union - Page 28 - Developer IT

C++: Conceptual problem in designing an intepreter

- by sub

I'm programming an interpreter for an experimental programming language (educational, fun,...) So far, everything went well (Tokenizer & Parser), but I'm getting a huge problem with some of the data structures in the part that actually runs the tokenized and parsed code. My programming language basically has only two types, int and string, and they are represented as C++ strings (std class) and ints Here is a short version of the data structure that I use to pass values around: enum DataType { Null, Int, String } class Symbol { public: string identifier; DataType type; string stringValue; int intValue; } I can't use union because string doesn't allow me to. This structure above is beginning to give me a headache. I have to scatter code like this everywhere in order to make it work, it is beginning to grow unmaintainable: if( mySymbol.type == Int ) { mySymbol.intValue = 1234; } else { mySymbol.stringValue = "abcde"; } I use the Symbol data structure for variables, return values for functions and general representation of values in the programming language. Is there any better way to solve this? I hope so!

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What are the C# equivalent of these C++ structs

- by Otake

typedef union _Value { signed char c; unsigned char b; signed short s; unsigned short w; signed long l; unsigned long u; float f; double *d; char *p; } Value; typedef struct _Field { WORD nFieldId; BYTE bValueType; Value Value; } Field; typedef struct _Packet { WORD nMessageType; WORD nSecurityType; BYTE bExchangeId; BYTE bMarketCenter; int iFieldCount; char cSymbol[20]; Field FieldArr[1]; } Packet; What are the C# equivalent of these C++ structs? I am migrating some code from C++ to C# and having problems to migrate these structures. I had tried a few things but I always ended up having marshalling problems.

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What guarantees are there on the run-time complexity (Big-O) of LINQ methods?

- by tzaman

I've recently started using LINQ quite a bit, and I haven't really seen any mention of run-time complexity for any of the LINQ methods. Obviously, there are many factors at play here, so let's restrict the discussion to the plain IEnumerable LINQ-to-Objects provider. Further, let's assume that any Func passed in as a selector / mutator / etc. is a cheap O(1) operation. It seems obvious that all the single-pass operations (Select, Where, Count, Take/Skip, Any/All, etc.) will be O(n), since they only need to walk the sequence once; although even this is subject to laziness. Things are murkier for the more complex operations; the set-like operators (Union, Distinct, Except, etc.) work using GetHashCode by default (afaik), so it seems reasonable to assume they're using a hash-table internally, making these operations O(n) as well, in general. What about the versions that use an IEqualityComparer? OrderBy would need a sort, so most likely we're looking at O(n log n). What if it's already sorted? How about if I say OrderBy().ThenBy() and provide the same key to both? I could see GroupBy (and Join) using either sorting, or hashing. Which is it? Contains would be O(n) on a List, but O(1) on a HashSet - does LINQ check the underlying container to see if it can speed things up? And the real question - so far, I've been taking it on faith that the operations are performant. However, can I bank on that? STL containers, for example, clearly specify the complexity of every operation. Are there any similar guarantees on LINQ performance in the .NET library specification?

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need help understanding a function.

- by Adam McC

i had previously asked for help writing/improving a function that i need to calculate a premium based on differing values for each month. the premium is split in to 12 months and earned on a percentage for each month. so if the policy start in march and we are in jan we will have earned 10 months worth. so i need to add up the monthly earning to give us the total earned. wach company wil have differeing earnings values for each month. my original code is Here. its ghastly and slow hence the request for help. and i was presented with the following code. the code works but returns stupendously large figures. begin set @begin=datepart(month,@outdate) set @end=datepart(month,@experiencedate) ;with a as ( select *, case calmonth when 'january' then 1 when 'february' then 2 when 'march' then 3 when 'april' then 4 when 'may' then 5 when 'june' then 6 when 'july' then 7 when 'august' then 8 when 'september' then 9 when 'october' then 10 when 'november' then 11 when 'december' then 12 end as Mnth from tblearningpatterns where clientname=@client and earningpattern=@pattern ) , b as ( select earningvalue, Mnth, earningvalue as Ttl from a where Mnth=@begin union all select a.earningvalue, a.Mnth, cast(b.Ttl*a.earningvalue as decimal(15,3)) as Ttl from a inner join b on a.Mnth=b.Mnth+1 where a.Mnth<=@end ) select @earningvalue= Ttl from b inner join ( select max(Mnth) as Mnth from b ) c on b.Mnth=c.Mnth option(maxrecursion 12) SET @earnedpremium = @earningvalue*@premium end can someone please help me out?

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CreationName for SSIS 2008 and adding components programmatically

If you are building SSIS 2008 packages programmatically and adding data flow components, you will probably need to know the creation name of the component to add. I can never find a handy reference when I need one, hence this rather mundane post. See also CreationName for SSS 2005. We start with a very simple snippet for adding a component: // Add the Data Flow Task package.Executables.Add("STOCK:PipelineTask"); // Get the task host wrapper, and the Data Flow task TaskHost taskHost = package.Executables[0] as TaskHost; MainPipe dataFlowTask = (MainPipe)taskHost.InnerObject; // Add OLE-DB source component - ** This is where we need the creation name ** IDTSComponentMetaData90 componentSource = dataFlowTask.ComponentMetaDataCollection.New(); componentSource.Name = "OLEDBSource"; componentSource.ComponentClassID = "DTSAdapter.OLEDBSource.2"; So as you can see the creation name for a OLE-DB Source is DTSAdapter.OLEDBSource.2. CreationName Reference ADO NET Destination Microsoft.SqlServer.Dts.Pipeline.ADONETDestination, Microsoft.SqlServer.ADONETDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 ADO NET Source Microsoft.SqlServer.Dts.Pipeline.DataReaderSourceAdapter, Microsoft.SqlServer.ADONETSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Aggregate DTSTransform.Aggregate.2 Audit DTSTransform.Lineage.2 Cache Transform DTSTransform.Cache.1 Character Map DTSTransform.CharacterMap.2 Checksum Konesans.Dts.Pipeline.ChecksumTransform.ChecksumTransform, Konesans.Dts.Pipeline.ChecksumTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Conditional Split DTSTransform.ConditionalSplit.2 Copy Column DTSTransform.CopyMap.2 Data Conversion DTSTransform.DataConvert.2 Data Mining Model Training MSMDPP.PXPipelineProcessDM.2 Data Mining Query MSMDPP.PXPipelineDMQuery.2 DataReader Destination Microsoft.SqlServer.Dts.Pipeline.DataReaderDestinationAdapter, Microsoft.SqlServer.DataReaderDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Derived Column DTSTransform.DerivedColumn.2 Dimension Processing MSMDPP.PXPipelineProcessDimension.2 Excel Destination DTSAdapter.ExcelDestination.2 Excel Source DTSAdapter.ExcelSource.2 Export Column TxFileExtractor.Extractor.2 Flat File Destination DTSAdapter.FlatFileDestination.2 Flat File Source DTSAdapter.FlatFileSource.2 Fuzzy Grouping DTSTransform.GroupDups.2 Fuzzy Lookup DTSTransform.BestMatch.2 Import Column TxFileInserter.Inserter.2 Lookup DTSTransform.Lookup.2 Merge DTSTransform.Merge.2 Merge Join DTSTransform.MergeJoin.2 Multicast DTSTransform.Multicast.2 OLE DB Command DTSTransform.OLEDBCommand.2 OLE DB Destination DTSAdapter.OLEDBDestination.2 OLE DB Source DTSAdapter.OLEDBSource.2 Partition Processing MSMDPP.PXPipelineProcessPartition.2 Percentage Sampling DTSTransform.PctSampling.2 Performance Counters Source DataCollectorTransform.TxPerfCounters.1 Pivot DTSTransform.Pivot.2 Raw File Destination DTSAdapter.RawDestination.2 Raw File Source DTSAdapter.RawSource.2 Recordset Destination DTSAdapter.RecordsetDestination.2 RegexClean Konesans.Dts.Pipeline.RegexClean.RegexClean, Konesans.Dts.Pipeline.RegexClean, Version=2.0.0.0, Culture=neutral, PublicKeyToken=d1abe77e8a21353e Row Count DTSTransform.RowCount.2 Row Count Plus Konesans.Dts.Pipeline.RowCountPlusTransform.RowCountPlusTransform, Konesans.Dts.Pipeline.RowCountPlusTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Number Konesans.Dts.Pipeline.RowNumberTransform.RowNumberTransform, Konesans.Dts.Pipeline.RowNumberTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Sampling DTSTransform.RowSampling.2 Script Component Microsoft.SqlServer.Dts.Pipeline.ScriptComponentHost, Microsoft.SqlServer.TxScript, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Slowly Changing Dimension DTSTransform.SCD.2 Sort DTSTransform.Sort.2 SQL Server Compact Destination Microsoft.SqlServer.Dts.Pipeline.SqlCEDestinationAdapter, Microsoft.SqlServer.SqlCEDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 SQL Server Destination DTSAdapter.SQLServerDestination.2 Term Extraction DTSTransform.TermExtraction.2 Term Lookup DTSTransform.TermLookup.2 Trash Destination Konesans.Dts.Pipeline.TrashDestination.Trash, Konesans.Dts.Pipeline.TrashDestination, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b8351fe7752642cc TxTopQueries DataCollectorTransform.TxTopQueries.1 Union All DTSTransform.UnionAll.2 Unpivot DTSTransform.UnPivot.2 XML Source Microsoft.SqlServer.Dts.Pipeline.XmlSourceAdapter, Microsoft.SqlServer.XmlSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Here is a simple console program that can be used to enumerate the pipeline components installed on your machine, and dumps out a list of all components like that above. You will need to add a reference to the Microsoft.SQLServer.ManagedDTS assembly. using System; using System.Diagnostics; using Microsoft.SqlServer.Dts.Runtime; public class Program { static void Main(string[] args) { Application application = new Application(); PipelineComponentInfos componentInfos = application.PipelineComponentInfos; foreach (PipelineComponentInfo componentInfo in componentInfos) { Debug.WriteLine(componentInfo.Name + "\t" + componentInfo.CreationName); } Console.Read(); } }

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SQL SERVER – Data Pages in Buffer Pool – Data Stored in Memory Cache

