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  • ?????????????ERP????????

    - by toshiyuki.sakuramoto
    ????????????????????????????????ERP????? ???????!?????????????? ?????????????????? ?????6??(18:30~20:00)?7??(20:10~21:40)?????&????????? ERP????????????????????????????????????????4?13???????????? ????????? ?1??????????? ?2??ERP?? ?3??????????ERP??? ?4??ERP????????????????? ??? ????14???5???6?? ??·??????????????????????? ? ?????????·????????? ????Oracle??????????ERP?JD Edwars EnterpriseOne?????????????ERP??????????????????? ????????????????????????????? ???8??????????????????

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  • ???????????!???????

    - by Kumiko Fujita
    “???????????!”???? “???????????!”????????????·????????????????????????????????????????????????????????????? ???????????????????????????????????????????????! ??????????? ?????????????????????????????????????????????? ??????????????????????????????????????????????/??????????????????????????????????????? ??????????·?????????????????????? ?????????????????????????????????????????????????????????????????DBA????????????????????·??????????????·?????????·???????????????? ???? ????? ????? ???????????????? ???????!?Export/Import??? PDF??(WMV)??(MP4) ????????????? ????????!???????????? PDF??(WMV)??(MP4) ?????? ??!Enterprise Manager:????????????? PDF??(WMV)??(MP4) ???????????? ??!????????????? ???? PDF??(WMV)??(MP4) ?????????????? ???????! ????????????? PDF??(WMV)??(MP4) ???? Oracle???? ?? ???????????????????·??????|???????????

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  • ?ERP???????????????????

    - by toshiyuki.sakuramoto
    ???????????????????????????????ERP?????14??? ??6?1???????? ??????100%? ??????2????3??????????????????????????? ????????21:40?????????????????????????22????????????????????????????????????????? ?????????????????????????????????????? ???????????????????????????????????????????????? ???????????????????????? ??????????????????????? ????????!????!? ?????????? ?ERP??????????????????? ?2???????????4???????????????????? ?IFRS?ERP??????ERP?EPM?ERP···????????? ????????????????????? ??? ?ERP??????????????????????? ?Oracle???PR?????????????!? ????????? ????????????????????????????????ERP???????????????????????????????????????????? ????????????????????????????????????????

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  • Windows Azure Service Bus Splitter and Aggregator

