast

    - by Yippie-Kai-Yay
    Hello! This is not one of those questions like "How do I learn Java extremely fast, I know nothing about programming, but I heard Java is cool, yo". I have an interview for a Java Software Developer in a couple of weeks and the thing is that I think that I know C++ really good and I am somewhat good at C# (like, here I can probably answer on a lot of questions related to these languages), but I have almost zero experience with Java. I have a lot of projects written in both languages, I participiated in several open-source projects (mostly C++, though). Now, what should I do (in your opinion) to prepare myself for this Java interview. I guess migrating from C# to Java should be kind of fast, especially when you know a lot about programming in global, patterns, modern techniques and have a lot of practical experience behind you. But still two weeks is obviously not enough to get Java in-depth - so what should I focus on to have the best chances to pass the interview? Thank you.

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  • Fast set indexing data structure for superset retrieval

    - by Asterios
    I am given a set of sets: {{a,b}, {a,b,c}, {a,c}, {a,c,f}} I would like to have a data structure to index those sets such that the following "lookup" is executed fast: find all supersets of a given set. For example, given the set {a,c} the structure would return {{a,b,c}, {a,c,f}, {a,c}} but not {a,b}. Any suggestions? Could this be done with a smart trie-like data structure storing sets after a proper sorting? This data structures is going to be queried a lot. Thus, I'm searching for a structure that might be expensive in build but rather fast to query.

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  • Implement Fast Inverse Square Root in Javascript?

    - by BBz
    The Fast Inverse Square Root from Quake III seems to use a floating-point trick. As I understand, floating-point representation can have some different implementations. So is it possible to implement the Fast Inverse Square Root in Javascript? Would it return the same result? float Q_rsqrt(float number) { long i; float x2, y; const float threehalfs = 1.5F; x2 = number * 0.5F; y = number; i = * ( long * ) &y; i = 0x5f3759df - ( i >> 1 ); y = * ( float * ) &i; y = y * ( threehalfs - ( x2 * y * y ) ); return y; }

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  • fast java2d translucency

    - by mdriesen
    I'm trying to draw a bunch of translucent circles on a Swing JComponent. This isn't exactly fast, and I was wondering if there is a way to speed it up. My custom JComponent has the following paintComponent method: public void paintComponent(Graphics g) { Rectangle view = g.getClipBounds(); VolatileImage image = createVolatileImage(view.width, view.height); Graphics2D buffer = image.createGraphics(); // translate to camera location buffer.translate(-cx, -cy); // renderables contains all currently visible objects for(Renderable r : renderables) { r.paint(buffer); } g.drawImage(image.getSnapshot(), view.x, view.y, this); } The paint method of my circles is as follows: public void paint(Graphics2D graphics) { graphics.setPaint(paint); graphics.fillOval(x, y, radius, radius); } The paint is just an rgba color with a < 255: Color(int r, int g, int b, int a) It works fast enough for opaque objects, but is there a simple way to speed this up for translucent ones?

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  • Clock running too fast

    - by sBlatt
    I'm currently (for some days now) having the problem, that my Ubuntu clock runs to fast. and by to fast I mean like: last time I adjusted it was at 4 PM, now (10:25 PM) it shows 10:57 PM ! Any ideas how to fix that? Could it have something to do with handbrake? (I'm currently ripping my DVD collection, so handbrake is always running). My System: Ubuntu 10.4, all updates, handbrake from getdeb (0.9.4 I think), Intel Core2Quad, 4 GB Ram, NVidia GTX 260 (195.36.24 according to nvidia-settings) thx for any help Edit: dmesg: http://pastebin.com/VAanad5E /proc/interrupts: http://pastebin.com/VAZLAHzR cmdline: BOOT_IMAGE=/boot/vmlinuz-2.6.32-24-generic root=UUID=082d6800-413b-43d7-b4d1-b96b0d774f32 ro quiet splash

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  • Is there any super fast algorithm for finding LINES on picture?

    - by Ole Jak
    So I have Image like this I need some super fast algorithm for finding all straight lines on it. I want to give to algorithm parameters like min length and max line distortion. I want to get relative to picture pixel coords start and end points of lines. So on this picture to find all lines between dalles and thouse 2 black lines on top. So I need algorithm for super fast finding straight lines of different colors on picture. Is there any such algorithm? (super duper fast=)

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  • How can I fast-forward a single git commit, programmatically?

