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  • Free Book from Microsoft - Testing for Continuous Delivery with Visual Studio 2012

    - by TATWORTH
    Originally posted on: http://geekswithblogs.net/TATWORTH/archive/2013/10/16/free-book-from-microsoft---testing-for-continuous-delivery-with.aspxAt  http://msdn.microsoft.com/en-us/library/jj159345.aspx, Microsoft have made available a free e-book - Testing for Continuous Delivery with Visual Studio 2012 "As more software projects adopt a continuous delivery cycle, testing threatens to be the bottleneck in the process. Agile development frequently revisits each part of the source code, but every change requires a re-test of the product. While the skills of the manual tester are vital, purely manual testing can't keep up. Visual Studio 2012 provides many features that remove roadblocks in the testing and debugging process and also help speed up and automate re-testing."

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  • What's So Smart About Oracle Exadata Smart Flash Cache?

    - by kimberly.billings
    Want to know what's so "smart" about Oracle Exadata Smart Flash Cache? This three minute video explains how Oracle Exadata Smart Flash Cache helps solve the random I/O bottleneck challenge and delivers extreme performance for consolidated database applications. Exadata Smart Flash Cache is a feature of the Sun Oracle Database Machine. With it, you get ten times faster I/O response time and use ten times fewer disks for business applications from Oracle and third-party providers. Read the whitepaper for more information. var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • Talend Enterprise Data Integration overperforms on Oracle SPARC T4

    - by Amir Javanshir
    The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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  • Infiniband: a highperformance network fabric - Part I

    - by Karoly Vegh
    Introduction:At the OpenWorld this year I managed to chat with interesting people again - one of them answering Infiniband deepdive questions with ease by coffee turned out to be one of Oracle's IB engineers, Ted Kim, who actually actively participates in the Infiniband Trade Association and integrates Oracle solutions with this highspeed network. This is why I love attending OOW. He granted me an hour of his time to talk about IB. This post is mostly based on that tech interview.Start of the actual post: Traditionally datatransfer between servers and storage elements happens in networks with up to 10 gigabit/seconds or in SANs with up to 8 gbps fiberchannel connections. Happens. Well, data rather trickles through.But nowadays data amounts grow well over the TeraByte order of magnitude, and multisocket/multicore/multithread Servers hunger data that these transfer technologies just can't deliver fast enough, causing all CPUs of this world do one thing at the same speed - waiting for data. And once again, I/O is the bottleneck in computing. FC and Ethernet can't keep up. We have half-TB SSDs, dozens of TB RAM to store data to be modified in, but can't transfer it. Can't backup fast enough, can't replicate fast enough, can't synchronize fast enough, can't load fast enough. The bad news is, everyone is used to this, like back in the '80s everyone was used to start compile jobs and go for a coffee. Or on vacation. The good news is, there's an alternative. Not so-called "bleeding-edge" 8gbps, but (as of now) 56. Not layers of overhead, but low latency. And it is available now. It has been for a while, actually. Welcome to the world of Infiniband. Short history:Infiniband was born as a result of joint efforts of HPAQ, IBM, Intel, Sun and Microsoft. They planned to implement a next-generation I/O fabric, in the 90s. In the 2000s Infiniband (from now on: IB) was quite popular in the high-performance computing field, powering most of the top500 supercomputers. Then in the middle of the decade, Oracle realized its potential and used it as an interconnect backbone for the first Database Machine, the first Exadata. Since then, IB has been booming, Oracle utilizes and supports it in a large set of its HW products, it is the backbone of the famous Engineered Systems: Exadata, SPARC SuperCluster, Exalogic, OVCA and even the new DB backup/recovery box. You can also use it to make servers talk highspeed IP to eachother, or to a ZFS Storage Appliance. Following Oracle's lead, even IBM has jumped the wagon, and leverages IB in its PureFlex systems, their first InfiniBand Machines.IB Structural Overview: If you want to use IB in your servers, the first thing you will need is PCI cards, in IB terms Host Channel Adapters, or HCAs. Just like NICs for Ethernet, or HBAs for FC. In these you plug an IB cable, going to an IB switch providing connection to other IB HCAs. Of course you're going to need drivers for those in your OS. Yes, these are long-available for Solaris and Linux. Now, what protocols can you talk over IB? There's a range of choices. See, IB isn't accepting package loss like Ethernet does, and hence doesn't need to rely on TCP/IP as a workaround for resends. That is, you still can run IP over IB (IPoIB), and that is used in various cases for control functionality, but the datatransfer can run over more efficient protocols - like native IB. About PCI connectivity: IB cards, as you see are fast. They bring low latency, which is just as important as their bandwidth. Current IB cards run at 56 gbit/s. That is slightly more than double of the capacity of a PCI Gen2 slot (of ~25 gbit/s). And IB cards are equipped usually with two ports - that is, altogether you'd need 112 gbit/s PCI slots, to be able to utilize FDR IB cards in an active-active fashion. PCI Gen3 slots provide you with around ~50gbps. This is why the most IB cards are configured in an active-standby way if both ports are used. Once again the PCI slot is the bottleneck. Anyway, the new Oracle servers are equipped with Gen3 PCI slots, an the new IB HCAs support those too. Oracle utilizes the QDR HCAs, running at 40gbp/s brutto, which translates to a 32gbp/s net traffic due to the 10:8 signal-to-data information ratio. Consolidation techniques: Technology never stops to evolve. Mellanox is working on the 100 gbps (EDR) version already, which will be optical, since signal technology doesn't allow EDR to be copper. Also, I hear you say "100gbps? I will never use/need that much". Are you sure? Have you considered consolidation scenarios, where (for example with Oracle Virtual Network) you could consolidate your platform to a high densitiy virtualized solution providing many virtual 10gbps interfaces through that 100gbps? Technology never stops to evolve. I still remember when a 10mbps network was impressively fast. Back in those days, 16MB of RAM was a lot. Now we usually run servers with around 100.000 times more RAM. If network infrastrucure speends could grow as fast as main memory capacities, we'd have a different landscape now :) You can utilize SRIOV as well for consolidation. That is, if you run LDoms (aka Oracle VM Server for SPARC) you do not have to add physical IB cards to all your guest LDoms, and you do not need to run VIO devices through the hypervisor either (avoiding overhead). You can enable SRIOV on those IB cards, which practically virtualizes the PCI bus, and you can dedicate Physical- and Virtual Functions of the virtualized HCAs as native, physical HW devices to your guests. See Raghuram's excellent post explaining SRIOV. SRIOV for IB is supported since LDoms 3.1.  This post is getting lengthier, so I will rename it to Part I, and continue it in a second post. 

