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• Extending the Value of Your Oracle Financials Applications Investment with Document Capture, Imaging and Workflow

  Learn how Oracles end-to-end document imaging system extends the value and increases the automation of your Oracle Financials applications by using intelligent capture and imaging technologies to streamline high volume operations like accounts payable. Oracle Imaging and Process Management 11g (Oracle I/PM 11g) offers an integrated system that digitizes paper invoices, intelligently extracts header information and line item details, initiates automated workflows, and enables in-context access to imaged invoices directly from Oracle Applications, including Oracle E-Business Suite Financials and PeopleSoft Enterprise Financial Management. Come hear more about these certfied, standards-based application integrations as well as how document imaging can help your organization achieve quick, measurable ROI, by increasing efficiencies across financial departments, and reducing costs related to paper storage and handling.

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• Pretty URL in ADF Faces of JDeveloper 11.1.2.2

  - by Frank Nimphius

  Many features planned for Oracle JDeveloper 12c find their way into current releases of Oracle JDeveloper 11g R1 and JDeveloper 11g R2. One example of such a feature is "pretty URL" - or "clean URL" as the Oracle JDeveloper 11g R2 (11.1.2.2) documentation puts it. "A.2.3.24 Clean URLs Historically, ADF Faces has used URL parameters to hold information, such as window IDs and state. However, URL parameters can prevent search engines from recognizing when URLs are actually the same, and therefore interfere with analytics. URL parameters can also interfere with bookmarking. By default, ADF Faces removes URL parameters using the HTML5 History Management API. If that API is unavailable, then session cookies are used.You can also manually configure how URL parameters are removed using the context parameter oracle.adf.view.rich.prettyURL.OPTIONS. Set the parameter to off so that no parameters are removed. Set the parameter to useHistoryApi to only use the HTML5 History Management API. If a browser does not support this API, then no parameters will be removed. Set the parameter to useCookies to use session cookies to remove parameters. If the browser does not support cookies, then no parameters will be removed." See: http://docs.oracle.com/cd/E26098_01/web.1112/e16181/ap_config.htm#ADFUI12856 So basically, what this part in the documentation says is: In JDeveloper 11g R2 (11.1.2.2), Oracle ADF Faces automatically removes its internally used dynamic parameters from the URL You can influence the setting with the prettyURL.OPTIONS context option, which however is not recommended you to do because the default behavior is able to detect if the browser client supports HTML 5 History management or not. In the latter case it the uses a session cookie and if this doesn't work, falls back to the "old" URL parameter adding. The information that is not so explicit and clearly mentioned in the documentation is that this is only for ADF Faces parameters (such as _afrLoop, Adf-Window-Id, etc.), but not the ADF controller token (_adf.ctrl-state)! Removing the ADF controller token is an enhancement request that will be implemented in Oracle JDeveloper 12c

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• How to handle loading and keeping many bitmaps in an Android 2D game

  - by Lumis

  In an Android 2D game which is using SurfaceView where its onDraw is driven by a loop from a Thread, I use many bitmap sprites (sprite sheets) and two background size bitmaps, which are all loaded into memory at the start. It all works fine, however, when the activity is onPause or after reloading it few times, Android shows a tendency to wipe out the big bitmaps only, probably to free memory. Sometimes this happens even in the middle of loading this very activity. In order to counter this, I made a check in the onDraw method to test if the big bitmaps are still there and reload them if they are forcefully recycled by Android, before drawing them on Canvas. This solution may not be the most stable, and since I know that there are much more accomplished android game programmers here than myself, I hope you can reveal some tricks or secrets or at least provide some good hints, how to overcome this.

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• SQL 2014 does data the way developers want

  - by Rob Farley

  A post I’ve been meaning to write for a while, good that it fits with this month’s T-SQL Tuesday, hosted by Joey D’Antoni (@jdanton) Ever since I got into databases, I’ve been a fan. I studied Pure Maths at university (as well as Computer Science), and am very comfortable with Set Theory, which undergirds relational database concepts. But I’ve also spent a long time as a developer, and appreciate that that databases don’t exactly fit within the stuff I learned in my first year of uni, particularly the “Algorithms and Data Structures” subject, in which we studied concepts like linked lists. Writing in languages like C, we used pointers to quickly move around data, without a database in sight. Of course, if we had a power failure all this data was lost, as it was only persisted in RAM. Perhaps it’s why I’m a fan of database internals, of indexes, latches, execution plans, and so on – the developer in me wants to be reassured that we’re getting to the data as efficiently as possible. Back when SQL Server 2005 was approaching, one of the big stories was around CLR. Many were saying that T-SQL stored procedures would be a thing of the past because we now had CLR, and that obviously going to be much faster than using the abstracted T-SQL. Around the same time, we were seeing technologies like Linq-to-SQL produce poor T-SQL equivalents, and developers had had a gutful. They wanted to move away from T-SQL, having lost trust in it. I was never one of those developers, because I’d looked under the covers and knew that despite being abstracted, T-SQL was still a good way of getting to data. It worked for me, appealing to both my Set Theory side and my Developer side. CLR hasn’t exactly become the default option for stored procedures, although there are plenty of situations where it can be useful for getting faster performance. SQL Server 2014 is different though, through Hekaton – its In-Memory OLTP environment. When you create a table using Hekaton (that is, a memory-optimized one), the table you create is the kind of thing you’d’ve made as a developer. It creates code in C leveraging structs and pointers and arrays, which it compiles into fast code. When you insert data into it, it creates a new instance of a struct in memory, and adds it to an array. When the insert is committed, a small write is made to the transaction to make sure it’s durable, but none of the locking and latching behaviour that typifies transactional systems is needed. Indexes are done using hashes and using bw-trees (which avoid locking through the use of pointers) and by handling each updates as a delete-and-insert. This is data the way that developers do it when they’re coding for performance – the way I was taught at university before I learned about databases. Being done in C, it compiles to very quick code, and although these tables don’t support every feature that regular SQL tables do, this is still an excellent direction that has been taken. @rob_farley

