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  • OWB 11gR2 &ndash; Degenerate Dimensions

    - by David Allan
    Ever wondered how to build degenerate dimensions in OWB and get the benefits of slowly changing dimensions and cube loading? Now its possible through some changes in 11gR2 to make the dimension and cube loading much more flexible. This will let you get the benefits of OWB's surrogate key handling and slowly changing dimension reference when loading the fact table and need degenerate dimensions (see Ralph Kimball's degenerate dimensions design tip). Here we will see how to use the cube operator to load slowly changing, regular and degenerate dimensions. The cube and cube operator can now work with dimensions which have no surrogate key as well as dimensions with surrogates, so you can get the benefit of the cube loading and incorporate the degenerate dimension loading. What you need to do is create a dimension in OWB that is purely used for ETL metadata; the dimension itself is never deployed (its table is, but has not data) it has no surrogate keys has a single level with a business attribute the degenerate dimension data and a dummy attribute, say description just to pass the OWB validation. When this degenerate dimension is added into a cube, you will need to configure the fact table created and set the 'Deployable' flag to FALSE for the foreign key generated to the degenerate dimension table. The degenerate dimension reference will then be in the cube operator and used when matching. Create the degenerate dimension using the regular wizard. Delete the Surrogate ID attribute, this is not needed. Define a level name for the dimension member (any name). After the wizard has completed, in the editor delete the hierarchy STANDARD that was automatically generated, there is only a single level, no need for a hierarchy and this shouldn't really be created. Deploy the implementing table DD_ORDERNUMBER_TAB, this needs to be deployed but with no data (the mapping here will do a left outer join of the source data with the empty degenerate dimension table). Now, go ahead and build your cube, use the regular TIMES dimension for example and your degenerate dimension DD_ORDERNUMBER, can add in SCD dimensions etc. Configure the fact table created and set Deployable to false, so the foreign key does not get generated. Can now use the cube in a mapping and load data into the fact table via the cube operator, this will look after surrogate lookups and slowly changing dimension references.   If you generate the SQL you will see the ON clause for matching includes the columns representing the degenerate dimension columns. Here we have seen how this use case for loading fact tables using degenerate dimensions becomes a whole lot simpler using OWB 11gR2. I'm sure there are other use cases where using this mix of dimensions with surrogate and regular identifiers is useful, Fact tables partitioned by date columns is another classic example that this will greatly help and make the cube operator much more useful. Good to hear any comments.

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  • OWB 11gR2 - Find and Search Metadata in Designer

    - by David Allan
    Here are some tools and techniques for finding objects, specifically in the design repository. There are ways of navigating and collating objects that are useful for day to day development and build-time usage - this includes features out of the box and utilities constructed on top. There are a variety of techniques to navigate and find objects in the repository, the first 3 are out of the box, the 4th is an expert utility. Navigating by the tree, grouping by project and module - ok if you are aware of the exact module/folder that objects reside in. The structure panel is a useful way of finding parts of an object, especially when large rather than using the canvas. In large scale projects it helps to have accelerators (either find or collections below). Advanced find to search by name - 11gR2 included a find capability specifically for large scale projects. There were improvements in both the tree search and the object editors (including highlighting in mapping for example). So you can now do regular expression based search and quickly navigate to objects within a repository. Collections - logically organize your objects into virtual folders by shortcutting the actual objects. This is useful for a range of things since all the OWB services operate on collections too (export/import, validation, deployment). See the post here for new collection functionality in 11gR2. Reports for searching by type, updated on, updated by etc. Useful for activities such as periodic incremental actions (deploy all mappings changed in the past week). The report style view is useful since I can quickly see who changed what and when. You can see all the audit details for objects within each objects property inspector, but its useful to just get all objects changed today or example, all objects changed since my last build etc. This utility combines both UI extensions via experts and the public views on the repository. In the figure to the right you see the contextual option 'Object Search' which invokes the utility, you can see I have quite a number of modules within my project. Figure out all the potential objects which have been changed is not simple. The utility is an expert which provides this kind of search capability. The utility provides a report of the objects in the design repository which satisfy some filter criteria. The type of criteria includes; objects updated in the last n days optionally filter the objects updated by user filter the user by project and by type (table/mappings etc.) The search dialog appears with these options, you can multi-select the object types, so for example you can select TABLE and MAPPING. Its also possible to search across projects if need be. If you have multiple users using the repository you can define the OWB user name in the 'Updated by' property to restrict the report to just that user also. Finally there is a search name that will be used for some of the options such as building a collection - this name is used for the collection to be built. In the example I have done, I've just searched my project for all process flows and mappings that users have updated in the last 7 days. The results of the query are returned in a table containing the object names, types, full path and audit details. The columns are sort-able, you can sort the results by name, type, path etc. One of the cool things here, is that you can then perform operations on these objects - such as edit them, export single selection or entire results to MDL, create a collection from the results (now you have a saved set of references in the repository, you could do deploy/export etc.), create a deployment script from the results...or even add in your own ideas! You see from this that you can do bulk operations on sets of objects based on search results. So for example selecting the 'Build Collection' option creates a collection with all of the objects from my search, you can subsequently deploy/generate/maintain this collection of objects. Under the hood of the expert if just basic OMB commands from the product and the use of the public views on the design repository. You can see how easy it is to build up macro-like capabilities that will help you do day-to-day as well as build like tasks on sets of objects.