- by pinaldave

This will drop all the clean buffers so we will be able to start again from there. Now, run the following script and check the execution plan of the query. Have you ever wondered what types of data are there in your cache? During SQL Server Trainings, I am usually asked if there is any way one can know how much data in a table is stored in the memory cache? The more detailed question I usually get is if there are multiple indexes on table (and used in a query), were the data of the single table stored multiple times in the memory cache or only for a single time? Here is a query you can run to figure out what kind of data is stored in the cache. USE AdventureWorks GO SELECT COUNT(*) AS cached_pages_count, name AS BaseTableName, IndexName, IndexTypeDesc FROM sys.dm_os_buffer_descriptors AS bd INNER JOIN ( SELECT s_obj.name, s_obj.index_id, s_obj.allocation_unit_id, s_obj.OBJECT_ID, i.name IndexName, i.type_desc IndexTypeDesc FROM ( SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id ,allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3) UNION ALL SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id, allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.partition_id AND au.type = 2 ) AS s_obj LEFT JOIN sys.indexes i ON i.index_id = s_obj.index_id AND i.OBJECT_ID = s_obj.OBJECT_ID ) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id WHERE database_id = DB_ID() GROUP BY name, index_id, IndexName, IndexTypeDesc ORDER BY cached_pages_count DESC; GO Now let us run the query above and observe the output of the same. We can see in the above query that there are four columns. Cached_Pages_Count lists the pages cached in the memory. BaseTableName lists the original base table from which data pages are cached. IndexName lists the name of the index from which pages are cached. IndexTypeDesc lists the type of index. Now, let us do one more experience here. Please note that you should not run this test on a production server as it can extremely reduce the performance of the database. DBCC DROPCLEANBUFFERS This will drop all the clean buffers and we will be able to start again from there. Now run following script and check the execution plan for the same. USE AdventureWorks GO SELECT UnitPrice, ModifiedDate FROM Sales.SalesOrderDetail WHERE SalesOrderDetailID BETWEEN 1 AND 100 GO The execution plans contain the usage of two different indexes. Now, let us run the script that checks the pages cached in SQL Server. It will give us the following output. It is clear from the Resultset that when more than one index is used, datapages related to both or all of the indexes are stored in Memory Cache separately. Let me know what you think of this article. I had a great pleasure while writing this article because I was able to write on this subject, which I like the most. In the next article, we will exactly see what data are cached and those that are not cached, using a few undocumented commands. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: DMV, Pinal Dave, SQL, SQL Authority, SQL Optimization, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL DMV

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Evaluating Solutions to Manage Product Compliance? Don’t Wait Much Longer

- by Evelyn Neumayr

By Kerrie Foy, Director PLM Product Marketing, Oracle Depending on severity, product compliance issues can cause various problems from run-away budgets to business closures. But effective policies and safeguards can create a strong foundation for innovation, productivity, market penetration and competitive advantage. If you’ve been putting off a systematic approach to product compliance, it is time to reconsider that decision. Why now? No matter what industry, companies face a litany of worldwide and regional regulations that require proof of product compliance and environmental friendliness for market access. For example, Restriction of Hazardous Substances (RoHS), a regulation that restricts the use of six dangerous materials used in the manufacture of electronic and electrical equipment, was originally adopted by the European Union in 2003 for implementation in 2006 and has evolved over time through various regional versions for North America, China, Japan, Korea, Norway and Turkey. In addition, the RoHS directive allowed for material exemptions used in Medical Devices, but that exemption ends in 2014. Additional regulations worth watching are the Battery Directive, Waste Electrical and Electronic Equipment (WEEE), and Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) directives. Additional regulations are expected from organizations such as the Food and Drug Administration in the US and similar organizations elsewhere. Meeting compliance requirements and also successfully investing in eco-friendly designs can be a major challenge. It may involve transforming business models, go-to-market strategies, supply networks, quality assurance policies and compliance processes. Without a single source of truth for product data and without proper processes in place, ensuring product compliance burgeons into a crushing task that is cost-prohibitive and overwhelming. However, the risk to consumer goodwill and satisfaction, revenue, business continuity, and market potential is too great not to solve the compliance challenge. Companies are beginning to adapt and thrive by implementing systematic approaches to product compliance that are more than functional bandages, they are revenue-generating engines. Consider working with Oracle to help you address your compliance needs. Many of the world’s most innovative leaders and pioneers are leveraging Oracle’s Agile Product Lifecycle Management (PLM) portfolio of enterprise applications to manage the product value chain, centralize product data, automate processes, and launch more eco-friendly products to market faster. Particularly, the Agile Product Governance & Compliance (PG&C) solution provides out-of-the-box functionality to integrate actionable regulatory information into the enterprise product record from the ideation to the disposal/recycling phase. Agile PG&C is a comprehensive solution that makes product compliance per corporate initiatives and regulations more reliable and efficient. Throughout product lifecycles, use the solution to support full material disclosures, gain rapid visibility into non-compliance issues, efficiently manage declarations with your suppliers, feed compliance data into a corrective action if a product must be changed, and swiftly satisfy audits by showing all due diligence tracked in one solution. Given the compounding regulation and consumer focus on urgent environmental issues, now is the time to act. Implementing an enterprise-wide systematic approach to product compliance is a competitive investment. From the start, Agile PG&C enables companies to confidently design for compliance and sustainability, reduce the cost of compliance, minimize the risk of business interruption, deliver responsible products, and inspire new innovation. Don’t wait any longer! To find out more about Agile Product Governance & Compliance download the data sheet, contact your sales representative, or call Oracle at 1-800-633-0738.

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Praise for Europe's Smart Metering & Conservation Efforts

- by caroline.yu

Recently, a writer at the Home Energy Team praised the UK for its efforts towards smart metering and energy conservation, with an article entitled UK Blazing A Trail With Smart Metering At Home? The article highlighted that the Department of Energy and Climate Change has announced that smart metering will be introduced in the next decade and that all UK households will have smart meters by the year 2020. In fact, the UK is not the only country striving to achieve carbon reduction targets, as many of its European counterparts have begun to take positive steps towards tackling the issue of energy conservation by implementing innovative new metering and billing technologies as well as promoting alternative energy solutions, such as wind and solar power. Since 1997, the states of the European Union, including France, Germany and Spain, have been working towards achieving a target of 12 percent renewable energy electricity by 2010. Germany in particular has made a significant achievement so far, having surpassed the target early in 2007. This success is largely due to the German Renewable Energy Act (EEG), which promoted the use of renewable energy. Recently, analysis from the European Wind Energy Association (EWEA) found that 21 of the EU Member States are meeting or exceeding their national target to achieve 20 percent renewable energy by 2020. However, six states - Belgium, Italy, Luxembourg, Malta, Bulgaria and Denmark - say they will not manage to reach their target through domestic action alone. Bulgaria and Denmark believe that with fresh national initiatives they could meet or exceed their targets, but others, including Italy, may need to import renewable energy from neighboring non-EU countries. Top achievers, according to the EWEA report, are Spain, which believes its renewable energy will reach 22.7 percent by 2020, as well as Germany, Estonia, Greece, Ireland, Poland, Slovakia and Sweden, who will all exceed their targets. "Importantly, the way that this renewable energy is controlled and distributed must be addressed in order to ensure its success," said Bastian Fischer, vice president and general manager EMEA, Oracle Utilities. "A smart gird infrastructure can enable utilities to deal with load distribution in times of increased need and ensure power is always available from these means. A smart grid also underpins the success of metering and billing technologies, such as smart metering, and allows utilities to deal with increased usage data and provide accurate billing." Outside of Europe, Australia has made significant steps towards improving water conservation. The Australian Department of Sustainability and Environment took some of the recent advancements made in the energy sector, including new metering and billing solutions, and applied them to the water industry, enhancing customer service and reducing consumption as a result. The adoption of smart metering in Europe is mainly driven by regulation, but significant technological improvements are being made the world over to change the way we use all kinds of energy. However, the developing markets are lagging behind. One of the primary reasons for this is the lack of infrastructure in place to use as a foundation for setting up energy-saving solutions, which is slowing the adoption of technologies such as smart meters. However, these countries do benefit from fewer outdated infrastructure and legacy systems, which is often cited by others as a difficult barrier to deploying new solutions. As a result, some countries should find new technologies easier to implement and adapt to in the immediate future, without this roadblock.

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Oracle OpenWorld 2012: The Best Just Gets Better

- by kellsey.ruppel

For almost 30 years, Oracle OpenWorld has been the world's premier learning event for Oracle customers, developers, and partners. With more than 2,000 sessions providing best practices; demos; tips and tricks; and product insight from Oracle, customers, partners, and industry experts, Oracle OpenWorld provides more educational and networking opportunities than any other event in the world. 2011 Facts Attendees from 117 Countries Used Filtered Tap Water to Eliminate 22 Tons of Plastic Bottles Diverted Enough Trash to Fill 37 Dump Trucks 45,000+ Total Registered Attendees Oracle OpenWorld 2012: The Best Just Gets Better What's New? What's Different? This year Oracle OpenWorld will include the Executive Edge @ OpenWorld (replacing Leaders Circle), the Customer Experience Summit @ OpenWorld, JavaOne, MySQL Connect, and the expanded Oracle PartnerNetwork Exchange @ OpenWorld. More than 50,000 customers and partners will attend OpenWorld to see Oracle's newest hardware and software products at work, and learn more about our server and storage, database, middleware, industry, and applications solutions. New This Year: The Executive Edge @ Oracle OpenWorld (Oct 1 - 2) New at Oracle OpenWorld this year, the Executive Edge @ OpenWorld (replacing Leaders Circle) will bring together customer, partner and Oracle executives for two days of keynote presentations, summits targeted to customer industries and organizational roles, roundtable discussions, and great new networking opportunities. The Customer Experience Revolution Is Here!Customer Experience Summit @ Oracle OpenWorld (Oct 3 - 5) This dynamic new program offers more than 60 keynotes, roundtables and networking sessions exploring trends, innovations and best practices to help companies succeed with a customer experience-driven business strategy. All Things Java -- JavaOne (Sep 30 - Oct 4) JavaOne is the world's most important event for the Java developer community. Technical sessions cover topics that span the breadth of the Java universe, with keynotes from the foremost Java visionaries and expert-led hands-on learning opportunities. Are you innovating with Oracle Fusion Middleware? If you are, then you need to know that the Call for Nominations for the 2012 Oracle Fusion Middleware Innovation Awards is open now through July 17, 2012. Jointly sponsored by Oracle, AUSOUG, IOUG, OAUG, ODTUG, QUEST, and UKOUG, the Oracle Fusion Middleware Innovation Awards honor organizations creatively using Oracle Fusion Middleware to deliver unique value to their enterprise. Winning customers and partners will be hosted at Oracle OpenWorld 2012, where they can connect with Oracle executives, network with peers, and be featured in an upcoming edition of Oracle Magazine. Be sure to submit your WebCenter use case today! Oracle Music Festival his year, the first-ever Oracle Music Festival will debut, running from September 30 to October 4. In the tradition of great live music events like Coachella and SXSW, the streets of San Francisco—from 7:00 p.m. to 1:00 a.m. for five nights-into-days—will vibrate with the music of some of today’s hottest name acts, emerging and local bands, and scratching DJs. Outdoor venues and clubs near Moscone Center and the Zone (including 111 Minna, DNA, Mezzanine, Roe, Ruby Skye, Slim’s, the Taylor Street Café, Temple, Union Square, and Yerba Buena Gardens) will showcase acts that range from reggae to rock, punk to ska, R&B to country, indie to honky-tonk. After a full day of sessions and networking, you'll be primed for some late-night relaxation and rocking out at one or more of these sets. Please note that with awesome acts, thousands of music devotees, and a limited number of venues each night, access to Festival events is on a first-come, first-served basis. Join us at the Oracle Music Festival--it's going to be epic! Save $500 on Registration with Early Bird Pricing Early Bird pricing ends July 13! Save up to $500 on registration fees by registering by Friday. Will you be attending Oracle OpenWorld 2012? We hope to see you there! Be sure to follow @oraclewebcenter on Twitter for more information and use hashtags #webcenter and #oow!

