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  • Master Data Management for Location Data - Oracle Site Hub

    - by david.butler(at)oracle.com
    Most MDM discussions cover key domains such as customer, supplier, product, service, and reference data. It is usually understood that these domains have complex structures and hundreds if not thousands of attributes that need governing. Location, on the other hand, strikes most people as address data. How hard can that be? But for many industries, locations are complex, and site information is critical to efficient operations and relevant analytics. Retail stores and malls, bank branches, construction sites come to mind. But one of the best industries for illustrating the power of a site mastering application is Oil & Gas.   Oracle's Master Data Management solution for location data is the Oracle Site Hub. It is a location mastering solution that enables organizations to centralize site and location specific information from heterogeneous systems, creating a single view of site information that can be leveraged across all functional departments and analytical systems.   Let's take a look at the location entities the Oracle Site Hub can manage for the Oil & Gas industry: organizations, property, land, buildings, roads, oilfield, service center, inventory site, real estate, facilities, refineries, storage tanks, vendor locations, businesses, assets; project site, area, well, basin, pipelines, critical infrastructure, offshore platform, compressor station, gas station, etc. Any site can be classified into multiple hierarchies, like organizational hierarchy, operational hierarchy, geographic hierarchy, divisional hierarchies and so on. Any site can also be associated to multiple clusters, i.e. collections of sites, and these can be used as a foundation for driving reporting, analysis, organize daily work, etc. Hierarchies can also be used to model entities which are structured or non-structured collections of nodes, like for example routes, pipelines and more. The User Defined Attribute Framework provides the needed infrastructure to add single row attributes groups like well base attributes (well IDs, well type, well structure and key characterizing measures, and more) and well geometry, and multi row attribute groups like well applications, permits, production data, activities, operations, logs, treatments, tests, drills, treatments, and KPIs. Site Hub can also model areas, lands, fields, basins, pools, platforms, eco-zones, and stratigraphic layers as specific sites, tracking their base attributes, aliases, descriptions, subcomponents and more. Midstream entities (pipelines, logistic sites, pump stations) and downstream entities (cylinders, tanks, inventories, meters, partner's sites, routes, facilities, gas stations, and competitor sites) can also be easily modeled, together with their specific attributes and relationships. Site Hub can store any type of unstructured data associated to a site. This could be stored directly or on an external content management solution, like Oracle Universal Content Management. Considering a well, for example, Site Hub can store any relevant associated multimedia file such as: CAD drawings of the well profile, structure and/or parts, engineering documents, contracts, applications, permits, logs, pictures, photos, videos and more. For any site entity, Site Hub can associate all the related assets and equipments at the site, as well as all relationships between sites, between a site and multiple parties, and between a site and any purchasable or sellable item, over time. Items can be equipment, instruments, facilities, services, products, production entities, production facilities (pipelines, batteries, compressor stations, gas plants, meters, separators, etc.), support facilities (rigs, roads, transmission or radio towers, airstrips, etc.), supplier products and services, catalogs, and more. Items can just be associated to sites using standard Site Hub features, or they can be fully mastered by implementing Oracle Product Hub. Site locations (addresses or geographical coordinates) are also managed with out-of-the-box address geo-coding capabilities coupled with Google Maps integration to deliver powerful mapping capabilities and spatial data analysis. Locations can be shared between different sites. Centered on the site location, any site can also have associated areas. Site Hub can master any site location specific information, like for example cadastral, ownership, jurisdictional, geological, seismic and more, and any site-centric area specific information, like for example economical, political, risk, weather, logistic, traffic information and more. Now if anyone ever asks you why locations need MDM, think about how all these Oil & Gas entities and attributes would translate into your business locations. To learn more about Oracle's full MDM solution for the digital oil field, here is a link to Roberto Negro's outstanding whitepaper: Oracle Site Master Data Management for mastering wells and other PPDM entities in a digital oilfield context  

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  • Certify October Updates

    - by Sadia2
    Normal 0 false false false EN-US X-NONE X-NONE We have added some release and platform certifications to MOS Certify. Applications: Oracle Demantra 12.2.2 Collaboration Technologies: Oracle On Track Communication 1.0.0.0.0 Database : Oracle Database 11.2.0.4.0, Oracle Database Client 11.2.0.4.0, 11.2.0.3.0, Oracle Clusterware 12.1.0.1.0, 11.2.0.4.0, Oracle Real Application Clusters 12.1.0.1.0, 11.2.0.4.0, Oracle TimesTen In-Memory Database 11.2.2.5.0, Oracle Audit Vault and Database Firewall 12.1.1.0.0, Oracle Database Client 10.2.0.5, Oracle Secure Enterprise Search 11.2.2.2.0 E-Business Suite: Oracle E-Business Suite 12.2.2, 12.1.3, 12.1.2, 12.1.1, 12.0.4, 11.5.10.2, 11.5.9.2 Edge Applications: Oracle Transportation Management 6.3.2 Enterprise Manager: Enterprise Manager Base Platform – OMS 12.1.0.3.0 FSGBU Insurance Group: Oracle Health Insurance Back Office 10.13.2.0.0 Fusion Middleware: Oracle Application Development Framework 11.1.1.6.0, Oracle Business Intelligence Enterprise Edition 11.1.1.7.0, Oracle BI Answers 11.1.1.7.0, Oracle BI Composer 11.1.1.7.0, Oracle BI Presentation Services 11.1.1.7.0, Oracle BI Delivers 11.1.1.7.0, Oracle BI Interactive Dashboards 11.1.1.7.0, Oracle BI Scorecard and Strategy Management 11.1.1.7.0, Oracle BI Catalog Manager 11.1.1.7.0, Oracle BI Search 11.1.1.7.0, Oracle BIP Enterprise 11.1.1.7.0, Oracle BIP Scheduler 11.1.1.7.0, Oracle Real-Time Decision Center 11.1.1.7.0, Oracle Segmentation Server 11.1.1.7.0, Oracle JRE 1.7.0_45, 1.7.0_40, 1.7.0_25, 1.7.0_21, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.7.0_10, 1.6.0_65, 1.6.0_26, Oracle JDK 1.7.0_45, 1.7.0_25, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.6.0_65, 1.6.0_41, 1.6.0_26, Oracle Discoverer 11.1.1.7.0, 11.1.1.6.0, Discoverer Administrator 11.1.1.7.0, 11.1.1.6.0, Discoverer Desktop 11.1.1.7.0, 11.1.1.6.0, Oracle GoldenGate 12.1.2.0.0, Oracle GoldenGate Director 12.1.2.0.0, Java 1.7.0_10, Oracle Fusion Middleware 12.1.2.0.0, Oracle Data Integrator Agent 12.1.2.0.0, Oracle Data Integrator Studio 12.1.2.0.0, Oracle Data Integrator Console 12.1.2.0.0 JD Edwards EnterpriseOne: JD Edwards EnterpriseOne Enterprise Server 9.1.3.0, JD Edwards EnterpriseOne One View Reporting 9.1.3.0, JD Edwards EnterpriseOne Mobile Applications 9.0.2.0, 9.0.0.0, 9.1.2.0, JD Edwards EnterpriseOne for iPad 1.0.0.0 Linux & Server Virtualization (x86): Oracle VM Server for x86 3.2.6.0.0, 3.2.4.0.0, 3.2.3.0.0, 3.2.2.0.0, 3.2.1.0.0 MySQL: MySQL Database Server 5.6, 5.5, MySQL Cluster 7.3, 7.2, 7.1 Oracle Fusion Applications : Oracle Fusion Applications 11.1.7.0.0, 11.1.6.0.0, 11.1.5.0.0, 11.1.4.0.0 PeopleSoft: PeopleSoft PeopleTools 8.53, 8.52, 8.51, 8.5 Primavera GBU: Primavera Project Portfolio Mgmt 6.2.1, Primavera P6 Enterprise Project Portfolio Management 8.3.0.0.0 Siebel Enterprise: Siebel Application Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Database Server 8.2.2.4.0, 8.1.1.11.0 Siebel Web Server Extension 8.1.1.10.0 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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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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  • Analytics in an Omni-Channel World

    - by David Dorf
    Retail has been around ever since mankind started bartering.  The earliest transactions were very specific to the individuals buying and selling, then someone had the bright idea to open a store.  Those transactions were a little more generic, but the store owner still knew his customers and what they wanted.  As the chains rolled out, customer intimacy was sacrificed for scale, and retailers began to rely on segments and clusters.  But thanks to the widespread availability of data and the technology to convert said data into information, retailers are getting back to details. The retail industry is following a maturity model for analytics that is has progressed through five stages, each delivering more value than the previous. Store Analytics Brick-and-mortar retailers (and pure-play catalogers as well) that collect anonymous basket-level data are able to get some sense of demand to help with allocation decisions.  Promotions and foot-traffic can be measured to understand marketing effectiveness and perhaps focus groups can help test ideas.  But decisions are influenced by the majority, using faceless customer segments and aggregated industry data points.  Loyalty programs help a little, but in many cases the cost outweighs the benefits. Web Analytics The Web made it much easier to collect data on specific, yet still anonymous consumers using cookies to track visits. Clickstreams and product searches are analyzed to understand the purchase journey, gauge demand, and better understand up-selling opportunities.  Personalization begins to allow retailers target market consumers with recommendations. Cross-Channel Analytics This phase is a minor one, but where most retailers probably sit today.  They are able to use information from one channel to bolster activities in another. However, there are technical challenges combining data silos so its not an easy task.  But for those retailers that are able to perform analytics on both sources of data, the pay-off is pretty nice.  Revenue per customer begins to go up as customers have a better brand experience. Mobile & Social Analytics Big data technologies are enabling a 360-degree view of the customer by incorporating psychographic data from social sites alongside traditional demographic data.  Retailers can track individual preferences, opinions, hobbies, etc. in order to understand a consumer's motivations.  Using mobile devices, consumers can interact with brands anywhere, anytime, accessing deep product information and reviews.  Mobile, combined with a loyalty program, presents an opportunity to put shopping into geographic context, understanding paths to the store, patterns within the store, and be an always-on advertising conduit. Omni-Channel Analytics All this data along with the proper technology represents a new paradigm in which the clock is turned back and retail becomes very personal once again.  Rich, individualized data better illuminates demand, allows for highly localized assortments, and helps tailor up-selling.  Interactions with all channels help build an accurate profile of each consumer, and allows retailers to tailor the retail experience to meet the heightened expectations of today's sophisticated shopper.  And of course this culminates in greater customer satisfaction and business profitability.