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  • ODI 11g – Scripting Repository Creation

    - by David Allan
    Here’s a quick post on how to create both master and work repositories in one simple dialog, its using the groovy capabilities in ODI 11g and the groovy swing builder components. So if you want more/less take the groovy script and change, its easy stuff. The groovy script odi_create_repos.groovy is here, just open it in ODI before connecting and you will be able to create both master and work repositories with ease – or check the groovy out and script your own automation – you can construct the master, work and runtime repositories, so if you are embedding ODI as your DI engine this may be very useful. When you click ‘Create Repository’ you will see the following in the log as the master repository starts to be created; ====================================================== Repository Creation Started.... ====================================================== Master Repository Creation Started.... Then the completion message followed by the work repository creation and final completion message. Master Repository Creation Completed. Work Repository Creation Started. Work Repository Creation Completed. ====================================================== Repository Creation Completed Successfully ====================================================== Script exited. If any error is hit, the script just exits and prints any error to the log. For example if I enter no passwords, I will get this error; ====================================================== Repository Creation Started.... ====================================================== Master Repository Creation Started.... ====================================================== Repository Creation Complete in Error ====================================================== oracle.odi.setup.RepositorySetupException: oracle.odi.core.security.PasswordPolicyNotMatchedException: ODI-10189: Password policy MinPasswordLength is not matched. ====================================================== Script exited. This is another example of using the ODI 11g SDK showing how to automate the construction of your data integration environment. The main interfaces and classes used here are IMasterRepositorySetup / MasterRepositorySetupImpl and IWorkRepositorySetup / WorkRepositorySetupImpl.

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  • ODI 11g – Scripting Repository Creation

    - by David Allan
    Here’s a quick post on how to create both master and work repositories in one simple dialog, its using the groovy capabilities in ODI 11g and the groovy swing builder components. So if you want more/less take the groovy script and change, its easy stuff. The groovy script odi_create_repos.groovy is here, just open it in ODI before connecting and you will be able to create both master and work repositories with ease – or check the groovy out and script your own automation – you can construct the master, work and runtime repositories, so if you are embedding ODI as your DI engine this may be very useful. When you click ‘Create Repository’ you will see the following in the log as the master repository starts to be created; ====================================================== Repository Creation Started.... ====================================================== Master Repository Creation Started.... Then the completion message followed by the work repository creation and final completion message. Master Repository Creation Completed. Work Repository Creation Started. Work Repository Creation Completed. ====================================================== Repository Creation Completed Successfully ====================================================== Script exited. If any error is hit, the script just exits and prints any error to the log. For example if I enter no passwords, I will get this error; ====================================================== Repository Creation Started.... ====================================================== Master Repository Creation Started.... ====================================================== Repository Creation Complete in Error ====================================================== oracle.odi.setup.RepositorySetupException: oracle.odi.core.security.PasswordPolicyNotMatchedException: ODI-10189: Password policy MinPasswordLength is not matched. ====================================================== Script exited. This is another example of using the ODI 11g SDK showing how to automate the construction of your data integration environment. The main interfaces and classes used here are IMasterRepositorySetup / MasterRepositorySetupImpl and IWorkRepositorySetup / WorkRepositorySetupImpl.

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  • ODI 11g - Oracle Data Integrator 11g – A Hands-On Tutorial

    - by David Allan
    I've have been asked by Packt publishing to review a brand new book on Oracle Data Integrator: Getting Started with Oracle Data Integrator 11g – A Hands-On Tutorial. Waiting on this book to arrive and see what goodies are inside, I'll blog a review later. The book can be found at Oracle Data Integrator 11g – A Hands-On Tutorial Looking at the table of contents, it looks like it gives a good broad introduction (including various data formats) to the product; Chapter 1: Product Overview Chapter 2: Product Installation Chapter 3: Using Variables Chapter 4: ODI Sources, Targets, and Knowledge Modules Chapter 5: Working with Databases Chapter 6: Working with MySQL Chapter 7: Working with Microsoft SQL Server Chapter 8: Integrating File Data Chapter 9: Working with XML Files Chapter 10: Creating Workflows—Packages and Load Plans Chapter 11: Error Management Chapter 12: Managing and Monitoring ODI Components Chapter 13: Concluding Remarks Looking forward to it.

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  • ODI 11g – Expert Accelerator for Model Creation

    - by David Allan
    Following on from my post earlier this morning on scripting model and topology creation tonight I thought I’d add a little UI to make those groovy functions a little more palatable. In OWB we have experts for capturing user input, with the groovy console we open up opportunities to build UI around the scripts in a very easy way – even I can do it;-) After a little googling around I found some useful posts on SwingBuilder, the most useful one that I used for the dialog below was this one here. This dialog captures user input for the technology and context for the model and logical schema etc to be created. You can see there are a variety of interesting controls, and its really easy to do. The dialog captures the users input, then when OK is pressed I call the functions from the earlier post to create the logical schema (plus all the other objects) and model. The image below shows what was created, you can see the model (with typo in name), the model is Oracle technology and references the logical schema ORACLE_SCOTT (that I named in dialog above), the logical schema is mapped via the GLOBAL context to the data server ORACLE_SCOTT_DEV (that I named in dialog above), and the physical schema used was just the user name that I connected with – so if you wanted a different user the schema name could be added to the dialog. In a nutshell, one dialog that encapsulates a simpler mechanism for creating a model. You can create your own scripts that use dialogs like this, capture input and process. You can find the groovy script for this is here odi_create_model.groovy, again I wrapped the user capture code in a groovy function and return the result in a variable and then simply call the createLogicalSchema and createModel functions from the previous posting. The script I supplied above has everything you will need. To execute use Tools->Groovy->Open Script and then execute the green play button on the toolbar. Have fun.

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  • OWB 11gR2 - Windows and Linux 64-bit clients available

    - by David Allan
    In addition to the integrated release of OWB in the 11.2.0.3 Oracle database distribution, the following 64-bit standalone clients are now available for download from Oracle Support. OWB 11.2.0.3 Standalone client for Windows 64-bit - 13365470 OWB 11.2.0.3 Standalone client for Linux X86 64-bit - 13366327 This is in addition to the previously released 32-bit client on Windows. OWB 11.2.0.3 Standalone client for Windows 32-bit - 13365457 The support document Major OWB 11.2.0.3 New Features Summary has details for OWB 11.2.0.3 which include the following. Exadata v2 and oracle Database 11gR2 support capabilities; Support for Oracle Database 11gR2 and Exadata compression types Even more partitioning: Range-Range, Composite Hash/List, System, Reference Transparent Data Encryption support Data Guard support/certification Compiled PL/SQL code generation Capabilities to support data warehouse ETL best practices; Read and write Oracle Data Pump files with external tables External table preprocessor Partition specific DML Bulk data movement code templates: Oracle, IBM DB2, Microsoft SQL Server to Oracle Integration with Fusion Middleware capabilities; Support OWB's Control Center Agent on WLS Lots of interesting capabilities in 11.2.0.3 and the availability of the 64-bit client I'm sure is welcome news for many!

