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  • OSI Model

    - by kaleidoscope
    The Open System Interconnection Reference Model (OSI Reference Model or OSI Model) is an abstract description for layered communications and computer network protocol design. In its most basic form, it divides network architecture into seven layers which, from top to bottom, are the Application, Presentation, Session, Transport, Network, Data Link, and Physical Layers. It is therefore often referred to as the OSI Seven Layer Model. A layer is a collection of conceptually similar functions that provide services to the layer above it and receives service from the layer below it. Description of OSI layers: Layer 1: Physical Layer ·         Defines the electrical and physical specifications for devices. In particular, it defines the relationship between a device and a physical medium. ·         Establishment and termination of a connection to a communications medium. ·         Participation in the process whereby the communication resources are effectively shared among multiple users. ·         Modulation or conversion between the representation of digital data in user equipment and the corresponding signals transmitted over a communications channel. Layer 2: Data Link Layer ·         Provides the functional and procedural means to transfer data between network entities. ·         Detect and possibly correct errors that may occur in the Physical Layer. The error check is performed using Frame Check Sequence (FCS). ·         Addresses is then sought to see if it needs to process the rest of the frame itself or whether to pass it on to another host. ·         The Layer is divided into two sub layers: The Media Access Control (MAC) layer and the Logical Link Control (LLC) layer. ·         MAC sub layer controls how a computer on the network gains access to the data and permission to transmit it. ·         LLC layer controls frame synchronization, flow control and error checking.   Layer 3: Network Layer ·         Provides the functional and procedural means of transferring variable length data sequences from a source to a destination via one or more networks. ·         Performs network routing functions, and might also perform fragmentation and reassembly, and report delivery errors. ·         Network Layer Routers operate at this layer—sending data throughout the extended network and making the Internet possible.   Layer 4: Transport Layer ·         Provides transparent transfer of data between end users, providing reliable data transfer services to the upper layers. ·         Controls the reliability of a given link through flow control, segmentation/de-segmentation, and error control. ·         Transport Layer can keep track of the segments and retransmit those that fail. Layer 5: Session Layer ·         Controls the dialogues (connections) between computers. ·         Establishes, manages and terminates the connections between the local and remote application. ·         Provides for full-duplex, half-duplex, or simplex operation, and establishes checkpointing, adjournment, termination, and restart procedures. ·         Implemented explicitly in application environments that use remote procedure calls. Layer 6: Presentation Layer ·         Establishes a context between Application Layer entities, in which the higher-layer entities can use different syntax and semantics, as long as the presentation service understands both and the mapping between them. The presentation service data units are then encapsulated into Session Protocol data units, and moved down the stack. ·         Provides independence from differences in data representation (e.g., encryption) by translating from application to network format, and vice versa. The presentation layer works to transform data into the form that the application layer can accept. This layer formats and encrypts data to be sent across a network, providing freedom from compatibility problems. It is sometimes called the syntax layer. Layer 7: Application Layer ·         This layer interacts with software applications that implement a communicating component. ·         Identifies communication partners, determines resource availability, and synchronizes communication. o       When identifying communication partners, the application layer determines the identity and availability of communication partners for an application with data to transmit. o       When determining resource availability, the application layer must decide whether sufficient network or the requested communication exists. o       In synchronizing communication, all communication between applications requires cooperation that is managed by the application layer. Technorati Tags: Kunal,OSI,Networking

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  • What’s New from the Oracle Marketing Cloud at Oracle OpenWorld 2014

    - by Kathryn Perry
    A Guest Post by Laura Vogel, Director, Oracle Marketing Cloud Events (pictured left) Marketing—CX Central is your hub for all things Marketing related at OpenWorld in San Francisco, September 28-October 2, 2014. Learn how to personalize the modern marketing journey to improve customer loyalty. We’re hosting more than 60 breakout sessions, half of which will highlight customer success stories from marquee brands including Bizo, Comcast, Dell, Epson, John Deere, Lane Bryant, ReadyTalk and Shutterfly. Moscone West, Levels 2 and 3To learn more about how modern marketing works, visit Moscone West, levels 2 and 3, for exciting demos of each of the Oracle Marketing Cloud solutions (BlueKai, Compendium, Eloqua, Push I/O, and Responsys). You also can check out our stations for Vertical Marketing Best Practices, the Markie Awards, and more! CX Spotlight Sessions “Accelerating Big Profits in Big Data,” Jeff Tanner, Baylor University “Using Content Marketing to Impact Every Stage of the Buyer’s Journey,” Jennifer Agustin, Bizo “Expanding Your Marketing with Proven Testing and Optimization,” Brian Border, Shutterfly and Matthew Balthazor, Epson “Modern Marketing: The New Digital Dialogue,” Cory Treffiletti, Oracle A Special Marquee SessionDell’s Hayden Mugford will speak on "The Digital Ecosystem: Driving Experience Through Contact Engagement.” She will highlight how the organization built a digital ecosystem that supports a behaviorally driven, multivehicle nurturing campaign. The Dell 1:1 Global Marketing team worked with multiple partners to innovate integrations with Oracle Eloqua, Oracle Real-Time Decisions for real-time decision logic, and a content management system (CMS) that enables 100 percent customized e-mails. The program doubled average order values for nurtured contacts versus non-nurtured and tripled open and click-through rates versus push e-mail. It Wouldn’t Be an Oracle Marketing Cloud Event Without a Party!We’re hosting CX Central Fest: a unique customer experience specifically designed for attendees of CX Central. It will include a chance to rock out at a private concert featuring Los Angeles indie electronic pop group, Capital Cities! Join us Tuesday, September 30 from 7-9 p.m. Other Oracle Marketing Cloud Session Highlights Thought leadership by role Exploring the benefits of moving to the Cloud Product line roadmaps and innovations in Marketing Technical deep dives for product lines within Marketing Best practices and impactful business measurements Solutions that are integrated across CX Target AudienceSession content is geared toward professionals in Marketing, Marketing Operations, Marketing Demand Generation, Social: Chief Marketing Officers, Vice Presidents, Directors and Managers. OutcomesCustomers attending Marketing—CX Central @ OpenWorld will be able to: Gain insight into delivering consistent cross-channel marketing Discover how to provide the right information to the right customer at the right time and with the right channel Get answers to burning questions and advice on business challenges Hear from other Oracle customers about recommended best practices to help their organization move forward Network and share ideas to help create a strategy for connecting with customers in better ways Resources At a Glance Register Now Track Site—View Marketing Sessions 72 1024x768 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size: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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Focus on Session Doc Downloadable Justification Email OpenWorld is a fabulous way for you to see all that Oracle Marketing Cloud has to offer. Register today.

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  • Clustering for Mere Mortals (Pt2)

    - by Geoff N. Hiten
    Planning. I could stop there and let that be the entirety post #2 in this series.  Planning is the single most important element in building a cluster and the Laptop Demo Cluster is no exception.  One of the more awkward parts of actually creating a cluster is coordinating information between Windows Clustering and SQL Clustering.  The dialog boxes show up hours apart, but still have to have matching and consistent information. Excel seems to be a good tool for tracking these settings.  My workbook has four pages: Systems, Storage, Network, and Service Accounts.  The systems page looks like this:   Name Role Software Location East Physical Cluster Node 1 Windows Server 2008 R2 Enterprise Laptop VM West Physical Cluster Node 2 Windows Server 2008 R2 Enterprise Laptop VM North Physical Cluster Node 3 (Future Reserved) Windows Server 2008 R2 Enterprise Laptop VM MicroCluster Cluster Management Interface N/A Laptop VM SQL01 High-Performance High-Security Instance SQL Server 2008 Enterprise Edition x64 SP1 Laptop VM SQL02 High-Performance Standard-Security Instance SQL Server 2008 Enterprise Edition x64 SP1 Laptop VM SQL03 Standard-Performance High-Security Instance SQL Server 2008 Enterprise Edition x64 SP1 Laptop VM Note that everything that has a computer name is listed here, whether physical or virtual. Storage looks like this: Storage Name Instance Purpose Volume Path Size (GB) LUN ID Speed Quorum MicroCluster Cluster Quorum Quorum Q: 2     SQL01Anchor SQL01 Instance Anchor SQL01Anchor L: 2     SQL02Anchor SQL02 Instance Anchor SQL02Anchor M: 2     SQL01Data1 SQL01 SQL Data SQL01Data1 L:\MountPoints\SQL01Data1 2     SQL02Data1 SQL02 SQL Data SQL02Data1 M:\MountPoints\SQL02Data1       Starting at the left is the name used in the storage array.  It is important to rename resources at each level, whether it is Storage, LUN, Volume, or disk folder.  Otherwise, troubleshooting things gets complex and difficult.  You want to be able to glance at a resource at any level and see where it comes from and what it is connected to. Networking is the same way:   System Network VLAN  IP Subnet Mask Gateway DNS1 DNS2 East Public Cluster1 10.97.230.x(DHCP) 255.255.255.0 10.97.230.1 10.97.230.1 10.97.230.1 East Heartbeat Cluster2   255.255.255.0       West Public Cluster1 10.97.230.x(DHCP) 255.255.255.0 10.97.230.1 10.97.230.1 10.97.230.1 West Heartbeat Cluster2   255.255.255.0       North Public Cluster1 10.97.230.x(DHCP) 255.255.255.0 10.97.230.1 10.97.230.1 10.97.230.1 North Heartbeat Cluster2   255.255.255.0       SQL01 Public Cluster1 10.97.230.x(DHCP) 255.255.255.0       SQL02 Public Cluster1 10.97.230.x(DHCP) 255.255.255.0       One hallmark of a poorly planned and implemented cluster is a bunch of "Local Network Connection #n" entries in the network settings page.  That lets me know that somebody didn't care about the long-term supportabaility of the cluster.  This can be critically important with Hyper-V Clusters and their high NIC counts.  Final page:   Instance Service Name Account Password Domain OU SQL01 SQL Server SVCSQL01 Baseline22 MicroAD Service Accounts SQL01 SQL Agent SVCSQL01 Baseline22 MicroAD Service Accounts SQL02 SQL Server SVC_SQL02 Baseline22 MicroAD Service Accounts SQL02 SQL Agent SVC_SQL02 Baseline22 MicroAD Service Accounts SQL03 (Future) SQL Server SVC_SQL03 Baseline22 MicroAD Service Accounts SQL03 (Future) SQL Agent SVC_SQL03 Baseline22 MicroAD Service Accounts             Installation Account           administrator            Yes.  I write down the account information.  I secure the file via NTFS, but I don't want to fumble around looking for passwords when it comes time to rebuild a node. Always fill out the workbook COMPLETELY before installing anything.  The whole point is to have everything you need at your fingertips before you begin.  The install experience is so much better and more productive with this information in place.