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Securing Flexfield Value Sets in EBS 12.2

- by Sara Woodhull

Release 12.2 includes a new feature: flexfield value set security. This new feature gives you additional options for ensuring that different administrators have non-overlapping responsibilities, which in turn provides checks and balances for sensitive activities. Separation of Duties (SoD) is one of the key concepts of internal controls and is a requirement for many regulations including: Sarbanes-Oxley (SOX) Act Health Insurance Portability and Accountability Act (HIPAA) European Union Data Protection Directive. Its primary intent is to put barriers in place to prevent fraud or theft by an individual acting alone. Implementing Separation of Duties requires minimizing the possibility that users could modify data across application functions where the users should not normally have access. For flexfields and report parameters in Oracle E-Business Suite, values in value sets can affect functionality such as the rollup of accounting data, job grades used at a company, and so on. Controlling access to the creation or modification of value set values can be an important piece of implementing Separation of Duties in an organization. New Flexfield Value Set Security feature Flexfield value set security allows system administrators to restrict users from viewing, adding or updating values in specific value sets. Value set security enables role-based separation of duties for key flexfields, descriptive flexfields, and report parameters. For example, you can set up value set security such that certain users can view or insert values for any value set used by the Accounting Flexfield but no other value sets, while other users can view and update values for value sets used for any flexfields in Oracle HRMS. You can also segregate access by Operating Unit as well as by role or responsibility.Value set security uses a combination of data security and role-based access control in Oracle User Management. Flexfield value set security provides a level of security that is different from the previously-existing and similarly-named features in Oracle E-Business Suite: Function security controls whether a user has access to a specific page or form, as well as what operations the user can do in that screen. Flexfield value security controls what values a user can enter into a flexfield segment or report parameter (by responsibility) during routine data entry in many transaction screens across Oracle E-Business Suite. Flexfield value set security (this feature, new in Release 12.2) controls who can view, insert, or update values for a particular value set (by flexfield, report, or value set) in the Segment Values form (FNDFFMSV). The effect of flexfield value set security is that a user of the Segment Values form will only be able to view those value sets for which the user has been granted access. Further, the user will be able to insert or update/disable values in that value set if the user has been granted privileges to do so. Flexfield value set security affects independent, dependent, and certain table-validated value sets for flexfields and report parameters. Initial State of the Feature upon Upgrade Because this is a new security feature, it is turned on by default. When you initially install or upgrade to Release 12.2.2, no users are allowed to view, insert or update any value set values (users may even think that their values are missing or invalid because they cannot see the values). You must explicitly set up access for specific users by enabling appropriate grants and roles for those users.We recommend using flexfield value set security as part of a comprehensive Separation of Duties strategy. However, if you choose not to implement flexfield value set security upon upgrading to or installing Release 12.2, you can enable backwards compatibility--users can access any value sets if they have access to the Values form--after you upgrade. The feature does not affect day-to-day transactions that use flexfields. However, you must either set up specific grants and roles or enable backwards compatibility before users can create new values or update or disable existing values. For more information, see: Release 12.2 Flexfield Value Set Security Documentation Update for Patch 17305947:R12.FND.C (Document 1589204.1) R12.2 TOI: Implement and Use Application Object Library (AOL) - Flexfields Security and Separation of Duties for Value Sets (recorded training)

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Some Original Expressions

- by Phil Factor

Guest Editorial for Simple-Talk newsletterIn a guest editorial for the Simple-Talk Newsletter, Phil Factor wonders if we are still likely to find some more novel and unexpected ways of using the newer features of Transact SQL: or maybe in some features that have always been there! There can be a great deal of fun to be had in trying out recent features of SQL Expressions to see if they provide new functionality. It is surprisingly rare to find things that couldn’t be done before, but in a different and more cumbersome way; but it is great to experiment or to read of someone else making that discovery. One such recent feature is the ‘table value constructor’, or ‘VALUES constructor’, that managed to get into SQL Server 2008 from Standard SQL. This allows you to create derived tables of up to 1000 rows neatly within select statements that consist of lists of row values. E.g. SELECT Old_Welsh, number FROM (VALUES ('Un',1),('Dou',2),('Tri',3),('Petuar',4),('Pimp',5),('Chwech',6),('Seith',7),('Wyth',8),('Nau',9),('Dec',10)) AS WelshWordsToTen (Old_Welsh, number) These values can be expressions that return single values, including, surprisingly, subqueries. You can use this device to create views, or in the USING clause of a MERGE statement. Joe Celko covered this here and here. It can become extraordinarily handy to use once one gets into the way of thinking in these terms, and I’ve rewritten a lot of routines to use the constructor, but the old way of using UNION can be used the same way, but is a little slower and more long-winded. The use of scalar SQL subqueries as an expression in a VALUES constructor, and then applied to a MERGE, has got me thinking. It looks very clever, but what use could one put it to? I haven’t seen anything yet that couldn’t be done almost as simply in SQL Server 2000, but I’m hopeful that someone will come up with a way of solving a tricky problem, just in the same way that a freak of the XML syntax forever made the in-line production of delimited lists from an expression easy, or that a weird XML pirouette could do an elegant pivot-table rotation. It is in this sort of experimentation where the community of users can make a real contribution. The dissemination of techniques such as the Number, or Tally table, or the unconventional ways that the UPDATE statement can be used, has been rapid due to articles and blogs. However, there is plenty to be done to explore some of the less obvious features of Transact SQL. Even some of the features introduced into SQL Server 2000 are hardly well-known. Certain operations on data are still awkward to perform in Transact SQL, but we mustn’t, I think, be too ready to state that certain things can only be done in the application layer, or using a CLR routine. With the vast array of features in the product, and with the tools that surround it, I feel that there is generally a way of getting tricky things done. Or should we just stick to our lasts and push anything difficult out into procedural code? I’d love to know your views.

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Lessons Building KeyRef (a .NET developer learning Rails)

- by Liam McLennan

Just because I like to build things, and I like to learn, I have been working on a keyboard shortcut reference site. I am using this as an opportunity to improve my ruby and rails skills. The first few days were frustrating. Perhaps the learning curve of all the fun new toys was a bit excessive. Finally tonight things have really started to come together. I still don’t understand the rails built-in testing support but I will get there. Interesting Things I Learned Tonight RubyMine IDE Tonight I switched to RubyMine instead of my usual Notepad++. I suspect RubyMine is a powerful tool if you know how to use it – but I don’t. At the moment it gives me errors about some gems not being activated. This is another one of those things that I will get to. I have also noticed that the editor functions significantly differently to the editors I am used to. For example, in visual studio and notepad++ if you place the cursor at the start of a line and press left arrow the cursor is sent to the end of the previous line. In RubyMine nothing happens. Haml Haml is my favourite view engine. For my .NET work I have been using its non-union Mexican CLR equivalent – nHaml. Multiple CSS Classes To define a div with more than one css class haml lets you chain them together with a ‘.’, such as: .span-6.search_result contents of the div go here Indent Consistency I also learnt tonight that both haml and nhaml complain if you are not consistent about indenting. As a consequence of the move from notepad++ to RubyMine my haml views ended up with some tab indenting and some space indenting. For the view to render all of the indents within a view must be consistent. Sorting Arrays I guessed that ruby would be able to sort an array alphabetically by a property of the elements so my first attempt was: Application.all.sort {|app| app.name} which does not work. You have to supply a comparer (much like .NET). The correct sort is: Application.all.sort {|a,b| a.name.downcase <=> b.name.downcase} MongoMapper Find by Id Since document databases are just fancy key-value stores it is essential to be able to easily search for a document by its id. This functionality is so intrinsic that it seems that the MongoMapper author did not bother to document it. To search by id simply pass the id to the find method: Application.find(‘4c19e8facfbfb01794000002’) Rails And CoffeeScript I am a big fan of CoffeeScript so integrating it into this application is high on my priorities. My first thought was to copy Dr Nic’s strategy. Unfortunately, I did not get past step 1. Install Node.js. I am doing my development on Windows and node is unix only. I looked around for a solution but eventually had to concede defeat… for now. Quicksearch The front page of the application I am building displays a list of applications. When the user types in the search box I want to reduce the list of applications to match their search. A quick googlebing turned up quicksearch, a jquery plugin. You simply tell quicksearch where to get its input (the search textbox) and the list of items to filter (the divs containing the names of applications) and it just works. Here is the code: $('#app_search').quicksearch('.search_result'); Summary I have had a productive evening. The app now displays a list of applications, allows them to be sorted and links through to an application page when an application is selected. Next on the list is to display the set of keyboard shortcuts for an application.

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Working with Analytic Workflow Manager (AWM) - Part 8 Cube Metadata Analysis