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  • WebLogic Server Performance and Tuning: Part II - Thread Management

    - by Gokhan Gungor
    WebLogic Server, like any other java application server, provides resources so that your applications use them to provide services. Unfortunately none of these resources are unlimited and they must be managed carefully. One of these resources is threads which are pooled to provide better throughput and performance along with the fast response time and to avoid deadlocks. Threads are execution points that WebLogic Server delivers its power and execute work. Managing threads is very important because it may affect the overall performance of the entire system. In previous releases of WebLogic Server 9.0 we had multiple execute queues and user defined thread pools. There were different queues for different type of work which had fixed number of execute threads.  Tuning of this thread pools and finding the proper number of threads was time consuming which required many trials. WebLogic Server 9.0 and the following releases use a single thread pool and a single priority-based execute queue. All type of work is executed in this single thread pool. Its size (thread count) is automatically decreased or increased (self-tuned). The new “self-tuning” system simplifies getting the proper number of threads and utilizing them.Work manager allows your applications to run concurrently in multiple threads. Work manager is a mechanism that allows you to manage and utilize threads and create rules/guidelines to follow when assigning requests to threads. We can set a scheduling guideline or priority a request with a work manager and then associate this work manager with one or more applications. At run-time, WebLogic Server uses these guidelines to assign pending work/requests to execution threads. The position of a request in the execute queue is determined by its priority. There is a default work manager that is provided. The default work manager should be sufficient for most applications. However there can be cases you want to change this default configuration. Your application(s) may be providing services that need mixture of fast response time and long running processes like batch updates. However wrong configuration of work managers can lead a performance penalty while expecting improvement.We can define/configure work managers at;•    Domain Level: config.xml•    Application Level: weblogic-application.xml •    Component Level: weblogic-ejb-jar.xml or weblogic.xml(For a specific web application use weblogic.xml)We can use the following predefined rules/constraints to manage the work;•    Fair Share Request Class: Specifies the average thread-use time required to process requests. The default is 50.•    Response Time Request Class: Specifies a response time goal in milliseconds.•    Context Request Class: Assigns request classes to requests based on context information.•    Min Threads Constraint: Limits the number of concurrent threads executing requests.•    Max Threads Constraint: Guarantees the number of threads the server will allocate to requests.•    Capacity Constraint: Causes the server to reject requests only when it has reached its capacity. Let’s create a work manager for our application for a long running work.Go to WebLogic console and select Environment | Work Managers from the domain structure tree. Click New button and select Work manager and click next. Enter the name for the work manager and click next. Then select the managed server instances(s) or clusters from available targets (the one that your long running application is deployed) and finish. Click on MyWorkManager, and open the Configuration tab and check Ignore Stuck Threads and save. This will prevent WebLogic to tread long running processes (that is taking more than a specified time) as stuck and enable to finish the process.

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  • Big Data – ClustrixDB – Extreme Scale SQL Database with Real-time Analytics, Releases Software Download – NewSQL

    - by Pinal Dave
    There are so many things to learn and there is so little time we all have. As we have little time we need to be selective to learn whatever we learn. I believe I know quite a lot of things in SQL but I still do not know what is around SQL. I have started to learn about NewSQL recently. If you wonder what is NewSQL I encourage all of you to read my blog post about NewSQL over here Big Data – Buzz Words: What is NewSQL – Day 10 of 21. NewSQL databases are quickly becoming popular – providing the scale of NoSQL with the SQL features and transactions. As a part of learning NewSQL database, I have recently started to learn about ClustrixDB. ClustrixDB has been the most mature NewSQL database used by some of the largest internet sites in the world for over 3 years, with extensive SQL support. In addition to scale, it provides fast real-time analytics by bringing massively parallel processing (MPP), available only in warehousing databases, to the transactional database. The reason I am more intrigued about learning ClustrixDB is their recent announcement on Oct 31. ClustrixDB was only available as an appliance, but now with their software release on Oct 31, everyone can use it. It is now available as forever free for up to 12 cores with community support, and there is a 45 day trial for unlimited cluster sizes. With the forever free world, I am indeed interested in ClustrixDB now. I know that few of the leading eCommerce sites in the world uses them for their transactional database. Here are few of the details I have quickly noted for ClustrixDB. ClustrixDB allows user to: Scale by simply adding nodes to the cluster with a single command Run billions of transactions a day Run fast real-time analytics Achieve high-availability with recovery from node failure Manages itself Easily migrate from MySQL as it is nearly plug-and-play compatible, use MySQL drivers, tools and replication. While I was going through the documentation I realized that ClustrixDB also has extensive support for SQL features including complex queries involving joins on a dozen or more tables, aggregates, sorts, sub-queries. It also supports stored procedures, triggers, foreign keys, partitioned and temporary tables, and fully online schema changes. It is indeed a very matured product and SQL solution. Indeed Clusterix sound very promising solution, I decided to dig a bit deeper to understand who are current customers of the Clustrix as they exist in the industry for quite a few years. Their client list is indeed very interesting and here is my quick research about them. Twoo.com – Europe’s largest social discovery (dating) site runs 4.4 Billion Transactions a day with table sizes over a Terabyte, on a 168 core cluster. EngageBDR – Top 3 in the online advertising category uses ClustrixDB to serve 6.9 billion ads a day through real-time bidding platform. Their reports went from 4 hours to 15 seconds. NoMoreRack – Top 2 fastest growing e-commerce company in US used ClustrixDB for high availability and fast growth through Amazon cloud. MakeMyTrip – India’s leading travel site runs on ClustrixDB with two clusters running as multi-master in Chennai and Bangalore. Many enterprises such as AOL, CSC, Rakuten, Symantec use ClustrixDB when their applications need scale. I must accept that I am impressed with the information I have learned so far and now is the time to do some hand’s on experience with their product. I want to learn this technology so in future when it is about NewSQL, I know what I am talking about. Read more why Clustrix explains why you ClustrixDB might be the right database for you. Download ClustrixDB with me today and install it on your machine so in future when we discuss the technical aspects of it, we all are on the same page. The software can be downloaded here. Reference : Pinal Dave (http://blog.SQLAuthority.com)Filed under: Big Data, MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Clustrix

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  • Certify September Updates

    - by Sadia2
    We have added some release and platform certifications to MOS Certify. Applications: Oracle Demantra 12.2.2, 7.3.1.5, 7.3.1.4, 7.3.0.2.0, 7.3.0.0.0 Collaboration Technologies: Oracle Beehive 2.0.1.8.0 Database: Oracle Database Client 12.1.0.1.0, Oracle Clusterware 11.2.0.4.0, Oracle Database 11.2.0.4.0, Oracle Real Application Clusters 11.2.0.4.0 E-Business Suite: Oracle E-Business Suite 12.2.2, 12.1.3, 12.1.2, 12.1.1, 12.0.6, 11.5.10.2 Edge Applications: Oracle AutoVue 20.2.2, 20.2.1, 20.2.0 Enterprise Manager: Enterprise Manager Base Platform - OMS 12.1.0.3.0, Oracle Real User Experience Insight 12.1.0.4.0, 12.1.0.3.0, 12.1.0.1, 11.1 FSGBU Insurance Group: Oracle Health Insurance Claims 2.13.3.0.0 Fusion Middleware: Oracle Business Intelligence Applications 11.1.1.7.1, 7.9.6.4.0, Oracle Discoverer 11.1.1.6.0, Discoverer Administrator 11.1.1.6.0, Discoverer Desktop 11.1.1.6.0, Oracle JDK 1.7.0_40, 1.7.0_25", Oracle JRE 1.7.0_40, 1.7.0_25, Oracle JRockit 6u45 R28.2.7+, Oracle WebCenter Sites 11.1.1.8.0, Oracle WebCenter Sites: Community-Gadgets 11.1.1.8.0, Oracle WebCenter Sites: CIP for File Systems and MS SharePoint 11.1.1.8.0, Oracle WebCenter Sites: CIP for EMC Documentum 11.1.1.8.0 JD Edwards EnterpriseOne: JD Edwards EnterpriseOne Business Services Server 9.1.3.0, 9.1.2.0, 9.1.0.0, JD Edwards EnterpriseOne Mobile Applications 9.1.2.0 Oracle Fusion Applications: Oracle Fusion Applications 11.1.7.0.0 Primavera GBU: Primavera Unifier 9.13.0.0 Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Siebel Enterprise: Siebel Application Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Database Server 8.2.2.3.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Remote Client 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Tools Client 8.2.2.4.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.9.0, Siebel SSO Integration 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0

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  • Consumer Oriented Search In Oracle Endeca Information Discovery - Part 2

    - by Bob Zurek
    As discussed in my last blog posting on this topic, Information Discovery, a core capability of the Oracle Endeca Information Discovery solution enables businesses to search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. With search as a core advanced capabilities of our product it is important to understand some of the key differences and capabilities in the underlying data store of Oracle Endeca Information Discovery and that is our Endeca Server. In the last post on this subject, we talked about Exploratory Search capabilities along with support for cascading relevance. Additional search capabilities in the Endeca Server, which differentiate from simple keyword based "search boxes" in other Information Discovery products also include: The Endeca Server Supports Set Search.  The Endeca Server is organized around set retrieval, which means that it looks at groups of results (all the documents that match a search), as well as the relationship of each individual result to the set. Other approaches only compute the relevance of a document by comparing the document to the search query – not by comparing the document to all the others. For example, a search for “U.S.” in another approach might match to the title of a document and get a high ranking. But what if it were a collection of government documents in which “U.S.” appeared in many titles, making that clue less meaningful? A set analysis would reveal this and be used to adjust relevance accordingly. The Endeca Server Supports Second-Order Relvance. Unlike simple search interfaces in traditional BI tools, which provide limited relevance ranking, such as a list of results based on key word matching, Endeca enables users to determine the most salient terms to divide up the result. Determining this second-order relevance is the key to providing effective guidance. Support for Queries and Filters. Search is the most common query type, but hardly complete, and users need to express a wide range of queries. Oracle Endeca Information Discovery also includes navigation, interactive visualizations, analytics, range filters, geospatial filters, and other query types that are more commonly associated with BI tools. Unlike other approaches, these queries operate across structured, semi-structured and unstructured content stored in the Endeca Server. Furthermore, this set is easily extensible because the core engine allows for pluggable features to be added. Like a search engine, queries are answered with a results list, ranked to put the most likely matches first. Unlike “black box” relevance solutions, which generalize one strategy for everyone, we believe that optimal relevance strategies vary across domains. Therefore, it provides line-of-business owners with a set of relevance modules that let them tune the best results based on their content. The Endeca Server query result sets are summarized, which gives users guidance on how to refine and explore further. Summaries include Guided Navigation® (a form of faceted search), maps, charts, graphs, tag clouds, concept clusters, and clarification dialogs. Users don’t explicitly ask for these summaries; Oracle Endeca Information Discovery analytic applications provide the right ones, based on configurable controls and rules. For example, the analytic application might guide a procurement agent filtering for in-stock parts by visualizing the results on a map and calculating their average fulfillment time. Furthermore, the user can interact with summaries and filters without resorting to writing complex SQL queries. The user can simply just click to add filters. Within Oracle Endeca Information Discovery, all parts of the summaries are clickable and searchable. We are living in a search driven society where business users really seem to enjoy entering information into a search box. We do this everyday as consumers and therefore, we have gotten used to looking for that box. However, the key to getting the right results is to guide that user in a way that provides additional Discovery, beyond what they may have anticipated. This is why these important and advanced features of search inside the Endeca Server have been so important. They have helped to guide our great customers to success. 

