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• Take Advantage of Oracle's Ongoing Assurance Effort!

  - by eric.maurice

  Hi, this is Eric Maurice again! A few years ago, I posted a blog entry, which discussed the psychology of patching. The point of this blog entry was that a natural tendency existed for systems and database administrators to be reluctant to apply patches, even security patches, because of the fear of "breaking" the system. Unfortunately, this belief in the principle "if it ain't broke, don't fix it!" creates significant risks for organizations. Running systems without applying the proper security patches can greatly compromise the security posture of the organization because the security controls available in the affected system may be compromised as a result of the existence of the unfixed vulnerabilities. As a result, Oracle continues to strongly recommend that customers apply all security fixes as soon as possible. Most recently, I have had a number of conversations with customers who questioned the need to upgrade their highly stable but otherwise unsupported Oracle systems. These customers wanted to know more about the kind of security risks they were exposed to, by running obsolete versions of Oracle software. As per Oracle Support Policies, Critical Patch Updates are produced for currently supported products. In other words, Critical Patch Updates are not created by Oracle for product versions that are no longer covered under the Premier Support or Extended Support phases of the Lifetime Support Policy. One statement used in each Critical Patch Update Advisory is particularly important: "We recommend that customers upgrade to a supported version of Oracle products in order to obtain patches. Unsupported products, releases and versions are not tested for the presence of vulnerabilities addressed by this Critical Patch Update. However, it is likely that earlier versions of affected releases are also affected by these vulnerabilities." The purpose of this warning is to inform Oracle customers that a number of the vulnerabilities fixed in each Critical Patch Update may affect older versions of a specific product line. In other words, each Critical Patch Update provides a number of fixes for currently supported versions of a given product line (this information is listed for each bug in the Risk Matrices of the Critical Patch Update Advisory), but the unsupported versions in the same product line, while they may be affected by the vulnerabilities, will not receive the fixes, and are therefore vulnerable to attacks. The risk assumed by organizations wishing to remain on unsupported versions is amplified by the behavior of malicious hackers, who typically will attempt to, and sometimes succeed in, reverse-engineering the content of vendors' security fixes. As a result, it is not uncommon for exploits to be published soon after Oracle discloses vulnerabilities with the release of a Critical Patch Update or Security Alert. Let's consider now the nature of the vulnerabilities that may exist in obsolete versions of Oracle software. A number of severe vulnerabilities have been fixed by Oracle over the years. While Oracle does not test unsupported products, releases and versions for the presence of vulnerabilities addressed by each Critical Patch Update, it should be assumed that a number of the vulnerabilities fixed with the Critical Patch Update program do exist in unsupported versions (regardless of the product considered). The most severe vulnerabilities fixed in past Critical Patch Updates may result in full compromise of the targeted systems, down to the OS level, by remote and unauthenticated users (these vulnerabilities receive a CVSS Base Score of 10.0) or almost as critically, may result in the compromise of the affected systems (without compromising the underlying OS) by a remote and unauthenticated users (these vulnerabilities receive a CVSS Base Score of 7.5). Such vulnerabilities may result in complete takeover of the targeted machine (for the CVSS 10.0), or may result in allowing the attacker the ability to create a denial of service against the affected system or even hijacking or stealing all the data hosted by the compromised system (for the CVSS 7.5). The bottom line is that organizations should assume the worst case: that the most critical vulnerabilities are present in their unsupported version; therefore, it is Oracle's recommendation that all organizations move to supported systems and apply security patches in a timely fashion. Organizations that currently run supported versions but may be late in their security patch release level can quickly catch up because most Critical Patch Updates are cumulative. With a few exceptions noted in Oracle's Critical Patch Update Advisory, the application of the most recent Critical Patch Update will bring these products to current security patch level and provide the organization with the best possible security posture for their patch level. Furthermore, organizations are encouraged to upgrade to most recent versions as this will greatly improve their security posture. At Oracle, our security fixing policies state that security fixes are produced for the main code line first, and as a result, our products benefit from the mistakes made in previous version(s). Our ongoing assurance effort ensures that we work diligently to fix the vulnerabilities we find, and aim at constantly improving the security posture our products provide by default. Patch sets include numerous in-depth fixes in addition to those delivered through the Critical Patch Update and, in certain instances, important security fixes require major architectural changes that can only be included in new product releases (and cannot be backported through the Critical Patch Update program). For More Information: • Mary Ann Davidson is giving a webcast interview on Oracle Software Security Assurance on February 24th. The registration link for attending this webcast is located at http://event.on24.com/r.htm?e=280304&s=1&k=6A7152F62313CA09F77EBCEEA9B6294F&partnerref=EricMblog • A blog entry discussing Oracle's practices for ensuring the quality of Critical patch Updates can be found at http://blogs.oracle.com/security/2009/07/ensuring_critical_patch_update_quality.html • The blog entry "To patch or not to patch" is located at http://blogs.oracle.com/security/2008/01/to_patch_or_not_to_patch.html • Oracle's Support Policies are located at http://www.oracle.com/us/support/policies/index.html • The Critical Patch Update & Security Alert page is located at http://www.oracle.com/technetwork/topics/security/alerts-086861.html

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• Extending Database-as-a-Service to Provision Databases with Application Data

  - by Nilesh A

  Oracle Enterprise Manager 12c Database as a Service (DBaaS) empowers Self Service/SSA Users to rapidly spawn databases on demand in cloud. The configuration and structure of provisioned databases depends on respective service template selected by Self Service user while requesting for database. In EM12c, the DBaaS Self Service/SSA Administrator has the option of hosting various service templates in service catalog and based on underlying DBCA templates.Many times provisioned databases require production scale data either for UAT, testing or development purpose and managing DBCA templates with data can be unwieldy. So, we need to populate the database using post deployment script option and without any additional work for the SSA Users. The SSA Administrator can automate this task in few easy steps. For details on how to setup DBaaS Self Service Portal refer to the DBaaS CookbookIn this article, I will list steps required to enable EM 12c DBaaS to provision databases with application data in two distinct ways using: 1) Data pump 2) Transportable tablespaces (TTS). The steps listed below are just examples of how to extend EM 12c DBaaS and you can even have your own method plugged in part of post deployment script option. Using Data Pump to populate databases These are the steps to be followed to implement extending DBaaS using Data Pump methodolgy: Production DBA should run data pump export on the production database and make the dump file available to all the servers participating in the database zone [sample shown in Fig.1] -- Full exportexpdp FULL=y DUMPFILE=data_pump_dir:dpfull1%U.dmp, data_pump_dir:dpfull2%U.dmp PARALLEL=4 LOGFILE=data_pump_dir:dpexpfull.log JOB_NAME=dpexpfull Figure-1:  Full export of database using data pump Create a post deployment SQL script [sample shown in Fig. 2] and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned Normal 0 -- Full importdeclare    h1   NUMBER;begin-- Creating the directory object where source database dump is backed up.    execute immediate 'create directory DEST_LOC as''/scratch/nagrawal/OracleHomes/oradata/INITCHNG/datafile''';-- Running import    h1 := dbms_datapump.open (operation => 'IMPORT', job_mode => 'FULL', job_name => 'DB_IMPORT10');    dbms_datapump.set_parallel(handle => h1, degree => 1);    dbms_datapump.add_file(handle => h1, filename => 'IMP_GRIDDB_FULL.LOG', directory => 'DATA_PUMP_DIR', filetype => 3);    dbms_datapump.add_file(handle => h1, filename => 'EXP_GRIDDB_FULL_%U.DMP', directory => 'DEST_LOC', filetype => 1);    dbms_datapump.start_job(handle => h1);    dbms_datapump.detach(handle => h1);end;/ Figure-2: Importing using data pump pl/sql procedures Using DBCA, create a template for the production database – include all the init.ora parameters, tablespaces, datafiles & their sizes SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In “Additional Configuration Options” step of Customize “Create Database Deployment Procedure” flow, provide the name of the SQL script in the Custom Script section and lock the input (shown in Fig. 3). Continue saving the deployment procedure. Figure-3: Using Custom script option for calling Import SQL Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also  populate the data using the post deployment step. Using Transportable tablespaces to populate databases Copy of all user/application tablespaces will enable this method of populating databases. These are the required steps to extend DBaaS using transportable tablespaces: Production DBA needs to create a backup of tablespaces. Datafiles may need conversion [such as from Big Endian to Little Endian or vice versa] based on the platform of production and destination where DBaaS created the test database. Here is sample backup script shows how to find out if any conversion is required, describes the steps required to convert datafiles and backup tablespace. SSA Administrator should copy the database (tablespaces) backup datafiles and export dumps to the backup location accessible from the hosts participating in the database zone(s). Create a post deployment SQL script and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned. Here is sample post deployment SQL script using transportable tablespaces. Using DBCA, create a template for the production database – all the init.ora parameters should be included. NOTE: DO NOT choose to bring tablespace data into this template as they will be created SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In the “Additional Configuration Options” step of the flow, provide the name of the SQL script in the Custom Script section and lock the input. Continue saving the deployment procedure. Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also populate the data using the post deployment step. More Information: Database-as-a-Service on Exadata Cloud Podcast on Database as a Service using Oracle Enterprise Manager 12c Oracle Enterprise Manager 12c Installation and Administration guide, Cloud Administration guide DBaaS Cookbook Screenwatch: Private Database Cloud: Set Up the Cloud Self-Service Portal Screenwatch: Private Database Cloud: Use the Cloud Self-Service Portal Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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• Java EE and GlassFish Server Roadmap Update