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  • #MIX Day 2 Keynote: Put the Phone Down and Listen

    - by andrewbrust
    MIX day 1’s keynote was all about Windows Phone 7 (WP7).  MIX day 2’s was a reminder that Microsoft has much more going on than a new mobile platform.  Steven Sinofsky, Scott Guthrie, Doug Purdy and others showed us lots of other good things coming from Microsoft, mostly in the developer stack, that we certainly shouldn’t overlook.  These included the forthcoming IE9, its new JavaScript compiling engine and support for HTML 5 that takes full advantage of the local PC resources, including the Graphics Processing Unit.  The announcements also included important additions to ASP.NET (and one subtraction, in the form of lighter-weight ViewState technology) including almost-obsessive jQuery support.  That support is so good that John Resig, creator of the jQuery project, came on stage to tell us so.  Then Scott Guthrie told us that Microsoft would be contributing code to Open Source jQuery project. This is not your father’s Microsoft, it would seem. But to me, the crown jewel in today’s keynote were the numerous announcements around the Open Data Protocol (OData).  OData is nothing more than the protocol side of “Astoria” (now known as WCF Data Services, and until recently called ADO.NET Data Services) separated out and opened up as a platform-neutral standard.  The 2009 Professional Developers Conference (PDC) was Microsoft’s vehicle for first announcing OData, as well as project “Dallas,” an Azure-based cloud platform for publishing commercial OData feeds.  And we had already known about “bridges” for Astoria (and thus OData) for PHP and Java.  We also knew that PowerPivot, Microsoft’s forthcoming self-service BI plug-in for Excel 2010, will consume OData feeds and then facilitate drill-down analysis of their data.  And we recently found out that SQL Reporting Services reports (in the forthcoming SQL Server 2008 R2) and SharePoint 2010 lists will be consumable in OData format as well. So what was left to announce?  How about OData clients for Palm webOS and Apple iPhone/Objective C?  How about the release to Open Source of .NET’s OData client?  Or the ability to publish any SQL Azure database as an OData service by simply checking a checkbox at deployment?  Maybe even a Silverlight tool (code-named “Houston”) to create SQL Azure databases (and then publish them as OData) right in the browser?  And what if you you could get at NetFlix’s entire catalog in OData format?  You can – just go to http://odata.netflix.com/Catalog/ and see for yourself.  Douglas Purdy, who made these announcements said “we want OData to work on as many devices and platforms as possible.”  After all the cross-platform OData announcements made in about a half year’s time, it’s hard to dispute this. When Microsoft plays the data card, and plays it well, watch out, because data programmability is the company’s heritage.  I’ll be discussing OData at length in my April Redmond Review column.  I wrote that column two weeks ago, and was convinced then that OData was a big deal. Today upped the ante even more.  And following the Windows Phone 7 euphoria of yesterday was, I think, smart timing.  The phone, if it’s successful, will be because it’s a good developer platform play.  And developer platforms (as well as their creators) are most successful when they have a good data strategy.  OData is very Silverlight-friendly, and that means it’s WP7-friendly too.  Phone plus service-oriented data is a one-two punch.  A phone platform without data would have been a phone with no signal.

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  • SQL SERVER – Weekend Project – Experimenting with ACID Transactions, SQL Compliant, Elastically Scalable Database

    - by pinaldave
    Database technology is huge and big world. I like to explore always beyond what I know and share the learning. Weekend is the best time when I sit around download random software on my machine which I like to call as a lab machine (it is a pretty old laptop, hardly a quality as lab machine) and experiment it. There are so many free betas available for download that it’s hard to keep track and even harder to find the time to play with very many of them.  This blog is about one you shouldn’t miss if you are interested in the learning various relational databases. NuoDB just released their Beta 7.  I had already downloaded their Beta 6 and yesterday did the same for 7.   My impression is that they are onto something very very interesting.  In fact, it might be something really promising in terms of database elasticity, scale and operational cost reduction. The folks at NuoDB say they are working on the world’s first “emergent” database which they tout as a brand new transitional database that is intended to dramatically change what’s possible with OLTP.  It is SQL compliant, guarantees ACID transactions, yet scales elastically on heterogeneous and decentralized cloud-based resources. Interesting note for sure, making me explore more. Based on what I’ve seen so far, they are solving the architectural challenge that exists between elastic, cloud-based compute infrastructures designed to scale out in response to workload requirements versus the traditional relational database management system’s architecture of central control. Here’s my experience with the NuoDB Beta 6 so far: First they pretty much threw away all the features you’d associate with existing RDBMS architectures except the SQL and ACID transactions which they were smart to keep.  It looks like they have incorporated a number of the big ideas from various algorithms, systems and techniques to achieve maximum DB scalability. From a user’s perspective, the NuoDB Beta software behaves like any other traditional SQL database and seems to offer all the benefits users have come to expect from standards-based SQL solutions. One of the interesting feature is that one can run a transactional node and a storage node on my Windows laptop as well on other platforms – indeed interesting for sure. It’s quite amazing to see a database elastically scale across machine boundaries. So, one of the basic NuoDB concepts is that as you need to scale out, you can easily use more inexpensive hardware when/where you need it.  This is unlike what we have traditionally done to scale a database for an application – we replace the hardware with something more powerful (faster CPU and Disks). This is where I started to feel like NuoDB is on to something that has the potential to elastically scale on commodity hardware while reducing operational expense for a big OLTP database to a degree we’ve never seen before. NuoDB is able to fully leverage the cloud in an asynchronous and highly decentralized manner – while providing both SQL compliance and ACID transactions. Basically what NuoDB is doing is so new that it is all hard to believe until you’ve experienced it in action.  I will keep you up to date as I test the NuoDB Beta 7 but if you are developing a web-scale application or have an on-premise app you are thinking of moving to the cloud, testing this beta is worth your time. If you do try it, let me know what you think.  Before I say anything more, I am going to do more experiments and more test on this product and compare it with other existing similar products. For me it was a weekend worth spent on learning something new. I encourage you to download Beta 7 version and share your opinions here. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Challenges and Opportunities to Drive Change in the Healthcare System Explored at America’s Health Insurance Plans Exchange Conference and Institute 2013

    - by elaine blog
    The program theme at the June America’s Health Insurance Plans (AHIP) Exchange Conference and AHIP’s Institute 2013 was Transforming Our Health Care System: Navigating and Succeeding in the New Marketplace.  Topics included care delivery transformation, innovation for a new healthcare eco system, Health Insurance Exchanges, the nexus of consumerism, retail and healthcare, driving value through improved operations and leveraging technology, data and innovation to transform care. Oracle participated as a sponsor of both conferences, signaling the significant investment and activity Oracle continues to make in helping health plans, providers and government agencies become more efficient and more relevant in the healthcare market place. AHIP is a national trade association representing the health insurance industry. AHIP’s members provide health and supplemental benefits to more than 200 million Americans through employer-sponsored coverage, the individual insurance market and public programs such as Medicare and Medicaid.   AHIP advocates for public policies that expand access to affordable health care. Health plans are focusing on the Health Insurance Exchanges and the opportunities they offer to provide better access and higher quality healthcare.  With the opportunities come operational challenges to implementation and innovative technology solutions to consider.   At the Exchange Conference, Oracle hosted a breakfast symposium on “Strategies for Success:  Driving Business Transformation in the Growing Health Insurance Exchange Market”. With Health Insurance Exchanges as catalysts for change, attendees learned about how to achieve integration within an Exchange and deploy new business strategies to support health reform initiatives. Discussion covered steps and processes to successfully establish and implement enrollment systems, quote to card activities, program pricing, claims billing, automated claims processing and new customer service tools. Piyush Pushkar, COO of Benefitalign, an Oracle partner that provides solutions to adopt innovative business models for retail, HIX, consumer-centric health plan and benefits administration, spoke on the state of the Exchanges in the U.S. and the activities health plans are engaged in to support individuals entering the healthcare system, including sales automation, member enrollment automation/portals and integration strategies with the Exchanges. The Oracle and Benefitalign partnership allows seamless integration between a health plan enrollment solution with the HIX individual market and allows for the health plan to customize and characterize the offerings available to the HIX that may or may not be available through other channels.  This approach can benefit the health plan through separation of interests, but also because some state-run HIXs require such separation. Janice W. Young, Program Director, Payer IT Strategies, IDC Health Insights, reviewed a survey of health plans on their investment priorities for this last year as well as this year.  She also identified the 2013-2015 strategies of go/get to market with front end and compliance investments; leveraging existing business processes and internal technologies; and establishing best practices.  Of key interest to the audience was a reform era payer solutions platform overview mapping technologies to support the business operations. David Bonham of the Oracle Health Insurance organization moderated the panel and spoke on Oracle’s presence in healthcare and products for payers to help them drive efficiencies and gain a competitive advantage in an ever changing market. Oracle serves healthcare stakeholders with applications such as billing, rating and underwriting, analytics, CRM, enrollment, and products for processing of health insurance claims including pricing and benefits administration, as well as payment of providers through alternative, non-fee for service reimbursement methods. Oracle in Healthcare….Did you know? More than 80 healthcare payers run Oracle applications. More than 300 leading healthcare providers run Oracle applications. 10 out of the top 12 fortune Global 500 healthcare organizations run Oracle applications. For more information on Oracle solutions for healthcare payers, please visit oracle.com/insurance or these individual solution pages: Oracle Health Insurance Components Oracle Insurance Insbridge Rating and Underwriting Oracle Insurance Revenue Management and Billing Oracle Documaker Oracle Healthcare Oracle CRM Related Resources Webcast On Demand: Strategies for Success: Driving Business Transformation in the Growing Health Insurance Exchange Market Strategy Brief: Executing on the Individual Mandate: Opportunities and Challenges for Healthcare Payers White Paper: White paper: Navigating Alternative Provider Reimbursement Models of the Future Strategy Brief: Enterprise Rating Agility Improves Payer Response to Healthcare Reform Podcast: Technology Implications of Healthcare Reform Don’t forget to keep up with us year-round: Facebook: www.facebook.com/oracleinsurance Twitter: www.twitter.com/oracleinsurance YouTube: www.youtube.com/oracleinsurance