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  • Consolidation in a Database Cloud

    - by B R Clouse
    Consolidation of multiple databases onto a shared infrastructure is the next step after Standardization.  The potential consolidation density is a function of the extent to which the infrastructure is shared.  The three models provide increasing degrees of sharing: Server: each database is deployed in a dedicated VM. Hardware is shared, but most of the software infrastructure is not. Standardization is often applied incompletely since operating environments can be moved as-is onto the shared platform. The potential for VM sprawl is an additional downside. Database: multiple database instances are deployed on a shared software / hardware infrastructure. This model is very efficient and easily implemented with the features in the Oracle Database and supporting products. Many customers have moved to this model and achieved significant, measurable benefits. Schema: multiple schemas are deployed within a single database instance. The most efficient model, it places constraints on the environment. Usually this model will be implemented only by customers deploying their own applications.  (Note that a single deployment can combine Database and Schema consolidations.) Customer value: lower costs, better system utilization In this phase of the maturity model, under-utilized hardware can be used to host more workloads, or retired and those workloads migrated to consolidation platforms. Customers benefit from higher utilization of the hardware resources, resulting in reduced data center floor space, and lower power and cooling costs. And, the OpEx savings from Standardization are multiplied, since there are fewer physical components (both hardware and software) to manage. Customer value: higher productivity The OpEx benefits from Standardization are compounded since not only are there fewer types of things to manage, now there are fewer entities to manage. In this phase, customers discover that their IT staff has time to move away from "day-to-day" tasks and start investing in higher value activities. Database users benefit from consolidating onto shared infrastructures by relieving themselves of the requirement to maintain their own dedicated servers. Also, if the shared infrastructure offers capabilities such as High Availability / Disaster Recovery, which are often beyond the budget and skillset of a standalone database environment, then moving to the consolidation platform can provide access to those capabilities, resulting in less downtime. Capabilities / Characteristics In this phase, customers will typically deploy fixed-size clusters and consolidate on a cluster until that cluster is deemed "full," at which point a new cluster is built. Customers will define one or a few cluster architectures that are used wherever possible; occasionally there may be deployments which must be handled as exceptions. The "full" policy may be based on number of databases deployed on the cluster, or observed peak workload, etc. IT will own the provisioning of new databases on a cluster, making the decision of when and where to place new workloads. Resources may be managed dynamically, e.g., as a priority workload increases, it may be given more CPU and memory to handle the spike. Users will be charged at a fixed, relatively coarse level; or in some cases, no charging will be applied. Activities / Tasks Oracle offers several tools to plan a successful consolidation. Real Application Testing (RAT) has a feature to help plan and validate database consolidations. Enterprise Manager 12c's Cloud Management Pack for Database includes a planning module. Looking ahead, customers should start planning for the Services phase by defining the Service Catalog that will be made available for database services.

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  • 11gR2 RAC ASM????

    - by Liu Maclean(???)
    11gR2 RAC?ocr?votedisk???????ASM??, ????10g??????2?RAC????????????,  ?? 11gR2 ?ASM?spfile??????ASM diskgroup???????ASM??????? ????????????,????? ASM?????mount diskgroup??????diskgroup????, ??ASM??????ASM spfile????????,?2???????? ????T.askmaclean.com?????ASM?????: hello maclean, ??spfile??ASMCMD> spget+CRSDG/rac/asmparameterfile/registry.253.787925627?????,ASM ?????ORACLE instance,?????????????diskgroup,????????????????????????????thanks.! ?????????: ?11.2??Oracle Cluterware??voting disk files?????????11.1?10.2????,11.2??voting disk file??????OCR?, ?????11.2??ocr?votedisk?????ASM? , ???11.2?voting disk file??GPNP profile??CSS voting file discovery string???? CSS voting disk file?discovery string???ASM,??????ASM discovery string???  ????????udev???????ASM???LUN, ??udev????????/dev/rasm-disk* , ????gpnptool get????gpnp profile: [grid@maclean1 trace]$ gpnptool get Warning: some command line parameters were defaulted. Resulting command line: /g01/grid/app/11.2.0/grid/bin/gpnptool.bin get -o- <?xml version="1.0" encoding="UTF-8"?><gpnp:GPnP-Profile Version="1.0" xmlns="http://www.grid-pnp.org/2005/11/gpnp-profile" xmlns:gpnp="http://www.grid-pnp.org/2005/11/gpnp-profile" xmlns:orcl="http://www.oracle.com/gpnp/2005/11/gpnp-profile" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.grid-pnp.org/2005/11/gpnp-profile gpnp-profile.xsd" ProfileSequence="9" ClusterUId="452185be9cd14ff4ffdc7688ec5439bf" ClusterName="maclean-cluster" PALocation=""><gpnp:Network-Profile><gpnp:HostNetwork id="gen" HostName="*"><gpnp:Network id="net1" IP="192.168.1.0" Adapter="eth0" Use="public"/><gpnp:Network id="net2" IP="172.168.1.0" Adapter="eth1" Use="cluster_interconnect"/></gpnp:HostNetwork></gpnp:Network-Profile>< orcl:CSS-Profile id="css" DiscoveryString="+asm" LeaseDuration="400"/><orcl:ASM-Profile id="asm" DiscoveryString="/dev/rasm*" SPFile="+SYSTEMDG/maclean-cluster/asmparameterfile/registry.253.788682933"/>< ds:Signature xmlns:ds="http://www.w3.org/2000/09/xmldsig#"><ds:SignedInfo><ds:CanonicalizationMethod Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"/><ds:SignatureMethod Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"/><ds:Reference URI=""><ds:Transforms><ds:Transform Algorithm="http://www.w3.org/2000/09/xmldsig#enveloped-signature"/><ds:Transform Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"> <InclusiveNamespaces xmlns="http://www.w3.org/2001/10/xml-exc-c14n#" PrefixList="gpnp orcl xsi"/></ds:Transform></ds:Transforms>< ds:DigestMethod Algorithm="http://www.w3.org/2000/09/xmldsig#sha1"/><ds:DigestValue>L1SLg10AqGEauCQ4ne9quucITZA=</ds:DigestValue>< /ds:Reference></ds:SignedInfo><ds:SignatureValue>rTyZm9vfcQCMuian6isnAThUmsV4xPoK2fteMc1l0GIvRvHncMwLQzPM/QrXCGGTCEvgvXzUPEKzmdX2oy5vLcztN60UHr6AJtA2JYYodmrsFwEyVBQ1D6wH+HQiOe2SG9UzdQnNtWSbjD4jfZkeQWyMPfWdKm071Ek0Rfb4nxE=</ds:SignatureValue></ds:Signature></gpnp:GPnP-Profile> Success. ?????2???: <orcl:CSS-Profile id=”css” DiscoveryString=”+asm” LeaseDuration=”400?/>==»css voting disk??+ASM<orcl:ASM-Profile id=”asm” DiscoveryString=”/dev/rasm*” SPFile=”+SYSTEMDG/maclean-cluster/asmparameterfile/registry.253.788682933?/>==»??????ASM?DiscoveryString=”/dev/rasm*”,?ASM??????????????,SPFILE???ASM Parameter FILE?ALIAS ???????GPNP???ASM Parameter FILE?ALIAS,?????ASM???????SPFILE,???Diskgroup?Mount???????ASM ALIAS?????? ??????+SYSTEMDG/maclean-cluster/asmparameterfile/registry.253.788682933??SPFILE?ASM??????: [grid@maclean1 wallets]$ sqlplus / as sysasm SQL*Plus: Release 11.2.0.3.0 Production on Tue Jul 17 05:45:35 2012 Copyright (c) 1982, 2011, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production With the Real Application Clusters and Automatic Storage Management options SQL> set linesize 140 pagesize 1400 col "FILE NAME" format a40 set head on select NAME "FILE NAME", AU_KFFXP "AU NUMBER", NUMBER_KFFXP "FILE NUMBER", DISK_KFFXP "DISK NUMBER" from x$kffxp, v$asm_alias where GROUP_KFFXP = GROUP_NUMBER and NUMBER_KFFXP = FILE_NUMBER and name in ('REGISTRY.253.788682933') order by DISK_KFFXP,AU_KFFXP; FILE NAME AU NUMBER FILE NUMBER DISK NUMBER ---------------------------------------- ---------- ----------- ----------- REGISTRY.253.788682933 39 253 1 REGISTRY.253.788682933 35 253 3 REGISTRY.253.788682933 35 253 4 SQL> col path for a50 SQL> select disk_number,path from v$asm_disk where disk_number in (1,3,4) and GROUP_NUMBER=3; DISK_NUMBER PATH ----------- -------------------------------------------------- 3 /dev/rasm-diske 4 /dev/rasm-diskf 1 /dev/rasm-diskc ?????ASM SPFILE??????(redundancy=high),????? /dev/rasm-diskc?AU=39?/dev/rasm-diske AU=35?/dev/rasm-diskf AU=35? ????kfed?????????ASM DISK?header: [grid@maclean1 wallets]$ kfed read /dev/rasm-diske|grep spfile kfdhdb.spfile: 35 ; 0x0f4: 0x00000023 [grid@maclean1 wallets]$ kfed read /dev/rasm-diskc|grep spfile kfdhdb.spfile: 39 ; 0x0f4: 0x00000027 [grid@maclean1 wallets]$ kfed read /dev/rasm-diskf|grep spfile kfdhdb.spfile: 35 ; 0x0f4: 0x00000023 ????ASM disk header?kfdhdb.spfile??ASM SPFILE???DISK??AU NUMBER????, ASM???????????GPNP PROFILE?? DiscoveryString?????????,????ASM disk header?????kfdhdb.spfile??????,?????MOUNT DISKGROUP??????ASM SPFILE,?????ASM, ?????????????????

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  • apache mod_jk loadbalancing issue for glassfish cluster instances

    - by SibzTer
    I have a JEE ear application deployed on 2 clusters with 2 instances each on Glassfish v3.1. These are load balanced by an Apache server running on the same machine. My problem is that I am frequently seeing the following error messages frequently in the mod_jk.log file. Can you help me understand what the issue is? [Mon Jun 13 09:37:51 2011] [7116:7852] [info] ajp_process_callback::jk_ajp_common.c (1885): Writing to client aborted or client network problems [Mon Jun 13 09:37:51 2011] [7116:7852] [info] ajp_service::jk_ajp_common.c (2543): (viewerLocalInstance4) sending request to tomcat failed (unrecoverable), because of client write error (attempt=1) [Mon Jun 13 09:37:51 2011] loadbalancerLocal myServer 0.062500 [Mon Jun 13 09:37:51 2011] [7116:6512] [info] ajp_process_callback::jk_ajp_common.c (1885): Writing to client aborted or client network problems [Mon Jun 13 09:37:51 2011] [7116:6512] [info] ajp_service::jk_ajp_common.c (2543): (viewerLocalInstance4) sending request to tomcat failed (unrecoverable), because of client write error (attempt=1) [Mon Jun 13 09:37:52 2011] [7116:3080] [info] ajp_process_callback::jk_ajp_common.c (1885): Writing to client aborted or client network problems [Mon Jun 13 09:37:52 2011] [7116:3080] [info] ajp_service::jk_ajp_common.c (2543): (viewerLocalInstance4) sending request to tomcat failed (unrecoverable), because of client write error (attempt=1) [Mon Jun 13 09:38:21 2011] [7116:6512] [info] service::jk_lb_worker.c (1388): service failed, worker viewerLocalInstance4 is in local error state [Mon Jun 13 09:38:21 2011] [7116:7852] [info] service::jk_lb_worker.c (1388): service failed, worker viewerLocalInstance4 is in local error state [Mon Jun 13 09:38:21 2011] [7116:6512] [info] service::jk_lb_worker.c (1407): unrecoverable error 200, request failed. Client failed in the middle of request, we can't recover to another instance. [Mon Jun 13 09:38:21 2011] [7116:7852] [info] service::jk_lb_worker.c (1407): unrecoverable error 200, request failed. Client failed in the middle of request, we can't recover to another instance. [Mon Jun 13 09:38:21 2011] loadbalancerLocal myServer 29.046875 [Mon Jun 13 09:38:21 2011] loadbalancerLocal myServer 29.171875 [Mon Jun 13 09:38:21 2011] [7116:6512] [info] jk_handler::mod_jk.c (2620): Aborting connection for worker=loadbalancerLocal [Mon Jun 13 09:38:21 2011] [7116:7852] [info] jk_handler::mod_jk.c (2620): Aborting connection for worker=loadbalancerLocal [Mon Jun 13 09:38:21 2011] [7116:7852] [info] ajp_process_callback::jk_ajp_common.c (1885): Writing to client aborted or client network problems [Mon Jun 13 09:38:21 2011] [7116:7852] [info] ajp_service::jk_ajp_common.c (2543): (viewerLocalInstance4) sending request to tomcat failed (unrecoverable), because of client write error (attempt=1) [Mon Jun 13 09:38:21 2011] loadbalancerLocal myServer 0.156250 [Mon Jun 13 09:38:21 2011] loadbalancerLocal myServer 0.062500 [Mon Jun 13 09:38:22 2011] [7116:3080] [info] service::jk_lb_worker.c (1388): service failed, worker viewerLocalInstance4 is in local error state [Mon Jun 13 09:38:22 2011] [7116:3080] [info] service::jk_lb_worker.c (1407): unrecoverable error 200, request failed. Client failed in the middle of request, we can't recover to another instance.