    - by Alan Smith
    This article will cover basic implementations of the Splitter and Aggregator patterns using the Windows Azure Service Bus. The content will be included in the next release of the “Windows Azure Service Bus Developer Guide”, along with some other patterns I am working on. I’ve taken the pattern descriptions from the book “Enterprise Integration Patterns” by Gregor Hohpe. I bought a copy of the book in 2004, and recently dusted it off when I started to look at implementing the patterns on the Windows Azure Service Bus. Gregor has also presented an session in 2011 “Enterprise Integration Patterns: Past, Present and Future” which is well worth a look. I’ll be covering more patterns in the coming weeks, I’m currently working on Wire-Tap and Scatter-Gather. There will no doubt be a section on implementing these patterns in my “SOA, Connectivity and Integration using the Windows Azure Service Bus” course. There are a number of scenarios where a message needs to be divided into a number of sub messages, and also where a number of sub messages need to be combined to form one message. The splitter and aggregator patterns provide a definition of how this can be achieved. This section will focus on the implementation of basic splitter and aggregator patens using the Windows Azure Service Bus direct programming model. In BizTalk Server receive pipelines are typically used to implement the splitter patterns, with sequential convoy orchestrations often used to aggregate messages. In the current release of the Service Bus, there is no functionality in the direct programming model that implements these patterns, so it is up to the developer to implement them in the applications that send and receive messages. Splitter A message splitter takes a message and spits the message into a number of sub messages. As there are different scenarios for how a message can be split into sub messages, message splitters are implemented using different algorithms. The Enterprise Integration Patterns book describes the splatter pattern as follows: How can we process a message if it contains multiple elements, each of which may have to be processed in a different way? Use a Splitter to break out the composite message into a series of individual messages, each containing data related to one item. The Enterprise Integration Patterns website provides a description of the Splitter pattern here. In some scenarios a batch message could be split into the sub messages that are contained in the batch. The splitting of a message could be based on the message type of sub-message, or the trading partner that the sub message is to be sent to. Aggregator An aggregator takes a stream or related messages and combines them together to form one message. The Enterprise Integration Patterns book describes the aggregator pattern as follows: How do we combine the results of individual, but related messages so that they can be processed as a whole? Use a stateful filter, an Aggregator, to collect and store individual messages until a complete set of related messages has been received. Then, the Aggregator publishes a single message distilled from the individual messages. The Enterprise Integration Patterns website provides a description of the Aggregator pattern here. A common example of the need for an aggregator is in scenarios where a stream of messages needs to be combined into a daily batch to be sent to a legacy line-of-business application. The BizTalk Server EDI functionality provides support for batching messages in this way using a sequential convoy orchestration. Scenario The scenario for this implementation of the splitter and aggregator patterns is the sending and receiving of large messages using a Service Bus queue. In the current release, the Windows Azure Service Bus currently supports a maximum message size of 256 KB, with a maximum header size of 64 KB. This leaves a safe maximum body size of 192 KB. The BrokeredMessage class will support messages larger than 256 KB; in fact the Size property is of type long, implying that very large messages may be supported at some point in the future. The 256 KB size restriction is set in the service bus components that are deployed in the Windows Azure data centers. One of the ways of working around this size restriction is to split large messages into a sequence of smaller sub messages in the sending application, send them via a queue, and then reassemble them in the receiving application. This scenario will be used to demonstrate the pattern implementations. Implementation The splitter and aggregator will be used to provide functionality to send and receive large messages over the Windows Azure Service Bus. In order to make the implementations generic and reusable they will be implemented as a class library. The splitter will be implemented in the LargeMessageSender class and the aggregator in the LargeMessageReceiver class. A class diagram showing the two classes is shown below. Implementing the Splitter The splitter will take a large brokered message, and split the messages into a sequence of smaller sub-messages that can be transmitted over the service bus messaging entities. The LargeMessageSender class provides a Send method that takes a large brokered message as a parameter. The implementation of the class is shown below; console output has been added to provide details of the splitting operation. public class LargeMessageSender {     private static int SubMessageBodySize = 192 * 1024;     private QueueClient m_QueueClient;       public LargeMessageSender(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public void Send(BrokeredMessage message)     {         // Calculate the number of sub messages required.         long messageBodySize = message.Size;         int nrSubMessages = (int)(messageBodySize / SubMessageBodySize);         if (messageBodySize % SubMessageBodySize != 0)         {             nrSubMessages++;         }           // Create a unique session Id.         string sessionId = Guid.NewGuid().ToString();         Console.WriteLine("Message session Id: " + sessionId);         Console.Write("Sending {0} sub-messages", nrSubMessages);           Stream bodyStream = message.GetBody<Stream>();         for (int streamOffest = 0; streamOffest < messageBodySize;             streamOffest += SubMessageBodySize)         {                                     // Get the stream chunk from the large message             long arraySize = (messageBodySize - streamOffest) > SubMessageBodySize                 ? SubMessageBodySize : messageBodySize - streamOffest;             byte[] subMessageBytes = new byte[arraySize];             int result = bodyStream.Read(subMessageBytes, 0, (int)arraySize);             MemoryStream subMessageStream = new MemoryStream(subMessageBytes);               // Create a new message             BrokeredMessage subMessage = new BrokeredMessage(subMessageStream, true);             subMessage.SessionId = sessionId;               // Send the message             m_QueueClient.Send(subMessage);             Console.Write(".");         }         Console.WriteLine("Done!");     }} The LargeMessageSender class is initialized with a QueueClient that is created by the sending application. When the large message is sent, the number of sub messages is calculated based on the size of the body of the large message. A unique session Id is created to allow the sub messages to be sent as a message session, this session Id will be used for correlation in the aggregator. A for loop in then used to create the sequence of sub messages by creating chunks of data from the stream of the large message. The sub messages are then sent to the queue using the QueueClient. As sessions are used to correlate the messages, the queue used for message exchange must be created with the RequiresSession property set to true. Implementing the Aggregator The aggregator will receive the sub messages in the message session that was created by the splitter, and combine them to form a single, large message. The aggregator is implemented in the LargeMessageReceiver class, with a Receive method that returns a BrokeredMessage. The implementation of the class is shown below; console output has been added to provide details of the splitting operation.   public class LargeMessageReceiver {     private QueueClient m_QueueClient;       public LargeMessageReceiver(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public BrokeredMessage Receive()     {         // Create a memory stream to store the large message body.         MemoryStream largeMessageStream = new MemoryStream();           // Accept a message session from the queue.         MessageSession session = m_QueueClient.AcceptMessageSession();         Console.WriteLine("Message session Id: " + session.SessionId);         Console.Write("Receiving sub messages");           while (true)         {             // Receive a sub message             BrokeredMessage subMessage = session.Receive(TimeSpan.FromSeconds(5));               if (subMessage != null)             {                 // Copy the sub message body to the large message stream.                 Stream subMessageStream = subMessage.GetBody<Stream>();                 subMessageStream.CopyTo(largeMessageStream);                   // Mark the message as complete.                 subMessage.Complete();                 Console.Write(".");             }             else             {                 // The last message in the sequence is our completeness criteria.                 Console.WriteLine("Done!");                 break;             }         }                     // Create an aggregated message from the large message stream.         BrokeredMessage largeMessage = new BrokeredMessage(largeMessageStream, true);         return largeMessage;     } }   The LargeMessageReceiver initialized using a QueueClient that is created by the receiving application. The receive method creates a memory stream that will be used to aggregate the large message body. The AcceptMessageSession method on the QueueClient is then called, which will wait for the first message in a message session to become available on the queue. As the AcceptMessageSession can throw a timeout exception if no message is available on the queue after 60 seconds, a real-world implementation should handle this accordingly. Once the message session as accepted, the sub messages in the session are received, and their message body streams copied to the memory stream. Once all the messages have been received, the memory stream is used to create a large message, that is then returned to the receiving application. Testing the Implementation The splitter and aggregator are tested by creating a message sender and message receiver application. The payload for the large message will be one of the webcast video files from http://www.cloudcasts.net/, the file size is 9,697 KB, well over the 256 KB threshold imposed by the Service Bus. As the splitter and aggregator are implemented in a separate class library, the code used in the sender and receiver console is fairly basic. The implementation of the main method of the sending application is shown below.   static void Main(string[] args) {     // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Open the input file.     FileStream fileStream = new FileStream(AccountDetails.TestFile, FileMode.Open);       // Create a BrokeredMessage for the file.     BrokeredMessage largeMessage = new BrokeredMessage(fileStream, true);       Console.WriteLine("Sending: " + AccountDetails.TestFile);     Console.WriteLine("Message body size: " + largeMessage.Size);     Console.WriteLine();         // Send the message with a LargeMessageSender     LargeMessageSender sender = new LargeMessageSender(queueClient);     sender.Send(largeMessage);       // Close the messaging facory.     factory.Close();  } The implementation of the main method of the receiving application is shown below. static void Main(string[] args) {       // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Create a LargeMessageReceiver and receive the message.     LargeMessageReceiver receiver = new LargeMessageReceiver(queueClient);     BrokeredMessage largeMessage = receiver.Receive();       Console.WriteLine("Received message");     Console.WriteLine("Message body size: " + largeMessage.Size);       string testFile = AccountDetails.TestFile.Replace(@"\In\", @"\Out\");     Console.WriteLine("Saving file: " + testFile);       // Save the message body as a file.     Stream largeMessageStream = largeMessage.GetBody<Stream>();     largeMessageStream.Seek(0, SeekOrigin.Begin);     FileStream fileOut = new FileStream(testFile, FileMode.Create);     largeMessageStream.CopyTo(fileOut);     fileOut.Close();       Console.WriteLine("Done!"); } In order to test the application, the sending application is executed, which will use the LargeMessageSender class to split the message and place it on the queue. The output of the sender console is shown below. The console shows that the body size of the large message was 9,929,365 bytes, and the message was sent as a sequence of 51 sub messages. When the receiving application is executed the results are shown below. The console application shows that the aggregator has received the 51 messages from the message sequence that was creating in the sending application. The messages have been aggregated to form a massage with a body of 9,929,365 bytes, which is the same as the original large message. The message body is then saved as a file. Improvements to the Implementation The splitter and aggregator patterns in this implementation were created in order to show the usage of the patterns in a demo, which they do quite well. When implementing these patterns in a real-world scenario there are a number of improvements that could be made to the design. Copying Message Header Properties When sending a large message using these classes, it would be great if the message header properties in the message that was received were copied from the message that was sent. The sending application may well add information to the message context that will be required in the receiving application. When the sub messages are created in the splitter, the header properties in the first message could be set to the values in the original large message. The aggregator could then used the values from this first sub message to set the properties in the message header of the large message during the aggregation process. Using Asynchronous Methods The current implementation uses the synchronous send and receive methods of the QueueClient class. It would be much more performant to use the asynchronous methods, however doing so may well affect the sequence in which the sub messages are enqueued, which would require the implementation of a resequencer in the aggregator to restore the correct message sequence. Handling Exceptions In order to keep the code readable no exception handling was added to the implementations. In a real-world scenario exceptions should be handled accordingly.