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  • July, the 31 Days of SQL Server DMO’s – Day 23 (sys.dm_db_index_usage_stats)

    - by Tamarick Hill
    The sys.dm_db_index_usage_stats Dynamic Management View is used to return usage information about the various indexes on your SQL Server instance. Let’s have a look at this DMV against our AdventureWorks2012 database so we can examine the information returned. SELECT * FROM sys.dm_db_index_usage_stats WHERE database_id = db_id('AdventureWorks2012') The first three columns in the result set represent the database_id, object_id, and index_id of a given row. You can join these columns back to other system tables to extract the actual database, object, and index names. The next four columns are probably the most beneficial columns within this DMV. First, the user_seeks column represents the number of times that a user query caused a seek operation against a particular index. The user_scans column represents how many times a user query caused a scan operation on a particular index. The user_lookups column represents how many times an index was used to perform a lookup operation. The user_updates column refers to how many times an index had to be updated due to a write operation that effected a particular index. The last_user_seek, last_user_scan, last_user_lookup, and last_user_update columns provide you with DATETIME information about when the last user scan, seek, lookup, or update operation was performed. The remaining columns in the result set are the same as the ones we previously discussed, except instead of the various operations being generated from user requests, they are generated from system background requests. This is an extremely useful DMV and one of my favorites when it comes to Index Maintenance. As we all know, indexes are extremely beneficial with improving the performance of your read operations. But indexes do have a downside as well. Indexes slow down the performance of your write operations, and they also require additional resources for storage. For this reason, in my opinion, it is important to regularly analyze the indexes on your system to make sure the indexes you have are being used efficiently. My AdventureWorks2012 database is only used for demonstrating or testing things, so I dont have a lot of meaningful information here, but for a Production system, if you see an index that is never getting any seeks, scans, or lookups, but is constantly getting a ton of updates, it more than likely would be a good candidate for you to consider removing. You would not be getting much benefit from the index, but yet it is incurring a cost on your system due to it constantly having to be updated for your write operations, not to mention the additional storage it is consuming. You should regularly analyze your indexes to ensure you keep your database systems as efficient and lean as possible. One thing to note is that these DMV statistics are reset every time SQL Server is restarted. Therefore it would not be a wise idea to make decisions about removing indexes after a Server Reboot or a cluster roll. If you restart your SQL Server instances frequently, for example if you schedule weekly/monthly cluster rolls, then you may not capture indexes that are being used for weekly/monthly reports that run for business users. And if you remove them, you may have some upset people at your desk on Monday morning. If you would like to begin analyzing your indexes to possibly remove the ones that your system is not using, I would recommend building a process to load this DMV information into a table on scheduled basis, depending on how frequently you perform an operation that would reset these statistics, then you can analyze the data over a period of time to get a more accurate view of what indexes are really being used and which ones or not. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms188755.aspx Follow me on Twitter @PrimeTimeDBA

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  • SQL SERVER – How to Ignore Columnstore Index Usage in Query

    - by pinaldave
    Earlier I wrote about SQL SERVER – Fundamentals of Columnstore Index and very first question I received in email was as following. “We are using SQL Server 2012 CTP3 and so far so good. In our data warehouse solution we have created 1 non-clustered columnstore index on our large fact table. We have very unique situation but your article did not cover it. We are running few queries on our fact table which is working very efficiently but there is one query which earlier was running very fine but after creating this non-clustered columnstore index this query is running very slow. We dropped the columnstore index and suddenly this one query is running fast but other queries which were benefited by this columnstore index it is running slow. Any workaround in this situation?” In summary the question in simple words “How can we ignore using columnstore index in selective queries?” Very interesting question – you can use I can understand there may be the cases when columnstore index is not ideal and needs to be ignored the same. You can use the query hint IGNORE_NONCLUSTERED_COLUMNSTORE_INDEX to ignore the columnstore index. SQL Server Engine will use any other index which is best after ignoring the columnstore index. Here is the quick script to prove the same. We will first create sample database and then create columnstore index on the same. Once columnstore index is created we will write simple query. This query will use columnstore index. We will then show the usage of the query hint. USE AdventureWorks GO -- Create New Table CREATE TABLE [dbo].[MySalesOrderDetail]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, [CarrierTrackingNumber] [nvarchar](25) NULL, [OrderQty] [smallint] NOT NULL, [ProductID] [int] NOT NULL, [SpecialOfferID] [int] NOT NULL, [UnitPrice] [money] NOT NULL, [UnitPriceDiscount] [money] NOT NULL, [LineTotal] [numeric](38, 6) NOT NULL, [rowguid] [uniqueidentifier] NOT NULL, [ModifiedDate] [datetime] NOT NULL ) ON [PRIMARY] GO -- Create clustered index CREATE CLUSTERED INDEX [CL_MySalesOrderDetail] ON [dbo].[MySalesOrderDetail] ( [SalesOrderDetailID]) GO -- Create Sample Data Table -- WARNING: This Query may run upto 2-10 minutes based on your systems resources INSERT INTO [dbo].[MySalesOrderDetail] SELECT S1.* FROM Sales.SalesOrderDetail S1 GO 100 -- Create ColumnStore Index CREATE NONCLUSTERED COLUMNSTORE INDEX [IX_MySalesOrderDetail_ColumnStore] ON [MySalesOrderDetail] (UnitPrice, OrderQty, ProductID) GO Now we have created columnstore index so if we run following query it will use for sure the same index. -- Select Table with regular Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO We can specify Query Hint IGNORE_NONCLUSTERED_COLUMNSTORE_INDEX as described in following query and it will not use columnstore index. -- Select Table with regular Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID OPTION (IGNORE_NONCLUSTERED_COLUMNSTORE_INDEX) GO Let us clean up the database. -- Cleanup DROP INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] GO TRUNCATE TABLE dbo.MySalesOrderDetail GO DROP TABLE dbo.MySalesOrderDetail GO Again, make sure that you use hint sparingly and understanding the proper implication of the same. Make sure that you test it with and without hint and select the best option after review of your administrator. Here is the question for you – have you started to use SQL Server 2012 for your validation and development (not on production)? It will be interesting to know the answer. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Why Cornell University Chose Oracle Data Masking

    - by Troy Kitch
    One of the eight Ivy League schools, Cornell University found itself in the unfortunate position of having to inform over 45,000 University community members that their personal information had been breached when a laptop was stolen. To ensure this wouldn’t happen again, Cornell took steps to ensure that data used for non-production purposes is de-identified with Oracle Data Masking. A recent podcast highlights why organizations like Cornell are choosing Oracle Data Masking to irreversibly de-identify production data for use in non-production environments. Organizations often copy production data, that contains sensitive information, into non-production environments so they can test applications and systems using “real world” information. Data in non-production has increasingly become a target of cyber criminals and can be lost or stolen due to weak security controls and unmonitored access. Similar to production environments, data breaches in non-production environments can cost millions of dollars to remediate and cause irreparable harm to reputation and brand. Cornell’s applications and databases help carry out the administrative and academic mission of the university. They are running Oracle PeopleSoft Campus Solutions that include highly sensitive faculty, student, alumni, and prospective student data. This data is supported and accessed by a diverse set of developers and functional staff distributed across the university. Several years ago, Cornell experienced a data breach when an employee’s laptop was stolen.  Centrally stored backup information indicated there was sensitive data on the laptop. With no way of knowing what the criminal intended, the university had to spend significant resources reviewing data, setting up service centers to handle constituent concerns, and provide free credit checks and identity theft protection services—all of which cost money and took time away from other projects. To avoid this issue in the future Cornell came up with several options; one of which was to sanitize the testing and training environments. “The project management team was brought in and they developed a project plan and implementation schedule; part of which was to evaluate competing products in the market-space and figure out which one would work best for us.  In the end we chose Oracle’s solution based on its architecture and its functionality.” – Tony Damiani, Database Administration and Business Intelligence, Cornell University The key goals of the project were to mask the elements that were identifiable as sensitive in a consistent and efficient manner, but still support all the previous activities in the non-production environments. Tony concludes,  “What we saw was a very minimal impact on performance. The masking process added an additional three hours to our refresh window, but it was well worth that time to secure the environment and remove the sensitive data. I think some other key points you can keep in mind here is that there was zero impact on the production environment. Oracle Data Masking works in non-production environments only. Additionally, the risk of exposure has been significantly reduced and the impact to business was minimal.” With Oracle Data Masking organizations like Cornell can: Make application data securely available in non-production environments Prevent application developers and testers from seeing production data Use an extensible template library and policies for data masking automation Gain the benefits of referential integrity so that applications continue to work Listen to the podcast to hear the complete interview.  Learn more about Oracle Data Masking by registering to watch this SANS Institute Webcast and view this short demo.