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  • SQL Server High Availability - Mirroring with MSCS?

    - by David
    I'm looking at options for high-availability for my SQL Server-powered application. The requirements are: HA protection from storage failure. Data accessibility when one of the DB servers is undergoing software updates (e.g. planned outage for Windows Update / SQL Server service-packs). Must not involve much in the way of hardware procurement. The application is an ASP.NET web application. The web application's users have their own database instances. I've seen two main options: SQL Server failover clustering, and SQL Server mirroring. I understand that SQL Server Failover Clustering requires the purchasing of a shared disk array and doesn't offer any protection if the shared storage goes down (so the documentation recommends to set up a Mirroring between two clusters). Database Mirroring seems the cheaper option (as it only requires two database servers and a simple witness box) - but I've heard it doesn't work well when you have a large number of databases. The application I'm developing involves giving each client their own database for their application - there could be hundreds of databases. Setting up the mirroring is no problem thanks to the automation systems we have in place. My final point concerns how failover works with respect to client connections - SQL Server Failover Clustering uses MSCS which means that the cluster is invisible to clients - a connection attempt might fail during the failover, but a simple reconnect will have it working again. However mirroring, as far as I know, requires that the client be aware of the mirrored partners: if the client cannot connect to the primary server then it tries the secondary server. I'm wondering how this work with respect to Connection Pooling in ASP.NET applications - does the client connection failovering mean that there's a potential 2-second (assuming 2000ms TCP timeout policy) pause when the connection pool tries the primary server on every connection attempt? I read somewhere that Mirroring can be used on top of MSCS which means that the client does not need to be aware of mirroring (so there wouldn't be any potential delays during connection, and also that no changes would need to be made to the client, not even the connection string) - however I'm finding it hard to get documentation or white papers on this approach. But if true, then it means the best method is then Mirroring (for HA) with MSCS (for client ignorance and connection performance). ...but how does this scale to a server instance that might contain hundreds of mirrored databases?

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  • XCP Project Kronos syslog error: "irq ... : nobody cared" on Dom0 host

    - by Vlad Fedin
    One of our production clusters driven by XCP suddenly went uresponsive. After restart and some investigation we found such logs in dom0 machine syslog: Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659040] irq 339: nobody cared (try booting with the "irqpoll" option) Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659058] Pid: 0, comm: swapper/3 Tainted: G C O 3.2.0-24-generic #37-Ubuntu Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659060] Call Trace: Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659062] <IRQ> [<ffffffff810db37d>] __report_bad_irq+0x3d/0xe0 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659071] [<ffffffff810db605>] note_interrupt+0x135/0x190 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659074] [<ffffffff810d8e69>] handle_irq_event_percpu+0xa9/0x220 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659078] [<ffffffff8130ff3b>] ? radix_tree_lookup+0xb/0x10 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659081] [<ffffffff810d9031>] handle_irq_event+0x51/0x80 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659084] [<ffffffff810dc187>] handle_edge_irq+0x87/0x140 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659089] [<ffffffff813a8829>] __xen_evtchn_do_upcall+0x199/0x250 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659092] [<ffffffff813aa96f>] xen_evtchn_do_upcall+0x2f/0x50 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659096] [<ffffffff81666d3e>] xen_do_hypervisor_callback+0x1e/0x30 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659097] <EOI> [<ffffffff810013aa>] ? hypercall_page+0x3aa/0x1000 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659104] [<ffffffff810013aa>] ? hypercall_page+0x3aa/0x1000 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659107] [<ffffffff8100a1d0>] ? xen_safe_halt+0x10/0x20 Oct 26 20:32:03 hetzner-2-mrx kernel: [1797931.659110] [<fff IRQ 339 in cat /proc/interrupts: 339: ... xen-pirq-msi-x eth0 where eth0 is hardware NIC. While host machine seems to hang, guest machines continue to work, so our tiny internal monitoring on one of the virtual hosts logged something like that: [2012-10-26 20:31:51] [OK......] 200 OK : 113159149 ns [2012-10-26 20:32:40] [DISASTER] 500 Can't connect to [hostname]:80 (No route to host) : 47763284432 ns ... [2012-10-26 20:34:40] [DISASTER] 500 Can't connect to [hostname]:80 (No route to host) : 46894835070 ns [2012-10-26 20:34:57] [DISASTER] 500 Can't connect to [hostname]:80 (Bad hostname) : 16821741955 ns ... [2012-10-26 20:38:18] [DISASTER] 500 Can't connect to [hostname]:80 (Bad hostname) : 20103298289 ns [2012-10-26 20:38:37] [DISASTER] 500 Can't connect to [hostname]:80 (Bad hostname) : 17895754943 ns Host and guest OS: Ubuntu 12.04 LTS, 05:00.0 Ethernet controller: Intel Corporation 82574L Gigabit Network Connection Subsystem: ASUSTeK Computer Inc. Device 8369 Control: I/O+ Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx+ Status: Cap+ 66MHz- UDF- FastB2B- ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx+ Latency: 0, Cache Line Size: 64 bytes Interrupt: pin A routed to IRQ 17 Region 0: Memory at fe500000 (32-bit, non-prefetchable) [size=128K] Region 2: I/O ports at e000 [size=32] Region 3: Memory at fe520000 (32-bit, non-prefetchable) [size=16K] Capabilities: <access denied> Kernel driver in use: e1000e Kernel modules: e1000e Any hints how to debug this?

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  • How should we serve files in a small bioinformatics cluster?

    - by cespinoza
    We have a small cluster of six ubuntu servers. We run bioinformatics analyses on these clusters. Each analysis takes about 24 hours to complete, each core i7 server can handle 2 at a time, takes as input about 5GB data and outputs about 10-25GB of data. We run dozens of these a week. The software is a hodgepodge of custom perl scripts and 3rd party sequence alignment software written in C/C++. Currently, files are served from two of the compute nodes (yes, we're using compute nodes as file servers)-- each node has 5 1TB sata drives mounted separately (no raid) and is pooled via glusterfs 2.0.1. They each have as 3 bonded intel ethernet pci gigabit ethernet cards, attached to a d-link DGS-1224T switch ($300 24 port consumer-level). We are not currently using jumbo frames (not sure why, actually). The two file-serving compute nodes are then mirrored via glusterfs. Each of the four other nodes mounts the files via glusterfs. The files are all large (4gb+), and are stored as bare files (no database/etc) if that matters. As you can imagine, this is a bit of a mess that grew organically without forethought and we want to improve it now that we're running out of space. Our analyses are I/O intensive and it is a bottle neck-- we're only getting 140mB/sec between the two fileservers, maybe 50mb/sec from the clients (which only have single NICs). We have a flexible budget which I can probably get up $5k or so. How should we spend our budget? We need at least 10TB of storage fast enough to serve all nodes. How fast/big does the cpu/memory of such a file server have to be? Should we use NFS, ATA over Ethernet, iSCSI, Glusterfs, or something else? Should we buy two or more servers and create some sort of storage cluster, or is 1 server enough for such a small number of nodes? Should we invest in faster NICs (say, PCI-express cards with multiple connectors)? The switch? Should we use raid, if so, hardware or software? and which raid (5, 6, 10, etc)? Any ideas appreciated. We're biologists, not IT gurus.

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  • FAT Volume and CE

    - by Kate Moss' Open Space
    Whenever we format a disk volume, it is a good idea to name the label so it will be easier to categorize. To label a volume, we can use LABEL command or UI depends on your preference. Windows CE does provide FAT driver and support various format (FAT12, FAT16,FAT32, ExFAT and TFAT - transaction-safe FAT) and many feature to let you scan and even defrag the volume but not labeling. At any time you format a volume in CE and then mount it on PC, the label is always empty! Of course, you can always label the volume on PC, even it is formatted in CE. So looks like CE does not care about the volume label at all, neither report the label to OS nor changing the label on FAT.So how can we set the volume label in CE? To Answer this question, we need to know how does FAT stores the volume label. Here are some on-line resources are handy for parsing FAT. http://en.wikipedia.org/wiki/File_Allocation_Table http://www.pjrc.com/tech/8051/ide/fat32.html http://www.microsoft.com/whdc/system/platform/firmware/fatgen.mspx You can refer to PUBLIC\COMMON\OAK\DRIVERS\FSD\FATUTIL\MAIN\bootsec.h and dosbpb.h or the above links for the fields we discuss here. The first sector of a FAT Volume (it is not necessary to be the first sector of a disk.) is a FAT boot sector and BPB (BIOS Parameter Block). And at offset 43, bgbsVolumeLabel (or bsVolumeLabel on FAT16) is for storing the volume lable, but note in the spec also indicates "FAT file system drivers should make sure that they update this field when the volume label file in the root directory has its name changed or created.". So we can't just simply update the bgbsVolumeLabel but also need to create a volume lable file in root directory. The volume lable file is not a real file but just a file entry in root directory with zero file lenth and a very special file attribute, ATTR_VOLUME_ID. (defined in public\common\oak\drivers\fsd\fatutil\MAIN\fatutilp.h) Locating and accessing bootsector is quite straight forward, as long as we know the starting sector of a FAT volume, that's it. But where is the root directory? The layout of a typical FAT is like this Boot sector (Volume ID in the figure) followed by Reserved Sectors (1 on FAT12/16 and 32 on FAT32), then FAT chain table(s) (can be 1 or 2), after that is the root directory (FAT12/16 and not shows in the figure) then begining of the File and Directories. In FAT12/16, the root directory is placed right after FAT so it is not hard to caculate the offset in the volume. But in FAT32, this rule is no longer true: the first cluster of the root directory is determined by BGBPB_RootDirStrtClus (or offset 44 in boot sector). Although this field is usually 0x00000002 (it is how CE initial the root directory after formating a volume. Note we should never assume it is always true) which means the first cluster contains data but not like the root directory is contiguous in FAT12/16, it is just like a regular file can be fragmented. So we need to access the root directory (of FAT32) hopping one cluster to another by traversing FAT table. Let's trace the code now. Although the source of FAT driver is not available in CE Shared Source program, but the formatter, Fatutil.dll, is available in public\common\oak\drivers\fsd\fatutil\MAIN\formatdisk.cpp. Be aware the public code only provides formatter for FAT12/16/32 for ExFAT it is still not available. FormatVolumeInternal is the main worker function. With the knowledge here, you should be able the trace the code easily. But I would like to discuss the following code pieces     dwReservedSectors = (fo.dwFatVersion == 32) ? 32 : 1;     dwRootEntries = (fo.dwFatVersion == 32) ? 0 : fo.dwRootEntries; Note the dwReservedSectors is 32 in FAT32 and 1 in FAT12/16. Root Entries is another different mentioned in previous paragraph, 0 for FAT32 (dynamic allocated) and fixed size (usually 512, defined in DEFAULT_ROOT_ENTRIES in public\common\sdk\inc\fatutil.h) And then here   memset(pBootSec->bsVolumeLabel, 0x20, sizeof(pBootSec->bsVolumeLabel)); It sets the Volume Label as empty string. Now let's carry on to the next section - write the root directory.     if (fo.dwFatVersion == 32) {         if (!(fo.dwFlags & FATUTIL_FORMAT_TFAT)) {             dwRootSectors = dwSectorsPerCluster;         }         else {             DIRENTRY    dirEntry;             DWORD       offset;             int               iVolumeNo;             memset(pbBlock, 0, pdi->di_bytes_per_sect);             memset(&dirEntry, 0, sizeof(DIRENTRY));                         dirEntry.de_attr = ATTR_VOLUME_ID;             // the first one is volume label             memcpy(dirEntry.de_name, "TFAT       ", sizeof (dirEntry.de_name));             memcpy(pbBlock, &dirEntry, sizeof(dirEntry));              ...             // Skip the next step of zeroing out clusters             dwCurrentSec += dwSectorsPerCluster;             dwRootSectors = 0;         }     }     // Each new root directory sector needs to be zeroed.     memset(pbBlock, 0, cbSizeBlk);     iRootSec=0;     while ( iRootSec < dwRootSectors) { Basically, the code zero out the each entry in root directory depends on dwRootSectors. In FAT12/16, the dwRootSectors is calculated as the sectors we need for the root entries (512 for most of the case) and in FAT32 it just zero out the one cluster. Please note that, if it is a TFAT volume, it initialize the root directory with special volume label entries for some special purpose. Despite to its unusual initialization process for TFAT, it does provide a example for how to create a volume entry. With some minor modification, we can assign the volume label in FAT formatter and also remember to sync the volume label with bsVolumeLabel or bgbsVolumeLabel in boot sector.