  - by John Clingan

  2013 has been a stellar year for both the Java EE and GlassFish Server communities. On June 12, Oracle and its partners announced the release of Java EE 7, which delivers on three major themes – HTML5, developer productivity, and meeting enterprise demands. The online event attracted over 10,000 views in the first two days! During the online event, Oracle also announced the availability of GlassFish Server Open Source Edition 4, the world's first Java EE 7 compatible application server. The primary role of GlassFish Server Open Source Edition has been, and continues to be, driving adoption of the latest release of the Java Platform, Enterprise Edition. Oracle also announced the Java EE 7 SDK, which bundles GlassFish Server Open Source Edition 4, as a Java EE 7 learning aid. Last, Oracle publicly announced the Java EE 7 reference implementation based on GlassFish Server Open Source Edition 4. Java EE is a popular platform, as evidenced by the 20+ Java EE 6 compatible implementations available to choose from. After the launch of Java EE 7 and GlassFish Server Open Source Edition 4, we began planning the Java EE 8 roadmap, which was covered during the JavaOne Strategy Keynote. To summarize, there is a lot of interest in improving on HTML5 support, Cloud, and investigating NoSQL support. We received a lot of great feedback from the community and customers on what they would like to see in Java EE 8. As we approached JavaOne 2013, we started planning the GlassFish Server roadmap. What we announced at JavaOne was that GlassFish Server Open Source Edition 4.1 is scheduled for 2014. Here is an update to that roadmap. GlassFish Server Open Source Edition 4.1 is scheduled for 2014 We are planning updates as needed to GlassFish Server Open Source Edition, which is commercially unsupported As we head towards Java EE 8: The trunk will eventually transition to GlassFish Server Open Source Edition 5 as a Java EE 8 implementation The Java EE 8 Reference Implementation will be derived from GlassFish Server Open Source Edition 5. This replicates what has been done in past Java EE and GlassFish Server releases. Oracle will no longer release future major releases of Oracle GlassFish Server with commercial support – specifically Oracle GlassFish Server 4.x with commercial Java EE 7 support will not be released. Commercial Java EE 7 support will be provided from WebLogic Server. Oracle GlassFish Server will not be releasing a 4.x commercial version Expanding on that last bullet, new and existing Oracle GlassFish Server 2.1.x and 3.1.x commercial customers will continue to be supported according to the Oracle Lifetime Support Policy. Oracle recommends that existing commercial Oracle GlassFish Server customers begin planning to move to Oracle WebLogic Server, which is a natural technical and license migration path forward: Applications developed to Java EE standards can be deployed to both GlassFish Server and Oracle WebLogic Server GlassFish Server and Oracle WebLogic Server have implementation-specific deployment descriptor interoperability (here and here). GlassFish Server 3.x and Oracle WebLogic Server share quite a bit of code, so there are quite a bit of configuration and (extended) feature similarities. Shared code includes JPA, JAX-RS, WebSockets (pre JSR 356 in both cases), CDI, Bean Validation, JAX-WS, JAXB, and WS-AT. Both Oracle GlassFish Server 3.x and Oracle WebLogic Server 12c support Oracle Access Manager, Oracle Coherence, Oracle Directory Server, Oracle Virtual Directory, Oracle Database, Oracle Enterprise Manager and are entitled to support for the underlying Oracle JDK. To summarize, Oracle is committed to the future of Java EE.  Java EE 7 has been released and planning for Java EE 8 has begun. GlassFish Server Open Source Edition continues to be the strategic foundation for Java EE reference implementation going forward. And for developers, updates will be delivered as needed to continue to deliver a great developer experience for GlassFish Server Open Source Edition. We are planning for GlassFish Server Open Source Edition 5 as the foundation for the Java EE 8 reference implementation, as well as bundling GlassFish Server Open Source Edition 5 in a Java EE 8 SDK, which is the most popular distribution of GlassFish. This will allow GlassFish releases to be more focused on the Java EE platform and community-driven requirements. We continue to encourage community contributions, bug reports, participation on the GlassFish forum, etc. Going forward, Oracle WebLogic Server will be the single strategic commercially supported application server from Oracle. Disclaimer: The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract.It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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• Global Perspective: Oracle AppAdvantage Does its Stage Debut in the UK

  - by Tanu Sood

  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-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-family:"Calibri","sans-serif"; mso-ascii- mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi- mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Global Perspective is a monthly series that brings experiences, business needs and real-world use cases from regions across the globe. This month’s feature is a follow-up from last month’s Global Perspective note from a well known ACE Director based in EMEA. My first contribution to this blog was before Oracle Open World and I was quite excited about where this initiative would take me in my understanding of the value of Oracle Fusion Middleware. Rimi Bewtra from the Oracle AppAdvantage team came as promised to the Oracle ACE Director briefings and explained what this initiative was all about and I then asked the directors to take part in the new survey. The story was really well received and then at the SOA advisory board that many of these ACE Directors already take part in there was a further discussion on how this initiative will help customers understand the benefits of adoption. A few days later Rick Beers launched the program at a lunch of invited customer executives which included one from Pella who talked about their projects (a quick recap on that here). I wasn’t able to stay for the whole event but what really interested me was that these executives who understood the technology but where looking for how they could use them to drive their businesses. Lots of ideas were bubbling up in my head about how we can use this in user groups to help our members, and the timing was fantastic as just three weeks later we had UKOUG_Apps13, our flagship Applications conference in the UK. We had independently working with Oracle marketing in the UK on an initiative called Apps Transformation to help our members look beyond just the application they use today. We have had a Fusion community page but felt the options open are now much wider than Fusion Applications, there are acquired applications, social, mobility and of course the underlying technology, Oracle Fusion Middleware. I was really pleased to be allowed to give the Oracle AppAdvantage story as a session in our conference and we are planning a special Apps Transformation event in March where I hope the Oracle AppAdvantage team will take part and we will have the results of the survey to discuss. But, life also came full circle for me. In my first post, I talked about Andrew Sutherland and his original theory that Oracle Fusion Middleware adoption had technical drivers. Well, Andrew was a speaker at our event and he gave a potted, tech-talk free update on Oracle Open World. Andrew talked about the Prevailing Technology Winds, and what is driving this today and he talked about that in the past it was the move from simply automating processes (ERP etc), through the altering of those processes (SOA) and onto consolidation. The next drivers are around the need to predict, both faster and more accurately; how to better exploit the information that we have available. He went on to talk about The Nexus of Forces: Social, Mobile, Cloud and Information – harnessing these forces of change with Oracle technology. Gartner really likes this concept and if you want to know more you can get their paper here. All this has made me think, and I hope it will make you too. Technology can help us drive our businesses better and understanding your needs can be the first step on your journey, which was the theme of our event in the UK. I spoke to a number of the delegates and I hope to share some of their stories in later posts. If you have a story to share, the survey is at: https://www.surveymonkey.com/s/P335DD3 About the Author: Debra Lilley, Fujitsu Fusion Champion, UKOUG Board Member, Fusion User Experience Advocate and ACE Director. Debra has 18 years experience with Oracle Applications, with E Business Suite since 9.4.1, moving to Business Intelligence Team Leader and then Oracle Alliance Director. She has spoken at over 100 conferences worldwide and posts at debrasoraclethoughts Editor’s Note: Debra has kindly agreed to share her musings and experience in a monthly column on the Fusion Middleware blog so do stay tuned…

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• Process Centric Banking: Loan Origination Solution

  - by Manish Palaparthy

  There is an old proverb that goes, "The difference between theory and practice is greater in practice than in theory". So, we keep doing numerous "Proof of Concepts" with our own products on various business cases to analyze them deeply, understand and explain to our customers. We then present our learnings as they happened. The awareness of each PoC should help readers increase the trustworthiness of the results coming out of these PoCs. I present one such PoC where we invested a lot of time&effort.  Process Centric Banking : Loan Origination Solution Loan Origination is a process by which a borrower applies for a new loan and the lender processes that application. Loan origination includes the series of steps taken by the bank from the point the customer shows interest in a loan product all the way to disbursal of funds. The Loan Origination process is relevant for many kind of lenders in Financial services: Banks, Credit Unions, NBFCs(Non Banking Financial Companies) and so on. For simplicity sake, I will use "Bank" as the lending institution in the rest of my article.  Loan Origination is one of the core processes for Banks as it is the process by which the it creates assets against which the Institution earns most of its profits from. A well tuned loan origination process can affect the Bank in many positive ways. Banks have always shown great interest in automating the loan origination process for the above reason. However, due the constant changes in customer environment, market dynamics, prevailing economic conditions, cost pressures & regulatory environment they run into lot of challenges. Let me categorize some of these challenges for you Customer Environment Multiple Channels: Customer can use any of the available channels (Internet Banking, Email, Fax, Branch, Phone Banking, ATM, Broker, Mobile, Snail Mail) to perform all or some of the activities related to her Visibility into the origination process: Expect immediate update on the status of loan processing & alert messages Reduced Turn Around Time: Expect loans to be processed with least turn around time Reduced loan processing fees: Partly due to market dynamics the customer expects the loan processing fee to be negligible Market Dynamics Competitive environment:  The competition keeps creating many variants of loan products to attract customers, the bank needs to create similar product variants with better offers to attract customers or keep existing ones Ability to migrate loans from one vendor to another: It has become really easy for retail customers to move from one bank to the other given the low fee of loan processing and highly attractive offers. How does the bank protect it's customer base while actively engaging with potential customers banking with competitor banks Flexibility to react to market developments: Market development greatly influence loan processing, underwriting, asset valuation, risk mitigation rules. Can the bank modify rules and policies, the idea is not just to react to market developments but to pro-actively manage new developments Economic conditions Constant change in various rates and their implications on the rates and rules applied when on-boarding a loan: How quickly can the bank apply changes to rates offered to customers when the central bank changes various rates Requirements of Audit by the central banker: Tough economic conditions have demanded much more stringent audit rules and tests. The banks needs to produce ready reports(historic & operational) for audit compliance Risk Mitigation: While risk mitigation has always been a key concern for the bank, this is the area where the bank's underwriters & risk analysts spend the maximum time when processing a loan application. In order to reduce TAT the bank cannot compromise on its risk mitigation strategies Cost pressures Reduce Cost of processing per application: To deliver a reduced loan processing fee to the customer, the bank needs to keep its cost per processing loan application low. Meet customer TAT expectations while reducing the queues and the systems being used to process the loan application: The loan application could potentially be spending a lot of time waiting in the queue for further processing. Different volumes & patterns of applications demand different queuing algorithms. The bank needs to have real-time visibility into these queues and have the flexibility to change queuing algorithms at runtime  Increase the use of electronic communication and reduce the branch channel usage: Lesser automation leads not only leads to Increased turn around time, it also impacts more costs to reach out to customers The objective of our PoC was to implement a Loan Origination Solution whose ownership lies with the bank and effectively meet the challenges listed above. We built a simple story board for the solution We then went about implementing our storyboard using Oracle BPM Suite, Webcenter Content : Imaging. The web UI has been built on ADF technolgies, while the integration with core-services has been implemented using the underlying SOA infrastructure. The BPM process model is quite exhaustive can meet all the challenges listed above to reasonable degree. A bank intending to implement an end-to-end Loan Origination Solution has multiple options at it's disposal. It can Develop a customer Loan Origination Application from scratch: Gives maximum opportunity to build what you want but inflexible to upgrade and maintain. Higher TCO in long term Buy a Packaged application & customize it: Customizing a generic loan application can be tedious and prove as difficult as above. Build it using many disparate & un-integrated tools: Initially seems easier than developing from scratch. But, without integrated tool sets this is not a viable approach either or A solution based on a Framework: Independent Services and Business Process Modeling provide decoupled architecture that is flexible. We built this framework end-to-end with processes the core process of loan origination & several sub-processes such as Analyse and define customer needs, customer credit verification, identity check processes, legal review process, New customer registration & risk assessment.