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• StreamInsight 2.1, meet LINQ

  - by Roman Schindlauer

  Someone recently called LINQ “magic” in my hearing. I leapt to LINQ’s defense immediately. Turns out some people don’t realize “magic” is can be a pejorative term. I thought LINQ needed demystification. Here’s your best demystification resource: http://blogs.msdn.com/b/mattwar/archive/2008/11/18/linq-links.aspx. I won’t repeat much of what Matt Warren says in his excellent series, but will talk about some core ideas and how they affect the 2.1 release of StreamInsight. Let’s tell the story of a LINQ query. Compile time It begins with some code: IQueryable<Product> products = ...; var query = from p in products             where p.Name == "Widget"             select p.ProductID; foreach (int id in query) {     ... When the code is compiled, the C# compiler (among other things) de-sugars the query expression (see C# spec section 7.16): ... var query = products.Where(p => p.Name == "Widget").Select(p => p.ProductID); ... Overload resolution subsequently binds the Queryable.Where<Product> and Queryable.Select<Product, int> extension methods (see C# spec sections 7.5 and 7.6.5). After overload resolution, the compiler knows something interesting about the anonymous functions (lambda syntax) in the de-sugared code: they must be converted to expression trees, i.e.,“an object structure that represents the structure of the anonymous function itself” (see C# spec section 6.5). The conversion is equivalent to the following rewrite: ... var prm1 = Expression.Parameter(typeof(Product), "p"); var prm2 = Expression.Parameter(typeof(Product), "p"); var query = Queryable.Select<Product, int>(     Queryable.Where<Product>(         products,         Expression.Lambda<Func<Product, bool>>(Expression.Property(prm1, "Name"), prm1)),         Expression.Lambda<Func<Product, int>>(Expression.Property(prm2, "ProductID"), prm2)); ... If the “products” expression had type IEnumerable<Product>, the compiler would have chosen the Enumerable.Where and Enumerable.Select extension methods instead, in which case the anonymous functions would have been converted to delegates. At this point, we’ve reduced the LINQ query to familiar code that will compile in C# 2.0. (Note that I’m using C# snippets to illustrate transformations that occur in the compiler, not to suggest a viable compiler design!) Runtime When the above program is executed, the Queryable.Where method is invoked. It takes two arguments. The first is an IQueryable<> instance that exposes an Expression property and a Provider property. The second is an expression tree. The Queryable.Where method implementation looks something like this: public static IQueryable<T> Where<T>(this IQueryable<T> source, Expression<Func<T, bool>> predicate) {     return source.Provider.CreateQuery<T>(     Expression.Call(this method, source.Expression, Expression.Quote(predicate))); } Notice that the method is really just composing a new expression tree that calls itself with arguments derived from the source and predicate arguments. Also notice that the query object returned from the method is associated with the same provider as the source query. By invoking operator methods, we’re constructing an expression tree that describes a query. Interestingly, the compiler and operator methods are colluding to construct a query expression tree. The important takeaway is that expression trees are built in one of two ways: (1) by the compiler when it sees an anonymous function that needs to be converted to an expression tree, and; (2) by a query operator method that constructs a new queryable object with an expression tree rooted in a call to the operator method (self-referential). Next we hit the foreach block. At this point, the power of LINQ queries becomes apparent. The provider is able to determine how the query expression tree is evaluated! The code that began our story was intentionally vague about the definition of the “products” collection. Maybe it is a queryable in-memory collection of products: var products = new[]     { new Product { Name = "Widget", ProductID = 1 } }.AsQueryable(); The in-memory LINQ provider works by rewriting Queryable method calls to Enumerable method calls in the query expression tree. It then compiles the expression tree and evaluates it. It should be mentioned that the provider does not blindly rewrite all Queryable calls. It only rewrites a call when its arguments have been rewritten in a way that introduces a type mismatch, e.g. the first argument to Queryable.Where<Product> being rewritten as an expression of type IEnumerable<Product> from IQueryable<Product>. The type mismatch is triggered initially by a “leaf” expression like the one associated with the AsQueryable query: when the provider recognizes one of its own leaf expressions, it replaces the expression with the original IEnumerable<> constant expression. I like to think of this rewrite process as “type irritation” because the rewritten leaf expression is like a foreign body that triggers an immune response (further rewrites) in the tree. The technique ensures that only those portions of the expression tree constructed by a particular provider are rewritten by that provider: no type irritation, no rewrite. Let’s consider the behavior of an alternative LINQ provider. If “products” is a collection created by a LINQ to SQL provider: var products = new NorthwindDataContext().Products; the provider rewrites the expression tree as a SQL query that is then evaluated by your favorite RDBMS. The predicate may ultimately be evaluated using an index! In this example, the expression associated with the Products property is the “leaf” expression. StreamInsight 2.1 For the in-memory LINQ to Objects provider, a leaf is an in-memory collection. For LINQ to SQL, a leaf is a table or view. When defining a “process” in StreamInsight 2.1, what is a leaf? To StreamInsight a leaf is logic: an adapter, a sequence, or even a query targeting an entirely different LINQ provider! How do we represent the logic? Remember that a standing query may outlive the client that provisioned it. A reference to a sequence object in the client application is therefore not terribly useful. But if we instead represent the code constructing the sequence as an expression, we can host the sequence in the server: using (var server = Server.Connect(...)) {     var app = server.Applications["my application"];     var source = app.DefineObservable(() => Observable.Range(0, 10, Scheduler.NewThread));     var query = from i in source where i % 2 == 0 select i; } Example 1: defining a source and composing a query Let’s look in more detail at what’s happening in example 1. We first connect to the remote server and retrieve an existing app. Next, we define a simple Reactive sequence using the Observable.Range method. Notice that the call to the Range method is in the body of an anonymous function. This is important because it means the source sequence definition is in the form of an expression, rather than simply an opaque reference to an IObservable<int> object. The variation in Example 2 fails. Although it looks similar, the sequence is now a reference to an in-memory observable collection: var local = Observable.Range(0, 10, Scheduler.NewThread); var source = app.DefineObservable(() => local); // can’t serialize ‘local’! Example 2: error referencing unserializable local object The Define* methods support definitions of operator tree leaves that target the StreamInsight server. These methods all have the same basic structure. The definition argument is a lambda expression taking between 0 and 16 arguments and returning a source or sink. The method returns a proxy for the source or sink that can then be used for the usual style of LINQ query composition. The “define” methods exploit the compile-time C# feature that converts anonymous functions into translatable expression trees! Query composition exploits the runtime pattern that allows expression trees to be constructed by operators taking queryable and expression (Expression<>) arguments. The practical upshot: once you’ve Defined a source, you can compose LINQ queries in the familiar way using query expressions and operator combinators. Notably, queries can be composed using pull-sequences (LINQ to Objects IQueryable<> inputs), push sequences (Reactive IQbservable<> inputs), and temporal sequences (StreamInsight IQStreamable<> inputs). You can even construct processes that span these three domains using “bridge” method overloads (ToEnumerable, ToObservable and To*Streamable). Finally, the targeted rewrite via type irritation pattern is used to ensure that StreamInsight computations can leverage other LINQ providers as well. Consider the following example (this example depends on Interactive Extensions): var source = app.DefineEnumerable((int id) =>     EnumerableEx.Using(() =>         new NorthwindDataContext(), context =>             from p in context.Products             where p.ProductID == id             select p.ProductName)); Within the definition, StreamInsight has no reason to suspect that it ‘owns’ the Queryable.Where and Queryable.Select calls, and it can therefore defer to LINQ to SQL! Let’s use this source in the context of a StreamInsight process: var sink = app.DefineObserver(() => Observer.Create<string>(Console.WriteLine)); var query = from name in source(1).ToObservable()             where name == "Widget"             select name; using (query.Bind(sink).Run("process")) {     ... } When we run the binding, the source portion which filters on product ID and projects the product name is evaluated by SQL Server. Outside of the definition, responsibility for evaluation shifts to the StreamInsight server where we create a bridge to the Reactive Framework (using ToObservable) and evaluate an additional predicate. It’s incredibly easy to define computations that span multiple domains using these new features in StreamInsight 2.1! Regards, The StreamInsight Team