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  • IPV6 auto configuration not working

    - by Allan Ruin
    In Windows 7, my computer can automatically get a IPV6 global address and use IPV6 network, but in Ubuntu Natty, I can't find out how to let stateless configuration work. My network is a university campus network,so I don't need tunnels. I think if one thing can silently and successfully be accomplished in Windows, it shouldn't be impossible in linux. I tried manually editing /etc/network/interfaces and used a static IPV6 address, and I can use IPV6 this way, but I just want to use auto-configuration. I found this post: http://superuser.com/questions/33196/how-to-disable-autoconfiguration-on-ipv6-in-linux and tried sudo sysctl -w net.ipv6.conf.all.autoconf=1 sudo sysctl -w net.ipv6.conf.all.accept_ra=1 but without any luck. I got this in dmesg: root@natty-150:~# dmesg |grep IPv6 [ 26.239607] eth0: no IPv6 routers present [ 657.365194] eth0: no IPv6 routers present [ 719.101383] eth0: no IPv6 routers present [32864.604234] eth0: no IPv6 routers present [33267.619767] eth0: no IPv6 routers present [33341.507307] eth0: no IPv6 routers present I am not sure whether it matters,but then I setup a static IPv6 address (with gateway) and restart network,I ping6 ipv6.google.com and the ipv6 network is fine.This time a entry was added in dmesg [33971.214920] eth0: no IPv6 routers present So I guess the complain of no IPv6 router does not matter? Here is the ipv6 forwarding setting.But I guessed forwarding is used for radvd stuff? root@natty-150:/# cat /proc/sys/net/ipv6/conf/eth0/forwarding 0 After ajmitch mentioned forwarding setting, I added this to sysctl.conf file: net.ipv6.conf.all.autoconf = 1 net.ipv6.conf.all.accept_ra = 1 net.ipv6.conf.default.forwarding = 1 net.ipv6.conf.lo.forwarding = 1 net.ipv6.conf.eth0.forwarding = 1 and then ran sysctl -p /etc/init.d/networking restart But this still doesn't work.

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  • ODI 11g – How to override SQL at runtime?

    - by David Allan
    Following on from the posting some time back entitled ‘ODI 11g – Simple, Powerful, Flexible’ here we push the envelope even further. Rather than just having the SQL we override defined statically in the interface design we will have it configurable via a variable….at runtime. Imagine you have a well defined interface shape that you want to be fulfilled and that shape can be satisfied from a number of different sources that is what this allows - or the ability for one interface to consume data from many different places using variables. The cool thing about ODI’s reference API and this is that it can be fantastically flexible and useful. When I use the variable as the option value, and I execute the top level scenario that uses this temporary interface I get prompted (or can get prompted to be correct) for the value of the variable. Note I am using the <@=odiRef.getObjectName("L","EMP", "SCOTT","D")@> notation for the table reference, since this is done at runtime, then the context will resolve to the correct table name etc. Each time I execute, I could use a different source provider (obviously some dependencies on KMs/technologies here). For example, the following groovy snippet first executes and the query uses SCOTT model with EMP, the next time it is from BOB model and the datastore OTHERS. m=new Properties(); m.put("DEMO.SQLSTR", "select empno, deptno from <@=odiRef.getObjectName("L","EMP", "SCOTT","D")@>"); s=new StartupParams(m); runtimeAgent.startScenario("TOP", null, s, null, "GLOBAL", 5, null, true); m2=new Properties(); m2.put("DEMO.SQLSTR", "select empno, deptno from <@=odiRef.getObjectName("L","OTHERS", "BOB","D")@>"); s2=new StartupParams(m); runtimeAgent.startScenario("TOP", null, s2, null, "GLOBAL", 5, null, true); You’ll need a patch to 11.1.1.6 for this type of capability, thanks to my ole buddy Ron Gonzalez from the Enterprise Management group for help pushing the envelope!

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  • The Benefits of Smart Grid Business Software