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• Partner Training on Endeca 2-Days Hands-on Fundamentals

  - by Mike.Hallett(at)Oracle-BI&EPM

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• Disaster Recovery Discovery

  - by Rodney Landrum

  Last weekend I joined several of my IT staff on a mission to perform a DR test in our remote CoLo center in a large South East city of the US. Can I be more obtuse? The goal was simple for me as the sole DBA in a throng of Windows, Storage, Network and SAN admins – restore the databases and make them work. There were 4 applications that back ended to 7 SQL Server databases on 4 different SQL Server instances. We would maintain the original server names, but beyond that it was fair game. We had time to prepare so I was able to script out or otherwise automate the recovery process. I used sp_help_revlogin for three of the servers, a bit of a cheat actually because restoring the Master database on the target DR servers was the specified course of action according to the DR procedures ( the caveat “IF REQUIRED” left it open to interpretation. I really wanted to avoid the step of restoring Master for a number of reasons but mainly because I did not want to deal with issues starting SQL Services afterward. Having to account for the location of TempDB and the version conflicts of the resource DBs were just two of the battles I chose not to fight. Not to mention other system database location problems that might arise and prevent SQL from starting.  I was going to have to restore all of the user databases anyway, so I would not really gain any benefit, outside of logins, for taking the time to restore the source Master database over the newly installed one on the fresh server. What I wanted was the ability to restore the Master database as a user database, call it Master_Mine, from a backup on the source system and then use that restored database to script the SQL Logins and passwords on the DR systems. While I did not attempt this on the trip, the thought stuck in my mind and this past week I succeeded at scripting user accounts and passwords using only a restored copy of the Master database. Granted there were several challenges to overcome.  Also, as is usual for any work like this the usual disclaimers apply:  This is not something that I would imagine Microsoft would condone or support and this was really only an experiment for me to learn if it was even possible. While I have tested the process with success, I do not know that I would use this technique in a documented procedure because future updates for SQL Server will render this technique non-functional. I thought at first, incorrectly of course, that I could use sp_help_revlogin on a restored copy of the master database I named Master_Mine.   Since sp_help_revlogin uses system schema objects, sys.syslogins and sys.server_principals, this was not going to work because all results would come from the main Master database. To test this I added a SQL login via SSMS, backed up Master, restored  it as Master_Mine, and then deleted the login.  Even though the test account I created should presumably still be in the Master_Mine database, I should be able to get to it and script out its creation with its password hash so that I would not need to know the password, but any applications that stored that password would not have to be altered in the DR scenario. They would just work as expected. Once I realized that would not work I began looking deeper.  Knowing that sys.syslogins and sys.server_principals are system views, their underlying code should be available with sp_helptext, right? They were. And this led me to discover the two tables sys.sysxlgns and sys.sysprivs, where the data I needed was stored. These tables existed in both the real Master and the restored copy, Master_Mine.  I used this information to tweak the sp_help_revlogin stored procedure to use these tables instead to create the logins cursor used in sp_help_revlogin. For the password hash,  sp_help_revlogin uses the function LoginProperty() which takes a user name and option ‘passwordhash’ to return the hash for the user. Unfortunately, it requires the login to exist in the Master database. This would not work. So another slight modification I had to make was to pull the password hash itself (pwdhash from sys.sysxlgns) into the logins cursor and comment out the section of sp_help_revlogin that uses LoginProperty. Instead, I pass the pwdhash value as the variable @PWD_varbinary to the sp_hexadecimal stored procedure which is also created by and used within the code provided by Microsoft in the link above for sp_help_revlogin. The final challenge: sys.sysxlgns and sys.server_principals are visible only within a Dedicated Administrator Connection (DAC) query window in SSMS or within SQLCDMD.  To open a DAC connection you have to be logged in on the SQL Server itself, via RDP in my case,  and you preface the server name in the query connection with ADMIN:, so that the server connection looks like ADMIN:ServerName. From there you can create the modified stored procedure in the restored copy of a Master database from a source system as whatever name you like, and then run the modified stored procedure. I named my new stored procedure usp_help_revlogin_MyMaster. Upon execution I was happy to see the logins and password hashes that I needed to apply from the source Master database without having to restore over the new Master system database and without the need to access the original server (assuming it was down due to whatever disaster put it in that state). You will note that I am not providing full code samples here of the modifications. I will say that it was a slight bit of work and anyone who needed to do this for whatever reason, could fairly easily roll their own solution with the information provided herein.  My goal, as I said was to prove that this could be done and provide another option if required to ease the burden of getting SQL Servers up and available in an emergency situation where alternatives may be more challenging or otherwise unavailable.  

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• concurrency::index<N> from amp.h

  - by Daniel Moth

  Overview C++ AMP introduces a new template class index<N>, where N can be any value greater than zero, that represents a unique point in N-dimensional space, e.g. if N=2 then an index<2> object represents a point in 2-dimensional space. This class is essentially a coordinate vector of N integers representing a position in space relative to the origin of that space. It is ordered from most-significant to least-significant (so, if the 2-dimensional space is rows and columns, the first component represents the rows). The underlying type is a signed 32-bit integer, and component values can be negative. The rank field returns N. Creating an index The default parameterless constructor returns an index with each dimension set to zero, e.g. index<3> idx; //represents point (0,0,0) An index can also be created from another index through the copy constructor or assignment, e.g. index<3> idx2(idx); //or index<3> idx2 = idx; To create an index representing something other than 0, you call its constructor as per the following 4-dimensional example: int temp[4] = {2,4,-2,0}; index<4> idx(temp); Note that there are convenience constructors (that don’t require an array argument) for creating index objects of rank 1, 2, and 3, since those are the most common dimensions used, e.g. index<1> idx(3); index<2> idx(3, 6); index<3> idx(3, 6, 12); Accessing the component values You can access each component using the familiar subscript operator, e.g. One-dimensional example: index<1> idx(4); int i = idx[0]; // i=4 Two-dimensional example: index<2> idx(4,5); int i = idx[0]; // i=4 int j = idx[1]; // j=5 Three-dimensional example: index<3> idx(4,5,6); int i = idx[0]; // i=4 int j = idx[1]; // j=5 int k = idx[2]; // k=6 Basic operations Once you have your multi-dimensional point represented in the index, you can now treat it as a single entity, including performing common operations between it and an integer (through operator overloading): -- (pre- and post- decrement), ++ (pre- and post- increment), %=, *=, /=, +=, -=,%, *, /, +, -. There are also operator overloads for operations between index objects, i.e. ==, !=, +=, -=, +, –. Here is an example (where no assertions are broken): index<2> idx_a; index<2> idx_b(0, 0); index<2> idx_c(6, 9); _ASSERT(idx_a.rank == 2); _ASSERT(idx_a == idx_b); _ASSERT(idx_a != idx_c); idx_a += 5; idx_a[1] += 3; idx_a++; _ASSERT(idx_a != idx_b); _ASSERT(idx_a == idx_c); idx_b = idx_b + 10; idx_b -= index<2>(4, 1); _ASSERT(idx_a == idx_b); Usage You'll most commonly use index<N> objects to index into data types that we'll cover in future posts (namely array and array_view). Also when we look at the new parallel_for_each function we'll see that an index<N> object is the single parameter to the lambda, representing the (multi-dimensional) thread index… In the next post we'll go beyond being able to represent an N-dimensional point in space, and we'll see how to define the N-dimensional space itself through the extent<N> class. Comments about this post by Daniel Moth welcome at the original blog.

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• PanelGridLayout - A Layout Revolution

  - by Duncan Mills

  With the most recent 11.1.2 patchset (11.1.2.3) there has been a lot of excitement around ADF Essentials (and rightly so), however, in all the fuss I didn't want an even more significant change to get missed - yes you read that correctly, a more significant change! I'm talking about the new panelGridLayout component, I can confidently say that this one of the most revolutionary components that we've introduced in 11g, even though it sounds rather boring. To be totally accurate, panelGrid was introduced in 11.1.2.2 but without any presence in the component palette or other design time support, so it was largely missed unless you read the release notes. However in this latest patchset it's finally front and center. Its time to explore - we (really) need to talk about layout.  Let's face it,with ADF Faces rich client, layout is a rather arcane pursuit, once you are a layout master, all bow before you, but it's more of an art than a science, and it is often, in fact, way too difficult to achieve what should (apparently) be a pretty simple. Here's a great example, it's a homework assignment I set for folks I'm teaching this stuff to:  The requirements for this layout are: The header is 80px high, the footer is 30px. These are both fixed.  The first section of the header containing the logo is 180px wide The logo is centered within the top left hand corner of the header  The title text is start aligned in the center zone of the header and will wrap if the browser window is narrowed. It should be aligned in the center of the vertical space  The about link is anchored to the right hand side of the browser with a 20px gap and again is center aligned vertically. It will move as the browser window is reduced in width. The footer has a right aligned copyright statement, again middle aligned within a 30px high footer region and with a 20px buffer to the right hand edge. It will move as the browser window is reduced in width. All remaining space is given to a central zone, which, in this case contains a panelSplitter. Expect that at some point in time you'll need a separate messages line in the center of the footer.  In the homework assigment I set I also stipulate that no inlineStyles can be used to control alignment or margins and no use of other taglibs (e.g. JSF HTML or Trinidad HTML). So, if we take this purist approach, that basic page layout (in my stock solution) requires 3 panelStretchLayouts, 5 panelGroupLayouts and 4 spacers - not including the spacer I use for the logo and the contents of the central zone splitter - phew! The point is that even a seemingly simple layout needs a bit of thinking about, particulatly when you consider strechting and browser re-size behavior. In fact, this little sample actually teaches you much of what you need to know to become vaguely competant at layouts in the framework. The underlying result of "the way things are" is that most of us reach for panelStretchLayout before even finishing the first sip of coffee as we embark on a new page design. In fact most pages you will see in any moderately complex ADF page will basically be nested panelStretchLayouts and panelGroupLayouts, sometimes many, many levels deep. So this is a problem, we've known this for some time and now we have a good solution. (I should point out that the oft-used Trinidad trh tags are not a particularly good solution as you're tie-ing yourself to an HTML table based layout in that case with a host of attendent issues in resize and bi-di behavior, but I digress.) So, tadaaa, I give to you panelGridLayout. PanelGrid, as the name suggests takes a grid like (dare I say slightly gridbag-like) approach to layout, dividing your layout into rows and colums with margins, sizing, stretch behaviour, colspans and rowspans all rolled in, all without the use of inlineStyle. As such, it provides for a much more powerful and consise way of defining a layout such as the one above that is actually simpler and much more logical to design. The basic building blocks are the panelGridLayout itself, gridRow and gridCell. Your content sits inside the cells inside the rows, all helpfully allowing both streching, valign and halign definitions without the need to nest further panelGroupLayouts. So much simpler!  If I break down the homework example above my nested comglomorate of 12 containers and spacers can be condensed down into a single panelGrid with 3 rows and 5 cell definitions (39 lines of source reduced to 24 in the case of the sample). What's more, the actual runtime representation in the browser DOM is much, much simpler, and clean, with basically one DIV per cell (Note that just because the panelGridLayout semantics looks like an HTML table does not mean that it's rendered that way!) . Another hidden benefit is the runtime cost. Because we can use a single layout to achieve much more complex geometries the client side layout code inside the browser is having to work a lot less. This will be a real benefit if your application needs to run on lower powered clients such as netbooks or tablets. So, it's time, if you're on 11.1.2.2 or above, to smile warmly at your panelStretchLayouts, wrap the blanket around it's knees and wheel it off to the Sunset Retirement Home for a well deserved rest. There's a new kid on the block and it wants to be your friend. 