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  • Configure Oracle SOA JMSAdatper to Work with WLS JMS Topics

    - by fip
    The WebLogic JMS Topic are typically running in a WLS cluster. So as your SOA composites that receive these Topic messages. In some situation, the two clusters are the same while in others they are sepearate. The composites in SOA cluster are subscribers to the JMS Topic in WebLogic cluster. As nature of JMS Topic is meant to distribute the same copy of messages to all its subscribers, two questions arise immediately when it comes to load balancing the JMS Topic messages against the SOA composites: How to assure all of the SOA cluster members receive different messages instead of the same (duplicate) messages, even though the SOA cluster members are all subscribers to the Topic? How to make sure the messages are evenly distributed (load balanced) to SOA cluster members? Here we will walk through how to configure the JMS Topic, the JmsAdapter connection factory, as well as the composite so that the JMS Topic messages will be evenly distributed to same composite running off different SOA cluster nodes without causing duplication. 2. The typical configuration In this typical configuration, we achieve the load balancing of JMS Topic messages to JmsAdapters by configuring a partitioned distributed topic along with sharable subscriptions. You can reference the documentation for explanation of PDT. And this blog posting does a very good job to visually explain how this combination of configurations would message load balancing among clients of JMS Topics. Our job is to apply this configuration in the context of SOA JMS Adapters. To do so would involve the following steps: Step A. Configure JMS Topic to be UDD and PDT, at the WebLogic cluster that house the JMS Topic Step B. Configure JCA Connection Factory with proper ServerProperties at the SOA cluster Step C. Reference the JCA Connection Factory and define a durable subscriber name, at composite's JmsAdapter (or the *.jca file) Here are more details of each step: Step A. Configure JMS Topic to be UDD and PDT, You do this at the WebLogic cluster that house the JMS Topic. You can follow the instructions at Administration Console Online Help to create a Uniform Distributed Topic. If you use WebLogic Console, then at the same administration screen you can specify "Distribution Type" to be "Uniform", and the Forwarding policy to "Partitioned", which would make the JMS Topic Uniform Distributed Destination and a Partitioned Distributed Topic, respectively Step B: Configure ServerProperties of JCA Connection Factory You do this step at the SOA cluster. This step is to make the JmsAdapter that connect to the JMS Topic through this JCA Connection Factory as a certain type of "client". When you configure the JCA Connection Factory for the JmsAdapter, you define the list of properties in FactoryProperties field, in a semi colon separated list: ClientID=myClient;ClientIDPolicy=UNRESTRICTED;SubscriptionSharingPolicy=SHARABLE;TopicMessageDistributionAll=false You can refer to Chapter 8.4.10 Accessing Distributed Destinations (Queues and Topics) on the WebLogic Server JMS of the Adapter User Guide for the meaning of these properties. Please note: Except for ClientID, other properties such as the ClientIDPolicy=UNRESTRICTED, SubscriptionSharingPolicy=SHARABLE and TopicMessageDistributionAll=false are all default settings for the JmsAdapter's connection factory. Therefore you do NOT have to explicitly specify them explicitly. All you need to do is the specify the ClientID. The ClientID is different from the subscriber ID that we are to discuss in the later steps. To make it simple, you just need to remember you need to specify the client ID and make it unique per connection factory. Here is the example setting: Step C. Reference the JCA Connection Factory and define a durable subscriber name, at composite's JmsAdapter (or the *.jca file) In the following example, the value 'MySubscriberID-1' was given as the value of property 'DurableSubscriber': <adapter-config name="subscribe" adapter="JMS Adapter" wsdlLocation="subscribe.wsdl" xmlns="http://platform.integration.oracle/blocks/adapter/fw/metadata"> <connection-factory location="eis/wls/MyTestUDDTopic" UIJmsProvider="WLSJMS" UIConnectionName="ateam-hq24b"/> <endpoint-activation portType="Consume_Message_ptt" operation="Consume_Message"> <activation-spec className="oracle.tip.adapter.jms.inbound.JmsConsumeActivationSpec"> <property name="DurableSubscriber" value="MySubscriberID-1"/> <property name="PayloadType" value="TextMessage"/> <property name="UseMessageListener" value="false"/> <property name="DestinationName" value="jms/MyTestUDDTopic"/> </activation-spec> </endpoint-activation> </adapter-config> You can set the durable subscriber name either at composite's JmsAdapter wizard,or by directly editing the JmsAdapter's *.jca file within the Composite project. 2.The "atypical" configurations: For some systems, there may be restrictions that do not allow the afore mentioned "typical" configurations be applied. For examples, some deployments may be required to configure the JMS Topic to be Replicated Distributed Topic rather than Partition Distributed Topic. We would like to discuss those scenarios here: Configuration A: The JMS Topic is NOT PDT In this case, you need to define the message selector 'NOT JMS_WL_DDForwarded' in the adapter's *.jca file, to filter out those "replicated" messages. Configuration B. The ClientIDPolicy=RESTRICTED In this case, you need separate factories for different composites. More accurately, you need separate factories for different *.jca file of JmsAdapter. References: Managing Durable Subscription WebLogic JMS Partitioned Distributed Topics and Shared Subscriptions JMS Troubleshooting: Configuring JMS Message Logging: Advanced Programming with Distributed Destinations Using the JMS Destination Availability Helper API

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  • Training on Demand Certification Packages for DBAs

    - by Antoinette O'Sullivan
    The demand for Database Administrators continues to grow.*Almost two-thirds of IT hiring managers indicate that they highly value certifications in validatingIT skills and expertise.** * Job satisfaction and DBA work growth rate: CNN Money's 2011 Best Jobs in America survey.** Survey among nearly 1,700 respondents by CompTIA, the nonprofit trade association for the IT industry, cited in Certification Magazine, Feb. 14 th., 2012. Get Certified with Training on DemandAre you an experienced Database professional eager to achieve certification?Is time your most precious resource?Then try our new Training On Demand Certification Value Package with 20% discount. These all-in-one packages give you everything you need to get certified with success: Why Training On Demand:  Expert training from Oracle’s top instructors Sophisticated streaming video recording Available for 90 days, 24 hours a day, 7 days a week White boarding and training labs for hands-on experience Start, stop, pause, jump or rewind sections of the course as needed  Oracle University instructor Q&A  A full-text search leads to the right video fragment in a matter of seconds. Watch this demo to see how it works. Additional Certification resources: Benefits of Oracle Certification Database Certification Paths Available Database Certification Exams Getting certified has never been easier!For assistance contact your local Oracle University Service Desk. Many organizations deploy both Oracle Database and MySQL side by side to serve different needs, and as a database professional you can find training courses on both topics at Oracle University! Check out the upcoming Oracle Database 11g training courses and MySQL training courses. Even if you're only managing Oracle Databases at this point of time, getting familiar with MySQL Database will broaden your career path with growing job demand. These Value Packages are also available with the following training formats: In-Class, Live Virtual Class and Self Study: MySQL Database Administration Value Packages Your Savings plus get a FREE Retake  save 5% save 20% save 20% save 20%   In Class Edition Live Virtual Class Edition Self-Study Edition Training On Demand MySQL Database Administrator Certification Value Package View Package View Package View Package View Package MySQL Developer Value Packages Your Savings plus get a FREE Retake  save 5% save 20% save 20% save 20%   In Class Edition Live Virtual Class Edition Self-Study Edition Training On Demand       MySQL Developer Certification Value Package View Package View Package     Oracle Database 10g Value Packages Your Savings plus get a FREE Retake  save 5% save 20% save 20% save 20%   In Class Edition Live Virtual Class Edition Self-Study Edition Training On Demand Oracle Database 10g Administrator Certified Associate Certification Value Package View Package View Package View Package   Oracle Database 10g Administrator Certified Professional Certification Value Package View Package View Package View Package   Oracle Database 11g Value Packages Your Savings plus get a FREE Retake  save 5% save 20% save 20% save 20%   In Class Edition Live Virtual Class Edition Self-Study Edition Training On Demand Oracle Database 11g Administrator Certified Associate Certification Value Package View Package View Package View Package View Package Oracle Database 11g Administrator Certified Professional Certification Value Package View Package View Package View Package View Package Exam Prep Seminar Value Package: Oracle Database Admin 1       View Package Oracle Database 11g Administrator Certified Professional UPGRADE Certification Value Package       View Package Oracle Real Application Clusters 11g and Grid Infrastructure Administraton Certified Expert Certification Value Package       View Package Exam Prep Seminar Value Package: Oracle Database Admin 2        View Package Exam Prep Seminar Value Package: Oracle RAC 11g and Grid Infrastructure Administration       View Package Exam Prep Seminar Value Package: Upgrade Oracle Certified Professional (OCP) to Oracle Database 11g       View Package SQL and PL/SQL Value Packages Your Savings plus get a FREE Retake  save 5% save 20% save 20% save 20%   In Class Edition Live Virtual Class Edition Self-Study Edition Training On Demand Oracle Database Sql Expert Certification Value Package View Package View Package View Package View Package Exam Prep Seminar Value Package: Oracle Database SQL       View Package View our Certification Value Packages Mention this code at the time of booking: E1245 Connect For a full list of MySQL Training courses and events, go to http://oracle.com/education/mysql.

