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  • GLOBALFOUNDRIES Accelerates Innovation while Protecting IP with AutoVue for Agile

    - by Celine Beck
    GLOBALFOUNDRIES is a full-service semiconductor foundry with a global footprint. Launched in March 2009, the company quickly grew to be the second-largest foundry in the world, providing a unique combination of advanced technology and manufacturing to more than 160 customers. With operations in Singapore, Germany, and the United States, GLOBALFOUNDRIES is the only foundry that offers the flexibility of having secure manufacturing centers that span three continents.We sat down with Kishan Shah, Manager of PLM Practice at GLOBALFOUNDRIES so that he can explain how Oracle AutoVue integrated with Oracle Agile PLM supports the company’s mission of “turning sand into gold” ; enabling collaborative design-for-manufacturing and fostering innovation, all while protecting critical intellectual property.You can watch the video interview by clicking here. A customer success story is also available on Oracle’s website. 

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  • Saving an interface instance into a Bundle

    - by user22241
    All I've have an interface that allows me to switch between different scenes in my Android game. When the home key is pressed, I am saving all of my states (score, sprite positions etc) into a Bundle. When re-launching, I am restoring all my states and all is OK - however, I can't figure out how to save my 'Scene', thus when I return, it always starts at the default screen which is the 'Main Menu'. How would I go about saving my 'Scene' (into a Bundle)? Code import android.view.MotionEvent; public interface Scene{ void render(); void updateLogic(); boolean onTouchEvent(MotionEvent event); } I assume the interface is the relevant piece of code which is why I've posted that snippet. I set my scene like so: ('options' is an object of my Options class which extends MainMenu (Another custom class) which, in turn implements the interface 'Scene') SceneManager.getInstance().setCurrentScene(options); //Current scene is optionscreen

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  • Why should I adopt MVC?

    - by Andrew
    I decided to get my hands wet and got the YII framework for PHP. I created my first application, then created new controller, model and view. Connected to database, got my record passed from controller to the view and printed the hello world. I am confused now. If I have to do the same thing for each page, this seems like a nightmare to me. In each controller I have to do a lot of same operations - declare variables, and pass them to views. I also need to create models for each page and this is all confusing to me. In my idea the main goal of development is to avoid duplication, but what I see here is lots and lots of duplicated code. Please advise and clarify. Maybe you could suggest a good reading about MVC and coding patterns and best practices in MVC. Because so far, it takes much more time to create a small site using MVC than using my own programming schema.

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  • How can I gain access to a player instance in a Minecraft mod?

    - by Andrew Graber
    I'm creating Minecraft mod with a pickaxe that takes away experience when you break a block. The method for taking away experience from a player is addExperience on EntityPlayer, so I need to get an instance of EntityPlayer for the player using my pickaxe when the pickaxe breaks a block, so that I can remove the appropriate amount of experience. My pickaxe class currently looks like this: public class ExperiencePickaxe extends ItemPickaxe { public ExperiencePickaxe(int ItemID, EnumToolMaterial material){ super(ItemID, material); } public boolean onBlockDestroyed(ItemStack par1ItemStack, World par2World, int par3, int par4, int par5, int par6, EntityLiving par7EntityLiving) { if ((double)Block.blocksList[par3].getBlockHardness(par2World, par4, par5, par6) != 0.0D) { EntityPlayer e = new EntityPlayer(); // create an instance e.addExperience(-1); } return true; } } Obviously, I cannot actually create a new EntityPlayer since it is an abstract class. How can I get access to the player using my pickaxe?

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  • Asynchronous update design/interaction patterns

    - by Andy Waite
    These days many apps support asynchronous updates. For example, if you're looking at a list of widgets and you delete one of them then rather than wait for the roundtrip to the server, the app can hide the one you deleted, giving immediate feedback. The actual deletion on the server will happen in the background. This can be seen in web apps, desktop apps, iOS apps, etc. But what about when the background operation fails. How should you feed back to the user? Should you restore the UI to the pre-deletion state? What about when multiple background operations fail together? Does this behaviour/pattern have a name? Perhaps something based on the Command pattern?