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  • Mobile Java, shiny and new: Nokia Asha and Nokia SDK 2.0

    - by terrencebarr
    Nokia has announced a series of new S40 phones called “Asha” – mass-market devices with smart-phone features: Good-sized touch screens, 1 GHz processors, WiFi connectivity, social networking integration, and more. Prices starting around €60 retail. In case you don’t know, the S40 series is built on Java ME and has a huge deployed base in many parts of the world where price/performance is critical. Along with the new phones, Nokia is also making available the new Nokia SDK 2.0 for Java (beta), which enables developers to build rich Java applications with multi-touch, sensor support, an improved Maps API, and the Lightweight UI Toolkit (LWUIT) (more API & tools details). Furthermore, there is a host of developer information, the remote device access service, and even a porting guide to help you port your Android app to the new Asha platform. Last, but not least: More and better options to monetize your applications. Nokia has enabled in-app advertising and in-app purchasing, and improved the way applications can be discovered by customers. Nokia has seen downloads from the Nokia app store rise by 63%, now totaling billions. From what I’m hearing, the revenue opportunities on S40 for developers are often way better than what is typical for other smart-phone platforms (where competition is huge and consumers are fickle). Cheers, – Terrence Filed under: Mobile & Embedded Tagged: Asha Series, Java ME, Java ME SDK, Mobile Java, monetization, Nokia, S40

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  • Formating Columns in Excel created by af:exportCollectionActionListener

    - by Duncan Mills
    The af:exportCollectionActionListener behavior in ADF Faces Rich client provides a very simple way of quickly dumping out the contents or selected rows in a table or treeTable to Excel. However, that simplicity comes at a price as it pretty much left up to Excel how to format the data. A common use case where you have a problem is that of ID columns which are often long numerics. You probably want to represent this data as a string, Excel however will probably have other ideas and render it as an exponent  - not what you intended. In earlier releases of the framework you could sort of work around this by taking advantage of a bug which would allow you to surround the outputText in question with invisible outputText components which provided formatting hints to Excel. Something like this: <af:column headertext="Some wide label">  <af:panelgrouplayout layout="horizontal">     <af:outputtext value="=TEXT(" visible="false">     <af:outputtext value="#{row.bigNumberValue}" rendered="true"/>    <af:outputtext value=",0)" visible="false">   </af:panelgrouplayout> </af:column> However, this bug was fixed and so it can no longer be used as a trick, the export now ignores invisible columns. So, if you really need control over the formatting there are several alternatives: First the more powerful ADF Desktop Integration (ADFdi) package which allows you to build fully transactional spreadsheets that "pull" the data and can update it. This gives you all the control that might need on formatting but it does need specific Excel Add-ins on the client to work. For more information about ADFdi have a look at this tutorial on OTN. Or you can of course look at BI Publisher or Apache POI if you're happy with output only spreadsheets

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  • San Joaquin County, California Wins AIIM 2012 Carl E. Nelson Best Practice Award

    - by Peggy Chen
    Last month, AIIM, the global community of information professionals, announced the winners of the 2012 Carl E. Nelson Best Practices Awards. And San Joaquin County, California won in the small company category for 1-100 employees. The Carl E. Nelson Best Practices Award was established to recognize excellence in the area of information management. "Best practice" denotes a standard of excellence that has been achieved with an organization and refers to a process that can be quantified, adapted and repeated. Like many counties, San Joaquin County, California, was faced with huge challenges due to decreasing funds and staff, including decreased cost of building capability. It needed to streamline processes, cut costs per activity, modernize and strengthen the infrastructure, and adopt new technology and standards such as the National Information Exchange Model (NIEM). The Integrated Justice Information System (IJIS) provides a Web-based system to link more than 650,000 residents, 18 agencies countywide and other law enforcement systems nationwide. The county’s modernization initiative focused on replacing its outdated warrant system, implementing service-oriented architecture (SOA) to simplify integration between county law and justice systems, deploying Business Process Management (BPM), Case Management with content management, and Web technologies from Oracle. A critical part of their success has been the proper alignment of our Strategic Vision to the way the organization was enabled to plan and execute (and continues to execute) their modernization project. Congratulations to San Joaquin County!

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  • Pivotal Announces JSR-352 Compliance for Spring Batch

    - by reza_rahman
    Pivotal, the company currently funding development of the popular Spring Framework, recently announced JSR 352 (aka Batch Applications for the Java Platform) compliance for the Spring Batch project. More specifically, Spring Batch targets JSR-352 Java SE runtime compatibility rather than Java EE runtime compatibility. If you are surprised that APIs included in Java EE can pass TCKs targeted for Java SE, you should not be. Many other Java EE APIs target compatibility in Java SE environments such as JMS and JPA. You can read about Spring Batch's support for JSR-352 here as well as the Spring configuration to get JSR-352 working in Spring (typically a very low level implementation concern intended to be completely transparent to most JSR-352 users). JSR 352 is one of the few very encouraging cases of major active contribution to the Java EE standard from the Spring development team (the other major effort being Rod Johnson's co-leadership of JSR 330 along with Bob Lee). While IBM's Christopher Vignola led the spec and contributed IBM's years of highly mission critical batch processing experience from products like WebSphere Compute Grid and z/OS batch, the Spring team provided major influences to the API in particular for the chunk processing, listeners, splits and operational interfaces. The GlassFish team's own Mahesh Kannan also contributed, in particular by implementing much of the Java EE integration work for the reference implementation. This was an excellent example of multilateral engineering collaboration through the standards process. For many complex reasons it is not too hard to find evidence of less than amicable interaction between the Spring ecosystem and the Java EE standard over the years if one cares to dig deep enough. In reality most developers see Spring and Java EE as two sides of the same server-side Java coin. At the core Spring and Java EE ecosystems have always shared deep undercurrents of common user bases, bi-directional flows of ideas and perhaps genuine if not begrudging mutual respect. We can all hope for continued strength for both ecosystems and graceful high notes of collaboration via efforts like JSR 352.

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  • SOA Checklist

    - by pat.shepherd
    In a recent meeting, the customer brought up a valid question: “How do I know if a problem/system is a good candidate for using SOA (vs. using old but trusted techniques).  I put this checklist together.  If you can answer yes to 2 or more of these, it might well be a good candidate.  This is V1, and I will likely update it over time.  Comments (that are not spam or sales pitches) appreciated. Part of the conversation was also around the fact that SOA has two faces to it; one is around the obvious reuse possibilities. The other, that often gets forgotten, is that SOA provides goodness in terms of simplifying integration even where opportunities to reuse those integrations are small; at least the integrations are standards-based and more flexible.  I did not write a lot of verbiage about each of them, for example “Business Process” implies that there is a set of step-wise actions that need to take place in a coordinated fashion that include integrating with systems (and sometimes people for approvals and other human-only actions) in the process.  