- by Mohan Ramanuja

CUBE SIZEselect dbal.owner||'.'||substr(dbal.table_name,4) awname, sum(dbas.bytes)/1024/1024 as mb, dbas.tablespace_name from dba_lobs dbal, dba_segments dbas where dbal.column_name = 'AWLOB' and dbal.segment_name = dbas.segment_name group by dbal.owner, dbal.table_name, dbas.tablespace_name order by dbal.owner, dbal.table_name SESSION RESOURCES select vses.username||':'||vsst.sid username, vstt.name, max(vsst.value) valuefrom v$sesstat vsst, v$statname vstt, v$session vseswhere vstt.statistic# = vsst.statistic# and vsst.sid = vses.sid andVSES.USERNAME LIKE ('ATTRIBDW_OWN') ANDvstt.name in ('session pga memory', 'session pga memory max', 'session uga memory','session uga memory max', 'session cursor cache count', 'session cursor cache hits', 'session stored procedure space', 'opened cursors current', 'opened cursors cumulative') andvses.username is not null group by vsst.sid, vses.username, vstt.name order by vsst.sid, vses.username, vstt.name OLAP PGA USE select 'OLAP Pages Occupying: '|| round((((select sum(nvl(pool_size,1)) from v$aw_calc)) / (select value from v$pgastat where name = 'total PGA inuse')),2)*100||'%' info from dual union select 'Total PGA Inuse Size: '||value/1024||' KB' info from v$pgastat where name = 'total PGA inuse' union select 'Total OLAP Page Size: '|| round(sum(nvl(pool_size,1))/1024,0)||' KB' info from v$aw_calc order by info desc OLAP PGA USAGE PER USER select vs.username, vs.sid, round(pga_used_mem/1024/1024,2)||' MB' pga_used, round(pga_max_mem/1024/1024,2)||' MB' pga_max, round(pool_size/1024/1024,2)||' MB' olap_pp, round(100*(pool_hits-pool_misses)/pool_hits,2) || '%' olap_ratio from v$process vp, v$session vs, v$aw_calc va where session_id=vs.sid and addr = paddr CUBE LOADING SCRIPT REM The 'set define off' statement is needed only if running this script through SQLPlus.REM If you are using another tool to run this script, the line below may be commented out.set define offBEGIN DBMS_CUBE.BUILD( 'VALIDATE ATTRIBDW_OWN.CURRENCY USING ( LOAD NO SYNCH, COMPILE SORT ), ATTRIBDW_OWN.ACCOUNT USING ( LOAD NO SYNCH, COMPILE SORT ), ATTRIBDW_OWN.DATEDIM USING ( LOAD NO SYNCH, COMPILE SORT ), ATTRIBDW_OWN.CUSIP USING ( LOAD NO SYNCH, COMPILE SORT ), ATTRIBDW_OWN.ACCOUNTRETURN', 'CCCCC', -- refresh methodfalse, -- refresh after errors 0, -- parallelismtrue, -- atomic refreshtrue, -- automatic orderfalse); -- add dimensionsEND;/BEGIN DBMS_CUBE.BUILD( ' ATTRIBDW_OWN.CURRENCY USING ( LOAD NO SYNCH, COMPILE SORT ), ATTRIBDW_OWN.ACCOUNT USING ( LOAD NO SYNCH, COMPILE SORT ), ATTRIBDW_OWN.DATEDIM USING ( LOAD NO SYNCH, COMPILE SORT ), ATTRIBDW_OWN.CUSIP USING ( LOAD NO SYNCH, COMPILE SORT ), ATTRIBDW_OWN.ACCOUNTRETURN', 'CCCCC', -- refresh methodfalse, -- refresh after errors 0, -- parallelismtrue, -- atomic refreshtrue, -- automatic orderfalse); -- add dimensionsEND;/ VISUALIZATION OBJECT - AW$ATTRIBDW_OWN CREATE TABLE "ATTRIBDW_OWN"."AW$ATTRIBDW_OWN" ( "PS#" NUMBER(10,0), "GEN#" NUMBER(10,0), "EXTNUM" NUMBER(8,0), "AWLOB" BLOB, "OBJNAME" VARCHAR2(256 BYTE), "PARTNAME" VARCHAR2(256 BYTE) ) PCTFREE 10 PCTUSED 40 INITRANS 4 MAXTRANS 255 STORAGE ( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT ) TABLESPACE "ATTRIBDW_DATA" LOB ( "AWLOB" ) STORE AS SECUREFILE ( TABLESPACE "ATTRIBDW_DATA" DISABLE STORAGE IN ROW CHUNK 8192 RETENTION MIN 1 CACHE NOCOMPRESS KEEP_DUPLICATES STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) ) PARTITION BY RANGE ( "GEN#" ) SUBPARTITION BY HASH ( "PS#", "EXTNUM" ) SUBPARTITIONS 8 ( PARTITION "PTN1" VALUES LESS THAN (1) PCTFREE 10 PCTUSED 40 INITRANS 4 MAXTRANS 255 STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "ATTRIBDW_DATA" LOB ("AWLOB") STORE AS SECUREFILE ( TABLESPACE "ATTRIBDW_DATA" DISABLE STORAGE IN ROW CHUNK 8192 RETENTION MIN 1 CACHE READS LOGGING NOCOMPRESS KEEP_DUPLICATES STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)) ( SUBPARTITION "SYS_SUBP661" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP662" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP663" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP664" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP665" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP666" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP667" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP668" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" ) , PARTITION "PTNN" VALUES LESS THAN (MAXVALUE) PCTFREE 10 PCTUSED 40 INITRANS 4 MAXTRANS 255 STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "ATTRIBDW_DATA" LOB ("AWLOB") STORE AS SECUREFILE ( TABLESPACE "ATTRIBDW_DATA" DISABLE STORAGE IN ROW CHUNK 8192 RETENTION MIN 1 CACHE NOCOMPRESS KEEP_DUPLICATES STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)) ( SUBPARTITION "SYS_SUBP669" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP670" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP671" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP672" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP673" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP674" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP675" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_SUBP676" LOB ("AWLOB") STORE AS ( TABLESPACE "ATTRIBDW_DATA" ) TABLESPACE "ATTRIBDW_DATA" ) ) ;CREATE UNIQUE INDEX "ATTRIBDW_OWN"."ATTRIBDW_OWN_I$" ON "ATTRIBDW_OWN"."AW$ATTRIBDW_OWN" ( "PS#", "GEN#", "EXTNUM" ) PCTFREE 10 INITRANS 4 MAXTRANS 255 COMPUTE STATISTICS STORAGE ( INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT ) TABLESPACE "ATTRIBDW_DATA" ;CREATE UNIQUE INDEX "ATTRIBDW_OWN"."SYS_IL0000406980C00004$$" ON "ATTRIBDW_OWN"."AW$ATTRIBDW_OWN" ( PCTFREE 10 INITRANS 1 MAXTRANS 255 STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "ATTRIBDW_DATA" LOCAL (PARTITION "SYS_IL_P711" PCTFREE 10 INITRANS 1 MAXTRANS 255 STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) ( SUBPARTITION "SYS_IL_SUBP695" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP696" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP697" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP698" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP699" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP700" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP701" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP702" TABLESPACE "ATTRIBDW_DATA" ) , PARTITION "SYS_IL_P712" PCTFREE 10 INITRANS 1 MAXTRANS 255 STORAGE( BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) ( SUBPARTITION "SYS_IL_SUBP703" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP704" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP705" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP706" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP707" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP708" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP709" TABLESPACE "ATTRIBDW_DATA" , SUBPARTITION "SYS_IL_SUBP710" TABLESPACE "ATTRIBDW_DATA" ) ) PARALLEL (DEGREE 0 INSTANCES 0) ; CUBE BUILD LOG CREATE TABLE "ATTRIBDW_OWN"."CUBE_BUILD_LOG" ( "BUILD_ID" NUMBER, "SLAVE_NUMBER" NUMBER, "STATUS" VARCHAR2(10 BYTE), "COMMAND" VARCHAR2(25 BYTE), "BUILD_OBJECT" VARCHAR2(30 BYTE), "BUILD_OBJECT_TYPE" VARCHAR2(10 BYTE), "OUTPUT" CLOB, "AW" VARCHAR2(30 BYTE), "OWNER" VARCHAR2(30 BYTE), "PARTITION" VARCHAR2(50 BYTE), "SCHEDULER_JOB" VARCHAR2(100 BYTE), "TIME" TIMESTAMP (6)WITH TIME ZONE, "BUILD_SCRIPT" CLOB, "BUILD_TYPE" VARCHAR2(22 BYTE), "COMMAND_DEPTH" NUMBER(2,0), "BUILD_SUB_OBJECT" VARCHAR2(30 BYTE), "REFRESH_METHOD" VARCHAR2(1 BYTE), "SEQ_NUMBER" NUMBER, "COMMAND_NUMBER" NUMBER, "IN_BRANCH" NUMBER(1,0), "COMMAND_STATUS_NUMBER" NUMBER, "BUILD_NAME" VARCHAR2(100 BYTE) ) SEGMENT CREATION IMMEDIATE PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 NOCOMPRESS LOGGING STORAGE ( INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT ) TABLESPACE "ATTRIBDW_DATA" LOB ( "OUTPUT" ) STORE AS BASICFILE ( TABLESPACE "ATTRIBDW_DATA" ENABLE STORAGE IN ROW CHUNK 8192 RETENTION NOCACHE LOGGING STORAGE(INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) ) LOB ( "BUILD_SCRIPT" ) STORE AS BASICFILE ( TABLESPACE "ATTRIBDW_DATA" ENABLE STORAGE IN ROW CHUNK 8192 RETENTION NOCACHE LOGGING STORAGE(INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) ) ;CREATE UNIQUE INDEX "ATTRIBDW_OWN"."SYS_IL0000407294C00013$$" ON "ATTRIBDW_OWN"."CUBE_BUILD_LOG" ( PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE(INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "ATTRIBDW_DATA" PARALLEL (DEGREE 0 INSTANCES 0) ;CREATE UNIQUE INDEX "ATTRIBDW_OWN"."SYS_IL0000407294C00007$$" ON "ATTRIBDW_OWN"."CUBE_BUILD_LOG" ( PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE(INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "ATTRIBDW_DATA" PARALLEL (DEGREE 0 INSTANCES 0) ; CUBE DIMENSION COMPILE CREATE TABLE "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE" ( "ID" NUMBER, "SEQ_NUMBER" NUMBER, "ERROR#" NUMBER(8,0) NOT NULL ENABLE, "ERROR_MESSAGE" VARCHAR2(2000 BYTE), "DIMENSION" VARCHAR2(100 BYTE), "DIMENSION_MEMBER" VARCHAR2(100 BYTE), "MEMBER_ANCESTOR" VARCHAR2(100 BYTE), "HIERARCHY1" VARCHAR2(100 BYTE), "HIERARCHY2" VARCHAR2(100 BYTE), "ERROR_CONTEXT" CLOB ) SEGMENT CREATION DEFERRED PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 NOCOMPRESS LOGGING TABLESPACE "ATTRIBDW_DATA" LOB ( "ERROR_CONTEXT" ) STORE AS BASICFILE ( TABLESPACE "ATTRIBDW_DATA" ENABLE STORAGE IN ROW CHUNK 8192 RETENTION NOCACHE LOGGING ) ;COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."ID"IS 'Current operation ID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."SEQ_NUMBER"IS 'Cube build log sequence number'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."ERROR#"IS 'Error number being reported'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."ERROR_MESSAGE"IS 'Error text being reported'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."DIMENSION"IS 'Name of dimension being compiled'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."DIMENSION_MEMBER"IS 'Problem dimension member'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."MEMBER_ANCESTOR"IS 'Problem dimension member''s parent'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."HIERARCHY1"IS 'First hierarchy involved in error'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."HIERARCHY2"IS 'Second hierarchy involved in error'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"."ERROR_CONTEXT"IS 'Extra information for error'; COMMENT ON TABLE "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE"IS 'Cube dimension compile log';CREATE UNIQUE INDEX "ATTRIBDW_OWN"."SYS_IL0000407307C00010$$" ON "ATTRIBDW_OWN"."CUBE_DIMENSION_COMPILE" ( PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE( INITIAL 1048576 NEXT 1048576 MAXEXTENTS 2147483645) TABLESPACE "ATTRIBDW_DATA" PARALLEL (DEGREE 0 INSTANCES 0) ; CUBE OPERATING LOG CREATE TABLE "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG" ( "INST_ID" NUMBER NOT NULL ENABLE, "SID" NUMBER NOT NULL ENABLE, "SERIAL#" NUMBER NOT NULL ENABLE, "USER#" NUMBER NOT NULL ENABLE, "SQL_ID" VARCHAR2(13 BYTE), "JOB" NUMBER, "ID" NUMBER, "PARENT_ID" NUMBER, "SEQ_NUMBER" NUMBER, "TIME" TIMESTAMP (6)WITH TIME ZONE NOT NULL ENABLE, "LOG_LEVEL" NUMBER(4,0) NOT NULL ENABLE, "DEPTH" NUMBER(4,0), "OPERATION" VARCHAR2(15 BYTE) NOT NULL ENABLE, "SUBOPERATION" VARCHAR2(20 BYTE), "STATUS" VARCHAR2(10 BYTE) NOT NULL ENABLE, "NAME" VARCHAR2(20 BYTE) NOT NULL ENABLE, "VALUE" VARCHAR2(4000 BYTE), "DETAILS" CLOB ) SEGMENT CREATION IMMEDIATE PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 NOCOMPRESS LOGGING STORAGE ( INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT ) TABLESPACE "ATTRIBDW_DATA" LOB ( "DETAILS" ) STORE AS BASICFILE ( TABLESPACE "ATTRIBDW_DATA" ENABLE STORAGE IN ROW CHUNK 8192 RETENTION NOCACHE LOGGING STORAGE(INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) ) ;COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."INST_ID"IS 'Instance ID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."SID"IS 'Session ID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."SERIAL#"IS 'Session serial#'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."USER#"IS 'User ID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."SQL_ID"IS 'Executing SQL statement ID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."JOB"IS 'Identifier of job'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."ID"IS 'Current operation ID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."PARENT_ID"IS 'Parent operation ID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."SEQ_NUMBER"IS 'Cube build log sequence number'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."TIME"IS 'Time of record'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."LOG_LEVEL"IS 'Verbosity level of record'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."DEPTH"IS 'Nesting depth of record'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."OPERATION"IS 'Current operation'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."SUBOPERATION"IS 'Current suboperation'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."STATUS"IS 'Status of current operation'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."NAME"IS 'Name of record'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."VALUE"IS 'Value of record'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"."DETAILS"IS 'Extra information for record'; COMMENT ON TABLE "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG"IS 'Cube operations log';CREATE UNIQUE INDEX "ATTRIBDW_OWN"."SYS_IL0000407301C00018$$" ON "ATTRIBDW_OWN"."CUBE_OPERATIONS_LOG" ( PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE(INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "ATTRIBDW_DATA" PARALLEL (DEGREE 0 INSTANCES 0) ; CUBE REJECTED RECORDS CREATE TABLE "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS" ( "ID" NUMBER, "SEQ_NUMBER" NUMBER, "ERROR#" NUMBER(8,0) NOT NULL ENABLE, "ERROR_MESSAGE" VARCHAR2(2000 BYTE), "RECORD#" NUMBER(38,0), "SOURCE_ROW" ROWID, "REJECTED_RECORD" CLOB ) SEGMENT CREATION IMMEDIATE PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 NOCOMPRESS LOGGING STORAGE ( INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT ) TABLESPACE "ATTRIBDW_DATA" LOB ( "REJECTED_RECORD" ) STORE AS BASICFILE ( TABLESPACE "ATTRIBDW_DATA" ENABLE STORAGE IN ROW CHUNK 8192 RETENTION NOCACHE LOGGING STORAGE(INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) ) ;COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS"."ID"IS 'Current operation ID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS"."SEQ_NUMBER"IS 'Cube build log sequence number'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS"."ERROR#"IS 'Error number being reported'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS"."ERROR_MESSAGE"IS 'Error text being reported'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS"."RECORD#"IS 'Rejected record number'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS"."SOURCE_ROW"IS 'Rejected record''s ROWID'; COMMENT ON COLUMN "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS"."REJECTED_RECORD"IS 'Rejected record copy'; COMMENT ON TABLE "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS"IS 'Cube rejected records log';CREATE UNIQUE INDEX "ATTRIBDW_OWN"."SYS_IL0000407304C00007$$" ON "ATTRIBDW_OWN"."CUBE_REJECTED_RECORDS" ( PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE(INITIAL 1048576 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT) TABLESPACE "ATTRIBDW_DATA" PARALLEL (DEGREE 0 INSTANCES 0) ;