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• Announcing Key Functional White Papers for SIM and ReIM

  - by Oracle Retail Documentation Team

  Oracle Retail has published two new documents on My Oracle Support (https://support.oracle.com)  that provide partners and retailers with deeper functional information about two products: Oracle Retail Store Inventory Management (SIM) and Oracle Retail Invoice Matching. Oracle Retail Store Inventory Management Item Configuration White Paper (Doc ID 1507221.1) There is functionality within the Store Inventory Management system related to item configuration that spans across multiple concepts that apply to the application as a whole rather than to a specific area. This white paper covers numerous topics around item configuration including: Item Transaction Levels Item Long Description Pack Size Standard Unit of Measure Standard Unit of Measure Conversion Pack Items Simple Pack Conversion Items (Notional Packs) Ranging Items Item Status Non-Sellable Items Type-2 Item Recognition UPC-E Barcodes Non-Inventory Items Consignment and Concession Items Quick Response Codes Oracle Retail Invoice Matching Financial Transactions (Doc ID 1500209.1) This document explains the financial transactions that are posted by Oracle Retail Invoice Matching (ReIM). The scope of the document is limited to ReIM transactions only, and does not explain Retail Merchandising System (RMS), Finance, or Account Receivable transactions. ReIM follows the double-entry accounting standard, which works by recording the debit and credit of each financial transaction belonging to each party involved. Each transaction means a profit to one account (debit) and a loss to another account (credit). Full invoice match processing is completed in ReIM with payment recommendations communicated to Oracle Accounts Payable. ReIM matches merchandise orders and receipts against merchandise invoices, performing automated and manual matching, as well as discrepancy-resolution processing. Matched invoices are posted to interface staging tables specifying the amount and date to pay, vendor, site ID, General Ledger Chart of Accounts (GL CoA) information, and payment terms. Other payables documents, including debit memos, credit memos and credit notes are also interfaced to Accounts Payable through the ReIM staging tables (IM_AP_STAGE_HEAD and IM_AP_STAGE_DETAIL). For information about how ReIM engages in this processing, see the latest Oracle Retail Invoice Matching Operations Guide. Certain ReIM transactions are not interfaced to Oracle Payables, but instead are interfaced to Oracle General Ledger through the IM_FINANCIAL_STAGE table. When analyzing transactions posted through the staging tables, retailers should note the transaction type, Standard/Credit, as well as the sign in the amount field. Technically, a negative sign on a credit transaction changes the transaction to a debit entry, and vice versa. This document is concerned about the financial meaning of the transactions, and will avoid a discussion of negative numbers in T-charts.