    - by Sylvie MacKenzie, PMP
    Smart Grid Background What Are Smart Grids?Smart Grids use computer hardware and software, sensors, controls, and telecommunications equipment and services to: Link customers to information that helps them manage consumption and use electricity wisely. Enable customers to respond to utility notices in ways that help minimize the duration of overloads, bottlenecks, and outages. Provide utilities with information that helps them improve performance and control costs. What Is Driving Smart Grid Development? Environmental ImpactSmart Grid development is picking up speed because of the widespread interest in reducing the negative impact that energy use has on the environment. Smart Grids use technology to drive efficiencies in transmission, distribution, and consumption. As a result, utilities can serve customers’ power needs with fewer generating plants, fewer transmission and distribution assets,and lower overall generation. With the possible exception of wind farm sprawl, landscape preservation is one obvious benefit. And because most generation today results in greenhouse gas emissions, Smart Grids reduce air pollution and the potential for global climate change.Smart Grids also more easily accommodate the technical difficulties of integrating intermittent renewable resources like wind and solar into the grid, providing further greenhouse gas reductions. CostsThe ability to defer the cost of plant and grid expansion is a major benefit to both utilities and customers. Utilities do not need to use as many internal resources for traditional infrastructure project planning and management. Large T&D infrastructure expansion costs are not passed on to customers.Smart Grids will not eliminate capital expansion, of course. Transmission corridors to connect renewable generation with customers will require major near-term expenditures. Additionally, in the future, electricity to satisfy the needs of population growth and additional applications will exceed the capacity reductions available through the Smart Grid. At that point, expansion will resume—but with greater overall T&D efficiency based on demand response, load control, and many other Smart Grid technologies and business processes. Energy efficiency is a second area of Smart Grid cost saving of particular relevance to customers. The timely and detailed information Smart Grids provide encourages customers to limit waste, adopt energy-efficient building codes and standards, and invest in energy efficient appliances. Efficiency may or may not lower customer bills because customer efficiency savings may be offset by higher costs in generation fuels or carbon taxes. It is clear, however, that bills will be lower with efficiency than without it. Utility Operations Smart Grids can serve as the central focus of utility initiatives to improve business processes. Many utilities have long “wish lists” of projects and applications they would like to fund in order to improve customer service or ease staff’s burden of repetitious work, but they have difficulty cost-justifying the changes, especially in the short term. Adding Smart Grid benefits to the cost/benefit analysis frequently tips the scales in favor of the change and can also significantly reduce payback periods.Mobile workforce applications and asset management applications work together to deploy assets and then to maintain, repair, and replace them. Many additional benefits result—for instance, increased productivity and fuel savings from better routing. Similarly, customer portals that provide customers with near-real-time information can also encourage online payments, thus lowering billing costs. Utilities can and should include these cost and service improvements in the list of Smart Grid benefits. What Is Smart Grid Business Software? Smart Grid business software gathers data from a Smart Grid and uses it improve a utility’s business processes. Smart Grid business software also helps utilities provide relevant information to customers who can then use it to reduce their own consumption and improve their environmental profiles. Smart Grid Business Software Minimizes the Impact of Peak Demand Utilities must size their assets to accommodate their highest peak demand. The higher the peak rises above base demand: The more assets a utility must build that are used only for brief periods—an inefficient use of capital. The higher the utility’s risk profile rises given the uncertainties surrounding the time needed for permitting, building, and recouping costs. The higher the costs for utilities to purchase supply, because generators can charge more for contracts and spot supply during high-demand periods. Smart Grids enable a variety of programs that reduce peak demand, including: Time-of-use pricing and critical peak pricing—programs that charge customers more when they consume electricity during peak periods. Pilot projects indicate that these programs are successful in flattening peaks, thus ensuring better use of existing T&D and generation assets. Direct load control, which lets utilities reduce or eliminate electricity flow to customer equipment (such as air conditioners). Contracts govern the terms and conditions of these turn-offs. Indirect load control, which signals customers to reduce the use of on-premises equipment for contractually agreed-on time periods. Smart Grid business software enables utilities to impose penalties on customers who do not comply with their contracts. Smart Grids also help utilities manage peaks with existing assets by enabling: Real-time asset monitoring and control. In this application, advanced sensors safely enable dynamic capacity load limits, ensuring that all grid assets can be used to their maximum capacity during peak demand periods. Real-time asset monitoring and control applications also detect the location of excessive losses and pinpoint need for mitigation and asset replacements. As a result, utilities reduce outage risk and guard against excess capacity or “over-build”. Better peak demand analysis. As a result: Distribution planners can better size equipment (e.g. transformers) to avoid over-building. Operations engineers can identify and resolve bottlenecks and other inefficiencies that may cause or exacerbate peaks. As above, the result is a reduction in the tendency to over-build. Supply managers can more closely match procurement with delivery. As a result, they can fine-tune supply portfolios, reducing the tendency to over-contract for peak supply and reducing the need to resort to spot market purchases during high peaks. Smart Grids can help lower the cost of remaining peaks by: Standardizing interconnections for new distributed resources (such as electricity storage devices). Placing the interconnections where needed to support anticipated grid congestion. Smart Grid Business Software Lowers the Cost of Field Services By processing Smart Grid data through their business software, utilities can reduce such field costs as: Vegetation management. Smart Grids can pinpoint momentary interruptions and tree-caused outages. Spatial mash-up tools leverage GIS models of tree growth for targeted vegetation management. This reduces the cost of unnecessary tree trimming. Service vehicle fuel. Many utility service calls are “false alarms.” Checking meter status before dispatching crews prevents many unnecessary “truck rolls.” Similarly, crews use far less fuel when Smart Grid sensors can pinpoint a problem and mobile workforce applications can then route them directly to it. Smart Grid Business Software Ensures