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• 7-Eleven Improves the Digital Guest Experience With 10-Minute Application Provisioning

  - by MichaelM-Oracle

  By Vishal Mehra - Director, Cloud Computing, Oracle Consulting Making the Cloud Journey Matter There’s much more to cloud computing than cutting costs and closing data centers. In fact, cloud computing is fast becoming the engine for innovation and productivity in the digital age. Oracle Consulting Services contributes to our customers’ cloud journey by accelerating application provisioning and rapidly deploying enterprise solutions. By blending flexibility with standardization, our Middleware as a Service (MWaaS) offering is ensuring the success of many cloud initiatives. 10-Minute Application Provisioning Times at 7-Eleven As a case in point, 7-Eleven recently highlighted the scope, scale, and results of a cloud-powered environment. The world’s largest convenience store chain is rolling out a Digital Guest Experience (DGE) program across 8,500 stores in the U.S. and Canada. Everyday, 7-Eleven connects with tens of millions of customers through point-of-sale terminals, web sites, and mobile apps. Promoting customer loyalty, targeting promotions, downloading digital coupons, and accepting digital payments are all part of the roadmap for a comprehensive and rewarding customer experience. And what about the time required for deploying successive versions of this mission-critical solution? Ron Clanton, 7-Eleven's DGE Program Manager, Information Technology reported at Oracle Open World, " We are now able to provision new environments in less than 10 minutes. This includes the complete SOA Suite on Exalogic, and Enterprise Manager managing both the SOA Suite, Exalogic, and our Exadata databases ." OCS understands the complex nature of innovative solutions and has processes and expertise to help clients like 7-Eleven rapidly develop technology that enhances the customer experience with little more than the click of a button. OCS understood that the 7-Eleven roadmap required careful planning, agile development, and a cloud-capable environment to move fast and perform at enterprise scale. Business Agility Today’s business-savvy technology leaders face competing priorities as they confront the digital disruptions of the mobile revolution and next-generation enterprise applications. To support an innovation agenda, IT is required to balance competing priorities between development and operations groups. Standardization and consolidation of computing resources are the keys to success. With our operational and technical expertise promoting business agility, Oracle Consulting's deep Middleware as a Service experience can make a significant difference to our clients by empowering enterprise IT organizations with the computing environment they seek to keep up with the pace of change that digitally driven business units expect. Depending on the needs of the organization, this environment runs within a private, public, or hybrid cloud infrastructure. Through on-demand access to a shared pool of configurable computing resources, IT delivers the standard tools and methods for developing, integrating, deploying, and scaling next-generation applications. Gold profiles of predefined configurations eliminate the version mismatches among databases, application servers, and SOA suite components, delivered both by Oracle and other enterprise ISVs. These computing resources are well defined in business terms, enabling users to select what they need from a service catalog. Striking the Balance between Development and Operations As a result, development groups have the flexibility to choose among a menu of available services with descriptions of standard business functions, service level guarantees, and costs. Faced with the consumerization of enterprise IT, they can deliver the innovative customer experiences that seamlessly integrate with underlying enterprise applications and services. This cloud-powered development and testing environment accelerates release cycles to ensure agile development and rapid deployments. At the same time, the operations group is relying on certified stacks and frameworks, tuned to predefined environments and patterns. Operators can maintain a high level of security, and continue best practices for applications/systems monitoring and management. Moreover, faced with the challenges of delivering on service level agreements (SLAs) with the business units, operators can ensure performance, scalability, and reliability of the infrastructure. The elasticity of a cloud-computing environment – the ability to rapidly add virtual machines and storage in response to computing demands -- makes a difference for hardware utilization and efficiency. Contending with Continuous Change What does it take to succeed on the promise of the cloud? As the engine for innovation and productivity in the digital age, IT must face not only the technical transformations but also the organizational challenges of the cloud. Standardizing key technologies, resources, and services through cloud computing is only one part of the cloud journey. Managing relationships among multiple department and projects over time – developing the management, governance, and monitoring capabilities within IT – is an often unmentioned but all too important second part. In fact, IT must have the organizational agility to contend with continuous change. This is where a skilled consulting services partner can play a pivotal role as a trusted advisor in the successful adoption of cloud solutions. With a lifecycle services approach to delivering innovative business solutions, Oracle Consulting Services has expertise and a portfolio of services to help enterprise customers succeed on their cloud journeys as well as other converging mega trends .

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• #OOW 2012 : IaaS, Private Cloud, Multitenant Database, and X3H2M2

  - by Eric Bezille

  The title of this post is a summary of the 4 announcements made by Larry Ellison today, during the opening session of Oracle Open World 2012... To know what's behind X3H2M2, you will have to wait a little, as I will go in order, beginning with the IaaS - Infrastructure as a Service - announcement. Oracle IaaS goes Public... and Private... Starting in 2004 with Fusion development, Oracle Cloud was launch last year to provide not only SaaS Application, based on standard development, but also the underlying PaaS, required to build the specifics, and required interconnections between applications, in and outside of the Cloud. Still, to cover the end-to-end Cloud  Services spectrum, we had to provide an Infrastructure as a Service, leveraging our Servers, Storage, OS, and Virtualization Technologies, all "Engineered Together". This Cloud Infrastructure, was already available for our customers to build rapidly their own Private Cloud either on SPARC/Solaris or x86/Linux... The second announcement made today bring that proposition a big step further : for cautious customers (like Banks, or sensible industries) who would like to benefits from the Cloud value of "as a Service", but don't want their Data out in the Cloud... We propose to them to operate the same systems, Exadata, Exalogic & SuperCluster, that are providing our Public Cloud Infrastructure, behind their firewall, in a Private Cloud model. Oracle 12c Multitenant Database This is also a major announcement made today, on what's coming with Oracle Database 12c : the ability to consolidate multiple databases with no extra additional  cost especially in terms of memory needed on the server node, which is often THE consolidation limiting factor. The principle could be compare to Solaris Zones, where, you will have a Database Container, who is "owning" the memory and Database background processes, and "Pluggable" Database in this Database Container. This particular feature is a strong compelling event to evaluate rapidly Oracle Database 12c once it will be available, as this is major step forward into true Database consolidation with Multitenancy on a shared (optimized) infrastructure. X3H2M2, enabling the new Exadata X3 in-Memory Database Here we are :  X3H2M2 stands for X3 (the new version of Exadata announced also today) Heuristic Hierarchical Mass Memory, providing the capability to keep most if not all the Data in the memory cache hierarchy. Of course, this is the major software enhancement of the new X3 Exadata machine, but as this is a software, our current customers would be able to benefit from it on their existing systems by upgrading to the new release. But that' not the only thing that we did with X3, at the same time we have upgraded everything : the CPUs, adding more cores per server node (16 vs. 12, with the arrival of Intel E5 / Sandy Bridge), the memory with 512GB memory as well per node,  and the new Flash Fire card, bringing now up to 22 TB of Flash cache. All of this 4TB of RAM + 22TB of Flash being use cleverly not only for read but also for write by the X3H2M2 algorithm... making a very big difference compare to traditional storage flash extension. But what does those extra performances brings to you on an already very efficient system: double your performances compare to the fastest storage array on the market today (including flash) and divide you storage price x10 at the same time... Something to consider closely this days... Especially that we also announced the availability of a new Exadata X3-2 8th rack : a good starting point. As you have seen a major opening for this year again with true innovation. But that was not the only thing that we saw today, as before Larry's talk, Fujitsu did introduce more in deep the up coming new SPARC processor, that they are co-developing with us. And as such Andrew Mendelsohn - Senior Vice President Database Server Technologies came on stage to explain that the next step after I/O optimization for Database with Exadata, was to accelerate the Database at execution level by bringing functions in the SPARC processor silicium. All in all, to process more and more Data... The big theme of the day... and of the Oracle User Groups Conferences that were also happening today and where I had the opportunity to attend some interesting sessions on practical use cases of Big Data one in Finances and Fraud profiling and the other one on practical deployment of Oracle Exalytics for Data Analytics. In conclusion, one picture to try to size Oracle Open World ... and you can understand why, with such a rich content... and this only the first day !

