Search Results

Search found 4944 results on 198 pages for 'multi threaded'.

Page 64/198 | < Previous Page | 60 61 62 63 64 65 66 67 68 69 70 71  | Next Page >

  • Core dump of a multithreaded program

    - by benjamin button
    Hi, i have regularly worked with single threaded programs. i never saw a multithreded program crashing since i havent worked on any. is there any difference between both teh core dumps? is there any additional information provided in the core dump of a multithreaded program when compared to a single threaded program?

    Read the article

  • MySQL Cluster 7.2: Over 8x Higher Performance than Cluster 7.1

    - by Mat Keep
    0 0 1 893 5092 Homework 42 11 5974 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary The scalability enhancements delivered by extensions to multi-threaded data nodes enables MySQL Cluster 7.2 to deliver over 8x higher performance than the previous MySQL Cluster 7.1 release on a recent benchmark What’s New in MySQL Cluster 7.2 MySQL Cluster 7.2 was released as GA (Generally Available) in February 2012, delivering many enhancements to performance on complex queries, new NoSQL Key / Value API, cross-data center replication and ease-of-use. These enhancements are summarized in the Figure below, and detailed in the MySQL Cluster New Features whitepaper Figure 1: Next Generation Web Services, Cross Data Center Replication and Ease-of-Use Once of the key enhancements delivered in MySQL Cluster 7.2 is extensions made to the multi-threading processes of the data nodes. Multi-Threaded Data Node Extensions The MySQL Cluster 7.2 data node is now functionally divided into seven thread types: 1) Local Data Manager threads (ldm). Note – these are sometimes also called LQH threads. 2) Transaction Coordinator threads (tc) 3) Asynchronous Replication threads (rep) 4) Schema Management threads (main) 5) Network receiver threads (recv) 6) Network send threads (send) 7) IO threads Each of these thread types are discussed in more detail below. MySQL Cluster 7.2 increases the maximum number of LDM threads from 4 to 16. The LDM contains the actual data, which means that when using 16 threads the data is more heavily partitioned (this is automatic in MySQL Cluster). Each LDM thread maintains its own set of data partitions, index partitions and REDO log. The number of LDM partitions per data node is not dynamically configurable, but it is possible, however, to map more than one partition onto each LDM thread, providing flexibility in modifying the number of LDM threads. The TC domain stores the state of in-flight transactions. This means that every new transaction can easily be assigned to a new TC thread. Testing has shown that in most cases 1 TC thread per 2 LDM threads is sufficient, and in many cases even 1 TC thread per 4 LDM threads is also acceptable. Testing also demonstrated that in some instances where the workload needed to sustain very high update loads it is necessary to configure 3 to 4 TC threads per 4 LDM threads. In the previous MySQL Cluster 7.1 release, only one TC thread was available. This limit has been increased to 16 TC threads in MySQL Cluster 7.2. The TC domain also manages the Adaptive Query Localization functionality introduced in MySQL Cluster 7.2 that significantly enhanced complex query performance by pushing JOIN operations down to the data nodes. Asynchronous Replication was separated into its own thread with the release of MySQL Cluster 7.1, and has not been modified in the latest 7.2 release. To scale the number of TC threads, it was necessary to separate the Schema Management domain from the TC domain. The schema management thread has little load, so is implemented with a single thread. The Network receiver domain was bound to 1 thread in MySQL Cluster 7.1. With the increase of threads in MySQL Cluster 7.2 it is also necessary to increase the number of recv threads to 8. This enables each receive thread to service one or more sockets used to communicate with other nodes the Cluster. The Network send thread is a new thread type introduced in MySQL Cluster 7.2. Previously other threads handled the sending operations themselves, which can provide for lower latency. To achieve highest throughput however, it has been necessary to create dedicated send threads, of which 8 can be configured. It is still possible to configure MySQL Cluster 7.2 to a legacy mode that does not use any of the send threads – useful for those workloads that are most sensitive to latency. The IO Thread is the final thread type and there have been no changes to this domain in MySQL Cluster 7.2. Multiple IO threads were already available, which could be configured to either one thread per open file, or to a fixed number of IO threads that handle the IO traffic. Except when using compression on disk, the IO threads typically have a very light load. Benchmarking the Scalability Enhancements The scalability enhancements discussed above have made it possible to scale CPU usage of each data node to more than 5x of that possible in MySQL Cluster 7.1. In addition, a number of bottlenecks have been removed, making it possible to scale data node performance by even more than 5x. Figure 2: MySQL Cluster 7.2 Delivers 8.4x Higher Performance than 7.1 The flexAsynch benchmark was used to compare MySQL Cluster 7.2 performance to 7.1 across an 8-node Intel Xeon x5670-based cluster of dual socket commodity servers (6 cores each). As the results demonstrate, MySQL Cluster 7.2 delivers over 8x higher performance per data nodes than MySQL Cluster 7.1. More details of this and other benchmarks will be published in a new whitepaper – coming soon, so stay tuned! In a following blog post, I’ll provide recommendations on optimum thread configurations for different types of server processor. You can also learn more from the Best Practices Guide to Optimizing Performance of MySQL Cluster Conclusion MySQL Cluster has achieved a range of impressive benchmark results, and set in context with the previous 7.1 release, is able to deliver over 8x higher performance per node. As a result, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs.

