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  • The Power Of XSL Compared To CSS

    CSS or Cascading Style Sheets is one of the most popular style sheet language used in the market today. This is mainly because of its ease of use as well as with its simplicity which is why CSS was o... [Author: Margarette Mcbride - Web Design and Development - May 17, 2010]

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  • Non-Standardized Style Sheet Languages

    CSS (Cascading Style Sheets) and XSL (Extensible Stylesheet Language) are considered as the standard style sheet languages used in web development. However, other than CSS and XSL, there has also bee... [Author: Margarette Mcbride - Web Design and Development - May 04, 2010]

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  • A Style Sheet Language More Powerful Than CSS

    Cascading Style Sheet or CSS is considered by many web professionals as one of the most successful style sheet language introduced for website design. It was the style sheet language that revolutioni... [Author: Margarette Mcbride - Web Design and Development - May 06, 2010]

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  • The Start Of Website Design And CSS

    In the long history of web design practices, the use of style sheet languages such as Cascading Style Sheet, or CSS, have greatly revolutionized the way professionals create and design websites. It d... [Author: Margarette Mcbride - Web Design and Development - April 27, 2010]

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  • Web Design Before The Style Sheet Language

    In today';s trends of website design, the use of style sheet languages such as CSS (Cascading Style Sheets) and XSL (Extensible StyleSheet Languages) are considered necessary to build a successful web... [Author: Margarette Mcbride - Web Design and Development - May 17, 2010]

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  • The Style Sheet Languages Of Then And Now

    One of the most popular style sheet language used across the industry of web designing today is CSS (Cascading Style Sheets). It was once known as the "tableless web design" because it was the only s... [Author: Margarette Mcbride - Web Design and Development - May 17, 2010]

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  • A Powerful Style Sheet Language

    According to many web designers, CSS or Cascading Style Sheets is considered as the most popular type of style sheet language used in the market today. This is because of its simplicity which allows ... [Author: Margarette Mcbride - Web Design and Development - June 09, 2010]

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  • Comparison Of The Best Style Sheet Languages

    CSS, Cascading Style Sheets, is one of the most popular types of style sheet languages used by many web developers today. Part of what made it popular is its flexibility in almost all types of browse... [Author: Margarette Mcbride - Web Design and Development - May 05, 2010]

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  • Style Sheet Languages Before CSS

    CSS or Cascading Style Sheets is one of the most widely used form of style sheet languages used in the market. According to many professionals, CSS was the perfect move from the use of tables in web ... [Author: Margarette Mcbride - Web Design and Development - May 03, 2010]

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  • Dreamweaver For Joomla

    Dreamweaver is integrated development environment which is compatible with Mac and Windows operating system. It support web technologies and program such as Cascading style sheet (CSS), javascript, PHP, etc. With the support of other product such as adobe, dreamweaver organize multimedia projects for websites.

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  • Popular Style Sheet Languages Of The Past And Present

    In the art of web designing and development, style sheet languages such as CSS (Cascading Style Sheets) have become a popular for many professionals. However, other CSS, a number of style sheet langu... [Author: Margarette Mcbride - Web Design and Development - May 17, 2010]

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  • Date Tracking in Oracle HRMS