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  • WCI Analytics Installation / Configuration Support Webinar

    - by brian.harrison
    Based on the success of the OAM / WCI integration webinar, the second in our series of Technical Support "brown bag" webinars will be delivered on Tuesday, March 30 at 8AM Pacific Daylight Time. Please review the details below, if you would like to attend the webinar, please take a moment to send an email to the address provided for registration and you will be enrolled in the meeting. What are the best practices for installing and configuring Analytics for the WebCenter Interaction (formerly "ALUI") Portal Application? What are some of the most common failures that occur in this implementation and what can be done to correct these common issues? What are the most common reasons for the tables to be "empty" when I try to produce utilization reports? These are just some of the main areas that will be covered in this one hour webinar which will demonstrate the WCI Analytics installation and configuration in action. Our demonstration will focus on areas where Technical Support sees the largest numbers of customer questions become support incidents in an effort to help avoid the need to create an incident to get the implementation working properly in the customer environment. We will demonstrate the most recent version of WCI Analytics (10.3.0.1) for this presentation, but naturally specific issues known to specific versions will be covered as well. Please join us for what we know will be a valuable and relevant learning session. If you would like to attend this session please send an email to [email protected] indicating your interest, and we will respond to you with a meeting invitation including all of the required access information.

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  • Growing Into Enterprise Architecture

    - by pat.shepherd
    I am writing this post as I am in an Enterprise Architecture class, specifically on the Oracle Enterprise Architecture Framework (OEAF).  I have been a long believer that SOA’s key strength is that it is the first IT approach that blends or unifies business and technology.  That is a common view and is certainly valid but is not completely true (or at least accurate).  As my personal view of EA is growing, I realize more than ever that doing EA is FAR MORE than creating a reference architecture, creating a physical architecture or picking a technology to standardize on.  Those are parts of the puzzle but not the whole puzzle by any stretch. I am now a firm believer that the various EA frameworks out there provide the rigor and structure required to allow the bridging of business strategy / vision to IT strategy / vision. The flow goes something like this: Business Strategy –> Business / Application / Information / Technology Architecture –> SOA Reference Architecture –> SOA Functional Architecture.  Governance is imbued throughout to help map, measure and verify the business-to-IT coherence. With those in place, then (and only then) can SOA fulfill it’s potential to be more that an integration strategy, more than a reuse strategy; but also a foundation for tying the results of IT to business vision. Fortunately, EA is a an ongoing process that it is never too late to get started with an understanding of frameworks such as TOGAF, FEA, or OEAF.  Also, EA is never ending in that it always needs to be apply, even once a full-blown Enterprise Architecture is established it needs to be constantly evolved.  For those who are getting deeper into EA as a discipline, there is plenty runway to grow as your company/customer begins to look more seriously at EA. I will close with a pointer to a Great Book I have recently read on this subject: Enterprise Architecture as Strategy (http://www.amazon.com/Enterprise-Architecture-Strategy-Foundation-Execution/dp/1591398398/ref=sr_1_1?ie=UTF8&s=books&qid=1268842865&sr=1-1)

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  • Adding graph in excel based on the content of ADFdi Table

    - by Arun
    Often we tend to represent the data present in the table in a graphical format to give a visual impression of the data. This article would be explaining the way to achieve it using the data we have in ADFdi table of the integrated workbook. Pre-requisites: Microsoft Office 2007 JDeveloper 11.1.1.1.0 and above Assuming we are already having an ADFdi enabled workbook with a table based on an Employee table as shown in the image below. Also, add the table.download to the ribbon toolbar as menu item / as action for the startup event. From excel, we'll add a new 3D bar chart Now, we need to select the data range for the chart. We will take an example of chart based on the salary of the employees. So, the data for the X-Axis of the chart would be the Ename and the data for the Y-Axis being the salary. We can do that by right clicking on the Chart and selecting Select Data. We would select the Legend Entry Series name as the Sal header column in the table, and for the data, we select both the header row and the row below it (by holding Shift key). And, for the Category Axis, we select the Ename header row and the row below it (by holding Shift key). We can get the chart now, by running the Workbook and downloading the data into the table. This simple example can be enhanced for complex graphs by using the data from the ADFdi table to use the power of excel along with ADF Desktop Integration.

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  • Tab Sweep: Java EE 6 Scopes, Observer, SSL, Workshop, Virtual Server, JDBC Connection Validation

    - by arungupta
    Recent Tips and News on Java, Java EE 6, GlassFish & more : • How Java EE 6 Scopes Affect User Interactions (DevX.com) • Why is Java EE 6 better than Spring ? (Arun Gupta) • JavaEE Revisits Design Patterns: Observer (Murat Yener) • Getting started with Glassfish V3 and SSL (JavaDude) • Software stacks market share within Jelastic: March 2012 (Jelastic) • All aboard the Java EE 6 Love Boat! (Bert Ertman) • Full stack Java EE workshop (Kito Mann) • Create a virtual server from console in glassfish (Hector Guzman) • Glassfish – JDBC Connection Validation explained (Alexandru Ersenie) • Automatically setting the label of a component in JSF 2 (Arjan Tijms) • JSF2 + Primefaces3 + Spring3 & Hibernate4 Integration Project (Eren Avsarogullari) • THE EXECUTABLE FEEL OF JAX-RS 2.0 CLIENT (Adam Bien) Here are some tweets from this week ... web-app dtd(s) on http://t.co/4AN0057b R.I.P. using http://t.co/OTZrOEEr instead. Thank you Oracle! finally got GlassFish and Cassandra running embedded so I can unit test my app #jarhell #JavaEE6 + #NetBeans is really a pleasure to work with! Reading latest chapter in #Spring vs #JavaEE wars https://t.co/RqlGmBG9 (and yes, #JavaEE6 is better :P) @javarebel very easy install and very easy to use in combination with @netbeans and @glassfish. Save your time.

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  • IoT? Time for Enterprise Architecture

    - by OTN ArchBeat
    Of course you've been listening to the latest OTN ArchBeat Podcast on the challenges and opportunities in the Internet of Things. If so, you'll also be interested in ZDNet blogger Joe McKendricks' recent post, Will the 'Internet of Things' make CIOs' jobs harder?. In that post McKendrick offers this important bit of advice that will certainly have architects saying "I told you so." Enterprises need to develop architectural approaches to the management of data. Meaning the development of repeatable processes to source, ingest, transform and store information. For years, IT managers simply bought more hardware and addressed data with on-off integration projects. Now it's time for enterprise architecture. IoT is an important new phase in the evolution of enterprise IT. Challenging? You bet! But meeting any such challenge requires big, broad thinking and planning. In that context Enterprise Architecture has always been important. But as IoT gains traction and speed, enterprise architecture should be top of mind for all concerned.