    Read the article

  • BI Applications overview

    - by sv744
    Welcome to Oracle BI applications blog! This blog will talk about various features, general roadmap, description of functionality and implementation steps related to Oracle BI applications. In the first post we start with an overview of the BI apps and will delve deeper into some of the topics below in the upcoming weeks and months. If there are other topics you would like us to talk about, pl feel free to provide feedback on that. The Oracle BI applications are a set of pre-built applications that enable pervasive BI by providing role-based insight for each functional area, including sales, service, marketing, contact center, finance, supplier/supply chain, HR/workforce, and executive management. For example, Sales Analytics includes role-based applications for sales executives, sales management, as well as front-line sales reps, each of whom have different needs. The applications integrate and transform data from a range of enterprise sources—including Siebel, Oracle, PeopleSoft, SAP, and others—into actionable intelligence for each business function and user role. This blog  starts with the key benefits and characteristics of Oracle BI applications. In a series of subsequent blogs, each of these points will be explained in detail. Why BI apps? Demonstrate the value of BI to a business user, show reports / dashboards / model that can answer their business questions as part of the sales cycle. Demonstrate technical feasibility of BI project and significantly lower risk and improve success Build Vs Buy benefit Don’t have to start with a blank sheet of paper. Help consolidate disparate systems Data integration in M&A situations Insulate BI consumers from changes in the OLTP Present OLTP data and highlight issues of poor data / missing data – and improve data quality and accuracy Prebuilt Integrations BI apps support prebuilt integrations against leading ERP sources: Fusion Applications, E- Business Suite, Peoplesoft, JD Edwards, Siebel, SAP Co-developed with inputs from functional experts in BI and Applications teams. Out of the box dimensional model to source model mappings Multi source and Multi Instance support Rich Data Model    BI apps have a very rich dimensionsal data model built over 10 years that incorporates best practises from BI modeling perspective as well as reflect the source system complexities  Thanks for reading a long post, and be on the lookout for future posts.  We will look forward to your valuable feedback on these topics as well as suggestions on what other topics would you like us to cover. I Conformed dimensional model across all business subject areas allows cross functional reporting, e.g. customer / supplier 360 Over 360 fact tables across 7 product areas CRM – 145, SCM – 47, Financials – 28, Procurement – 20, HCM – 27, Projects – 18, Campus Solutions – 21, PLM - 56 Supported by 300 physical dimensions Support for extensive calendars; Gregorian, enterprise and ledger based Conformed data model and metrics for real time vs warehouse based reporting  Multi-tenant enabled Extensive BI related transformations BI apps ETL and data integration support various transformations required for dimensional models and reporting requirements. All these have been distilled into common patterns and abstracted logic which can be readily reused across different modules Slowly Changing Dimension support Hierarchy flattening support Row / Column Hybrid Hierarchy Flattening As Is vs. As Was hierarchy support Currency Conversion :-  Support for 3 corporate, CRM, ledger and transaction currencies UOM conversion Internationalization / Localization Dynamic Data translations Code standardization (Domains) Historical Snapshots Cycle and process lifecycle computations Balance Facts Equalization of GL accounting chartfields/segments Standardized values for categorizing GL accounts Reconciliation between GL and subledgers to track accounted/transferred/posted transactions to GL Materialization of data only available through costly and complex APIs e.g. Fusion Payroll, EBS / Fusion Accruals Complex event Interpretation of source data – E.g. o    What constitutes a transfer o    Deriving supervisors via position hierarchy o    Deriving primary assignment in PSFT o    Categorizing and transposition to measures of Payroll Balances to specific metrics to support side by side comparison of measures of for example Fixed Salary, Variable Salary, Tax, Bonus, Overtime Payments. o    Counting of Events – E.g. converting events to fact counters so that for example the number of hires can easily be added up and compared alongside the total transfers and terminations. Multi pass processing of multiple sources e.g. headcount, salary, promotion, performance to allow side to side comparison. Adding value to data to aid analysis through banding, additional domain classifications and groupings to allow higher level analytical reporting and data discovery Calculation of complex measures examples: o    COGs, DSO, DPO, Inventory turns  etc o    Transfers within a Hierarchy or out of / into a hierarchy relative to view point in hierarchy. Configurability and Extensibility support  BI apps offer support for extensibility for various entities as automated extensibility or part of extension methodology Key Flex fields and Descriptive Flex support  Extensible attribute support (JDE)  Conformed Domains ETL Architecture BI apps offer a modular adapter architecture which allows support of multiple product lines into a single conformed model Multi Source Multi Technology Orchestration – creates load plan taking into account task dependencies and customers deployment to generate a plan based on a customers of multiple complex etl tasks Plan optimization allowing parallel ETL tasks Oracle: Bit map indexes and partition management High availability support    Follow the sun support. TCO BI apps support several utilities / capabilities that help with overall total cost of ownership and ensure a rapid implementation Improved cost of ownership – lower cost to deploy On-going support for new versions of the source application Task based setups flows Data Lineage Functional setup performed in Web UI by Functional person Configuration Test to Production support Security BI apps support both data and object security enabling implementations to quickly configure the application as per the reporting security needs Fine grain object security at report / dashboard and presentation catalog level Data Security integration with source systems  Extensible to support external data security rules Extensive Set of KPIs Over 7000 base and derived metrics across all modules Time series calculations (YoY, % growth etc) Common Currency and UOM reporting Cross subject area KPIs (analyzing HR vs GL data, drill from GL to AP/AR, etc) Prebuilt reports and dashboards 3000+ prebuilt reports supporting a large number of industries Hundreds of role based dashboards Dynamic currency conversion at dashboard level Highly tuned Performance The BI apps have been tuned over the years for both a very performant ETL and dashboard performance. The applications use best practises and advanced database features to enable the best possible performance. Optimized data model for BI and analytic queries Prebuilt aggregates& the ability for customers to create their own aggregates easily on warehouse facts allows for scalable end user performance Incremental extracts and loads Incremental Aggregate build Automatic table index and statistics management Parallel ETL loads Source system deletes handling Low latency extract with Golden Gate Micro ETL support Bitmap Indexes Partitioning support Modularized deployment, start small and add other subject areas seamlessly Source Specfic Staging and Real Time Schema Support for source specific operational reporting schema for EBS, PSFT, Siebel and JDE Application Integrations The BI apps also allow for integration with source systems as well as other applications that provide value add through BI and enable BI consumption during operational decision making Embedded dashboards for Fusion, EBS and Siebel applications Action Link support Marketing Segmentation Sales Predictor Dashboard Territory Management External Integrations The BI apps data integration choices include support for loading extenral data External data enrichment choices : UNSPSC, Item class etc. Extensible Spend Classification Broad Deployment Choices Exalytics support Databases :  Oracle, Exadata, Teradata, DB2, MSSQL ETL tool of choice : ODI (coming), Informatica Extensible and Customizable Extensible architecture and Methodology to add custom and external content Upgradable across releases

    Read the article

  • B2B Commerce Best Practice Round Table

    - by Jeri Kelley
    Are you struggling with delivering customers a consistent B2B multi-channel commerce experience? If yes, then you will want to join us for a panel discussion featuring Oracle customers and B2B commerce experts on Thursday, September 27th to learn how leading B2B companies are succeeding in the new age of commerce. Topics of discussion will include: Moving B2B data and content online Multiple site management Mobile platforms Merchandising and personalization Don’t miss this opportunity to learn more about the latest trends, challenges and successes in B2B multi-channel commerce. Learn more and register!