Regulatory Compliance Smart Grids can ensure compliance with private contracts and with regional, national, or international requirements by: Monitoring fulfillment of contract terms. Utilities can use one-hour interval meters to ensure that interruptible (“non-core”) customers actually reduce or eliminate deliveries as required. They can use the information to levy fines against contract violators. Monitoring regulations imposed on customers, such as maximum use during specific time periods. Using accurate time-stamped event history derived from intelligent devices distributed throughout the smart grid to monitor and report reliability statistics and risk compliance. Automating business processes and activities that ensure compliance with security and reliability measures (e.g. NERC-CIP 2-9). Grid Business Software Strengthens Utilities’ Connection to Customers While Reducing Customer Service Costs During outages, Smart Grid business software can: Identify outages more quickly. Software uses sensors to pinpoint outages and nested outage locations. They also permit utilities to ensure outage resolution at every meter location. Size outages more accurately, permitting utilities to dispatch crews that have the skills needed, in appropriate numbers. Provide updates on outage location and expected duration. This information helps call centers inform customers about the timing of service restoration. Smart Grids also facilitates display of outage maps for customer and public-service use. Smart Grids can significantly reduce the cost to: Connect and disconnect customers. Meters capable of remote disconnect can virtually eliminate the costs of field crews and vehicles previously required to change service from the old to the new residents of a metered property or disconnect customers for nonpayment. Resolve reports of voltage fluctuation. Smart Grids gather and report voltage and power quality data from meters and grid sensors, enabling utilities to pinpoint reported problems or resolve them before customers complain. Detect and resolve non-technical losses (e.g. theft). Smart Grids can identify illegal attempts to reconnect meters or to use electricity in supposedly vacant premises. They can also detect theft by comparing flows through delivery assets with billed consumption. Smart Grids also facilitate outreach to customers. By monitoring and analyzing consumption over time, utilities can: Identify customers with unusually high usage and contact them before they receive a bill. They can also suggest conservation techniques that might help to limit consumption. This can head off “high bill” complaints to the contact center. Note that such “high usage” or “additional charges apply because you are out of range” notices—frequently via text messaging—are already common among mobile phone providers. Help customers identify appropriate bill payment alternatives (budget billing, prepayment, etc.). Help customers find and reduce causes of over-consumption. There’s no waiting for bills in the mail before they even understand there is a problem. Utilities benefit not just through improved customer relations but also through limiting the size of bills from customers who might struggle to pay them. Where permitted, Smart Grids can open the doors to such new utility service offerings as: Monitoring properties. Landlords reduce costs of vacant properties when utilities notify them of unexpected energy or water consumption. Utilities can perform similar services for owners of vacation properties or the adult children of aging parents. Monitoring equipment. Power-use patterns can reveal a need for equipment maintenance. Smart Grids permit utilities to alert owners or managers to a need for maintenance or replacement. Facilitating home and small-business networks. Smart Grids can provide a gateway to equipment networks that automate control or let owners access equipment remotely. They also facilitate net metering, offering some utilities a path toward involvement in small-scale solar or wind generation. Prepayment plans that do not need special meters. Smart Grid Business Software Helps Customers Control Energy Costs There is no end to the ways Smart Grids help both small and large customers control energy costs. For instance: Multi-premises customers appreciate having all meters read on the same day so that they can more easily compare consumption at various sites. Customers in competitive regions can match their consumption profile (detailed via Smart Grid data) with specific offerings from competitive suppliers. Customers seeing inexplicable consumption patterns and power quality problems may investigate further. The result can be discovery of electrical problems that can be resolved through rewiring or maintenance—before more serious fires or accidents happen. Smart Grid Business Software Facilitates Use of Renewables Generation from wind and solar resources is a popular alternative to fossil fuel generation, which emits greenhouse gases. Wind and solar generation may also increase energy security in regions that currently import fossil fuel for use in generation. Utilities face many technical issues as they attempt to integrate intermittent resource generation into traditional grids, which traditionally handle only fully dispatchable generation. Smart Grid business software helps solves many of these issues by: Detecting sudden drops in production from renewables-generated electricity (wind and solar) and automatically triggering electricity storage and smart appliance response to compensate as needed. Supporting industry-standard distributed generation interconnection processes to reduce interconnection costs and avoid adding renewable supplies to locations already subject to grid congestion. Facilitating modeling and monitoring of locally generated supply from renewables and thus helping to maximize their use. Increasing the efficiency of “net metering” (through which utilities can use electricity generated by customers) by: Providing data for analysis. Integrating the production and consumption aspects of customer accounts. During non-peak periods, such techniques enable utilities to increase the percent of renewable generation in their supply mix. During peak periods, Smart Grid business software controls circuit reconfiguration to maximize available capacity. Conclusion Utility missions are changing. Yesterday, they focused on delivery of reasonably priced energy and water. Tomorrow, their missions will expand to encompass sustainable use and environmental improvement.Smart Grids are key to helping utilities achieve this expanded mission. But they come at a relatively high price. Utilities will need to invest heavily in new hardware, software, business process development, and staff training. Customer investments in home area networks and smart appliances will be large. Learning to change the energy and water consumption habits of a lifetime could ultimately prove even more formidable tasks.Smart Grid business software can ease the cost and difficulties inherent in a needed transition to a more flexible, reliable, responsive electricity grid. Justifying its implementation, however, requires a full understanding of the benefits it brings—benefits that can ultimately help customers, utilities, communities, and the world address global issues like energy security and climate change while minimizing costs and maximizing customer convenience. This white paper is available for download here. For further information about Oracle's Primavera Solutions for Utilities, please read our Utilities e-book.