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  • Know Your Audience, And/Or Your Customer

    - by steve.diamond
    Yesterday I gave an internal presentation to about 20 Oracle employees on "messaging," not messaging technology, but embarking on the process of building messages. One of the elements I covered was the importance of really knowing and understanding your audience. As a humorous reference I included two side-by-side photos of Oakland A's fans and Oakland Raiders fans. The Oakland A's fans looked like happy-go-lucky drunk types. The Oakland Raiders fans looked like angry extras from a low budget horror flick. I then asked my presentation attendees what these two groups had in common. Here's what I heard. --They're human (at least I THINK they're human). --They're from Oakland. --They're sports fans. After that, it was anyone's guess. A few days earlier we were putting the finishing touches on a sales presentation for one of our product lines. We had included an upfront "lead in" addressing how the economy is improving, yet that doesn't mean sales executives will have any more resources to add to their teams, invest in technology, etc. This "lead in" included miscellaneous news article headlines and statistics validating the slowly improving economy. When we subjected this presentation to internal review two days ago, this upfront section in particular was scrutinized. "Is the economy really getting better? I (exclamation point) don't think it's really getting better. Haven't you seen the headlines coming out of Greece and Europe?" Then the question TO ME became, "Who will actually be in the audience that sees and hears this presentation? Will s/he be someone like me? Or will s/he be someone like the critic who didn't like our lead-in?" We took the safe route and removed that lead in. After all, why start a "pitch" with a component that is arguably subjective? What if many of our audience members are individuals at organizations still facing a strong headwind? For reasons I won't go into here, it was the right decision to make. The moral of the story: Make sure you really know your audience. Harness the wisdom of the information your organization's CRM systems collect to get that fully informed "customer view." Conduct formal research. Conduct INFORMAL research. Ask lots of questions. Study industries and scenarios that have nothing to do with yours to see "how they do it." Stop strangers in coffee shops and on the street...seriously. Last week I caught up with an old friend from high school who recently retired from a 25 year career with the USMC. He said, "I can learn something from every single person I come into contact with." What a great way of approaching the world. Then, think about and write down what YOU like and dislike as a customer. But also remember that when it comes to your company's products, you are most likely NOT the customer, so don't go overboard in superimposing your own world view. Approaching the study of customers this way adds rhyme, reason and CONTEXT to lengthy blog posts like this one. Know your audience.

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  • SQL SERVER – CXPACKET – Parallelism – Advanced Solution – Wait Type – Day 7 of 28

    - by pinaldave
    Earlier we discussed about the what is the common solution to solve the issue with CXPACKET wait time. Today I am going to talk about few of the other suggestions which can help to reduce the CXPACKET wait. If you are going to suggest that I should focus on MAXDOP and COST THRESHOLD – I totally agree. I have covered them in details in yesterday’s blog post. Today we are going to discuss few other way CXPACKET can be reduced. Potential Reasons: If data is heavily skewed, there are chances that query optimizer may estimate the correct amount of the data leading to assign fewer thread to query. This can easily lead to uneven workload on threads and may create CXPAKCET wait. While retrieving the data one of the thread face IO, Memory or CPU bottleneck and have to wait to get those resources to execute its tasks, may create CXPACKET wait as well. Data which is retrieved is on different speed IO Subsystem. (This is not common and hardly possible but there are chances). Higher fragmentations in some area of the table can lead less data per page. This may lead to CXPACKET wait. As I said the reasons here mentioned are not the major cause of the CXPACKET wait but any kind of scenario can create the probable wait time. Best Practices to Reduce CXPACKET wait: Refer earlier article regarding MAXDOP and Cost Threshold. De-fragmentation of Index can help as more data can be obtained per page. (Assuming close to 100 fill-factor) If data is on multiple files which are on multiple similar speed physical drive, the CXPACKET wait may reduce. Keep the statistics updated, as this will give better estimate to query optimizer when assigning threads and dividing the data among available threads. Updating statistics can significantly improve the strength of the query optimizer to render proper execution plan. This may overall affect the parallelism process in positive way. Bad Practice: In one of the recent consultancy project, when I was called in I noticed that one of the ‘experienced’ DBA noticed higher CXPACKET wait and to reduce them, he has increased the worker threads. The reality was increasing worker thread has lead to many other issues. With more number of the threads, more amount of memory was used leading memory pressure. As there were more threads CPU scheduler faced higher ‘Context Switching’ leading further degrading performance. When I explained all these to ‘experienced’ DBA he suggested that now we should reduce the number of threads. Not really! Lower number of the threads may create heavy stalling for parallel queries. I suggest NOT to touch the setting of number of the threads when dealing with CXPACKET wait. Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and I no way claim it to be accurate. I suggest reading book on-line for further clarification. All the discussion of Wait Stats over here is generic and it varies by system to system. You are recommended to test this on development server before implementing to production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: DMV, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • To sample or not to sample...

    - by [email protected]
    Ideally, we would know the exact answer to every question. How many people support presidential candidate A vs. B? How many people suffer from H1N1 in a given state? Does this batch of manufactured widgets have any defective parts? Knowing exact answers is expensive in terms of time and money and, in most cases, is impractical if not impossible. Consider asking every person in a region for their candidate preference, testing every person with flu symptoms for H1N1 (assuming every person reported when they had flu symptoms), or destructively testing widgets to determine if they are "good" (leaving no product to sell). Knowing exact answers, fortunately, isn't necessary or even useful in many situations. Understanding the direction of a trend or statistically significant results may be sufficient to answer the underlying question: who is likely to win the election, have we likely reached a critical threshold for flu, or is this batch of widgets good enough to ship? Statistics help us to answer these questions with a certain degree of confidence. This focuses on how we collect data. In data mining, we focus on the use of data, that is data that has already been collected. In some cases, we may have all the data (all purchases made by all customers), in others the data may have been collected using sampling (voters, their demographics and candidate choice). Building data mining models on all of your data can be expensive in terms of time and hardware resources. Consider a company with 40 million customers. Do we need to mine all 40 million customers to get useful data mining models? The quality of models built on all data may be no better than models built on a relatively small sample. Determining how much is a reasonable amount of data involves experimentation. When starting the model building process on large datasets, it is often more efficient to begin with a small sample, perhaps 1000 - 10,000 cases (records) depending on the algorithm, source data, and hardware. This allows you to see quickly what issues might arise with choice of algorithm, algorithm settings, data quality, and need for further data preparation. Instead of waiting for a model on a large dataset to build only to find that the results don't meet expectations, once you are satisfied with the results on the initial sample, you can  take a larger sample to see if model quality improves, and to get a sense of how the algorithm scales to the particular dataset. If model accuracy or quality continues to improve, consider increasing the sample size. Sampling in data mining is also used to produce a held-aside or test dataset for assessing classification and regression model accuracy. Here, we reserve some of the build data (data that includes known target values) to be used for an honest estimate of model error using data the model has not seen before. This sampling transformation is often called a split because the build data is split into two randomly selected sets, often with 60% of the records being used for model building and 40% for testing. Sampling must be performed with care, as it can adversely affect model quality and usability. Even a truly random sample doesn't guarantee that all values are represented in a given attribute. This is particularly troublesome when the attribute with omitted values is the target. A predictive model that has not seen any examples for a particular target value can never predict that target value! For other attributes, values may consist of a single value (a constant attribute) or all unique values (an identifier attribute), each of which may be excluded during mining. Values from categorical predictor attributes that didn't appear in the training data are not used when testing or scoring datasets. In subsequent posts, we'll talk about three sampling techniques using Oracle Database: simple random sampling without replacement, stratified sampling, and simple random sampling with replacement.

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  • SQL SERVER – Guest Post – Glenn Berry – Wait Type – Day 26 of 28

    - by pinaldave
    Glenn Berry works as a Database Architect at NewsGator Technologies in Denver, CO. He is a SQL Server MVP, and has a whole collection of Microsoft certifications, including MCITP, MCDBA, MCSE, MCSD, MCAD, and MCTS. He is also an Adjunct Faculty member at University College – University of Denver, where he has been teaching since 2000. He is one wonderful blogger and often blogs at here. I am big fan of the Dynamic Management Views (DMV) scripts of Glenn. His script are extremely popular and the reality is that he has inspired me to start this series with his famous DMV which I have mentioned in very first  wait stats blog post (I had forgot to request his permission to re-use the script but when asked later on his whole hearty approved it). Here is is his excellent blog post on this subject of wait stats: Analyzing cumulative wait stats in SQL Server 2005 and above has become a popular and effective technique for diagnosing performance issues and further focusing your troubleshooting and diagnostic  efforts.  Rather than just guessing about what resource(s) that SQL Server is waiting on, you can actually find out by running a relatively simple DMV query. Once you know what resources that SQL Server is spending the most time waiting on, you can run more specific queries that focus on that resource to get a better idea what is causing the problem. I do want to throw out a few caveats about using wait stats as a diagnostic tool. First, they are most useful when your SQL Server instance is experiencing performance problems. If your instance is running well, with no indication of any resource pressure from other sources, then you should not worry that much about what the top wait types are. SQL Server will always be waiting on some resource, but many wait types are quite benign, and can be safely ignored. In spite of this, I quite often see experienced DBAs obsessing over the top wait type, even when their SQL Server instance is running extremely well. Second, I often see DBAs jump to the wrong conclusion based on seeing a particular well-known wait type. A good example is CXPACKET waits. People typically jump to the conclusion that high CXPACKET waits means that they should immediately change their instance-level MADOP setting to 1. This is not always the best solution. You need to consider your workload type, and look carefully for any important “missing” indexes that might be causing the query optimizer to use a parallel plan to compensate for the missing index. In this case, correcting the index problem is usually a better solution than changing MAXDOP, since you are curing the disease rather than just treating the symptom. Finally, you should get in the habit of clearing out your cumulative wait stats with the  DBCC SQLPERF(‘sys.dm_os_wait_stats’, CLEAR); command. This is especially important if you have made an configuration or index changes, or if your workload has changed recently. Otherwise, your cumulative wait stats will be polluted with the old stats from weeks or months ago (since the last time SQL Server was started or the stats were cleared).  If you make a change to your SQL Server instance, or add an index, you should clear out your wait stats, and then wait a while to see what your new top wait stats are. At any rate, enjoy Pinal Dave’s series on Wait Stats. This blog post has been written by Glenn Berry (Twitter | Blog) Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • Monitoring the Application alongside SQL Server