    Read the article

  • B2B Commerce Best Practice Round Table

    - by Jeri Kelley
    Are you struggling with delivering customers a consistent B2B multi-channel commerce experience? If yes, then you will want to join us for a panel discussion featuring Oracle customers and B2B commerce experts on Thursday, September 27th to learn how leading B2B companies are succeeding in the new age of commerce. Topics of discussion will include: Moving B2B data and content online Multiple site management Mobile platforms Merchandising and personalization Don’t miss this opportunity to learn more about the latest trends, challenges and successes in B2B multi-channel commerce. Learn more and register!

    Read the article

  • Significance of SEO Submissions

    Search Engine Optimization is an important strategy for making the web occurrence and existence of your company cost effective and fruitful for you. To elevate the interest of your target audience in your website, to pull them towards your online identity and making them browse through your products and services is a very important step in making your business successful in all fields. This multi-faceted multi-beneficial task can bear the sweet fruit of success when it is applied in the best way.

    Read the article

  • Codeway 5 : Embarcadero présente les nouveautés de RAD Studio XE2, sa suite de développement rapide, évènement gratuit en ligne

    Codeway 5 : Embarcadero présente les nouveautés de RAD Studio XE2 Sa suite de développement rapide et multiplateforme, lors d'un évènement gratuit en ligne Durant la semaine du 21 au 25 novembre, Embarcadero organise Codeway 5, un évènement en ligne et en français pour présenter les nouveautés de RAD Studio XE2, la nouvelle évolution de sa suite de développement rapide, multi-langages et multi plateformes. Après avoir fait escale dans les principales villes françaises avec le CodeWay Tour 2011, Embarcadero veut manifestement se faire entendre par un plus grand nombre d'intéressés sans qu'ils aient à se déplacer. « Une connexion internet suffit » pour prendre pleinement par...

    Read the article

  • MySQL Master-Master w/ multiple read slave cost effective setup in AWS

    - by Ross
    I've been evaluating Amazon Web Services RDS for MySQL and costing out potential scenarios involving a simple multi-AZ deployment read/write setup vs. a multi-AZ deployment mysql master (hot-standby) with additional read-only slaves. the issue I'm trying to cost-optimize includes their reserved instance vs on-demand instances. Situation 1: purchase reserved multi-az setup for Extra-large-hi-mem(17GB RAM) instance for $5200/yr and have my application query the master all the time. the problem is, if I don't need all the resources of the (17GB RAM) all the time and therefore, especially not a hot-standby, what alternatives for savings can a better topology create, like potentially situation 2 below: Situation 2: purchase reserved multi-az setup using smaller master instances than above for the master-master hot-standby to receive the writes only. Then create and load balance several read-only slaves off the master and add/remove and/or scale up/down the read slaves based on demand. This might only cost $1000 + the on-demand usage of the read slaves. My thinking is, if I have a variable read-intensive application load, with low write load, the single level topology in situation 1 means I'm paying for a lot of resources at the write level of topology when I don't need them there. My hope is that situation 2 can yield cost savings from smaller reserved instances on the master-master resource level allowing me to scale up and down and/or out on the read-level according to demand as needed. Does anyone see a downside to doing this or know of some reason this isn't possible with RDS? Any other thoughts or advice always welcome of course. Thanks in advance, R

    Read the article

  • Compiled git from source, cannot access subversion repositories using git-svn

    - by haydenmuhl
    I'm setting up a CentOS dev box, and need git. At first I tried to install git using yum, but I could not connect to a yum repository that had git. Next I downloaded the git source (version 1.7.1) and compiled it. When I run the following command git svn clone svn+ssh://... I get the following error. Initialized empty Git repository in /root/main_ec/.git/ Can't locate SVN/Core.pm in @INC (@INC contains: /usr/local/lib/perl5/site_perl/5.8.8/i386-linux-thread-multi /usr/local/lib/perl5/site_perl/5.8.8 /usr/lib/perl5/site_perl/5.8.8/i386-linux-thread-multi /usr/lib/perl5/site_perl/5.8.8 /usr/lib/perl5/site_perl /usr/lib/perl5/vendor_perl/5.8.8/i386-linux-thread-multi /usr/lib/perl5/vendor_perl/5.8.8 /usr/lib/perl5/vendor_perl /usr/lib/perl5/5.8.8/i386-linux-thread-multi /usr/lib/perl5/5.8.8 .) at /usr/local/libexec/git-core/git-svn line 41. It looks like git-svn uses perl in some manner, but I don't know packages I'm missing. Can anyone help?