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T-SQL (SCD) Slowly Changing Dimension Type 2 using a merge statement

- by AtulThakor

Working on stored procedure recently which loads records into a data warehouse I found that the existing record was being expired using an update statement followed by an insert to add the new active record. Playing around with the merge statement you can actually expire the current record and insert a new record within one clean statement. This is how the statement works, we do the normal merge statement to insert a record when there is no match, if we match the record we update the existing record by expiring it and deactivating. At the end of the merge statement we use the output statement to output the staging values for the update, we wrap the whole merge statement within an insert statement and add new rows for the records which we inserted. I’ve added the full script at the bottom so you can paste it and play around. 1: INSERT INTO ExampleFactUpdate 2: (PolicyID, 3: Status) 4: SELECT -- these columns are returned from the output statement 5: PolicyID, 6: Status 7: FROM 8: ( 9: -- merge statement on unique id in this case Policy_ID 10: MERGE dbo.ExampleFactUpdate dp 11: USING dbo.ExampleStag s 12: ON dp.PolicyID = s.PolicyID 13: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 14: INSERT (PolicyID,Status) 15: VALUES (s.PolicyID, s.Status) 16: WHEN MATCHED --if it already exists 17: AND ExpiryDate IS NULL -- and the Expiry Date is null 18: THEN 19: UPDATE 20: SET 21: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 22: dp.Active = 0 -- and deactivate the existing record 23: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 24: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 25: WHERE -- we'll filter using a where clause 26: MergeAction = 'Update'; -- here Complete source for example 1: if OBJECT_ID('ExampleFactUpdate') > 0 2: drop table ExampleFactUpdate 3: 4: Create Table ExampleFactUpdate( 5: ID int identity(1,1), 3: go 6: PolicyID varchar(100), 7: Status varchar(100), 8: EffectiveDate datetime default getdate(), 9: ExpiryDate datetime, 10: Active bit default 1 11: ) 12: 13: 14: insert into ExampleFactUpdate( 15: PolicyID, 16: Status) 17: select 18: 1, 19: 'Live' 20: 21: /*Create Staging Table*/ 22: if OBJECT_ID('ExampleStag') > 0 23: drop table ExampleStag 24: go 25: 26: /*Create example fact table */ 27: Create Table ExampleStag( 28: PolicyID varchar(100), 29: Status varchar(100)) 30: 31: --add some data 32: insert into ExampleStag( 33: PolicyID, 34: Status) 35: select 36: 1, 37: 'Lapsed' 38: union all 39: select 40: 2, 41: 'Quote' 42: 43: select * 44: from ExampleFactUpdate 45: 46: select * 47: from ExampleStag 48: 49: 50: INSERT INTO ExampleFactUpdate 51: (PolicyID, 52: Status) 53: SELECT -- these columns are returned from the output statement 54: PolicyID, 55: Status 56: FROM 57: ( 58: -- merge statement on unique id in this case Policy_ID 59: MERGE dbo.ExampleFactUpdate dp 60: USING dbo.ExampleStag s 61: ON dp.PolicyID = s.PolicyID 62: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 63: INSERT (PolicyID,Status) 64: VALUES (s.PolicyID, s.Status) 65: WHEN MATCHED --if it already exists 66: AND ExpiryDate IS NULL -- and the Expiry Date is null 67: THEN 68: UPDATE 69: SET 70: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 71: dp.Active = 0 -- and deactivate the existing record 72: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 73: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 74: WHERE -- we'll filter using a where clause 75: MergeAction = 'Update'; -- here 76: 77: 78: select * 79: from ExampleFactUpdate 80:

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Using Recursive SQL and XML trick to PIVOT(OK, concat) a "Document Folder Structure Relationship" table, works like MySQL GROUP_CONCAT

- by Kevin Shyr

I'm in the process of building out a Data Warehouse and encountered this issue along the way.In the environment, there is a table that stores all the folders with the individual level. For example, if a document is created here:{App Path}\Level 1\Level 2\Level 3\{document}, then the DocumentFolder table would look like this:IDID_ParentFolderName1NULLLevel 121Level 232Level 3To my understanding, the table was built so that:Each proposal can have multiple documents stored at various locationsDifferent users working on the proposal will have different access level to the folder; if one user is assigned access to a folder level, she/he can see all the sub folders and their content.Now we understand from an application point of view why this table was built this way. But you can quickly see the pain this causes the report writer to show a document link on the report. I wasn't surprised to find the report query had 5 self outer joins, which is at the mercy of nobody creating a document that is buried 6 levels deep, and not to mention the degradation in performance.With the help of 2 posts (at the end of this post), I was able to come up with this solution:Use recursive SQL to build out the folder pathUse SQL XML trick to concat the strings.Code (a reminder, I built this code in a stored procedure. If you copy the syntax into a simple query window and execute, you'll get an incorrect syntax error) Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} -- Get all folders and group them by the original DocumentFolderID in PTSDocument table;WITH DocFoldersByDocFolderID(PTSDocumentFolderID_Original, PTSDocumentFolderID_Parent, sDocumentFolder, nLevel)AS (-- first member SELECT 'PTSDocumentFolderID_Original' = d1.PTSDocumentFolderID , PTSDocumentFolderID_Parent , 'sDocumentFolder' = sName , 'nLevel' = CONVERT(INT, 1000000) FROM (SELECT DISTINCT PTSDocumentFolderID FROM dbo.PTSDocument_DY WITH(READPAST) ) AS d1 INNER JOIN dbo.PTSDocumentFolder_DY AS df1 WITH(READPAST) ON d1.PTSDocumentFolderID = df1.PTSDocumentFolderID UNION ALL -- recursive SELECT ddf1.PTSDocumentFolderID_Original , df1.PTSDocumentFolderID_Parent , 'sDocumentFolder' = df1.sName , 'nLevel' = ddf1.nLevel - 1 FROM dbo.PTSDocumentFolder_DY AS df1 WITH(READPAST) INNER JOIN DocFoldersByDocFolderID AS ddf1 ON df1.PTSDocumentFolderID = ddf1.PTSDocumentFolderID_Parent)-- Flatten out folder path, DocFolderSingleByDocFolderID(PTSDocumentFolderID_Original, sDocumentFolder)AS (SELECT dfbdf.PTSDocumentFolderID_Original , 'sDocumentFolder' = STUFF((SELECT '\' + sDocumentFolder FROM DocFoldersByDocFolderID WHERE (PTSDocumentFolderID_Original = dfbdf.PTSDocumentFolderID_Original) ORDER BY PTSDocumentFolderID_Original, nLevel FOR XML PATH ('')),1,1,'') FROM DocFoldersByDocFolderID AS dfbdf GROUP BY dfbdf.PTSDocumentFolderID_Original) And voila, I use the second CTE to join back to my original query (which is now a CTE for Source as we can now use MERGE to do INSERT and UPDATE at the same time).Each part of this solution would not solve the problem by itself because:If I don't use recursion, I cannot build out the path properly. If I use the XML trick only, then I don't have the originating folder ID info that I need to link to the document.If I don't use the XML trick, then I don't have one row per document to show in the report.I could conceivably do this in the report function, but I'd rather not deal with the beginning or ending backslash and how to attach the document name.PIVOT doesn't do strings and UNPIVOT runs into the same problem as the above.I'm excited that each version of SQL server provides us new tools to solve old problems and/or enables us to solve problems in a more elegant wayThe 2 posts that helped me along:Recursive Queries Using Common Table ExpressionHow to use GROUP BY to concatenate strings in SQL server?

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Is my class structure good enough?