    - by Tony Davis
    Sometimes, on Simple-Talk, it takes a while to spot strange and unexpected patterns of user activity, or small bugs. For example, one morning we spotted that an article’s comment count had leapt to 1485, but that only four were displayed. With some rooting around in Google Analytics, and the endlessly annoying Community Server admin-interface, we were able to work out that a few days previously the article had been subject to a spam attack and that the comment count was for some reason including both accepted and unaccepted comments (which in turn uncovered a bug in the SQL). This sort of incident made us a lot keener on monitoring Simple-talk website usage more effectively. However, the metrics we wanted are troublesome, because they are far too specific for Google Analytics to measure, and the SQL Server backend doesn’t keep sufficient information to enable us to plot trends. The latter could provide, for example, the total number of comments made on, or votes cast for, articles, over all time, but not the number that occur by hour over a set time. We lacked a baseline, in other words. We couldn’t alter the database, as it is a bought-in package. We had neither the resources nor inclination to build-in dedicated application monitoring. Possibly, we could investigate a third-party tool to do the job; but then it occurred to us that we were already using a monitoring tool (SQL Monitor) to keep an eye on the database. It stored data, made graphs and sent alerts. Could we get it to monitor some aspects of the application as well? Of course, SQL Monitor’s single purpose is to check and monitor SQL Server, over time, rather than to monitor applications that use SQL Server. However, how different is the business of gathering and plotting SQL Server Wait Stats, from gathering and plotting various aspects of user activity on the site? Not a lot, it turns out. The latest version allows us to write our own custom monitoring scripts, meaning that we could now monitor any metric in the application that returns an integer. It took little time to write a simple SQL Query that collects basic metrics of the total number of subscribers, votes cast, comments made, or views of articles, over time. The SQL Monitor database polls Simple-Talk every second or so in order to get the latest totals, and can then store and plot this information, or even correlate SQL Server usage to application usage. You can see the live data by visiting monitor.red-gate.com. Click the "Analysis" tab, and select one of the "Simple-talk:" entries in the "Show" box and an appropriate data range (e.g. last 30 days). It’s nascent, and we’re still working on it, but it’s already given us more confidence that we’ll spot quickly trends, bugs, or bursts of ‘abnormal’ activity. If there is a sudden rise in comments, we get an alert, and if it’s due to a spam attack, we can moderate or ban the perpetrator very quickly. We’ve often argued that a tool should perform a single job well rather than turn into a Swiss-army knife, but ironically we’ve rather appreciated being able to make best use of what’s there anyway for a slightly different purpose. Is this a good or common practice? What do you think? Cheers, Tony.

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  • July, the 31 Days of SQL Server DMO’s – Day 19 (sys.dm_exec_query_stats)

    - by Tamarick Hill
    The sys.dm_exec_query_stats DMV is one of the most useful DMV’s out there when it comes to performance tuning. If you have been keeping up with this blog series this month, you know that I started out on Day 1 reviewing many of the DMV’s within the ‘exec’ namespace. I’m not sure how I missed this one considering how valuable it is, but hey, they say it’s better late than never right?? On Day 7 and Day 8 we reviewed the sys.dm_exec_procedure_stats and sys.dm_exec_trigger_stats respectively. This sys.dm_exec_query_stats DMV is very similar to these two. As a matter of fact, this DMV will return all of the information you saw in the other two DMV’s, but in addition to that, you can see stats for all queries that have cached execution plans on your server. You can even see stats for statements that are ran Ad-Hoc as long as they are still cached in the buffer pool. To better illustrate this DMV, let have a quick look at it: SELECT * FROM sys.dm_exec_query_stats As you can see, there is a lot of information returned from this DMV. I wont go into detail about each and every one of these columns, but I will touch on a few of them briefly. The first column is the ‘sql_handle’, which if you remember from Day 4 of our blog series, I explained how you can use this column to extract the actual SQL text that was executed. The next columns statement_start_offset and statement_end_offset provide you a way of extracting the exact SQL statement that was executed as part of a batch. The plan_handle column is used to extract the Execution plan that was used, which we talked about during Day 5 of this blog series. Later in the result set, you have columns to identify how many times a particular statement was executed, how much CPU time it used, how many reads/writes it performed, the duration, how many rows were returned, etc. These columns provide you with a solid avenue to begin your performance optimization. The last column I will touch on is the query_plan_hash column. A lot of times when you have Dynamic SQL running on your server, you have similar statements with different parameter values being passed in. Many times these types of statements will get similar execution plans and then a Binary hash value can be generated based on these similar plans. This query plan hash can be used to find the cost of all queries that have similar execution plans and then you can tune based on that plan to improve the performance of all of the individual queries. This is a very powerful way of identifying and tuning Ad-hoc statements that run on your server. As I stated earlier, this sys.dm_exec_query_stats DMV is a very powerful and recommended DMV for performance tuning. You are able to quickly identify statements that are running on your server and analyze their impact on system resources. Using this DMV to track down the biggest performance killers on your server will allow you to make the biggest gains once you focus your tuning efforts on those top offenders. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms189741.aspx Follow me on Twitter @PrimeTimeDBA

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  • Adventures in MVVM &ndash; ViewModel Location and Creation

    - by Brian Genisio's House Of Bilz
    More Adventures in MVVM In this post, I am going to explore how I prefer to attach ViewModels to my Views.  I have published the code to my ViewModelSupport project on CodePlex in case you'd like to see how it works along with some examples.  Some History My approach to View-First ViewModel creation has evolved over time.  I have constructed ViewModels in code-behind.  I have instantiated ViewModels in the resources sectoin of the view. I have used Prism to resolve ViewModels via Dependency Injection. I have created attached properties that use Dependency Injection containers underneath.  Of all these approaches, I continue to find issues either in composability, blendability or maintainability.  Laurent Bugnion came up with a pretty good approach in MVVM Light Toolkit with his ViewModelLocator, but as John Papa points out, it has maintenance issues.  John paired up with Glen Block to make the ViewModelLocator more generic by using MEF to compose ViewModels.  It is a great approach, but I don’t like baking in specific resolution technologies into the ViewModelSupport project. I bring these people up, not to name drop, but to give them credit for the place I finally landed in my journey to resolve ViewModels.  I have come up with my own version of the ViewModelLocator that is both generic and container agnostic.  The solution is blendable, configurable and simple to use.  Use any resolution mechanism you want: MEF, Unity, Ninject, Activator.Create, Lookup Tables, new, whatever. How to use the locator 1. Create a class to contain your resolution configuration: public class YourViewModelResolver: IViewModelResolver { private YourFavoriteContainer container = new YourFavoriteContainer(); public YourViewModelResolver() { // Configure your container } public object Resolve(string viewModelName) { return container.Resolve(viewModelName); } } Examples of doing this are on CodePlex for MEF, Unity and Activator.CreateInstance. 2. Create your ViewModelLocator with your custom resolver in App.xaml: <VMS:ViewModelLocator x:Key="ViewModelLocator"> <VMS:ViewModelLocator.Resolver> <local:YourViewModelResolver /> </VMS:ViewModelLocator.Resolver> </VMS:ViewModelLocator> 3. Hook up your data context whenever you want a ViewModel (WPF): <Border DataContext="{Binding YourViewModelName, Source={StaticResource ViewModelLocator}}"> This example uses dynamic properties on the ViewModelLocator and passes the name to your resolver to figure out how to compose it. 4. What about Silverlight? Good question.  You can't bind to dynamic properties in Silverlight 4 (crossing my fingers for Silverlight 5), but you CAN use string indexing: <Border DataContext="{Binding [YourViewModelName], Source={StaticResource ViewModelLocator}}"> But, as John Papa points out in his article, there is a silly bug in Silverlight 4 (as of this writing) that will call into the indexer 6 times when it binds.  While this is little more than a nuisance when getting most properties, it can be much more of an issue when you are resolving ViewModels six times.  If this gets in your way, the solution (as pointed out by John), is to use an IndexConverter (instantiated in App.xaml and also included in the project): <Border DataContext="{Binding Source={StaticResource ViewModelLocator}, Converter={StaticResource IndexConverter}, ConverterParameter=YourViewModelName}"> It is a bit uglier than the WPF version (this method will also work in WPF if you prefer), but it is still not all that bad.  Conclusion This approach works really well (I suppose I am a bit biased).  It allows for composability from any mechanisim you choose.  It is blendable (consider serving up different objects in Design Mode if you wish... or different constructors… whatever makes sense to you).  It works in Cider.  It is configurable.  It is flexible.  It is the best way I have found to manage View-First ViewModel hookups.  Thanks to the guys mentioned in this article for getting me to something I love using.  Enjoy.

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  • How to detect and configure an output with xrandr?

    - by ysap
    I have a DELL U2410 monitor connected to a Compaq 100B desktop equipped with an integrated AMD/ATI graphics card (AMD E-350). The installed O/S is Ubuntu 10.04 LTS. The computer is connected to the monitor via the DVI connection. The problem is that I cannot set the desktop resolution to the native 1920x1200. The maximum allowed resolution is 1600x1200. Doing some research I found about the xrandr utility. Unfortunately, when trying to use it I cannot configure it to the required resolution. First, it does not report the output name (which supposed to be DVI-0), saying default instead. Without it I cannot use the --fb option. The EDID utility seems to identify the monitor well. Here's the output from get-edid: # EDID version 1 revision 3 Section "Monitor" # Block type: 2:0 3:ff # Block type: 2:0 3:fc Identifier "DELL U2410" VendorName "DEL" ModelName "DELL U2410" # Block type: 2:0 3:ff # Block type: 2:0 3:fc # Block type: 2:0 3:fd HorizSync 30-81 VertRefresh 56-76 # Max dot clock (video bandwidth) 170 MHz # DPMS capabilities: Active off:yes Suspend:yes Standby:yes Mode "1920x1200" # vfreq 59.950Hz, hfreq 74.038kHz DotClock 154.000000 HTimings 1920 1968 2000 2080 VTimings 1200 1203 1209 1235 Flags "-HSync" "+VSync" EndMode # Block type: 2:0 3:ff # Block type: 2:0 3:fc # Block type: 2:0 3:fd EndSection but the xrandr -q command returns: Screen 0: minimum 640 x 400, current 1600 x 1200, maximum 1600 x 1200 default connected 1600x1200+0+0 0mm x 0mm 1600x1200 0.0* 1280x1024 0.0 1152x864 0.0 1024x768 0.0 800x600 0.0 640x480 0.0 720x400 0.0 When I try to set the resolution, I get: $ xrandr --fb 1920x1200 xrandr: screen cannot be larger than 1600x1200 (desired size 1920x1200) $ xrandr --output DVI-0 --auto warning: output DVI-0 not found; ignoring How can I set the screen resolution to 1920x1200? Why doesn't xrandr identify the DVI-0 output? Note that the same computer running Ubuntu version higher than 10.04 detects the correct resolution with no problems. On this machine I cannot upgrade due to some legacy hardware compatibility problems. Also, I don't see any optional screen drivers available in the Hardware Drivers dialog. ---- UPDATE: following the answer to this question, I got some advance. Now the required mode is listed in the xrandr -q list, but I can't switch to that mode. Using the Monitors applet (which now shows the new mode), I get the response that: The selected configuration for displays could not be applied. Could not set the configuration to CRTC 262. From the command line it looks like this: $ cvt 1920 1200 60 # 1920x1200 59.88 Hz (CVT 2.30MA) hsync: 74.56 kHz; pclk: 193.25 MHz Modeline "1920x1200_60.00" 193.25 1920 2056 2256 2592 1200 1203 1209 1245 -hsync +vsync $ xrandr --newmode "1920x1200_60.00" 193.25 1920 2056 2256 2592 1200 1203 1209 1245 -hsync +vsync $ xrandr -q Screen 0: minimum 640 x 400, current 1600 x 1200, maximum 1600 x 1200 default connected 1600x1200+0+0 0mm x 0mm 1600x1200 0.0* 1280x1024 0.0 1152x864 0.0 1024x768 0.0 800x600 0.0 640x480 0.0 720x400 0.0 1920x1200_60.00 (0x120) 193.0MHz h: width 1920 start 2056 end 2256 total 2592 skew 0 clock 74.5KHz v: height 1200 start 1203 end 1209 total 1245 clock 59.8Hz $ xrandr --addmode default 1920x1200_60.00 $ xrandr -q Screen 0: minimum 640 x 400, current 1600 x 1200, maximum 1600 x 1200 default connected 1600x1200+0+0 0mm x 0mm 1600x1200 0.0* 1280x1024 0.0 1152x864 0.0 1024x768 0.0 800x600 0.0 640x480 0.0 720x400 0.0 1920x1200_60.00 59.8 $ xrandr --output default --mode 1920x1200_60.00 xrandr: Configure crtc 0 failed Another piece of info (if it helps anyone): $ sudo lshw -c video *-display UNCLAIMED description: VGA compatible controller product: ATI Technologies Inc vendor: ATI Technologies Inc physical id: 1 bus info: pci@0000:00:01.0 version: 00 width: 32 bits clock: 33MHz capabilities: pm pciexpress msi bus_master cap_list configuration: latency=0 resources: memory:c0000000-cfffffff(prefetchable) ioport:f000(size=256) memory:feb00000-feb3ffff