    Read the article

  • The SPARC SuperCluster

    - by Karoly Vegh
    Oracle has been providing a lead in the Engineered Systems business for quite a while now, in accordance with the motto "Hardware and Software Engineered to Work Together." Indeed it is hard to find a better definition of these systems.  Allow me to summarize the idea. It is:  Build a compute platform optimized to run your technologies Develop application aware, intelligently caching storage components Take an impressively fast network technology interconnecting it with the compute nodes Tune the application to scale with the nodes to yet unseen performance Reduce the amount of data moving via compression Provide this all in a pre-integrated single product with a single-pane management interface All these ideas have been around in IT for quite some time now. The real Oracle advantage is adding the last one to put these all together. Oracle has built quite a portfolio of Engineered Systems, to run its technologies - and run those like they never ran before. In this post I'll focus on one of them that serves as a consolidation demigod, a multi-purpose engineered system.  As you probably have guessed, I am talking about the SPARC SuperCluster. It has many great features inherited from its predecessors, and it adds several new ones. Allow me to pick out and elaborate about some of the most interesting ones from a technological point of view.  I. It is the SPARC SuperCluster T4-4. That is, as compute nodes, it includes SPARC T4-4 servers that we learned to appreciate and respect for their features: The SPARC T4 CPUs: Each CPU has 8 cores, each core runs 8 threads. The SPARC T4-4 servers have 4 sockets. That is, a single compute node can in parallel, simultaneously  execute 256 threads. Now, a full-rack SPARC SuperCluster has 4 of these servers on board. Remember the keyword demigod.  While retaining the forerunner SPARC T3's exceptional throughput, the SPARC T4 CPUs raise the bar with single performance too - a humble 5x better one than their ancestors.  actually, the SPARC T4 CPU cores run in both single-threaded and multi-threaded mode, and switch between these two on-the-fly, fulfilling not only single-threaded OR multi-threaded applications' needs, but even mixed requirements (like in database workloads!). Data security, anyone? Every SPARC T4 CPU core has a built-in encryption engine, that is, encryption algorithms cast into silicon.  A PCI controller right on the chip for customers who need I/O performance.  Built-in, no-cost Virtualization:  Oracle VM for SPARC (the former LDoms or Logical Domains) is not a server-emulation virtualization technology but rather a serverpartitioning one, the hypervisor runs in the server firmware, and all the VMs' HW resources (I/O, CPU, memory) are accessed natively, without performance overhead.  This enables customers to run a number of Solaris 10 and Solaris 11 VMs separated, independent of each other within a physical server II. For Database performance, it includes Exadata Storage Cells - one of the main reasons why the Exadata Database Machine performs at diabolic speed. What makes them important? They provide DB backend storage for your Oracle Databases to run on the SPARC SuperCluster, that is what they are built and tuned for DB performance.  These storage cells are SQL-aware.  That is, if a SPARC T4 database compute node executes a query, it doesn't simply request tons of raw datablocks from the storage, filters the received data, and throws away most of it where the statement doesn't apply, but provides the SQL query to the storage node too. The storage cell software speaks SQL, that is, it is able to prefilter and through that transfer only the relevant data. With this, the traffic between database nodes and storage cells is reduced immensely. Less I/O is a good thing - as they say, all the CPUs of the world do one thing just as fast as any other - and that is waiting for I/O.  They don't only pre-filter, but also provide data preprocessing features - e.g. if a DB-node requests an aggregate of data, they can calculate it, and handover only the results, not the whole set. Again, less data to transfer.  They support the magical HCC, (Hybrid Columnar Compression). That is, data can be stored in a precompressed form on the storage. Less data to transfer.  Of course one can't simply rely on disks for performance, there is Flash Storage included there for caching.  III. The low latency, high-speed backbone network: InfiniBand, that interconnects all the members with: Real High Speed: 40 Gbit/s. Full Duplex, of course. Oh, and a really low latency.  RDMA. Remote Direct Memory Access. This technology allows the DB nodes to do exactly that. Remotely, directly placing SQL commands into the Memory of the storage cells. Dodging all the network-stack bottlenecks, avoiding overhead, placing requests directly into the process queue.  You can also run IP over InfiniBand if you please - that's the way the compute nodes can communicate with each other.  IV. Including a general-purpose storage too: the ZFSSA, which is a unified storage, providing NAS and SAN access too, with the following features:  NFS over RDMA over InfiniBand. Nothing is faster network-filesystem-wise.  All the ZFS features onboard, hybrid storage pools, compression, deduplication, snapshot, replication, NFS and CIFS shares Storageheads in a HA-Cluster configuration providing availability of the data  DTrace Live Analytics in a web-based Administration UI Being a general purpose application data storage for your non-database applications running on the SPARC SuperCluster over whichever protocol they prefer, easily replicating, snapshotting, cloning data for them.  There's a lot of great technology included in Oracle's SPARC SuperCluster, we have talked its interior through. As for external scalability: you can start with a half- of full- rack SPARC SuperCluster, and scale out to several racks - that is, stacking not separate full-rack SPARC SuperClusters, but extending always one large instance of the size of several full-racks. Yes, over InfiniBand network. Add racks as you grow.  What technologies shall run on it? SPARC SuperCluster is a general purpose scaleout consolidation/cloud environment. You can run Oracle Databases with RAC scaling, or Oracle Weblogic (end enjoy the SPARC T4's advantages to run Java). Remember, Oracle technologies have been integrated with the Oracle Engineered Systems - this is the Oracle on Oracle advantage. But you can run other software environments such as SAP if you please too. Run any application that runs on Oracle Solaris 10 or Solaris 11. Separate them in Virtual Machines, or even Oracle Solaris Zones, monitor and manage those from a central UI. Here the key takeaways once again: The SPARC SuperCluster: Is a pre-integrated Engineered System Contains SPARC T4-4 servers with built-in virtualization, cryptography, dynamic threading Contains the Exadata storage cells that intelligently offload the burden of the DB-nodes  Contains a highly available ZFS Storage Appliance, that provides SAN/NAS storage in a unified way Combines all these elements over a high-speed, low-latency backbone network implemented with InfiniBand Can grow from a single half-rack to several full-rack size Supports the consolidation of hundreds of applications To summarize: All these technologies are great by themselves, but the real value is like in every other Oracle Engineered System: Integration. All these technologies are tuned to perform together. Together they are way more than the sum of all - and a careful and actually very time consuming integration process is necessary to orchestrate all these for performance. The SPARC SuperCluster's goal is to enable infrastructure operations and offer a pre-integrated solution that can be architected and delivered in hours instead of months of evaluations and tests. The tedious and most importantly time and resource consuming part of the work - testing and evaluating - has been done.  Now go, provide services.   -- charlie  