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• Performance triage

  - by Dave

  Folks often ask me how to approach a suspected performance issue. My personal strategy is informed by the fact that I work on concurrency issues. (When you have a hammer everything looks like a nail, but I'll try to keep this general). A good starting point is to ask yourself if the observed performance matches your expectations. Expectations might be derived from known system performance limits, prototypes, and other software or environments that are comparable to your particular system-under-test. Some simple comparisons and microbenchmarks can be useful at this stage. It's also useful to write some very simple programs to validate some of the reported or expected system limits. Can that disk controller really tolerate and sustain 500 reads per second? To reduce the number of confounding factors it's better to try to answer that question with a very simple targeted program. And finally, nothing beats having familiarity with the technologies that underlying your particular layer. On the topic of confounding factors, as our technology stacks become deeper and less transparent, we often find our own technology working against us in some unexpected way to choke performance rather than simply running into some fundamental system limit. A good example is the warm-up time needed by just-in-time compilers in Java Virtual Machines. I won't delve too far into that particular hole except to say that it's rare to find good benchmarks and methodology for java code. Another example is power management on x86. Power management is great, but it can take a while for the CPUs to throttle up from low(er) frequencies to full throttle. And while I love "turbo" mode, it makes benchmarking applications with multiple threads a chore as you have to remember to turn it off and then back on otherwise short single-threaded runs may look abnormally fast compared to runs with higher thread counts. In general for performance characterization I disable turbo mode and fix the power governor at "performance" state. Another source of complexity is the scheduler, which I've discussed in prior blog entries. Lets say I have a running application and I want to better understand its behavior and performance. We'll presume it's warmed up, is under load, and is an execution mode representative of what we think the norm would be. It should be in steady-state, if a steady-state mode even exists. On Solaris the very first thing I'll do is take a set of "pstack" samples. Pstack briefly stops the process and walks each of the stacks, reporting symbolic information (if available) for each frame. For Java, pstack has been augmented to understand java frames, and even report inlining. A few pstack samples can provide powerful insight into what's actually going on inside the program. You'll be able to see calling patterns, which threads are blocked on what system calls or synchronization constructs, memory allocation, etc. If your code is CPU-bound then you'll get a good sense where the cycles are being spent. (I should caution that normal C/C++ inlining can diffuse an otherwise "hot" method into other methods. This is a rare instance where pstack sampling might not immediately point to the key problem). At this point you'll need to reconcile what you're seeing with pstack and your mental model of what you think the program should be doing. They're often rather different. And generally if there's a key performance issue, you'll spot it with a moderate number of samples. I'll also use OS-level observability tools to lock for the existence of bottlenecks where threads contend for locks; other situations where threads are blocked; and the distribution of threads over the system. On Solaris some good tools are mpstat and too a lesser degree, vmstat. Try running "mpstat -a 5" in one window while the application program runs concurrently. One key measure is the voluntary context switch rate "vctx" or "csw" which reflects threads descheduling themselves. It's also good to look at the user; system; and idle CPU percentages. This can give a broad but useful understanding if your threads are mostly parked or mostly running. For instance if your program makes heavy use of malloc/free, then it might be the case you're contending on the central malloc lock in the default allocator. In that case you'd see malloc calling lock in the stack traces, observe a high csw/vctx rate as threads block for the malloc lock, and your "usr" time would be less than expected. Solaris dtrace is a wonderful and invaluable performance tool as well, but in a sense you have to frame and articulate a meaningful and specific question to get a useful answer, so I tend not to use it for first-order screening of problems. It's also most effective for OS and software-level performance issues as opposed to HW-level issues. For that reason I recommend mpstat & pstack as my the 1st step in performance triage. If some other OS-level issue is evident then it's good to switch to dtrace to drill more deeply into the problem. Only after I've ruled out OS-level issues do I switch to using hardware performance counters to look for architectural impediments.

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• CPU Usage in Very Large Coherence Clusters

  - by jpurdy

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

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• Understanding the 'High Performance' meaning in Extreme Transaction Processing

  - by kyap

  Despite my previous blogs entries on SOA/BPM and Identity Management, the domain where I'm the most passionated is definitely the Extreme Transaction Processing, commonly called XTP.I came across XTP back to 2007 while I was still FMW Product Manager in EMEA. At that time Oracle acquired a company called Tangosol, which owned an unique product called Coherence that we renamed to Oracle Coherence. Beside this innovative renaming of the product, to be honest, I didn't know much about it, except being a "distributed in-memory cache for Extreme Transaction Processing"... not very helpful still.In general when people doesn't fully understand a technology or a concept, they tend to find some shortcuts, either correct or not, to justify their lack-of understanding... and of course I was part of this category of individuals. And the shortcut was "Oracle Coherence Cache helps to improve Performance". Excellent marketing slogan... but not very meaningful still. By chance I was able to get away quickly from that group in July 2007* at Thames Valley Park (UK), after I attended one of the most interesting workshops, in my 10 years career in Oracle, delivered by Brian Oliver. The biggest mistake I made was to assume that performance improvement with Coherence was related to the response time. Which can be considered as legitimus at that time, because after-all caches help to reduce latency on cached data access, hence reduce the response-time. But like all caches, you need to define caching and expiration policies, thinking about the cache-missed strategy, and most of the time you have to re-write partially your application in order to work with the cache. At a result, the expected benefit vanishes... so, not very useful then?The key mistake I made was my perception or obsession on how performance improvement should be driven, but I strongly believe this is still a common problem to most of the developers. In fact we all know the that the performance of a system is generally presented by the Capacity (or Throughput), with the 2 important dimensions Speed (response-time) and Volume (load) :Capacity (TPS) = Volume (T) / Speed (S)To increase the Capacity, we can either reduce the Speed(in terms of response-time), or to increase the Volume. However we tend to only focus on reducing the Speed dimension, perhaps it is more concrete and tangible to measure, and nicer to present to our management because there's a direct impact onto the end-users experience. On the other hand, we assume the Volume can be addressed by the underlying hardware or software stack, so if we need more capacity (scale out), we just add more hardware or software. Unfortunately, the reality proves that IT is never as ideal as we assume...The challenge with Speed improvement approach is that it is generally difficult and costly to make things already fast... faster. And by adding Coherence will not necessarily help either. Even though we manage to do so, the Capacity can not increase forever because... the Speed can be influenced by the Volume. For all system, we always have a performance illustration as follow: In all traditional system, the increase of Volume (Transaction) will also increase the Speed (Response-Time) as some point. The reason is simple: most of the time the Application logics were not designed to scale. As an example, if you have a while-loop in your application, it is natural to conceive that parsing 200 entries will require double execution-time compared to 100 entries. If you need to "Speed-up" the execution, you can only upgrade your hardware (scale-up) with faster CPU and/or network to reduce network latency. It is technically limited and economically inefficient. And this is exactly where XTP and Coherence kick in. The primary objective of XTP is about designing applications which can scale-out for increasing the Volume, by applying coding techniques to keep the execution-time as constant as possible, independently of the number of runtime data being manipulated. It is actually not just about having an application running as fast as possible, but about having a much more predictable system, with constant response-time and linearly scale, so we can easily increase throughput by adding more hardwares in parallel. It is in general combined with the Low Latency Programming model, where we tried to optimize the network usage as much as possible, either from the programmatic angle (less network-hoops to complete a task), and/or from a hardware angle (faster network equipments). In this picture, Oracle Coherence can be considered as software-level XTP enabler, via the Distributed-Cache because it can guarantee: - Constant Data Objects access time, independently from the number of Objects and the Coherence Cluster size - Data Objects Distribution by Affinity for in-memory data grouping - In-place Data Processing for parallel executionTo summarize, Oracle Coherence is indeed useful to improve your application performance, just not in the way we commonly think. It's not about the Speed itself, but about the overall Capacity with Extreme Load while keeping consistant Speed. In the future I will keep adding new blog entries around this topic, with some sample codes experiences sharing that I capture in the last few years. In the meanwhile if you want to know more how Oracle Coherence, I strongly suggest you to start with checking how our worldwide customers are using Oracle Coherence first, then you can start playing with the product through our tutorial.Have Fun !

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• Cloud Computing Forces Better Design Practices

  - by Herve Roggero

  Is cloud computing simply different than on premise development, or is cloud computing actually forcing you to create better applications than you normally would? In other words, is cloud computing merely imposing different design principles, or forcing better design principles?  A little while back I got into a discussion with a developer in which I was arguing that cloud computing, and specifically Windows Azure in his case, was forcing developers to adopt better design principles. His opinion was that cloud computing was not yielding better systems; just different systems. In this blog, I will argue that cloud computing does force developers to use better design practices, and hence better applications. So the first thing to define, of course, is the word “better”, in the context of application development. Looking at a few definitions online, better means “superior quality”. As it relates to this discussion then, I stipulate that cloud computing can yield higher quality applications in terms of scalability, everything else being equal. Before going further I need to also outline the difference between performance and scalability. Performance and scalability are two related concepts, but they don’t mean the same thing. Scalability is the measure of system performance given various loads. So when developers design for performance, they usually give higher priority to a given load and tend to optimize for the given load. When developers design for scalability, the actual performance at a given load is not as important; the ability to ensure reasonable performance regardless of the load becomes the objective. This can lead to very different design choices. For example, if your objective is to obtains the fastest response time possible for a service you are building, you may choose the implement a TCP connection that never closes until the client chooses to close the connection (in other words, a tightly coupled service from a connectivity standpoint), and on which a connection session is established for faster processing on the next request (like SQL Server or other database systems for example). If you objective is to scale, you may implement a service that answers to requests without keeping session state, so that server resources are released as quickly as possible, like a REST service for example. This alternate design would likely have a slower response time than the TCP service for any given load, but would continue to function at very large loads because of its inherently loosely coupled design. An example of a REST service is the NO-SQL implementation in the Microsoft cloud called Azure Tables. Now, back to cloud computing… Cloud computing is designed to help you scale your applications, specifically when you use Platform as a Service (PaaS) offerings. However it’s not automatic. You can design a tightly-coupled TCP service as discussed above, and as you can imagine, it probably won’t scale even if you place the service in the cloud because it isn’t using a connection pattern that will allow it to scale [note: I am not implying that all TCP systems do not scale; I am just illustrating the scalability concepts with an imaginary TCP service that isn’t designed to scale for the purpose of this discussion]. The other service, using REST, will have a better chance to scale because, by design, it minimizes resource consumption for individual requests and doesn’t tie a client connection to a specific endpoint (which means you can easily deploy this service to hundreds of machines without much trouble, as long as your pockets are deep enough). The TCP and REST services discussed above are both valid designs; the TCP service is faster and the REST service scales better. So is it fair to say that one service is fundamentally better than the other? No; not unless you need to scale. And if you don’t need to scale, then you don’t need the cloud in the first place. However, it is interesting to note that if you do need to scale, then a loosely coupled system becomes a better design because it can almost always scale better than a tightly-coupled system. And because most applications grow overtime, with an increasing user base, new functional requirements, increased data and so forth, most applications eventually do need to scale. So in my humble opinion, I conclude that a loosely coupled system is not just different than a tightly coupled system; it is a better design, because it will stand the test of time. And in my book, if a system stands the test of time better than another, it is of superior quality. Because cloud computing demands loosely coupled systems so that its underlying service architecture can be leveraged, developers ultimately have no choice but to design loosely coupled systems for the cloud. And because loosely coupled systems are better… … the cloud forces better design practices. My 2 cents.