    - by Norman Ramsey
    I periodically get message from git that look like this: Your branch is behind the tracked remote branch 'local-master/master' by 3 commits, and can be fast-forwarded. I would like to be able to write commands in a shell script that can do the following: How can I tell if my current branch can be fast-forwarded from the remote branch it is tracking? How can I tell how many commits "behind" my branch is? How can I fast-forward by just one commit, so that for example, my local branch would go from "behind by 3 commits" to "behind by 2 commits"? (For those who are interested, I am trying to put together a quality git/darcs mirror.)

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  • Making user input/math on data fast, unlike excel type programs

    - by proGrammar
    I'm creating a research platform solely for myself to do some research on data. Programs like excel are terribly slow for me so I'm trying to come up with another solution. Originally I used excel. A1 was the cell that contained the data and all other cells in use calculated something on A1, or on other cells, that all could be in the end traced to A1. A1 was like an element of an array, I then I incremented it to go through all my data. This was way too slow. So the only other option I found originally was to hand code in c# the calculations inside a loop. Then I simply recompiled each time I changed my math. This was terribly slow to do and I had to order everything correctly so things would update correctly (dependencies). I could have also used events, but hand coding events for each cell like calculation would also be very slow. Next I created an application to read Excel and to perfectly imitate it. Which is what I now use. Basically I write formulas onto a fraction of my data to get live results inside excel. Then my program reads excel, writes another c# program, compiles it, and runs that program which runs my excel created formulas through a lot more data a whole lot faster. The advantage being my application dependency sorts everything (or I could use events) so I don't have to (like excel does) And of course the speed. But now its not a single application anymore. Instead its 2 applications, one which only reads my formulas and writes another program. The other one being the result which only lives for a short while before I do other runs through my data with different formulas / settings. So I can't see multiple results at one time without introducing even more programs like a database or at least having the 2 applications talking to each other. My idea was to have a dll that would be written, compiled, loaded, and unloaded again and again. So a self-updating program, sort of. But apparently that's not possible without another appdomain which means data has to be marshaled to be moved between the appdomains. Which would slow things down, not for summaries, but for other stuff I need to do with all my data. I'm also forgetting to mention a huge problem with restarting an application again and again which is having to reload ALL my data into memory again and again. But its still a whole lot faster than excel. I'm really super puzzled as to what people do when they want to research data fast. I'm completely unable to have a program accept user input and having it fast. My understanding is that it would have to do things like excel which is to evaluate strings again and again. So my only option is to repeatedly compile applications. Do I have a correct understanding on computer science? I've only just began programming, and didn't think I would have to learn much to do some simple math on data. My understanding is its either compiling my user defined stuff to a program or evaluating them from a string or something stupid again and again. And my only option is to probably switch operating systems or something to be able to have a program compile and run itself without stopping (writing/compiling dll, loading dll to program, unloading, and repeating). Can someone give me some idea on how computers work? Is anything better possible? Like a running program, that can accept user input and compile it and then unload it later? I mean heck operating systems dont need to be RESTARTED with every change to user input. What is this the cave man days? Sorry, it's just so super frustrating not knowing what one can do, and can't do. If only I could understand and learn this stuff fast enough.

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  • TechEd 2012: Fast SQL Server

    - by Tim Murphy
    While I spend a certain amount of my time creating databases (coding around SQL Server and setup a server when I have to) it isn’t my bread and butter.  Since I have run into a number of time that SQL Server needed to be tuned I figured I would step out of my comfort zone and see what I can learn. Brent Ozar packed a mountain of information into his session on making SQL Server faster.  I’m not sure how he found time to hit all of his points since he was allowing the audience abuse him on Twitter instead of asking questions, but he managed it.  I also questioned his sanity since he appeared to be using a fruit laptop. He had my attention though when he stated that he had given up on telling people to not use “select *”. He posited that it could be fixed with hardware by caching the data in memory.  He continued by cautioning that having too many indexes could defeat this approach.  His logic was sound if not always practical, but it was a good place to start when determining the trade-offs you need to balance.  He was moving pretty fast, but I believe he was prescribing this solution predominately for OLTP database prior to moving on to data warehouse solutions. Much of the advice he gave for data warehouses is contained in the Microsoft Fast Track guidance so I won’t rehash it here.  To summarize the solution seems to be the proper balance memory, disk access speed and the speed of the pipes that get the data from storage to the CPU.  It appears to be sound guidance and the session gave enough information that going forward we should be able to find the details needed easily.  Just what the doctor ordered. del.icio.us Tags: SQL Server,TechEd,TechEd 2012,Database,Performance Tuning