- by Rivten

So I wanted to try out this challenge on reddit which is mostly about how you structure your data the best you can. I decided to challenge my C++ skills. Here's how I planned this. First, there's the Game class. It deals with time and is the only class main has access to. A game has a Forest. For now, this class does not have a lot of things, only a size and a Factory. Will be put in better use when it will come to SDL-stuff I guess A Factory is the thing that deals with the Game Objects (a.k.a. Trees, Lumberjack and Bears). It has a vector of all GameObjects and a queue of Events which will be managed at the end of one month. A GameObject is an abstract class which can be updated and which can notify the Event Listener The EventListener is a class which handles all the Events of a simulation. It can recieve events from a Game Object and notify the Factory if needed, the latter will manage correctly the event. So, the Tree, Lumberjack and Bear classes all inherits from GameObject. And Sapling and Elder Tree inherits from Tree. Finally, an Event is defined by an event_type enumeration (LUMBERJACK_MAWED, SAPPLING_EVOLUTION, ...) and an event_protagonists union (a GameObject or a pair of GameObject (who killed who ?)). I was quite happy at first with this because it seems quite logic and flexible. But I ended up questionning this structure. Here's why : I dislike the fact that a GameObject need to know about the Factory. Indeed, when a Bear moves somewhere, it needs to know if there's a Lumberjack ! Or it is the Factory which handles places and objects. It would be great if a GameObject could only interact with the EventListener... or maybe it's not that much of a big deal. Wouldn't it be better if I separate the Factory in three vectors ? One for each kind of GameObject. The idea would be to optimize research. If I'm looking do delete a dead lumberjack, I would only have to look in one shorter vector rather than a very long vector. Another problem arises when I want to know if there is any particular object in a given case because I have to look for all the gameObjects and see if they are at the given case. I would tend to think that the other idea would be to use a matrix but then the issue would be that I would have empty cases (and therefore unused space). I don't really know if Sapling and Elder Tree should inherit from Tree. Indeed, a Sapling is a Tree but what about its evolution ? Should I just delete the sapling and say to the factory to create a new Tree at the exact same place ? It doesn't seem natural to me to do so. How could I improve this ? Is the design of an Event quite good ? I've never used unions before in C++ but I didn't have any other ideas about what to use. Well, I hope I have been clear enough. Thank you for taking the time to help me !

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Best available technology for layered disk cache in linux

- by SpliFF

I've just bought a 6-core Phenom with 16G of RAM. I use it primarily for compiling and video encoding (and occassional web/db). I'm finding all activities get disk-bound and I just can't keep all 6 cores fed. I'm buying an SSD raid to sit between the HDD and tmpfs. I want to setup a "layered" filesystem where reads are cached on tmpfs but writes safely go through to the SSD. I want files (or blocks) that haven't been read lately on the SSD to then be written back to a HDD using a compressed FS or block layer. So basically reads: - Check tmpfs - Check SSD - Check HD And writes: - Straight to SSD (for safety), then tmpfs (for speed) And periodically, or when space gets low: - Move least frequently accessed files down one layer. I've seen a few projects of interest. CacheFS, cachefsd, bcache seem pretty close but I'm having trouble determining which are practical. bcache seems a little risky (early adoption), cachefs seems tied to specific network filesystems. There are "union" projects unionfs and aufs that let you mount filesystems over each other (USB device over a DVD usually) but both are distributed as a patch and I get the impression this sort of "transparent" mounting was going to become a kernel feature rather than a FS. I know the kernel has a built-in disk cache but it doesn't seem to work well with compiling. I see a 20x speed improvement when I move my source files to tmpfs. I think it's because the standard buffers are dedicated to a specific process and compiling creates and destroys thousands of processes during a build (just guessing there). It looks like I really want those files precached. I've read tmpfs can use virtual memory. In that case is it practical to create a giant tmpfs with swap on the SSD? I don't need to boot off the resulting layered filesystem. I can load grub, kernel and initrd from elsewhere if needed. So that's the background. The question has several components I guess: Recommended FS and/or block layer for the SSD and compressed HDD. Recommended mkfs parameters (block size, options etc...) Recommended cache/mount technology to bind the layers transparently Required mount parameters Required kernel options / patches, etc..

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Nagios3: Conditional operators for service checks?

- by Dave

I'm trying to setup Nagios to monitor my various using hostgroups to define 'machine roles', against which I run services to check the machines by role. However, I'd like to use conditional operators that would enable me to run the service check against an intersection of two host groups, rather than their unions... i.e. using &&, ||, or () operators. For example, imagine I have the following servers: www-eu: Linux WWW (Apache) server, in the EU www-us: Windows WWW (IIS) server, in the US (West coast) ftp-eu: Linux FTP server, in the EU ftp-us: Windows FTP server, in the US I would want to create the following host groups: US-Servers: www-us, ftp-us EU-Servers: www-eu, ftp-eu WWW-Servers: www-us, www-eu FTP-Servers: ftp-us, ftp-eu Now say I'm interested in checking the HTTP response time for my web servers. Then let's say this particular Nagios service is running from the US (West Coast), and that I have a command called *check_http_response_time*. This command will check the responsiveness of the HTTP server, which I can provide an argument which defines the max response time before raising critical. My command might look like: check_http_response_time $HOSTNAME$ 50 Now traditionally, I can run my checks by specifying a list of host or hostgroups. define service{ use local-service hostgroup_name WWW-Servers # Servers = www-us, www-eu servicegroups WWW Checks service_description Check HTTP Response Time check_command check_http_response_time!50 } However, with the above service definition, given my Nagios service is in US West, I could reasonably expect that my EU server will return critical. Really, I want different thresholds for each region (50 for US West, 200 for EU.) I would have to permutate my service for each host and set their custom threshold, or alternatively permutate out my service groups by role & region (i.e. WWW-Servers-EU), and run my specific thresholds against those. Though the latter is better, both are much messier than I'd like... What I would love, and what this post is asking for, is a way to use hostgroups to perform an intersection using conditional logic, rather than a simple union. It might look like: define service{ use local-service hostgroup_name WWW-Servers && US-Servers servicegroups WWW Checks service_description Check HTTP Response Time check_command check_http_response_time!50 } It then would run the check only against servers that are in both WWW-Servers and US-Servers, in my example, just www-us. The benefits of such a feature would be significant for Nagios services configured for large-scale. Is this feature available? If it isn't, will it be available in the future? Is there an alternative way to accomplish this given the most recent Nagios version? Any tips/suggestions are most appreciated! Dave

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BI&EPM in Focus June 2014

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

Applications Webcast Centre – A Library of Discussion and Research for Best Practice: Achieving Reliable Planning, Budgeting and Forecasting Talent Analytics and Big Data – Is HR ready for the challenge Enterprise Data – The cost of non-quality Customers Josephine Niemiec from ADP talks about Oracle Hyperion Workforce Planning at Collaborate 2014 (link) Video Chris Nelms from Ameren talks about Oracle BI Spend and Procurement Analytics at Collaborate 2014 (link) Video Leggett & Platt Leverages Oracle Hyperion EPM and Demantra (link) Video Pella Corporation Accelerates Close Cycle by Cutting Time for Financial Consolidation from Three Days to Less Than One Day (link) Secretaría General de Administración de Justicia en España Enhances Citizen Services with Near-Real-Time Business Intelligence Gleaned from 500 Databases (link) Bellco Credit Union Speeds Budget Development by 30%—Gains Insight into Specific Branch and Financial Product Profitability (link) Video QDQ media Speeds up Financial Reporting by 24x, Gains Business Agility, and Integrates Seamlessly into Corporate Accounting System (link) Westfield Group Maximizes Shopping Mall Revenue, Shortens Year-End Financial Consolidation by 75% (link) IL&FS Transportation Networks Shortens Financial Consolidation and Reporting Cycle by Eight Days, Gains In-Depth Insight into Business Performance (link) Angel Trains Optimizes Rail Operations for Purchasing, Sourcing, and Project Management to Meet Challenges of Evolving Rail Industry (link) Enterprise Performance Management June 11, at Oracle Utrecht, NL: Morning session: Explore Planning and Budgeting in the Cloud (link) June 12, London: PureApps Presents: Best Practice Financial Consolidation and Reporting Workshop (link) July 3, Koln: Oracle Hyperion Business Analytics Roundtable (link) Blog: What's Your Tax Strategy? Automate the Operational Transfer Pricing Process (link) YouTube Video: Automate Tax Reporting with Oracle Hyperion Tax Provision (link) YouTube Video: Introducing Oracle Hyperion Planning’s Tablet Optimized Interface (link) OracleEPMWebcasts @ YouTube (link) Partner webcasts: Wednesday, 4 June, 5.00 GMT - Case Study: Lessons Learned from Edgewater Ranzal's Internal Implementation of Oracle Planning & Budgeting Cloud Service (PBCS) - Learn more and register here! Thursday, 5 June, 4.00 GMT - Achieving Accountable Care Using Oracle Technology - Learn more and register here! Tuesday, 17 June, 4.00 GMT - Optimizing Performance for Oracle EPM Systems - Learn more and register here! Oracle University Blog: The Coolest Features Available with Oracle Hyperion 11.1.2.3 – Training from OU to help you to best use them (link) Support: Proactive Support: EPM Hyperion Planning 11.1.2.3.500 Using RMI Service [Blog] Proactive Support: Planning and Budgeting Cloud Service Videos (link) Planning and Budgeting Cloud Service (PBCS) 11.1.2.3.410 Patch Bundle [Doc ID 1670981.1] Hyperion Analytic Provider Services 11.1.2.2.106 Patch Set Update [Doc ID 1667350.1] Hyperion Essbase 11.1.2.2.106 Patch Set Update [Doc ID 1667346.1] Hyperion Essbase Administration Services 11.1.2.2.106 Patch Set Update [Doc ID 1667348.1] Hyperion Essbase Studio 11.1.2.2.106 Patch Set Update [Doc ID 1667329.1] Hyperion Smart View 11.1.2.5.210 Patch Set Update [Doc ID 1669427.1] Using HPCM, HSF or DRM Communities (link) Business Intelligence June 12, Birmingham, UK: Oracle Big Data at Work - Use Cases and Architecture (link) June 17, London: Oracle at Cloud & Big Data World Forums (link) June 17, Partner Webcast: Transform your Planning Capabilities with Peloton's CloudAccelerator for Oracle PBCS (link) June 19, London: Oracle at the Whitehall Media Big Data Analytics Conference and Exhibition (link) June 19, London: Partner Event - Agile BI Conference by Peak Indicators [link] June 25, Munich: Oracle Special Day auf der TDWI 2014 Konferenz (link) July 15, London: Oracle Endeca Information Discovery Workshop (link) July 16, London: BI Applications Workshop – Financial Analytics & Procurement Analytics (link) July 17, London: BI Applications Workshop – HR Analytics (link) Milan, Italy: L’Osservatorio Big Data Analytics & Business Intelligence with Politecnico di Milano (link) OBIA 11.1.1.8.1 - Now Available [Blog] What’s New in OBIA 11.1.1.8.1 [Blog] BI Blog: A closer look at Oracle BI Applications 11.1.1.8.1 release (link) Press Release: BI Applications Deliver Greater Insight into Talent and Procurement (link) Support Blog: OBIA 11.1.1.8.1 Upgrade Guide & Documentation (link) YouTube Video: Glenn Hoormann of Ludus talks to us about Oracle Business Intelligence and ERP at Collaborate 2014 (Link) YouTube Video: Performance Architects talks about key BI and Mobile trends, including Endeca at Collaborate 2014 (link) Big Data Blog: 3 Keys for Using Big Data Effectively for Enhanced Customer Experience (link) Big Data Lite Demo VM 3.0 Now Available on OTN BI Blog: Data Relationship Governance - Workflow in a Bottle (link) MDM Blog: Register for Product Data Management Weekly Cloudcasts (link) MDM Blog: Improve your Customer Experience with High Quality Information (link) MDM Blog: Big Data Challenges & Considerations (link) Oracle University: Oracle BI Applications 11g: Implementation using ODI (link) Proactive Support: Monthly Index [Blog] My Oracle Support: Partner Accreditation for Business Analytics Support [Blog] OBIEE 11g Test-to-Production (T2P) / Clone Procedures Guide [Blog] Normal 0 false false false EN-GB 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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SQL SERVER – SQL in Sixty Seconds – 5 Videos from Joes 2 Pros Series – SQL Exam Prep Series 70-433