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  • Windows in StreamInsight: Hopping vs. Snapshot

    - by Roman Schindlauer
    Three weeks ago, we explained the basic concept of windows in StreamInsight: defining sets of events that serve as arguments for set-based operations, like aggregations. Today, we want to discuss the so-called Hopping Windows and compare them with Snapshot Windows. We will compare these two, because they can serve similar purposes with different behaviors; we will discuss the remaining window type, Count Windows, another time. Hopping (and its syntactic-sugar-sister Tumbling) windows are probably the most straightforward windowing concept in StreamInsight. A hopping window is defined by its length, and the offset from one window to the next. They are aligned with some absolute point on the timeline (which can also be given as a parameter to the window) and create sets of events. The diagram below shows an example of a hopping window with length of 1h and hop size (the offset) of 15 minutes, hence creating overlapping windows:   Two aspects in this diagram are important: Since this window is overlapping, an event can fall into more than one windows. If an (interval) event spans a window boundary, its lifetime will be clipped to the window, before it is passed to the set-based operation. That’s the default and currently only available window input policy. (This should only concern you if you are using a time-sensitive user-defined aggregate or operator.) The set-based operation will be applied to each of these sets, yielding a result. This result is: A single scalar value in case of built-in or user-defined aggregates. A subset of the input payloads, in case of the TopK operator. Arbitrary events, when using a user-defined operator. The timestamps of the result are almost always the ones of the windows. Only the user-defined  operator can create new events with timestamps. (However, even these event lifetimes are subject to the window’s output policy, which is currently always to clip to the window end.) Let’s assume we were calculating the sum over some payload field: var result = from window in source.HoppingWindow( TimeSpan.FromHours(1), TimeSpan.FromMinutes(15), HoppingWindowOutputPolicy.ClipToWindowEnd) select new { avg = window.Avg(e => e.Value) }; Now each window is reflected by one result event:   As you can see, the window definition defines the output frequency. No matter how many or few events we got from the input, this hopping window will produce one result every 15 minutes – except for those windows that do not contain any events at all, because StreamInsight window operations are empty-preserving (more about that another time). The “forced” output for every window can become a performance issue if you have a real-time query with many events in a wide group & apply – let me explain: imagine you have a lot of events that you group by and then aggregate within each group – classical streaming pattern. The hopping window produces a result in each group at exactly the same point in time for all groups, since the window boundaries are aligned with the timeline, not with the event timestamps. This means that the query output will become very bursty, delivering the results of all the groups at the same point in time. This becomes especially obvious if the events are long-lasting, spanning multiple windows each, so that the produced result events do not change their value very often. In such a case, a snapshot window can remedy. Snapshot windows are more difficult to explain than hopping windows: they represent those periods in time, when no event changes occur. In other words, if you mark all event start and and times on your timeline, then you are looking at all snapshot window boundaries:   If your events are never overlapping, the snapshot window will not make much sense. It is commonly used together with timestamp modification, which make it a very powerful tool. Or as Allan Mitchell expressed in in a recent tweet: “I used to look at SnapshotWindow() with disdain. Now she is my mistress, the one I turn to in times of trouble and need”. Let’s look at a simple example: I want to compute the average of some value in my events over the last minute. I don’t want this output be produced at fixed intervals, but at soon as it changes (that’s the true event-driven spirit!). The snapshot window will include all currently active event at each point in time, hence we need to extend our original events’ lifetimes into the future: Applying the Snapshot window on these events, it will appear to be “looking back into the past”: If you look at the result produced in this diagram, you can easily prove that, at each point in time, the current event value represents the average of all original input event within the last minute. Here is the LINQ representation of that query, applying the lifetime extension before the snapshot window: var result = from window in source .AlterEventDuration(e => TimeSpan.FromMinutes(1)) .SnapshotWindow(SnapshotWindowOutputPolicy.Clip) select new { avg = window.Avg(e => e.Value) }; With more complex modifications of the event lifetimes you can achieve many more query patterns. For instance “running totals” by keeping the event start times, but snapping their end times to some fixed time, like the end of the day. Each snapshot then “sees” all events that have happened in the respective time period so far. Regards, The StreamInsight Team

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  • Named arguments (parameters) as a readability aid

    - by Damian Mehers
    A long time ago I programmed a lot in ADA, and it was normal to name arguments when invoking a function - SomeObject.DoSomething(SomeParameterName = someValue); Now that C# supports named arguments, I'm thinking about reverting to this habit in situations where it might not be obvious what an argument means. You might argue that it should always be obvious what an argument means, but if you have a boolean argument, and callers are passing in "true" or "false" then qualifying the value with the name makes the call site more readable. contentFetcher.DownloadNote(note, manual : true); I guess I could create Enums instead of using true or false (Manual, Automatic in this case). What do you think about occasionally using named arguments to make code easier to read?

