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  • Még egy kis Iron Man 2...

    - by Fekete Zoltán
    Az Oracle website-on az Iron Man 2 oldalon található sok információ többek között ezekrol a témákról: - Oracle Cloud Computing - Exadata, Sun Oracle Database Machine - Oracle Enterprise Manager Megnézhetjük az Iron Man 2 trailert is: Iron Man 2 oldalon, továbbá a speciális Oracle szoftver és hardverrol is szóló mozi elozetes megmutatja mit jelent ez a kombináció az innovatív cégeknek.

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  • Access .accdb format’s

    - by wisecarver
    Were you aware there are two versions of the Access .accdb file format? The 2007 “ACE” version and the 2010 “ACE” version both use different drivers. If you’ve tried to use the Access Database .accdb format on DiscountASP.NET servers and it failed you must have been using a Data file created with the 2010 version of Access. OK, you’re shouting at me right now for even suggesting Access Databases for Shared hosting, right? I agree, SQL Server is the way to go and I personally help a lot of developers...(read more)

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  • Music before bells and whistles

    - by Tony Davis
    Why is it that Windows has so much difficulty in finding content on its file system? This is not an insurmountable technical problem; on my laptop, I have a database within which I can instantly find text or names within millions of records, within 300 milliseconds. I have a copy of Google Desktop that can find phrases within emails or documents, almost as quickly. It is an important, though mundane, part of an operating system to be able to find files. The first thing I notice within Windows is that the facility to find files or text within files is called 'search' rather than 'find'. Hmm. This doesn’t bode well. What’s this? It does a brute-force search for file names? Here we are in an age when we can breed mice that glow in the dark, and manufacture computers that fit in our shirt pockets, and we find an operating system that is still entirely innocent of managing and indexing content in hierarchical data. I can actually read the files of my PC into a database, mimic the directory/folder hierarchies and then find files in a flash; but when I do the same with Windows Vista, we are suddenly back in a 1960s time warp. Finding files based on their name is bad enough, but finding files based on the content that they contain is more or less asking for an opportunity to wait 20 minutes in order to see a "file not found" message. Sadly, with Windows 7, Microsoft seems to have fallen into the familiar trap of adding bells and whistles before finishing the song. It's certainly true that Microsoft has added new features and a certain polish to Windows Search 4.0, the latest incarnation. It works more like a web search and offers a new search syntax, called Advanced Query Syntax, which allows you to search on file author, file size, date ranges (e.g. date:=7/4/09still does not work reliably. I've experienced first-hand its stubborn refusal, despite a full index, to acknowledge the existence of a file I know exists, based on a search for a specific term within that file that I know is in there somewhere; a file that Google Desktop search, or old wingrep, finds in seconds. When users hark back to the halcyon days of Windows XP search, you know something is seriously amiss. Shouldn't applications get the functionality right before applying animated menus and Teletubby graphics, or is advancing age making me grumpy? I’d be pleased to hear your views, as always. Cheers, Tony.

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  • Log & monitor mysql databases on servers

    - by user3215
    How MySQL databases logged and monitored on ubuntu servers in real time?. I checked /var/log/mysql.log and found it empty. EDIT 1: The log was not enabled in the mysql configuration file. Now it logs and I could see the logs in the file /var/log/mysql/mysql.log But this could not be sufficient to gather additional information about the database logs. Is there any other way or any popular open source tool?

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  • Going Metro

    - by Tony Davis
    When it was announced, I confess was somewhat surprised by the striking new "Metro" User Interface for Windows 8, based on Swiss typography, Bauhaus design, tiles, touches and gestures, and the new Windows Runtime (WinRT) API on which Metro apps were to be built. It all seemed to have come out of nowhere, like field mushrooms in the night and seemed quite out-of-character for a company like Microsoft, which has hung on determinedly for over twenty years to its quaint Windowing system. Many were initially puzzled by the lack of support for plug-ins in the "Metro" version of IE10, which ships with Win8, and the apparent demise of Silverlight, Microsoft's previous 'radical new framework'. Win8 signals the end of the road for Silverlight apps in the browser, but then its importance here has been waning for some time, anyway, now that HTML5 has usurped its most compelling use case, streaming video. As Shawn Wildermuth and others have noted, if you're doing enterprise, desktop development with Silverlight then nothing much changes immediately, though it seems clear that ultimately Silverlight will die off in favor of a single WPF/XAML framework that supports those technologies that were pioneered on the phones and tablets. There is a mystery here. Is Silverlight dead, or merely repurposed? The more you look at Metro, the more it seems to resemble Silverlight. A lot of the philosophies underpinning Silverlight applications, such as the fundamentally asynchronous nature of the design, have moved wholesale into Metro, along with most the Microsoft Silverlight dev team. As Simon Cooper points out, "Silverlight developers, already used to all the principles of sandboxing and separation, will have a much easier time writing Metro apps than desktop developers". Metro certainly has given the framework formerly known as Silverlight a new purpose. It has enabled Microsoft to bestow on Windows 8 a new "duality", as both a traditional desktop OS supporting 'legacy' Windows applications, and an OS that supports a new breed of application that can share functionality such as search, that understands, and can react to, the full range of gestures and screen-sizes, and has location-awareness. It's clear that Win8 is developed in the knowledge that the 'desktop computer' will soon be a very large, tilted, touch-screen monitor. Windows owes its new-found versatility to the lessons learned from Windows Phone, but it's developed for the big screen, and with full support for familiar .NET desktop apps as well as the new Metro apps. But the old mouse-driven Windows applications will soon look very passé, just as MSDOS character-mode applications did in the nineties. Cheers, Tony.

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  • Auto Mocking using JustMock

    - by mehfuzh
    Auto mocking containers are designed to reduce the friction of keeping unit test beds in sync with the code being tested as systems are updated and evolve over time. This is one sentence how you define auto mocking. Of course this is a more or less formal. In a more informal way auto mocking containers are nothing but a tool to keep your tests synced so that you don’t have to go back and change tests every time you add a new dependency to your SUT or System Under Test. In Q3 2012 JustMock is shipped with built in auto mocking container. This will help developers to have all the existing fun they are having with JustMock plus they can now mock object with dependencies in a more elegant way and without needing to do the homework of managing the graph. If you are not familiar with auto mocking then I won't go ahead and educate you rather ask you to do so from contents that is already made available out there from community as this is way beyond the scope of this post. Moving forward, getting started with Justmock auto mocking is pretty simple. First, I have to reference Telerik.JustMock.Container.DLL from the installation folder along with Telerik.JustMock.DLL (of course) that it uses internally and next I will write my tests with mocking container. It's that simple! In this post first I will mock the target with dependencies using current method and going forward do the same with auto mocking container. In short the sample is all about a report builder that will go through all the existing reports, send email and log any exception in that process. This is somewhat my  report builder class looks like: Reporter class depends on the following interfaces: IReporBuilder: used to  create and get the available reports IReportSender: used to send the reports ILogger: used to log any exception. Now, if I just write the test without using an auto mocking container it might end up something like this: Now, it looks fine. However, the only issue is that I am creating the mock of each dependency that is sort of a grunt work and if you have ever changing list of dependencies then it becomes really hard to keep the tests in sync. The typical example is your ASP.NET MVC controller where the number of service dependencies grows along with the project. The same test if written with auto mocking container would look like: Here few things to observe: I didn't created mock for each dependencies There is no extra step creating the Reporter class and sending in the dependencies Since ILogger is not required for the purpose of this test therefore I can be completely ignorant of it. How cool is that ? Auto mocking in JustMock is just released and we also want to extend it even further using profiler that will let me resolve not just interfaces but concrete classes as well. But that of course starts the debate of code smell vs. working with legacy code. Feel free to send in your expert opinion in that regard using one of telerik’s official channels. Hope that helps

