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  • Serial plans: Threshold / Parallel_degree_limit = 1

    - by jean-pierre.dijcks
    As a very short follow up on the previous post. So here is some more on getting a serial plan and why that happens Another reason - compared to the auto DOP is not on as we looked at in the earlier post - and often more prevalent to get a serial plan is if the plan simply does not take long enough to consider a parallel path. The resulting plan and note looks like this (note that this is a serial plan!): explain plan for select count(1) from sales; SELECT PLAN_TABLE_OUTPUT FROM TABLE(DBMS_XPLAN.DISPLAY()); PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- Plan hash value: 672559287 -------------------------------------------------------------------------------------- | Id  | Operation            | Name  | Rows  | Cost (%CPU)| Time     | Pstart| Pstop | -------------------------------------------------------------------------------------- PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- |   0 | SELECT STATEMENT     |       |     1 |     5   (0)| 00:00:01 |       |     | |   1 |  SORT AGGREGATE      |       |     1 |            |          |       |     | |   2 |   PARTITION RANGE ALL|       |   960 |     5   (0)| 00:00:01 |     1 |  16 | |   3 |    TABLE ACCESS FULL | SALES |   960 |     5   (0)| 00:00:01 |     1 |  16 | Note -----    - automatic DOP: Computed Degree of Parallelism is 1 because of parallel threshold 14 rows selected. The parallel threshold is referring to parallel_min_time_threshold and since I did not change the default (10s) the plan is not being considered for a parallel degree computation and is therefore staying with the serial execution. Now we go into the land of crazy: Assume I do want this DOP=1 to happen, I could set the parameter in the init.ora, but to highlight it in this case I changed it on the session: alter session set parallel_degree_limit = 1; The result I get is: ERROR: ORA-02097: parameter cannot be modified because specified value is invalid ORA-00096: invalid value 1 for parameter parallel_degree_limit, must be from among CPU IO AUTO INTEGER>=2 Which of course makes perfect sense...

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  • User-Defined Customer Events & their impact (FA Type Profile)

    - by Rajesh Sharma
    CC&B automatically creates field activities when a specific Customer Event takes place. This depends on the way you have setup your Field Activity Type Profiles, the templates within, and associated SP Condition(s) on the template. CC&B uses the service point type, its state and referenced customer event to determine which field activity type to generate.   Customer events available in the base product include: Cut for Non-payment (CNP) Disconnect Warning (DIWA) Reconnect for Payment (REPY) Reread (RERD) Stop Service (STOP) Start Service (STRT) Start/Stop (STSP)   Note the Field values/codes defined for each event.   CC&B comes with a flexibility to define new set of customer events. These can be defined in the Look Up - CUST_EVT_FLG. Values from the Look Up are used on the Field Activity Type Profile Template page.     So what's the use of having user-defined Customer Events? And how will the system detect such events in order to create field activity(s)?   Well, system can only detect such events when you reference a user-defined customer event on a Severance Event Type for an event type Create Field Activities.     This way you can create additional field activities of a specific field activity type for user-defined customer events.   One of our customers adopted this feature and created a user-defined customer event CNPW - Cut for Non-payment for Water Services. This event was then linked on a Field Activity Type Profile and referenced on a Severance Event - CUT FOR NON PAY-W. The associated Severance Process was configured to trigger a reconnection process if it was cancelled (done by defining a Post Cancel Algorithm). Whenever this Severance Event was executed, a specific type of Field Activity was generated for disconnection purposes. The Field Activity type was determined by the system from the Field Activity Type Profile referenced for the SP Type, SP's state and the referenced user-defined customer event. All was working well until the time when they realized that in spite of the Severance Process getting cancelled (when a payment was made); the Post Cancel Algorithm was not executed to start a Reconnection Severance Process for the purpose of generating a reconnection field activity and reconnecting the service.   Basically, the Post Cancel algorithm (if specified on a Severance Process Template) is triggered when a Severance Process gets cancelled because a credit transaction has affected/relieved a Service Agreement's debt.   So what exactly was happening? Now we come to actual question as to what is the impact in having a user-defined customer event.   System defined/base customer events are hard-coded across the entire system. There is an impact even if you remove any customer event entry from the Look Up. User-defined customer events are not recognized by the system anywhere else except in the severance process, as described above.   There are few programs which have routines to first validate the completion of disconnection field activities, which were raised as a result of customer event CNP - Cut for Non-payment in order to perform other associated actions. One such program is the Post Cancel Algorithm, referenced on a Severance Process Template, generally used to reconnect services which were disconnected from other Severance Event, specifically CNP - Cut for Non-Payment. Post cancel algorithm provided by the product - SEV POST CAN does the following (below is the algorithm's description):   This algorithm is called after a severance process has been cancelled (typically because the debt was paid and the SA is no longer eligible to be on the severance process). It checks to see if the process has a completed 'disconnect' event and, if so, starts a reconnect process using the Reconnect Severance Process Template defined in the parameter.    Notice the underlined text. This algorithm implicitly checks for Field Activities having completed status, which were generated from Severance Events as a result of CNP - Cut for Non-payment customer event.   Now if we look back to the customer's issue, we can relate that the Post Cancel algorithm was triggered, but was not able to find any 'Completed' CNP - Cut for Non-payment related field activity. And hence was not able to start a reconnection severance process. This was because a field activity was generated and completed for a customer event CNPW - Cut for Non-payment of Water Services instead.   To conclude, if you introduce new customer events that extend or simulate base customer events, the ones that are included in the base product, ensure that there is no other impact either direct or indirect to other business functions that the application has to offer.  

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  • Limiting Audit Exposure and Managing Risk – Q&A and Follow-Up Conversation

    - by Tanu Sood
    Thanks to all who attended the live ISACA webcast on Limiting Audit Exposure and Managing Risk with Metrics-Driven Identity Analytics. We were really fortunate to have Don Sparks from ISACA moderate the webcast featuring Stuart Lincoln, Vice President, IT P&L Client Services, BNP Paribas, North America and Neil Gandhi, Principal Product Manager, Oracle Identity Analytics. Stuart’s insights given the team’s role in providing IT for P&L Client Services and his tremendous experience in identity management and establishing sustainable compliance programs were true value-add at yesterday’s webcast. And if you are a healthcare organization looking to solve your compliance and security challenges, we recommend you join us for a live webcast on Tuesday, November 29 at 10 am PT. The webcast will feature experts from Kaiser Permanente, PricewaterhouseCoopers and Oracle and the focus of the discussion will be around the compliance challenges a healthcare organization faces and best practices for tackling those. Here are the details: Healthcare IT News Webcast: Managing Risk and Enforcing Compliance in Healthcare with Identity Analytics Tuesday, November 29, 201110:00 a.m. PT / 1:00 p.m. ET Register Today The ISACA webcast replay is now available on-demand and the slides are also available for download. Since we didn’t have time to address all the questions we received during the live Q&A portion of the webcast, we have captured responses to the remaining questions here. Please continue to provide us your feedback and insights from your experience in deploying identity compliance solutions. Q. Can you please clarify the mechanism utilized to populate the Identity Warehouse from each individual application's access management function / files? A. Oracle Identity Analytics (OIA) supports direct imports from applications. Data collection is based on Extract, Transform and Load (ETL) that eliminates the need to write connectors to different applications. Oracle Identity Analytics’ import engine supports complex entitlement feeds saved as either text files or XML. The imports can be scheduled on a periodic basis or triggered as needed. If the applications are synchronized with a user provisioning solution like Oracle Identity Manager, Oracle Identity Analytics has a seamless integration to pull in data from Oracle Identity Manager. Q.  Can you provide a short summary of the new features in your latest release of Oracle Identity Analytics? A. Oracle recently announced availability of enhanced Oracle Identity Analytics. This release focused on easing the certification process by offering risk analytics driven certification, advanced certification screens, business centric views and significant improvement in performance including 3X faster data imports, 3X faster certification campaign generation and advanced auto-certification features, that  will allow organizations to improve user productivity by up to 80%. Closed-loop risk feedback and IT policy monitoring with Oracle Identity Manager, a leading user provisioning solution, allows for more accurate certification reviews. And, OIA's improved performance enables customers to scale compliance initiatives supporting millions of user entitlements across thousands of applications, whether on premise or in the cloud, without compromising speed or integrity. Q. Will ISACA grant a CPE credit for attending this ISACA-sponsored webinar today? A. From ISACA: Hello and thank you for your interest in the 2011 ISACA Webinar Program!  Unfortunately, there are no CPEs offered for this program, archived or live.  We will be looking into the feasibility of offering them in the future.  Q. Would you be able to use this to help manage licenses for software? That is to say - could it track software that is not used by a user, thus eliminating the software license? A. OIA’s integration with Oracle Identity Manager, a leading user provisioning solution, allows organizations to detect ghost accounts or unused accounts via account reconciliation. Based on company’s policies, this could trigger an automated workflow for account deletion or asking for further investigation. Closed-loop feedback between the two solutions would then allow visibility into the complete audit trail of when the account was detected, the action taken, by whom, when and the current status. Q. We have quarterly attestations and .xls mechanisms are not working. Once the identity data is correlated in Identity Analytics, do you then automate access certification? A. OIA’s identity warehouse analyzes and correlates identity data across various resources that allows OIA to determine a user’s risk profile, who the access review request should go to, along with all the relevant access details of the user. The access certification manager gets notification on what to review, when and the relevant data is presented in a business friendly screen. Based on the result of the access certification process, actions are triggered and results recorded and archived. Access review managers have visual risk indicators that also allow them to prioritize access certification tasks and efforts. Q. How does Oracle Identity Analytics work with Cloud Security? A. For enterprises looking to build their own cloud(s), Oracle offers a set of security services that cloud developers can leverage including Oracle Identity Analytics.  For enterprises looking to manage their compliance requirements but without hosting those in-house and instead having a hosting provider offer managed Identity Management services to the organizations, Oracle Identity Analytics can be leveraged much the same way as you’d in an on-premise (within the enterprise) environment. In fact, organizations today are leveraging Oracle Identity Analytics to manage identity compliance in both these ways. Q. Would you recommend this as a cost effective solution for a smaller organization with @ 2,500 users? A. The key return-on-investment (ROI) on Oracle Identity Analytics is derived from automating compliance processes thereby eliminating administrative overhead, minimizing errors, maintaining cost- and time-effective sustainable compliance processes and minimizing audit exposures and penalties.  Of course, there are other tangible benefits that are derived from an Oracle Identity Analytics implementation as outlined in the webcast. For a quantitative analysis of your requirements and potential ROI calculation, we recommend you refer to the Forrester Study on Total Economic Impact of Oracle Identity Analytics. For an in-person discussion, please email Richard Caldwell.