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  • CPU Usage in Very Large Coherence Clusters

    - by jpurdy
    When sizing Coherence installations, one of the complicating factors is that these installations (by their very nature) tend to be application-specific, with some being large, memory-intensive caches, with others acting as I/O-intensive transaction-processing platforms, and still others performing CPU-intensive calculations across the data grid. Regardless of the primary resource requirements, Coherence sizing calculations are inherently empirical, in that there are so many permutations that a simple spreadsheet approach to sizing is rarely optimal (though it can provide a good starting estimate). So we typically recommend measuring actual resource usage (primarily CPU cycles, network bandwidth and memory) at a given load, and then extrapolating from those measurements. Of course there may be multiple types of load, and these may have varying degrees of correlation -- for example, an increased request rate may drive up the number of objects "pinned" in memory at any point, but the increase may be less than linear if those objects are naturally shared by concurrent requests. But for most reasonably-designed applications, a linear resource model will be reasonably accurate for most levels of scale. However, at extreme scale, sizing becomes a bit more complicated as certain cluster management operations -- while very infrequent -- become increasingly critical. This is because certain operations do not naturally tend to scale out. In a small cluster, sizing is primarily driven by the request rate, required cache size, or other application-driven metrics. In larger clusters (e.g. those with hundreds of cluster members), certain infrastructure tasks become intensive, in particular those related to members joining and leaving the cluster, such as introducing new cluster members to the rest of the cluster, or publishing the location of partitions during rebalancing. These tasks have a strong tendency to require all updates to be routed via a single member for the sake of cluster stability and data integrity. Fortunately that member is dynamically assigned in Coherence, so it is not a single point of failure, but it may still become a single point of bottleneck (until the cluster finishes its reconfiguration, at which point this member will have a similar load to the rest of the members). The most common cause of scaling issues in large clusters is disabling multicast (by configuring well-known addresses, aka WKA). This obviously impacts network usage, but it also has a large impact on CPU usage, primarily since the senior member must directly communicate certain messages with every other cluster member, and this communication requires significant CPU time. In particular, the need to notify the rest of the cluster about membership changes and corresponding partition reassignments adds stress to the senior member. Given that portions of the network stack may tend to be single-threaded (both in Coherence and the underlying OS), this may be even more problematic on servers with poor single-threaded performance. As a result of this, some extremely large clusters may be configured with a smaller number of partitions than ideal. This results in the size of each partition being increased. When a cache server fails, the other servers will use their fractional backups to recover the state of that server (and take over responsibility for their backed-up portion of that state). The finest granularity of this recovery is a single partition, and the single service thread can not accept new requests during this recovery. Ordinarily, recovery is practically instantaneous (it is roughly equivalent to the time required to iterate over a set of backup backing map entries and move them to the primary backing map in the same JVM). But certain factors can increase this duration drastically (to several seconds): large partitions, sufficiently slow single-threaded CPU performance, many or expensive indexes to rebuild, etc. The solution of course is to mitigate each of those factors but in many cases this may be challenging. Larger clusters also lead to the temptation to place more load on the available hardware resources, spreading CPU resources thin. As an example, while we've long been aware of how garbage collection can cause significant pauses, it usually isn't viewed as a major consumer of CPU (in terms of overall system throughput). Typically, the use of a concurrent collector allows greater responsiveness by minimizing pause times, at the cost of reducing system throughput. However, at a recent engagement, we were forced to turn off the concurrent collector and use a traditional parallel "stop the world" collector to reduce CPU usage to an acceptable level. In summary, there are some less obvious factors that may result in excessive CPU consumption in a larger cluster, so it is even more critical to test at full scale, even though allocating sufficient hardware may often be much more difficult for these large clusters.

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  • Fastest bit-blit in C# ?

    - by AttackingHobo
    I know there is Unity, and XNA that both use C#, but I am don't know what else I could use. The reason I say C# is that the syntax and style is similar to AS3, which I am familiar with, and I want to choose the correct framework to start learning with. What should I use to be able to do the most possible bit-blit(direct pixel copy) objects per frame. EDIT: I should not need to add this, but I am looking for the most possible amount of objects per frame because I am making a few Bullet-Hell SHMUPS. I need thousands and thousands of bullets, particles, and hundreds of enemies on the screen at once. I am looking for a solution to do as many bit-blit operations per frame, I am not looking for a general purpose engine. EDIT2: I want bit-blitting because I do not want to exclude people who have lower end video cards but a fast processor from playing my games.