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  • July, the 31 Days of SQL Server DMO’s – Day 21 (sys.dm_db_partition_stats)

    - by Tamarick Hill
    The sys.dm_db_partition_stats DMV returns page count and row count information for each table or index within your database. Lets have a quick look at this DMV so we can review some of the results. **NOTE: I am going to create an ‘ObjectName’ column in our result set so that we can more easily identify tables. SELECT object_name(object_id) ObjectName, * FROM sys.dm_db_partition_stats As stated above, the first column in our result set is an Object name based on the object_id column of this result set. The partition_id column refers to the partition_id of the index in question. Each index will have at least 1 unique partition_id and will have more depending on if the object has been partitioned. The index_id column relates back to the sys.indexes table and uniquely identifies an index on a given object. A value of 0 (zero) in this column would indicate the object is a HEAP and a value of 1 (one) would signify the Clustered Index. Next is the partition_number which would signify the number of the partition for a particular object_id. Since none of my tables in my result set have been partitioned, they all display 1 for the partition_number. Next we have the in_row_data_page_count which tells us the number of data pages used to store in-row data for a given index. The in_row_used_page_count is the number of pages used to store and manage the in-row data. If we look at the first row in the result set, we will see we have 700 for this column and 680 for the previous. This means that just to manage the data (not store it) is requiring 20 pages. The next column in_row_reserved_page_count is how many pages have been reserved, regardless if they are being used or not. The next 2 columns are used for storing LOB (Large Object) data which could be text, image, varchar(max), or varbinary(max) columns. The next two columns, row_overflow, represent pages used for data that exceed the 8,060 byte row size limit for the in-row data pages. The next columns used_page_count and reserved_page_count represent the sum of the in_row, lob, and row_overflow columns discussed earlier. Lastly is a row_count column which displays the number of rows that are in a particular index. This DMV is a very powerful resource for identifying page and row count information. By knowing the page counts for indexes within your database, you are able to easily calculate the size of indexes. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms187737.aspx Follow me on Twitter @PrimeTimeDBA

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  • SQL SERVER – Sharing your ETL Resources Across Applications with Ease

    - by pinaldave
    Frequently an organization will find that the same resources are used in multiple ETL applications, for example, the same database, general purpose processing logic, or file system locations.  Creating an easy way to reuse these resources across multiple applications would increase efficiency and reduce errors.  Moreover, not every ETL developer has the same skill set, and it is likely that one developer will be more adept at writing code while another is more comfortable configuring database connections.  Real productivity gains will come when these developers are able to work independently while still making their work available to others assigned to the same project.  These are the benefits of a centralized version control system. Of course, most version control systems could be used to store and serve files, but the real need is to store and serve entire ETL applications so that each developer’s ongoing work can immediately benefit from another developer’s completed work.  In other words, the version control system needs to be tightly integrated with the tools used to develop the ETL application. The following screen shot shows such a tool. Desktop ETL tool that tightly integrates with a central version control system Developers can checkout or commit entire projects or just a single artifact.  Each artifact may be managed independently so if you need to go back to an earlier version of one artifact, changes you may have made to other artifacts are not lost.  By being tightly integrated into the graphical environment used to create and edit the project artifacts, it is extremely easy and straight-forward to move your files to and from the version control system and there is no dependency on another vendor’s version control system.  The built in version control system is optimized for managing the artifacts of ETL applications. It is equally important that the version control system supports all of the actions one typically performs such as rollbacks, locking and unlocking of files, and the ability to resolve conflicts.  Note that this particular ETL tool also has the capability to switch back and forth between multiple version control systems. It also needs to be easy to determine the status of an artifact.  Not just that it has been committed or modified, but when and by whom.  Generally you must query the version control system for this information, but having it displayed within the development environment is more desirable. Who’s ETL tool works in this fashion?  Last month I mentioned the data integration solution offered by expressor software.  The version control features I described in this post are all available in their just released expressor 3.1 Standard Edition through the integration of their expressor Studio development environment with a centralized metadata repository and version control system. You can download their Studio application, which is free, or evaluate the full Standard Edition on your own hardware.  It may be worth your time. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Oracle Releases New Mainframe Re-Hosting in Oracle Tuxedo 11g

    - by Jason Williamson
    I'm excited to say that we've released our next generation of Re-hosting in 11g. In fact I'm doing some hands-on labs now for our Systems Integrators in Italy in a couple of weeks and targeting Latin America next month. If you are an SI, or Rehosting firm and are looking to become an Oracle Partner or get a better understanding of Tuxedo and how to use the workbench for rehosting...drop me a line. Oracle Tuxedo Application Runtime for CICS and Batch 11g provides a CICS API emulation and Batch environment that exploits the full range of Oracle Tuxedo's capabilities. Re-hosted applications run in a multi-node, grid environment with centralized production control. Also, enterprise integration of CICS application services benefits from an open and SOA-enabled framework. Key features include: CICS Application Runtime: Can run IBM CICS applications unchanged in an application grid, which enables the distribution of large workloads across multiple processors and nodes. This simplifies CICS administration and can scale to over 100,000 users and over 50,000 transactions per second. 3270 Terminal Server: Protects business users from change through support for tn3270 terminal emulation. Distributed CICS Resource Management: Simplifies deployment and administration by allowing customers to run CICS regions in a distributed configuration. Batch Application Runtime: Provides robust IBM JES-like job management that enables local or remote job submissions. In addition, distributed batch initiators can enable parallelization of jobs and support fail-over, shortening the batch window and helping to meet stringent SLAs. Batch Execution Environment: Helps to run IBM batch unchanged and also supports JCL functionality and all common batch utilities. Oracle Tuxedo Application Rehosting Workbench 11g provides a set of automated migration tools integrated around a central repository. The tools provide high precision which results in very low error rates and the ability to handle large applications. This enables less expensive, low-risk migration projects. Key capabilities include: Workbench Repository and Cataloguer: Ensures integrity of the migrated application assets through full dependency checking. The Cataloguer generates and maintains all relevant meta-data on source and target components. File Migrator: Supports reliable migration of datasets and flat files to an ISAM or Oracle Database 11g. This is done through the automated migration utilities for data unloading, reloading and validation. It also generates logical access functions to shield developers from data repository changes. DB2 Migrator: Similarly, this tool automates the migration of DB2 schema and data to Oracle Database 11g. COBOL Migrator: Supports migration of IBM mainframe COBOL assets (OLTP and Batch) to open systems. Adapts programs for compiler dialects and data access variations. JCL Migrator: Supports migration of IBM JCL jobs to a Tuxedo ART environment, maintaining the flow and characteristics of batch jobs.