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  • Threading Overview

    - by ACShorten
    One of the major features of the batch framework is the ability to support multi-threading. The multi-threading support allows a site to increase throughput on an individual batch job by splitting the total workload across multiple individual threads. This means each thread has fine level control over a segment of the total data volume at any time. The idea behind the threading is based upon the notion that "many hands make light work". Each thread takes a segment of data in parallel and operates on that smaller set. The object identifier allocation algorithm built into the product randomly assigns keys to help ensure an even distribution of the numbers of records across the threads and to minimize resource and lock contention. The best way to visualize the concept of threading is to use a "pie" analogy. Imagine the total workset for a batch job is a "pie". If you split that pie into equal sized segments, each segment would represent an individual thread. The concept of threading has advantages and disadvantages: Smaller elapsed runtimes - Jobs that are multi-threaded finish earlier than jobs that are single threaded. With smaller amounts of work to do, jobs with threading will finish earlier. Note: The elapsed runtime of the threads is rarely proportional to the number of threads executed. Even though contention is minimized, some contention does exist for resources which can adversely affect runtime. Threads can be managed individually – Each thread can be started individually and can also be restarted individually in case of failure. If you need to rerun thread X then that is the only thread that needs to be resubmitted. Threading can be somewhat dynamic – The number of threads that are run on any instance can be varied as the thread number and thread limit are parameters passed to the job at runtime. They can also be configured using the configuration files outlined in this document and the relevant manuals.Note: Threading is not dynamic after the job has been submitted Failure risk due to data issues with threading is reduced – As mentioned earlier individual threads can be restarted in case of failure. This limits the risk to the total job if there is a data issue with a particular thread or a group of threads. Number of threads is not infinite – As with any resource there is a theoretical limit. While the thread limit can be up to 1000 threads, the number of threads you can physically execute will be limited by the CPU and IO resources available to the job at execution time. Theoretically with the objects identifiers evenly spread across the threads the elapsed runtime for the threads should all be the same. In other words, when executing in multiple threads theoretically all the threads should finish at the same time. Whilst this is possible, it is also possible that individual threads may take longer than other threads for the following reasons: Workloads within the threads are not always the same - Whilst each thread is operating on the roughly the same amounts of objects, the amount of processing for each object is not always the same. For example, an account may have a more complex rate which requires more processing or a meter has a complex amount of configuration to process. If a thread has a higher proportion of objects with complex processing it will take longer than a thread with simple processing. The amount of processing is dependent on the configuration of the individual data for the job. Data may be skewed – Even though the object identifier generation algorithm attempts to spread the object identifiers across threads there are some jobs that use additional factors to select records for processing. If any of those factors exhibit any data skew then certain threads may finish later. For example, if more accounts are allocated to a particular part of a schedule then threads in that schedule may finish later than other threads executed. Threading is important to the success of individual jobs. For more guidelines and techniques for optimizing threading refer to Multi-Threading Guidelines in the Batch Best Practices for Oracle Utilities Application Framework based products (Doc Id: 836362.1) whitepaper available from My Oracle Support

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  • JDK 7u25: Solutions to Issues caused by changes to Runtime.exec

    - by Devika Gollapudi
    The following examples were prepared by Java engineering for the benefit of Java developers who may have faced issues with Runtime.exec on the Windows platform. Background In JDK 7u21, the decoding of command strings specified to Runtime.exec(String), Runtime.exec(String,String[]) and Runtime.exec(String,String[],File) methods, has been made more strict. See JDK 7u21 Release Notes for more information. This caused several issues for applications. The following section describes some of the problems faced by developers and their solutions. Note: In JDK 7u25, the system property jdk.lang.Process.allowAmbigousCommands can be used to relax the checking process and helps as a workaround for some applications that cannot be changed. The workaround is only effective for applications that are run without a SecurityManager. See JDK 7u25 Release Notes for more information. Note: To understand the details of the Windows API CreateProcess call, see: http://msdn.microsoft.com/en-us/library/windows/desktop/ms682425%28v=vs.85%29.aspx There are two forms of Runtime.exec calls: with the command as string: "Runtime.exec(String command[, ...])" with the command as string array: "Runtime.exec(String[] cmdarray [, ...] )" The issues described in this section relate to the first form of call. With the first call form, developers expect the command to be passed "as is" to Windows where the command needs be split into its executable name and arguments parts first. But, in accordance with Java API, the command argument is split into executable name and arguments by spaces. Problem 1: "The file path for the command includes spaces" In the call: Runtime.getRuntime().exec("c:\\Program Files\\do.exe") the argument is split by spaces to an array of strings as: c:\\Program, Files\\do.exe The first element of parsed array is interpreted as the executable name, verified by SecurityManager (if present) and surrounded by quotations to avoid ambiguity in executable path. This results in the wrong command: "c:\\Program" "Files\\do.exe" which will fail. Solution: Use the ProcessBuilder class, or the Runtime.exec(String[] cmdarray [, ...] ) call, or quote the executable path. Where it is not possible to change the application code and where a SecurityManager is not used, the Java property jdk.lang.Process.allowAmbigousCommands could be used by setting its value to "true" from the command line: -Djdk.lang.Process.allowAmbigousCommands=true This will relax the checking process to allow ambiguous input. Examples: new ProcessBuilder("c:\\Program Files\\do.exe").start() Runtime.getRuntime().exec(new String[]{"c:\\Program Files\\do.exe"}) Runtime.getRuntime().exec("\"c:\\Program Files\\do.exe\"") Problem 2: "Shell command/.bat/.cmd IO redirection" The following implicit cmd.exe calls: Runtime.getRuntime().exec("dir temp.txt") new ProcessBuilder("foo.bat", "", "temp.txt").start() Runtime.getRuntime().exec(new String[]{"foo.cmd", "", "temp.txt"}) lead to the wrong command: "XXXX" "" temp.txt Solution: To specify the command correctly, use the following options: Runtime.getRuntime().exec("cmd /C \"dir temp.txt\"") new ProcessBuilder("cmd", "/C", "foo.bat temp.txt").start() Runtime.getRuntime().exec(new String[]{"cmd", "/C", "foo.cmd temp.txt"}) or Process p = new ProcessBuilder("cmd", "/C" "XXX").redirectOutput(new File("temp.txt")).start(); Problem 3: "Group execution of shell command and/or .bat/.cmd files" Due to enforced verification procedure, arguments in the following calls create the wrong commands.: Runtime.getRuntime().exec("first.bat && second.bat") new ProcessBuilder("dir", "&&", "second.bat").start() Runtime.getRuntime().exec(new String[]{"dir", "|", "more"}) Solution: To specify the command correctly, use the following options: Runtime.exec("cmd /C \"first.bat && second.bat\"") new ProcessBuilder("cmd", "/C", "dir && second.bat").start() Runtime.exec(new String[]{"cmd", "/C", "dir | more"}) The same scenario also works for the "&", "||", "^" operators of the cmd.exe shell. Problem 4: ".bat/.cmd with special DOS chars in quoted params” Due to enforced verification, arguments in the following calls will cause exceptions to be thrown.: Runtime.getRuntime().exec("log.bat \"error new ProcessBuilder("log.bat", "error Runtime.getRuntime().exec(new String[]{"log.bat", "error Solution: To specify the command correctly, use the following options: Runtime.getRuntime().exec("cmd /C log.bat \"error new ProcessBuilder("cmd", "/C", "log.bat", "error Runtime.getRuntime().exec(new String[]{"cmd", "/C", "log.bat", "error Examples: Complicated redirection for shell construction: cmd /c dir /b C:\ "my lovely spaces.txt" becomes Runtime.getRuntime().exec(new String[]{"cmd", "/C", "dir \b \"my lovely spaces.txt\"" }); The Golden Rule: In most cases, cmd.exe has two arguments: "/C" and the command for interpretation.

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  • Expanding the Partner Ecosystem with Third-Party Plug-ins

    - by Joe Diemer
    Oracle Enterprise Manager’s extensibility capabilities are designed to allow customers and partners to adapt Enterprise Manager for management of heterogeneous environments with Plug-ins and Connectors.  Third-party developers continue to take advantage of Oracle Enterprise Manager’s Extensibility Development Kit (EDK) to build plug-ins to Enterprise Manager 12c, such as F5’s BIG IP Plug-in and Entuity’s Eye of the Storm Network Management Plug-In.  Partners can also validate their plug-ins through the Oracle Validated Integration (OVI) program, which assures customers that the plug-in has been tested and is functionally and technically sound, is designed in a reliable and standardized manner, and operates and performs as documented.   Two very recent examples of partners which have beta versions of their plug-ins are Blue Medora's VMware vSphere plug-in and the NetApp Storage plug-in.  VMware vSphere Plug-in by Blue Medora Blue Medora, an Oracle Partner Network (OPN) “Gold” member, which just announced that it is now signing up customers to try a beta version of their new VMware vSphere plug-in for Enterprise Manager 12c.  According to Blue Medora, the vSphere plug-in monitors critical VMware metrics (CPU, Memory, Disk, Network, etc) at the Host, VM, Cluster and Resource Pool levels.  It has minimal performance impact via an “agentless” approach that requires no installation directly on VMware servers.  It has discovery capabilities for VMware Datacenters, ESX Hosts, Clusters, Virtual Machines, and Datastores.  It offers integration of native VMware Events into Enterprise Manager, and it provides over 300 VMware-related health, availability, performance, and configuration metrics.  It comes with more than 30 out-of-the-box pre-defined thresholds and can manage VMware via a series of jobs split between cluster, host and VM target types.The company reports that the Enterprise Manager 12c plug-in supports vSphere versions 4.0, 4.5 and 5.0.  Platforms supported include Linux 64-bit, Windows, AIX and Solaris SPARC and x86.  Information about the plug-in, including how to sign up for the beta, is available at their web site at http://bluemedora.com after selecting the "Products" tab. NetApp Storage Plug-in NetApp believes the combination of storage system monitoring with comprehensive management of Oracle systems with Enterprise Manager will help customers reduce the cost and complexity of managing applications that rely on NetApp storage and Oracle technologies.  So, NetApp built a plug-in and reports that it has comprehensive availability and performance information for NetApp storage systems.  Using the plug-in, Oracle Enterprise Manager customers with NetApp storage solutions can track the association between databases and storage components and thereby respond to faults and IO performance bottlenecks quickly. With the latest configuration management capabilities, one can also perform drift analysis to make sure all storage systems are configured as per established gold standards. The company is also now signing up beta customers, which can be done at the NetApp Communities site at https://communities.netapp.com/groups/netapp-storage-system-plug-in-for-oem12c-beta. Learn More about Enterprise Manager Extensibility More plug-ins from other partners are soon to come, which I'll be reporting on them here.  To learn more about Enterprise Manager and how customers and partners can build plug-ins using the EDK to manage a multi-vendor data center, go to http://oracle.com/enterprisemanager in the Heterogeneous Management solution area.  The site also lists the plug-ins available with information on how to obtain them.  More info about the Oracle Validated Integration program can be found at the OPN Enterprise Manager Knowledge Zone in the "Develop" tab.