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  • Oracle TimesTen In-Memory Database Performance on SPARC T4-2

    - by Brian
    The Oracle TimesTen In-Memory Database is optimized to run on Oracle's SPARC T4 processor platforms running Oracle Solaris 11 providing unsurpassed scalability, performance, upgradability, protection of investment and return on investment. The following demonstrate the value of combining Oracle TimesTen In-Memory Database with SPARC T4 servers and Oracle Solaris 11: On a Mobile Call Processing test, the 2-socket SPARC T4-2 server outperforms: Oracle's SPARC Enterprise M4000 server (4 x 2.66 GHz SPARC64 VII+) by 34%. Oracle's SPARC T3-4 (4 x 1.65 GHz SPARC T3) by 2.7x, or 5.4x per processor. Utilizing the TimesTen Performance Throughput Benchmark (TPTBM), the SPARC T4-2 server protects investments with: 2.1x the overall performance of a 4-socket SPARC Enterprise M4000 server in read-only mode and 1.5x the performance in update-only testing. This is 4.2x more performance per processor than the SPARC64 VII+ 2.66 GHz based system. 10x more performance per processor than the SPARC T2+ 1.4 GHz server. 1.6x better performance per processor than the SPARC T3 1.65 GHz based server. In replication testing, the two socket SPARC T4-2 server is over 3x faster than the performance of a four socket SPARC Enterprise T5440 server in both asynchronous replication environment and the highly available 2-Safe replication. This testing emphasizes parallel replication between systems. Performance Landscape Mobile Call Processing Test Performance System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 218,400 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 162,900 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 80,400 TimesTen Performance Throughput Benchmark (TPTBM) Read-Only System Processor Sockets/Cores/Threads Tps SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 7.9M SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 6.5M M4000 SPARC64 VII+, 2.66 GHz 4 16 32 3.1M T5440 SPARC T2+, 1.4 GHz 4 32 256 3.1M TimesTen Performance Throughput Benchmark (TPTBM) Update-Only System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 547,800 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 363,800 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 240,500 TimesTen Replication Tests System Processor Sockets/Cores/Threads Asynchronous 2-Safe SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 38,024 13,701 SPARC T5440 SPARC T2+, 1.4 GHz 4 32 256 11,621 4,615 Configuration Summary Hardware Configurations: SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 4 x 300 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head SPARC T3-4 server 4 x SPARC T3 processors, 1.6 GHz 512 GB memory 1 x 8 Gbs FC Qlogic HBA 8 x 146 GB internal disks 1 x Sun Fire X4275 server configured as COMSTAR head SPARC Enterprise M4000 server 4 x SPARC64 VII+ processors, 2.66 GHz 128 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 2 x 146 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head Software Configuration: Oracle Solaris 11 11/11 Oracle TimesTen 11.2.2.4 Benchmark Descriptions TimesTen Performance Throughput BenchMark (TPTBM) is shipped with TimesTen and measures the total throughput of the system. The workload can test read-only, update-only, delete and insert operations as required. Mobile Call Processing is a customer-based workload for processing calls made by mobile phone subscribers. The workload has a mixture of read-only, update, and insert-only transactions. The peak throughput performance is measured from multiple concurrent processes executing the transactions until a peak performance is reached via saturation of the available resources. Parallel Replication tests using both asynchronous and 2-Safe replication methods. For asynchronous replication, transactions are processed in batches to maximize the throughput capabilities of the replication server and network. In 2-Safe replication, also known as no data-loss or high availability, transactions are replicated between servers immediately emphasizing low latency. For both environments, performance is measured in the number of parallel replication servers and the maximum transactions-per-second for all concurrent processes. See Also SPARC T4-2 Server oracle.com OTN Oracle TimesTen In-Memory Database oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 1 October 2012.

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  • How to Set Up Your Enterprise Social Organization

    - by Mike Stiles
    The rush for business organizations to establish, grow, and adopt social was driven out of necessity and inevitability. The result, however, was a sudden, booming social presence creating touch points with customers, partners and influencers, but without any corporate social organization or structure in place to effectively manage it. Even today, many business leaders remain uncertain as to how to corral this social media thing so that it makes sense for their enterprise. Imagine their panic when they hear one of the most beneficial approaches to corporate use of social involves giving up at least some hierarchical control and empowering employees to publicly engage customers. And beyond that, they should also be empowered, regardless of their corporate status, to engage and collaborate internally, spurring “off the grid” innovation. An HBR blog points out that traditionally, enterprise organizations function from the top down, and employees work end-to-end, structured around business processes. But the social enterprise opens up structures that up to now have not exactly been embraced by turf-protecting executives and managers. The blog asks, “What if leaders could create a future where customers, associates and suppliers are no longer seen as objects in the system but as valued sources of innovation, ideas and energy?” What if indeed? The social enterprise activates internal resources without the usual obsession with position. It is the dawn of mass collaboration. That does not, however, mean this mass collaboration has to lead to uncontrolled chaos. In an extended interview with Oracle, Altimeter Group analyst Jeremiah Owyang and Oracle SVP Reggie Bradford paint a complete picture of today’s social enterprise, including internal organizational structures Altimeter Group has seen emerge. One sign of a mature social enterprise is the establishing of a social Center of Excellence (CoE), which serves as a hub for high-level social strategy, training and education, research, measurement and accountability, and vendor selection. This CoE is led by a corporate Social Strategist, most likely from a Marketing or Corporate Communications background. Reporting to them are the Community Managers, the front lines of customer interaction and engagement; business unit liaisons that coordinate the enterprise; and social media campaign/product managers, social analysts, and developers. With content rising as the defining factor for social success, Altimeter also sees a Content Strategist position emerging. Across the enterprise, Altimeter has seen 5 organizational patterns. Watching the video will give you the pros and cons of each. Decentralized - Anyone can do anything at any time on any social channel. Centralized – One central groups controls all social communication for the company. Hub and Spoke – A centralized group, but business units can operate their own social under the hub’s guidance and execution. Most enterprises are using this model. Dandelion – Each business unit develops their own social strategy & staff, has its own ability to deploy, and its own ability to engage under the central policies of the CoE. Honeycomb – Every employee can do social, but as opposed to the decentralized model, it’s coordinated and monitored on one platform. The average enterprise has a whopping 178 social accounts, nearly ¼ of which are usually semi-idle and need to be scrapped. The last thing any C-suite needs is to cope with fragmented technologies, solutions and platforms. It’s neither scalable nor strategic. The prepared, effective social enterprise has a technology partner that can quickly and holistically integrate emerging platforms and technologies, such that whatever internal social command structure you’ve set up can continue efficiently executing strategy without skipping a beat. @mikestiles

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  • Podcast Show Notes: Collaborate 10 Wrap-Up - Part 1