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• Coherence Data Guarantees for Data Reads - Basic Terminology

  - by jpurdy

  When integrating Coherence into applications, each application has its own set of requirements with respect to data integrity guarantees. Developers often describe these requirements using expressions like "avoiding dirty reads" or "making sure that updates are transactional", but we often find that even in a small group of people, there may be a wide range of opinions as to what these terms mean. This may simply be due to a lack of familiarity, but given that Coherence sits at an intersection of several (mostly) unrelated fields, it may be a matter of conflicting vocabularies (e.g. "consistency" is similar but different in transaction processing versus multi-threaded programming). Since almost all data read consistency issues are related to the concept of concurrency, it is helpful to start with a definition of that, or rather what it means for two operations to be concurrent. Rather than implying that they occur "at the same time", concurrency is a slightly weaker statement -- it simply means that it can't be proven that one event precedes (or follows) the other. As an example, in a Coherence application, if two client members mutate two different cache entries sitting on two different cache servers at roughly the same time, it is likely that one update will precede the other by a significant amount of time (say 0.1ms). However, since there is no guarantee that all four members have their clocks perfectly synchronized, and there is no way to precisely measure the time it takes to send a given message between any two members (that have differing clocks), we consider these to be concurrent operations since we can not (easily) prove otherwise. So this leads to a question that we hear quite frequently: "Are the contents of the near cache always synchronized with the underlying distributed cache?". It's easy to see that if an update on a cache server results in a message being sent to each near cache, and then that near cache being updated that there is a window where the contents are different. However, this is irrelevant, since even if the application reads directly from the distributed cache, another thread update the cache before the read is returned to the application. Even if no other member modifies a cache entry prior to the local near cache entry being updated (and subsequently read), the purpose of reading a cache entry is to do something with the result, usually either displaying for consumption by a human, or by updating the entry based on the current state of the entry. In the former case, it's clear that if the data is updated faster than a human can perceive, then there is no problem (and in many cases this can be relaxed even further). For the latter case, the application must assume that the value might potentially be updated before it has a chance to update it. This almost aways the case with read-only caches, and the solution is the traditional optimistic transaction pattern, which requires the application to explicitly state what assumptions it made about the old value of the cache entry. If the application doesn't want to bother stating those assumptions, it is free to lock the cache entry prior to reading it, ensuring that no other threads will mutate the entry, a pessimistic approach. The optimistic approach relies on what is sometimes called a "fuzzy read". In other words, the application assumes that the read should be correct, but it also acknowledges that it might not be. (I use the qualifier "sometimes" because in some writings, "fuzzy read" indicates the situation where the application actually sees an original value and then later sees an updated value within the same transaction -- however, both definitions are roughly equivalent from an application design perspective). If the read is not correct it is called a "stale read". Going back to the definition of concurrency, it may seem difficult to precisely define a stale read, but the practical way of detecting a stale read is that is will cause the encompassing transaction to roll back if it tries to update that value. The pessimistic approach relies on a "coherent read", a guarantee that the value returned is not only the same as the primary copy of that value, but also that it will remain that way. In most cases this can be used interchangeably with "repeatable read" (though that term has additional implications when used in the context of a database system). In none of cases above is it possible for the application to perform a "dirty read". A dirty read occurs when the application reads a piece of data that was never committed. In practice the only way this can occur is with multi-phase updates such as transactions, where a value may be temporarily update but then withdrawn when a transaction is rolled back. If another thread sees that value prior to the rollback, it is a dirty read. If an application uses optimistic transactions, dirty reads will merely result in a lack of forward progress (this is actually one of the main risks of dirty reads -- they can be chained and potentially cause cascading rollbacks). The concepts of dirty reads, fuzzy reads, stale reads and coherent reads are able to describe the vast majority of requirements that we see in the field. However, the important thing is to define the terms used to define requirements. A quick web search for each of the terms in this article will show multiple meanings, so I've selected what are generally the most common variations, but it never hurts to state each definition explicitly if they are critical to the success of a project (many applications have sufficiently loose requirements that precise terminology can be avoided).

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• Collaborative Whiteboard using WebSocket in GlassFish 4 - Text/JSON and Binary/ArrayBuffer Data Transfer (TOTD #189)

  - by arungupta

  This blog has published a few blogs on using JSR 356 Reference Implementation (Tyrus) as its integrated in GlassFish 4 promoted builds. TOTD #183: Getting Started with WebSocket in GlassFish TOTD #184: Logging WebSocket Frames using Chrome Developer Tools, Net-internals and Wireshark TOTD #185: Processing Text and Binary (Blob, ArrayBuffer, ArrayBufferView) Payload in WebSocket TOTD #186: Custom Text and Binary Payloads using WebSocket One of the typical usecase for WebSocket is online collaborative games. This Tip Of The Day (TOTD) explains a sample that can be used to build such games easily. The application is a collaborative whiteboard where different shapes can be drawn in multiple colors. The shapes drawn on one browser are automatically drawn on all other peer browsers that are connected to the same endpoint. The shape, color, and coordinates of the image are transfered using a JSON structure. A browser may opt-out of sharing the figures. Alternatively any browser can send a snapshot of their existing whiteboard to all other browsers. Take a look at this video to understand how the application work and the underlying code. The complete sample code can be downloaded here. The code behind the application is also explained below. The web page (index.jsp) has a HTML5 Canvas as shown: <canvas id="myCanvas" width="150" height="150" style="border:1px solid #000000;"></canvas> And some radio buttons to choose the color and shape. By default, the shape, color, and coordinates of any figure drawn on the canvas are put in a JSON structure and sent as a message to the WebSocket endpoint. The JSON structure looks like: { "shape": "square", "color": "#FF0000", "coords": { "x": 31.59999942779541, "y": 49.91999053955078 }} The endpoint definition looks like: @WebSocketEndpoint(value = "websocket",encoders = {FigureDecoderEncoder.class},decoders = {FigureDecoderEncoder.class})public class Whiteboard { As you can see, the endpoint has decoder and encoder registered that decodes JSON to a Figure (a POJO class) and vice versa respectively. The decode method looks like: public Figure decode(String string) throws DecodeException { try { JSONObject jsonObject = new JSONObject(string); return new Figure(jsonObject); } catch (JSONException ex) { throw new DecodeException("Error parsing JSON", ex.getMessage(), ex.fillInStackTrace()); }} And the encode method looks like: public String encode(Figure figure) throws EncodeException { return figure.getJson().toString();} FigureDecoderEncoder implements both decoder and encoder functionality but thats purely for convenience. But the recommended design pattern is to keep them in separate classes. In certain cases, you may even need only one of them. On the client-side, the Canvas is initialized as: var canvas = document.getElementById("myCanvas");var context = canvas.getContext("2d");canvas.addEventListener("click", defineImage, false); The defineImage method constructs the JSON structure as shown above and sends it to the endpoint using websocket.send(). An instant snapshot of the canvas is sent using binary transfer with WebSocket. The WebSocket is initialized as: var wsUri = "ws://localhost:8080/whiteboard/websocket";var websocket = new WebSocket(wsUri);websocket.binaryType = "arraybuffer"; The important part is to set the binaryType property of WebSocket to arraybuffer. This ensures that any binary transfers using WebSocket are done using ArrayBuffer as the default type seem to be blob. The actual binary data transfer is done using the following: var image = context.getImageData(0, 0, canvas.width, canvas.height);var buffer = new ArrayBuffer(image.data.length);var bytes = new Uint8Array(buffer);for (var i=0; i<bytes.length; i++) { bytes[i] = image.data[i];}websocket.send(bytes); This comprehensive sample shows the following features of JSR 356 API: Annotation-driven endpoints Send/receive text and binary payload in WebSocket Encoders/decoders for custom text payload In addition, it also shows how images can be captured and drawn using HTML5 Canvas in a JSP. How could this be turned in to an online game ? Imagine drawing a Tic-tac-toe board on the canvas with two players playing and others watching. Then you can build access rights and controls within the application itself. Instead of sending a snapshot of the canvas on demand, a new peer joining the game could be automatically transferred the current state as well. Do you want to build this game ? I built a similar game a few years ago. Do somebody want to rewrite the game using WebSocket APIs ? :-) Many thanks to Jitu and Akshay for helping through the WebSocket internals! Here are some references for you: JSR 356: Java API for WebSocket - Specification (Early Draft) and Implementation (already integrated in GlassFish 4 promoted builds) Subsequent blogs will discuss the following topics (not necessary in that order) ... Error handling Interface-driven WebSocket endpoint Java client API Client and Server configuration Security Subprotocols Extensions Other topics from the API

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• Visual View for Schema Based Editor

  - by Geertjan

  Starting from yesterday's blog entry, make the following change in the DataObject's constructor: registerEditor("text/x-sample+xml", true); I.e., the MultiDataObject.registerEditor method turns the editor into a multiview component. Now, again, within the DataObject, add the following, to register a source editor in the multiview component: @MultiViewElement.Registration(         displayName = "#LBL_Sample_Source",         mimeType = "text/x-sample+xml",         persistenceType = TopComponent.PERSISTENCE_NEVER,         preferredID = "ShipOrderSourceView",         position = 1000) @NbBundle.Messages({     "LBL_Sample_Source=Source" }) public static MultiViewElement createEditor(Lookup lkp){     return new MultiViewEditorElement(lkp); } Result: Next, let's create a visual editor in the multiview component. This could be within the same module as the above or within a completely separate module. That makes it possible for external contributors to provide modules with new editors in an existing multiview component: @MultiViewElement.Registration(displayName = "#LBL_Sample_Visual", mimeType = "text/x-sample+xml", persistenceType = TopComponent.PERSISTENCE_NEVER, preferredID = "VisualEditorComponent", position = 500) @NbBundle.Messages({ "LBL_Sample_Visual=Visual" }) public class VisualEditorComponent extends JPanel implements MultiViewElement {     public VisualEditorComponent() {         initComponents();     }     @Override     public String getName() {         return "VisualEditorComponent";     }     @Override     public JComponent getVisualRepresentation() {         return this;     }     @Override     public JComponent getToolbarRepresentation() {         return new JToolBar();     }     @Override     public Action[] getActions() {         return new Action[0];     }     @Override     public Lookup getLookup() {         return Lookup.EMPTY;     }     @Override     public void componentOpened() {     }     @Override     public void componentClosed() {     }     @Override     public void componentShowing() {     }     @Override     public void componentHidden() {     }     @Override     public void componentActivated() {     }     @Override     public void componentDeactivated() {     }     @Override     public UndoRedo getUndoRedo() {         return UndoRedo.NONE;     }     @Override     public void setMultiViewCallback(MultiViewElementCallback callback) {     }     @Override     public CloseOperationState canCloseElement() {         return CloseOperationState.STATE_OK;     } } Result: Next, the DataObject is automatically returned from the Lookup of DataObject. Therefore, you can go back to your visual editor, add a LookupListener, listen for DataObjects, parse the underlying XML file, and display values in GUI components within the visual editor.