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  • IDC and Becham Research: New analyst reports and webcast

    - by terrencebarr
    Embedded Java is getting a lot of attention in the analyst community these days. Check out these new analyst reports and a webcast by IDC as well as Beecham Research. IDC published a White Paper titled “Ghost in the Machine: Java for Embedded Development”, and an accompanying webcast recording. Highlights of the White Paper: The embedded systems industry is projected to continue to expand rapidly, reaching $2.1 trillion in 2015 The market for intelligent systems, where Java’s rich set of services are most needed, is projected to grow to 78% of all embedded systems in 2015  Java is widely used in embedded systems and is expected to continue to gain traction in areas where devices present an application platform for developers The free IDC webcast and White Paper can be accessed here. Beecham Research published a report titled “Designing an M2M Platform for the Connected World”. Highlights of the report: The total revenue for M2M Services is projected to double, from almost $15 billion in 2012 to over $30 billion in 2016 The primary driver for M2M solutions is now enabling new services Important trends that are developing are: Enterprise integration – more data and using the data more strategically, new markets in the Internet of Things (IoT), processing large amounts of data in real time (complex event processing) Using the same software development environment for all parts of an M2M solution is a major advantage if the software can be optimized for each part of the solution The free Beecham Research report can be accessed here. Cheers, – Terrence Filed under: Mobile & Embedded Tagged: iot, Java Embedded, M2M, research, webcast

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  • IDC and Becham Research: New analyst reports and webcast

    - by terrencebarr
    Embedded Java is getting a lot of attention in the analyst community these days. Check out these new analyst reports and a webcast by IDC as well as Beecham Research. IDC published a White Paper titled “Ghost in the Machine: Java for Embedded Development”, and an accompanying webcast recording. Highlights of the White Paper: The embedded systems industry is projected to continue to expand rapidly, reaching $2.1 trillion in 2015 The market for intelligent systems, where Java’s rich set of services are most needed, is projected to grow to 78% of all embedded systems in 2015  Java is widely used in embedded systems and is expected to continue to gain traction in areas where devices present an application platform for developers The free IDC webcast and White Paper can be accessed here. Beecham Research published a report titled “Designing an M2M Platform for the Connected World”. Highlights of the report: The total revenue for M2M Services is projected to double, from almost $15 billion in 2012 to over $30 billion in 2016 The primary driver for M2M solutions is now enabling new services Important trends that are developing are: Enterprise integration – more data and using the data more strategically, new markets in the Internet of Things (IoT), processing large amounts of data in real time (complex event processing) Using the same software development environment for all parts of an M2M solution is a major advantage if the software can be optimized for each part of the solution The free Beecham Research report can be accessed here. Cheers, – Terrence Filed under: Mobile & Embedded Tagged: iot, Java Embedded, M2M, research, webcast

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  • Contribute to GlassFish in Five Different Ways

    - by arungupta
    GlassFish has a lot to offer from Java EE 6 compliance, HA & Clustering, RESTful administration, IDE integration and many other features. However a recent blog by Markus, a GlassFish Champion, said something different: Ask not what GlassFish can do for you, but ask what you can do for GlassFish! Markus explained how you can easily contribute to GlassFish without being a programming genius. The preparatory steps are simple: • First of all: Don't be afraid! • Prepare yourself - Get up to speed! And then specific suggestions with cross-referenced documents: • Review, Suggest and Add Documentation! • Help Others - be a community hero! • Find and File Bugs on Releases! • Test-drive Promoted Builds and Release Candidates! • Work with Code! Get things done! Are you ready to contribute to GlassFish ? Read more details in Markus's blog.

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  • Java ME SDK 3.0.5 is released!

    - by SungmoonCho
      Java ME SDK 3.0.5 went live! For many months, we have been working hard to fix bugs from previous version, and add a lot of new features demanded by Java ME community. You can download the new version from this link. Please see below for more information. NetBeans Integration All Java ME tools are implemented as NetBeans plugins. Device Manager Java ME SDK now supports multiple device managers. You can switch between different versions of device managers. LWUIT 1.5 Support The Resource Editor is available from the Java ME menu to help you design and organize resources for LWUIT applications. For a description of LWUIT 1.5 features, visit the LWUIT download page Network Monitor Integrated with NetBeans profiling tools, the Network Monitor now supports WMA, SIP, Bluetooth and OBEX, SATSA APDU and JCRMI, and server sockets. CPU Profiler Now uses standard NetBeans profiling facilities to view snapshots. Profiling of VM classes can also be toggled on or off. WURFL Device Database The database has been updated with more than 1000 new devices. Tracing - New tracing functionality now includes CLDC VM events, and monitors events such as exceptions, class loading, garbage collection, and methods invocation. New or updated JSR support - Includes support for JSR 234 (Advanced Multimedia Supplements), JSR 253 (Mobile Telephony API), JSR 257 (Contactless Communication API), JSR 258 (Mobile User Interface Customization API), and JSR 293 (XML API for Java ME).

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  • A Virtual Dilemma

    - by antony.reynolds
    Solving a Gotcha with VirtualBox Guest Additions I was just building a new virtual machine based off an existing image that didn’t have the Virtual Box Guest Additions enabled.  The guest additions allow tight integration between the guest OS and the host environment, providing seemless mouse transfer and the ability to take advantage of full video screen size.  The guest additions need to be linked with the kernel which requires the kernel-devel package to be installed.  After installing this package and then trying to add the guest additions it failed, suggesting that I might not have the kernel-devel package that I had installed.  After a little though I finally realized what had happened.  When I grabbed the kernel-devel package I hadn’t checked the version of my kernel.  The kernel-devel I downloaded didn’t match the revision of the kernel I was running!  Hence my problems.  I upgraded the kernel to the same revision as my kernel-devel package and rebooted.  I had installed dkms so I was pleased to see that my VBox Additions successfully built and the mouse and screen now worked as expected. So now you know my embarrassing story for the day :-)

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  • Diving into OpenStack Network Architecture - Part 2 - Basic Use Cases