- by pinaldave

Joes 2 Pros SQL Server Learning series is indeed fun. Joes 2 Pros series is written for beginners and who wants to build expertise for SQL Server programming and development from fundamental. In the beginning of the series author Rick Morelan is not shy to explain the simplest concept of how to open SQL Server Management Studio. Honestly the book starts with that much basic but as it progresses further Rick discussing about various advanced concepts from query tuning to Core Architecture. This five part series is written with keeping SQL Server Exam 70-433. Instead of just focusing on what will be there in exam, this series is focusing on learning the important concepts thoroughly. This book no way take short cut to explain any concepts and at times, will go beyond the topic at length. The best part is that all the books has many companion videos explaining the concepts and videos. Every Wednesday I like to post a video which explains something in quick few seconds. Today we will go over five videos which I posted in my earlier posts related to Joes 2 Pros series. Introduction to XML Data Type Methods – SQL in Sixty Seconds #015 The XML data type was first introduced with SQL Server 2005. This data type continues with SQL Server 2008 where expanded XML features are available, most notably is the power of the XQuery language to analyze and query the values contained in your XML instance. There are five XML data type methods available in SQL Server 2008: query() – Used to extract XML fragments from an XML data type. value() – Used to extract a single value from an XML document. exist() – Used to determine if a specified node exists. Returns 1 if yes and 0 if no. modify() – Updates XML data in an XML data type. node() – Shreds XML data into multiple rows (not covered in this blog post). [Detailed Blog Post] | [Quiz with Answer] Introduction to SQL Error Actions – SQL in Sixty Seconds #014 Most people believe that when SQL Server encounters an error severity level 11 or higher the remaining SQL statements will not get executed. In addition, people also believe that if any error severity level of 11 or higher is hit inside an explicit transaction, then the whole statement will fail as a unit. While both of these beliefs are true 99% of the time, they are not true in all cases. It is these outlying cases that frequently cause unexpected results in your SQL code. To understand how to achieve consistent results you need to know the four ways SQL Error Actions can react to error severity levels 11-16: Statement Termination – The statement with the procedure fails but the code keeps on running to the next statement. Transactions are not affected. Scope Abortion – The current procedure, function or batch is aborted and the next calling scope keeps running. That is, if Stored Procedure A calls B and C, and B fails, then nothing in B runs but A continues to call C. @@Error is set but the procedure does not have a return value. Batch Termination – The entire client call is terminated. XACT_ABORT – (ON = The entire client call is terminated.) or (OFF = SQL Server will choose how to handle all errors.) [Detailed Blog Post] | [Quiz with Answer] Introduction to Basics of a Query Hint – SQL in Sixty Seconds #013 Query hints specify that the indicated hints should be used throughout the query. Query hints affect all operators in the statement and are implemented using the OPTION clause. Cautionary Note: Because the SQL Server Query Optimizer typically selects the best execution plan for a query, it is highly recommended that hints be used as a last resort for experienced developers and database administrators to achieve the desired results. [Detailed Blog Post] | [Quiz with Answer] Introduction to Hierarchical Query – SQL in Sixty Seconds #012 A CTE can be thought of as a temporary result set and are similar to a derived table in that it is not stored as an object and lasts only for the duration of the query. A CTE is generally considered to be more readable than a derived table and does not require the extra effort of declaring a Temp Table while providing the same benefits to the user. However; a CTE is more powerful than a derived table as it can also be self-referencing, or even referenced multiple times in the same query. A recursive CTE requires four elements in order to work properly: Anchor query (runs once and the results ‘seed’ the Recursive query) Recursive query (runs multiple times and is the criteria for the remaining results) UNION ALL statement to bind the Anchor and Recursive queries together. INNER JOIN statement to bind the Recursive query to the results of the CTE. [Detailed Blog Post] | [Quiz with Answer] Introduction to SQL Server Security – SQL in Sixty Seconds #011 Let’s get some basic definitions down first. Take the workplace example where “Tom” needs “Read” access to the “Financial Folder”. What are the Securable, Principal, and Permissions from that last sentence? A Securable is a resource that someone might want to access (like the Financial Folder). A Principal is anything that might want to gain access to the securable (like Tom). A Permission is the level of access a principal has to a securable (like Read). [Detailed Blog Post] | [Quiz with Answer] Please leave a comment explain which one was your favorite video as that will help me understand what works and what needs improvement. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology, Video

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MSCC: Career & IT Fair 2014

Already a couple of weeks ago, I've been addressed by Ibraahim and Yunus to see whether it would be interesting to participate in the 1st Career & IT Fair organised by the UoM Computer Club. Well, luckily we met at the Global Windows Azure Bootcamp and I wasn't too sure whether it would be possible for me to attend after all. The main reason is given because of work demand and furthermore due to the fact that the Mauritius Software Craftsmanship Community currently has no advertising material at all. Here's the brief statement of the event: "The UOM Students' Computer Club in collaboration with the UOM Students' Union and UOM CSE Department is organising a 'Career & IT Fair' on the 23rd and 24th April 2014. This event has for objective to provide a platform to tertiary students, secondary students as well as vocational students, the opportunity to meet job recruiters." Luckily, I was reminded that the 23rd is a Wednesday, and therefore I decided that it might be interesting to move our weekly Code & Coffee session to the university and hence be able to attend the career fair. As it turned out it was a great choice and thankfully Pritvi, Nadim as well as Ishwon volunteered to be around at the "community booth". Thankfully, the computer club gave us - the MSCC and the LUGM - one of their spaces in the lobby area of the Paul Octave Wiéhé Auditorium. My impression about the event Very well and professionally organised. Seriously, the lads over at the UoM Computer Club did a great job in organising their 2 days event, and felt very comfortable at any time. Actually, it was kind of amusing to some of the members constantly running around and checking everything. Even though that the whole process went smooth and easy off the hand. There were a couple of interesting pieces of information and announcements during the opening ceremony. For example, the Computer Science faculty is a very young one and has been initiated back in 1988 only - just by 4 staff members at that time. Now, after 25 years they have achieved quite a lot and there are currently 1.000+ active students attending the numerous lectures and courses. But there is no room to rest on previous achievements, and I was kind of surprised to hear that there are plans to extend the campus, and offer new lectures in the fields of nanotechnology, big data handling, and - crossing fingers - the introduction and establishment of a space control centre. Mauritius is already part of the Square Kilometre Array (SKA) and hopefully there will be more activities into that direction in the near future. Community - Awareness and collaboration As stated earlier, I could only spent one morning but luckily other members of the MSCC and the LUGM stayed during the whole two days and provided answers to any interested person. As for me, I took the opportunity to get in touch with the other companies in the lobby. Mainly, to create some awareness about our IT communities but also to see whether there might be options for future engagement in common activities, too. So far, I was able to speak to representatives of the following companies: ACCA Mauritius Business at Work Infomil LinkByNet Microsoft Indian Ocean Islands & French Pacific Spherinity Training Institute Spoon Consulting Ltd. State Informatics Ltd. Unfortunately, I only had a quick chat with an HR representative of LinkByNet but I fully count on our MSCC members like Nitin or LUGM member Ronny to spread our intentions over there. So far, all of the representatives were really interested in our concepts and activities and I'm currently catching up with an introduction flyer for the MSCC that I'm going to send out to all those contacts via mail. It would be great to have more craftsmen as well as professional support on board. Some pictures from the event MSCC: Fantastic outlook for the near future. Announcements were made on Big data, nanotechnology, and space control centre in Mauritius. Interesting! MSCC: The lobby area was cramped with students. Great way to exchange and network. Good luck to all candidates! Passing the relay staff to... I recommend you to continue to read about the first Career & IT Fair on Ish's blog. He has a great summary and more details on those two days of IT activities than I have. Thanks and feel free to leave a comment (or two)...

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Highlights from the Oracle Customer Experience Summit @ OpenWorld

- by Kathryn Perry

A guest post by David Vap, Group Vice President, Oracle Applications Product Development The Oracle Customer Experience Summit was the first-ever event covering the full breadth of Oracle's CX portfolio -- Marketing, Sales, Commerce, and Service. The purpose of the Summit was to articulate the customer experience imperative and to showcase the suite of Oracle products that can help our customers create the best possible customer experience. This topic has always been a very important one, but now that there are so many alternative companies to do business with and because people have such public ways to voice their displeasure, it's necessary for vendors to have multiple listening posts in place to gauge consumer sentiment. They need to know what is going on in real time and be able to react quickly to turn negative situations into positive ones. Those can then be shared in a social manner to enhance the brand and turn the customer into a repeat customer. The Summit was focused on Oracle's portfolio of products and entirely dedicated to customers who are committed to building great customer experiences within their businesses. Rather than DBAs, the attendees were business people looking to collaborate with other like-minded experts and find out how Oracle can help in terms of technology, best practices, and expertise. The event was at the Westin St. Francis Hotel in San Francisco as part of Oracle OpenWorld. We had eight hundred people attend, which was great for the first year. Next year, there's no doubt in my mind, we can raise that number to 5,000. Alignment and Logic Oracle's Customer Experience portfolio is made up of a combination of acquired and organic products owned by many people who are new to Oracle. We include homegrown Fusion CRM, as well as RightNow, Inquira, OPA, Vitrue, ATG, Endeca, and many others. The attendees knew of the acquisitions, so naturally they wanted to see how the products all fit together and hear the logic behind the portfolio. To tell them about our alignment, we needed to be aligned. To accomplish that, a cross functional team at Oracle agreed on the messaging so that every single Oracle presenter could cover the big picture before going deep into a product or topic. Talking about the full suite of products in one session produced overflow value for other products. And even though this internal coordination was a huge effort, everyone saw the value for our customers and for our long-term cooperation and success. Keynotes, Workshops, and Tents of Innovation We scored by having Seth Godin as our keynote speaker ? always provocative and popular. The opening keynote was a session orchestrated by Mark Hurd, Anthony Lye, and me. Mark set the stage by giving real-world examples of bad customer experiences, Anthony clearly articulated the business imperative for addressing these experiences, and I brought it all to life by taking the audience around the Customer Lifecycle and showing demos and videos, with partners included at each of the stops around the lifecycle. Brian Curran, a VP for RightNow Product Strategy, presented a session that was in high demand called The Economics of Customer Experience. People loved hearing how to build a business case and justify the cost of building a better customer experience. John Kembel, another VP for RightNow Product Strategy, held a workshop that customers raved about. It was based on the journey mapping methodology he created, which is a way to talk to customers about where they want to make improvements to their customers' experiences. He divided the audience into groups led by facilitators. Each person had the opportunity to engage with experts and peers and construct some real takeaways. From left to right: Brian Curran, John Kembel, Seth Godin, and George Kembel The conference hotel was across from Union Square so we used that space to set up Innovation Tents. During the day we served lunch in the tents and partners showed their different innovative ideas. It was very interesting to see all the technologies and advancements. It also gave people a place to mix and mingle and to think about the fringe of where we could all take these ideas. Product Portfolio Plus Thought Leadership Of course there is always room for improvement, but the feedback on the format of the conference was positive. Ninety percent of the sessions had either a partner or a customer teamed with an Oracle presenter. The presentations weren't dry, one-way information dumps, but more interactive. I just followed up with a CEO who attended the conference with his Head of Marketing. He told me that they are using John Kembel's journey mapping methodology across the organization to pull people together. This sort of thought leadership in these highly competitive areas gives Oracle permission to engage around the technology. We have to differentiate ourselves and it's harder to do on the product side because everyone looks the same on paper. But on thought leadership ? we can, and did, take some really big steps. David VapGroup Vice PresidentOracle Applications Product Development

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Reference Data Management and Master Data: Are Relation ?