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  • links for 2011-03-15

    - by Bob Rhubart
    Dr. Frank Munz: Resize AWS EC2 Cloud Instances Dr Munz says: "You cannot dynamically resize a running cloud instance. E.g. there is no API call to ask for 2.2 GHz CPU speed instead of 1.8 GHz or to dynamically add another 3.5 GB of RAM." (tags: oracle cloud amazon ec2) Roddy Rodstein: Oracle VM Manager Architecture and Scalability Rodstein says: "Oracle VM Manager can be installed in an all-in-one configuration using the default Oracle 10g Express Database or in a more traditional two tier architecture with an OC4J web tier and a 10 or 11g database tier." (tags: oracle otn virtualization oraclevm) Mark Nelson: Getting started with Continuous Integration for SOA projects Nelson says: "I am exploring how to use Maven and Hudson to create a continuous integration capability for SOA and BPM projects. This will be the first post of several on this topic, and today we will look at setting up some simple continuous integration for a single SOA project." (tags: oracle maven hudson soa bpm) 5 New Java Champions (The Java Source) Tori Wieldt shares the big news. Congratulations to new Java Champs Jonas Bonér, James Strachan, Rickard Oberg, Régina ten Bruggencate, and Clara Ko. (tags: oracle java) Alert for Forms customers running Oracle Forms 10g (Grant Ronald's Blog) Ronald says: "While you might have been happily running your Forms 10g applications for about 5 years or so now, the end of premier support is creeping up and you need to start planning for a move to Oracle Forms 11g." (tags: oracle oracleforms) Brenda Michelson: Enterprise Architecture Rant #4,892 "I’m increasingly concerned about the macro-direction of our field, as we continue to suffer ivory tower enterprise architecture punditry, rigid frameworks and endless philosophical waxing." - Brenda Michelson (tags: entarch enterprisearchitecture ivorytower) Amitabh Apte: Enterprise Architecture - Different Perspectives "Business does not need Enterprise Architecture," says Apte, "it needs value and outcomes from the EA function." (tags: entarch enterprisearchitecture) First Ever MySQL on Windows Online Forum - March 16, 2011 (Oracle's MySQL Blog) Monica Kumar shares the details. (tags: oracle mysql mswindows) Jeff Davies: Running Multiple WebLogic and OSB Domains "There is a small 'gotcha' if you want to create multiple domains on a devevelopment machine," says Jeff Davies. But don't worry - there's a solution. (tags: oracle soa osb weblogic servicebus) The Arup Nanda Blog: Good Engineering "Engineering is not about being superficially creative," Nanda says, "it's about reliability and trustworthiness." (tags: oracle engineering software technology) Welcome to the SOA & E2.0 Partner Community Forum (SOA Partner Community Blog) (tags: ping.fm)

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  • The Jack LaLanne School of Sysadmins

    - by rickramsey
    Two of my childhood heroes were Tarzan and Jack LaLanne. Tarzan was an obvious choice: what boy wouldn't want to spend his days bungee jumping through the jungle with his own pack of gorillas? Jack Lalanne had a disturbing habit of wearing stretch pants, but he was so damn fit for an old guy that you couldn't help but be impressed. Especially back then, when nobody knew what a dumb bell was, much less Cross-Fit. Here's what he did to celebrate his 70th birthday. Sooner or later we all face a choice in our careers: surrender to the life of a has-been like Bruce Sprinsteen's baseball player or become an unstoppable sysadmin like Jack Lalanne. If you'd rather keep on fighting like Jack, give these resources a look. Brian Bream's blog provides specific suggestions for keeping your skills up to date. The video interviews describe the types of technologies that are challenging what you used to know. Blog: The Old School Sysadmin - A Dying Breed? by Brian Bream "The sysadmin role has been far too dependent on performing repetitive tasks and working in a reactionary mode ... the sysadmin must grow a much larger skill set to be successful. Don’t grow vertically in one technology, grow horizontally amongst many technologies." Just one of the suggestions Brian Bream provides in this excellent blog post. Video: Freeing the Sysadmin From Repetitive Tasks Interview with Marshall Choy Marshall Choy, Director of Optimized Solutions at Oracle was once a sysadmin. And a Solaris engineer. He explains what optimized solutions are, how they are developed and tested, how they handle patching, and how these vertically integrated systems impact the job and duties of a sysadmin. Video: The Oracle Database Appliance Interview with Bob Thome Bob Thome, Senior Director of Product Management, explains what makes the Database Appliance simple, reliable, and affordable, and how it could change the economies and processes of the data center. Video: Why Pinellas County Chose Oracle Exalytics Interview with Gautham Gautham (pronounced like Batman's Gotham) recently led an effort to refresh the Pinellas County hardware systems. He'll explain what they were looking for, why they chose Oracle Exalytics, how they became convinced it was the right decision, and how it changed the way they managed their data center. Video: DTrace for System Administrators Interview with Brendan Gregg This video interview will give you an idea of some of the value-add tasks you can perform when you are freed from the reactive mode that Brian Bream describes in his blog. Brendan Gregg describes the best ways for sysadmins to tune deployed applications to get more performance out of them in their particular computing environment photograph of Ford Mustang GT 500 taken at Gateway Museum copyright by Rick Ramsey -Rick Follow me on: Blog | Facebook | Twitter | Personal Twitter | YouTube | The Great Peruvian Novel

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  • Red Gate Rolls Out the Red Carpet for SQL Server Users

    SQL in the City, the unique event for database developers and administrators organized by Red Gate Software, hits the streets of London and Seattle this fall. Now in its fourth year, it features presentations by some of the world’s top SQL Server speakers. Can 41,000 DBAs really be wrong? Join 41,000 other DBAs who are following the new series from the DBA Team: the 5 Worst Days in a DBA’s Life. Part 3, As Corrupt As It Gets, is out now – read it here.

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  • BI&EPM in Focus June 2013

    - by Mike.Hallett(at)Oracle-BI&EPM
    Analyst Report from Ovum: BI bites into a bigger slice of Oracle’s Red Stack Customers INC Research Ensures 24/7 Enterprise Application Availability and Supports Rapid Expansion in Asia with Managed Cloud Services – Hyperion Planning, PeopleSoft, E-Business Suite, SOA Suite PL Developments Improves Quality and Demand Planning Accuracy, Streamlines Compliance as It Moves into Manufacturing – Hyperion Planning, OBIEE, E-Business Suite Release 12.1, Agile, Demantra Kiabi Provides Store Managers with Monthly Earnings Statements in Four Business Days to Support Continued Retail Growth – Hyperion Planning, Hyperion Financial Reporting, Hyperion Smart View for Office Speedy Cash Improves Global Financial Budgeting and Forecasting to Support Continued Company Growth - Hyperion Planning, Essbase, Hyperion Smart View for Office, Hyperion Financial Management Grupo Sports World Automates and Reduces Budget Consolidation Time by 33% for 30 Fitness Centers – Hyperion Planning Jupiter Shop Channel Automates Budgeting Processes, Enhances Visibility of Project Investments to Support Strategic Decision-Making – Hyperion Planning GENBAND Saves US$1.25 Million Annually with Automated Global Trade Management, Gains Compliance Assurance – Hyperion Financial Management, E-Business Suite Aldar Properties Consolidates and Simplifies Group Planning and Reporting for Business and Finance Structures with Integrated ERP and Business Intelligence – Hyperion Planning, Essbase, Data Integrator, OBIEE, E-Business Suite, SUN Link to Complete Archive Enterprise Performance Management Hyperion EPM 11.1.2.3 Webcast Tutorials EPM Blog: Three Technologies CFOs Need to Know About The CFO as Catalyst for Change - Part 1 The CFO as Catalyst for Change - Part 2 Actions Speak Louder in Scorecards Unlocking Business Potential with Enterprise Performance Management Business Intelligence Oracle Database 12c is launched Analysis: How to Take Big Data Advantage of Oracle Database 12c by Data-informed.com Normal 0 false false false EN-GB X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; 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:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;}

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  • SQL SERVER – Detecting guest User Permissions – guest User Access Status