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  • ODI - Creating a Repository in a 12c Pluggable Database

    - by David Allan
    To install ODI 11g into an Oracle 12c pluggable database, one way is to connect using a TNS string to the pluggable database service that is executing. For example when I installed my master repository, I used a JDBC URL such as; jdbc:oracle:thin:@(DESCRIPTION=(ADDRESS_LIST=(ADDRESS=(PROTOCOL=TCP)(HOST=mydbserver)(PORT=1522)))(CONNECT_DATA=(SERVER=DEDICATED)(SERVICE_NAME=PDBORA12.US.ORACLE.COM)))   I used the above approach rather than the host:port:sid which is a common mechanism many users use to quickly get up and going. Below you can see the repository creation wizard in action, I used the 11g release and simply installed the master and work repository into my pluggable database. Be wise with your repository IDs, I simply used the default, but you should be aware that these are key in larger deployments. The database in 12c has much more tighter control on users and resources, so just getting the user creating with sufficient resource on tablespaces etc in 12c was a little more work. Once you have the repositories up and running, then the fun starts using the 12c features. More to come.

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  • ODI 11g – Oracle Multi Table Insert

    - by David Allan
    With the IKM Oracle Multi Table Insert you can generate Oracle specific DML for inserting into multiple target tables from a single query result – without reprocessing the query or staging its result. When designing this to exploit the IKM you must split the problem into the reusable parts – the select part goes in one interface (I named SELECT_PART), then each target goes in a separate interface (INSERT_SPECIAL and INSERT_REGULAR). So for my statement below… /*INSERT_SPECIAL interface */ insert  all when 1=1 And (INCOME_LEVEL > 250000) then into SCOTT.CUSTOMERS_NEW (ID, NAME, GENDER, BIRTH_DATE, MARITAL_STATUS, INCOME_LEVEL, CREDIT_LIMIT, EMAIL, USER_CREATED, DATE_CREATED, USER_MODIFIED, DATE_MODIFIED) values (ID, NAME, GENDER, BIRTH_DATE, MARITAL_STATUS, INCOME_LEVEL, CREDIT_LIMIT, EMAIL, USER_CREATED, DATE_CREATED, USER_MODIFIED, DATE_MODIFIED) /* INSERT_REGULAR interface */ when 1=1  then into SCOTT.CUSTOMERS_SPECIAL (ID, NAME, GENDER, BIRTH_DATE, MARITAL_STATUS, INCOME_LEVEL, CREDIT_LIMIT, EMAIL, USER_CREATED, DATE_CREATED, USER_MODIFIED, DATE_MODIFIED) values (ID, NAME, GENDER, BIRTH_DATE, MARITAL_STATUS, INCOME_LEVEL, CREDIT_LIMIT, EMAIL, USER_CREATED, DATE_CREATED, USER_MODIFIED, DATE_MODIFIED) /*SELECT*PART interface */ select        CUSTOMERS.EMAIL EMAIL,     CUSTOMERS.CREDIT_LIMIT CREDIT_LIMIT,     UPPER(CUSTOMERS.NAME) NAME,     CUSTOMERS.USER_MODIFIED USER_MODIFIED,     CUSTOMERS.DATE_MODIFIED DATE_MODIFIED,     CUSTOMERS.BIRTH_DATE BIRTH_DATE,     CUSTOMERS.MARITAL_STATUS MARITAL_STATUS,     CUSTOMERS.ID ID,     CUSTOMERS.USER_CREATED USER_CREATED,     CUSTOMERS.GENDER GENDER,     CUSTOMERS.DATE_CREATED DATE_CREATED,     CUSTOMERS.INCOME_LEVEL INCOME_LEVEL from    SCOTT.CUSTOMERS   CUSTOMERS where    (1=1) Firstly I create a SELECT_PART temporary interface for the query to be reused and in the IKM assignment I state that it is defining the query, it is not a target and it should not be executed. Then in my INSERT_SPECIAL interface loading a target with a filter, I set define query to false, then set true for the target table and execute to false. This interface uses the SELECT_PART query definition interface as a source. Finally in my final interface loading another target I set define query to false again, set target table to true and execute to true – this is the go run it indicator! To coordinate the statement construction you will need to create a package with the select and insert statements. With 11g you can now execute the package in simulation mode and preview the generated code including the SQL statements. Hopefully this helps shed some light on how you can leverage the Oracle MTI statement. A similar IKM exists for Teradata. The ODI IKM Teradata Multi Statement supports this multi statement request in 11g, here is an extract from the paper at www.teradata.com/white-papers/born-to-be-parallel-eb3053/ Teradata Database offers an SQL extension called a Multi-Statement Request that allows several distinct SQL statements to be bundled together and sent to the optimizer as if they were one. Teradata Database will attempt to execute these SQL statements in parallel. When this feature is used, any sub-expressions that the different SQL statements have in common will be executed once, and the results shared among them. It works in the same way as the ODI MTI IKM, multiple interfaces orchestrated in a package, each interface contributes some SQL, the last interface in the chain executes the multi statement.

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  • ODI 11g - Scripting a Reverse Engineer

    - by David Allan
    A common question is related to how to script the reverse engineer using the ODI SDK. This follows on from some of my posts on scripting in general and accelerated model and topology setup. Check out this viewlet here to see how to define a reverse engineering process using ODI's package. Using the ODI SDK, you can script this up using the OdiPackage and StepOdiCommand classes as follows;  OdiPackage pkg = new OdiPackage(folder, "Pkg_Rev"+modName);   StepOdiCommand step1 = new StepOdiCommand(pkg,"step1_cmd_reset");   step1.setCommandExpression(new Expression("OdiReverseResetTable \"-MODEL="+mod.getModelId()+"\"",null, Expression.SqlGroupType.NONE));   StepOdiCommand step2 = new StepOdiCommand(pkg,"step2_cmd_reset");   step2.setCommandExpression(new Expression("OdiReverseGetMetaData \"-MODEL="+mod.getModelId()+"\"",null, Expression.SqlGroupType.NONE));   StepOdiCommand step3 = new StepOdiCommand(pkg,"step3_cmd_reset");   step3.setCommandExpression(new Expression("OdiReverseSetMetaData \"-MODEL="+mod.getModelId()+"\"",null, Expression.SqlGroupType.NONE));   pkg.setFirstStep(step1);   step1.setNextStepAfterSuccess(step2);   step2.setNextStepAfterSuccess(step3); The biggest leap of faith for users is getting to know which SDK classes have to be used to build the objects in the design, using StepOdiCommand isn't necessarily obvious, once you see it in action though it is very simple to use. The above snippet uses an OdiModel variable named mod, its a snippet I added to the accelerated model creation script in the post linked above.

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  • ODI 11g – How to Load Using Partition Exchange

    - by David Allan
    Here we will look at how to load large volumes of data efficiently into the Oracle database using a mixture of CTAS and partition exchange loading. The example we will leverage was posted by Mark Rittman a couple of years back on Interval Partitioning, you can find that posting here. The best thing about ODI is that you can encapsulate all those ‘how to’ blog posts and scripts into templates that can be reused – the templates are of course Knowledge Modules. The interface design to mimic Mark's posting is shown below; The IKM I have constructed performs a simple series of steps to perform a CTAS to create the stage table to use in the exchange, then lock the partition (to ensure it exists, it will be created if it doesn’t) then exchange the partition in the target table. You can find the IKM Oracle PEL.xml file here. The IKM performs the follows steps and is meant to illustrate what can be done; So when you use the IKM in an interface you configure the options for hints (for parallelism levels etc), initial extent size, next extent size and the partition variable;   The KM has an option where the name of the partition can be passed in, so if you know the name of the partition then set the variable to the name, if you have interval partitioning you probably don’t know the name, so you can use the FOR clause. In my example I set the variable to use the date value of the source data FOR (TO_DATE(''01-FEB-2010'',''dd-MON-yyyy'')) Using a variable lets me invoke the scenario many times loading different partitions of the same target table. Below you can see where this is defined within ODI, I had to double single-quote the strings since this is placed inside the execute immediate tasks in the KM; Note also this example interface uses the LKM Oracle to Oracle (datapump), so this illustration uses a lot of the high performing Oracle database capabilities – it uses Data Pump to unload, then a CreateTableAsSelect (CTAS) is executed on the external table based on top of the Data Pump export. This table is then exchanged in the target. The IKM and illustrations above are using ODI 11.1.1.6 which was needed to get around some bugs in earlier releases with how the variable is handled...as far as I remember.

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  • First Post

    - by Allan Ritchie
    It has been a while since I've had a blog, but I'm back into the open source dev and decided to get back into things.  I had a blog a few years back when NHibernate was infant (0.8 or something) and I was working with the Wilson ORMapper (www.ormapper.net) at the time.  Anyhow, I'm still working with NHibernate (particularily the exciting v3 alpha 1) and Castle framework. I've also written a .NET ExtDirect stack for which I'll be writing a few articles around due to its flexibility.  I decided to write yet another communication stack because all the implementations I found on the Ext forums were lacking any sort of flexibility.  So stay tuned... I'll be presenting a bunch of the extension points.