    - by Bob Rhubart
    OK, I know last week I promised you a program featuring Oracle ACE Directors Mike van Alst (IT-Eye) and Jordan Braunstein (TUSC) and The Definitive Guide to SOA: Oracle Service Bus author Jeff Davies. But things happen. In this case, what happened was Collaborate 10 in Las Vegas. Prior to the event I asked Oracle ACE Director and OAUG board member Floyd Teter to see if he could round up a couple of people at the event for an impromtu interview over Skype (I was here in Cleveland) to get their impressions of the event. Listen to Part 1 Floyd, armed with his brand new iPad, went above and beyond the call of duty. At the appointed hour, which turned out to be about hour after the close of Collaborate 10,  Floyd had gathered nine other people to join him in a meeting room somewhere in the Mandalay Bay Convention Center. Here’s the entire roster: Floyd Teter - Project Manager at Jet Propulsion Lab, OAUG Board Blog | Twitter | LinkedIn | Oracle Mix | Oracle ACE Profile Mark Rittman - EMEA Technical Director and Co-Founder, Rittman Mead,  ODTUG Board Blog | Twitter | LinkedIn | Oracle Mix | Oracle ACE Profile Chet Justice - OBI Consultant at BI Wizards Blog | Twitter | LinkedIn | Oracle Mix | Oracle ACE Profile Elke Phelps - Oracle Applications DBA at Humana, OAUG SIG Chair Blog | LinkedIn | Oracle Mix | Book | Oracle ACE Profile Paul Jackson - Oracle Applications DBA at Humana Blog | LinkedIn | Oracle Mix | Book Srini Chavali - Enterprise Database & Tools Leader at Cummins, Inc Blog | LinkedIn | Oracle Mix Dave Ferguson – President, Oracle Applications Users Group LinkedIn | OAUG Profile John King - Owner, King Training Resources Website | LinkedIn | Oracle Mix Gavyn Whyte - Project Portfolio Manager at iFactory Consulting Blog | Twitter | LinkedIn | Oracle Mix John Nicholson - Channels & Alliances at Greenlight Technologies Website | LinkedIn Big thanks to Floyd for assembling the panelists and handling the on-scene MC/hosting duties.  Listen to Part 1 On a technical note, this discussion was conducted over Skype, using Floyd’s iPad, placed in the middle of the table.  During the call the audio was fantastic – the iPad did a remarkable job. Sadly, the Technology Gods were not smiling on me that day. The audio set-up that I tested successfully before the call failed to deliver when we first connected – I could hear the folks in Vegas, but they couldn’t hear me. A frantic, last-minute adjustment appeared to have fixed that problem, and the audio in my headphones from both sides of the conversation was loud and clear.  It wasn’t until I listened to the playback that I realized that something was wrong. So the audio for Vegas side of the discussion has about the same fidelity as a cell phone. It’s listenable, but disappointing when compared to what it sounded like during the discussion. Still, this was a one shot deal, and the roster of panelists and the resulting conversation was too good and too much fun to scrap just because of an unfortunate technical glitch.   Part 2 of this Collaborate 10 Wrap-Up will run next week. After that, it’s back on track with the previously scheduled program. So stay tuned: RSS del.icio.us Tags: oracle,otn,collborate 10,c10,oracle ace program,archbeat,arch2arch,oaug,odtug,las vegas Technorati Tags: oracle,otn,collborate 10,c10,oracle ace program,archbeat,arch2arch,oaug,odtug,las vegas

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  • Reminder: Benefícios da Virtualização para ISVs - 14/Dez/10, Porto

    - by Paulo Folgado
    Esta formação aborda as principais dificuldades com que os Independent Software Vendors (ISVs) se confrontam quando têm de escolher as plataformas sobre as quais irão certificar, instalar e suportar as suas aplicações, e como o Oracle VM (e o Oracle Enterprise Linux) os podem ajudar a ultrapassar essas dificuldades. O modelo de negócio clássico de um ISV - desenvolver uma solução aplicacional para resolver um determinado problema de negócio, analizar o mercado para determinar quais os sistemas operativos e o hardware que os clientes do seu mercado alvo usam, e decidir suportar as plataformas hardware e software que 80% dos seus clientes do seu mercado alvo usam (e tratar como excepções outras configurações que lhe sejam solicitadas por alguns clientes importantes) - funcionou bem no anos 80 e princípios dos anos 90, quando havia uma menor diversidade de plataformas. Contudo, com o aparecimentos nos últimos anos de múltiplas versões de sistemas operativos e de "sabores" Linux, este modelo começou a tornar-se um pesadelo. Cada cliente tem a sua plataforma de eleição e espera dos ISV que suportem essas suas opções, o que constitui um sorvedouro dos recursos e dos custos dos ISVs. As tecnologias de virtualização da Oracle, ao permitirem "simular" uma determinada configuração de hardware, fazendo com que o sistema operativo "pense" que está correr numa configuração de hardware pré-definida e normalizada, na qual correm as aplicações, constituem um veículo excelente para os ISVs que procuram uma solução simples, fácil de instalar e fácil de suportar para instalação das suas aplicações, permitindo obter grandes economias de custos em termos de desenvolvimento, teste e suporte dessas aplicações. Quem deve assistir? Esta formação dirige-se sobretudo a quem que tomar decisões sobre as plataformas tecnológicas que o ISV tem de suportar, assim como a quem lida com a estrutura de custos da suas operações, com uma visão dos custos associados ao desenvolvimento, certificação, instalação e suporte de múltiplas plataformas. Se quer saber mais sobre o Oracle VM e como ele pode ajudar a reduzir drasticamente os sues custos, não perca esta formação. AGENDA: 09:00 Welcome & Introduction  ISV Partner View... Why Use Virtualization?   The ISV Deployment Dilemma: The Problem of Supporting Multiple Platforms  How can Virtualization Help?  The use of Templates What is a Template?  How are Templates Created?  Customer's Point of View  Assembly Builder  Weblogic Virtual Edition Managing Oracle VM Best Practices for Virtualizing Oracle Database 11g  Managing Virtual Environments  Coffee Break   Oracle Complete and Integrated Virtualization Portfolio From Datacenter to Desktop  The Next Generation Virtualization  Private Cloud with Middleware Virtualization  Benefits of Using Oracle VM (and Oracle Enterprise Linux) Support Advantages  Production Ready Virtual Machines  Licensing Terms  Partner Resources and OPN Benefits  12:45 Q&A and Wrap-up  Data: 14 de Dezembro - 09h00 / 13h00Local: Oracle Portugal, Av. da Boavista, 1837- Edifício Burgo - Escritório 13.4, 4100-133 PORTO Audiência: Responsáveis de Desenvolvimento, de Tecnologia e Serviços dos parceiros ISV da Oracle Formação realizada pela Altimate

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  • Welcome to the Oracle EMEA Partner Community for Exadata!

    - by javier.puerta(at)oracle.com
      The EMEA Partner Community for Exadata is the place where partners in Europe, Middle East and Africa can share experiences and best practices about selling and implementing Exadata projects. You will also receive first-hand information from Oracle on products, training and tools that can help you better market, sell and implement your Exadata-based projects and services    Who should join the Community? Community membership is for individuals. If you are working for a company that is an Oracle partner and your job is selling, implementing or supporting Exadata projects in EMEA then this community is for you.    How is this different from the Oracle Exadata Knowledge Zone? The Oracle Exadata Knowledge Zone is the fundamental source of information from Oracle for partners interested in specializing on Exadata. It is higly recommended that you get access to the Knowledge Zones related to the product areas of your interest. To get access to any of the Knowledge Zones an application must be completed by the Partner Program Administrator for your company. The Exadata Partner Community complements the Knowledge Zone by providing partners with information which is specific for the EMEA market (market, references, training, events,..) and it is also a mechanism to share experiences and best practices among partners in marketing, selling, implementing and supporting Exadata projects.   How to join?  For you to be able to register as an individual, your company must be member of the Oracle PartnerNetwork (OPN) and should be working towards becoming OPN Specialized in Exadata. If this is the case then Join the EMEA Exadata Partner Community Now! If your company is not an OPN member yet, then Join Oracle PartnerNetwork first.   How do you get access to the information for the community members? We use two mechanisms to provide and share information: The EMEA Exadata Partner Community blog. This is a public blog and we use it to provide  quick and easy communication to the community members. For detailed or restricted material we will point you to a restricted area. The EMEA Exadata Partner Community Collaborative Workspace. This is an area with restricted access that only community members can access. It contains materials from community events, sales kits, implementation experiences,... reserved to community members. It also allows for partners to share content and collaborate with other community members. You will get access to this restricted area when you register as a member of the EMEA Exadata Partner Community     Need help? I hope that you will find useful the resources and the experience exchange provided by the community. If you need help or any further clarification, don't hesitate to contact me!  Javier Puerta ([email protected])Director Core Technology Partner ProgramsAlliances & Channels EMEAPhone: +34916312141 Mobile: +34609062373   

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  • F# in ASP.NET, mathematics and testing

    - by DigiMortal
    Starting from Visual Studio 2010 F# is full member of .NET Framework languages family. It is functional language with syntax specific to functional languages but I think it is time for us also notice and study functional languages. In this posting I will show you some examples about cool things other people have done using F#. F# and ASP.NET As I am ASP/ASP.NET MVP I am – of course – interested in how people use different languages and technologies with ASP.NET. C# MVP Tomáš Petrícek writes about developing ASP.NET MVC applications using F#. He also shows how to use LINQ To SQL in F# (using F# PowerPack) and provides sample solution and Visual Studio 2010 template for F# MVC web applications. You may also find interesting how you can create controllers in F#. Excellent work, Tomáš! Vladimir Matveev has interesting example about how to use F# and ApplicationHost class to process ASP.NET requests ouside of IIS. This is simple and very straight-forward example and I strongly suggest you to take a look at it. Very cool example is project Strom in Codeplex. Storm is web services testing tool that is fully written on F#. Take a look at this site because Codeplex offers also source code besides binaries. Math Functional languages are strong in fields like mathematics and physics. When I wrote my C# example about BigInteger class I found out that recursive version of Fibonacci algorithm in C# is not performing well. In same time I made same experiment on F# and in F# there were no performance problems with recursive version. You can find F# version of Fibonacci algorithm from Bob Palmer’s blog posting Fibonacci numbers in F#. Although golden spiral is useful for solving many problems I looked for some practical code example and found one. Kean Walmsley published in his Through the Interface blog very interesting posting Creating Fibonacci spirals in AutoCAD using F#. There are also other cool examples you may be interested in. Using numerical components by Extreme Optimization  it is possible to make some numerical integration (quadrature method) using F# (also C# example is available). fsharp.it introduces factorials calculation on F#. Robert Pickering has made very good work on programming The Game of Life in Silverlight and F# – I definitely suggest you to try out this example as it is very illustrative too. Who wants something more complex may take a look at Newton basin fractal example in F# by Jonathan Birge. Testing After some searching and surfing I found out that there is almost everything available for F# to write tests and test your F# code. FsCheck - FsCheck is a port of Haskell's QuickCheck. Important parts of the manual for using FsCheck is almost literally "adapted" from the QuickCheck manual and paper. Any errors and omissions are entirely my responsibility. FsTest - This project is designed to Language Oriented Programming constructs around unit testing and behavior testing in F#. The goal of this project is to create a Domain Specific Language for testing F# code in a way that makes sense for functional programming. FsUnit - FsUnit makes unit-testing with F# more enjoyable. It adds a special syntax to your favorite .NET testing framework. xUnit.NET - xUnit.net is a developer testing framework, built to support Test Driven Development, with a design goal of extreme simplicity and alignment with framework features. It is compatible with .NET Framework 2.0 and later, and offers several runners: console, GUI, MSBuild, and Visual Studio integration via TestDriven.net, CodeRush Test Runner and Resharper. It also offers test project integration for ASP.NET MVC. Getting started Well, as a first thing you need Visual Studio 2010. Then take a look at these resources: F# samples @ MSDN Microsoft F# Developer Center @ MSDN F# Language Reference @ MSDN F# blog F# forums Real World Functional Programming: With Examples in F# and C# (Amazon) Happy F#-ing! :)