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  • Limitations of User-Defined Customer Events (FA Type Profile)

    - by Rajesh Sharma
    CC&B automatically creates field activities when a specific Customer Event takes place. This depends on the way you have setup your Field Activity Type Profiles, the templates within, and associated SP Condition(s) on the template. CC&B uses the service point type, its state and referenced customer event to determine which field activity type to generate.   Customer events available in the base product include: Cut for Non-payment (CNP) Disconnect Warning (DIWA) Reconnect for Payment (REPY) Reread (RERD) Stop Service (STOP) Start Service (STRT) Start/Stop (STSP)   Note the Field values/codes defined for each event.   CC&B comes with a flexibility to define new set of customer events. These can be defined in the Look Up - CUST_EVT_FLG. Values from the Look Up are used on the Field Activity Type Profile Template page.     So what's the use of having user-defined Customer Events? And how will the system detect such events in order to create field activity(s)?   Well, system can only detect such events when you reference a user-defined customer event on a Severance Event Type for an event type Create Field Activities.     This way you can create additional field activities of a specific field activity type for user-defined customer events.   One of our customers adopted this feature and created a user-defined customer event CNPW - Cut for Non-payment for Water Services. This event was then linked on a Field Activity Type Profile and referenced on a Severance Event - CUT FOR NON PAY-W. The associated Severance Process was configured to trigger a reconnection process if it was cancelled (done by defining a Post Cancel Algorithm). Whenever this Severance Event was executed, a specific type of Field Activity was generated for disconnection purposes. The Field Activity type was determined by the system from the Field Activity Type Profile referenced for the SP Type, SP's state and the referenced user-defined customer event. All was working well until the time when they realized that in spite of the Severance Process getting cancelled (when a payment was made); the Post Cancel Algorithm was not executed to start a Reconnection Severance Process for the purpose of generating a reconnection field activity and reconnecting the service.   Basically, the Post Cancel algorithm (if specified on a Severance Process Template) is triggered when a Severance Process gets cancelled because a credit transaction has affected/relieved a Service Agreement's debt.   So what exactly was happening? Now we come to actual question as to what are limitations in having user-defined customer event.   System defined/base customer events are hard-coded across the entire system. There is an impact even if you remove any customer event entry from the Look Up. User-defined customer events are not recognized by the system anywhere else except in the severance process, as described above.   There are few programs which have routines to first validate the completion of disconnection field activities, which were raised as a result of customer event CNP - Cut for Non-payment in order to perform other associated actions. One such program is the Post Cancel Algorithm, referenced on a Severance Process Template, generally used to reconnect services which were disconnected from other Severance Event, specifically CNP - Cut for Non-Payment. Post cancel algorithm provided by the product - SEV POST CAN does the following (below is the algorithm's description):   This algorithm is called after a severance process has been cancelled (typically because the debt was paid and the SA is no longer eligible to be on the severance process). It checks to see if the process has a completed 'disconnect' event and, if so, starts a reconnect process using the Reconnect Severance Process Template defined in the parameter.    Notice the underlined text. This algorithm implicitly checks for Field Activities having completed status, which were generated from Severance Events as a result of CNP - Cut for Non-payment customer event.   Now if we look back to the customer's issue, we can relate that the Post Cancel algorithm was triggered, but was not able to find any 'Completed' CNP - Cut for Non-payment related field activity. And hence was not able to start a reconnection severance process. This was because a field activity was generated and completed for a customer event CNPW - Cut for Non-payment of Water Services instead.   To conclude, if you introduce new customer events, you should be aware that you don't extend or simulate base customer events, the ones that are included in the base product, as they are further used to provide/validate additional business functions.  

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  • Get to Know a Candidate (8 of 25): Rocky Anderson&ndash;Justice Party

    - by Brian Lanham
    DISCLAIMER: This is not a post about “Romney” or “Obama”. This is not a post for whom I am voting. Information sourced for Wikipedia. Ross Carl “Rocky” Anderson served two terms as the 33rd mayor of Salt Lake City, Utah, between 2000 and 2008.  He is the Executive Director of High Road for Human Rights.  Prior to serving as Mayor, he practiced law for 21 years in Salt Lake City, during which time he was listed in Best Lawyers in America, was rated A-V (highest rating) by Martindale-Hubbell, served as Chair of the Utah State Bar Litigation Section[4] and was Editor-in-Chief of, and a contributor to, Voir Dire legal journal. As mayor, Anderson rose to nationwide prominence as a champion of several national and international causes, including climate protection, immigration reform, restorative criminal justice, LGBT rights, and an end to the "war on drugs". Before and after the invasion by the U.S. of Iraq in 2003, Anderson was a leading opponent of the invasion and occupation of Iraq and related human rights abuses. Anderson was the only mayor of a major U.S. city who advocated for the impeachment of President George W. Bush, which he did in many venues throughout the United States. Anderson's work and advocacy led to local, national, and international recognition in numerous spheres, including being named by Business Week as one of the top twenty activists in the world on climate change,serving on the Newsweek Global Environmental Leadership Advisory Board, and being recognized by the Human Rights Campaign as one of the top ten straight advocates in the United States for LGBT equality. He has also received numerous awards for his work, including the EPA Climate Protection Award, the Sierra Club Distinguished Service Award, the Respect the Earth Planet Defender Award, the National Association of Hispanic Publications Presidential Award, The Drug Policy Alliance Richard J. Dennis Drugpeace Award, the Progressive Democrats of America Spine Award, the League of United Latin American Citizens Profile in Courage Award, the Bill of Rights Defense Committee Patriot Award, the Code Pink (Salt Lake City) Pink Star honor, the Morehouse University Gandhi, King, Ikeda Award, and the World Leadership Award for environmental programs. Formerly a member of the Democratic Party, Anderson expressed his disappointment with that Party in 2011, stating, “The Constitution has been eviscerated while Democrats have stood by with nary a whimper. It is a gutless, unprincipled party, bought and paid for by the same interests that buy and pay for the Republican Party." Anderson announced his intention to run for President in 2012 as a candidate for the newly-formed Justice Party. Although founded by Rocky Anderson of Utah, the Justice Party was first recognized by Mississippi and describes itself as advocating economic justice through measures such as green jobs and a right to organize, environment justice through enforcing employee safeguards in trade agreements, and social and civic justice through universal health care. In its first press release, the Utah Justice Party set forth its goals for justice in the economic, environmental, social and civic realms, along with a call to rid the corrupting influence of big money from government, to reverse the erosion of rights guaranteed by the Constitution, and to stop draining American resources to support illegal wars of aggression. Its press release says its grassroots supporters believe that now is the time for all to "shed their skeptical view that their voices don't matter", that "our 2-party system is a 'duopoly' controlled by the same corporate and military interests", and that the people must act to ensure "that our nation will achieve a brighter, sustainable future.” Anderson has ballot access in CO, CT, FL, ID, LA, MI, MN, MS, NJ, NM, OR, RI, TN, UT, VT, WA (152 electoral votes) and has write-in access in AL, AK, DE, GA, IL, IO, KS, MD, MO, NE, NH, NY, PA, TX Learn more about Rocky Anderson and Justice Party on Wikipedia.

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  • Tyrus 1.8

    - by Pavel Bucek
    Another version of Tyrus, the reference implementation of JSR 356 – Java API for WebSocket is out! Complete list of fixes and features is below, but let me describe some of the new features in more detail. All information presented here is also available in Tyrusdocumentation. What’s new? First to mention is that JSR 356 Maintenance review Ballot is over and the change proposed for 1.1 release was accepted. More details about changes in the API can be found in this article. Important part is that Tyrus 1.8 implements this API, meaning you can use Lambda expressions and some features of Nashorn without the need for any workarounds. Almost all other features are related to client side support, which was significantly improved in this release. Firstly – I have to admit, that Tyrus client contained security issue – SSL Hostname verification was not performed when connecting to “wss” endpoints. This was fixed as part of TYRUS-339 and resulted in some changes in the client configuration API. Now you can control whether HostnameVerification should be performed (SslEngineConfigurator#setHostnameVerificationEnabled(boolean)) or even set your own HostnameVerifier (please use carefully): #setHostnameVerifier(…). Detailed description can be found in Host verification chapter. Another related enhancement is support for Http Basic and Digest authentication schemes. Tyrus client now enables users to provide credentials and underlying implementation will take care of everything else. Our implementation is strictly non pre-emptive, so the login information is sent always as a response to 401 Http Status Code. If the Basic and Digest are not good enough and there is a need to use some custom scheme or something which is not yet supported in Tyrus, custom Authenticator can be registered and the authentication part of the handshake process will be handled by it. Please seeClient HTTP Authentication chapter in the user guide for more details. There are other features, like fine-grain threadpool configuration for JDK client container, build-in Http redirect support and some reshuffling related to unifying the location of client configuration classes and properties definition – every property should be now part of ClientProperties class. All new features are described in the user guide – in chapterTyrus proprietary configuration. Update – Tyrus 1.8.1 There was another slightly late reported issue related to running in environments with SecurityManager enabled, so this version fixes that. Another noteworthy fixes are TYRUS-355 and TYRUS-361; the first one is about incorrect thread factory used for shared container timeout, which resulted in JVM waiting for that thread and not exiting as it should. The other issue enables relative URIs in Location header when using redirect feature. Links Tyrus homepage mailing list JIRA Complete list of changes: Bug [TYRUS-333] – Multiple endpoints on one client [TYRUS-334] – When connection is closed by a peer, periodic heartbeat pong is not stopped [TYRUS-336] – ReaderBuffer.getNextChars() keeps blocking a server thread after client has closed the session [TYRUS-338] – JDK client SSL filter needs better synchronization during handshake phase [TYRUS-339] – SSL hostname verification is missing [TYRUS-340] – Test PathParamTest are not stable with JDK client [TYRUS-341] – A control frame inside a stream of continuation frames is treated as the part of the stream [TYRUS-343] – ControlFrameInDataStreamTest does not pass on GF [TYRUS-345] – NPE is thrown, when shared container timeout property in JDK client is not set [TYRUS-346] – IllegalStateException is thrown, when using proxy in JDK client [TYRUS-347] – Introduce better synchronization in JDK client thread pool [TYRUS-348] – When a client and server close connection simultaneously, JDK client throws NPE [TYRUS-356] – Tyrus cannot determine the connection port for a wss URL [TYRUS-357] – Exception thrown in MessageHandler#OnMessage is not caught in @OnError method [TYRUS-359] – Client based on Java 7 Asynchronous IO makes application unexitable Improvement [TYRUS-328] – JDK 1.7 AIO Client container – threads – (setting threadpool, limits, …) [TYRUS-332] – Consolidate shared client properties into one file. [TYRUS-337] – Create an SSL version of Basic Servlet test New Feature [TYRUS-228] – Add client support for HTTP Basic/Digest Task [TYRUS-330] – create/run tests/servlet/basic via wss [TYRUS-335] – [clustering] – introduce RemoteSession and expose them via separate method (not include remote sessions in the getOpenSessions()) [TYRUS-344] – Introduce Client support for HTTP Redirect

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  • FAQ: Highlight GridView Row on Click and Retain Selected Row on Postback