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  • Access Control Management Tool ACM.exe

    - by kaleidoscope
    The Access Control Management Tool (Acm.exe) is a command-line tool you can use to perform management operations (CREATE, UPDATE, GET, GET ALL, and DELETE) on the AppFabric Access Control entities (scopes, issuers, token policies, and rules). Basic Syntax The command line for Acm.exe follows the basic pattern of verb-noun. For example: acm.exe <command> <resource> [-option:<option value>] This tool will automatically generate random keys, which helps ensure that they can't easily be guessed by an attacker. Note that ACM.EXE is a thin wrapper around a REST Web Service (the AC management service). That helps to remember the commands it accepts, which are the typical resource management commands for a REST service: · Get(All) · Create · Update · Delete ACM.EXE.config file can be used to configure Host, Service and the Management key for a Service Namespace. Geeta, G

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  • What Counts For a DBA: Fitness

    - by Louis Davidson
    If you know me, you can probably guess that physical exercise is not really my thing. There was a time in my past when it a larger part of my life, but even then never in the same sort of passionate way as a number of our SQL friends.  For me, I find that mental exercise satisfies what I believe to be the same inner need that drives people to run farther than I like to drive on most Saturday mornings, and it is certainly just as addictive. Mental fitness shares many common traits with physical fitness, especially the need to attain it through repetitive training. I only wish that mental training burned off a bacon cheeseburger in the same manner as does jogging around a dewy park on Saturday morning. In physical training, there are at least two goals, the first of which is to be physically able to do a task. The second is to train the brain to perform the task without thinking too hard about it. No matter how long it has been since you last rode a bike, you will be almost certainly be able to hop on and start riding without thinking about the process of pedaling or balancing. If you’ve never ridden a bike, you could be a physics professor /Olympic athlete and still crash the first few times you try, even though you are as strong as an ox and your knowledge of the physics of bicycle riding makes the concept child’s play. For programming tasks, the process is very similar. As a DBA, you will come to know intuitively how to backup, optimize, and secure database systems. As a data programmer, you will work to instinctively use the clauses of Transact-SQL DML so that, when you need to group data three ways (and not four), you will know to use the GROUP BY clause with GROUPING SETS without resorting to a search engine.  You have the skill. Making it naturally then requires repetition and experience is the primary requirement, not just simply learning about a topic. The hardest part of being really good at something is this difference between knowledge and skill. I have recently taken several informative training classes with Kimball University on data warehousing and ETL. Now I have a lot more knowledge about designing data warehouses than before. I have also done a good bit of data warehouse designing of late and have started to improve to some level of proficiency with the theory. Yet, for all of this head knowledge, it is still a struggle to take what I have learned and apply it to the designs I am working on.  Data warehousing is still a task that is not yet deeply ingrained in my brain muscle memory. On the other hand, relational database design is something that no matter how much or how little I may get to do it, I am comfortable doing it. I have done it as a profession now for well over a decade, I teach classes on it, and I also have done (and continue to do) a lot of mental training beyond the work day. Sometimes the training is just basic education, some reading blogs and attending sessions at PASS events.  My best training comes from spending time working on other people’s design issues in forums (though not nearly as much as I would like to lately). Working through other people’s problems is a great way to exercise your brain on problems with which you’re not immediately familiar. The final bit of exercise I find useful for cultivating mental fitness for a data professional is also probably the nerdiest thing that I will ever suggest you do.  Akin to running in place, the idea is to work through designs in your head. I have designed more than one database system that would revolutionize grocery store operations, sales at my local Target store, the ordering process at Amazon, and ways to improve Disney World operations to get me through a line faster (some of which they are starting to implement without any of my help.) Never are the designs truly fleshed out, but enough to work through structures and processes.  On “paper”, I have designed database systems to catalog things as trivial as my Lego creations, rental car companies and my audio and video collections. Once I get the database designed mentally, sometimes I will create the database, add some data (often using Red-Gate’s Data Generator), and write a few queries to see if a concept was realistic, but I will rarely fully flesh out the database since I have no desire to do any user interface programming anymore.  The mental training allows me to keep in practice for when the time comes to do the work I love the most for real…even if I have been spending most of my work time lately building data warehouses.  If you are really strong of mind and body, perhaps you can mix a mental run with a physical run; though don’t run off of a cliff while contemplating how you might design a database to catalog the trees on a mountain…that would be contradictory to the purpose of both types of exercise.