    - by Ronen Kofman
      rkofman Normal rkofman 4 138 2014-06-05T03:38:00Z 2014-06-05T05:04:00Z 3 2735 15596 Oracle Corporation 129 36 18295 12.00 Clean Clean false false false false EN-US X-NONE HE /* 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi; mso-bidi-language:AR-SA;} In the previous post we reviewed several network components including Open vSwitch, Network Namespaces, Linux Bridges and veth pairs. In this post we will take three simple use cases and see how those basic components come together to create a complete SDN solution in OpenStack. With those three use cases we will review almost the entire network setup and see how all the pieces work together. The use cases we will use are: 1.       Create network – what happens when we create network and how can we create multiple isolated networks 2.       Launch a VM – once we have networks we can launch VMs and connect them to networks. 3.       DHCP request from a VM – OpenStack can automatically assign IP addresses to VMs. This is done through local DHCP service controlled by OpenStack Neutron. We will see how this service runs and how does a DHCP request and response look like. In this post we will show connectivity, we will see how packets get from point A to point B. We first focus on how a configured deployment looks like and only later we will discuss how and when the configuration is created. Personally I found it very valuable to see the actual interfaces and how they connect to each other through examples and hands on experiments. After the end game is clear and we know how the connectivity works, in a later post, we will take a step back and explain how Neutron configures the components to be able to provide such connectivity.  We are going to get pretty technical shortly and I recommend trying these examples on your own deployment or using the Oracle OpenStack Tech Preview. Understanding these three use cases thoroughly and how to look at them will be very helpful when trying to debug a deployment in case something does not work. Use case #1: Create Network Create network is a simple operation it can be performed from the GUI or command line. When we create a network in OpenStack the network is only available to the tenant who created it or it could be defined as “shared” and then it can be used by all tenants. A network can have multiple subnets but for this demonstration purpose and for simplicity we will assume that each network has exactly one subnet. Creating a network from the command line will look like this: # neutron net-create net1 Created a new network: +---------------------------+--------------------------------------+ | Field                     | Value                                | +---------------------------+--------------------------------------+ | admin_state_up            | True                                 | | id                        | 5f833617-6179-4797-b7c0-7d420d84040c | | name                      | net1                                 | | provider:network_type     | vlan                                 | | provider:physical_network | default                              | | provider:segmentation_id  | 1000                                 | | shared                    | False                                | | status                    | ACTIVE                               | | subnets                   |                                      | | tenant_id                 | 9796e5145ee546508939cd49ad59d51f     | +---------------------------+--------------------------------------+ Creating a subnet for this network will look like this: # neutron subnet-create net1 10.10.10.0/24 Created a new subnet: +------------------+------------------------------------------------+ | Field            | Value                                          | +------------------+------------------------------------------------+ | allocation_pools | {"start": "10.10.10.2", "end": "10.10.10.254"} | | cidr             | 10.10.10.0/24                                  | | dns_nameservers  |                                                | | enable_dhcp      | True                                           | | gateway_ip       | 10.10.10.1                                     | | host_routes      |                                                | | id               | 2d7a0a58-0674-439a-ad23-d6471aaae9bc           | | ip_version       | 4                                              | | name             |                                                | | network_id       | 5f833617-6179-4797-b7c0-7d420d84040c           | | tenant_id        | 9796e5145ee546508939cd49ad59d51f               | +------------------+------------------------------------------------+ We now have a network and a subnet, on the network topology view this looks like this: Now let’s dive in and see what happened under the hood. Looking at the control node we will discover that a new namespace was created: # ip netns list qdhcp-5f833617-6179-4797-b7c0-7d420d84040c   The name of the namespace is qdhcp-<network id> (see above), let’s look into the namespace and see what’s in it: # ip netns exec qdhcp-5f833617-6179-4797-b7c0-7d420d84040c ip addr 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN     link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00     inet 127.0.0.1/8 scope host lo     inet6 ::1/128 scope host        valid_lft forever preferred_lft forever 12: tap26c9b807-7c: <BROADCAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UNKNOWN     link/ether fa:16:3e:1d:5c:81 brd ff:ff:ff:ff:ff:ff     inet 10.10.10.3/24 brd 10.10.10.255 scope global tap26c9b807-7c     inet6 fe80::f816:3eff:fe1d:5c81/64 scope link        valid_lft forever preferred_lft forever   We see two interfaces in the namespace, one is the loopback and the other one is an interface called “tap26c9b807-7c”. This interface has the IP address of 10.10.10.3 and it will also serve dhcp requests in a way we will see later. Let’s trace the connectivity of the “tap26c9b807-7c” interface from the namespace.  First stop is OVS, we see that the interface connects to bridge  “br-int” on OVS: # ovs-vsctl show 8a069c7c-ea05-4375-93e2-b9fc9e4b3ca1     Bridge "br-eth2"         Port "br-eth2"             Interface "br-eth2"                 type: internal         Port "eth2"             Interface "eth2"         Port "phy-br-eth2"             Interface "phy-br-eth2"     Bridge br-ex         Port br-ex             Interface br-ex                 type: internal     Bridge br-int         Port "int-br-eth2"             Interface "int-br-eth2"         Port "tap26c9b807-7c"             tag: 1             Interface "tap26c9b807-7c"                 type: internal         Port br-int             Interface br-int                 type: internal     ovs_version: "1.11.0"   In the picture above we have a veth pair which has two ends called “int-br-eth2” and "phy-br-eth2", this veth pair is used to connect two bridge in OVS "br-eth2" and "br-int". In the previous post we explained how to check the veth connectivity using the ethtool command. It shows that the two are indeed a pair: # ethtool -S int-br-eth2 NIC statistics:      peer_ifindex: 10 . .   #ip link . . 10: phy-br-eth2: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP qlen 1000 . . Note that “phy-br-eth2” is connected to a bridge called "br-eth2" and one of this bridge's interfaces is the physical link eth2. This means that the network which we have just created has created a namespace which is connected to the physical interface eth2. eth2 is the “VM network” the physical interface where all the virtual machines connect to where all the VMs are connected. About network isolation: OpenStack supports creation of multiple isolated networks and can use several mechanisms to isolate the networks from one another. The isolation mechanism can be VLANs, VxLANs or GRE tunnels, this is configured as part of the initial setup in our deployment we use VLANs. When using VLAN tagging as an isolation mechanism a VLAN tag is allocated by Neutron from a pre-defined VLAN tags pool and assigned to the newly created network. By provisioning VLAN tags to the networks Neutron allows creation of multiple isolated networks on the same physical link.  