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  • St. Louis IT Community Holiday Party

    - by Scott Spradlin
    The St. Louis .NET User Group is hosting a holiday party this year for the very first time in our 10 year history. The event will be held at the Bottleneck Blues Bar at the Ameristar Casino in St. Charles. It will be an open house style event meaning you can drop by any time from 6:00pm to 9:00pm and enjoy the Unhandled Exceptions...the band that played at the St. Louis Day of .NET 2011. $5.00 at the door gets you in and goes to support a local charity The Backstoppers. If you cannot come, you can make a donation online. Details at our group web site HTTP://www.stlnet.org

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  • What's the most efficient way to find barycentric coordinates?

    - by bobobobo
    In my profiler, finding barycentric coordinates is apparently somewhat of a bottleneck. I am looking to make it more efficient. It follows the method in shirley, where you compute the area of the triangles formed by embedding the point P inside the triangle. Code: Vector Triangle::getBarycentricCoordinatesAt( const Vector & P ) const { Vector bary ; // The area of a triangle is real areaABC = DOT( normal, CROSS( (b - a), (c - a) ) ) ; real areaPBC = DOT( normal, CROSS( (b - P), (c - P) ) ) ; real areaPCA = DOT( normal, CROSS( (c - P), (a - P) ) ) ; bary.x = areaPBC / areaABC ; // alpha bary.y = areaPCA / areaABC ; // beta bary.z = 1.0f - bary.x - bary.y ; // gamma return bary ; } This method works, but I'm looking for a more efficient one!

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  • Right multi object dependance design

    - by kenny
    I need some help with a correct design. I have a class called BufferManager. The push() method of this class reads data from a source and pushes it to a buffer repeatedly until there is no more data left in the source. There are also consumer threads that read data from this buffer, as soon as new data arrives. There is an option to sort the data before it comes to buffer. What I do right now is that BufferManager, instead of pushing data to the buffer, pushes it to another "sorting" buffer and starts a sorting thread. SorterManager class reads the data, sorts it in files and push()es the sorted data into the buffer. There will be a bottleneck (I use merge sort with files) but this is something I can't avoid. This is a bad design, because both BufferManager and SorterManager push data to a buffer (that consumers read from). I think only BufferManager should do it. How can I design it?

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  • .NET Compiler Platform (Roslyn) , its relevance to developer community and its performance? [on hold]

    - by jerriclynsjohn
    I'm just starting out with a Code-Quality-plugin development for my organization based on the recently released .NET Compiler Platform APIs (Roslyn APIs). I would like to know what are the most relevant possible ways that it could be used by the developer community apart from the usual IDE experience as answered in other questions. I was wondering the implications of opening up a compiler to general public and never came across anything "breakthrough", that could possibly add up to the value of IDE experiences. Is there any performance bottleneck for its implementation since the compiler itself is managed code?