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  • ODI 12c - Loading Files into Oracle, community post from ToadWorld

    - by David Allan
    There's a complete soup to nuts post from Deepak Vohra on the Oracle community pages of ToadWorld on loading a fixed length file into the Oracle database. This post is interesting from a few fronts; firstly this is the out of the box experience, no specialized KMs so just basic integration from getting the software installed to running a mapping. Also it demonstrates fixed length file integration including how to use the ODI UI to define the fields and pertinent properties.  Check the blog post out below.... http://www.toadworld.com/platforms/oracle/w/wiki/10935.loading-text-file-data-into-oracle-database-12c-with-oracle-data-integrator-12c.aspx Hopefully you also find this useful, many thanks to Deepak for sharing his experiences. You could take this example further and illustrate how to load into Oracle using the LKM File to Oracle via External table knowledge module which will perform much better and also leverage such things as using wildcards for loading many files into the 12c database.

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  • ODI 12c - Installing ODI Studio

    - by David Allan
    Today the 12c release of the Oracle Data Integrator was made GA on OTN. Once you have downloaded and are running the installer, if you want to install the ODI Studio, ensure you select 'Enterprise Installation' as this is where the ODI Studio for 12.1.2 can be installed from. If you choose 'Standalone Installation' you will be hunting for the ODI studio software. So ensure you pick Enterprise Installation to get the ODI design studio. Once that's done you are ready to go!

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  • Acr.ExtDirect &ndash; Part 1 &ndash; Method Resolvers

    - by Allan Ritchie
    One of the most important things of any open source libraries in my opinion is to be as open as possible while avoiding having your library become invasive to your code/business model design.  I personally could never stand marking my business and/or data access code with attributes everywhere.  XML also isn’t really a fav with too many people these days since it comes with a startup performance hit and requires runtime compiling.  I find that there is a whole ton of communication libraries out there currently requiring this (ie. WCF, RIA, etc).  Even though Acr.ExtDirect comes with its own set of attributes, you can piggy-back the [ServiceContract] & [OperationContract] attributes from WCF if you choose.  It goes beyond that though, there are 2 others “out-of-the-box” implementations – Convention based & XML Configuration.    Convention – I don’t actually recommend using this one since it opens up all of your public instance methods to remote execution calls. XML Configuration – This isn’t so bad but requires you enter all of your methods and there operation types into the Castle XML configuration & as I said earlier, XML isn’t the fav these days.   So what are your options if you don’t like attributes, convention, or XML Configuration?  Well, Acr.ExtDirect has its own extension base to give the API a list of methods and components to make available for remote execution.  1: public interface IDirectMethodResolver { 2:   3: bool IsServiceType(ComponentModel model, Type type); 4: string GetNamespace(ComponentModel model); 5: string[] GetDirectMethodNames(ComponentModel model); 6: DirectMethodType GetMethodType(ComponentModel model, MethodInfo method); 7: }   Now to implement our own method resolver:   1: public class TestResolver : IDirectMethodResolver { 2:   3: #region IDirectMethodResolver Members 4:   5: /// <summary> 6: /// Determine if you are calling a service 7: /// </summary> 8: /// <param name="model"></param> 9: /// <param name="type"></param> 10: /// <returns></returns> 11: public bool IsServiceType(ComponentModel model, Type type) { 12: return (type.Namespace == "MyBLL.Data"); 13: } 14:   15: /// <summary> 16: /// Return the calling name for the client side 17: /// </summary> 18: /// <param name="model"></param> 19: /// <returns></returns> 20: public string GetNamespace(ComponentModel model) { 21: return model.Name; 22: } 23:   24: public string[] GetDirectMethodNames(ComponentModel model) { 25: switch (model.Name) { 26: case "Products" : 27: return new [] { 28: "GetProducts", 29: "LoadProduct", 30: "Save", 31: "Update" 32: }; 33:   34: case "Categories" : 35: return new [] { 36: "GetProducts" 37: }; 38:   39: default : 40: throw new ArgumentException("Invalid type"); 41: } 42: } 43:   44: public DirectMethodType GetMethodType(ComponentModel model, MethodInfo method) { 45: if (method.Name.StartsWith("Save") || method.Name.StartsWith("Update")) 46: return DirectMethodType.FormSubmit; 47: 48: else if (method.Name.StartsWith("Load")) 49: return DirectMethodType.FormLoad; 50:   51: else 52: return DirectMethodType.Direct; 53: } 54:   55: #endregion 56: }   And there you have it, your own custom method resolver.  Pretty easy and pretty open ended!

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  • Oracle Magazine - Deriving and Sharing Business Intelligence Metadata

    - by David Allan
    There is a new Oracle Magazine article titled 'Deriving and Sharing Business Intelligence Metadata' from Oracle ACE director Mark Rittman in the July/August 2010 issue that illustrates the business definitions derived and shared across OWB 11gR2 and OBIEE: http://www.oracle.com/technology/oramag/oracle/10-jul/o40bi.html Thanks to Mark for the time producing this. As for OWB would be have been useful to have had the reverse engineering capabilities from OBIEE, interesting to have had code template based support for deployment of such business definitions and powerful to use these objects (logical folders etc.) in the mapping itself.

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  • ODI 12c - Getting up and running fast

    - by David Allan
    Here's a quick A-B-C to show you how to quickly get up and running with ODI 12c, from getting the software to creating a repository via wizard or the command line, then installing an agent for running load plans and the like. A. Get the software from OTN and install studio. Check out this viewlet here for quickly doing this. B. Create a repository using the RCU, check out this viewlet here which uses the FMW Repository Creation Utility.  You can also silently create (and drop) a repository using the command line, this is really easy. .\rcu -silent -createRepository -connectString yourhost:1521:orcl.st-users.us.oracle.com -dbUser sys -dbRole sysdba -useSamePasswordForAllSchemaUsers true -schemaPrefix X -component ODI -component IAU  -component IAU_APPEND  -component IAU_VIEWER -component OPSS < passwords.txt where the passwords file contains info such as; sysdba_passwd newschema_passwd odi_user_passwd D workreposname workrepos_passwd  You can find details about the silent use of RCU here in the FMW documentation. C. Quickly create an agent for executing load plans and the like -  there is a great OBE for this, check it out here. If you are on your laptop and just wanting as minimal an agent as possible then this link is a must. With these three steps you are ready to get to the fun stuff! Check out more OBEs here - keep on the lookout for more!