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  • Oracle Database 12c: Oracle Multitenant Option

    - by hamsun
    1. Why ? 2. What is it ? 3. How ? 1. Why ? The main idea of the 'grid' is to share resources, to make better use of storage, CPU and memory. If a database administrator wishes to implement this idea, he or she must consolidate many databases to one database. One of the concerns of running many applications together in one database is: ‚what will happen, if one of the applications must be restored because of a human error?‘ Tablespace point in time recovery can be used for this purpose, but there are a few prerequisites. Most importantly the tablespaces are strictly separated for each application. Another reason for creating separated databases is security: each customer has his own database. Therefore, there is often a proliferation of smaller databases. Each of them must be maintained, upgraded, each allocates virtual memory and runs background processes thereby wasting resources. Oracle 12c offers another possibility for virtualization, providing isolation at the database level: the multitenant container database holding pluggable databases. 2. What ? Pluggable databases are logical units inside a multitenant container database, which consists of one multitenant container database and up to 252 pluggable databases. The SGA is shared as are the background processes. The multitenant container database holds metadata information common for pluggable databases inside the System and the Sysaux tablespace, and there is just one Undo tablespace. The pluggable databases have smaller System and Sysaux tablespaces, containing just their 'personal' metadata. New data dictionary views will make the information available either on pdb (dba_views) or container level (cdb_views). There are local users, which are known in specific pluggable databases and common users known in all containers. Pluggable databases can be easily plugged to another multitenant container database and converted from a non-CDB. They can undergo point in time recovery. 3. How ? Creating a multitenant container database can be done using the database configuration assistant: There you find the new option: Create as Container Database. If you prefer ‚hand made‘ databases you can execute the command from a instance in nomount state: CREATE DATABASE cdb1 ENABLE PLUGGABLE DATABASE …. And of course this can also be achieved through Enterprise Manager Cloud. A freshly created multitenant container database consists of two containers: the root container as the 'rack' and a seed container, a template for future pluggable databases. There are 4 ways to create other pluggable databases: 1. Create an empty pdb from seed 2. Plug in a non-CDB 3. Move a pdb from another pdb 4. Copy a pdb from another pdb We will discuss option2: how to plug in a non_CDB into a multitenant container database. Three different methods are available : 1. Create an empty pdb and use Datapump in traditional export/import mode or with Transportable Tablespace or Database mode. This method is suitable for pre 12c databases. 2. Create an empty pdb and use GoldenGate replication. When the pdb catches up with the non-CDB, you fail over to the pdb. 3. Databases of Version 12c or higher can be plugged in with the help of the new dbms_pdb Package. This is a demonstration for method 3: Step1: Connect to the non-CDB to be plugged in and create an xml File with description of the database. The xml file is written to $ORACLE_HOME/dbs per default and contains mainly information about the datafiles. Step 2: Check if the non-CDB is pluggable in the multitenant container database: Step 3: Create the pluggable database, connected to the Multitenant container database. With nocopy option the files will be reused, but the tempfile is created anew: A service is created and registered automatically with the listener: Step 4: Delete unnecessary metadata from PDB SYSTEM tablespace: To connect to newly created pdb, edit tnsnames.ora and add entry for new pdb. Connect to plugged-in non_CDB and clean up Data Dictionary to remove entries now maintained in multitenant container database. As all kept objects have to be recompiled it will take a few minutes. Step 5: The plugged-in database will be automatically synchronised by creating common users and roles when opened the first time in read write mode. Step 6: Verify tablespaces and users: There is only one local tablespace (users) and one local user (scott) in the plugged-in non_CDB pdb_orcl. This method of creating plugged_in non_CDB from is fast and easy for 12c databases. The method for deplugging a pluggable database from a CDB is to create a new non_CDB and use the the new full transportable feature of Datapump and drop the pluggable database. About the Author: Gerlinde has been working for Oracle University Germany as one of our Principal Instructors for over 14 years. She started with Oracle 7 and became an Oracle Certified Master for Oracle 10g and 11c. She is a specialist in Database Core Technologies, with profound knowledge in Backup & Recovery, Performance Tuning for DBAs and Application Developers, Datawarehouse Administration, Data Guard and Real Application Clusters.

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  • top tweets WebLogic Partner Community – March 2012

    - by JuergenKress
    Send us your tweets @wlscommunity #WebLogicCommunity and follow us on twitter http://twitter.com/wlscommunity PeterPaul ? RT @JDeveloper: EJB 3 Deployment guide for WebLogic Server Version: 10.3.4.0 dlvr.it/1J5VcV Andrejus Baranovskis ?Open ADF PopUp on Page Load fb.me/1Rx9LP3oW Sten Vesterli ? RT @OracleBlogs: Using the Oracle E-Business Suite SDK for Java on ADF Applications ow.ly/1hVKbB <- Neat! No more WS calls Java Buddy ?JavaFX 2.0: Example of MediaPlay java-buddy.blogspot.com/2012/03/javafx… Georges Saab Build improvements coming to #openJDK for #jdk8 mail.openjdk.java.net/pipermail/buil… NetBeans Team Share your #Java experience! JavaOne 2012 India call for papers: ow.ly/9xYg0 GlassFish ? GlassFish 3.1.2 Screencasts & Videos – bit.ly/zmQjn2 chriscmuir ?G+: New blog post: ADF Runtimes vs WLS versions as of JDeveloper 11.1.1.6.0 – bit.ly/y8tkgJ Michael Heinrichs New article: Creating a Sprite Animation with JavaFX blog.netopyr.com/2012/03/09/cre… Oracle WebLogic ? #WebLogic Devcast Webinar Series for March: Enterprise Java Scale Out, JPA, Distributed Grid Data Cache bit.ly/zeUXEV #Coherence Andrejus Baranovskis ?Extending Application Module for ADF BC Proxy User DB Connection fb.me/Bj1hLUqm OTNArchBeat ? Oracle Fusion Middleware on JDK 7 | Mark Nelson bit.ly/w7IroZ OTNArchBeat ? Java Champion Jonas Bonér Explains the Akka Platform bit.ly/x2GbXm Adam Bien ? (Java) FX Experience Tools–Feels Like Native Mac App: FX Experience Tools application comes with a native Mac O… bit.ly/waHF3H GlassFish ? GlassFish new recruit and Eclipse integration progress – bit.ly/y5eEkk JDeveloper & ADF Prototyping ADF Libraries dlvr.it/1Hhnw0 Eric Elzinga ?Oracle Fusion Middleware on JDK 7, bit.ly/xkphFQ ADF EMG ? Working with ADF in Arabic, Hebrew or other right-to-left-written language? Oracle UX asks for your help. groups.google.com/forum/?fromgro… Java ? A simple #JavaFX Login Form with a TRON like effect ow.ly/9n9AG JDeveloper & ADF ? Logging in Oracle ADF Applications dlvr.it/1HZhcX OTNArchBeat ? Oracle Cloud Conference: dates and locations worldwide bit.ly/ywXydR UK Oracle User Group ? Simon Haslam, ACE Director present on #WebLogic for DBAs at #oug_ire2012 j.mp/zG6vz3 @oraclewebcenter @oracleace #dublin Steven Davelaar ? Working with ADF and not a member of ADF EMG? You miss lots of valuable info, join now! sites.google.com/site/oracleemg… Simon Haslam @MaciejGruszka: Oracle plans to provide Forms & Reports plug-in for OVAB next year to help deployment. #ukoug MW SIG GlassFish ? Introducing JSR 357: Social Media API – bit.ly/yC8vez JAX London ? Are you coming to Java EE workshops by @AdamBien at JAX Days? Save £100 by registering today. #jaxdays #javaee jaxdays.com WebLogic Community ?Welcome to our Munich WebLogic 12c Bootcamp in Munich! If you also want to attend a training register for the Community oracle.com/partners/goto/… chriscmuir ? My first webcast for Oracle! (be kind) Basing ADF Business Component View Objects on More that one Entity Object bit.ly/ArKija OTNArchBeat ? Oracle Weblogic Server 12c is available on Oracle Solaris 11 (SPARC and x86) bit.ly/xE3TLg JDeveloper & ADF ? Basing ADF Business Component View Objects on More that one Entity Object – YouTube dlvr.it/1H93Qr OTNArchBeat ? Application-Driven Virtualization with Oracle Virtual Assembly Builder | Ronen Kofman bit.ly/wF1C1N Oracle WebLogic ? Steve Button’s blog: WebLogic Server Singleton Services ow.ly/1hOu4U Barbara Ann May ?@oracledevtools: New update: #NetBeans IDE 7.1.1, with support for #GlassFish 3.1.2 bit.ly/mOLcQd #java #developer OTNArchBeat ? Using Coherence with JDeveloper: bit.ly/AkoEQb WebLogic Community ? WebLogic Partner Community Newsletter February 2012 wp.me/p1LMIb-f3 GlassFish ? GlassFish 3.1.2 – new Podcast episode : bit.ly/wc6oBE Frank Nimphius ?Cool! Open JDeveloper 11.1.1.5, go help–>check for updates. First thing shown is that 11.1.1.6 is available. Never miss a new release Adam Bien ?5 Minutes (Video) With Java EE …Or With NetBeans + GlassFish: This screencast covers a 5-minute development of a… bit.ly/xkOJMf WebLogic Community ? Free Oracle WebLogic Certification Application Grid Implementation Specialist wp.me/p1LMIb-eT OTNArchBeat ?Oracle Coherence: First Steps Using Clusters and Basic API Usage | Ricardo Ferreira bit.ly/yYQ3Wz GlassFish ? JMS 2.0 Early Draft is here – bit.ly/ygT1VN OTNArchBeat ? Exalogic Networking Part 2 | The Old Toxophilist bit.ly/xuYMIi OTNArchBeat ?New Release: GlassFish Server 3.1.2. Read All About It! | Paul Davies bit.ly/AtlGxo Oracle WebLogic ?OTN Virtual Developer Day: #WebLogic 12c & #Coherence ost-conference on-demand page live with bonus #Virtualbox lab – bit.ly/xUy6BJ Oracle WebLogic ? Steve Button’s blog: WebLogic Server 11g (10.3.6) Documentation ow.ly/1hJgUB Lucas Jellema ? Just published an article on the AMIS blog: technology.amis.nl/2012/03/adf-11… ADF 11g – programmatically sorting rich table columns. Java Certification ? New Course! Learn how to create mobile applications using Java ME: bit.ly/xZj1Jh Simon Haslam ? @MaciejGruszka WebLogic 12c can run against 11g domain config without changes …and can rollback to 11. #ukoug MW SIG Justin Kestelyn ? Learn Advanced ADF, free and online bit.ly/wEKSRc WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: twitter,WebLogic,WebLogic Community,OPN,Oracle,Jürgen Kress,WebLogic 12c