    - by Vincent Maverick Durano
    A couple of months ago I’ve written a simple demo about “Highlighting GridView Row on MouseOver”. I’ve noticed many members in the forums (http://forums.asp.net) are asking how to highlight row in GridView and retain the selected row across postbacks. So I’ve decided to write this post to demonstrate how to implement it as reference to others who might need it. In this demo I going to use a combination of plain JavaScript and jQuery to do the client-side manipulation. I presumed that you already know how to bind the grid with data because I will not include the codes for populating the GridView here. For binding the gridview you can refer this post: Binding GridView with Data the ADO.Net way or this one: GridView Custom Paging with LINQ. To get started let’s implement the highlighting of GridView row on row click and retain the selected row on postback.  For simplicity I set up the page like this: <asp:Content ID="Content2" ContentPlaceHolderID="MainContent" runat="server"> <h2>You have selected Row: (<asp:Label ID="Label1" runat="server" />)</h2> <asp:HiddenField ID="hfCurrentRowIndex" runat="server"></asp:HiddenField> <asp:HiddenField ID="hfParentContainer" runat="server"></asp:HiddenField> <asp:Button ID="Button1" runat="server" onclick="Button1_Click" Text="Trigger Postback" /> <asp:GridView ID="grdCustomer" runat="server" AutoGenerateColumns="false" onrowdatabound="grdCustomer_RowDataBound"> <Columns> <asp:BoundField DataField="Company" HeaderText="Company" /> <asp:BoundField DataField="Name" HeaderText="Name" /> <asp:BoundField DataField="Title" HeaderText="Title" /> <asp:BoundField DataField="Address" HeaderText="Address" /> </Columns> </asp:GridView> </asp:Content>   Note: Since the action is done at the client-side, when we do a postback like (clicking on a button) the page will be re-created and you will lose the highlighted row. This is normal because the the server doesn't know anything about the client/browser not unless if you do something to notify the server that something has changed. To persist the settings we will use some HiddenFields control to store the data so that when it postback we can reference the value from there. Now here’s the JavaScript functions below: <asp:content id="Content1" runat="server" contentplaceholderid="HeadContent"> <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.4/jquery.min.js" type="text/javascript"></script> <script type="text/javascript">       var prevRowIndex;       function ChangeRowColor(row, rowIndex) {           var parent = document.getElementById(row);           var currentRowIndex = parseInt(rowIndex) + 1;                 if (prevRowIndex == currentRowIndex) {               return;           }           else if (prevRowIndex != null) {               parent.rows[prevRowIndex].style.backgroundColor = "#FFFFFF";           }                 parent.rows[currentRowIndex].style.backgroundColor = "#FFFFD6";                 prevRowIndex = currentRowIndex;                 $('#<%= Label1.ClientID %>').text(currentRowIndex);                 $('#<%= hfParentContainer.ClientID %>').val(row);           $('#<%= hfCurrentRowIndex.ClientID %>').val(rowIndex);       }             $(function () {           RetainSelectedRow();       });             function RetainSelectedRow() {           var parent = $('#<%= hfParentContainer.ClientID %>').val();           var currentIndex = $('#<%= hfCurrentRowIndex.ClientID %>').val();           if (parent != null) {               ChangeRowColor(parent, currentIndex);           }       }          </script> </asp:content>   The ChangeRowColor() is the function that sets the background color of the selected row. It is also where we set the previous row and rowIndex values in HiddenFields.  The $(function(){}); is a short-hand for the jQuery document.ready event. This event will be fired once the page is posted back to the server that’s why we call the function RetainSelectedRow(). The RetainSelectedRow() function is where we referenced the current selected values stored from the HiddenFields and pass these values to the ChangeRowColor() function to retain the highlighted row. Finally, here’s the code behind part: protected void grdCustomer_RowDataBound(object sender, GridViewRowEventArgs e) { if (e.Row.RowType == DataControlRowType.DataRow) { e.Row.Attributes.Add("onclick", string.Format("ChangeRowColor('{0}','{1}');", e.Row.ClientID, e.Row.RowIndex)); } } The code above is responsible for attaching the javascript onclick event for each row and call the ChangeRowColor() function and passing the e.Row.ClientID and e.Row.RowIndex to the function. Here’s the sample output below:   That’s it! I hope someone find this post useful! Technorati Tags: jQuery,GridView,JavaScript,TipTricks

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  • How to Open Any Folder as a Project in the NetBeans Platform

    - by Geertjan
    Typically, as described in the NetBeans Project Type Tutorial, you'll define a project type based on the presence of a file (e.g., "project.xml" or "customer.txt" or something like that) in a folder. I.e., if the file is there, then its parent, i.e., the folder that contains the file, is a project and should be opened in your application. However, in some scenarios (as with the HTML5 project type introduced in NetBeans IDE 7.3), the user should be able to open absolutely any folder at all into the application. How to create a project type that is that liberal? Here you go, the only condition that needs to be true is that the selected item in the "Open Project" dialog is a folder, as defined in the "isProject" method below. Nothing else. That's it. If you select a folder, it will be opened in your application, displaying absolutely everything as-is (since below there's no ProjectLogicalView defined): import java.beans.PropertyChangeListener; import java.io.IOException; import javax.swing.Icon; import org.netbeans.api.project.Project; import org.netbeans.api.project.ProjectInformation; import org.netbeans.spi.project.ProjectFactory; import org.netbeans.spi.project.ProjectState; import org.openide.filesystems.FileObject; import org.openide.loaders.DataFolder; import org.openide.loaders.DataObjectNotFoundException; import org.openide.nodes.FilterNode; import org.openide.util.Exceptions; import org.openide.util.ImageUtilities; import org.openide.util.Lookup; import org.openide.util.lookup.Lookups; import org.openide.util.lookup.ServiceProvider; @ServiceProvider(service = ProjectFactory.class) public class FolderProjectFactory implements ProjectFactory { @Override public boolean isProject(FileObject projectDirectory) { return DataFolder.findFolder(projectDirectory) != null; } @Override public Project loadProject(FileObject dir, ProjectState state) throws IOException { return isProject(dir) ? new FolderProject(dir) : null; } @Override public void saveProject(Project prjct) throws IOException, ClassCastException { // leave unimplemented for the moment } private class FolderProject implements Project { private final FileObject projectDir; private Lookup lkp; private FolderProject(FileObject dir) { this.projectDir = dir; } @Override public FileObject getProjectDirectory() { return projectDir; } @Override public Lookup getLookup() { if (lkp == null) { lkp = Lookups.fixed(new Object[]{ new Info(), }); } return lkp; } private final class Info implements ProjectInformation { @Override public Icon getIcon() { Icon icon = null; try { icon = ImageUtilities.image2Icon( new FilterNode(DataFolder.find( getProjectDirectory()).getNodeDelegate()).getIcon(1)); } catch (DataObjectNotFoundException ex) { Exceptions.printStackTrace(ex); } return icon; } @Override public String getName() { return getProjectDirectory().getName(); } @Override public String getDisplayName() { return getName(); } @Override public void addPropertyChangeListener(PropertyChangeListener pcl) { //do nothing, won't change } @Override public void removePropertyChangeListener(PropertyChangeListener pcl) { //do nothing, won't change } @Override public Project getProject() { return FolderProject.this; } } } } Even the ProjectInformation implementation really isn't needed at all, since it provides nothing more than the icon in the "Open Project" dialog, the rest (i.e., the display name in the "Open Project" dialog) is provided by default regardless of whether you have a ProjectInformation implementation or not.

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  • Node.js Lockstep Multiplayer Architecture

    - by Wakaka
    Background I'm using the lockstep model for a multiplayer Node.js/Socket.IO game in a client-server architecture. User input (mouse or keypress) is parsed into commands like 'attack' and 'move' on the client, which are sent to the server and scheduled to be executed on a certain tick. This is in contrast to sending state data to clients, which I don't wish to use due to bandwidth issues. Each tick, the server will send the list of commands on that tick (possibly empty) to each client. The server and all clients will then process the commands and simulate that tick in exactly the same way. With Node.js this is actually quite simple due to possibility of code sharing between server and client. I'll just put the deterministic simulator in the /shared folder which can be run by both server and client. The server simulation is required so that there is an authoritative version of the simulation which clients cannot alter. Problem Now, the game has many entity classes, like Unit, Item, Tree etc. Entities are created in the simulator. However, for each class, it has some methods that are shared and some that are client-specific. For instance, the Unit class has addHp method which is shared. It also has methods like getSprite (gets the image of the entity), isVisible (checks if unit can be seen by the client), onDeathInClient (does a bunch of stuff when it dies only on the client like adding announcements) and isMyUnit (quick function to check if the client owns the unit). Up till now, I have been piling all the client functions into the shared Unit class, and adding a this.game.isServer() check when necessary. For instance, when the unit dies, it will call if (!this.game.isServer()) { this.onDeathInClient(); }. This approach has worked pretty fine so far, in terms of functionality. But as the codebase grew bigger, this style of coding seems a little strange. Firstly, the client code is clearly not shared, and yet is placed under the /shared folder. Secondly, client-specific variables for each entity are also instantiated on the server entity (like unit.sprite) and can run into problems when the server cannot instantiate the variable (it doesn't have Image class like on browsers). So my question is, is there a better way to organize the client code, or is this a common way of doing things for lockstep multiplayer games? I can think of a possible workaround, but it does have its own problems. Possible workaround (with problems) I could use Javascript mixins that are only added when in a browser. Thus, in the /shared/unit.js file in the /shared folder, I would have this code at the end: if (typeof exports !== 'undefined') module.exports = Unit; else mixin(Unit, LocalUnit); Then I would have /client/localunit.js store an object LocalUnit of client-side methods for Unit. Now, I already have a publish-subscribe system in place for events in the simulator. To remove the this.game.isServer() checks, I could publish entity-specific events whenever I want the client to do something. For instance, I would do this.publish('Death') in /shared/unit.js and do this.subscribe('Death', this.onDeathInClient) in /client/localunit.js. But this would make the simulator's event listeners list on the server and the client different. Now if I want to clear all subscribed events only from the shared simulator, I can't. Of course, it is possible to create two event subscription systems - one client-specific and one shared - but now the publish() method would have to do if (!this.game.isServer()) { this.publishOnClient(event); }. All in all, the workaround off the top of my head seems pretty complicated for something as simple as separating the client and shared code. Thus, I wonder if there is an established and simpler method for better code organization, hopefully specific to Node.js games.

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  • SSAS: Utility to export SQL code from your cube's Data Source View (DSV)

    - by DrJohn
    When you are working on a cube, particularly in a multi-person team, it is sometimes necessary to review what changes that have been done to the SQL queries in the cube's data source view (DSV). This can be a problem as the SQL editor in the DSV is not the best interface to review code. Now of course you can cut and paste the SQL into SSMS, but you have to do each query one-by-one. What is worse your DBA is unlikely to have BIDS installed, so you will have to manually export all the SQL yourself and send him the files. To make it easy to get hold of the SQL in a Data Source View, I developed a C# utility which connects to an OLAP database and uses Analysis Services Management Objects (AMO) to obtain and export all the SQL to a series of files. The added benefit of this approach is that these SQL files can be placed under source code control which means the DBA can easily compare one version with another. The Trick When I came to implement this utility, I quickly found that the AMO API does not give direct access to anything useful about the tables in the data source view. Iterating through the DSVs and tables is easy, but getting to the SQL proved to be much harder. My Google searches returned little of value, so I took a look at the idea of using the XmlDom to open the DSV’s XML and obtaining the SQL from that. This is when the breakthrough happened. Inspecting the DSV’s XML I saw the things I was interested in were called TableType DbTableName FriendlyName QueryDefinition Searching Google for FriendlyName returned this page: Programming AMO Fundamental Objects which hinted at the fact that I could use something called ExtendedProperties to obtain these XML attributes. This simplified my code tremendously to make the implementation almost trivial. So here is my code with appropriate comments. The full solution can be downloaded from here: ExportCubeDsvSQL.zip   using System;using System.Data;using System.IO;using Microsoft.AnalysisServices; ... class code removed for clarity// connect to the OLAP server Server olapServer = new Server();olapServer.Connect(config.olapServerName);if (olapServer != null){ // connected to server ok, so obtain reference to the OLAP databaseDatabase olapDatabase = olapServer.Databases.FindByName(config.olapDatabaseName);if (olapDatabase != null){ Console.WriteLine(string.Format("Succesfully connected to '{0}' on '{1}'",   config.olapDatabaseName,   config.olapServerName));// export SQL from each data source view (usually only one, but can be many!)foreach (DataSourceView dsv in olapDatabase.DataSourceViews){ Console.WriteLine(string.Format("Exporting SQL from DSV '{0}'", dsv.Name));// for each table in the DSV, export the SQL in a fileforeach (DataTable dt in dsv.Schema.Tables){ Console.WriteLine(string.Format("Exporting SQL from table '{0}'", dt.TableName)); // get name of the table in the DSV// use the FriendlyName as the user inputs this and therefore has control of itstring queryName = dt.ExtendedProperties["FriendlyName"].ToString().Replace(" ", "_");string sqlFilePath = Path.Combine(targetDir.FullName, queryName + ".sql"); // delete the sql file if it exists... file deletion code removed for clarity// write out the SQL to a fileif (dt.ExtendedProperties["TableType"].ToString() == "View"){ File.WriteAllText(sqlFilePath, dt.ExtendedProperties["QueryDefinition"].ToString());}if (dt.ExtendedProperties["TableType"].ToString() == "Table"){ File.WriteAllText(sqlFilePath, dt.ExtendedProperties["DbTableName"].ToString()); } } } Console.WriteLine(string.Format("Successfully written out SQL scripts to '{0}'", targetDir.FullName)); } }   Of course, if you are following industry best practice, you should be basing your cube on a series of views. This will mean that this utility will be of limited practical value unless of course you are inheriting a project and want to check if someone did the implementation correctly.