    - by Manoj Madhusoodanan
    Update Date Track Modes To maintain employee data effectively Oracle HCM is using a mechanism called date tracking.The main motive behind the date track mode is to maintain past,present and future data effectively.The various update date track modes are: CORRECTION : Over writes the data. No history will maintain.UPDATE : Keeps the history and new change will effect as of effective dateUPDATE_CHANGE_INSERT : Inserts the record and preserves the futureUPDATE_OVERRIDE : Inserts the record and overrides the future 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Action: Created Employee # 22 on 01-JAN-2012 The record in PER_ALL_PEOPLE_F is as shown below. Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 31-DEC-4712 24 2 Action: Updated record in CORRECTION mode Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 31-DEC-4712 24 Single 3 Action: Updated record in UPDATE mode effective 01-JUN-2012 and Marital Status = Married Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 31-MAY-2012 24 Single 4 01-JUN-2012 31-DEC-4712 24 Married 5 Action: Updated record in UPDATE mode effective 01-SEP-2012 and Marital Status = Divorced Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 31-MAY-2012 24 Single 4 01-JUN-2012 31-AUG-2012 24 Married 6 01-SEP-2012 31-DEC-4712 24 Divorced 7 Action: Updated record in UPDATE_CHANGE_INSERT mode effective 01-MAR-2012 and Marital Status = Living Together Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 29-FEB-2012 24 Single 8 01-MAR-2012 31-MAY-2012 24 Living Together 9 01-JUN-2012 31-AUG-2012 24 Married 6 01-SEP-2012 31-DEC-4712 24 Divorced 7 Action: Updated record in UPDATE_OVERRIDE mode effective 01-AUG-2012 and Marital Status = Divorced Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 29-FEB-2012 24 Single 8 01-MAR-2012 31-MAY-2012 24 Living Together 9 01-JUN-2012 31-JUL-2012 24 Married 10 01-AUG-2012 31-DEC-4712 24 Divorced 11  Delete Date Track Modes The various delete date track modes are ZAP : wipes all recordsDELETE : Deletes  current recordFUTURE_CHANGE : Deletes current and future changes.DELETE_NEXT_CHANGE : Deletes next change 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Element Entry records are shown below. Effective Start Date Effective End Date Element Entry Id Object Version Number 01-JAN-2012 12-OCT-2012 129831 3 13-OCT-2012 19-OCT-2012 129831 5 20-OCT-2012 31-DEC-4712 129831 6 Action: Delete record in ZAP mode effective 14-JAN-2012 No rows Action: Delete record in DELETE mode effective 14-OCT-2012 Effective Start Date Effective End Date Element Entry Id Object Version Number 01-JAN-2012 12-OCT-2012 129831 3 13-OCT-2012 14-OCT-2012 129831 6 Action: Delete record in FUTURE_CHANGE mode effective 14-JAN-2012 Effective Start Date Effective End Date Element Entry Id Object Version Number 01-JAN-2012 31-DEC-4712 129831 4 Action: Delete record in NEXT_CHANGE mode effective 14-JAN-2012 Effective Start Date Effective End Date Element Entry Id Object Version Number 01-JAN-2012 19-OCT-2012 129831 4 20-OCT-2012 31-DEC-4712 129831 6

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  • Breaking 1NF to model subset constraints. Does this sound sane?