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  • Big Data – Various Learning Resources – How to Start with Big Data? – Day 20 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned how to become a Data Scientist for Big Data. In this article we will go over various learning resources related to Big Data. In this series we have covered many of the most essential details about Big Data. At the beginning of this series, I have encouraged readers to send me questions. One of the most popular questions is - “I want to learn more about Big Data. Where can I learn it?” This is indeed a great question as there are plenty of resources out to learn about Big Data and it is indeed difficult to select on one resource to learn Big Data. Hence I decided to write here a few of the very important resources which are related to Big Data. Learn from Pluralsight Pluralsight is a global leader in high-quality online training for hardcore developers.  It has fantastic Big Data Courses and I started to learn about Big Data with the help of Pluralsight. Here are few of the courses which are directly related to Big Data. Big Data: The Big Picture Big Data Analytics with Tableau NoSQL: The Big Picture Understanding NoSQL Data Analysis Fundamentals with Tableau I encourage all of you start with this video course as they are fantastic fundamentals to learn Big Data. Learn from Apache Resources at Apache are single point the most authentic learning resources. If you want to learn fundamentals and go deep about every aspect of the Big Data, I believe you must understand various concepts in Apache’s library. I am pretty impressed with the documentation and I am personally referencing it every single day when I work with Big Data. I strongly encourage all of you to bookmark following all the links for authentic big data learning. Haddop - The Apache Hadoop® project develops open-source software for reliable, scalable, distributed computing. Ambari: A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which include support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heat maps and ability to view MapReduce, Pig and Hive applications visually along with features to diagnose their performance characteristics in a user-friendly manner. Avro: A data serialization system. Cassandra: A scalable multi-master database with no single points of failure. Chukwa: A data collection system for managing large distributed systems. HBase: A scalable, distributed database that supports structured data storage for large tables. Hive: A data warehouse infrastructure that provides data summarization and ad hoc querying. Mahout: A Scalable machine learning and data mining library. Pig: A high-level data-flow language and execution framework for parallel computation. ZooKeeper: A high-performance coordination service for distributed applications. Learn from Vendors One of the biggest issues with about learning Big Data is setting up the environment. Every Big Data vendor has different environment request and there are lots of things require to set up Big Data framework. Many of the users do not start with Big Data as they are afraid about the resources required to set up framework as well as a time commitment. Here Hortonworks have created fantastic learning environment. They have created Sandbox with everything one person needs to learn Big Data and also have provided excellent tutoring along with it. Sandbox comes with a dozen hands-on tutorial that will guide you through the basics of Hadoop as well it contains the Hortonworks Data Platform. I think Hortonworks did a fantastic job building this Sandbox and Tutorial. Though there are plenty of different Big Data Vendors I have decided to list only Hortonworks due to their unique setup. Please leave a comment if there are any other such platform to learn Big Data. I will include them over here as well. Learn from Books There are indeed few good books out there which one can refer to learn Big Data. Here are few good books which I have read. I will update the list as I will learn more. Ethics of Big Data Balancing Risk and Innovation Big Data for Dummies Head First Data Analysis: A Learner’s Guide to Big Numbers, Statistics, and Good Decisions If you search on Amazon there are millions of the books but I think above three books are a great set of books and it will give you great ideas about Big Data. Once you go through above books, you will have a clear idea about what is the next step you should follow in this series. You will be capable enough to make the right decision for yourself. Tomorrow In tomorrow’s blog post we will wrap up this series of Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Big Data – Buzz Words: What is Hadoop – Day 6 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is NoSQL. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – Hadoop. What is Hadoop? Apache Hadoop is an open-source, free and Java based software framework offers a powerful distributed platform to store and manage Big Data. It is licensed under an Apache V2 license. It runs applications on large clusters of commodity hardware and it processes thousands of terabytes of data on thousands of the nodes. Hadoop is inspired from Google’s MapReduce and Google File System (GFS) papers. The major advantage of Hadoop framework is that it provides reliability and high availability. What are the core components of Hadoop? There are two major components of the Hadoop framework and both fo them does two of the important task for it. Hadoop MapReduce is the method to split a larger data problem into smaller chunk and distribute it to many different commodity servers. Each server have their own set of resources and they have processed them locally. Once the commodity server has processed the data they send it back collectively to main server. This is effectively a process where we process large data effectively and efficiently. (We will understand this in tomorrow’s blog post). Hadoop Distributed File System (HDFS) is a virtual file system. There is a big difference between any other file system and Hadoop. When we move a file on HDFS, it is automatically split into many small pieces. These small chunks of the file are replicated and stored on other servers (usually 3) for the fault tolerance or high availability. (We will understand this in the day after tomorrow’s blog post). Besides above two core components Hadoop project also contains following modules as well. Hadoop Common: Common utilities for the other Hadoop modules Hadoop Yarn: A framework for job scheduling and cluster resource management There are a few other projects (like Pig, Hive) related to above Hadoop as well which we will gradually explore in later blog posts. A Multi-node Hadoop Cluster Architecture Now let us quickly see the architecture of the a multi-node Hadoop cluster. A small Hadoop cluster includes a single master node and multiple worker or slave node. As discussed earlier, the entire cluster contains two layers. One of the layer of MapReduce Layer and another is of HDFC Layer. Each of these layer have its own relevant component. The master node consists of a JobTracker, TaskTracker, NameNode and DataNode. A slave or worker node consists of a DataNode and TaskTracker. It is also possible that slave node or worker node is only data or compute node. The matter of the fact that is the key feature of the Hadoop. In this introductory blog post we will stop here while describing the architecture of Hadoop. In a future blog post of this 31 day series we will explore various components of Hadoop Architecture in Detail. Why Use Hadoop? There are many advantages of using Hadoop. Let me quickly list them over here: Robust and Scalable – We can add new nodes as needed as well modify them. Affordable and Cost Effective – We do not need any special hardware for running Hadoop. We can just use commodity server. Adaptive and Flexible – Hadoop is built keeping in mind that it will handle structured and unstructured data. Highly Available and Fault Tolerant – When a node fails, the Hadoop framework automatically fails over to another node. Why Hadoop is named as Hadoop? In year 2005 Hadoop was created by Doug Cutting and Mike Cafarella while working at Yahoo. Doug Cutting named Hadoop after his son’s toy elephant. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – MapReduce. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Memory Efficient Windows SOA Server

    - by Antony Reynolds
    Installing a Memory Efficient SOA Suite 11.1.1.6 on Windows Server Well 11.1.1.6 is now available for download so I thought I would build a Windows Server environment to run it.  I will minimize the memory footprint of the installation by putting all functionality into the Admin Server of the SOA Suite domain. Required Software 64-bit JDK SOA Suite If you want 64-bit then choose “Generic” rather than “Microsoft Windows 32bit JVM” or “Linux 32bit JVM” This has links to all the required software. If you choose “Generic” then the Repository Creation Utility link does not show, you still need this so change the platform to “Microsoft Windows 32bit JVM” or “Linux 32bit JVM” to get the software. Similarly if you need a database then you need to change the platform to get the link to XE for Windows or Linux. If possible I recommend installing a 64-bit JDK as this allows you to assign more memory to individual JVMs. Windows XE will work, but it is better if you can use a full Oracle database because of the limitations on XE that sometimes cause it to run out of space with large or multiple SOA deployments. Installation Steps The following flow chart outlines the steps required in installing and configuring SOA Suite. The steps in the diagram are explained below. 64-bit? Is a 64-bit installation required?  The Windows & Linux installers will install 32-bit versions of the Sun JDK and JRockit.  A separate JDK must be installed for 64-bit. Install 64-bit JDK The 64-bit JDK can be either Hotspot or JRockit.  You can choose either JDK 1.7 or 1.6. Install WebLogic If you are using 64-bit then install WebLogic using “java –jar wls1036_generic.jar”.  Make sure you include Coherence in the installation, the easiest way to do this is to accept the “Typical” installation. SOA Suite Required? If you are not installing SOA Suite then you can jump straight ahead and create a WebLogic domain. Install SOA Suite Run the SOA Suite installer and point it at the existing Middleware Home created for WebLogic.  Note to run the SOA installer on Windows the user must have admin privileges.  I also found that on Windows Server 2008R2 I had to start the installer from a command prompt with administrative privileges, granting it privileges when it ran caused it to ignore the jreLoc parameter. Database Available? Do you have access to a database into which you can install the SOA schema.  SOA Suite requires access to an Oracle database (it is supported on other databases but I would always use an oracle database). Install Database I use an 11gR2 Oracle database to avoid XE limitations.  Make sure that you set the database character set to be unicode (AL32UTF8).  I also disabled the new security settings because they get in the way for a developer database.  Don’t forget to check that number of processes is at least 150 and number of sessions is not set, or is set to at least 200 (in the DB init parameters). Run RCU The SOA Suite database schemas are created by running the Repository Creation Utility.  Install the “SOA and BPM Infrastructure” component to support SOA Suite.  If you keep the schema prefix as “DEV” then the config wizard is easier to complete. Run Config Wizard The Config wizard creates the domain which hosts the WebLogic server instances.  To get a minimum footprint SOA installation choose the “Oracle Enterprise Manager” and “Oracle SOA Suite for developers” products.  All other required products will be automatically selected. The “for developers” installs target the appropriate components at the AdminServer rather than creating a separate managed server to house them.  This reduces the number of JVMs required to run the system and hence the amount of memory required.  This is not suitable for anything other than a developer environment as it mixes the admin and runtime functions together in a single server.  It also takes a long time to load all the required modules, making start up a slow process. If it exists I would recommend running the config wizard found in the “oracle_common/common/bin” directory under the middleware home.  This should have access to all the templates, including SOA. If you also want to run BAM in the same JVM as everything else then you need to “Select Optional Configuration” for “Managed Servers, Clusters and Machines”. To target BAM at the AdminServer delete the “bam_server1” managed server that is created by default.  This will result in BAM being targeted at the AdminServer. Installation Issues I had a few problems when I came to test everything in my mega-JVM. Following applications were not targeted and so I needed to target them at the AdminServer: b2bui composer Healthcare UI FMW Welcome Page Application (11.1.0.0.0) How Memory Efficient is It? On a Windows 2008R2 Server running under VirtualBox I was able to bring up both the 11gR2 database and SOA/BPM/BAM in 3G memory.  I allocated a minimum 512M to the PermGen and a minimum of 1.5G for the heap.  The setting from setSOADomainEnv are shown below: set DEFAULT_MEM_ARGS=-Xms1536m -Xmx2048m set PORT_MEM_ARGS=-Xms1536m -Xmx2048m set DEFAULT_MEM_ARGS=%DEFAULT_MEM_ARGS% -XX:PermSize=512m -XX:MaxPermSize=768m set PORT_MEM_ARGS=%PORT_MEM_ARGS% -XX:PermSize=512m -XX:MaxPermSize=768m I arrived at these numbers by monitoring JVM memory usage in JConsole. Task Manager showed total system memory usage at 2.9G – just below the 3G I allocated to the VM. Performance is not stellar but it runs and I could run JDeveloper alongside it on my 8G laptop, so in that sense it was a result!

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  • New Replication, Optimizer and High Availability features in MySQL 5.6.5!