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• New White Papers Available

  - by mattande

  New Master Data Services white papers are now available on MSDN. For an application-agnostic overview of Master Data Management, see Organizational Approaches to Master Data Management . For the steps needed to configure Master Data Services to work with a SharePoint workflow, see SharePoint Workflow Integration with Master Data Services . Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!...(read more)

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• Introduction to Oracle's Primavera P6 Analytics

  Primavera P6 Analytics is a new product offering from Oracle which utilizes the Oracle BI product, Oracle Business Intelligence Suite Enterprise Edition Plus (Oracle BI EE Plus), to provide root-cause analysis, manage by exception and early-warning problem indicators from your P6 Enterprise Project Portfolio Management projects and portfolios. Out of the box reports and dashboards provide drill-down and drill-through insight to action where you can jump directly into the problem areas in Primavera P6 Enterprise Project Portfolio Management to course-correct or implement best practices based on successful project implementations. A complete view into all of your projects histories provides the trends and analysis needed to identify the best course of action to take next.

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• Why wifi doesn't work in this case?

  - by xRobot

  I have a brand new notebook where I have installed Windows 7 and Ubuntu 12.04 LTS 64bit in dual boot. In windows 7 wifi works but in Ubuntu not. Could you help me please ? iwconfig lo no wireless extensions. wlan0 IEEE 802.11bgn ESSID:off/any Mode:Managed Access Point: Not-Associated Tx-Power=20 dBm Retry long limit:7 RTS thr:off Fragment thr:off Encryption key:off Power Management:off eth0 no wireless extensions. lshw -C network *-network description: Ethernet interface product: RTL8111/8168B PCI Express Gigabit Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:01:00.0 logical name: eth0 version: 07 serial: b4:b5:1f:1b:9a:56 size: 10Mbit/s capacity: 1Gbit/s width: 64 bits clock: 33MHz capabilities: pm msi pciexpress msix vpd bus_master cap_list ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=r8169 driverversion=2.3LK-NAPI duplex=half firmware=rtl8168e-3_0.0.4 03/27/12 latency=0 link=no multicast=yes port=MII speed=10Mbit/s resources: irq:41 ioport:3000(size=256) memory:c2404000-c2404fff memory:c2400000-c2403fff *-network description: Wireless interface product: Ralink corp. vendor: Ralink corp. physical id: 0 bus info: pci@0000:02:00.0 logical name: wlan0 version: 00 serial: 84:4b:f4:0a:3a:22 width: 32 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list ethernet physical wireless configuration: broadcast=yes driver=rt2800pci driverversion=3.2.0-31-generic firmware=0.34 latency=0 link=no multicast=yes wireless=IEEE 802.11bgn resources: irq:18 memory:c2500000-c250ffff lspci | grep -i net 01:00.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL8111/8168B PCI Express Gigabit Ethernet controller (rev 07) 02:00.0 Network controller: Ralink corp. Device 539a iwlist scan lo Interface doesn't support scanning. wlan0 Interface doesn't support scanning : Device or resource busy eth0 Interface doesn't support scanning. lsmod Module Size Used by rfcomm 47604 0 bnep 18281 2 bluetooth 180104 10 rfcomm,bnep parport_pc 32866 0 ppdev 17113 0 snd_hda_codec_hdmi 32474 1 snd_hda_codec_realtek 224173 1 joydev 17693 0 hp_wmi 18092 0 sparse_keymap 13890 1 hp_wmi snd_hda_intel 33773 3 snd_hda_codec 127706 3 snd_hda_codec_hdmi,snd_hda_codec_realtek,snd_hda_intel snd_hwdep 13668 1 snd_hda_codec snd_pcm 97188 3 snd_hda_codec_hdmi,snd_hda_intel,snd_hda_codec snd_seq_midi 13324 0 snd_rawmidi 30748 1 snd_seq_midi snd_seq_midi_event 14899 1 snd_seq_midi snd_seq 61896 2 snd_seq_midi,snd_seq_midi_event snd_timer 29990 2 snd_pcm,snd_seq snd_seq_device 14540 3 snd_seq_midi,snd_rawmidi,snd_seq psmouse 97362 0 snd 78855 16 snd_hda_codec_hdmi,snd_hda_codec_realtek,snd_hda_intel,snd_hda_codec,snd_hwdep,snd_pcm,snd_rawmidi,snd_seq,snd_timer,snd_seq_device arc4 12529 2 rt2800pci 18715 0 rt2800lib 58925 1 rt2800pci crc_ccitt 12667 1 rt2800lib rt2x00pci 14577 1 rt2800pci rt2x00lib 51144 3 rt2800pci,rt2800lib,rt2x00pci mac80211 506816 3 rt2800lib,rt2x00pci,rt2x00lib soundcore 15091 1 snd mac_hid 13253 0 uvcvideo 72627 0 videodev 98259 1 uvcvideo v4l2_compat_ioctl32 17128 1 videodev wmi 19256 1 hp_wmi i915 473240 3 cfg80211 205544 2 rt2x00lib,mac80211 eeprom_93cx6 12725 1 rt2800pci drm_kms_helper 46978 1 i915 drm 242038 4 i915,drm_kms_helper i2c_algo_bit 13423 1 i915 snd_page_alloc 18529 2 snd_hda_intel,snd_pcm mei 41616 0 serio_raw 13211 0 video 19596 1 i915 lp 17799 0 parport 46562 3 parport_pc,ppdev,lp usbhid 47199 0 hid 99559 1 usbhid r8169 62099 0 rfkill list: # rfkill list 0: phy0: Wireless LAN Soft blocked: no Hard blocked: no 1: hp-wifi: Wireless LAN Soft blocked: no Hard blocked: no