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  • OWB – How to update OWB after Database Cloning

    - by David Allan
    One of the most commonly asked questions led to one of the most commonly accessed support documents (strange that) for OWB is the document describing how to update the OWB repository details after cloning the Oracle database. The document in the Oracle support site has id 434272.1, and is titled 'How To Update Warehouse Builder After A Database Cloning (Doc ID 434272.1)'. This post is really for me to remember the document id;-)

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  • ODI 11g - Dynamic and Flexible Code Generation

    - by David Allan
    ODI supports conditional branching at execution time in its code generation framework. This is a little used, little known, but very powerful capability - this let's one piece of template code behave dynamically based on a runtime variable's value for example. Generally knowledge module's are free of any variable dependency. Using variable's within a knowledge module for this kind of dynamic capability is a valid use case - definitely in the highly specialized area. The example I will illustrate is much simpler - how to define a filter (based on mapping here) that may or may not be included depending on whether at runtime a certain value is defined for a variable. I define a variable V_COND, if I set this variable's value to 1, then I will include the filter condition 'EMP.SAL > 1' otherwise I will just use '1=1' as the filter condition. I use ODIs substitution tags using a special tag '<$' which is processed just prior to execution in the runtime code - so this code is included in the ODI scenario code and it is processed after variables are substituted (unlike the '<?' tag).  So the lines below are not equal ... <$ if ( "#V_COND".equals("1")  ) { $> EMP.SAL > 1 <$ } else { $> 1 = 1 <$ } $> <? if ( "#V_COND".equals("1")  ) { ?> EMP.SAL > 1 <? } else { ?> 1 = 1 <? } ?> When the <? code is evaluated the code is executed without variable substitution - so we do not get the desired semantics, must use the <$ code. You can see the jython (java) code in red is the conditional if statement that drives whether the 'EMP.SAL > 1' or '1=1' is included in the generated code. For this illustration you need at least the ODI 11.1.1.6 release - with the vanilla 11.1.1.5 release it didn't work for me (may be patches?). As I mentioned, normally KMs don't have dependencies on variables - since any users must then have these variables defined etc. but it does afford a lot of runtime flexibility if such capabilities are required - something to keep in mind, definitely.

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  • Oracle Magazine - OWB 11gR2 and Heterogeneous Databases

    - by David Allan
    There's a nice article titled 'Oracle Warehouse Builder 11g Release 2 and Heterogeneous Databases' from Oracle ACE director and cofounder of Rittman Mead Consulting, Mark Rittman in the May/June 2010 Oracle Magazine that covers the heterogeneous database support in OWB 11gR2: http://www.oracle.com/technology/oramag/oracle/10-may/o30bi.html Big thanks to Mark for this write up. There is an Oracle white paper on the support here and for examples of this extensibility you can go to the OWB blog archive where there are quite a few posts. I would recommend the following interesting posts out of the archive architecture overview, bulk file loading, MySQL open connectivity and MySQL bulk extract as interesting posts amongst others.

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  • OWB 11gR2 &ndash; Parallel DML and Query

    - by David Allan
    A quick post illustrating conventional (non direct path) parallel inserts and query using OWB following on from some recent posts from Jean-Pierre and Randolf on this topic. The mapping configuration properties is where you can define these hints in OWB, taking JP’s simplistic illustration, the parallel query hints in OWB are defined on the ‘Extraction hint’ property for the source, and the parallel DML hints are defined on the ‘Loading hint’ property on the target table operator. If we then generate the code you can see the intermediate code generated below… Finally…remember the parallel enabled session for this all to fly… Anyway, hope this helps join a few dots….

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  • Audio Stutters at gdm

    - by Allan
    Ok I have a problem every 2 times out of 3 I login (I cant be specific it fairly random) I get a Stuttering GDM warning (not the login sound just the Bell sound to wake you up) the only way to stop it is to login I have a Fujitsu Siemens Amilo 1718 with a 2gig of memory (only hardware mod) using 10.10 Maverick and I have disabled KMS as my system was freezing as per the release notes. The only time this has happened before on the same machine was when I gave Kubuntu a try when 10.04 came out then it happened at the login screen and at random times while listening to music in any program. By the way audio is fine as is almost everything else once I have logged in. I would like an answer to this as I am an advocate of Ubuntu and its kind of embarrassing when the first thing that happens is *bing*. as requested Daniel alsa-info Pulse verbose log Not sure how useful the pulse log will be as I cant replicate the bug with a terminal open but I wouldnt be asking the question if I knew the answer so..... Edit 24/12/2010 ......been living on cocktail sausages and pickled onions for five days now made a make shift splint with cocktail sticks..... oops so updated the alsa drivers but I still get the same message in the dmesg No response from codec, disabling MSI: last cmd=0x10a90000 googleing it brings up a forum post from some other distro with a green logo the only common denominator seems to be graphics ie ATI Radeon XPRESS 200M which is why I have had to turn of kms as the chip is so old that small mice try to eat the "kernel" ;) funnily enough following the bug link at the end of the post, I found a comment about "Ubuntu Black Magic" so mabey I am coming at this from the wrong angle...... Bad Joo Joo any one. I will try the second part of Daniels Fix and Update with the result. The final Edit: (Plays air guitar) In the end neither of these solved the problem as such However I have given Roland a tick for reminding me of the solution and I gave Daniel the Bounty for the effort in trying to solve the problem. The answer for future readers was the enable the correct HD Audio Model I found the answer back when using Karmic Koala 9.10 in this forum post Amilo Li1718 Skype - Can't get it working... the model is options snd-hda-intel model=3stack position_fix=1 enable=yes which can be added to the end of alsa-base.conf thanks all for helping and hope anyone with a similar problem will find the answer here.

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