    - by pinaldave
    Earlier I wrote the blog post SQL SERVER – Disable Guest Account – Serious Security Issue, and I got many comments asking questions related to the guest user. Here are the comments of Manoj: 1) How do we know if the uest user is enabled or disabled? 2) What is the default for guest user in SQL Server? Default settings for guest user When SQL Server is installed by default, the guest user is disabled for security reasons. If the guest user is not properly configured, it can create a major security issue. You can read more about this here. Identify guest user status There are multiple ways to identify guest user status: Using SQL Server Management Studio (SSMS) You can expand the database node >> Security >> Users. If you see the RED arrow pointing downward, it means that the guest user is disabled. Using sys.sysusers Here is a simple script. If you notice column dbaccess as 1, it means that the guest user is enabled and has access to the database. SELECT name, hasdbaccess FROM sys.sysusers WHERE name = 'guest' Using sys.database_principals and sys.server_permissions This script is valid in SQL Server 2005 and a later version. This is my default method recently. SELECT name, permission_name, state_desc FROM sys.database_principals dp INNER JOIN sys.server_permissions sp ON dp.principal_id = sp.grantee_principal_id WHERE name = 'guest' AND permission_name = 'CONNECT' Using sp_helprotect Just run the following stored procedure which will give you all the permissions associated with the user. sp_helprotect @username = 'guest' Disable Guest Account REVOKE CONNECT FROM guest Additionally, the guest account cannot be disabled in master and tempdb; it is always enabled. There is a special need for this. Let me ask a question back at you: In which scenario do you think this will be useful to keep the guest, and what will the additional configuration go along with the scenario? Note: Special mention to Imran Mohammed for being always there when users need help. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Security, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • IT Admin for Thrill Seekers

    - by Tony Davis
    A developer suggested to me recently that the life of the DBA was, surely, a dull one. My first reaction was indignation, but quickly followed by the thought that for many people excitement isn't necessarily the most desirable aspect of their job. It's true that some aspects of the DBA role seem guaranteed to quieten the pulse; in the days of tape backups, time must have slowed to eternity for the person whose job it was to oversee this process, placing tapes into secure containers, ensuring correct labeling, and.sorry, I drifted off there for a second. On the other hand, if you follow the adventures of the likes of Brent Ozar or Tom LaRock, you'd be forgiven for thinking that much of a database guy's time is spent, metaphorically, diving through plate glass windows in tight fitting underwear in order to extract grateful occupants from burning database applications. Alas it isn't true of the majority, but it isn't as dull as some people imagine, and is a helter-skelter ride compared with some other IT roles. Every IT department has people who toil away in shadowy corners doing quiet but mysterious tasks. When you ask them to explain what they do, you almost immediately want them to stop, but you hear enough to appreciate that these tasks are often absolutely vital to the smooth functioning of an IT organization. Compared with them, the DBAs are prima donnas. Here are a few nominations: Installation engineer - install all of the company's laptops and workstations, and software, deal with licensing, shipping and data entry.many organizations, especially those subject to tight regulation, would simply grind to a halt without their efforts. Localization engineer - Not quite software engineering, not quite translation, the job is to rebuild a product in a different language and make sure everything still works. QA Tester - firstly, I should say that the testers at Red Gate seem to me some of the most-fulfilled in the company. I refer here to the QA Tester whose job is more-or-less entirely to read a script, click some buttons and make sure the actual and expected values match. Configuration manager - for example, someone whose main job is to configure build environments so that devs can access their source code; assuredly necessary for the smooth functioning and productivity of the team, and hopefully well-paid. So what other sort of job in IT should one choose if the work of a DBA proves to be too exciting? Or are these roles secretly more exciting than many imagine? I invite you all to put forward your own suggestions. Cheers, Tony.

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  • Today's Links (6/20/2011)

    - by Bob Rhubart
    Why your security sucks | Eric Knorr A conversation with InfoWorld security expert Roger Grimes reveals why the latest burst of attacks is just business as usual. JDev 11g R2 - ADF BC Dependency Diagram Feature | Andrejus Baranovskis Oracle ACE Director Andrejus Baranovkis continues his exploration of JDeveloper 11g R2. Mobile Apps Put the Web in Their Rear-view Mirror | Charles Newark-French "Our analysis shows that, for the first time ever, daily time spent in mobile apps surpasses desktop and mobile web consumption," says Newark-French. "This stat is even more remarkable if you consider that it took less than three years for native mobile apps to achieve this level of usage, driven primarily by the popularity of iOS and Android platforms." Vivek Kundra, a public servant who gets stuff done | Craig Newmark Craigslist founder Craig Newmark bids farewell to the nation's first CIO. Weblogic, QBrowser and topics | Eric Elzinga Elzinga says: "Besides using the Weblogic Console to add subscribers to our topics we can also use QBrowser to browse queues and topics on your Weblogic Server." Java EE talks at JAX Conf | Arun Gupta Arun Gupta shares links to several Java EE presentations taking place at this week's Jax Conference in San Jose, CA. Development gotchas and silver bullets | Andy Mulholland Mulholland explains why "Software development has to change to fit with new business practices!" Oracle is Proud Sponsor of Gartner Security and Risk Management Summit 2011 | Troy Kitch Oracle will have a very strong presence at this year’s Gartner Security and Risk Management Summit 2011 in Washington D.C., June 20-23. Database Web Service using Toplink DB Provider | Vishal Jain "With JDeveloper 11gR2 you can now create database based web services using JAX-WS Provider," says Jain. Sample Chapter: A Fusion Applications Technical Overview An excerpt from "Managing Oracle Fusion Applications" by Richard Bingham, published by Oracle Press, May 2011. White Paper: Oracle Optimized Solution for Enterprise Cloud Infrastructure This paper provides recommendations and best practices for optimizing virtualization infrastructures when deploying the Oracle Enterprise Cloud Infrastructure. White paper: Oracle Optimized Solution for Lifecycle Content Management Authors Donna Harland and Nick Klosk illustrate how Oracle Enterprise Content Management Suite and Oracle’s Sun Storage Archive Manager work Oracle’s Sun hardware. Bay Area Coherence Special Interest Group Date: Thursday, July 21, 2011 Time: 4:30pm - 8:15pm ET - Note that Parking at 475 Sansome Closes at 8:30pm Location: Oracle Office,475 Sansome Street, San Francisco, CA Google Map Speakers: Chris Akker, Solutions Engineer, F5 Paul Cleary, Application Architect, Oracle Alexey Ragozin, Independent Consultant Brian Oliver, Oracle

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  • July, the 31 Days of SQL Server DMO’s – Day 29 (sys.dm_os_buffer_descriptors)

    - by Tamarick Hill
    The sys.dm_os_buffer_descriptors Dynamic Management View gives you a look into the data pages that are currently in your SQL Server buffer pool. Just in case you are not familiar with some of the internals to SQL Server and how the engine works, SQL Server only works with objects that are in memory (buffer pool). When an object such as a table needs to be read and it does not exist in the buffer pool, SQL Server will read (copy) the necessary data page(s) from disk into the buffer pool and cache it. Caching takes place so that it can be reused again and prevents the need of expensive physical reads. To better illustrate this DMV, lets query it against our AdventureWorks2012 database and view the result set. SELECT * FROM sys.dm_os_buffer_descriptors WHERE database_id = db_id('AdventureWorks2012') The first column returned from this result set is the database_id column which identifies the specific database for a given row. The file_id column represents the file that a particular buffer descriptor belongs to. The page_id column represents the ID for the data page within the buffer. The page_level column represents the index level of the data page. Next we have the allocation_unit_id column which identifies a unique allocation unit. An allocation unit is basically a set of data pages. The page_type column tells us exactly what type of page is in the buffer pool. From my screen shot above you see I have 3 distinct type of Pages in my buffer pool, Index, Data, and IAM pages. Index pages are pages that are used to build the Root and Intermediate levels of a B-Tree. A Data page would represent the actual leaf pages of a clustered index which contain the actual data for the table. Without getting into too much detail, an IAM page is Index Allocation Map page which track GAM (Global Allocation Map) pages which in turn track extents on your system. The row_count column details how many data rows are present on a given page. The free_space_in_bytes tells you how much of a given data page is still available, remember pages are 8K in size. The is_modified signifies whether or not a page has been changed since it has been read into memory, .ie a dirty page. The numa_node column represents the Nonuniform memory access node for the buffer. Lastly is the read_microsec column which tells you how many microseconds it took for a data page to be read (copied) into the buffer pool. This is a great DMV for use when you are tracking down a memory issue or if you just want to have a look at what type of pages are currently in your buffer pool. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms173442.aspx Follow me on Twitter @PrimeTimeDBA