    - by Chris Travers
    My first question here. Appologize if it is in the wrong forum but this seems pretty conceptual. I am looking at doing something that goes against conventional wisdom and want to get some feedback as to whether this is totally insane or will result in problems, so critique away! I am on PostgreSQL 9.1 but may be moving to 9.2 for this part of this project. To re-iterate: Does it seem sane to break 1NF in this way? I am not looking for debugging code so much as where people see problems that this might lead. The Problem In double entry accounting, financial transactions are journal entries with an arbitrary number of lines. Each line has either a left value (debit) or a right value (credit) which can be modelled as a single value with negatives as debits and positives as credits or vice versa. The sum of all debits and credits must equal zero (so if we go with a single amount field, sum(amount) must equal zero for each financial journal entry). SQL-based databases, pretty much required for this sort of work, have no way to express this sort of constraint natively and so any approach to enforcing it in the database seems rather complex. The Write Model The journal entries are append only. There is a possibility we will add a delete model but it will be subject to a different set of restrictions and so is not applicable here. If and when we allow deletes, we will probably do them using a simple ON DELETE CASCADE designation on the foreign key, and require that deletes go through a dedicated stored procedure which can enforce the other constraints. So inserts and selects have to be accommodated but updates and deletes do not for this task. My Proposed Solution My proposed solution is to break first normal form and model constraints on arrays of tuples, with a trigger that breaks the rows out into another table. CREATE TABLE journal_line ( entry_id bigserial primary key, account_id int not null references account(id), journal_entry_id bigint not null, -- adding references later amount numeric not null ); I would then add "table methods" to extract debits and credits for reporting purposes: CREATE OR REPLACE FUNCTION debits(journal_line) RETURNS numeric LANGUAGE sql IMMUTABLE AS $$ SELECT CASE WHEN $1.amount < 0 THEN $1.amount * -1 ELSE NULL END; $$; CREATE OR REPLACE FUNCTION credits(journal_line) RETURNS numeric LANGUAGE sql IMMUTABLE AS $$ SELECT CASE WHEN $1.amount > 0 THEN $1.amount ELSE NULL END; $$; Then the journal entry table (simplified for this example): CREATE TABLE journal_entry ( entry_id bigserial primary key, -- no natural keys :-( journal_id int not null references journal(id), date_posted date not null, reference text not null, description text not null, journal_lines journal_line[] not null ); Then a table method and and check constraints: CREATE OR REPLACE FUNCTION running_total(journal_entry) returns numeric language sql immutable as $$ SELECT sum(amount) FROM unnest($1.journal_lines); $$; ALTER TABLE journal_entry ADD CONSTRAINT CHECK (((journal_entry.running_total) = 0)); ALTER TABLE journal_line ADD FOREIGN KEY journal_entry_id REFERENCES journal_entry(entry_id); And finally we'd have a breakout trigger: CREATE OR REPLACE FUNCTION je_breakout() RETURNS TRIGGER LANGUAGE PLPGSQL AS $$ BEGIN IF TG_OP = 'INSERT' THEN INSERT INTO journal_line (journal_entry_id, account_id, amount) SELECT NEW.id, account_id, amount FROM unnest(NEW.journal_lines); RETURN NEW; ELSE RAISE EXCEPTION 'Operation Not Allowed'; END IF; END; $$; And finally CREATE TRIGGER AFTER INSERT OR UPDATE OR DELETE ON journal_entry FOR EACH ROW EXECUTE_PROCEDURE je_breaout(); Of course the example above is simplified. There will be a status table that will track approval status allowing for separation of duties, etc. However the goal here is to prevent unbalanced transactions. Any feedback? Does this sound entirely insane? Standard Solutions? In getting to this point I have to say I have looked at four different current ERP solutions to this problems: Represent every line item as a debit and a credit against different accounts. Use of foreign keys against the line item table to enforce an eventual running total of 0 Use of constraint triggers in PostgreSQL Forcing all validation here solely through the app logic. My concerns are that #1 is pretty limiting and very hard to audit internally. It's not programmer transparent and so it strikes me as being difficult to work with in the future. The second strikes me as being very complex and required a series of contraints and foreign keys against self to make work, and therefore it strikes me as complex, hard to sort out at least in my mind, and thus hard to work with. The fourth could be done as we force all access through stored procedures anyway and this is the most common solution (have the app total things up and throw an error otherwise). However, I think proof that a constraint is followed is superior to test cases, and so the question becomes whether this in fact generates insert anomilies rather than solving them. If this is a solved problem it isn't the case that everyone agrees on the solution....

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  • In VisualStudio 2008, emacs mode - how can you enable "overwrite"?

    - by Abby Fichtner
    Using VisualStudio 2008, have emacs keyboard mapping scheme enabled. If I select text and try to paste over it, it INSERTS the new text, rather than replacing it. Also, if I select text and hit DELETE it deletes the first character AFTER the selected text (just as if I didn't have any text selected). Does anyone know how to fix this so that I get the standard windows behavior. That is: If I select text and try to paste over it, it replaces the selected text with what I pasted in. If I select text and hit the DELETE key, it actually deletes the text I have selected Thanks! Abby

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  • problem in `delete-directory` with enabled `delete-by-removing-to-trash`

    - by Andreo
    There is a strange behavior of delete-directory function with enabled flag delete-by-removing-to-trash. It deletes files one by one instead of applying move-file-to-trash to the directory. As a result emacs deletes big directories slowly and there are many files in the trash after deleting, so it is impossible to restore the directory. Example: Directory structure: ddd/ ccc/ 1.txt There are three files in the trash after deleting ddd: trash/ ddd/ ccc/ 1.txt instead of one: trash/ ddd/ It is very slow, because emacs traverse directory recursively. I can't restore deleted directory. What i need is exactly the same behavior as of move-file-to-trash. But it should be transparent (i.e. 'D x' in dired mode). How to solve the problem? As a temporary solution i see the making advice function for `delete-directory'.

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  • How to determine, upon launch, whether the app crashed the last time it quit?

    - by enchilada
    One of the crash reporter frameworks I've found does it like this: If there exist crash reports in the ~/Library/Logs/CrashReporter folder for the app, it determines that a crash occurred before. Then it allows the user to send the developer the crash log. And the finally, it deletes those logs. It is this deletion that is bothering me. It's not acceptable to me. Maybe the user wants to look at those logs later. It is simply rude to the user to just delete his crash logs. So I'm looking for a better way to determine the crash. It doesn't really work to store the last read crash logs in the user defaults or the user data, because that would mean that if the user deletes the data and defaults (which he has a right to do whenever he or she wishes), and then launches the app, it will be detected as crashed the last time it was quit. So this doesn't work. Any ideas?