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  • Silverlight 4 Twitter Client &ndash; Part 7

    - by Max
    Download this article as a PDF Welcome back :) This week we are going to look at something more exciting and a much required feature for any twitter client – auto refresh so as to show new status updates. We are going to achieve this using Silverlight 4 Timers and a bit and refresh our datagrid every 2 minutes to show new updates. We will do this so that we do only minimal request to the twitter api, so that twitter does not block us – there is a limit of 150 request an hour. Let us get started now. Also we will get the profile user id hyperlinked, so that when ever the user click on it, we will take them to their twitter page. Also it was a pain to always run this application by pressing F5, then it would open in a browser you would have to right click uninstall and install it again to see any changes. All this and yet we were not able to debug it :( Now there is a solution for this to run a silverlight application directly out of browser and yet have the debug feature. Super cool, here is how. Right on the Silverlight project and go to debug and then select the Out-Of-Browser application option and choose the *.Web project. Then just right click on the SL project and set as Startup Project. There you go, now every time you press F5, it will automatically run out of browser and still have the debug options. I go to know about this after some binging. Now let us jump to the core straight away. 1) To get the user id hyperlinked, we need to have a DataGridTemplateColumn and within that have a HyperLinkButton. The code for this will  be <data:DataGridTemplateColumn> <data:DataGridTemplateColumn.CellTemplate> <DataTemplate> <HyperlinkButton Click="HyperlinkButton_Click" Content="{Binding UserName}" TargetName="_blank" ></HyperlinkButton> </DataTemplate> </data:DataGridTemplateColumn.CellTemplate> </data:DataGridTemplateColumn> 2) Now let us look at how we are getting this done by looking into HyperlinkButton_Click event handler. There we will dynamically set the NavigateUri to the twitter page. I tried to do this using some binding, eval like stuff as in ASP.NET, but no luck! private void HyperlinkButton_Click(object sender, RoutedEventArgs e) { HyperlinkButton hb = (HyperlinkButton)e.OriginalSource; hb.NavigateUri = new Uri("http://twitter.com/" + hb.Content.ToString(), UriKind.Absolute); } 3) Now we need to switch on our Timer right in the OnNavigated to event on our SL page. So we need to modify our OnNavigated event to some thing like below: protected override void OnNavigatedTo(NavigationEventArgs e) { image1.Source = new BitmapImage(new Uri(GlobalVariable.profileImage, UriKind.Absolute)); this.Title = GlobalVariable.getUserName() + " - Home"; if (!GlobalVariable.isLoggedin()) this.NavigationService.Navigate(new Uri("/Login", UriKind.Relative)); else { currentGrid = "Timeline-Grid"; TwitterCredentialsSubmit(); myDispatcherTimer.Interval = new TimeSpan(0, 0, 0, 60, 0); myDispatcherTimer.Tick += new EventHandler(Each_Tick); myDispatcherTimer.Start(); } } I use a global string – here it is currentGrid variable to indicate what is bound in the datagrid so that after every timer tick, I can rebind the latest data to it again. Like I will only rebind the friends timeline again if the data grid currently holds it and I’ll only rebind the respective list status again in the data grid, if already a list status is bound to the data grid. In the above timer code, its set to trigger the Each_Tick event handler every 1 minute (60 seconds). TimeSpan takes in (days, hours, minutes, seconds, milliseconds). 4) Now we need to set the list name in the currentGrid variable when a list button is clicked. So add the code line below to the list button event handler currentGrid = currentList = b.Content.ToString(); 5) Now let us see how Each_Tick event handler is implemented. public void Each_Tick(object o, EventArgs sender) { if (!currentGrid.Equals("Timeline-Grid")) getListStatuses(currentGrid); else { WebRequest.RegisterPrefix("https://", System.Net.Browser.WebRequestCreator.ClientHttp); WebClient myService = new WebClient(); myService.AllowReadStreamBuffering = true; myService.UseDefaultCredentials = false; myService.Credentials = new NetworkCredential(GlobalVariable.getUserName(), GlobalVariable.getPassword()); myService.DownloadStringCompleted += new DownloadStringCompletedEventHandler(TimelineRequestCompleted); myService.DownloadStringAsync(new Uri("https://twitter.com/statuses/friends_timeline.xml")); } } If the data grid hold friends timeline, I just use the same bit of code we had already to bind the friends timeline to the data grid. Copy Paste. But if it is some list timeline that is bound in the datagrid, I then call the getListStatus method with the currentGrid string which will actually be holding the list name. 6) I wanted to make the hyperlinks inside the status message as hyperlinks and when the user clicks on it, we can then open that link. I tried using a convertor and using a regex to recognize a url and wrap it up with a href, but that is not gonna work in silverlight textblock :( Anyways that convertor code is in the zip file. 7) You can get the complete project files from here. 8) Please comment below for your doubts, suggestions, improvements. I will try to reply as early as possible. Thanks for all your support. Technorati Tags: Silverlight 4,Datagrid,Twitter API,Silverlight Timer

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  • FAQ&ndash;Highlight GridView Row on Click and Retain Selected Row on Postback

    - by Vincent Maverick Durano
    A couple of months ago I’ve written a simple demo about “Highlighting GridView Row on MouseOver”. I’ve noticed many members in the forums (http://forums.asp.net) are asking how to highlight row in GridView and retain the selected row across postbacks. So I’ve decided to write this post to demonstrate how to implement it as reference to others who might need it. In this demo I going to use a combination of plain JavaScript and jQuery to do the client-side manipulation. I presumed that you already know how to bind the grid with data because I will not include the codes for populating the GridView here. For binding the gridview you can refer this post: Binding GridView with Data the ADO.Net way or this one: GridView Custom Paging with LINQ. To get started let’s implement the highlighting of GridView row on row click and retain the selected row on postback.  For simplicity I set up the page like this: <asp:Content ID="Content2" ContentPlaceHolderID="MainContent" runat="server"> <h2>You have selected Row: (<asp:Label ID="Label1" runat="server" />)</h2> <asp:HiddenField ID="hfCurrentRowIndex" runat="server"></asp:HiddenField> <asp:HiddenField ID="hfParentContainer" runat="server"></asp:HiddenField> <asp:Button ID="Button1" runat="server" onclick="Button1_Click" Text="Trigger Postback" /> <asp:GridView ID="grdCustomer" runat="server" AutoGenerateColumns="false" onrowdatabound="grdCustomer_RowDataBound"> <Columns> <asp:BoundField DataField="Company" HeaderText="Company" /> <asp:BoundField DataField="Name" HeaderText="Name" /> <asp:BoundField DataField="Title" HeaderText="Title" /> <asp:BoundField DataField="Address" HeaderText="Address" /> </Columns> </asp:GridView> </asp:Content>   Note: Since the action is done at the client-side, when we do a postback like (clicking on a button) the page will be re-created and you will lose the highlighted row. This is normal because the the server doesn't know anything about the client/browser not unless if you do something to notify the server that something has changed. To persist the settings we will use some HiddenFields control to store the data so that when it postback we can reference the value from there. Now here’s the JavaScript functions below: <asp:content id="Content1" runat="server" contentplaceholderid="HeadContent"> <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.4/jquery.min.js" type="text/javascript"></script> <script type="text/javascript">       var prevRowIndex;       function ChangeRowColor(row, rowIndex) {           var parent = document.getElementById(row);           var currentRowIndex = parseInt(rowIndex) + 1;                 if (prevRowIndex == currentRowIndex) {               return;           }           else if (prevRowIndex != null) {               parent.rows[prevRowIndex].style.backgroundColor = "#FFFFFF";           }                 parent.rows[currentRowIndex].style.backgroundColor = "#FFFFD6";                 prevRowIndex = currentRowIndex;                 $('#<%= Label1.ClientID %>').text(currentRowIndex);                 $('#<%= hfParentContainer.ClientID %>').val(row);           $('#<%= hfCurrentRowIndex.ClientID %>').val(rowIndex);       }             $(function () {           RetainSelectedRow();       });             function RetainSelectedRow() {           var parent = $('#<%= hfParentContainer.ClientID %>').val();           var currentIndex = $('#<%= hfCurrentRowIndex.ClientID %>').val();           if (parent != null) {               ChangeRowColor(parent, currentIndex);           }       }          </script> </asp:content>   The ChangeRowColor() is the function that sets the background color of the selected row. It is also where we set the previous row and rowIndex values in HiddenFields.  The $(function(){}); is a short-hand for the jQuery document.ready function. This function will be fired once the page is posted back to the server that’s why we call the function RetainSelectedRow(). The RetainSelectedRow() function is where we referenced the current selected values stored from the HiddenFields and pass these values to the ChangeRowColor) function to retain the highlighted row. Finally, here’s the code behind part: protected void grdCustomer_RowDataBound(object sender, GridViewRowEventArgs e) { if (e.Row.RowType == DataControlRowType.DataRow) { e.Row.Attributes.Add("onclick", string.Format("ChangeRowColor('{0}','{1}');", e.Row.ClientID, e.Row.RowIndex)); } } The code above is responsible for attaching the javascript onclick event for each row and call the ChangeRowColor() function and passing the e.Row.ClientID and e.Row.RowIndex to the function. Here’s the sample output below:   That’s it! I hope someone find this post useful! Technorati Tags: jQuery,GridView,JavaScript,TipTricks

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  • RPi and Java Embedded GPIO: Big Data and Java Technology