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• BeansBinding Across Modules in a NetBeans Platform Application

  - by Geertjan

  Here's two TopComponents, each in a different NetBeans module. Let's use BeansBinding to synchronize the JTextField in TC2TopComponent with the data published by TC1TopComponent and received in TC2TopComponent by listening to the Lookup. The key to getting to the solution is to have the following in TC2TopComponent, which implements LookupListener: private BindingGroup bindingGroup = null; private AutoBinding binding = null; @Override public void resultChanged(LookupEvent le) { if (bindingGroup != null && binding != null) { bindingGroup.getBinding("customerNameBinding").unbind(); } if (!result.allInstances().isEmpty()){ Customer c = result.allInstances().iterator().next(); // put the customer into the lookup of this topcomponent, // so that it will remain in the lookup when focus changes // to this topcomponent: ic.set(Collections.singleton(c), null); bindingGroup = new BindingGroup(); binding = Bindings.createAutoBinding( // a two-way binding, i.e., a change in // one will cause a change in the other: AutoBinding.UpdateStrategy.READ_WRITE, // source: c, BeanProperty.create("name"), // target: jTextField1, BeanProperty.create("text"), // binding name: "customerNameBinding"); bindingGroup.addBinding(binding); bindingGroup.bind(); } } I must say that this solution is preferable over what I've been doing prior to getting to this solution: I would get the customer from the resultChanged, set a class-level field to that customer, add a document listener (or action listener, which is invoked when Enter is pressed) on the text field and, when a change is detected, set the new value on the customer. All that is not needed with the above bit of code. Then, in the node, make sure to use canRename, setName, and getDisplayName, so that when the user presses F2 on a node, the display name can be changed. In other words, when the user types something different in the node display name after pressing F2, the underlying customer name is changed, which happens, in the first place, because the customer name is bound to the text field's value, so that the text field's value will also change once enter is pressed on the changed node display name. Also set a PropertyChangeListener on the node (which implies you need to add property change support to the customer object), so that when the customer object changes (which happens, in the second place, via a change in the value of the text field, as defined in the binding defined above), the node display name is updated. In other words, there's still a bit of plumbing you need to include. But less than before and the nasty class-level field for storing the customer in the TC2TopComponent is no longer needed. And a listener on the text field, with a property change listener implented on the TC2TopComponent, isn't needed either. On the other hand, it's more code than I was using before and I've had to include the BeansBinding JAR, which adds a bit of overhead to my application, without much additional functionality over what I was doing originally. I'd lean towards not doing things this way. Seems quite expensive for essentially replacing a listener on a text field and a property change listener implemented on the TC2TopComponent for being notified of changes to the customer so that the text field can be updated. On the other other hand, it's kind of nice that all this listening-related code is centralized in one place now. So, here's a nice improvement over the above. Instead of listening for a customer, listen for a node, from which the customer can be obtained. Then, bind the node display name to the text field's value, so that when the user types in the text field, the node display name is updated. That saves you from having to listen in the node for changes to the customer's name. In addition to that binding, keep the previous binding, because the previous binding connects the customer name to the text field, so that when the customer display name is changed via F2 on the node, the text field will be updated. private BindingGroup bindingGroup = null; private AutoBinding nodeUpdateBinding; private AutoBinding textFieldUpdateBinding; @Override public void resultChanged(LookupEvent le) { if (bindingGroup != null && textFieldUpdateBinding != null) { bindingGroup.getBinding("textFieldUpdateBinding").unbind(); } if (bindingGroup != null && nodeUpdateBinding != null) { bindingGroup.getBinding("nodeUpdateBinding").unbind(); } if (!result.allInstances().isEmpty()) { Node n = result.allInstances().iterator().next(); Customer c = n.getLookup().lookup(Customer.class); ic.set(Collections.singleton(n), null); bindingGroup = new BindingGroup(); nodeUpdateBinding = Bindings.createAutoBinding( AutoBinding.UpdateStrategy.READ_WRITE, n, BeanProperty.create("name"), jTextField1, BeanProperty.create("text"), "nodeUpdateBinding"); bindingGroup.addBinding(nodeUpdateBinding); textFieldUpdateBinding = Bindings.createAutoBinding( AutoBinding.UpdateStrategy.READ_WRITE, c, BeanProperty.create("name"), jTextField1, BeanProperty.create("text"), "textFieldUpdateBinding"); bindingGroup.addBinding(textFieldUpdateBinding); bindingGroup.bind(); } } Now my node has no property change listener, while the customer has no property change support. As in the first bit of code, the text field doesn't have a listener either. All that listening is taken care of by the BeansBinding code.  Thanks to Toni for help with this, though he can't be blamed for anything that is wrong with it, only thanked for anything that is right with it. 

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• C# remote web request certificate error

  - by Ben

  Hi. I am currently integrating a payment gateway into an application. Following a successful transaction the remote payment gateway posts details of the transaction back to my application (ITN). It posts to a HttpHandler that is used to read and validate the data. Part of the validation performed is a POST made by the handler to a validation service provided by the payment gateway. This effectively posts some of the original form values received back to the payment gateway to ensure they are valid. The url that I am posting back to is: "https://sandbox.payfast.co.za/eng/query/validate" and the code I am using: /// <summary> /// Posts the data back to the payment processor to validate the data received /// </summary> public static bool ValidateITNRequestData(NameValueCollection formVariables) { bool isValid = true; try { using (WebClient client = new WebClient()) { string validateUrl = (UseSandBox) ? SandboxValidateUrl : LiveValidateUrl; byte[] responseArray = client.UploadValues(validateUrl, "POST", formVariables); // get the resposne and replace the line breaks with spaces string result = Encoding.ASCII.GetString(responseArray); result = result.Replace("\r\n", " ").Replace("\r", "").Replace("\n", " "); if (result == null || !result.StartsWith("VALID")) { isValid = false; LogManager.InsertLog(LogTypeEnum.OrderError, "PayFast ITN validation failed", "The validation response was not valid."); } } } catch (Exception ex) { LogManager.InsertLog(LogTypeEnum.Unknown, "Unable to validate ITN data. Unknown exception", ex); isValid = false; } return isValid; } However, on calling WebClient.UploadValues the following exception is raised: System.Net.WebException: The underlying connection was closed: Could not establish trust relationship for the SSL/TLS secure channel. ---> System.Security.Authentication.AuthenticationException: The remote certificate is invalid according to the validation procedure. at System.Net.Security.SslState.StartSendAuthResetSignal(ProtocolToken message, AsyncProtocolRequest asyncRequest, Exception exception) at For the sake of brevity I haven't listed the full call stack (I can do if anyone thinks it will help). The remote certificate does appear to be valid. To get around the problem I did try adding a new RemoteCertificateValidationCallback that always returned true but just ended up getting the following exception: System.Security.SecurityException: Request for the permission of type 'System.Security.Permissions.SecurityPermission, mscorlib, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089' failed. at System.Security.CodeAccessSecurityEngine.Check(Object demand, StackCrawlMark& stackMark, Boolean isPermSet) at System.Security.CodeAccessPermission.Demand() at System.Net.ServicePointManager.set_ServerCertificateValidationCallback(RemoteCertificateValidationCallback value) at NopSolutions.NopCommerce.Payment.Methods.PayFast.PayFastPaymentProcessor.ValidateITNRequestData(NameValueCollection formVariables) The action that failed was: Demand The type of the first permission that failed was: System.Security.Permissions.SecurityPermission The Zone of the assembly that failed was: MyComputer So I am not sure this will work in medium trust? Any help would be much appreciated. Thanks Ben

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• System.Net.Sockets.SocketException: An existing connection was forcibly closed by the remote host

  - by coffeeaddict

  We have 2 identical database tables on our dev server. In both is a table that holds an X509Certificate2 data in one of its fields. When I grab the cert along with the password that I've been using all along, it works over the first database just fine. I run the same code though over the 2nd database and get this error and I don't get why if the setup is exactly the same and the database is also on this server. So I'm not sure why when I switch my connection string to talk to Database2, even though it's setup the same and the code I'm running over it is the same, it complains. Here's the stack trace: An existing connection was forcibly closed by the remote host Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: System.Net.Sockets.SocketException: An existing connection was forcibly closed by the remote host Source Error: An unhandled exception was generated during the execution of the current web request. Information regarding the origin and location of the exception can be identified using the exception stack trace below. Stack Trace: [SocketException (0x2746): An existing connection was forcibly closed by the remote host] System.Net.Sockets.NetworkStream.Read(Byte[] buffer, Int32 offset, Int32 size) +232 [IOException: Unable to read data from the transport connection: An existing connection was forcibly closed by the remote host.] System.Net.Sockets.NetworkStream.Read(Byte[] buffer, Int32 offset, Int32 size) +7035903 System.Net.FixedSizeReader.ReadPacket(Byte[] buffer, Int32 offset, Int32 count) +58 System.Net.Security.SslState.StartReadFrame(Byte[] buffer, Int32 readBytes, AsyncProtocolRequest asyncRequest) +116 System.Net.Security.SslState.StartReceiveBlob(Byte[] buffer, AsyncProtocolRequest asyncRequest) +123 System.Net.Security.SslState.ProcessReceivedBlob(Byte[] buffer, Int32 count, AsyncProtocolRequest asyncRequest) +86 System.Net.Security.SslState.StartReceiveBlob(Byte[] buffer, AsyncProtocolRequest asyncRequest) +123 System.Net.Security.SslState.ProcessReceivedBlob(Byte[] buffer, Int32 count, AsyncProtocolRequest asyncRequest) +86 System.Net.Security.SslState.StartReceiveBlob(Byte[] buffer, AsyncProtocolRequest asyncRequest) +123 System.Net.Security.SslState.ProcessReceivedBlob(Byte[] buffer, Int32 count, AsyncProtocolRequest asyncRequest) +86 System.Net.Security.SslState.StartReceiveBlob(Byte[] buffer, AsyncProtocolRequest asyncRequest) +123 System.Net.Security.SslState.ForceAuthentication(Boolean receiveFirst, Byte[] buffer, AsyncProtocolRequest asyncRequest) +7184357 System.Net.Security.SslState.ProcessAuthentication(LazyAsyncResult lazyResult) +217 System.Threading.ExecutionContext.runTryCode(Object userData) +376 System.Runtime.CompilerServices.RuntimeHelpers.ExecuteCodeWithGuaranteedCleanup(TryCode code, CleanupCode backoutCode, Object userData) +0 System.Threading.ExecutionContext.Run(ExecutionContext executionContext, ContextCallback callback, Object state) +98 System.Net.TlsStream.ProcessAuthentication(LazyAsyncResult result) +1134 System.Net.TlsStream.Write(Byte[] buffer, Int32 offset, Int32 size) +88 System.Net.PooledStream.Write(Byte[] buffer, Int32 offset, Int32 size) +20 System.Net.ConnectStream.WriteHeaders(Boolean async) +360 [WebException: The underlying connection was closed: An unexpected error occurred on a send.] System.Web.Services.Protocols.WebClientProtocol.GetWebResponse(WebRequest request) +857631 System.Web.Services.Protocols.HttpWebClientProtocol.GetWebResponse(WebRequest request) +10 System.Web.Services.Protocols.SoapHttpClientProtocol.Invoke(String methodName, Object[] parameters) +243 Pmall.PayPal.PayPalApi.PayPalAPIAASoapBinding.SetExpressCheckout(SetExpressCheckoutReq SetExpressCheckoutReq) in C:\www\ssss\ssss\ssss\ssss\Reference.cs:1304 ssss.PayPal.ExpressCheckout.PayPalCheckout.SetExpressCheckout(PaymentDetailsType[] paymentDetails, String returnURL, String cancelURL, PayPalPaymentFlowType paymentFlowType) in C:\www\ssss\ssss\ssss\PayPalCheckout.cs:96 ssss.Web.ssss.SetExpressCheckout() in C:\www\ssss\ssss\ssss.aspx.cs:83 ssss.Web.ssss.Page_Load(Object sender, EventArgs e) in C:\www\ssss\ssss\Register.aspx.cs:24 System.Web.Util.CalliHelper.EventArgFunctionCaller(IntPtr fp, Object o, Object t, EventArgs e) +25 System.Web.Util.CalliEventHandlerDelegateProxy.Callback(Object sender, EventArgs e) +42 System.Web.UI.Control.OnLoad(EventArgs e) +132 System.Web.UI.Control.LoadRecursive() +66 System.Web.UI.Page.ProcessRequestMain(Boolean includeStagesBeforeAsyncPoint, Boolean includeStagesAfterAsyncPoint) +2428