The big difference between this and other platforms is that the user does not have to deal with allocating and managing VLANs to networks. The VLAN allocation and provisioning is handled by Neutron which keeps track of the VLAN tags, and responsible for allocating and reclaiming VLAN tags. In the example above net1 has the VLAN tag 1000, this means that whenever a VM is created and connected to this network the packets from that VM will have to be tagged with VLAN tag 1000 to go on this particular network. This is true for namespace as well, if we would like to connect a namespace to a particular network we have to make sure that the packets to and from the namespace are correctly tagged when they reach the VM network. In the example above we see that the namespace interface “tap26c9b807-7c” has vlan tag 1 assigned to it, if we examine OVS we see that it has flows which modify VLAN tag 1 to VLAN tag 1000 when a packet goes to the VM network on eth2 and vice versa. We can see this using the dump-flows command on OVS for packets going to the VM network we see the modification done on br-eth2: #  ovs-ofctl dump-flows br-eth2 NXST_FLOW reply (xid=0x4):  cookie=0x0, duration=18669.401s, table=0, n_packets=857, n_bytes=163350, idle_age=25, priority=4,in_port=2,dl_vlan=1 actions=mod_vlan_vid:1000,NORMAL  cookie=0x0, duration=165108.226s, table=0, n_packets=14, n_bytes=1000, idle_age=5343, hard_age=65534, priority=2,in_port=2 actions=drop  cookie=0x0, duration=165109.813s, table=0, n_packets=1671, n_bytes=213304, idle_age=25, hard_age=65534, priority=1 actions=NORMAL   For packets coming from the interface to the namespace we see the following modification: #  ovs-ofctl dump-flows br-int NXST_FLOW reply (xid=0x4):  cookie=0x0, duration=18690.876s, table=0, n_packets=1610, n_bytes=210752, idle_age=1, priority=3,in_port=1,dl_vlan=1000 actions=mod_vlan_vid:1,NORMAL  cookie=0x0, duration=165130.01s, table=0, n_packets=75, n_bytes=3686, idle_age=4212, hard_age=65534, priority=2,in_port=1 actions=drop  cookie=0x0, duration=165131.96s, table=0, n_packets=863, n_bytes=160727, idle_age=1, hard_age=65534, priority=1 actions=NORMAL   To summarize we can see that when a user creates a network Neutron creates a namespace and this namespace is connected through OVS to the “VM network”. OVS also takes care of tagging the packets from the namespace to the VM network with the correct VLAN tag and knows to modify the VLAN for packets coming from VM network to the namespace. Now let’s see what happens when a VM is launched and how it is connected to the “VM network”. Use case #2: Launch a VM Launching a VM can be done from Horizon or from the command line this is how we do it from Horizon: Attach the network: And Launch Once the virtual machine is up and running we can see the associated IP using the nova list command : # nova list +--------------------------------------+--------------+--------+------------+-------------+-----------------+ | ID                                   | Name         | Status | Task State | Power State | Networks        | +--------------------------------------+--------------+--------+------------+-------------+-----------------+ | 3707ac87-4f5d-4349-b7ed-3a673f55e5e1 | Oracle Linux | ACTIVE | None       | Running     | net1=10.10.10.2 | +--------------------------------------+--------------+--------+------------+-------------+-----------------+ The nova list command shows us that the VM is running and that the IP 10.10.10.2 is assigned to this VM. Let’s trace the connectivity from the VM to VM network on eth2 starting with the VM definition file. The configuration files of the VM including the virtual disk(s), in case of ephemeral storage, are stored on the compute node at/var/lib/nova/instances/<instance-id>/. Looking into the VM definition file ,libvirt.xml,  we see that the VM is connected to an interface called “tap53903a95-82” which is connected to a Linux bridge called “qbr53903a95-82”: <interface type="bridge">       <mac address="fa:16:3e:fe:c7:87"/>       <source bridge="qbr53903a95-82"/>       <target dev="tap53903a95-82"/>     </interface>   Looking at the bridge using the brctl show command we see this: # brctl show bridge name     bridge id               STP enabled     interfaces qbr53903a95-82          8000.7e7f3282b836       no              qvb53903a95-82                                                         tap53903a95-82    The bridge has two interfaces, one connected to the VM (“tap53903a95-82 “) and another one ( “qvb53903a95-82”) connected to “br-int” bridge on OVS: # ovs-vsctl show 83c42f80-77e9-46c8-8560-7697d76de51c     Bridge "br-eth2"         Port "br-eth2"             Interface "br-eth2"                 type: internal         Port "eth2"             Interface "eth2"         Port "phy-br-eth2"             Interface "phy-br-eth2"     Bridge br-int         Port br-int             Interface br-int                 type: internal         Port "int-br-eth2"             Interface "int-br-eth2"         Port "qvo53903a95-82"             tag: 3             Interface "qvo53903a95-82"     ovs_version: "1.11.0"   As we showed earlier “br-int” is connected to “br-eth2” on OVS using the veth pair int-br-eth2,phy-br-eth2 and br-eth2 is connected to the physical interface eth2. The whole flow end to end looks like this: VM è tap53903a95-82 (virtual interface)è qbr53903a95-82 (Linux bridge) è qvb53903a95-82 (interface connected from Linux bridge to OVS bridge br-int) è int-br-eth2 (veth one end) è phy-br-eth2 (veth the other end) è eth2 physical interface. The purpose of the Linux Bridge connecting to the VM is to allow security group enforcement with iptables. Security groups are enforced at the edge point which are the interface of the VM, since iptables nnot be applied to OVS bridges we use Linux bridge to apply them. In the future we hope to see this Linux Bridge going away rules.  VLAN tags: As we discussed in the first use case net1 is using VLAN tag 1000, looking at OVS above we see that qvo41f1ebcf-7c is tagged with VLAN tag 3. The modification from VLAN tag 3 to 1000 as we go to the physical network is done by OVS  as part of the packet flow of br-eth2 in the same way we showed before. To summarize, when a VM is launched it is connected to the VM network through a chain of elements as described here. During the packet from VM to the network and back the VLAN tag is modified. Use case #3: Serving a DHCP request coming from the virtual machine In the previous use cases we have shown that both the namespace called dhcp-<some id> and the VM end up connecting to the physical interface eth2  on their respective nodes, both will tag their packets with VLAN tag 1000.We saw that the namespace has an interface with IP of 10.10.10.3. Since the VM and the namespace are connected to each other and have interfaces on the same subnet they can ping each other, in this picture we see a ping from the VM which was assigned 10.10.10.2 to the namespace: The fact that they are connected and can ping each other can become very handy when something doesn’t work right and we need to isolate the problem. In such case knowing that we should be able to ping from the VM to the namespace and back can be used to trace the disconnect using tcpdump or other monitoring tools. To serve DHCP requests coming from VMs on the network Neutron uses a Linux tool called “dnsmasq”,this is a lightweight DNS and DHCP service you can read more about it here. If we look at the dnsmasq on the control node with the ps command we see this: dnsmasq --no-hosts --no-resolv --strict-order --bind-interfaces --interface=tap26c9b807-7c --except-interface=lo --pid-file=/var/lib/neutron/dhcp/5f833617-6179-4797-b7c0-7d420d84040c/pid --dhcp-hostsfile=/var/lib/neutron/dhcp/5f833617-6179-4797-b7c0-7d420d84040c/host --dhcp-optsfile=/var/lib/neutron/dhcp/5f833617-6179-4797-b7c0-7d420d84040c/opts --leasefile-ro --dhcp-range=tag0,10.10.10.0,static,120s --dhcp-lease-max=256 --conf-file= --domain=openstacklocal The service connects to the tap interface in the namespace (“--interface=tap26c9b807-7c”), If we look at the hosts file we see this: # cat  /var/lib/neutron/dhcp/5f833617-6179-4797-b7c0-7d420d84040c/host fa:16:3e:fe:c7:87,host-10-10-10-2.openstacklocal,10.10.10.2   If you look at the console output above you can see the MAC address fa:16:3e:fe:c7:87 which is the VM MAC. This MAC address is mapped to IP 10.10.10.2 and so when a DHCP request comes with this MAC dnsmasq will return the 10.10.10.2.If we look into the namespace at the time we initiate a DHCP request from the VM (this can be done by simply restarting the network service in the VM) we see the following: # ip netns exec qdhcp-5f833617-6179-4797-b7c0-7d420d84040c tcpdump -n 19:27:12.191280 IP 0.0.0.0.bootpc > 255.255.255.255.bootps: BOOTP/DHCP, Request from fa:16:3e:fe:c7:87, length 310 19:27:12.191666 IP 10.10.10.3.bootps > 10.10.10.2.bootpc: BOOTP/DHCP, Reply, length 325   To summarize, the DHCP service is handled by dnsmasq which is configured by Neutron to listen to the interface in the DHCP namespace. Neutron also configures dnsmasq with the combination of MAC and IP so when a DHCP request comes along it will receive the assigned IP. Summary In this post we relied on the components described in the previous post and saw how network connectivity is achieved using three simple use cases. These use cases gave a good view of the entire network stack and helped understand how an end to end connection is being made between a VM on a compute node and the DHCP namespace on the control node. One conclusion we can draw from what we saw here is that if we launch a VM and it is able to perform a DHCP request and receive a correct IP then there is reason to believe that the network is working as expected. We saw that a packet has to travel through a long list of components before reaching its destination and if it has done so successfully this means that many components are functioning properly. In the next post we will look at some more sophisticated services Neutron supports and see how they work. We will see that while there are some more components involved for the most part the concepts are the same. @RonenKofman