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  • Meredith Ryan: DBA of the Day

    Meredith Ryan – DBA at the Bell Group –was elected by judges and the SQL Server community as the Exceptional DBA of 2012. So who is Meredith, and how did she become a DBA? What makes her exceptional at her work? Simple-Talk sent Richard Morris to investigate. 12 essential tools for database professionalsThe SQL Developer Bundle contains 12 tools designed with the SQL Server developer and DBA in mind. Try it now.

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  • New Feature in ODI 11.1.1.6: ODI for Big Data

    - by Julien Testut
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} By Ananth Tirupattur Starting with Oracle Data Integrator 11.1.1.6.0, ODI is offering a solution to process Big Data. This post provides an overview of this feature. With all the buzz around Big Data and before getting into the details of ODI for Big Data, I will provide a brief introduction to Big Data and Oracle Solution for Big Data. So, what is Big Data? Big data includes: structured data (this includes data from relation data stores, xml data stores), semi-structured data (this includes data from weblogs) unstructured data (this includes data from text blob, images) Traditionally, business decisions are based on the information gathered from transactional data. For example, transactional Data from CRM applications is fed to a decision system for analysis and decision making. Products such as ODI play a key role in enabling decision systems. However, with the emergence of massive amounts of semi-structured and unstructured data it is important for decision system to include them in the analysis to achieve better decision making capability. While there is an abundance of opportunities for business for gaining competitive advantages, process of Big Data has challenges. The challenges of processing Big Data include: Volume of data Velocity of data - The high Rate at which data is generated Variety of data In order to address these challenges and convert them into opportunities, we would need an appropriate framework, platform and the right set of tools. Hadoop is an open source framework which is highly scalable, fault tolerant system, for storage and processing large amounts of data. Hadoop provides 2 key services, distributed and reliable storage called Hadoop Distributed File System or HDFS and a framework for parallel data processing called Map-Reduce. Innovations in Hadoop and its related technology continue to rapidly evolve, hence therefore, it is highly recommended to follow information on the web to keep up with latest information. Oracle's vision is to provide a comprehensive solution to address the challenges faced by Big Data. Oracle is providing the necessary Hardware, software and tools for processing Big Data Oracle solution includes: Big Data Appliance Oracle NoSQL Database Cloudera distribution for Hadoop Oracle R Enterprise- R is a statistical package which is very popular among data scientists. ODI solution for Big Data Oracle Loader for Hadoop for loading data from Hadoop to Oracle. Further details can be found here: http://www.oracle.com/us/products/database/big-data-appliance/overview/index.html ODI Solution for Big Data: ODI’s goal is to minimize the need to understand the complexity of Hadoop framework and simplify the adoption of processing Big Data seamlessly in an enterprise. ODI is providing the capabilities for an integrated architecture for processing Big Data. This includes capability to load data in to Hadoop, process data in Hadoop and load data from Hadoop into Oracle. ODI is expanding its support for Big Data by providing the following out of the box Knowledge Modules (KMs). IKM File to Hive (LOAD DATA).Load unstructured data from File (Local file system or HDFS ) into Hive IKM Hive Control AppendTransform and validate structured data on Hive IKM Hive TransformTransform unstructured data on Hive IKM File/Hive to Oracle (OLH)Load processed data in Hive to Oracle RKM HiveReverse engineer Hive tables to generate models Using the Loading KM you can map files (local and HDFS files) to the corresponding Hive tables. For example, you can map weblog files categorized by date into a corresponding partitioned Hive table schema. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Hive control Append KM you can validate and transform data in Hive. In the below example, two source Hive tables are joined and mapped to a target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} The Hive Transform KM facilitates processing of semi-structured data in Hive. In the below example, the data from weblog is processed using a Perl script and mapped to target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Oracle Loader for Hadoop (OLH) KM you can load data from Hive table or HDFS to a corresponding table in Oracle. OLH is available as a standalone product. ODI greatly enhances OLH capability by generating the configuration and mapping files for OLH based on the configuration provided in the interface and KM options. ODI seamlessly invokes OLH when executing the scenario. In the below example, a HDFS file is mapped to a table in Oracle. Development and Deployment:The following diagram illustrates the development and deployment of ODI solution for Big Data. Using the ODI Studio on your development machine create and develop ODI solution for processing Big Data by connecting to a MySQL DB or Oracle database on a BDA machine or Hadoop cluster. Schedule the ODI scenarios to be executed on the ODI agent deployed on the BDA machine or Hadoop cluster. ODI Solution for Big Data provides several exciting new capabilities to facilitate the adoption of Big Data in an enterprise. You can find more information about the Oracle Big Data connectors on OTN. You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview

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  • SQL SERVER – Faster SQL Server Databases and Applications – Power and Control with SafePeak Caching Options