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• ActionScript/Flex ArrayCollection of Number objects to Java Collection<Long> using BlazeDS

  - by Justin

  Hello, I am using Flex 3 and make a call through a RemoteObject to a Java 1.6 method and exposed with BlazeDS and Spring 2.5.5 Integration over a SecureAMFChannel. The ActionScript is as follows (this code is an example of the real thing which is on a separate dev network); import com.adobe.cairngorm.business.ServiceLocator; import mx.collections.ArrayCollection; import mx.rpc.remoting.RemoteObject; import mx.rpc.IResponder; public class MyClass implements IResponder { private var service:RemoteObject = ServiceLocator.getInstance().getRemoteOjbect("mySerivce"); public MyClass() { [ArrayElementType("Number")] private var myArray:ArrayCollection; var id1:Number = 1; var id2:Number = 2; var id3:Number = 3; myArray = new ArrayCollection([id1, id2, id3]); getData(myArray); } public function getData(myArrayParam:ArrayCollection):void { var token:AsyncToken = service.getData(myArrayParam); token.addResponder(this.responder); //Assume responder implementation method exists and works } } This will make a call, once created to the service Java class which is exposed through BlazeDS (assume the mechanics work because they do for all other calls not involving Collection parameters). My Java service class looks like this; public class MySerivce { public Collection<DataObjectPOJO> getData(Collection<Long> myArrayParam) { //The following line is never executed and throws an exception for (Long l : myArrayParam) { System.out.println(l); } } } The exception that is thrown is a ClassCastException saying that a java.lang.Integer cannot be cast to a java.lang.Long. I worked around this issue by looping through the collection using Object instead, checking to see if it is an Integer, cast it to one, then do a .longValue() on it then add it to a temp ArraList. Yuk. The big problem is my application is supposed to handle records in the billions from a DB and the id will overflow the 2.147 billion limit of an integer. I would love to have BlazeDS or the JavaAdapter in it, translate the ActionScript Number to a Long as specified in the method. I hate that even though I use the generic the underlying element type of the collection is an Integer. If this was straight Java, it wouldn't compile. Any ideas are appreciated. Solutions are even better! :)

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• Multiple tables\objects in one nHibernate mapping

  - by Morrislgn

  Hi Folks I am trying to create an nHibernate mapping for a class structure like so: class UserDetails{ Guid id; User user; Role role; public User UserInfo{ get;set; } public Role UserRoles{ get;set; } public Guid ID{ Get; set; } } class User{ string name; int id; public string Name{ get;set; } public int ID{ get;set; } } class Role{ string roleName; string roleDesc; int roleId; public string RoleName{ get;set; } public string RoleDesc{ get;set; } public int RoleID{ get;set; } } The underlying DB structure is similar to the tables, but there is a linking table which links user and role using their respective IDs: UserRoleLinkTable[ identity User_Role_ID (pk) userID (FK to User table) roleid (FK to Role table) ] After playing about with nHibernate this is similar to what I want to try and achieve (but it doesnt work!): <?xml version="1.0" encoding="utf-8" ?> <hibernate-mapping xmlns="urn:nhibernate-mapping-2.2" assembly="Admin" namespace="Admin" > <class name="UserDetails" lazy="false" table="USER"> <id name="ID"> <generator class="guid"></generator> </id> <one-to-one name="UserInfo" class="User" lazy="false" cascade="none"/> <bag name="UserRoles" inverse="false" table="Role" lazy="false" cascade="none" > <key column="Role" /> <many-to-many class="Role" column="ROLE_ID" /> </bag> </class> </hibernate-mapping> I have mappings\entities which appear to work for Role and User (used in other aspects of the project) objects but how do I pull this information into one UserDetails class? The point of the user details to be able to return all this information together as one object. Is it possible to create (for want of a better description) a container using an nHibernate mapping and map the data that way? Hopefully there is enough info to help work this out - thanks in advance for all help given! Cheers, Morris

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• How to use SQL file streaming win32 API and support WCF streaming

  - by Mahesh

  I'm using Sql server file stream type to store large files in the backend. I'm trying to use WCf to stream the file across to the clients. I'm able to get the handle to the file using SQLFileStream (API). I then try to return this stream. I have implemenetd data chunking on the client side to retrive the data from the stream. I'm able to do it for regular filestream and memory stream. Also if i convert then sqlfilestream in to memorystream that also works. The only think that doesn't work is when I try to return sqlfilestream. What am I doing wrong. I have tried both nettcpbinding with streaming enabled and http binding with MTOM encoding. This is the error message am getting : Socket connection was aborted. This could be caused by an error processing your mesage or a receive timeout being exceeded by the remote host, or an underlying network issue.. Local socket timneout was 00:09:59.... Here is my sample code RemoteFileInfo info = new RemoteFileInfo(); info.FileName = "SampleXMLFileService.xml"; string pathName = DataAccess.GetDataSnapshotPath("DataSnapshot1"); SqlConnection connection = DataAccess.GetConnection(); SqlTransaction sqlTransaction = connection.BeginTransaction("SQLSileStreamingTrans"); SqlCommand command = new SqlCommand(); command.Connection = connection; command.Transaction = sqlTransaction; command.CommandText = "SELECT GET_FILESTREAM_TRANSACTION_CONTEXT()"; byte[] transcationContext = command.ExecuteScalar() as byte[]; SqlFileStream stream = new SqlFileStream(pathName, transcationContext, FileAccess.Read); // byte[] bytes = new byte[stream.Length]; // stream.Read(bytes, 0, (int) stream.Length); // Stream reeturnStream = stream; // MemoryStream memoryStream = new MemoryStream(bytes); info.FileByteStream = stream; info.Length = info.FileByteStream.Length; connection.Close(); return info; [MessageContract] public class RemoteFileInfo : IDisposable { [MessageHeader(MustUnderstand = true)] public string FileName; [MessageHeader(MustUnderstand = true)] public long Length; [MessageBodyMember(Order = 1)] public System.IO.Stream FileByteStream; public void Dispose() { if (FileByteStream != null) { FileByteStream.Close(); FileByteStream = null; } } } ANy help is appreciated

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• How to troubleshoot a 'System.Management.Automation.CmdletInvocationException'

  - by JamesD

  Does anyone know how best to determine the specific underlying cause of this exception? Consider a WCF service that is supposed to use Powershell 2.0 remoting to execute MSBuild on remote machines. In both cases the scripting environments are being called in-process (via C# for Powershell and via Powershell for MSBuild), rather than 'shelling-out' - this was a specific design decision to avoid command-line hell as well as to enable passing actual objects into the Powershell script. The Powershell script that calls MSBuild is shown below: function Run-MSBuild { [System.Reflection.Assembly]::LoadWithPartialName("Microsoft.Build.Engine") $engine = New-Object Microsoft.Build.BuildEngine.Engine $engine.BinPath = "C:\Windows\Microsoft.NET\Framework\v3.5" $project = New-Object Microsoft.Build.BuildEngine.Project($engine, "3.5") $project.Load("deploy.targets") $project.InitialTargets = "DoStuff" # # Set some initial Properties & Items # # Optionally setup some loggers (have also tried it without any loggers) $consoleLogger = New-Object Microsoft.Build.BuildEngine.ConsoleLogger $engine.RegisterLogger($consoleLogger) $fileLogger = New-Object Microsoft.Build.BuildEngine.FileLogger $fileLogger.Parameters = "verbosity=diagnostic" $engine.RegisterLogger($fileLogger) # Run the build - this is the line that throws a CmdletInvocationException $result = $project.Build() $engine.Shutdown() } When running the above script from a PS command prompt it all works fine. However, as soon as the script is executed from C# it fails with the above exception. The C# code being used to call Powershell is shown below (remoting functionality removed for simplicity's sake): // Build the DTO object that will be passed to Powershell dto = SetupDTO() RunspaceConfiguration runspaceConfig = RunspaceConfiguration.Create(); using (Runspace runspace = RunspaceFactory.CreateRunspace(runspaceConfig)) { runspace.Open(); IList errors; using (var scriptInvoker = new RunspaceInvoke(runspace)) { // The Powershell script lives in a file that gets compiled as an embedded resource TextReader tr = new StreamReader(Assembly.GetExecutingAssembly().GetManifestResourceStream("MyScriptResource")); string script = tr.ReadToEnd(); // Load the script into the Runspace scriptInvoker.Invoke(script); // Call the function defined in the script, passing the DTO as an input object var psResults = scriptInvoker.Invoke("$input | Run-MSBuild", dto, out errors); } } Assuming that the issue was related to MSBuild outputting something that the Powershell runspace can't cope with, I have also tried the following variations to the second .Invoke() call: var psResults = scriptInvoker.Invoke("$input | Run-MSBuild | Out-String", dto, out errors); var psResults = scriptInvoker.Invoke("$input | Run-MSBuild | Out-Null", dto, out errors); var psResults = scriptInvoker.Invoke("Run-MSBuild | Out-String"); var psResults = scriptInvoker.Invoke("Run-MSBuild | Out-String"); var psResults = scriptInvoker.Invoke("Run-MSBuild | Out-Null"); I've also looked at using a custom PSHost (based on this sample: http://blogs.msdn.com/daiken/archive/2007/06/22/hosting-windows-powershell-sample-code.aspx), but during debugging I was unable to see any 'interesting' calls to it being made. Do the great and the good of Stackoverflow have any insight that might save my sanity?

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