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• Move Data into the Grid for Scalable, Predictable Response Times

  - by JuergenKress

  CloudTran is pleased to introduce the availability of the CloudTran Transaction and Persistence Manager for creating scalable, reliable data services on the Oracle Coherence In-Memory Data Grid (IMDG). Use of IMDG architectures has been key to handling today’s web-scale loads because it eliminates database latency by storing important and frequently access data in memory instead of on disk. The CloudTran product lets developers easily use an IMDG for full ACID-compliant transactions without having to be concerned about the location or spread of data. The system has its own implementation of fast, scalable distributed transactions that does NOT depend on XA protocols but still guarantees all ACID properties. Plus, CloudTran asynchronously replicates data going into the IMDG to back-end datastores and back-up data centers, again ensuring ACID properties. CloudTran can be accessed through Java Persistence API (JPA via TopLink Grid) and now, through a new Low-Level API, or LLAPI. This is ideal for use in SOA applications that need data reliability, high availability, performance, and scalability. Still in limited beta release, the LLAPI gives developers the ability to use standard put/remove logic available in Coherence and then wrap logic with simple Spring annotations or XML+AspectJ to start transactions. An important feature of LLAPI is the ability to join transactions. This is a common outcome for SOA applications that need to reduce network traffic by aggregating data into single cache entries and then doing SOA service processing in the node holding the data. This results in the need to orchestrate transaction processing across multiple service calls. CloudTran has the capability to handle these “multi-client” transactions at speed with no loss in ACID properties. Developing software around an IMDG like Oracle Coherence is an important choice for today’s web-scale applications and services. But this introduces new architectural considerations to maintain scalability in light of increased network loads and data movement. Without using CloudTran, developers are faced with an incredibly difficult task to ensure data reliability, availability, performance, and scalability when working with an IMDG. Working with highly distributed data that is entirely volatile while stored in memory presents numerous edge cases where failures can result in data loss. The CloudTran product takes care of all of this, leaving developers with the confidence and peace of mind that all data is processed correctly. For those interested in evaluating the CloudTran product and IMDGs, take a look at this link for more information: http://www.CloudTran.com/downloadAPI.php, or, send your questions to [email protected]. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. BlogTwitterLinkedInMixForumWiki Technorati Tags: Coherence,cloudtran,cache,WebLogic Community,Oracle,OPN,Jürgen Kress

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• Mnesia: A Distributed DBMS Rooted in Concurrency

  Find out what makes Mnesia, the Erlang-based database management system, perfect for distribution across a network of computers.

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• Microsoft's Dynamics &quot;CRM 5&quot; Progressing Through Previews

  The third community technology preview of Microsoft's Dynamics CRM software for customer relationship management is now available.

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• How can I make KDE faster in Ubuntu 12.04. It's very slow

  - by Rizwan Rifan

  I installed the kubuntu-desktop package in Ubuntu 12.04 LTS, but the problem is KDE responses very slowly. If I click on an application's icon to run it, it appears after 10 seconds and sometimes does not appear at all. It hangs all the time. The cursor is almost impossible to follow because of the lag. I have read on the Internet that Unity uses more memory and CPU than KDE. But on my PC Unity runs smoothly and KDE does not. So what should I do to make KDE as fast, responsive and smooth as Unity? My specifications are as follows: RAM: 1.5 GB (DDR2) Processor: 3 GHz Dual Core Graphics Card: Intel HD graphics with 256 MB memory.