- by Mala Narasimharajan

Submitted By: Rahul Kamath Oracle Data Relationship Management (DRM) has always been extremely powerful as an Enterprise Master Data Management (MDM) solution that can help manage changes to master data in a way that influences enterprise structure, whether it be mastering chart of accounts to enable financial transformation, or revamping organization structures to drive business transformation and operational efficiencies, or restructuring sales territories to enable equitable distribution of leads to sales teams following the acquisition of new products, or adding additional cost centers to enable fine grain control over expenses. Increasingly, DRM is also being utilized by Oracle customers for reference data management, an emerging solution space that deserves some explanation. What is reference data? How does it relate to Master Data? Reference data is a close cousin of master data. While master data is challenged with problems of unique identification, may be more rapidly changing, requires consensus building across stakeholders and lends structure to business transactions, reference data is simpler, more slowly changing, but has semantic content that is used to categorize or group other information assets – including master data – and gives them contextual value. In fact, the creation of a new master data element may require new reference data to be created. For example, when a European company acquires a US business, chances are that they will now need to adapt their product line taxonomy to include a new category to describe the newly acquired US product line. Further, the cross-border transaction will also result in a revised geo hierarchy. The addition of new products represents changes to master data while changes to product categories and geo hierarchy are examples of reference data changes.1 The following table contains an illustrative list of examples of reference data by type. Reference data types may include types and codes, business taxonomies, complex relationships & cross-domain mappings or standards. Types & Codes Taxonomies Relationships / Mappings Standards Transaction Codes Industry Classification Categories and Codes, e.g., North America Industry Classification System (NAICS) Product / Segment; Product / Geo Calendars (e.g., Gregorian, Fiscal, Manufacturing, Retail, ISO8601) Lookup Tables (e.g., Gender, Marital Status, etc.) Product Categories City à State à Postal Codes Currency Codes (e.g., ISO) Status Codes Sales Territories (e.g., Geo, Industry Verticals, Named Accounts, Federal/State/Local/Defense) Customer / Market Segment; Business Unit / Channel Country Codes (e.g., ISO 3166, UN) Role Codes Market Segments Country Codes / Currency Codes / Financial Accounts Date/Time, Time Zones (e.g., ISO 8601) Domain Values Universal Standard Products and Services Classification (UNSPSC), eCl@ss International Classification of Diseases (ICD) e.g., ICD9 à IC10 mappings Tax Rates Why manage reference data? Reference data carries contextual value and meaning and therefore its use can drive business logic that helps execute a business process, create a desired application behavior or provide meaningful segmentation to analyze transaction data. Further, mapping reference data often requires human judgment. Sample Use Cases of Reference Data Management Healthcare: Diagnostic Codes The reference data challenges in the healthcare industry offer a case in point. Part of being HIPAA compliant requires medical practitioners to transition diagnosis codes from ICD-9 to ICD-10, a medical coding scheme used to classify diseases, signs and symptoms, causes, etc. The transition to ICD-10 has a significant impact on business processes, procedures, contracts, and IT systems. Since both code sets ICD-9 and ICD-10 offer diagnosis codes of very different levels of granularity, human judgment is required to map ICD-9 codes to ICD-10. The process requires collaboration and consensus building among stakeholders much in the same way as does master data management. Moreover, to build reports to understand utilization, frequency and quality of diagnoses, medical practitioners may need to “cross-walk” mappings -- either forward to ICD-10 or backwards to ICD-9 depending upon the reporting time horizon. Spend Management: Product, Service & Supplier Codes Similarly, as an enterprise looks to rationalize suppliers and leverage their spend, conforming supplier codes, as well as product and service codes requires supporting multiple classification schemes that may include industry standards (e.g., UNSPSC, eCl@ss) or enterprise taxonomies. Aberdeen Group estimates that 90% of companies rely on spreadsheets and manual reviews to aggregate, classify and analyze spend data, and that data management activities account for 12-15% of the sourcing cycle and consume 30-50% of a commodity manager’s time. Creating a common map across the extended enterprise to rationalize codes across procurement, accounts payable, general ledger, credit card, procurement card (P-card) as well as ACH and bank systems can cut sourcing costs, improve compliance, lower inventory stock, and free up talent to focus on value added tasks. Change Management: Point of Sales Transaction Codes and Product Codes In the specialty finance industry, enterprises are confronted with usury laws – governed at the state and local level – that regulate financial product innovation as it relates to consumer loans, check cashing and pawn lending. To comply, it is important to demonstrate that transactions booked at the point of sale are posted against valid product codes that were on offer at the time of booking the sale. Since new products are being released at a steady stream, it is important to ensure timely and accurate mapping of point-of-sale transaction codes with the appropriate product and GL codes to comply with the changing regulations. Multi-National Companies: Industry Classification Schemes As companies grow and expand across geographies, a typical challenge they encounter with reference data represents reconciling various versions of industry classification schemes in use across nations. While the United States, Mexico and Canada conform to the North American Industry Classification System (NAICS) standard, European Union countries choose different variants of the NACE industry classification scheme. Multi-national companies must manage the individual national NACE schemes and reconcile the differences across countries. Enterprises must invest in a reference data change management application to address the challenge of distributing reference data changes to downstream applications and assess which applications were impacted by a given change. References 1 Master Data versus Reference Data, Malcolm Chisholm, April 1, 2006.

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Highlights from the Oracle Customer Experience Summit @ OpenWorld

- by Richard Lefebvre

The Oracle Customer Experience Summit was the first-ever event covering the full breadth of Oracle's CX portfolio -- Marketing, Sales, Commerce, and Service. The purpose of the Summit was to articulate the customer experience imperative and to showcase the suite of Oracle products that can help our customers create the best possible customer experience. This topic has always been a very important one, but now that there are so many alternative companies to do business with and because people have such public ways to voice their displeasure, it's necessary for vendors to have multiple listening posts in place to gauge consumer sentiment. They need to know what is going on in real time and be able to react quickly to turn negative situations into positive ones. Those can then be shared in a social manner to enhance the brand and turn the customer into a repeat customer. The Summit was focused on Oracle's portfolio of products and entirely dedicated to customers who are committed to building great customer experiences within their businesses. Rather than DBAs, the attendees were business people looking to collaborate with other like-minded experts and find out how Oracle can help in terms of technology, best practices, and expertise. The event was at the Westin St. Francis Hotel in San Francisco as part of Oracle OpenWorld. We had eight hundred people attend, which was great for the first year. Next year, there's no doubt in my mind, we can raise that number to 5,000. Alignment and Logic Oracle's Customer Experience portfolio is made up of a combination of acquired and organic products owned by many people who are new to Oracle. We include homegrown Fusion CRM, as well as RightNow, Inquira, OPA, Vitrue, ATG, Endeca, and many others. The attendees knew of the acquisitions, so naturally they wanted to see how the products all fit together and hear the logic behind the portfolio. To tell them about our alignment, we needed to be aligned. To accomplish that, a cross functional team at Oracle agreed on the messaging so that every single Oracle presenter could cover the big picture before going deep into a product or topic. Talking about the full suite of products in one session produced overflow value for other products. And even though this internal coordination was a huge effort, everyone saw the value for our customers and for our long-term cooperation and success. Keynotes, Workshops, and Tents of Innovation We scored by having Seth Godin as our keynote speaker ? always provocative and popular. The opening keynote was a session orchestrated by Mark Hurd, Anthony Lye, and me. Mark set the stage by giving real-world examples of bad customer experiences, Anthony clearly articulated the business imperative for addressing these experiences, and I brought it all to life by taking the audience around the Customer Lifecycle and showing demos and videos, with partners included at each of the stops around the lifecycle. Brian Curran, a VP for RightNow Product Strategy, presented a session that was in high demand called The Economics of Customer Experience. People loved hearing how to build a business case and justify the cost of building a better customer experience. John Kembel, another VP for RightNow Product Strategy, held a workshop that customers raved about. It was based on the journey mapping methodology he created, which is a way to talk to customers about where they want to make improvements to their customers' experiences. He divided the audience into groups led by facilitators. Each person had the opportunity to engage with experts and peers and construct some real takeaways. The conference hotel was across from Union Square so we used that space to set up Innovation Tents. During the day we served lunch in the tents and partners showed their different innovative ideas. It was very interesting to see all the technologies and advancements. It also gave people a place to mix and mingle and to think about the fringe of where we could all take these ideas. Product Portfolio Plus Thought Leadership Of course there is always room for improvement, but the feedback on the format of the conference was positive. Ninety percent of the sessions had either a partner or a customer teamed with an Oracle presenter. The presentations weren't dry, one-way information dumps, but more interactive. I just followed up with a CEO who attended the conference with his Head of Marketing. He told me that they are using John Kembel's journey mapping methodology across the organization to pull people together. This sort of thought leadership in these highly competitive areas gives Oracle permission to engage around the technology. We have to differentiate ourselves and it's harder to do on the product side because everyone looks the same on paper. But on thought leadership ? we can, and did, take some really big steps. David Vap Group Vice President Oracle Applications Product Development

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Prevent recursive CTE visiting nodes multiple times

- by bacar

Consider the following simple DAG: 1->2->3->4 And a table, #bar, describing this (I'm using SQL Server 2005): parent_id child_id 1 2 2 3 3 4 //... other edges, not connected to the subgraph above Now imagine that I have some other arbitrary criteria that select the first and last edges, i.e. 1-2 and 3-4. I want to use these to find the rest of my graph. I can write a recursive CTE as follows (I'm using terminology from MSDN): with foo(parent_id,child_id) as ( // anchor member that happens to select first and last edges: select parent_id,child_id from #bar where parent_id in (1,3) union all // recursive member: select #bar.* from #bar join foo on #bar.parent_id = foo.child_id ) select parent_id,child_id from foo However, this results in edge 3-4 being selected twice: parent_id child_id 1 2 3 4 2 3 3 4 // 2nd appearance! How can I prevent the query from recursing into subgraphs that have already been described? I could achieve this if, in my "recursive member" part of the query, I could reference all data that has been retrieved by the recursive CTE so far (and supply a predicate indicating in the recursive member excluding nodes already visited). However, I think I can access data that was returned by the last iteration of the recursive member only. This will not scale well when there is a lot of such repetition. Is there a way of preventing this unnecessary additional recursion? Note that I could use "select distinct" in the last line of my statement to achieve the desired results, but this seems to be applied after all the (repeated) recursion is done, so I don't think this is an ideal solution. Edit - hainstech suggests stopping recursion by adding a predicate to exclude recursing down paths that were explicitly in the starting set, i.e. recurse only where foo.child_id not in (1,3). That works for the case above only because it simple - all the repeated sections begin within the anchor set of nodes. It doesn't solve the general case where they may not be. e.g., consider adding edges 1-4 and 4-5 to the above set. Edge 4-5 will be captured twice, even with the suggested predicate. :(

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