    Read the article

  • Weekend reading: Microsoft/Oracle and SkyDrive based code-editor

    - by jamiet
    A couple of news item caught my eye this weekend that I think are worthy of comment. Microsoft/Oracle partnership to be announced tomorrow (24/06/2013) According to many news site Microsoft and Oracle are about to announce a partnership (Oracle set for major Microsoft, Salesforce, Netsuite partnerships) and they all seem to be assuming that it will be something to do with “the cloud”. I wouldn’t disagree with that assessment, Microsoft are heavily pushing Azure and Oracle seem (to me anyway) to be rather lagging behind in the cloud game. More specifically folks seem to be assuming that Oracle’s forthcoming 12c database release will be offered on Azure. I did a bit of reading about Oracle 12c and one of its key pillars appears to be that it supports multi-tenant topologies and multi-tenancy is a common usage scenario for databases in the cloud. I’m left wondering then, if Microsoft are willing to push a rival’s multi-tenant solution what is happening to its own cloud-based multi-tenant offering – SQL Azure Federations. We haven’t heard anything about federations for what now seems to be a long time and moreover the main Program Manager behind the technology, Cihan Biyikoglu, recently left Microsoft to join Twitter. Furthermore, a Principle Architect for SQL Server, Conor Cunningham, recently presented the opening keynote at SQLBits 11 where he talked about multi-tenant solutions on SQL Azure and not once did he mention federations. All in all I don’t have a warm fuzzy feeling about the future of SQL Azure Federations so I hope that that question gets asked at some point following the Microsoft/Oracle announcement. Text Editor on SkyDrive with coding-specific features Liveside.net got a bit of a scoop this weekend with the news (Exclusive: SkyDrive.com to get web-based text file editing features) that Microsoft’s consumer-facing file storage service is going to get a new feature – a web-based code editor. Here’s Liveside’s screenshot: I’ve long had a passing interest in online code editors, indeed back in December 2009 I wondered out loud on this blog site: I started to wonder when the development tools that we use would also become cloud-based. After all, if we’re using cloud-based services does it not make sense to have cloud-based tools that work with them? I think it does. Project Houston Since then the world has moved on. Cloud 9 IDE (https://c9.io/) have blazed a trail in the fledgling world of online code editors and I have been wondering when Microsoft were going to start playing catch-up. I had no doubt that an online code editor was in Microsoft’s future; its an obvious future direction, why would I want to have to download and install a bloated text editor (which, arguably, is exactly what Visual Studio amounts to) and have to continually update it when I can simply open a web browser and have ready access to all of my code from wherever I am. There are signs that Microsoft is already making moves in this direction, after all the URL for their new offering Team Foundation Service doesn’t mention TFS at all – my own personalised URL for Team Foundation Service is http://jamiet.visualstudio.com – using “Visual Studio” as the domain name for a service that isn’t strictly speaking part of Visual Studio leads me to think that there’s a much bigger play here and that one day http://visualstudio.com will house an online code editor. With that in mind then I find Liveside’s revelation rather intriguing, why would a code editing tool show up in Skydrive? Perhaps SkyDrive is going to get integrated more tightly into TFS, I’m very interested to see where this goes. The larger question playing on my mind though is whether an online code editor from Microsoft will support SQL Server developers. I have opined before (see The SQL developer gap) about the shoddy treatment that SQL Server developers have to experience from Microsoft and I haven’t seen any change in Microsoft’s attitude in the three and a half years since I wrote that post. I’m constantly bewildered by the lack of investment in SQL Server developer productivity compared to the riches that are lavished upon our appdev brethren. When you consider that SQL Server is Microsoft’s third biggest revenue stream it is, frankly, rather insulting. SSDT was a step in the right direction but the hushed noises I hear coming out of Microsoft of late in regard to SSDT don’t bode fantastically well for its future. So, will an online code editor from Microsoft support T-SQL development? I have to assume not given the paucity of investment on us lowly SQL Server developers over the last few years, but I live in hope! Your thoughts in the comments section please. I would be very interested in reading them. @Jamiet

    Read the article

  • Wisdom of merging 100s of Oracle instances into one instance

    - by hoytster
    Our application runs on the web, is mostly an inquiry tool, does some transactions. We host the Oracle database. The app has always had a different instance of Oracle for each customer. A customer is a company which pays us to provide our service to the company's employees, typically 10,000-25,000 employees per customer. We do a major release every few years, and migrating to that new release is challenging: we might have a team at the customer site for a couple weeks, explaining new functionality and setting up the driving data to suit that customer. We're considering going multi-client, putting all our customers into a single shared Oracle 11g instance on a big honkin' Windows Server 2008 server -- in order to reduce costs. I'm wondering if that's advisable. There are some advantages to having separate instances for each customer. Tell me if these are bogus, please. In my rough guess about decreasing importance: Our customers MyCorp and YourCo can be migrated separately when breaking changes are made to the schema. (With multi-client, we'd be migrating 300+ customers overnight!?!) MyCorp's data can be easily backed up and (!!!) restored, without affecting other customers. MyCorp's data is securely separated from their competitor YourCo's data, without depending on developers to get the code right and/or DBAs getting the configuration right. Performance is better because the database is smaller (5,000 vs 2,000,000 rows in ~50 tables). If MyCorp's offices are (mostly) in just one region, then the MyCorp's instance can be geographically co-located there, so network lag doesn't hurt performance. We can provide better service to global clients, for the same reason. In MyCorp wants to take their database in-house, then we can easily export their instance, to get MyCorp their data. Load-balancing is easier because instances can be placed on different servers (this is with a web farm). When a DEV or QA instance is needed, it's easier to clone the real instance and anonymize the data, because there's much less data. Because they're small enough, developers can have their own instance running locally, so they can work on code while waiting at the airport and while in-flight, without fighting VPN hassles. Q1: What are other advantages of separate instances? We are contemplating changing the database schema and merging all of our customers into one Oracle instance, running on one hefty server. Here are advantages of the multi-client instance approach, most important first (my WAG). Please snipe if these are bogus: Less work for the DBAs, since they only need to maintain one instance instead of hundreds. Less DBA work translates to cheaper, our main motive for this change. With just one instance, the DBAs can do a better job of optimizing performance. They'll have time to add appropriate indexes and review our SQL. It will be easier for developers to debug & enhance the application, because there is only one schema and one app (there might be dozens of schema versions if there are hundreds of instances, with a different version of the app for each version of the schema). This reduces costs too. The alternative is having to start every debug session with (1) What version is this customer running and (2) Let's struggle to recreate the corresponding development environment, code and database. (We need a Virtual Machine that includes the code AND database instance for each patch and release!) Licensing Oracle is cheaper because it's priced per server irrespective of heft (or something -- I don't know anything about the subject). The database becomes a viable persistent store for web session data, because there is just one instance. Some database operations are easier with one multi-client instance, like finding a participant when they're hazy about which customer they (or their spouse, maybe) works for: all the names are in one table. Reporting across customers is straightforward. Q2: What are other advantages of having multiple clients in one instance? Q3: Which approach do you think is better (why)? Instance per customer, or all customers in one instance? I'm concerned that having one multi-client instance makes migration near-impossible, and that's a deal killer... ... unless there is a compromise solution like having two multi-client instances, the old and the new. In that case case, we would design cross-instance solutions for finding participants, reporting, etc. so customers could go from one multi-client instance to the next without anything breaking. THANKS SO MUCH for your collective advice! This issue is beyond me -- but not beyond the collective you. :) Hoytster