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• Natural User Interfaces: Notes From the Field

  We're early on in what will be a sea change in UI design User interface - Human-Computer Interaction - Business - Management - Organizational Change

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• What kind of position matches my skills, experience and interests? [closed]

  - by Ryan

  I work in a large firm and my current job covers a variety of different duties. Due to several factors I am seriously considering finding a new job (hours, pay-cut, limited career growth). I have worked for the company nearly 4 years and almost 2 years ago I transitioned into more of a business analyst role (previously I was working in a client facing role for our audit group). In this role I have overseen all aspects of the development of a large scale re-platforming of our firm's key tool in analyzing investment portfolios. I gathered requirements, wrote specs, designed the UI and functionality, worked closely with developers (onshore and offshore) to see to it the implementation was correct, managed schedules and was the lead tester. This is a large scale system used by thousands of people around the world. I've also written Excel macros, reports in SQL, given trainings, written technical manuals, interfaced with senior managers and partners, etc. I've been on a couple interviews sporadically, most of which were for positions aimed at higher management consulting type positions, dealing with strategy, overall process management, project management, etc. What really interests me is the technical stuff and overseeing a project from beginning to end (although I would rather not have to do so many of the tasks on my own). I genuinely like a lot of what I do, but the company culture and attitude towards overworking people combined with my recent pay-cut (my overtime was cut due to a promotion to a higher level) has lead me to want to seek work elsewhere. The problem is - what type of work could I realistically do? I feel like traditional business analysis is too much business and not enough tech stuff, and I've really taken a shine lately to beefing up my programming abilities and creating small programs to automate things around work. I also feel that because my actual years of experience as a business analyst (figure 1.5 years realistically) puts me at a junior level doing a lot of grunt requirements gathering, when the work that I have been doing with my current company is more in line with what a Program Manager does (depending on your definition I guess). So in reality, when I'm job hunting I get a bit perplexed because I feel like the traditional BA stuff wouldn't really suit me, and even if it did it's usually something along the lines of 5-10 years experience for the type of work that is similar to what I've done (and I've also found most BA jobs to be contract only which at the moment I'm not too keen on). Program Manager is something that interests me, but again I feel like the experience is lacking because that's a much more senior position. Am I in some kind of career no-man's land? Any idea what would best suit me given my experience and abilities, as well as my interests? I plan to keep learning programming on the side, but don't expect to get a job being a straight programmer given my relative inexperience with programming.

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• WMemoryProfiler is Released

  - by Alois Kraus

  What is it? WMemoryProfiler is a managed profiling Api to aid integration testing. This free library can get managed heap statistics and memory usage for your own process (remember testing) and other processes as well. The best thing is that it does work from .NET 2.0 up to .NET 4.5 in x86 and x64. To make it more interesting it can attach to any running .NET process. The reason why I do mention this is that commercial profilers do support this functionality only for their professional editions. An normally only since .NET 4.0 since the profiling API only since then does support attaching to a running process. This thing does differ in many aspects from “normal” profilers because while profiling yourself you can get all objects from all managed heaps back as an object array. If you ever wanted to change the state of an object which does only exist a method local in another thread you can get your hands on it now … Enough theory. Show me some code /// <summary> /// Show feature to not only get statisics out of a process but also the newly allocated /// instances since the last call to MarkCurrentObjects. /// GetNewObjects does return the newly allocated objects as object array /// </summary> static void InstanceTracking() { using (var dumper = new MemoryDumper()) // if you have problems use to see the debugger windows true,true)) { dumper.MarkCurrentObjects(); Allocate(); ILookup<Type, object> newObjects = dumper.GetNewObjects() .ToLookup( x => x.GetType() ); Console.WriteLine("New Strings:"); foreach (var newStr in newObjects[typeof(string)] ) { Console.WriteLine("Str: {0}", newStr); } } } … New Strings: Str: qqd Str: String data: Str: String data: 0 Str: String data: 1 … This is really hot stuff. Not only you can get heap statistics but you can directly examine the new objects and make queries upon them. When I do find more time I can reconstruct the object root graph from it from my own process. It this cool or what? You can also peek into the Finalization Queue to check if you did accidentally forget to dispose a whole bunch of objects … /// <summary> /// .NET 4.0 or above only. Get all finalizable objects which are ready for finalization and have no other object roots anymore. /// </summary> static void NotYetFinalizedObjects() { using (var dumper = new MemoryDumper()) { object[] finalizable = dumper.GetObjectsReadyForFinalization(); Console.WriteLine("Currently {0} objects of types {1} are ready for finalization. Consider disposing them before.", finalizable.Length, String.Join(",", finalizable.ToLookup( x=> x.GetType() ) .Select( x=> x.Key.Name)) ); } } How does it work? The W of WMemoryProfiler is a good hint. It does employ Windbg and SOS dll to do the heavy lifting and concentrates on an easy to use Api which does hide completely Windbg. If you do not want to see Windbg you will never see it. In my experience the most complex thing is actually to download Windbg from the Windows 8 Stanalone SDK. This is described in the Readme and the exception you are greeted with if it is missing in much greater detail. So I will not go into this here.   What Next? Depending on the feedback I do get I can imagine some features which might be useful as well Calculate first order GC Roots from the actual object graph Identify global statics in Types in object graph Support read out of finalization queue of .NET 2.0 as well. Support Memory Dump analysis (again a feature only supported by commercial profilers in their professional editions if it is supported at all) Deserialize objects from a memory dump into a live process back (this would need some more investigation but it is doable) The last item needs some explanation. Why on earth would you want to do that? The basic idea is to store in your live process some logging/tracing data which can become quite big but since it is never written to it is very fast to generate. When your process crashes with a memory dump you could transfer this data structure back into a live viewer which can then nicely display your program state at the point it did crash. This is an advanced trouble shooting technique I have not seen anywhere yet but it could be quite useful. You can have here a look at the current feature list of WMemoryProfiler with some examples.   How To Get Started? First I would download the released source package (it is tiny). And compile the complete project. Then you can compile the Example project (it has this name) and uncomment in the main method the scenario you want to check out. If you are greeted with an exception it is time to install the Windows 8 Standalone SDK which is described in great detail in the exception text. Thats it for the first round. I have seen something more limited in the Java world some years ago (now I cannot find the link anymore) but anyway. Now we have something much better.