    - by Pinal Dave
    Update: This blog post is written based on the SafePeak, which is available for free download. Today, I’d like to examine more closely one of my preferred technologies for accelerating SQL Server databases, SafePeak. Safepeak’s software provides a variety of advanced data caching options, techniques and tools to accelerate the performance and scalability of SQL Server databases and applications. I’d like to look more closely at some of these options, as some of these capabilities could help you address lagging database and performance on your systems. To better understand the available options, it is best to start by understanding the difference between the usual “Basic Caching” vs. SafePeak’s “Dynamic Caching”. Basic Caching Basic Caching (or the stale and static cache) is an ability to put the results from a query into cache for a certain period of time. It is based on TTL, or Time-to-live, and is designed to stay in cache no matter what happens to the data. For example, although the actual data can be modified due to DML commands (update/insert/delete), the cache will still hold the same obsolete query data. Meaning that with the Basic Caching is really static / stale cache.  As you can tell, this approach has its limitations. Dynamic Caching Dynamic Caching (or the non-stale cache) is an ability to put the results from a query into cache while maintaining the cache transaction awareness looking for possible data modifications. The modifications can come as a result of: DML commands (update/insert/delete), indirect modifications due to triggers on other tables, executions of stored procedures with internal DML commands complex cases of stored procedures with multiple levels of internal stored procedures logic. When data modification commands arrive, the caching system identifies the related cache items and evicts them from cache immediately. In the dynamic caching option the TTL setting still exists, although its importance is reduced, since the main factor for cache invalidation (or cache eviction) become the actual data updates commands. Now that we have a basic understanding of the differences between “basic” and “dynamic” caching, let’s dive in deeper. SafePeak: A comprehensive and versatile caching platform SafePeak comes with a wide range of caching options. Some of SafePeak’s caching options are automated, while others require manual configuration. Together they provide a complete solution for IT and Data managers to reach excellent performance acceleration and application scalability for  a wide range of business cases and applications. Automated caching of SQL Queries: Fully/semi-automated caching of all “read” SQL queries, containing any types of data, including Blobs, XMLs, Texts as well as all other standard data types. SafePeak automatically analyzes the incoming queries, categorizes them into SQL Patterns, identifying directly and indirectly accessed tables, views, functions and stored procedures; Automated caching of Stored Procedures: Fully or semi-automated caching of all read” stored procedures, including procedures with complex sub-procedure logic as well as procedures with complex dynamic SQL code. All procedures are analyzed in advance by SafePeak’s  Metadata-Learning process, their SQL schemas are parsed – resulting with a full understanding of the underlying code, objects dependencies (tables, views, functions, sub-procedures) enabling automated or semi-automated (manually review and activate by a mouse-click) cache activation, with full understanding of the transaction logic for cache real-time invalidation; Transaction aware cache: Automated cache awareness for SQL transactions (SQL and in-procs); Dynamic SQL Caching: Procedures with dynamic SQL are pre-parsed, enabling easy cache configuration, eliminating SQL Server load for parsing time and delivering high response time value even in most complicated use-cases; Fully Automated Caching: SQL Patterns (including SQL queries and stored procedures) that are categorized by SafePeak as “read and deterministic” are automatically activated for caching; Semi-Automated Caching: SQL Patterns categorized as “Read and Non deterministic” are patterns of SQL queries and stored procedures that contain reference to non-deterministic functions, like getdate(). Such SQL Patterns are reviewed by the SafePeak administrator and in usually most of them are activated manually for caching (point and click activation); Fully Dynamic Caching: Automated detection of all dependent tables in each SQL Pattern, with automated real-time eviction of the relevant cache items in the event of “write” commands (a DML or a stored procedure) to one of relevant tables. A default setting; Semi Dynamic Caching: A manual cache configuration option enabling reducing the sensitivity of specific SQL Patterns to “write” commands to certain tables/views. An optimization technique relevant for cases when the query data is either known to be static (like archive order details), or when the application sensitivity to fresh data is not critical and can be stale for short period of time (gaining better performance and reduced load); Scheduled Cache Eviction: A manual cache configuration option enabling scheduling SQL Pattern cache eviction based on certain time(s) during a day. A very useful optimization technique when (for example) certain SQL Patterns can be cached but are time sensitive. Example: “select customers that today is their birthday”, an SQL with getdate() function, which can and should be cached, but the data stays relevant only until 00:00 (midnight); Parsing Exceptions Management: Stored procedures that were not fully parsed by SafePeak (due to too complex dynamic SQL or unfamiliar syntax), are signed as “Dynamic Objects” with highest transaction safety settings (such as: Full global cache eviction, DDL Check = lock cache and check for schema changes, and more). The SafePeak solution points the user to the Dynamic Objects that are important for cache effectiveness, provides easy configuration interface, allowing you to improve cache hits and reduce cache global evictions. Usually this is the first configuration in a deployment; Overriding Settings of Stored Procedures: Override the settings of stored procedures (or other object types) for cache optimization. For example, in case a stored procedure SP1 has an “insert” into table T1, it will not be allowed to be cached. However, it is possible that T1 is just a “logging or instrumentation” table left by developers. By overriding the settings a user can allow caching of the problematic stored procedure; Advanced Cache Warm-Up: Creating an XML-based list of queries and stored procedure (with lists of parameters) for periodically automated pre-fetching and caching. An advanced tool allowing you to handle more rare but very performance sensitive queries pre-fetch them into cache allowing high performance for users’ data access; Configuration Driven by Deep SQL Analytics: All SQL queries are continuously logged and analyzed, providing users with deep SQL Analytics and Performance Monitoring. Reduce troubleshooting from days to minutes with database objects and SQL Patterns heat-map. The performance driven configuration helps you to focus on the most important settings that bring you the highest performance gains. Use of SafePeak SQL Analytics allows continuous performance monitoring and analysis, easy identification of bottlenecks of both real-time and historical data; Cloud Ready: Available for instant deployment on Amazon Web Services (AWS). As you can see, there are many options to configure SafePeak’s SQL Server database and application acceleration caching technology to best fit a lot of situations. If you’re not familiar with their technology, they offer free-trial software you can download that comes with a free “help session” to help get you started. You can access the free trial here. Also, SafePeak is available to use on Amazon Cloud. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Don’t Miss The Top Exastack ISV Headlines – Week Of June 5

    - by Roxana Babiciu
    Smartsoft's OCEAN Payment Processing Solution achieves Oracle Exadata Optimized status. "Performance is the most important issue for our success in the market and running OCEAN on the Oracle Exadata Database Machine provides customers with extreme performance.” – Learn more Banking solution FORBIS Ltd’s FORPOST achieves Oracle Exadata, Exalogic and SuperCluster Ready Status. “We are glad to offer our current and future customers the newest features provided by Oracle Engineered Systems to achieve maximum reliability and speed operation.” – Learn more

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  • Oracle E-Business Suite Technology Stack in Review

    Cliff chats with Lisa Parekh, Vice President of Applications Technology Integration, about how Oracle E-Business Suite leverages Oracle technologies today, how to better use Oracle Application Server 10g and how to manage the technology stack supporting the E-Business Suite. In addition, Lisa comments discusses with Cliff the benefits brought to E-Business Suite by Oracle's database and how customers are taking advantage of the new ability to extend the E-Business Suite.

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  • ASP.Net MVC - how to post values to the server that are not in an input element

    - by David Carter
    Problem As was mentioned in a previous blog I am building a web page that allows the user to select dates in a calendar and then shows the dates in an unordered list. The problem now is that those dates need to be sent to the server on page submit so that they can be saved to the database. If I was storing the dates in an input element, say a textbox, that wouldn't be an issue but because they are in an html element whose contents are not posted to the server an alternative strategy needs to be developed. Solution The approach that I took to solve this problem is as follows: 1. Place a hidden input field on the form <input id="hiddenDates" name="hiddenDates" type="hidden" value="" /> ASP.Net MVC has an Html helper with a method called Hidden() that will do this for you @Html.Hidden("hiddenDates"). 2. Copy the values from the html element to the hidden input field before submitting the form The following javascript is added to the page:        $(function () {          $('#formCreate').submit(function () {               PopulateHiddenDates();          });        });            function PopulateHiddenDates() {          var dateValues = '';          $($('#dateList').children('li')).each(function(index) {             dateValues += $(this).attr("id") + ",";          });          $('#hiddenDates').val(dateValues);        } I'm using jQuery to bind to the form submit event so that my method to populate the hidden field gets called before the form is submitted. The dateList element is an unordered list and by using the jQuery each function I can itterate through all the <li> items that it contains, get each items id attribute (to which I have assigned the value of the date in millisecs) and write them to the hidden field as a comma delimited string. 3. Process the dates on the server        [HttpPost]         public ActionResult Create(string hiddenDates, string utcOffset)         {            List<DateTime> dates = GetDates(hiddenDates, utcOffset);         }         private List<DateTime> GetDates(string hiddenDates, int utcOffset)         {             List<DateTime> dates = new List<DateTime>();             var values = hiddenDates.Split(",".ToCharArray(),StringSplitOptions.RemoveEmptyEntries);             foreach (var item in values)             {                 DateTime newDate = new DateTime(1970, 1, 1).AddMilliseconds(double.Parse(item)).AddMinutes(utcOffset*-1);                 dates.Add(newDate);                }             return dates;         } By declaring a parameter with the same name as the hidden field ASP.Net will take care of finding the corresponding entry in the form collection posted back to the server and binding it to the hiddenDates parameter! Excellent! I now have my dates the user selected and I can save them to the database. I have also used the same technique to pass back a utcOffset so that I know what timezone the user is in and I can show the dates correctly to users in other timezones if necessary (this isn't strictly necessary at the moment but I plan to introduce times later), Saving multiple dates from an unordered list - DONE!