    Read the article

  • 6 Prominent Features of New GMail User Interface

    - by Gopinath
    GMail’s user interface has got a big make over today and the new user interface is available to everyone. We can switch to the new user interface by click on “Switch to the new look” link available at the bottom right of GMail (If you are on IE 6 or similar type of bad browsers, you will not see the option!). I switched to the new user interface as soon I noticed the link and played with it for sometime. In this post I want to share the prominent features of all new GMail interface. 1. All New Conversations Interface GMail’s threaded conversations is a game changing feature when it was first introduced by Google. For  a long time we have not seen much updates to the threaded conversation views. In the new GMail interface, threaded conversation sports a great new look – conversations are always visible in a horizontal fashion as opposed to stack interface of earlier version. When you open a conversation, you get a quick glance of individual thread without expanding the thread. Readability is improved a lot now.  Check image after the break 2. Sender Profile Photos In Email Threads Did you observe the above screenshot of conversations view? It has profile images of the participants in the thread. Identifying person of a thread is much more easy. 3. Advanced Search Box Search is the heart of Google’s business and it’s their flagship technology. GMail’s search interface is enhanced to let you quickly find the required e-mails. Also you can create mail filters from the search box without leaving the screen or opening up a new popup. 4. Gmail Automatically Resizing To Fit Multiple Devices There is no doubt that this is post PC era where people started using more of tablets and big screen smartphones than ever. The new user interface of GMail automatically resizes itself to fit the size of screen seamlessly. 5. HD Images For Your Themes, Sourced from iStockphoto Are you bored with minimalistic GMail interface and the few flashy themes? Here comes GMail HD themes backed by stock photographs sourced from iStockPhoto website. If you have a widescreen HD monitor then decorate your inbox with beautiful themes. 6. Resize Labels & Chat Panels Now you got a splitter between Labels & Chat panel that lets resize their height as you prefer. Also Label panel auto expands its height when you mouse over to show you hidden labels if any. Video – overview of new GMail features This article titled,6 Prominent Features of New GMail User Interface, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

    Read the article

  • Concurrent Affairs

    - by Tony Davis
    I once wrote an editorial, multi-core mania, on the conundrum of ever-increasing numbers of processor cores, but without the concurrent programming techniques to get anywhere near exploiting their performance potential. I came to the.controversial.conclusion that, while the problem loomed for all procedural languages, it was not a big issue for the vast majority of programmers. Two years later, I still think most programmers don't concern themselves overly with this issue, but I do think that's a bigger problem than I originally implied. Firstly, is the performance boost from writing code that can fully exploit all available cores worth the cost of the additional programming complexity? Right now, with quad-core processors that, at best, can make our programs four times faster, the answer is still no for many applications. But what happens in a few years, as the number of cores grows to 100 or even 1000? At this point, it becomes very hard to ignore the potential gains from exploiting concurrency. Possibly, I was optimistic to assume that, by the time we have 100-core processors, and most applications really needed to exploit them, some technology would be around to allow us to do so with relative ease. The ideal solution would be one that allows programmers to forget about the problem, in much the same way that garbage collection removed the need to worry too much about memory allocation. From all I can find on the topic, though, there is only a remote likelihood that we'll ever have a compiler that takes a program written in a single-threaded style and "auto-magically" converts it into an efficient, correct, multi-threaded program. At the same time, it seems clear that what is currently the most common solution, multi-threaded programming with shared memory, is unsustainable. As soon as a piece of state can be changed by a different thread of execution, the potential number of execution paths through your program grows exponentially with the number of threads. If you have two threads, each executing n instructions, then there are 2^n possible "interleavings" of those instructions. Of course, many of those interleavings will have identical behavior, but several won't. Not only does this make understanding how a program works an order of magnitude harder, but it will also result in irreproducible, non-deterministic, bugs. And of course, the problem will be many times worse when you have a hundred or a thousand threads. So what is the answer? All of the possible alternatives require a change in the way we write programs and, currently, seem to be plagued by performance issues. Software transactional memory (STM) applies the ideas of database transactions, and optimistic concurrency control, to memory. However, working out how to break down your program into sufficiently small transactions, so as to avoid contention issues, isn't easy. Another approach is concurrency with actors, where instead of having threads share memory, each thread runs in complete isolation, and communicates with others by passing messages. It simplifies concurrent programs but still has performance issues, if the threads need to operate on the same large piece of data. There are doubtless other possible solutions that I haven't mentioned, and I would love to know to what extent you, as a developer, are considering the problem of multi-core concurrency, what solution you currently favor, and why. Cheers, Tony.

    Read the article

  • using Quick Sequence Diagram Editor for sequence diagrams

    - by Jason S
    Anyone have experience with Quick Sequence Diagram Editor? The combination of instant display + text source code + Java implementation is very attractive to me, but I can't quite figure out how to make the syntax do what I want, and the documentation's not very clear. Here's a contrived example: al:Actor bill:Actor atm:ATM[a] bank:Bank[a] al:atm.give me $10 atm:al has $3=bank.check al's account balance al:atm.what time is it atm:al.it's now atm:al.stop bugging me atm:al.you only have $3 atm:bill.and don't you open your mouth bill:atm.who asked you? bill:atm.give me $20 al:atm.hey, I'm not finished! atm:bill has $765=bank.check bill's account balance atm:yes I'm sure, bill has $765=bank.hmm are you sure? atm:bill.here's $20, now go away atm:great, he's a cool dude=bank.I just gave Bill $20 al:atm.what about my $10? atm:al.read my lips: you only have $3 Here's the result from QSDE in single-threaded mode: and in multi-threaded mode: I guess I'm not clear what starts/ends those vertical bars. I have a situation which is single-threaded, but there's state involved, and all the messages are asynchronous. I guess that means I should use an external object to represent that state and its lifetime. What I want is for one timeline to represent the message sequence al:atm.give me $10 atm:bank.check al's account balance bank:atm.al has $3 atm:al.you only have $3 and another timeline to represent the message sequence bill:atm.give me $20 atm:bank.check bill's account balance bank:atm.bill has $765 atm:bank.hmm are you sure? bank:atm.yes I'm sure, bill has $765 atm:bill.here's $20, now go away atm:bank.I just gave Bill $20 bank:atm.great, he's a cool dude with the other "wisecracks" representing other miscellaneous messages that I don't care about right now. Is there a way to do this with QSDE?

    Read the article

  • hadoop install cluster

    - by chnet
    Is it possible to run hadoop on multi-node and these nodes install hadoop on different paths? I noticed the tutorial, such as Michael Noll's, http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-multi-node-cluster/, asks hadoop to be installed on different nodes with the same installation path. I tried to run hadoop on multi-node. Each node installed hadoop on different path. But not success. I noticed that the hadoop assume installation paths are the same in default.

    Read the article

  • hadoop install cluster

    - by chnet
    Is it possible to run hadoop on multi-node and these nodes install hadoop on different paths? I noticed the tutorial, such as Michael Noll's, http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-multi-node-cluster/, asks hadoop to be installed on different nodes with the same installation path. I tried to run hadoop on multi-node. Each node installed hadoop on different path. But not success. I noticed that the hadoop assume installation paths are the same in default. The problem is when I execute start-dfs.sh it tries to start hadoop deamons on the salve nodes from the same path as on master. "Whereas the installation path is different. Were the relevant files modified to reflect the installed locations on each node"? Which file I should modify to reflect the installed locations on each node?