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  • KVM guest disk performance

    - by Alex
    My KVM guest does max. 200MB/s although the host does easily 700MB/s (Raid 0 with 4 SSDs). Configuration: File-based storage (raw), cache none. Host 24 cores, 96GB ram, Ubuntu 12.04.1 LTS and virt-manager. I suspect the CPU to be the bottleneck (one core goes up during hdparm). Anyone experienced the same or has an explanation ? Edit: one more info: guest is the same as host (Ubuntu 12). Same poor disk performance observed with Windows 2008 R2 and Suse Enterprise Linux (9 or 10 I think). Max 1 guest running.

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  • Game has noticeable frame drops but when through a profiler it always runs smooth

    - by felipedrl
    I'm trying to optimize my PC game but I can find the bottleneck since every time I run it through a profiler (gDEBugger) it runs smooths. When running outside gDEBugger I get these annoying hiccups. It's not just the graphics, the sound also gets choppy. The drops are inconsistent across runs, i.e, sometimes I run the same scenario and get no drops at all, sometimes I get a few drops, and others the game is consistently slow. The only constant is: when running through gDEBugger I ALWAYS get a smooth run. I'm suspecting something outside my game is interfering and causing these drops, but what in the hell does gDEBugger do that nullifies these drops? A higher process priority? Any ideas? Thanks in advance.

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  • What is the ideal laptop for creative coding applications?

    - by Jason
    Hi, I am a creative coder using C++(cinder and OpenFrameworks) I am looking to upgrade from my MacBook, which slowed down to about 3fps this morning. My project involves particles systems and fluids reacting to audio analysis data and computer vision data in real-time. SD or HD? no biggie. I have asked many people what computer I need. Ideally, I want a MacBook Pro. But is that enough power? I've been told that I need a desktop for what I am doing though I'd rather stay portable I've been told that I should go PC linux to get the most power but I'd rather stay mac I've been told that RAM is more of bottleneck than processor speed I've been told that the Graphics Card is more important than CPU and that code optimizations such as using trees over lists, proper threading, sending tasks to the GPU make a bigger difference than the hardware!!! what's true?! what do I need? Any suggestions are greatly appreciated

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  • What makes an application memory bandwidth bound?

    - by TheLQ
    This has been something that's been bothering me for a while: What makes an application memory bandwidth bound? For example, take this monstrosity of a computer that calculated the 5 trillionth digit of pi (and later 10 trillionth digit). I was surprised that they choose the lower but faster 98 GB RAM at 1066 MHz instead of the larger but slower 144 GB at 800 MHz. This is especially surprising considering they are using 22 TB HD array to store the results from computation; more RAM means less need for hard drives. Maybe its because I don't write applications for HPC servers, but how would RAM be the bottleneck? Are there any other non-HPC applications that usually run into this problem?

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  • Free E-Book - Testing for Continuous Delivery with Visual Studio 2012

    - by TATWORTH
    Originally posted on: http://geekswithblogs.net/TATWORTH/archive/2013/11/05/free-e-book---testing-for-continuous-delivery-with-visual-studio.aspx At http://msdn.microsoft.com/en-us/library/jj159345.aspx, Microsoft Press are offering the free e-Book, Testing for Continuous Delivery with Visual Studio 2012. "As more software projects adopt a continuous delivery cycle, testing threatens to be the bottleneck in the process. Agile development frequently revisits each part of the source code, but every change requires a re-test of the product. While the skills of the manual tester are vital, purely manual testing can't keep up. Visual Studio 2012 provides many features that remove roadblocks in the testing and debugging process and also help speed up and automate re-testing. " (Please ignore the click to look inside!)

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  • What stack of technologies should I use for my online game?

    - by Vee Bee
    I built a TicTacToe game to learn the .Net MVC3 framework. The basic functionality works (display board, make a move, detect winning move etc.) What I'd like to do is make it a "real" application - well-architected and using the right technology at the right layer. For instance, I'm currently saving every move to the database via a service call, which feels klugey and may become a bottleneck if this was an MMO game. How do you determine a good architecture (or right set of technologies) to use in a situation like this? I'd like to learn not just what to do, but why certain decisions are better than others. I noticed a similar thread here but it just offered opinions without explaining WHY something would be better (e.g. why Node instead of MVC3, etc.)

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  • What is the most reliable session storage in PHP: Memcache, database or files?