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  • JMS Step 5 - How to Create an 11g BPEL Process Which Reads a Message Based on an XML Schema from a JMS Queue

    - by John-Brown.Evans
    JMS Step 5 - How to Create an 11g BPEL Process Which Reads a Message Based on an XML Schema from a JMS Queue .jblist{list-style-type:disc;margin:0;padding:0;padding-left:0pt;margin-left:36pt} ol{margin:0;padding:0} .c12_5{vertical-align:top;width:468pt;border-style:solid;background-color:#f3f3f3;border-color:#000000;border-width:1pt;padding:5pt 5pt 5pt 5pt} .c8_5{vertical-align:top;border-style:solid;border-color:#000000;border-width:1pt;padding:5pt 5pt 0pt 5pt} .c10_5{vertical-align:top;width:207pt;border-style:solid;border-color:#000000;border-width:1pt;padding:5pt 5pt 5pt 5pt} .c14_5{vertical-align:top;border-style:solid;border-color:#000000;border-width:1pt;padding:0pt 5pt 0pt 5pt} .c21_5{background-color:#ffffff} .c18_5{color:#1155cc;text-decoration:underline} .c16_5{color:#666666;font-size:12pt} .c5_5{background-color:#f3f3f3;font-weight:bold} .c19_5{color:inherit;text-decoration:inherit} .c3_5{height:11pt;text-align:center} .c11_5{font-weight:bold} .c20_5{background-color:#00ff00} .c6_5{font-style:italic} .c4_5{height:11pt} .c17_5{background-color:#ffff00} .c0_5{direction:ltr} .c7_5{font-family:"Courier New"} .c2_5{border-collapse:collapse} .c1_5{line-height:1.0} .c13_5{background-color:#f3f3f3} .c15_5{height:0pt} .c9_5{text-align:center} .title{padding-top:24pt;line-height:1.15;text-align:left;color:#000000;font-size:36pt;font-family:"Arial";font-weight:bold;padding-bottom:6pt} .subtitle{padding-top:18pt;line-height:1.15;text-align:left;color:#666666;font-style:italic;font-size:24pt;font-family:"Georgia";padding-bottom:4pt} li{color:#000000;font-size:10pt;font-family:"Arial"} p{color:#000000;font-size:10pt;margin:0;font-family:"Arial"} h1{padding-top:0pt;line-height:1.15;text-align:left;color:#888;font-size:24pt;font-family:"Arial";font-weight:normal} h2{padding-top:0pt;line-height:1.15;text-align:left;color:#888;font-size:18pt;font-family:"Arial";font-weight:normal} h3{padding-top:0pt;line-height:1.15;text-align:left;color:#888;font-size:14pt;font-family:"Arial";font-weight:normal} h4{padding-top:0pt;line-height:1.15;text-align:left;color:#888;font-size:12pt;font-family:"Arial";font-weight:normal} h5{padding-top:0pt;line-height:1.15;text-align:left;color:#888;font-size:11pt;font-family:"Arial";font-weight:normal} h6{padding-top:0pt;line-height:1.15;text-align:left;color:#888;font-size:10pt;font-family:"Arial";font-weight:normal} Welcome to another post in the series of blogs which demonstrates how to use JMS queues in a SOA context. The previous posts were: JMS Step 1 - How to Create a Simple JMS Queue in Weblogic Server 11g JMS Step 2 - Using the QueueSend.java Sample Program to Send a Message to a JMS Queue JMS Step 3 - Using the QueueReceive.java Sample Program to Read a Message from a JMS Queue JMS Step 4 - How to Create an 11g BPEL Process Which Writes a Message Based on an XML Schema to a JMS Queue Today we will create a BPEL process which will read (dequeue) the message from the JMS queue, which we enqueued in the last example. The JMS adapter will dequeue the full XML payload from the queue. 1. Recap and Prerequisites In the previous examples, we created a JMS Queue, a Connection Factory and a Connection Pool in the WebLogic Server Console. Then we designed and deployed a BPEL composite, which took a simple XML payload and enqueued it to the JMS queue. In this example, we will read that same message from the queue, using a JMS adapter and a BPEL process. As many of the configuration steps required to read from that queue were done in the previous samples, this one will concentrate on the new steps. A summary of the required objects is listed below. To find out how to create them please see the previous samples. They also include instructions on how to verify the objects are set up correctly. WebLogic Server Objects Object Name Type JNDI Name TestConnectionFactory Connection Factory jms/TestConnectionFactory TestJMSQueue JMS Queue jms/TestJMSQueue eis/wls/TestQueue Connection Pool eis/wls/TestQueue Schema XSD File The following XSD file is used for the message format. It was created in the previous example and will be copied to the new process. stringPayload.xsd <?xml version="1.0" encoding="windows-1252" ?> <xsd:schema xmlns:xsd="http://www.w3.org/2001/XMLSchema"                 xmlns="http://www.example.org"                 targetNamespace="http://www.example.org"                 elementFormDefault="qualified">   <xsd:element name="exampleElement" type="xsd:string">   </xsd:element> </xsd:schema> JMS Message After executing the previous samples, the following XML message should be in the JMS queue located at jms/TestJMSQueue: <?xml version="1.0" encoding="UTF-8" ?><exampleElement xmlns="http://www.example.org">Test Message</exampleElement> JDeveloper Connection You will need a valid Application Server Connection in JDeveloper pointing to the SOA server which the process will be deployed to. 2. Create a BPEL Composite with a JMS Adapter Partner Link In the previous example, we created a composite in JDeveloper called JmsAdapterWriteSchema. In this one, we will create a new composite called JmsAdapterReadSchema. There are probably many ways of incorporating a JMS adapter into a SOA composite for incoming messages. One way is design the process in such a way that the adapter polls for new messages and when it dequeues one, initiates a SOA or BPEL instance. This is possibly the most common use case. Other use cases include mid-flow adapters, which are activated from within the BPEL process. In this example we will use a polling adapter, because it is the most simple to set up and demonstrate. But it has one disadvantage as a demonstrative model. When a polling adapter is active, it will dequeue all messages as soon as they reach the queue. This makes it difficult to monitor messages we are writing to the queue, because they will disappear from the queue as soon as they have been enqueued. To work around this, we will shut down the composite after deploying it and restart it as required. (Another solution for this would be to pause the consumption for the queue and resume consumption again if needed. This can be done in the WLS console JMS-Modules -> queue -> Control -> Consumption -> Pause/Resume.) We will model the composite as a one-way incoming process. Usually, a BPEL process will do something useful with the message after receiving it, such as passing it to a database or file adapter, a human workflow or external web service. But we only want to demonstrate how to dequeue a JMS message using BPEL and a JMS adapter, so we won’t complicate the design with further activities. However, we do want to be able to verify that we have read the message correctly, so the BPEL process will include a small piece of embedded java code, which will print the message to standard output, so we can view it in the SOA server’s log file. Alternatively, you can view the instance in the Enterprise Manager and verify the message. The following steps are all executed in JDeveloper. Create the project in the same JDeveloper application used for the previous examples or create a new one. Create a SOA Project Create a new project and choose SOA Tier > SOA Project as its type. Name it JmsAdapterReadSchema. When prompted for the composite type, choose Empty Composite. Create a JMS Adapter Partner Link In the composite editor, drag a JMS adapter over from the Component Palette to the left-hand swim lane, under Exposed Services. This will start the JMS Adapter Configuration Wizard. Use the following entries: Service Name: JmsAdapterRead Oracle Enterprise Messaging Service (OEMS): Oracle WebLogic JMS AppServer Connection: Use an application server connection pointing to the WebLogic server on which the JMS queue and connection factory mentioned under Prerequisites above are located. Adapter Interface > Interface: Define from operation and schema (specified later) Operation Type: Consume Message Operation Name: Consume_message Consume Operation Parameters Destination Name: Press the Browse button, select Destination Type: Queues, then press Search. Wait for the list to populate, then select the entry for TestJMSQueue , which is the queue created in a previous example. JNDI Name: The JNDI name to use for the JMS connection. As in the previous example, this is probably the most common source of error. This is the JNDI name of the JMS adapter’s connection pool created in the WebLogic Server and which points to the connection