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  • Getting started with Team Foundation Server

    - by joe
    At work, we recently started using Team Foundation Server to manage our source code, i have no idea how to use this system. I do not know even know how to check source code in and out. Does anyone know of a step-by-step tutorial on how to work with TFS? Just for basic operations e.g. get latest version, upload your changes, etc. I am accessing it from Visual Studio 2010. I also have access to the TFS web interface.

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  • Other SCOM users at SQLSaturday #65 Vancouver?

    - by merrillaldrich
    After a little hair-graying fun around passport renewal and family logistics, it looks like I'll be at the Vancouver SQLSaturday ! I am pumped. (I was entirely convinced they would call it "SQLSaturd' eh?" and I'm frankly a little disappointed about the name... :-) I'm on the tail end of a three-month deployment of System Center Operations Manager with the SQL management pack - if you are a DBA and SCOM user, too, I'd love to meet you and talk shop at the SQLSaturday event. Please drop me a line...(read more)

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  • Unity3D Android - Move your character to a specific x position

    - by user3666251
    Im making a new game for android and I wanted to move my character (which is a cube for now) to a specific x location (on top of a flying floor/ground thingy) but I've been having some troubles with it.I've been using this script : var jumpSpeed: float = 3.5; var distToGround: float; function Start(){ // get the distance to ground distToGround = collider.bounds.extents.y; } function IsGrounded(): boolean { return Physics.Raycast(transform.position, -Vector3.up, distToGround + 0.1); } function Update () { // Move the object to the right relative to the camera 1 unit/second. transform.Translate(Vector3.forward * Time.deltaTime); if (Input.anyKeyDown && IsGrounded()){ rigidbody.velocity.x = jumpSpeed; } } And this is the result (which is not what I want) : https://www.youtube.com/watch?v=Fj8B6eI4dbE&feature=youtu.be Anyone has any idea how to do this ? Im new in unity and scripting.Im using java btw. Ty.

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  • Oracle NoSQL Database Exceeds 1 Million Mixed YCSB Ops/Sec

    - by Charles Lamb
    We ran a set of YCSB performance tests on Oracle NoSQL Database using SSD cards and Intel Xeon E5-2690 CPUs with the goal of achieving 1M mixed ops/sec on a 95% read / 5% update workload. We used the standard YCSB parameters: 13 byte keys and 1KB data size (1,102 bytes after serialization). The maximum database size was 2 billion records, or approximately 2 TB of data. We sized the shards to ensure that this was not an "in-memory" test (i.e. the data portion of the B-Trees did not fit into memory). All updates were durable and used the "simple majority" replica ack policy, effectively 'committing to the network'. All read operations used the Consistency.NONE_REQUIRED parameter allowing reads to be performed on any replica. In the past we have achieved 100K ops/sec using SSD cards on a single shard cluster (replication factor 3) so for this test we used 10 shards on 15 Storage Nodes with each SN carrying 2 Rep Nodes and each RN assigned to its own SSD card. After correcting a scaling problem in YCSB, we blew past the 1M ops/sec mark with 8 shards and proceeded to hit 1.2M ops/sec with 10 shards.  Hardware Configuration We used 15 servers, each configured with two 335 GB SSD cards. We did not have homogeneous CPUs across all 15 servers available to us so 12 of the 15 were Xeon E5-2690, 2.9 GHz, 2 sockets, 32 threads, 193 GB RAM, and the other 3 were Xeon E5-2680, 2.7 GHz, 2 sockets, 32 threads, 193 GB RAM.  There might have been some upside in having all 15 machines configured with the faster CPU, but since CPU was not the limiting factor we don't believe the improvement would be significant. The client machines were Xeon X5670, 2.93 GHz, 2 sockets, 24 threads, 96 GB RAM. Although the clients had 96 GB of RAM, neither the NoSQL Database or YCSB clients require anywhere near that amount of memory and the test could have just easily been run with much less. Networking was all 10GigE. YCSB Scaling Problem We made three modifications to the YCSB benchmark. The first was to allow the test to accommodate more than 2 billion records (effectively int's vs long's). To keep the key size constant, we changed the code to use base 32 for the user ids. The second change involved to the way we run the YCSB client in order to make the test itself horizontally scalable.The basic problem has to do with the way the YCSB test creates its Zipfian distribution of keys which is intended to model "real" loads by generating clusters of key collisions. Unfortunately, the percentage of collisions on the most contentious keys remains the same even as the number of keys in the database increases. As we scale up the load, the number of collisions on those keys increases as well, eventually exceeding the capacity of the single server used for a given key.This is not a workload that is realistic or amenable to horizontal scaling. YCSB does provide alternate key distribution algorithms so this is not a shortcoming of YCSB in general. We decided that a better model would be for the key collisions to be limited to a given YCSB client process. That way, as additional YCSB client processes (i.e. additional load) are added, they each maintain the same number of collisions they encounter themselves, but do not increase the number of collisions on a single key in the entire store. We added client processes proportionally to the number of records in the database (and therefore the number of shards). This change to the use of YCSB better models a use case where new groups of users are likely to access either just their own entries, or entries within their own subgroups, rather than all users showing the same interest in a single global collection of keys. If an application finds every user having the same likelihood of wanting to modify a single global key, that application has no real hope of getting horizontal scaling. Finally, we used read/modify/write (also known as "Compare And Set") style updates during the mixed phase. This uses versioned operations to make sure that no updates are lost. This mode of operation provides better application behavior than the way we have typically run YCSB in the past, and is only practical at scale because we eliminated the shared key collision hotspots.It is also a more realistic testing scenario. To reiterate, all updates used a simple majority replica ack policy making them durable. Scalability Results In the table below, the "KVS Size" column is the number of records with the number of shards and the replication factor. Hence, the first row indicates 400m total records in the NoSQL Database (KV Store), 2 shards, and a replication factor of 3. The "Clients" column indicates the number of YCSB client processes. "Threads" is the number of threads per process with the total number of threads. Hence, 90 threads per YCSB process for a total of 360 threads. The client processes were distributed across 10 client machines. Shards KVS Size Clients Mixed (records) Threads OverallThroughput(ops/sec) Read Latencyav/95%/99%(ms) Write Latencyav/95%/99%(ms) 2 400m(2x3) 4 90(360) 302,152 0.76/1/3 3.08/8/35 4 800m(4x3) 8 90(720) 558,569 0.79/1/4 3.82/16/45 8 1600m(8x3) 16 90(1440) 1,028,868 0.85/2/5 4.29/21/51 10 2000m(10x3) 20 90(1800) 1,244,550 0.88/2/6 4.47/23/53