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• returning a heap block by reference in c++

  - by basicR

  I was trying to brush up my c++ skills. I got 2 functions: concat_HeapVal() returns the output heap variable by value concat_HeapRef() returns the output heap variable by reference When main() runs it will be on stack,s1 and s2 will be on stack, I pass the value by ref only and in each of the below functions, I create a variable on heap and concat them. When concat_HeapVal() is called it returns me the correct output. When concat_HeapRef() is called it returns me some memory address (wrong output). Why? I use new operator in both the functions. Hence it allocates on heap. So when I return by reference, heap will still be VALID even when my main() stack memory goes out of scope. So it's left to OS to cleanup the memory. Right? string& concat_HeapRef(const string& s1, const string& s2) { string *temp = new string(); temp->append(s1); temp->append(s2); return *temp; } string* concat_HeapVal(const string& s1, const string& s2) { string *temp = new string(); temp->append(s1); temp->append(s2); return temp; } int main() { string s1,s2; string heapOPRef; string *heapOPVal; cout<<"String Conact Experimentations\n"; cout<<"Enter s-1 : "; cin>>s1; cout<<"Enter s-2 : "; cin>>s2; heapOPRef = concat_HeapRef(s1,s2); heapOPVal = concat_HeapVal(s1,s2); cout<<heapOPRef<<" "<<heapOPVal<<" "<<endl; return -9; }

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• Bring 2 GB Large Pages to Solaris 10

  - by Giri Mandalika

  Few facts: 8 KB is the default page size on Oracle Solaris 10 and 11 as of this writing Both hardware and software must have support for 2 GB large pages SPARC T4 processors are capable of supporting 2 GB pages Oracle Solaris 11 kernel has in-built support for 2 GB pages Oracle Solaris 10 has no default support for 2 GB pages Memory intensive 64-bit applications may benefit the most from using 2 GB pages Prerequisites: OS: Oracle Solaris 10 8/11 (Update 10) or later Hardware: Oracle servers with SPARC T4 processors e.g., SPARC T4-1, T4-2 or T4-4, SPARC SuperCluster T4-4 Steps to enable 2 GB large pages on Oracle Solaris 10: Install the latest kernel patch or ensure that 147440-04 or later was installed Check the patch download instructions Add the following line to /etc/system and reboot set max_uheap_lpsize=0x80000000 Finally check the output of the following command when the system is back online pagesize -a eg., % pagesize -a 8192 <-- 8K 65536 <-- 64K 4194304 <-- 4M 268435456 <-- 256M 2147483648 <-- 2G % uname -a SunOS jar-jar 5.10 Generic_147440-21 sun4v sparc sun4v Also See: Solaris 9 or later: More performance with Large Pages (MPSS) Large page support for instructions (text) in Solaris 10 1/06 Solaris: How To Disable Out Of The Box (OOB) Large Page Support? Memory fragmentation / Large Pages on Solaris x86

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• CommVault Moves Data Storage to the Cloud

  Storage management and backup software vendor CommVault is giving its Simpana software new cloud storage capabilities.

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• Does anyone know of any work being done on EEE transformer?

  - by Matthew

  I recently got a (few) nexus 7's to install and enjoy ubuntu on. Which is great and all, but from what I've read online and the issues I have experienced myself the Nexus 7 has way to many serious defects. Such as: Audio jack not working Screen lifting Screen ghosting out (The very first one) Instant drop in battery life (happened to one of mine) Internal memory malfunctions (The latest issue I've had, the internal memory went completely bad) If you need to read other horror stories you can simply check out XDA developers forum, lots of people are having issues. I'd really like to enjoy ubuntu on a different device, I think the Transformer prime would make way more sense (usability and stability wise). Have there been any hacks/mods to get it running on this device?

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• Desktop dims when Thunderbird and Firefox are launched

  - by deshmukh

  I am running Ubuntu 12.04 (almost default install regularly updated) Unity interface on ASUS X53U (AMD Brazos Dual Core C60 with 2GB RAM). On launching Thunderbird and Firefox, the application dims and the cursor changes to wait mode. In case of Thunderbird, this is most pronounced with the wait time of up to a minute. Memory status checked with free indicates around 500MB of free memory on such occasions. The OS is stable and I can switch to a different work-space, etc. What could this be? Is this something normal?