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  • JDK bug migration: bugs.sun.com now backed by JIRA

    - by darcy
    The JDK bug migration from a Sun legacy system to JIRA has reached another planned milestone: the data displayed on bugs.sun.com is now backed by JIRA rather than by the legacy system. Besides maintaining the URLs to old bugs, bugs filed since the migration to JIRA are now visible too. The basic information presented about a bug is the same as before, but reformatted and using JIRA terminology: Instead of a "category", a bug now has a "component / subcomponent" classification. As outlined previously, part of the migration effort was reclassifying bugs according to a new classification scheme; I'll write more about the new scheme in a subsequent blog post. Instead of a list of JDK versions a bug is "reported against," there is a list of "affected versions." The names of the JDK versions have largely been regularized; code names like "tiger" and "mantis" have been replaced by the release numbers like "5.0" and "1.4.2". Instead of "release fixed," there are now "Fixed Versions." The legacy system had many fields that could hold a sequence of text entries, including "Description," "Workaround", and "Evaluation." JIRA instead only has two analogous fields labeled as "Description" and a unified stream of "Comments." Nearly coincident with switching to JIRA, we also enabled an agent which automatically updates a JIRA issue in response to pushes into JDK-related Hg repositories. These comments include the changeset URL, the user making the push, and a time stamp. These comments are first added when a fix is pushed to a team integration repository and then added again when the fix is pushed into the master repository for a release. We're still in early days of production usage of JIRA for JDK bug tracking, but the transition to production went smoothly and over 1,000 new issues have already been filed. Many other facets of the migration are still in the works, including hosting new incidents filed at bugs.sun.com in a tailored incidents project in JIRA.

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  • JDK 7 Feature Complete Milestone Reached

    - by Henrik Ståhl
    The JDK 7 project has reached Feature Complete (FC). This means that development and QA have finished all planned feature and test development work in the release and are moving the focus to testing and bug fixing on all supported JDK 7 platforms. This is a major step towards JDK 7 General Availability (GA) and implies that we are tracking close to the plan published on openjdk.java.net. (The original plan was FC on 12/16. We hit this less than a week late, but verifying that everything was done in time took a couple of weeks due to the intervening holidays.) The definition of the FC milestone allows for exceptions to be integrated later. There are very few such exceptions in the project, the most prominent being updated JAXP/JAXB/JAX-WS and integration of the enhanced JMX agent from JRockit. Our project management does not expect the exceptions to have any negative impact on the release plan. The project may still be delayed if the Expert Groups for the JSRs included in Java SE 7 (203, 292, 334, 336) decide to introduce changes which cannot be accomodated within the existing schedule. Apart from that caveat, Oracle remains confident with the published plan.

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  • Jersey 1.8 is released

    - by Jakub Podlesak
    On the last Friday, we have released the 1.8 version of Jersey, the open source, production quality, reference implementation of JAX-RS. The JAX-RS 1.1 specification is available at the JCP web site and also available in non-normative HTML here. For an overview of JAX-RS features read the Jersey user guide. To get started with Jersey read the getting started section of that guide. To understand more about what Jersey depends on read the dependencies section of that guide. See change log here. This, 1.8, version of Jersey is going to be integrated into GlassFish 3.1.1 and contains bug fixes mainly. The most important fix from this perspective is included in the JAX-RS/EJB integration layer. It is now possible to implement JAX-RS resources as EJB Session beans, which implement local and/or remote interfaces. This functionality was broken in previous releases. Another great addition should come into the client space, where Pavel has already done some preparation in the client API (including some breaking changes there) for the non-blocking asynchronous client feature. The implementation is already part of the experimental Jersey space and should be included as part of the stable Jersey bits in some of the coming releases. For feedback send email to: [email protected] (archived here) or log bugs/features here.

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  • Jersey 2 Integrated in GlassFish 4

    - by arungupta
    JAX-RS 2.0 has released Early Draft 3 and Jersey 2 (the implementation of JAX-RS 2.0) released Milestone 5. Jakub reported that this milestone is now integrated in GlassFish 4 builds. The first integration has basic functionality working and leaves EJB, CDI, and Validation for the coming months. TOTD #182 explains how to get started with creating a simple Maven-based application, deploying on GlassFish 4, and using the newly introduced Client API to test the REST endpoint. GlassFish 4 contains Jersey 2 as the JAX-RS implementation. If you want to use Jersey 1.1 functionality, then Martin's blog provide more details on that. All JAX-RS 1.x functionality will be supported using standard APIs anyway. This workaround is only required if Jersey 1.x functionality needs to be accessed. Here are some pointers to follow JAX-RS 2 Specification Early Draft 3 Latest status on specification (jax-rs-spec.java.net) Latest JAX-RS 2.0 Javadocs Latest status on Jersey 2 (jersey.java.net) Latest Jersey API Javadocs Latest GlassFish 4.0 Promoted Build Follow @gf_jersey Provide feedback on Jersey 2 to [email protected] and JAX-RS specification to [email protected].

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  • Groovy Refactoring in NetBeans

    - by Martin Janicek
    Hi guys, during the NetBeans 7.3 feature development, I spend quite a lot of time trying to get some basic Groovy refactoring to the game. I've implemented find usages and rename refactoring for some basic constructs (class types, fields, properties, variables and methods). It's certainly not perfect and it will definitely need a lot fixes and improvements to get it hundred percent reliable, but I need to start somehow :) I would like to ask all of you to test it as much as possible and file a new tickets to the cases where it doesn't work as expected (e.g. some occurrences which should be in usages isn't there etc.) ..it's really important for me because I don't have real Groovy project and thus I can test only some simple cases. I can promise, that with your help we can make it really useful for the next release. Also please be aware that the current version is focusing only on the .groovy files. That means it won't find any usages from the .java files (and the same applies for finding usages from java files - it won't find any groovy usages). I know it's not ideal, but as I said.. we have to start somehow and it wasn't possible to make it all-in-one, so only other option was to wait for the NetBeans 7.4. I'll focus on better Java-Groovy integration in the next release (not only in refactoring, but also in navigation, code completion etc.) BTW: I've created a new component with surprising name "Refactoring" in our bugzilla[1], so please put the reported issues into this category. [1] http://netbeans.org/bugzilla/buglist.cgi?product=groovy;component=Refactoring

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