    - by hinkmond
    Java Embedded and Big Data go hand-in-hand, especially as demonstrated by prototyping on a Raspberry Pi to show how well the Java Embedded platform can perform on a small embedded device which then becomes the proof-of-concept for industrial controllers, medical equipment, networking gear or any type of sensor-connected device generating large amounts of data. The key is a fast and reliable way to access that data using Java technology. In the previous blog posts you've seen the integration of a static electricity sensor and the Raspberry Pi through the GPIO port, then accessing that data through Java Embedded code. It's important to point out how this works and why it works well with Java code. First, the version of Linux (Debian Wheezy/Raspian) that is found on the RPi has a very convenient way to access the GPIO ports through the use of Linux OS managed file handles. This is key in avoiding terrible and complex coding using register manipulation in C code, or having to program in a less elegant and clumsy procedural scripting language such as python. Instead, using Java Embedded, allows a fast way to access those GPIO ports through those same Linux file handles. Java already has a very easy to program way to access file handles with a high degree of performance that matches direct access of those file handles with the Linux OS. Using the Java API java.io.FileWriter lets us open the same file handles that the Linux OS has for accessing the GPIO ports. Then, by first resetting the ports using the unexport and export file handles, we can initialize them for easy use in a Java app. // Open file handles to GPIO port unexport and export controls FileWriter unexportFile = new FileWriter("/sys/class/gpio/unexport"); FileWriter exportFile = new FileWriter("/sys/class/gpio/export"); ... // Reset the port unexportFile.write(gpioChannel); unexportFile.flush(); // Set the port for use exportFile.write(gpioChannel); exportFile.flush(); Then, another set of file handles can be used by the Java app to control the direction of the GPIO port by writing either "in" or "out" to the direction file handle. // Open file handle to input/output direction control of port FileWriter directionFile = new FileWriter("/sys/class/gpio/gpio" + gpioChannel + "/direction"); // Set port for input directionFile.write("in"); // Or, use "out" for output directionFile.flush(); And, finally, a RandomAccessFile handle can be used with a high degree of performance on par with native C code (only milliseconds to read in data and write out data) with low overhead (unlike python) to manipulate the data going in and out on the GPIO port, while the object-oriented nature of Java programming allows for an easy way to construct complex analytic software around that data access functionality to the external world. RandomAccessFile[] raf = new RandomAccessFile[GpioChannels.length]; ... // Reset file seek pointer to read latest value of GPIO port raf[channum].seek(0); raf[channum].read(inBytes); inLine = new String(inBytes); It's Big Data from sensors and industrial/medical/networking equipment meeting complex analytical software on a small constraint device (like a Linux/ARM RPi) where Java Embedded allows you to shine as an Embedded Device Software Designer. Hinkmond

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  • Crime Scene Investigation: SQL Server

    - by Rodney Landrum
    “The packages are running slower in Prod than they are in Dev” My week began with this simple declaration from one of our lead BI developers, quickly followed by an emailed spreadsheet demonstrating that, over 5 executions, an extensive ETL process was running average 630 seconds faster on Dev than on Prod. The situation needed some scientific investigation to determine why the same code, the same data, the same schema would yield consistently slower results on a more powerful server. Prod had yet to be officially christened with a “Go Live” date so I had the time, and having recently been binge watching CSI: New York, I also had the inclination. An inspection of the two systems, Prod and Dev, revealed the first surprise: although Prod was indeed a “bigger” system, with double the amount of RAM of Dev, the latter actually had twice as many processor cores. On neither system did I see much sign of resources being heavily taxed, while the ETL process was running. Without any real supporting evidence, I jumped to a conclusion that my years of performance tuning should have helped me avoid, and that was that the hardware differences explained the better performance on Dev. We spent time setting up a Test system, similarly scoped to Prod except with 4 times the cores, and ported everything across. The results of our careful benchmarks left us truly bemused; the ETL process on the new server was slower than on both other systems. We burned more time tweaking server configurations, monitoring IO and network latency, several times believing we’d uncovered the smoking gun, until the results of subsequent test runs pitched us back into confusion. Finally, I decided, enough was enough. Hadn’t I learned very early in my DBA career that almost all bottlenecks were caused by code and database design, not hardware? It was time to get back to basics. With over 100 SSIS packages and hundreds of queries, each handling specific tasks such as file loads, bulk inserts, transforms, logging, and so on, the task seemed formidable. And yet, after barely an hour spent with Profiler, Extended Events, and wait statistics DMVs, I had a lead in the shape of a query that joined three tables, containing millions of rows, returned 3279 results, but performed 239K logical reads. As soon as I looked at the execution plans for the query in Dev and Test I saw the culprit, an implicit conversion warning on a join predicate field that was numeric in one table and a varchar(50) in another! I turned this information over to the BI developers who quickly resolved the data type mismatches and found and fixed “several” others as well. After the schema changes the same query with the same databases ran in under 1 second on all systems and reduced the logical reads down to fewer than 300. The analysis also revealed that on Dev, the ETL task was pulling data across a LAN, whereas Prod and Test were connected across slower WAN, in large part explaining why the same process ran slower on the latter two systems. Loading the data locally on Prod delivered a further 20% gain in performance. As we progress through our DBA careers we learn valuable lessons. Sometimes, with a project deadline looming and pressure mounting, we choose to forget them. I was close to giving into the temptation to throw more hardware at the problem. I’m pleased at least that I resisted, though I still kick myself for not looking at the code on day one. It can seem a daunting prospect to return to the fundamentals of the code so close to roll out, but with the right tools, and surprisingly little time, you can collect the evidence that reveals the true problem. It is a lesson I trust I will remember for my next 20 years as a DBA, if I’m ever again tempted to bypass the evidence.

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  • MERGE gives better OUTPUT options

    - by Rob Farley
    MERGE is very cool. There are a ton of useful things about it – mostly around the fact that you can implement a ton of change against a table all at once. This is great for data warehousing, handling changes made to relational databases by applications, all kinds of things. One of the more subtle things about MERGE is the power of the OUTPUT clause. Useful for logging.   If you’re not familiar with the OUTPUT clause, you really should be – it basically makes your DML (INSERT/DELETE/UPDATE/MERGE) statement return data back to you. This is a great way of returning identity values from INSERT commands (so much better than SCOPE_IDENTITY() or the older (and worse) @@IDENTITY, because you can get lots of rows back). You can even use it to grab default values that are set using non-deterministic functions like NEWID() – things you couldn’t normally get back without running another query (or with a trigger, I guess, but that’s not pretty). That inserted table I referenced – that’s part of the ‘behind-the-scenes’ work that goes on with all DML changes. When you insert data, this internal table called inserted gets populated with rows, and then used to inflict the appropriate inserts on the various structures that store data (HoBTs – the Heaps or B-Trees used to store data as tables and indexes). When deleting, the deleted table gets populated. Updates get a matching row in both tables (although this doesn’t mean that an update is a delete followed by an inserted, it’s just the way it’s handled with these tables). These tables can be referenced by the OUTPUT clause, which can show you the before and after for any DML statement. Useful stuff. MERGE is slightly different though. With MERGE, you get a mix of entries. Your MERGE statement might be doing some INSERTs, some UPDATEs and some DELETEs. One of the most common examples of MERGE is to perform an UPSERT command, where data is updated if it already exists, or inserted if it’s new. And in a single operation too. Here, you can see the usefulness of the deleted and inserted tables, which clearly reflect the type of operation (but then again, MERGE lets you use an extra column called $action to show this). (Don’t worry about the fact that I turned on IDENTITY_INSERT, that’s just so that I could insert the values) One of the things I love about MERGE is that it feels almost cursor-like – the UPDATE bit feels like “WHERE CURRENT OF …”, and the INSERT bit feels like a single-row insert. And it is – but into the inserted and deleted tables. The operations to maintain the HoBTs are still done using the whole set of changes, which is very cool. And $action – very convenient. But as cool as $action is, that’s not the point of my post. If it were, I hope you’d all be disappointed, as you can’t really go near the MERGE statement without learning about it. The subtle thing that I love about MERGE with OUTPUT is that you can hook into more than just inserted and deleted. Did you notice in my earlier query that my source table had a ‘src’ field, that wasn’t used in the insert? Normally, this would be somewhat pointless to include in my source query. But with MERGE, I can put that in the OUTPUT clause. This is useful stuff, particularly when you’re needing to audit the changes. Suppose your query involved consolidating data from a number of sources, but you didn’t need to insert that into the actual table, just into a table for audit. This is now very doable, either using the INTO clause of OUTPUT, or surrounding the whole MERGE statement in brackets (parentheses if you’re American) and using a regular INSERT statement. This is also doable if you’re using MERGE to just do INSERTs. In case you hadn’t realised, you can use MERGE in place of an INSERT statement. It’s just like the UPSERT-style statement we’ve just seen, except that we want nothing to match. That’s easy to do, we just use ON 1=2. This is obviously more convoluted than a straight INSERT. And it’s slightly more effort for the database engine too. But, if you want the extra audit capabilities, the ability to hook into the other source columns is definitely useful. Oh, and before people ask if you can also hook into the target table’s columns... Yes, of course. That’s what deleted and inserted give you.

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  • Get to Know a Candidate (3 of 25): Virgil Goode&ndash;Constitution Party

    - by Brian Lanham
    DISCLAIMER: This is not a post about “Romney” or “Obama”. This is not a post for whom I am voting. Information sourced for Wikipedia. Meet Virgil Goode of the Constitution Party Goode was served as a Republican member of the United States House of Representatives from 1997 to 2009. He represented the 5th congressional district of Virginia. Goode was born in Richmond, Virginia, the son of Alice Clara (née Besecker) and Virgil Hamlin Goode. He has spent most of his life in Rocky Mount. Goode graduated with a B.A. from the University of Richmond (Phi Beta Kappa) and with a J.D. from the University of Virginia School of Law. He also is a member of Lambda Chi Alpha Fraternity and served in the Army National Guard from 1969 to 1975. Goode grew up as a Democrat. He entered politics soon after graduating from law school. At the age of 27, he won a special election to the state Senate from a Southside district as an independent after the death of the Democratic incumbent. One of his major campaign focuses at the time was advocacy for the Equal Rights Amendment. Soon after being elected, he joined the Democrats. Goode wore his party ties very loosely. He became famous for his support of the tobacco industry, expressing his fear that "his elderly mother would be denied 'the one last pleasure' of smoking a cigarette on her hospital deathbed." He was an ardent defender of gun rights while being an enthusiastic supporter of L. Douglas Wilder, who later became the first elected black governor in the history of the United States. At the Democratic Party's state political convention in 1985, Goode nominated Wilder for lieutenant governor. However, while governor, Wilder cracked down on the sale of guns in the state. After the 1995 elections resulted in a 20–20 split between Democrats and Republicans in the State Senate, Goode seriously considered voting with the Republicans on organizing the chamber. Had he done so, the State Senate would have been under Republican control for the first time since Reconstruction (the Republicans ultimately won control outright in 1999). Goode's actions at the time "forced his party to share power with Republican lawmakers in the state legislature," which further upset the Democratic Party. Goode is on the ballot in CA, FL, ID, IO, LA, MI, MN, MS, MI, NJ, NM, NY, NV, ND, OH, SC, SD, TN, UT, VA, WA, WI, WY.  He is a write-in candidate in CA, CT, DC, GA, IL, IN, ME, MD, MA, MO, NC, TX, VT, WV Constitution Party This party was founded as the “U.S. Taxpayers’ Party” and considers itself conservative. The party's platform is predicated on the principles of the nation's founding documents. The party puts a large focus on immigration, calling for stricter penalties towards illegal immigrants and a moratorium on legal immigration until all federal subsidies to immigrants are discontinued.The party absorbed the American Independent Party, originally founded for George Wallace's 1968 presidential campaign. The American Independent Party of California has been an affiliate of the Constitution Party since its founding; however, current party leadership is disputed and the issue is in court to resolve this conflict. The Constitution Party has some substantial support from the Christian Right and in 2010 achieved major party status in Colorado. Learn more about Virgil Goode and Constitution Party on Wikipedia.