    - by user1179459
    What is the best and most safest way to handle PHP sessions. Is the best way to store sessions in: Database (more reliable, but high bottleneck, slow speed, not good for high database usage websites)? Memcache (super fast, but distributed more security problems, chances of loosing data when the server restarted and chances of loosing data when the cache is full)? Files (default option, I guess slow since it reads and writes from file I/O, less security, etc). Which method is the best? What are the problems and good things of each of those approaches?

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  • How to you solve the problem of implicit locking and parallel execution?

    - by Eonil
    Where the code is: function A() { lock() doSomething() unlock() } We can call A safely from multiple threads, but it never be executed in parallel . For parallel execution, we have to evade all of this code. But the problem is we never know the A is getting lock or not. If we have source code (maybe lucky case), we have to decode all code to know locking is happening or not. This sucks. But even worse is we normally have no source code. It's obvious this kind of hidden locks will become bottleneck of parallel execution even all the other parts are designed for parallel. And also, (1) With locks, execution cannot be parallel. (2) And I can't know whether the locks are used or not in any code. (3) Defensively, I can't make parallel anything! This facts drives me crazy. How do you solve this problem?

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  • Free ebook: Troubleshooting SQL Server: A Guide for the Accidental DBA

    We spend much of our working life helping solve SQL Server-related performance problems, hands-on, during consulting, or on online forums. We've seen a few weird-and-wonderful issues but, mainly, it’s the same problems and misconceptions time-and-again. This is our attempt to describe, diagnose, and solve the most common problems with SQL Server 2005, 2008, and 2008 R2. And it's free. "It really helped us isolate where we were experiencing a bottleneck"- John Q Martin, SQL Server DBA. Get started with SQL Monitor today to solve tricky performance problems - download a free trial

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  • Any recommended java profiling tutorial?

    - by Wing C. Chen
    Is there any recommended java application profiling tutorial? I am now using jProfiler and eclipse TPTP with my profiling. However, although equipped with wonderful weapons, as a newbie in java profiling, I am still missing the general theory and skill in pinpointing the bottleneck. So would you please provide me with some recommended tutorial for java profiling?

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  • Optimizing UITableView

    - by Daniel Granger
    I have a UITableview made up with a custom cell loaded from a nib. This custom cell has 9 UILabel s and thats all. When scrolling the table on my iPhone the tables scrolling motion is slightly jerky, its not as smooth as other tableviews! (On the simulator it scrolls fine but I guess its using the extra power of my mac) Are there any tips to help optimize this or any tableview or methods to help find the bottleneck. Many Thanks

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  • JIT-ing on FPGAs ?

    - by anon
    Many VMS, JVM/LLVM/... have JITs -- as the code is being interpreted, x86 instructions are created on the fly and executed. If there something similar to this for FPGAS? Is there someway where as an FPGA is running, I reconfigure it? [If so, please provide project / paper links. If not, what is the technology bottleneck that prevents this from happening?] Thanks!

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  • Are GUIDs the ultimate ID?

    - by mafutrct
    I noticed some people don't bother having the usual incremented number as ID but instead simply generate a GUID. The advantages include: Quick and easy No need to keep track of previous IDs Guaranteed to be unique even across machines without knowledge of each other Some disadvantages are: Possibly performance bottleneck Uses a large number of bytes My understanding is that using a GUID is beneficial in most cases, except if optimization for time or space is an issue. Did I miss something? Or do you agree with this idea?

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  • Find slow/ineffecient method calls in dotnet

    - by Matt Thrower
    Hi, I'm faced with a big old stack of method calls in some legacy code, one or some of which is creating a bottleneck and really slowing things down. Is there any quick way I can get a report on which method calls are taking the time, short of running in debug, stepping through and seeing where the cursor pauses?

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  • Imploding nested arrays

    - by Alex Zylman
    Hey guys, If I have an array structured like this: $array[index]['first_name'] $array[index]['last_name'] Is there an easy way to implode it into something like first_name last_name,first_name last_name, etc. for all the indices? Implode didn't seem to do what I wanted for something like this. Currently I'm just looping over the whole thing, but it's a SIGNIFICANT bottleneck.

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  • Example of moving from MySQL to NoSQL?

    - by OverTheRainbow
    Hello, For a Facebook-like site, ie. which is write-intensive and delivers user-customized pages, I'd like to build a prototype to investigate whether the document-centric NoSQL architecture would be a good alternative to sharding and reduce the load on the single master (+ multiple slaves) that we currently use and is the bottleneck. Does someone know of a good article that would give actual, simple examples of going from a relational layout in MySQL to a NoSQL layout? Thank you.

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