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• Product Launch: Oracle Optimized Storage: Solutions for Simplifying IT

  - by swalker

  On July 18, 2012 at 10am PT 17pm UK Time, Oracle is hosting an online storage launch event featuring Mark Hurd, John Fowler, and several other Oracle executives.  This event will consist of 3 different webcasts, all detailing our latest messaging, momentum, and product innovations. Highlights include: Even in the most advanced data centers, outdated and inefficient storage management techniques are stifling business innovation. But now you can deploy Oracle’s optimized storage, the industry’s most advanced, easy-to-use, and cost-effective enterprise storage solutions. Learn about the benefits of Oracle’s latest storage innovations, including: How you can take on the biggest enterprise storage infrastructure challenges—including reducing costs and increasing data management efficiency A deep-dive discussion into Oracle’s storage innovations, featuring the leaders of Oracle’s storage development organizations A first look at Oracle’s newest scalable storage solution for midsize businesses Join Mark Hurd and John Fowler for this important online launch event. Register NOW

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• Il PLM per l'industria Famaceutica

  - by Paolo Leveghi

  Di fronte ad una platea di rappresentanti dell'industria farmaceutica si è svolto Venerdi 9 Novembre a Roma un seminario dal titolo: "INNOVAZIONE TECNOLOGICA ED EFFICENZA OPERATIVA", che si poneva l'obiettivo di stimolare nei presenti la curiosità intorno ai temi del Project Management e del Product Lifecycle Management. Partendo dalla teoria, illustrata dal Prof. Corvaglia, ci si è poi addentrati nel pratico, con esempi e testimonianze di aziende italiane ed estere.Questi gli interventi: L'esperienza nella gestione di vita del prodotto  La nuova sfida del farmaco: rimanere “originali”  Paolo Prandini, Master Principal Sales Consultant, Oracle Italy Pharmaceutical Global Product Data ManagementJean-Pierre Merx | Sales Director Southern Europe, Oracle L'interazione è stata viva, testimoniata dalle tante domande sollevate durante gli interventi ed al proanzo che ha seguito i lavori. Se avete interesse a ricevere copia delle presentazioni, inviate una mail a paolo.leveghi-AT-oracle.com

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• How to understand Linux kernel source code for a beginner?

  - by user16867

  I am a student interested in working on Memory Management, particularly the page replacement component of the linux kernel. What are the different guides that can help me to begin understanding the kernel source? I have tried to read the book Understanding the Linux Virutal Memory Manager by Mel Gorman and Understanding the Linux Kernel by Cesati and Bovet, but they do not explain the flow of control through the code. They only end up explaining various data structures used and the work various functions perform. This makes the code more confusing. My project deals with tweaking the page replacement algorithm in a mainstream kernel and analyse its performance for a set of workloads. Is there a flavor of the linux kernel that would be easier to understand(if not the linux-2.6.xx kernel)?

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• What are these errors when I try to "make" the driver of my wireless network?

  - by Tom Brito

  I got got a wireless to usb adapter, and I'm having some trouble to install the drivers on Ubuntu. First of all, the readme file say to use the "make" command, and I already got errors: $ make make[1]: Entering directory `/usr/src/linux-headers-2.6.35-22-generic' CC [M] /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.o /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c: In function ‘rtl8192_usb_probe’: /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c:12325: error: ‘struct net_device’ has no member named ‘open’ /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c:12326: error: ‘struct net_device’ has no member named ‘stop’ /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c:12327: error: ‘struct net_device’ has no member named ‘tx_timeout’ /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c:12328: error: ‘struct net_device’ has no member named ‘do_ioctl’ /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c:12329: error: ‘struct net_device’ has no member named ‘set_multicast_list’ /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c:12330: error: ‘struct net_device’ has no member named ‘set_mac_address’ /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c:12331: error: ‘struct net_device’ has no member named ‘get_stats’ /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.c:12332: error: ‘struct net_device’ has no member named ‘hard_start_xmit’ make[2]: *** [/home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u/r8192U_core.o] Error 1 make[1]: *** [_module_/home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/HAL/rtl8192u] Error 2 make[1]: Leaving directory `/usr/src/linux-headers-2.6.35-22-generic' make: *** [all] Error 2 /home/wellington/Desktop/rtl8192su_linux_2.4_2.6.0003.0301.2010/ is the path where I copied the drivers on my computer. Any idea how to solve this? (I don't even know what the error is...) update: sudo lshw -class network *-network description: Ethernet interface product: RTL8111/8168B PCI Express Gigabit Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:01:00.0 logical name: eth0 version: 03 serial: 78:e3:b5:e7:5f:6e size: 10MB/s capacity: 1GB/s width: 64 bits clock: 33MHz capabilities: pm msi pciexpress msix vpd bus_master cap_list rom ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=r8169 driverversion=2.3LK-NAPI duplex=half latency=0 link=no multicast=yes port=MII speed=10MB/s resources: irq:42 ioport:d800(size=256) memory:fbeff000-fbefffff memory:faffc000-faffffff memory:fbec0000-fbedffff *-network DISABLED description: Wireless interface physical id: 2 logical name: wlan0 serial: 00:26:18:a1:ae:64 capabilities: ethernet physical wireless configuration: broadcast=yes multicast=yes wireless=802.11b/g

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