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  • Silverlight Cream for February 09, 2011 -- #1044

    - by Dave Campbell
    In this Issue: Vikas, Tony Champion, Peter Kuhn, Ollie Riches, Rich Griffin, Rob Eisenberg, Andrea Boschin, Rudi Grobler(-2-), Jesse Liberty, Dan Wahlin, Roberto Sonnino, Deborah Kurata. Above the Fold: Silverlight: "Silverlight double click event" Vikas WP7: "Logging in Silverlight and WP7 with MVVM Light" Tony Champion XNA: "XNA for Silverlight developers: Part 3 - Animation (transforms)" Peter Kuhn Shoutouts: Vikas deserves congratulations for passing the beta Silverlight 4 exam, but in the process he has a great list of resources to help you do the same: Exam 70-506 ( TS: Silverlight 4, Development ) From SilverlightCream.com: Silverlight double click event Vikas demonstrates 3 ways to come up with a double-click in Silverlight: Timer, Rx Framework, and Behavior with code for each. Logging in Silverlight and WP7 with MVVM Light Tony Champion is discussing logging... and since he finds himself doing it in every project, he's setting up an extensible solution he can reuse and is doing so with MVVMLight XNA for Silverlight developers: Part 3 - Animation (transforms) Peter Kuhn has part 3 of his XNA for WP7 series up at SilverlightShow. In this 3rd tutorial, Peter is discussing animation with Transformations.... remember... this is XNA! WP7Contrib: Location Push Model Ollie Riches posts from the WP7C and discusses how they provide an interface for location service by abstracting away the GeoCoordinateWatcher class and provide a clean push model using the IObservable as the return types for all variants. WP7 Contrib – When messaging becomes messy and services shine Rich Griffin pulls another post up from WP7C where he discusses swapping out using Service Styles rather than Messenger Styles... in his words "when we start getting friction trying to bend the framework api to do something that it was not really meant for its time to use something [that] solves the problem better" Herding Code 104: Rob Eisenberg on Caliburn Micro Rob Eisenberg is interviewed on the latest Herding Code, talking about his baby, Caliburn Micro, and tons of other stuff as well... just check out the list of links generated for this show. Windows Phone 7 - Part #4: The application lifecycle Andrea Boschin has part 4 of his WP7 tutorial series up at SilverlightShow... In this tutorial he does a complete run-down the the WP7 Application Life-Cycle Simple Error Reporting on WP7 Rudi Grobler has a code snippet up that, with the end-user's permission of course, emails problem reports back to you... very cool idea. Simple Error Reporting on WP7 REDUX Rudi Grobler demonstrates using the Coding4Fun toolkit to display an exception prompt to the user... and then possibly email the report to you..see Rudi's other post on that. Creating An Application Bar–Don’t Panic In his latest (number 31) WP7 From Scratch episode, Jesse Liberty takes on the ApplicationBar, and uses Blend to get the job done easier. Syncing Data with a Server using Silverlight and HTTP Polling Duplex Dan Wahlin revisits some older posts of his about Push technologies in Silverlight, and provides some great insight (and code) into Http Polling Duplex Quick WPF/Silverlight tips to make great videos of your apps Roberto Sonnino has some great tips on making awesome videos of your WPF or Silverlight app. Simple Silverlight MVVM Base Class Deborah Kurata has her take at a good MVVM base class as the subject of her latest post... good points and good code. Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

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  • How to develop RPG Damage Formulas?

    - by user127817
    I'm developing a classical 2d RPG (in a similar vein to final fantasy) and I was wondering if anyone had some advice on how to do damage formulas/links to resources/examples? I'll explain my current setup. Hopefully I'm not overdoing it with this question, and I apologize if my questions is too large/broad My Characters stats are composed of the following: enum Stat { HP = 0, MP = 1, SP = 2, Strength = 3, Vitality = 4, Magic = 5, Spirit = 6, Skill = 7, Speed = 8, //Speed/Agility are the same thing Agility = 8, Evasion = 9, MgEvasion = 10, Accuracy = 11, Luck = 12, }; Vitality is basically defense to physical attacks and spirit is defense to magic attacks. All stats have fixed maximums (9999 for HP, 999 for MP/SP and 255 for the rest). With abilities, the maximums can be increased (99999 for HP, 9999 for HP/SP, 999 for the rest) with typical values (at level 100) before/after abilities+equipment+etc will be 8000/20,000 for HP, 800/2000 for SP/MP, 180/350 for other stats Late game Enemy HP will typically be in the lower millions (with a super boss having the maximum of ~12 million). I was wondering how do people actually develop proper damage formulas that scale correctly? For instance, based on this data, using the damage formulas for Final Fantasy X as a base looked very promising. A full reference here http://www.gamefaqs.com/ps2/197344-final-fantasy-x/faqs/31381 but as a quick example: Str = 127, 'Attack' command used, enemy Def = 34. 1. Physical Damage Calculation: Step 1 ------------------------------------- [{(Stat^3 ÷ 32) + 32} x DmCon ÷16] Step 2 ---------------------------------------- [{(127^3 ÷ 32) + 32} x 16 ÷ 16] Step 3 -------------------------------------- [{(2048383 ÷ 32) + 32} x 16 ÷ 16] Step 4 --------------------------------------------------- [{(64011) + 32} x 1] Step 5 -------------------------------------------------------- [{(64043 x 1)}] Step 6 ---------------------------------------------------- Base Damage = 64043 Step 7 ----------------------------------------- [{(Def - 280.4)^2} ÷ 110] + 16 Step 8 ------------------------------------------ [{(34 - 280.4)^2} ÷ 110] + 16 Step 9 ------------------------------------------------- [(-246)^2) ÷ 110] + 16 Step 10 ---------------------------------------------------- [60516 ÷ 110] + 16 Step 11 ------------------------------------------------------------ [550] + 16 Step 12 ---------------------------------------------------------- DefNum = 566 Step 13 ---------------------------------------------- [BaseDmg * DefNum ÷ 730] Step 14 --------------------------------------------------- [64043 * 566 ÷ 730] Step 15 ------------------------------------------------------ [36248338 ÷ 730] Step 16 ------------------------------------------------- Base Damage 2 = 49655 Step 17 ------------ Base Damage 2 * {730 - (Def * 51 - Def^2 ÷ 11) ÷ 10} ÷ 730 Step 18 ---------------------- 49655 * {730 - (34 * 51 - 34^2 ÷ 11) ÷ 10} ÷ 730 Step 19 ------------------------- 49655 * {730 - (1734 - 1156 ÷ 11) ÷ 10} ÷ 730 Step 20 ------------------------------- 49655 * {730 - (1734 - 105) ÷ 10} ÷ 730 Step 21 ------------------------------------- 49655 * {730 - (1629) ÷ 10} ÷ 730 Step 22 --------------------------------------------- 49655 * {730 - 162} ÷ 730 Step 23 ----------------------------------------------------- 49655 * 568 ÷ 730 Step 24 -------------------------------------------------- Final Damage = 38635 I simply modified the dividers to include the attack rating of weapons and the armor rating of armor. Magic Damage is calculated as follows: Mag = 255, Ultima is used, enemy MDef = 1 Step 1 ----------------------------------- [DmCon * ([Stat^2 ÷ 6] + DmCon) ÷ 4] Step 2 ------------------------------------------ [70 * ([255^2 ÷ 6] + 70) ÷ 4] Step 3 ------------------------------------------ [70 * ([65025 ÷ 6] + 70) ÷ 4] Step 4 ------------------------------------------------ [70 * (10837 + 70) ÷ 4] Step 5 ----------------------------------------------------- [70 * (10907) ÷ 4] Step 6 ------------------------------------ Base Damage = 190872 [cut to 99999] Step 7 ---------------------------------------- [{(MDef - 280.4)^2} ÷ 110] + 16 Step 8 ------------------------------------------- [{(1 - 280.4)^2} ÷ 110] + 16 Step 9 ---------------------------------------------- [{(-279.4)^2} ÷ 110] + 16 Step 10 -------------------------------------------------- [(78064) ÷ 110] + 16 Step 11 ------------------------------------------------------------ [709] + 16 Step 12 --------------------------------------------------------- MDefNum = 725 Step 13 --------------------------------------------- [BaseDmg * MDefNum ÷ 730] Step 14 --------------------------------------------------- [99999 * 725 ÷ 730] Step 15 ------------------------------------------------- Base Damage 2 = 99314 Step 16 ---------- Base Damage 2 * {730 - (MDef * 51 - MDef^2 ÷ 11) ÷ 10} ÷ 730 Step 17 ------------------------ 99314 * {730 - (1 * 51 - 1^2 ÷ 11) ÷ 10} ÷ 730 Step 18 ------------------------------ 99314 * {730 - (51 - 1 ÷ 11) ÷ 10} ÷ 730 Step 19 --------------------------------------- 99314 * {730 - (49) ÷ 10} ÷ 730 Step 20 ----------------------------------------------------- 99314 * 725 ÷ 730 Step 21 -------------------------------------------------- Final Damage = 98633 The problem is that the formulas completely fall apart once stats start going above 255. In particular Defense values over 300 or so start generating really strange behavior. High Strength + Defense stats lead to massive negative values for instance. While I might be able to modify the formulas to work correctly for my use case, it'd probably be easier just to use a completely new formula. How do people actually develop damage formulas? I was considering opening excel and trying to build the formula that way (mapping Attack Stats vs. Defense Stats for instance) but I was wondering if there's an easier way? While I can't convey the full game mechanics of my game here, might someone be able to suggest a good starting place for building a damage formula? Thanks

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