    - by Rob Young
    As the Product Manager for the MySQL database it is always great to announce when the MySQL Engineering team delivers another great product release.  As a field DBA and developer it is even better when that release contains improvements and innovation that I know will help those currently using MySQL for apps that range from modest intranet sites to the most highly trafficked web sites on the web.  That said, it is my pleasure to take my hat off to MySQL Engineering for today's release of the MySQL 5.6.5 Development Milestone Release ("DMR"). The new highlighted features in MySQL 5.6.5 are discussed here: New Self-Healing Replication ClustersThe 5.6.5 DMR improves MySQL Replication by adding Global Transaction Ids and automated utilities for self-healing Replication clusters.  Prior to 5.6.5 this has been somewhat of a pain point for MySQL users with most developing custom solutions or looking to costly, complex third-party solutions for these capabilities.  With 5.6.5 these shackles are all but removed by a solution that is included with the GPL version of the database and supporting GPL tools.  You can learn all about the details of the great, problem solving Replication features in MySQL 5.6 in Mat Keep's Developer Zone article.  New Replication Administration and Failover UtilitiesAs mentioned above, the new Replication features, Global Transaction Ids specifically, are now supported by a set of automated GPL utilities that leverage the new GTIDs to provide administration and manual or auto failover to the most up to date slave (that is the default, but user configurable if needed) in the event of a master failure. The new utilities, along with links to Engineering related blogs, are discussed in detail in the DevZone Article noted above. Better Query Optimization and ThroughputThe MySQL Optimizer team continues to amaze with the latest round of improvements in 5.6.5. Along with much refactoring of the legacy code base, the Optimizer team has improved complex query optimization and throughput by adding these functional improvements: Subquery Optimizations - Subqueries are now included in the Optimizer path for runtime optimization.  Better throughput of nested queries enables application developers to simplify and consolidate multiple queries and result sets into a single unit or work. Optimizer now uses CURRENT_TIMESTAMP as default for DATETIME columns - For simplification, this eliminates the need for application developers to assign this value when a column of this type is blank by default. Optimizations for Range based queries - Optimizer now uses ready statistics vs Index based scans for queries with multiple range values. Optimizations for queries using filesort and ORDER BY.  Optimization criteria/decision on execution method is done now at optimization vs parsing stage. Print EXPLAIN in JSON format for hierarchical readability and Enterprise tool consumption. You can learn the details about these new features as well all of the Optimizer based improvements in MySQL 5.6 by following the Optimizer team blog. You can download and try the MySQL 5.6.5 DMR here. (look under "Development Releases")  Please let us know what you think!  The new HA utilities for Replication Administration and Failover are available as part of the MySQL Workbench Community Edition, which you can download here .Also New in MySQL LabsAs has become our tradition when announcing DMRs we also like to provide "Early Access" development features to the MySQL Community via the MySQL Labs.  Today is no exception as we are also releasing the following to Labs for you to download, try and let us know your thoughts on where we need to improve:InnoDB Online OperationsMySQL 5.6 now provides Online ADD Index, FK Drop and Online Column RENAME.  These operations are non-blocking and will continue to evolve in future DMRs.  You can learn the grainy details by following John Russell's blog.InnoDB data access via Memcached API ("NotOnlySQL") - Improved refresh of an earlier feature releaseSimilar to Cluster 7.2, MySQL 5.6 provides direct NotOnlySQL access to InnoDB data via the familiar Memcached API. This provides the ultimate in flexibility for developers who need fast, simple key/value access and complex query support commingled within their applications.Improved Transactional Performance, ScaleThe InnoDB Engineering team has once again under promised and over delivered in the area of improved performance and scale.  These improvements are also included in the aggregated Spring 2012 labs release:InnoDB CPU cache performance improvements for modern, multi-core/CPU systems show great promise with internal tests showing:    2x throughput improvement for read only activity 6x throughput improvement for SELECT range Read/Write benchmarks are in progress More details on the above are available here. You can download all of the above in an aggregated "InnoDB 2012 Spring Labs Release" binary from the MySQL Labs. You can also learn more about these improvements and about related fixes to mysys mutex and hash sort by checking out the InnoDB team blog.MySQL 5.6.5 is another installment in what we believe will be the best release of the MySQL database ever.  It also serves as a shining example of how the MySQL Engineering team at Oracle leads in MySQL innovation.You can get the overall Oracle message on the MySQL 5.6.5 DMR and Early Access labs features here. As always, thanks for your continued support of MySQL, the #1 open source database on the planet!

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  • High Jinks, Hi Jacks, Exceptional DBA Awards and PASS

    - by Rodney
    The countdown to PASS has counted down.  The day after tomorrow I will board a plane, like many others, on my way for the 4th year in a row to SQL PASS Summit.  The anticipation has been excruciating but luckily I have this little thing called a day job as a DBA that has kept me busy and not thinking too much about the event. Well that is not exactly true since my beautiful wife works for PASS so we get to talk about SQL from the time we wake up until late in the evening. I would not have it any other way and I feel very fortunate to be a part of this great event and to have been chosen as the Exceptional DBA Award judge also for the 4th year in a row.  This year, I will have been again tasked with presenting the award to the winner, Mr. Jeff Moden and it will be a true honor to meet him in person as I have read many of his articles on SSC and have attended his session at PASS previously.  The speech is all ready but one item remains, which will be a surprise to all who attend the party on Tuesday night in Seattle (see links below).  Let's face it, Exceptional DBAs everywhere work very hard protecting our data stores, tuning queries, mentoring, saving money, installing clusters, etc and once in a while there is time to be exceptionally non-professional and have a bit of fun. Once incident that happened this year that falls under the High Jinks category was when my network admin asked if I could Telnet into a SQL instance and see if I could make the connection through the firewall that he had just configured. I was able to establish a connection on port 1433 and it occurred to me that it would be very interesting if I could actually run T-SQL queries via a Telnet session much like you might do with an SMTP server. With that thought, I proceeded to demonstrate this could be possible by convincing my senior DBA Shawn McGehee that I was able to do so. At first he did not believe me. It shook his world view.  It was inconceivable.  What I had done, behind the scenes, of course, was to copy and rename SQLCMD.exe to Telnet.exe and used it to connect and run a simple, "Select * from sys.databases" on the SQL instance. I think if it had been anyone other than Shawn I could have extended this ruse indefinitely but he caught on within 30 seconds. It was a fun thirty seconds though. On the High Jacks side of the house, which is really merged to be SQL HACKS, I finally, after several years of struggling with how to connect to an untrusted domain like in a DMZ with a windows account in SSMS, I stumbled upon a solution that does away with the requirement to use SQL Authentication.  While "Runas" is a great command to use to run an application with a higher privileged account, I had not previously been able to figure out how to connect to the remote domain with SSMS and "Runsas". It never connected and caused a login failure every time for the remote windows domain account. Then I ran across an option for "Runas",   "/netonly".  This option postpones the login until a connection is made and only then passes the remote login you supply when you first launch SSMS with the "Runas" command. So a typical shortcut would look like: "C:\Windows\System32\runas.exe /netonly /user:remotedomain.com\rodlandrum "C:\Program Files\Microsoft SQL Server\100\Tools\Binn\VSShell\Common7\IDE\Ssms.exe" You will want to make sure the passwords are synced between the two domains, your local domain and the remote domain, otherwise you may have account lockout issues, but I have found in weeks of testing this is a stable solution. Now it is time to get ready to head for Seattle. Please, if you see me (@SQLBeat) or my wife (@Karlakay22) please run up and high five me (wait..High Jinks.High Jacks.High Fives.Need to change the title) or give me a big bear hug if you are strong enough to lift me off the ground. And if you do actually do that, I will think you are awesome and will not embarrass you by crying out for help or complaining of a broken back or sciatic nerve damage. And now the links to others who have all of the details. First, for the MVP Deep Dives 2, of which, like John, I was lucky enough to be able to participate in this year. http://www.simple-talk.com/community/blogs/johnm/archive/2011/09/29/103577.aspx And the details of the SSC party where the Exceptional DBA of 2011, Jeff Moden, will be awarded. http://www.simple-talk.com/community/blogs/rebecca_amos/archive/2011/10/05/103661.aspx   Cheers! Rodney

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  • Certify August Updates

    - by Sadia2
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 We have added some release and platform certifications to MOS Certify. Applications : Oracle Demantra Demand Management 7.3.1.5, Oracle Demantra Predictive Trade Planning 7.3.1.5, Oracle Demantra Sales and Operations Planning 7.3.1.5 Database: Oracle Database Client 12.1.0.1.0 11.2.0.4.0, Oracle Clusterware 11.2.0.4.0, Oracle Database 11.2.0.4.0, Oracle Real Application Clusters 11.2.0.4.0 E-Business Suite: Oracle E-Business Suite 12.1.3, Oracle E-Business Suite 12.1.2, Oracle E-Business Suite 12.1.1, Oracle E-Business Suite 12.0.6, Oracle E-Business Suite 11.5.10.2 Edge Applications: Oracle Transportation Management 6.3.2 Enterprise Manager: Oracle Application Management Pack for Oracle E-Business Suite 12.1.0.1.0 Fusion Middleware: Discoverer Administrator 11.1.1.6.0, Discoverer Desktop 11.1.1.6.0, Forms Builder 11.1.1.6.0, Oracle Application Development Framework 11.1.1.6.0, Oracle Application Development Runtime 11.1.1.6.0, Oracle Business Intelligence Publisher 11.1.1.6.0, Oracle Directory Services Manager 11.1.1.6.0, Oracle Forms 11.1.1.6.0, Oracle GoldenGate 11.1.1.1.0, 11.1.1.1.2, 11.1.1.1.1, Oracle GoldenGate Application Adapters 11.1.1.1.1, Oracle Identity and Access Management 11.1.2.0.0, 11.1.2.1.0, Oracle Identity Federation 11.1.1.6.0, Oracle Real-Time Decision Load Generator 11.1.1.7.0, Oracle Real-Time Decision Studio 11.1.1.7.0, Oracle Real-Time Decisions 11.1.1.6.0, Oracle Reports 11.1.1.6.0, Oracle Segmentation Server 11.1.1.6.0, Oracle Virtual Directory 11.1.1.6.0, Oracle Web Cache 11.1.1.6.0, Oracle WebCenter Content Imaging 11.1.1.8.0, Oracle WebCenter Content Inbound Refinery Server 11.1.1.8.0, Oracle WebCenter Content Records 11.1.1.8.0, Oracle WebCenter Content Rights 11.1.1.8.0, Oracle WebCenter Content UI 11.1.1.8.0, Oracle WebCenter Enterprise Capture 11.1.1.8.0, Oracle WebCenter Portal 11.1.1.8.0, Oracle WebCenter Sites 11.1.1.8.0, Oracle WebCenter Sites: CIP for EMC Documentum 11.1.1.8.0, Oracle WebCenter Sites: CIP for File Systems and MS SharePoint 11.1.1.8.0, Oracle WebCenter Sites: Community-Gadgets 11.1.1.8.0, Oracle WebCenter Sites: Explorer 11.1.1.8.0, Oracle WebCenter Universal Content Management 11.1.1.8.0, Reports Builder 11.1.1.6.0, Oracle WebCenter Content Records 11.1.1.8.0, Oracle WebCenter Content Rights 11.1.1.8.0, Oracle WebCenter Content UI 11.1.1.8.0, Oracle WebCenter Sites: Developer Tools 11.1.1.8.0 FSGBU Insurance Group : Oracle Health Insurance Claims 2.13.3.0.0, 2.13.2.0.0, 2.13.1.0.0 JD Edwards EnterpriseOne: JD Edwards EnterpriseOne Tools 9.1.3.0, 9.1.2.0, 9.1.0.0 JD Edwards World: JD Edwards World Service Enablement A93SE, A931SE PeopleSoft: PeopleSoft PeopleTools 8.52 Siebel Enterprise: Siebel Application Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel CRM Desktop Client 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Database Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel HI Web Client 8.2.2.2.0, 8.1.1.9.0, Siebel Gateway Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Outlook Add-in Client 8.2.2.2.0, Siebel Remote Client 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Tools Client 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Web Server Extension 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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