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  • Simple Merging Of PDF Documents with iTextSharp 5.4.5.0

    - by Mladen Prajdic
    As we were working on our first SQL Saturday in Slovenia, we came to a point when we had to print out the so-called SpeedPASS's for attendees. This SpeedPASS file is a PDF and contains thier raffle, lunch and admission tickets. The problem is we have to download one PDF per attendee and print that out. And printing more than 10 docs at once is a pain. So I decided to make a little console app that would merge multiple PDF files into a single file that would be much easier to print. I used an open source PDF manipulation library called iTextSharp version 5.4.5.0 This is a console program I used. It’s brilliantly named MergeSpeedPASS. It only has two methods and is really short. Don't let the name fool you It can be used to merge any PDF files. The first parameter is the name of the target PDF file that will be created. The second parameter is the directory containing PDF files to be merged into a single file. using iTextSharp.text; using iTextSharp.text.pdf; using System; using System.IO; namespace MergeSpeedPASS { class Program { static void Main(string[] args) { if (args.Length == 0 || args[0] == "-h" || args[0] == "/h") { Console.WriteLine("Welcome to MergeSpeedPASS. Created by Mladen Prajdic. Uses iTextSharp 5.4.5.0."); Console.WriteLine("Tool to create a single SpeedPASS PDF from all downloaded generated PDFs."); Console.WriteLine(""); Console.WriteLine("Example: MergeSpeedPASS.exe targetFileName sourceDir"); Console.WriteLine(" targetFileName = name of the new merged PDF file. Must include .pdf extension."); Console.WriteLine(" sourceDir = path to the dir containing downloaded attendee SpeedPASS PDFs"); Console.WriteLine(""); Console.WriteLine(@"Example: MergeSpeedPASS.exe MergedSpeedPASS.pdf d:\Downloads\SQLSaturdaySpeedPASSFiles"); } else if (args.Length == 2) CreateMergedPDF(args[0], args[1]); Console.WriteLine(""); Console.WriteLine("Press any key to exit..."); Console.Read(); } static void CreateMergedPDF(string targetPDF, string sourceDir) { using (FileStream stream = new FileStream(targetPDF, FileMode.Create)) { Document pdfDoc = new Document(PageSize.A4); PdfCopy pdf = new PdfCopy(pdfDoc, stream); pdfDoc.Open(); var files = Directory.GetFiles(sourceDir); Console.WriteLine("Merging files count: " + files.Length); int i = 1; foreach (string file in files) { Console.WriteLine(i + ". Adding: " + file); pdf.AddDocument(new PdfReader(file)); i++; } if (pdfDoc != null) pdfDoc.Close(); Console.WriteLine("SpeedPASS PDF merge complete."); } } } } Hope it helps you and have fun.

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  • Business Case for investing time developing Stubs and BizUnit Tests

    - by charlie.mott
    I was recently in a position where I had to justify why effort should be spent developing Stubbed Integration Tests for BizTalk solutions. These tests are usually developed using the BizUnit framework. I assumed that most seasoned BizTalk developers would consider this best practice. Even though Microsoft suggest use of BizUnit on MSDN, I've not found a single site listing the justifications for investing time writing stubs and BizUnit tests. Stubs Stubs should be developed to isolate your development team from external dependencies. This is described by Michael Stephenson here. Failing to do this can result in the following problems: In contract-first scenarios, the external system interface will have been defined.  But the interface may not have been setup or even developed yet for the BizTalk developers to work with. By the time you open the target location to see the data BizTalk has sent, it may have been swept away. If you are relying on the UI of the target system to see the data BizTalk has sent, what do you do if it fails to arrive? It may take time for the data to be processed or it may be scheduled to be processed later. Learning how to use the source\target systems and investigations into where things go wrong in these systems will slow down the BizTalk development effort. By the time the data is visible in a UI it may have undergone further transformations. In larger development teams working together, do you all use the same source and target instances. How do you know which data was created by whose tests? How do you know which event log error message are whose?  Another developer may have “cleaned up” your data. It is harder to write BizUnit tests that clean up the data\logs after each test run. What if your B2B partners' source or target system cannot support the sort of testing you want to do. They may not even have a development or test instance that you can work with. Their single test instance may be used by the SIT\UAT teams. There may be licencing costs of setting up an instances of the external system. The stubs I like to use are generic stubs that can accept\return any message type.  Usually I need to create one per protocol. They should be driven by BizUnit steps to: validates the data received; and select a response messages (or error response). Once built, they can be re-used for many integration tests and from project to project. I’m not saying that developers should never test against a real instance.  Every so often, you still need to connect to real developer or test instances of the source and target endpoints\services. The interface developers may ask you to send them some data to see if everything still works.  Or you might want some messages sent to BizTalk to get confidence that everything still works beyond BizTalk. Tests Automated “Stubbed Integration Tests” are usually built using the BizUnit framework. These facilitate testing of the entire integration process from source stub to target stub. It will ensure that all of the BizTalk components are configured together correctly to meet all the requirements. More fine grained unit testing of individual BizTalk components is still encouraged.  But BizUnit provides much the easiest way to test some components types (e.g. Orchestrations). Using BizUnit with the Behaviour Driven Development approach described by Mike Stephenson delivers the following benefits: source: http://biztalkbddsample.codeplex.com – Video 1. Requirements can be easily defined using Given/When/Then Requirements are close to the code so easier to manage as features and scenarios Requirements are defined in domain language The feature files can be used as part of the documentation The documentation is accurate to the build of code and can be published with a release The scenarios are effective to document the scenarios and are not over excessive The scenarios are maintained with the code There’s an abstraction between the intention and implementation of tests making them easier to understand The requirements drive the testing These same tests can also be used to drive load testing as described here. If you don't do this ... If you don't follow the above “Stubbed Integration Tests” approach, the developer will need to manually trigger the tests. This has the following risks: Developers are unlikely to check all the scenarios each time and all the expected conditions each time. After the developer leaves, these manual test steps may be lost. What test scenarios are there?  What test messages did they use for each scenario? There is no mechanism to prove adequate test coverage. A test team may attempt to automate integration test scenarios in a test environment through the triggering of tests from a source system UI. If this is a replacement for BizUnit tests, then this carries the following risks: It moves the tests downstream, so problems will be found later in the process. Testers may not check all the expected conditions within the BizTalk infrastructure such as: event logs, suspended messages, etc. These automated tests may also get in the way of manual tests run on these environments.

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  • JPRT: A Build & Test System

    - by kto
    DRAFT A while back I did a little blogging on a system called JPRT, the hardware used and a summary on my java.net weblog. This is an update on the JPRT system. JPRT ("JDK Putback Reliablity Testing", but ignore what the letters stand for, I change what they mean every day, just to annoy people :\^) is a build and test system for the JDK, or any source base that has been configured for JPRT. As I mentioned in the above blog, JPRT is a major modification to a system called PRT that the HotSpot VM development team has been using for many years, very successfully I might add. Keeping the source base always buildable and reliable is the first step in the 12 steps of dealing with your product quality... or was the 12 steps from Alcoholics Anonymous... oh well, anyway, it's the first of many steps. ;\^) Internally when we make changes to any part of the JDK, there are certain procedures we are required to perform prior to any putback or commit of the changes. The procedures often vary from team to team, depending on many factors, such as whether native code is changed, or if the change could impact other areas of the JDK. But a common requirement is a verification that the source base with the changes (and merged with the very latest source base) will build on many of not all 8 platforms, and a full 'from scratch' build, not an incremental build, which can hide full build problems. The testing needed varies, depending on what has been changed. Anyone that was worked on a project where multiple engineers or groups are submitting changes to a shared source base knows how disruptive a 'bad commit' can be on everyone. How many times have you heard: "So And So made a bunch of changes and now I can't build!". But multiply the number of platforms by 8, and make all the platforms old and antiquated OS versions with bizarre system setup requirements and you have a pretty complicated situation (see http://download.java.net/jdk6/docs/build/README-builds.html). We don't tolerate bad commits, but our enforcement is somewhat lacking, usually it's an 'after the fact' correction. Luckily the Source Code Management system we use (another antique called TeamWare) allows for a tree of repositories and 'bad commits' are usually isolated to a small team. Punishment to date has been pretty drastic, the Queen of Hearts in 'Alice in Wonderland' said 'Off With Their Heads', well trust me, you don't want to be the engineer doing a 'bad commit' to the JDK. With JPRT, hopefully this will become a thing of the past, not that we have had many 'bad commits' to the master source base, in general the teams doing the integrations know how important their jobs are and they rarely make 'bad commits'. So for these JDK integrators, maybe what JPRT does is keep them from chewing their finger nails at night. ;\^) Over the years each of the teams have accumulated sets of machines they use for building, or they use some of the shared machines available to all of us. But the hunt for build machines is just part of the job, or has been. And although the issues with consistency of the build machines hasn't been a horrible problem, often you never know if the Solaris build machine you are using has all the right patches, or if the Linux machine has the right service pack, or if the Windows machine has it's latest updates. Hopefully the JPRT system can solve this problem. When we ship the binary JDK bits, it is SO very important that the build machines are correct, and we know how difficult it is to get them setup. Sure, if you need to debug a JDK problem that only shows up on Windows XP or Solaris 9, you'll still need to hunt down a machine, but not as a regular everyday occurance. I'm a big fan of a regular nightly build and test system, constantly verifying that a source base builds and tests out. There are many examples of automated build/tests, some that trigger on any change to the source base, some that just run every night. Some provide a protection gateway to the 'golden' source base which only gets changes that the nightly process has verified are good. The JPRT (and PRT) system is meant to guard the source base before anything is sent to it, guarding all source bases from the evil developer, well maybe 'evil' isn't the right word, I haven't met many 'evil' developers, more like 'error prone' developers. ;\^) Humm, come to think about it, I may be one from time to time. :\^{ But the point is that by spreading the build up over a set of machines, and getting the turnaround down to under an hour, it becomes realistic to completely build on all platforms and test it, on every putback. We have the technology, we can build and rebuild and rebuild, and it will be better than it was before, ha ha... Anybody remember the Six Million Dollar Man? Man, I gotta get out more often.. Anyway, now the nightly build and test can become a 'fetch the latest JPRT build bits' and start extensive testing (the testing not done by JPRT, or the platforms not tested by JPRT). Is it Open Source? No, not yet. Would you like to be? Let me know. Or is it more important that you have the ability to use such a system for JDK changes? So enough blabbering on about this JPRT system, tell me what you think. And let me know if you want to hear more about it or not. Stay tuned for the next episode, same Bloody Bat time, same Bloody Bat channel. ;\^) -kto

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  • Cloud to On-Premise Connectivity Patterns