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  • Email provider - suggestions needed

    - by Christian Fazzini
    We are looking for a good way to have email support. In theory, we need to allow end-users to send emails directly to support and careers. i.e. support@domain_name_here.com and careers@domain_name_here.com. Second, we need to provide emails to our staff. So each staff member has their own email address. i.e. joe@domain_name_here.com, meghan@domain_name_here.com, etc. Google Apps is one that we are considering. However, they are charging $50 per user, per year. Not so bad, considering the quality and the features they offer. However, there are also cheaper alternatives. i.e. my domain registrar offers an email plan for $20 / year / 10 emails. Go Daddy has a number of plans and still a lot more affordable than Google Apps. So far Namecheap and Go Daddy are the only ones I have looked at for email plans. Is it worth signing up with Google Apps? Or are there better alternatives? Your thoughts?

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  • Search files blazing fast

    If you know there is a file somewhere on your machine, but you cannot find it with the default Windows Search Tools (that why they tend to call it Windows Search and not Windows Find ) then switch to a tool that really works. Go to http://www.voidtools.com/ to download your copy of Everything. The download is only small (350KB), it indexes fast (within 5 mins) and searches my complete computer even faster then I can type. I only blame David Carpenter for not spreading the word more aggressively and for not developing this earlier.

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  • The Fast Guide to Application Profiling

    In this sample chapter from his recently released book (co-Authored with Paul Glavich) Chris Farrell gives us a fast overview of performance profiling, memory profiling, profiling tools, and in fact everything we need to know when it comes to profiling our applications. This is a great first step, and The Complete Guide to .NET Performance Testing and Optimization is crammed with even more indispensable knowledge.

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  • Slow in the Application but Fast in SQL Server Management Studio - from Erland

    - by Greg Low
    Our MVP buddy Erland Sommarskog doesn't post articles that often but when he does, you should read them. His latest post is here: http://www.sommarskog.se/query-plan-mysteries.html It talks about why a query might be slow when sent from an application but fast when you execute it in SSMS. But it covers way more than that. There is a great deal of good info on how queries are executed and query plans generated. Highly recommended!...(read more)

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  • Book Review: Fast Track to MDX

    - by Greg Low
    Another book that I re-read while travelling last week was Fast Track to MDX . I still think that it's the best book that I've seen for introducing the core concepts of MDX. SolidQ colleague Mark Whitehorn, along with Mosha Pasumansky and Robert Zare do an amazing job of building MDX knowledge throughout the book. I had dinner with Mark in London a few years back and I was pestering him to update this book. The biggest limitation of the book is that it was written for SQL Server 2000 Analysis Services,...(read more)

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  • How Linux Saved A Fast Food Giant

    <b>Holy Crap My Hair is on Fire:</b> "Linux saved me and the company I sub contract to, a large fast food giant, from near-total disaster. Last month McAfee posted a virus definition update that flagged SVCHOST.EXE as a virus. This is my story of what happened."

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  • How to Get Indexed in Google Fast

    Is your site listed or indexed in Google? If not then you need to get it indexed fast as Google accounts for some 90% of all internet searches. So without being in Google you might as well pack up and go home right now.

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  • Die Fast / Flashback Recovery Area (FRA)

    - by Sebastian Solbach (DBA Community)
    In der Vergangenheit waren Informationen zur Fast Recovery Area (kurz FRA) bzw. Flashback Recovery Area, wie die FRA for 11gR2 benannt wurde, immer mal wieder in den einzelnen DBA Community Tipps enthalten, wenn dies gerade zum Thema passte oder für den Tipp relevant waren. Aus aktuellem Anlass haben wir uns deswegen entschlossen, die Informationen zur FRA im heutigen DBA Community Tipp  zu bündeln, damit man sofort eine Übersicht erhält und die automatischen Mechanismen innerhalb der FRA versteht. Zum Tipp.

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  • How to make my website loads fast [duplicate]

    - by Garva Sharma
    This question already has an answer here: Ideas to improve website loading speed? 1 answer this is my website nxttech.org and it loads really slow so please review it and tell me what can i do with it to make it faster. And my websites some pages loads fast while some loads really slow so what is this does this is normal for a website or it is issue with my hosting service.

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