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  • How do you test an ICF based connector using Connector Facade Standalone?

    - by Shashidhar Malyala
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} The following code helps in writing a standalone java program to test an ICF based connector. The sample code in this example takes into account an ICF based flatfile connector. It is possible to test various operations like create, update, delete, search etc... It is also possible to set values to the connector configuration parameters, add/remove attributes and their values. public class FlatFile { private static final java.lang.String BUNDLE_NAME = "<PACKAGE_NAME>"; //Ex: org.info.icf.flatfile private static final java.lang.String BUNDLE_VERSION = "1.0.0"; private static final java.lang.String CONNECTOR_NAME = "org.info.icf.flatfile.FlatFileConnector"; // Name of connector class i.e. the class implemting the connector SPI operations public ConnectorFacade getFacade() throws IOException { ConnectorInfoManagerFactory fact = ConnectorInfoManagerFactory .getInstance(); File bundleDirectory = new File("<BUNDLE_LOCATION>"); //Ex: /usr/oracle/connector_bundles/ URL url = IOUtil.makeURL(bundleDirectory, "org.info.icf.flatfile-1.0.0.jar"); ConnectorInfoManager manager = fact.getLocalManager(url); ConnectorKey key = new ConnectorKey(BUNDLE_NAME, BUNDLE_VERSION, CONNECTOR_NAME); ConnectorInfo info = manager.findConnectorInfo(key); // From the ConnectorInfo object, create the default APIConfiguration. APIConfiguration apiConfig = info.createDefaultAPIConfiguration(); // From the default APIConfiguration, retrieve the // ConfigurationProperties. ConfigurationProperties properties = apiConfig .getConfigurationProperties(); // Print out what the properties are (not necessary) List propertyNames = properties.getPropertyNames(); for (String propName : propertyNames) { ConfigurationProperty prop = properties.getProperty(propName); System.out.println("Property Name: " + prop.getName() + "\tProperty Type: " + prop.getType()); } properties .setPropertyValue("fileLocation", "/usr/oracle/accounts.csv"); // Set all of the ConfigurationProperties needed by the connector. // properties.setPropertyValue("host", FOOBAR_HOST); // properties.setPropertyValue("adminName", FOOBAR_ADMIN); // properties.setPropertyValue("adminPassword", FOOBAR_PASSWORD); // properties.setPropertyValue("useSSL", false); // Use the ConnectorFacadeFactory's newInstance() method to get a new // connector. ConnectorFacade connFacade = ConnectorFacadeFactory.getInstance() .newInstance(apiConfig); // Make sure we have set up the Configuration properly connFacade.validate(); return connFacade; } public static void main(String[] args) throws IOException { FlatFile file = new FlatFile(); ConnectorFacade cfac = file.getFacade(); Set attrSet = new HashSet(); attrSet.add(AttributeBuilder.build(Name.NAME, "Test01")); attrSet.add(AttributeBuilder.build("FIRST_NAME", "Test_First")); attrSet.add(AttributeBuilder.build("LAST_NAME", "Test_Last")); //Create Uid uid = cfac.create(ObjectClass.ACCOUNT, attrSet, null); //Delete Uid uidP = new Uid("Test01"); cfac.delete(ObjectClass.ACCOUNT, uidP, null); } }