    Read the article

  • Macports irssi & perl5 installation issues

    - by Dmitri DB
    Long time reader, first time poster. Big, appreciative thanks for everyone's collective questioning and answering here and at stackoverflow, it's helped me quite a lot over the time I've been learning answers through these sites! Apologies in advance if I didn't search hard enough on posts already up on this site to find out what I could do about this issue, but I thought I'd just reach out for the sake of trying at least once. I've experienced this issue while starting up my macports-installed version of irssi: 13:25 -!- Irssi: Error in script dispatch: 13:25 Can't locate lib.pm in @INC (@INC contains: /opt/local/lib/perl5/site_perl/5.12.4/darwin-multi-2level /opt/local/lib/perl5/site_perl/5.12.4 /opt/local/lib/perl5/vendor_perl/5.12.4/darwin-multi-2level /opt/local/lib/perl5/vendor_perl/5.12.4 /opt/local/lib/perl5/5.12.4/darwin-multi-2level /opt/local/lib/perl5/5.12.4 /opt/local/lib/perl5/site_perl/5.12.3/darwin-multi-2level /opt/local/lib/perl5/site_perl/5.12.3 /opt/local/lib/perl5/site_perl /opt/local/lib/perl5/vendor_perl .) at (eval 18) line 1. 13:25 BEGIN failed--compilation aborted at (eval 18) line 1. 13:25 Huh, strange. I looked into it a bit: [email protected] /opt/local/lib/perl5 ?- find . -name "lib.pm" -ls 14673887 16 -r--r--r-- 1 root admin 6853 25 Jun 23:39 ./5.12.4/darwin-thread-multi- 2level/lib.pm [email protected] /opt/local/lib/perl5 ?- l 5.12.4/darwin-thread-multi-2level total 1864 drwxr-xr-x 55 root admin 1870 28 Jun 19:28 . drwxr-xr-x 158 root admin 5372 28 Jun 19:28 .. -rw-r--r-- 1 root admin 177814 25 Jun 23:39 .packlist drwxr-xr-x 6 root admin 204 28 Jun 19:28 B -r--r--r-- 1 root admin 25714 25 Jun 23:39 B.pm drwxr-xr-x 64 root admin 2176 28 Jun 19:28 CORE drwxr-xr-x 3 root admin 102 28 Jun 19:28 Compress -r--r--r-- 1 root admin 3000 25 Jun 23:39 Config.pm -r--r--r-- 1 root admin 228094 25 Jun 23:39 Config.pod -r--r--r-- 1 root admin 409 25 Jun 23:39 Config_git.pl -r--r--r-- 1 root admin 38759 25 Jun 23:39 Config_heavy.pl -r--r--r-- 1 root admin 21174 25 Jun 23:39 Cwd.pm -r--r--r-- 1 root admin 63535 25 Jun 23:39 DB_File.pm drwxr-xr-x 3 root admin 102 28 Jun 19:28 Data drwxr-xr-x 5 root admin 170 28 Jun 19:28 Devel drwxr-xr-x 4 root admin 136 28 Jun 19:28 Digest -r--r--r-- 1 root admin 25185 25 Jun 23:39 DynaLoader.pm drwxr-xr-x 22 root admin 748 28 Jun 19:28 Encode -r--r--r-- 1 root admin 29731 25 Jun 23:39 Encode.pm -r--r--r-- 1 root admin 6736 25 Jun 23:39 Errno.pm -r--r--r-- 1 root admin 5445 25 Jun 23:39 Fcntl.pm drwxr-xr-x 5 root admin 170 28 Jun 19:28 File drwxr-xr-x 3 root admin 102 28 Jun 19:28 Filter -r--r--r-- 1 root admin 1819 25 Jun 23:39 GDBM_File.pm drwxr-xr-x 4 root admin 136 28 Jun 19:28 Hash drwxr-xr-x 3 root admin 102 28 Jun 19:28 I18N drwxr-xr-x 11 root admin 374 28 Jun 19:28 IO -r--r--r-- 1 root admin 1404 25 Jun 23:39 IO.pm drwxr-xr-x 6 root admin 204 28 Jun 19:28 IPC drwxr-xr-x 4 root admin 136 28 Jun 19:28 List drwxr-xr-x 4 root admin 136 28 Jun 19:28 MIME drwxr-xr-x 3 root admin 102 28 Jun 19:28 Math -r--r--r-- 1 root admin 2519 25 Jun 23:39 NDBM_File.pm -r--r--r-- 1 root admin 4208 25 Jun 23:39 O.pm -r--r--r-- 1 root admin 15563 25 Jun 23:39 Opcode.pm -r--r--r-- 1 root admin 21011 25 Jun 23:39 POSIX.pm -r--r--r-- 1 root admin 58962 25 Jun 23:39 POSIX.pod drwxr-xr-x 5 root admin 170 28 Jun 19:28 PerlIO -r--r--r-- 1 root admin 2515 25 Jun 23:39 SDBM_File.pm drwxr-xr-x 4 root admin 136 28 Jun 19:28 Scalar -r--r--r-- 1 root admin 10837 25 Jun 23:39 Socket.pm -r--r--r-- 1 root admin 41003 25 Jun 23:39 Storable.pm drwxr-xr-x 4 root admin 136 28 Jun 19:28 Sys drwxr-xr-x 3 root admin 102 28 Jun 19:28 Text drwxr-xr-x 5 root admin 170 28 Jun 19:28 Time drwxr-xr-x 3 root admin 102 28 Jun 19:28 Unicode -r--r--r-- 1 root admin 14462 25 Jun 23:39 attributes.pm drwxr-xr-x 38 root admin 1292 28 Jun 19:28 auto -r--r--r-- 1 root admin 19892 25 Jun 23:39 encoding.pm -r--r--r-- 1 root admin 6853 25 Jun 23:39 lib.pm -r--r--r-- 1 root admin 11044 25 Jun 23:39 mro.pm -r--r--r-- 1 root admin 997 25 Jun 23:39 ops.pm -r--r--r-- 1 root admin 13945 25 Jun 23:39 re.pm drwxr-xr-x 3 root admin 102 28 Jun 19:28 threads -r--r--r-- 1 root admin 33283 25 Jun 23:39 threads.pm So, it sort of seems to me that the permissions which perl5 got installed with for these modules has gotten mixed up somehow? I'm not really a perl user beyond enjoying it for massive directory-recursive find/replace operations within text files, so I haven't much of an idea what the permissions here are supposed to look like, and I'm not really sure how to go about determining how macports has gone and installed perl this way when it's otherwise worked without failure for years now. Does anyone have any recommendations for the sanest path towards rectifying this issue? Also, is there any interesting reason as to why the macports default for the perl5 port installs 5.12.4, and not 5.16.0, which has to be explicitly installed via the perl5.16 port? Thanks again!