    - by Rajesh Raheja
    Do you have a requirement to convert an Opportunity in Salesforce.com to an Order/Quote in Oracle E-Business Suite? Or maybe you want the creation of an Oracle RightNow Incident to trigger an on-premise Oracle E-Business Suite Service Request creation for RMA and Field Scheduling? If so, read on. In a previous blog post, I discussed integrating TO cloud applications, however the use cases above are the reverse i.e. receiving data FROM cloud applications (SaaS) TO on-premise applications/databases that sit behind a firewall. Oracle SOA Suite is assumed to be on-premise with with Oracle Service Bus as the mediation and virtualization layer. The main considerations for the patterns are are security i.e. shielding enterprise resources; and scalability i.e. minimizing firewall latency. Let me use an analogy to help visualize the patterns: the on-premise system is your home - with your most valuable possessions - and the SaaS app is your favorite on-line store which regularly ships (inbound calls) various types of parcels/items (message types/service operations). You need the items at home (on-premise) but want to safe guard against misguided elements of society (internet threats) who may masquerade as postal workers and vandalize property (denial of service?). Let's look at the patterns. Pattern: Pull from Cloud The on-premise system polls from the SaaS apps and picks up the message instead of having it delivered. This may be done using Oracle RightNow Object Query Language or SOAP APIs. This is particularly suited for certain integration approaches wherein messages are trickling in, can be centralized and batched e.g. retrieving event notifications on an hourly schedule from the Oracle Messaging Service. To compare this pattern with the home analogy, you are avoiding any deliveries to your home and instead go to the post office/UPS/Fedex store to pick up your parcel. Every time. Pros: On-premise assets not exposed to the Internet, firewall issues avoided by only initiating outbound connections Cons: Polling mechanisms may affect performance, may not satisfy near real-time requirements Pattern: Open Firewall Ports The on-premise system exposes the web services that needs to be invoked by the cloud application. This requires opening up firewall ports, routing calls to the appropriate internal services behind the firewall. Fusion Applications uses this pattern, and auto-provisions the services on the various virtual hosts to secure the topology. This works well for service integration, but may not suffice for large volume data integration. Using the home analogy, you have now decided to receive parcels instead of going to the post office every time. A door mail slot cut out allows the postman can drop small parcels, but there is still concern about cutting new holes for larger packages. Pros: optimal pattern for near real-time needs, simpler administration once the service is provisioned Cons: Needs firewall ports to be opened up for new services, may not suffice for batch integration requiring direct database access Pattern: Virtual Private Networking The on-premise network is "extended" to the cloud (or an intermediary on-demand / managed service offering) using Virtual Private Networking (VPN) so that messages are delivered to the on-premise system in a trusted channel. Using the home analogy, you entrust a set of keys with a neighbor or property manager who receives the packages, and then drops it inside your home. Pros: Individual firewall ports don't need to be opened, more suited for high scalability needs, can support large volume data integration, easier management of one connection vs a multitude of open ports Cons: VPN setup, specific hardware support, requires cloud provider to support virtual private computing Pattern: Reverse Proxy / API Gateway The on-premise system uses a reverse proxy "API gateway" software on the DMZ to receive messages. The reverse proxy can be implemented using various mechanisms e.g. Oracle API Gateway provides firewall and proxy services along with comprehensive security, auditing, throttling benefits. If a firewall already exists, then Oracle Service Bus or Oracle HTTP Server virtual hosts can provide reverse proxy implementations on the DMZ. Custom built implementations are also possible if specific functionality (such as message store-n-forward) is needed. In the home analogy, this pattern sits in between cutting mail slots and handing over keys. Instead, you install (and maintain) a mailbox in your home premises outside your door. The post office delivers the parcels in your mailbox, from where you can securely retrieve it. Pros: Very secure, very flexible Cons: Introduces a new software component, needs DMZ deployment and management Pattern: On-Premise Agent (Tunneling) A light weight "agent" software sits behind the firewall and initiates the communication with the cloud, thereby avoiding firewall issues. It then maintains a bi-directional connection either with pull or push based approaches using (or abusing, depending on your viewpoint) the HTTP protocol. Programming protocols such as Comet, WebSockets, HTTP CONNECT, HTTP SSH Tunneling etc. are possible implementation options. In the home analogy, a resident receives the parcel from the postal worker by opening the door, however you still take precautions with chain locks and package inspections. Pros: Light weight software, IT doesn't need to setup anything Cons: May bypass critical firewall checks e.g. virus scans, separate software download, proliferation of non-IT managed software Conclusion The patterns above are some of the most commonly encountered ones for cloud to on-premise integration. Selecting the right pattern for your project involves looking at your scalability needs, security restrictions, sync vs asynchronous implementation, near real-time vs batch expectations, cloud provider capabilities, budget, and more. In some cases, the basic "Pull from Cloud" may be acceptable, whereas in others, an extensive VPN topology may be well justified. For more details on the Oracle cloud integration strategy, download this white paper.

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  • Cloud to On-Premise Connectivity Patterns

    - by Rajesh Raheja
    Do you have a requirement to convert an Opportunity in Salesforce.com to an Order/Quote in Oracle E-Business Suite? Or maybe you want the creation of an Oracle RightNow Incident to trigger an on-premise Oracle E-Business Suite Service Request creation for RMA and Field Scheduling? If so, read on. In a previous blog post, I discussed integrating TO cloud applications, however the use cases above are the reverse i.e. receiving data FROM cloud applications (SaaS) TO on-premise applications/databases that sit behind a firewall. Oracle SOA Suite is assumed to be on-premise with with Oracle Service Bus as the mediation and virtualization layer. The main considerations for the patterns are are security i.e. shielding enterprise resources; and scalability i.e. minimizing firewall latency. Let me use an analogy to help visualize the patterns: the on-premise system is your home - with your most valuable possessions - and the SaaS app is your favorite on-line store which regularly ships (inbound calls) various types of parcels/items (message types/service operations). You need the items at home (on-premise) but want to safe guard against misguided elements of society (internet threats) who may masquerade as postal workers and vandalize property (denial of service?). Let's look at the patterns. Pattern: Pull from Cloud The on-premise system polls from the SaaS apps and picks up the message instead of having it delivered. This may be done using Oracle RightNow Object Query Language or SOAP APIs. This is particularly suited for certain integration approaches wherein messages are trickling in, can be centralized and batched e.g. retrieving event notifications on an hourly schedule from the Oracle Messaging Service. To compare this pattern with the home analogy, you are avoiding any deliveries to your home and instead go to the post office/UPS/Fedex store to pick up your parcel. Every time. Pros: On-premise assets not exposed to the Internet, firewall issues avoided by only initiating outbound connections Cons: Polling mechanisms may affect performance, may not satisfy near real-time requirements Pattern: Open Firewall Ports The on-premise system exposes the web services that needs to be invoked by the cloud application. This requires opening up firewall ports, routing calls to the appropriate internal services behind the firewall. Fusion Applications uses this pattern, and auto-provisions the services on the various virtual hosts to secure the topology. This works well for service integration, but may not suffice for large volume data integration. Using the home analogy, you have now decided to receive parcels instead of going to the post office every time. A door mail slot cut out allows the postman can drop small parcels, but there is still concern about cutting new holes for larger packages. Pros: optimal pattern for near real-time needs, simpler administration once the service is provisioned Cons: Needs firewall ports to be opened up for new services, may not suffice for batch integration requiring direct database access Pattern: Virtual Private Networking The on-premise network is "extended" to the cloud (or an intermediary on-demand / managed service offering) using Virtual Private Networking (VPN) so that messages are delivered to the on-premise system in a trusted channel. Using the home analogy, you entrust a set of keys with a neighbor or property manager who receives the packages, and then drops it inside your home. Pros: Individual firewall ports don't need to be opened, more suited for high scalability needs, can support large volume data integration, easier management of one connection vs a multitude of open ports Cons: VPN setup, specific hardware support, requires cloud provider to support virtual private computing Pattern: Reverse Proxy / API Gateway The on-premise system uses a reverse proxy "API gateway" software on the DMZ to receive messages. The reverse proxy can be implemented using various mechanisms e.g. Oracle API Gateway provides firewall and proxy services along with comprehensive security, auditing, throttling benefits. If a firewall already exists, then Oracle Service Bus or Oracle HTTP Server virtual hosts can provide reverse proxy implementations on the DMZ. Custom built implementations are also possible if specific functionality (such as message store-n-forward) is needed. In the home analogy, this pattern sits in between cutting mail slots and handing over keys. Instead, you install (and maintain) a mailbox in your home premises outside your door. The post office delivers the parcels in your mailbox, from where you can securely retrieve it. Pros: Very secure, very flexible Cons: Introduces a new software component, needs DMZ deployment and management Pattern: On-Premise Agent (Tunneling) A light weight "agent" software sits behind the firewall and initiates the communication with the cloud, thereby avoiding firewall issues. It then maintains a bi-directional connection either with pull or push based approaches using (or abusing, depending on your viewpoint) the HTTP protocol. Programming protocols such as Comet, WebSockets, HTTP CONNECT, HTTP SSH Tunneling etc. are possible implementation options. In the home analogy, a resident receives the parcel from the postal worker by opening the door, however you still take precautions with chain locks and package inspections. Pros: Light weight software, IT doesn't need to setup anything Cons: May bypass critical firewall checks e.g. virus scans, separate software download, proliferation of non-IT managed software Conclusion The patterns above are some of the most commonly encountered ones for cloud to on-premise integration. Selecting the right pattern for your project involves looking at your scalability needs, security restrictions, sync vs asynchronous implementation, near real-time vs batch expectations, cloud provider capabilities, budget, and more. In some cases, the basic "Pull from Cloud" may be acceptable, whereas in others, an extensive VPN topology may be well justified. For more details on the Oracle cloud integration strategy, download this white paper.

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  • Context is Everything

    - by Angus Graham
    Normal 0 false false false EN-CA X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Context is Everything How many times have you have you asked a question only to hear an answer like “Well, it depends. What exactly are you trying to do?”.  There are times that raw information can’t tell us what we need to know without putting it in a larger context. Let's take a real world example.  If I'm a maintenance planner trying to figure out which assets should be replaced during my next maintenance window, I'm going to go to my Asset Management System.  I can get it to spit out a list of assets that have failed several times over the last year.  But what are these assets connected to?  Is there any safety consequences to shutting off this pipeline to do the work?  Is some other work that's planned going to conflict with replacing this asset?  Several of these questions can't be answered by simply spitting out a list of asset IDs.  The maintenance planner will have to reference a diagram of the plant to answer several of these questions. This is precisely the idea behind Augmented Business Visualization. An Augmented Business Visualization (ABV) solution is one where your structured data (enterprise application data) and your unstructured data (documents, contracts, floor plans, designs, etc.) come together to allow you to make better decisions.  Essentially we're showing your business data into its context. AutoVue allows you to create ABV solutions by integrating your enterprise application with AutoVue’s hotspot framework. Hotspots can be defined for your document. Users can click these hotspots to trigger actions in your enterprise app. Similarly, the enterprise app can highlight the hotspots in your document based on its business data, creating a visual dashboard of your business data in the context of your document. ABV is not new. We introduced the hotspot framework in AutoVue 20.1 with text hotspots. Any text in a PDF or 2D CAD drawing could be turned into a hotspot. In 20.2 we have enhanced this to include 2 new types of hotspots: 3D and regional hotspots. 3D hotspots allow you to turn 3D parts into hotspots. Hotspots can be defined based on the attributes of the part, so you can create hotspots based on part numbers, material, date of delivery, etc.  Regional hotspots allow an administrator to define rectangular regions on any PDF, image, or 2D CAD drawing. This is perfect for cases where the document you’re using either doesn’t have text in it (a JPG or TIFF for example) or if you want to define hotspots that don’t correspond to the text in the document. There are lots of possible uses for AutoVue hotspots.  A great demonstration of how our hotspot capabilities can help add context to enterprise data in the Energy sector can be found in the following AutoVue movies: Maintenance Planning in the Energy Sector - Watch it Now Capital Construction Project Management in the Energy Sector  -  Watch it Now Commissioning and Handover Process for the Energy Sector  -  Watch it Now

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