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  • Google I/O 2010 - Making smart & scalable Wave robots

    Google I/O 2010 - Making smart & scalable Wave robots Google I/O 2010 - Making smart & scalable Wave robots Wave 201 David Byttow, Marcel Prasetya A smart robot must be able to store persistent data. Wave robots can store data in wave structures, like wavelets, datadocs, and annotations, instead of traditional datastores. A scalable robot must perform operations with minimal bandwidth. Wave robots can optimize by selecting the appropriate amount of context, the optimal events, and narrow filters for events. In this talk, we'll share best practices on data storage and scaling. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 9 0 ratings Time: 58:25 More in Science & Technology

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  • Is using ELSE bad programming?

    - by dave.b
    I've often come across bugs that have been caused by using the ELSE construct. A prime example is something along the lines of: If (passwordCheck() == false){ displayMessage(); }else{ letThemIn(); } To me this screams security problem. I know that passwordCheck is likely to be a boolean, but I wouldn't place my applications security on it. What would happen if its a string, int etc? I usually try to avoid using ELSE, and instead opt for two completely separate IF statements to test for what I expect. Anything else then either gets ignored OR is specifically handled. Surely this is a better way to prevent bugs / security issues entering your app. How do you guys do it?

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  • UPK Pre-Built Content Update

    - by Karen Rihs
    UPK pre-built content development efforts are always underway and growing. Over the last few months, the following new and upgraded modules became available:  NEW CONTENT RELEASES E-Business Suite 12.1 Field Service Manufacturing Operations Center Process Manufacturing:  System Administration Strategic Network Optimization U.S. Federal Financials Oracle Communications 11.1 Oracle Communications UPK for Pricing Design Center, Voice and Data Offerings Oracle Mobile Workforce 2.1.0 Administrative Setup User Tasks Primavera Primavera Portfolio Management 9.0 UPK CONTENT UPGRADES JDE E1 9.1 HCM Fundamentals for EnterpriseOne Manufacturing - Product Data Management Manufacturing Management Discrete Shop Floor Management Procurement and Subcontract Management JDE World A9.3 Accounts Payable Address Book  Common Foundation General Ledger For a list of modules currently available for each product line, visit the UPK Resource Library on Oracle.com. For more information on how your organization can take advantage of UPK pre-built content, see our previous blog,  The Value of UPK Pre-Built Content. - Karen Rihs, UPK Outbound Product Management

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  • Sponsor sessions - why should you attend?

    - by Testas
    At the Manchester SQL Server User Group we have had a number of sponser sessions, likewise at SQLBits too You may think  that it would be an hour promoting the software that that a particular vendor has to offer. This is often not the case. many session spend  time focusing on the tools, native to SQL Server that can be used for performance tuning and finish off by providing an overview of vendors software and how it can make it easier to perform performance tuning operations on your SQL Server. Many of you will be attending SQLBits this April. Many of the sponsors will perform a lunchtime lecture surrounding many areas of SQL Server. Event sponsors play a very important role in supporting events such as SQLBits and some of the SQL Server User group events Based on the presentations I have seen, I would recommend attending one of the lunchtime sessions at SQLBits. I have no doubt you will pick up golden nuggets of information that will help you in your work. I know I have Chris

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  • Adoption of Exadata - Gartner research note