    Read the article

  • Postfix sends email to spam (gmail, hotmail)

    - by razorxan
    I recently installed a postfix + dovecot + dkim multi domain, multi user, multi alias mail server on my debian squeeze system. Everything works except for one big issue that basically makes the whole thing useless: Every single email sent by my server goes straight into spam. (gmail, hotmail) First thing i did is doing the well known allaboutspam test and all is checked (green) except for the BATV thing (yellow): Reverse dns: green HELO Greeting: green RBL: green BATV: yellow SPF: green DKIM: green URIBL: green SPAMAssassin: green Greylist: green I'm really confused and i can't see a way to solve this issue. Ask me any detail if you need.

    Read the article

  • Can't locate RRDs.pm in @INC

    - by User4283
    Hi, If i run any of my perl script without "use lib qw( /opt/rrdtool-1.4.4/lib/perl );" after perl interpreter. I've to face the following error. Can't locate RRDs.pm in @INC (@INC contains: /usr/lib/perl5/site_perl/5.8.8/i386-linux-thread-multi /usr/lib/perl5/site_perl/5.8.8 /usr/lib/perl5/site_perl /usr/lib/perl5/vendor_perl/5.8.8/i386-linux-thread-multi /usr/lib/perl5/vendor_perl/5.8.8 /usr/lib/perl5/vendor_perl /usr/lib/perl5/5.8.8/i386-linux-thread-multi /usr/lib/perl5/5.8.8 .) Its hard for me to use: "use lib qw( /opt/rrdtool-1.4.4/lib/perl );" in all of my scripts because there are hundreds of scripts. Can anyone help to resolve this....?

    Read the article

  • Best way to simulate virtual networks

    - by user179529
    I'm wanting to have a vitual test network on either hyper-v or ESXI ( I Don't care which one) I want to have a multi network virtual environment. Lets say three networks: 192.168.1.0, 192.168.2.0 and 192.168.3.0. I want to use the networks to simulate a multi domain or multi site domain. Whats the best way of doing this. I have VMware workstation but it won't create more then one NAT virtual network. So how would I go about doing this in either Hyper-v 2012 or ESXI?

    Read the article

  • How to Best Optimize up Model Transforms, Import 3DS Animations Into XNA 4.0?

    - by Jason R. Mick
    Relative beginner to XNA, but trying to build a multi-purpose (3D) game frameworking in XNA 4. Been using the Reed (O'Reilly) and Cawood/McGee (McGraw Hill) guides. My question is multi-faceted and involves how to most efficiently handle models. I'm using 3DS Max 2010 with kw-Xport to ship out my models as .X files. Solved an early problem by using my depth stencil state. My models are now loading properly (yay!) and I have basic bounding working, I just want to optimize transforming models and get animations working as a next step. My questions on models are: 1. Do you have any suggestions for good resources on exporting 3DS animations to XNA? I've seen some resources on how to handle animations in XNA, but most skimp on basic topics of how to convert multi-animation 3DS files. For example how do I take one big long string of keyframed animations (say running, frame 5-20, climbing frames 25-45, etc.) and turned them into named XNA animations. To my understanding every XNA animation has to have a name, but I haven't seen any tutorials on creating a new named animation from a subset of frames. 2. Is it faster to load a model once and animate/transform that base model on the fly @ draw time, or to load multiple models? My game will have multiple enemies, and I've already seen some lagginess in XNA, so II want to make my code efficient... 3. I've heard people on app hub talking about making custom content processors for models-- what is the benefit of this? Does it speed up transforming or animating the models? If so, can you point me towards any good (model-centric) tutorials? (I've built a custom height map content processor to generate terrain, following Cawood's examples, I'm just a bit confused as to how a model content processor would be implemented.)

    Read the article

  • What characteristic of a software determines its operational scope?

    - by Dark Star1
    How can I classify whether a software is a medium with the ability to grow into an enterprise level software or whether it is already there? And how should I use the information to choose the appropriate language/tool to create the software? At first I was asking whether Java or PHP is the best tool to design enterprise level software, however I've suddenly realized that I am unable to put the software I'm tasked with redesigning into the proper scope so I'm lost. Edit: I guess I'm looking for tell tale signs in software that may tip the favour towards enterprise level type software in the sense of functional and operational characteristics; functional: what it does (multi-functional), Architectural characteristics such as highly modular. operational: multi-sourced and multi-homed, databases, e.t.c. To be honest the reason I ask is because I'm skeptical about the use of PhP to design a piece of employee and partial accounting software. I'm more tipping towards the use of JSP and an hmvc framework such as JSF, wickets, e.t.c. where as the other guy wants to go the PhP way although I'm not experienced with PhP, as far as I know it's not an OO oriented language hence my skepticsm towards it.

    Read the article

  • Unnamed Refactoring

    - by Liam McLennan
    This post is a message in a bottle. It cast it into the sea in the hope that it will one day return to me, stuffed to the cork with enlightenment. Yesterday I  tweeted, what is the name of the pattern where you replace a multi-way conditional with an associative array? I said ‘pattern’ but I meant ‘refactoring’. Anyway, no one replied so I will describe the refactoring here. Programmers tend to think imperatively, which leads to code such as: public int GetPopulation(string country) { if (country == "Australia") { return 22360793; } else if (country == "China") { return 1324655000; } else if (country == "Switzerland") { return 7782900; } else { throw new Exception("What ain't no country I ever heard of. They speak English in what?"); } } which is horrid. We can write a cleaner version, replacing the multi-way conditional with an associative array, treating the conditional as data: public int GetPopulation(string country) { if (!Populations.ContainsKey(country)) throw new Exception("The population of " + country + " could not be found."); return Populations[country]; } private Dictionary<string, int> Populations { get { return new Dictionary<string, int> { {"Australia", 22360793}, {"China", 1324655000}, {"Switzerland", 7782900} }; } } Does this refactoring already have a name? Otherwise, I propose Replace multi-way conditional with associative array

    Read the article

< Previous Page | 60 61 62 63 64 65 66 67 68 69 70 71  | Next Page >