factory. JDeveloper does not verify the value entered here. If you enter a wrong value, the JMS adapter won’t find the queue and you will get an error message at runtime, which is very difficult to trace. In our example, this is the value eis/wls/TestQueue . (See the earlier step on how to create a JMS Adapter Connection Pool in WebLogic Server for details.) Messages/Message SchemaURL: We will use the XSD file created during the previous example, in the JmsAdapterWriteSchema project to define the format for the incoming message payload and, at the same time, demonstrate how to import an existing XSD file into a JDeveloper project. Press the magnifying glass icon to search for schema files. In the Type Chooser, press the Import Schema File button. Select the magnifying glass next to URL to search for schema files. Navigate to the location of the JmsAdapterWriteSchema project > xsd and select the stringPayload.xsd file. Check the “Copy to Project” checkbox, press OK and confirm the following Localize Files popup. Now that the XSD file has been copied to the local project, it can be selected from the project’s schema files. Expand Project Schema Files > stringPayload.xsd and select exampleElement: string . Press Next and Finish, which will complete the JMS Adapter configuration.Save the project. Create a BPEL Component Drag a BPEL Process from the Component Palette (Service Components) to the Components section of the composite designer. Name it JmsAdapterReadSchema and select Template: Define Service Later and press OK. Wire the JMS Adapter to the BPEL Component Now wire the JMS adapter to the BPEL process, by dragging the arrow from the adapter to the BPEL process. A Transaction Properties popup will be displayed. Set the delivery mode to async.persist. This completes the steps at the composite level. 3 . Complete the BPEL Process Design Invoke the BPEL Flow via the JMS Adapter Open the BPEL component by double-clicking it in the design view of the composite.xml, or open it from the project navigator by selecting the JmsAdapterReadSchema.bpel file. This will display the BPEL process in the design view. You should see the JmsAdapterRead partner link in the left-hand swim lane. Drag a Receive activity onto the BPEL flow diagram, then drag a wire (left-hand yellow arrow) from it to the JMS adapter. This will open the Receive activity editor. Auto-generate the variable by pressing the green “+” button and check the “Create Instance” checkbox. This will result in a BPEL instance being created when a new JMS message is received. At this point it would actually be OK to compile and deploy the composite and it would pick up any messages from the JMS queue. In fact, you can do that to test it, if you like. But it is very rudimentary and would not be doing anything useful with the message. Also, you could only verify the actual message payload by looking at the instance’s flow in the Enterprise Manager. There are various other possibilities; we could pass the message to another web service, write it to a file using a file adapter or to a database via a database adapter etc. But these will all introduce unnecessary complications to our sample. So, to keep it simple, we will add a small piece of Java code to the BPEL process which will write the payload to standard output. This will be written to the server’s log file, which will be easy to monitor. Add a Java Embedding Activity First get the full name of the process’s input variable, as this will be needed for the Java code. Go to the Structure pane and expand Variables > Process > Variables. Then expand the input variable, for example, "Receive1_Consume_Message_InputVariable > body > ns2:exampleElement”, and note variable’s name and path, if they are different from this one. Drag a Java Embedding activity from the Component Palette (Oracle Extensions) to the BPEL flow, after the Receive activity, then open it to edit. Delete the example code and replace it with the following, replacing the variable parts with those in your sample, if necessary.: System.out.println("JmsAdapterReadSchema process picked up a message"); oracle.xml.parser.v2.XMLElement inputPayload =    (oracle.xml.parser.v2.XMLElement)getVariableData(                           "Receive1_Consume_Message_InputVariable",                           "body",                           "/ns2:exampleElement");   String inputString = inputPayload.getFirstChild().getNodeValue(); System.out.println("Input String is " + inputPayload.getFirstChild().getNodeValue()); Tip. If you are not sure of the exact syntax of the input variable, create an Assign activity in the BPEL process and copy the variable to another, temporary one. Then check the syntax created by the BPEL designer. This completes the BPEL process design in JDeveloper. Save, compile and deploy the process to the SOA server. 3. Test the Composite Shut Down the JmsAdapterReadSchema Composite After deploying the JmsAdapterReadSchema composite to the SOA server it is automatically activated. If there are already any messages in the queue, the adapter will begin polling them. To ease the testing process, we will deactivate the process first Log in to the Enterprise Manager (Fusion Middleware Control) and navigate to SOA > soa-infra (soa_server1) > default (or wherever you deployed your composite to) and click on JmsAdapterReadSchema [1.0] . Press the Shut Down button to disable the composite and confirm the following popup. Monitor Messages in the JMS Queue In a separate browser window, log in to the WebLogic Server Console and navigate to Services > Messaging > JMS Modules > TestJMSModule > TestJMSQueue > Monitoring. This is the location of the JMS queue we created in an earlier sample (see the prerequisites section of this sample). Check whether there are any messages already in the queue. If so, you can dequeue them using the QueueReceive Java program created in an earlier sample. This will ensure that the queue is empty and doesn’t contain any messages in the wrong format, which would cause the JmsAdapterReadSchema to fail. Send a Test Message In the Enterprise Manager, navigate to the JmsAdapterWriteSchema created earlier, press Test and send a test message, for example “Message from JmsAdapterWriteSchema”. Confirm that the message was written correctly to the queue by verifying it via the queue monitor in the WLS Console. Monitor the SOA Server’s Output A program deployed on the SOA server will write its standard output to the terminal window in which the server was started, unless this has been redirected to somewhere else, for example to a file. If it has not been redirected, go to the terminal session in which the server was started, otherwise open and monitor the file to which it was redirected. Re-Enable the JmsAdapterReadSchema Composite In the Enterprise Manager, navigate to the JmsAdapterReadSchema composite again and press Start Up to re-enable it. This should cause the JMS adapter to dequeue the test message and the following output should be written to the server’s standard output: JmsAdapterReadSchema process picked up a message. Input String is Message from JmsAdapterWriteSchema Note that you can also monitor the payload received by the process, by navigating to the the JmsAdapterReadSchema’s Instances tab in the Enterprise Manager. Then select the latest instance and view the flow of the BPEL component. The Receive activity will contain and display the dequeued message too. 4 . Troubleshooting This sample demonstrates how to dequeue an XML JMS message using a BPEL process and no additional functionality. For example, it doesn’t contain any error handling. Therefore, any errors in the payload will result in exceptions being written to the log file or standard output. If you get any errors related to the payload, such as Message handle error ... ORABPEL-09500 ... XPath expression failed to execute. An error occurs while processing the XPath expression; the expression is /ns2:exampleElement. ... etc. check that the variable used in the Java embedding part of the process was entered correctly. Possibly follow the tip mentioned in previous section. If this doesn’t help, you can delete the Java embedding part and simply verify the message via the flow diagram in the Enterprise Manager. Or use a different method, such as writing it to a file via a file adapter. This concludes this example. In the next post, we will begin with an AQ JMS example, which uses JMS to write to an Advanced Queue stored in the database. Best regards John-Brown Evans Oracle Technology Proactive Support Delivery

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