    - by Javier Puerta
    Independent research note by Gartner acknowledges Oracle Exadata Database Machine has achieved significant early adoption and acceptance of its database appliance value proposition. Analyst Merv Adrian looks at some of the main issues that IT professionals have solved as they assess or deploy the Oracle Exadata solution, including: OLTP and DSS workload support workload consolidation increasing performance and scalability demands data compression improvements  Gartner reports clients using Oracle Exadata experienced the following: report significant performance improvements substantial amounts of cache memory which greatly improves processing speed Oracle Advanced Compression providing 2-4X data compression delivering significant reductions in storage requirements and driving shorter times for backup operations Tables compressed with Oracle Advanced Compression automatically recompress as data is added/updated. One client specifically reported consolidating more than 400 applications onto the Oracle Exadata platform Read the full Gartner note

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  • Method chaining vs encapsulation

    - by Oak
    There is the classic OOP problem of method chaining vs "single-access-point" methods: main.getA().getB().getC().transmogrify(x, y) vs main.getA().transmogrifyMyC(x, y) The first seems to have the advantage that each class is only responsible for a smaller set of operations, and makes everything a lot more modular - adding a method to C doesn't require any effort in A, B or C to expose it. The downside, of course, is weaker encapsulation, which the second code solves. Now A has control of every method that passes through it, and can delegate it to its fields if it wants to. I realize there's no single solution and it of course depends on context, but I would really like to hear some input about other important differences between the two styles, and under what circumstances should I prefer either of them - because right now, when I try to design some code, I feel like I'm just not using the arguments to decide one way or the other.

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  • Mount to /dev/sdb1 without password

    - by Jarmo
    I am unable to mount a USB drive (or SD card) to my system without root access. When I plug in a USB drive, it is visible in the left column of Nautilus, but when I click on it to open it, I receive the error message Unable to mount 2.1 GB Filesystem Error mounting: mount exited with exit code 1: helper failed with: mount: only root can mount /dev/sdb1 on /media/sdb1 I am able to mount the drive using sudo mount -w /dev/sdb1, but this causes problems for operations such as creating startup discs, which requires unmounting and remounting the drive. I suspect this problem may be caused by the fact that when I upgraded from 11.10 to 12.04, I had an SD card plugged in. This caused the system to stall during later startups, as it could not find this drive. I remedied this by editing a line of /etc/fstab to read /dev/sdb1 /media/sdb1 vfat noauto 0 0 However, I am dual booting Ubuntu with Windows XP, and I have no problem mounting the C: drive of the Windows system without root access, so I feel that this is a problem related to the mount point rather than mounting in general.

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  • Community Day at SOS Kinderdorf Bambous

    Easter is not only an occassion of public holidays but an opportunity to share and celebrate with your neighborhood. The team of IOS Indian Ocean Software Ltd. spent Easter Monday with the children and "mothers" of SOS Children's Village in Bambous. Together with the employees' family members we enjoyed some wonderful hours together. Starting the community day with a common lunch, IOS contributed mainly stationery, educational gifts and games like Scrabble or Sudoku. And of course, a little give-away with chocolate eggs... The kids are aged between 5 and 18 years. They live together with their village mothers in so-called family houses. The SOS Kinderdorf in Bambous is quite new and started their operations back in 2003, with an official inauguration in May 2005. Actually, I'm really happy about this event and I am looking forward to IOS next community activity. Community off-line and for real people, not only virtual!   PS: Article in L'Express of 09.04.2010

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  • Oracle Process Accelerators Release 11.1.1.7.0 Now Available

    - by Cesare Rotundo
    The new Oracle Process Accelerators (PA) Release (11.1.1.7.0) delivers key functionality in many dimensions: new PAs across industries, new functionality in preexisting PAs, and an improved installation process. All PAs in Release 11.1.1.7.0 run on the latest Oracle BPM Suite and SOA Suite, 11.1.1.7. New PAs include: Financial Reports Approval (FRA): end-to-end solution for efficient and controlled Financial Report review and approval process, enabling financial analysts and decision makers to collaborate around Excel. Electronic Forms Management (EFM): supports the process to design and expose eForms with the ability to quickly design eForms and associate approval processes to them, and to then enable users to select, fill, and submit eForms for approval Mobile Data Offloading (MDO): enables telecommunications providers to reduce congestion on cellular networks and lower cost of operations by using Oracle Event Processing (OEP) and BAM to switch devices from cellular networks to Wi-Fi. By adopting the latest PA release , customers will also be able to better identify and kick-start smart extension of their processes where business steps are supported by Apps: PA 11.1.1.7.0 includes out-of-the-box business process extension scenarios with Oracle Apps such as Siebel (FSLO) and PeopleSoft (EOB).

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