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  • Oracle 10g multiple DELETE statements

    - by bmw0128
    I'm building a dml file that first deletes records that may be in the table, then inserts records. Example: DELETE from foo where field1='bar'; DELETE from foo where fields1='bazz'; INSERT ALL INTO foo(field1, field2) values ('bar', 'x') INTO foo(field1, field2) values ('bazz', 'y') SELECT * from DUAL; When I run the insert statement by itself, it runs fine. When I run the deletes, only the last delete runs. Also, it seems to be necessary to end the multiple insert with the select, is that so? If so, why is that necessary? In the past, when using MySQL, I could just list multiple delete and insert statements, all individually ending with a semicolon, and it would run fine.

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  • Writing A Transact SQL (TSQL) Procedure For SQL Server 2008 To Delete Rows From Table Safely

    In this post, we will show and explain a small TSQL Sql Server 2008 procedure that deletes all rows in a table that are older than some specified date.  That is, say the table has 10,000,000 rows in it the accumulated over the past 2 years.  Say you want to delete all but [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Protecting Data from Users

    What is the best way to prevent unintended updates or deletes in a table? The small changes may not be so hard to recover from, but what if every record in the table underwent a change? How can you protect users from themselves and how do you protect yourself from you?

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  • Differences Between NHibernate and Entity Framework

    - by Ricardo Peres
    Introduction NHibernate and Entity Framework are two of the most popular O/RM frameworks on the .NET world. Although they share some functionality, there are some aspects on which they are quite different. This post will describe this differences and will hopefully help you get started with the one you know less. Mind you, this is a personal selection of features to compare, it is by no way an exhaustive list. History First, a bit of history. NHibernate is an open-source project that was first ported from Java’s venerable Hibernate framework, one of the first O/RM frameworks, but nowadays it is not tied to it, for example, it has .NET specific features, and has evolved in different ways from those of its Java counterpart. Current version is 3.3, with 3.4 on the horizon. It currently targets .NET 3.5, but can be used as well in .NET 4, it only makes no use of any of its specific functionality. You can find its home page at NHForge. Entity Framework 1 came out with .NET 3.5 and is now on its second major version, despite being version 4. Code First sits on top of it and but came separately and will also continue to be released out of line with major .NET distributions. It is currently on version 4.3.1 and version 5 will be released together with .NET Framework 4.5. All versions will target the current version of .NET, at the time of their release. Its home location is located at MSDN. Architecture In NHibernate, there is a separation between the Unit of Work and the configuration and model instances. You start off by creating a Configuration object, where you specify all global NHibernate settings such as the database and dialect to use, the batch sizes, the mappings, etc, then you build an ISessionFactory from it. The ISessionFactory holds model and metadata that is tied to a particular database and to the settings that came from the Configuration object, and, there will typically be only one instance of each in a process. Finally, you create instances of ISession from the ISessionFactory, which is the NHibernate representation of the Unit of Work and Identity Map. This is a lightweight object, it basically opens and closes a database connection as required and keeps track of the entities associated with it. ISession objects are cheap to create and dispose, because all of the model complexity is stored in the ISessionFactory and Configuration objects. As for Entity Framework, the ObjectContext/DbContext holds the configuration, model and acts as the Unit of Work, holding references to all of the known entity instances. This class is therefore not lightweight as its NHibernate counterpart and it is not uncommon to see examples where an instance is cached on a field. Mappings Both NHibernate and Entity Framework (Code First) support the use of POCOs to represent entities, no base classes are required (or even possible, in the case of NHibernate). As for mapping to and from the database, NHibernate supports three types of mappings: XML-based, which have the advantage of not tying the entity classes to a particular O/RM; the XML files can be deployed as files on the file system or as embedded resources in an assembly; Attribute-based, for keeping both the entities and database details on the same place at the expense of polluting the entity classes with NHibernate-specific attributes; Strongly-typed code-based, which allows dynamic creation of the model and strongly typing it, so that if, for example, a property name changes, the mapping will also be updated. Entity Framework can use: Attribute-based (although attributes cannot express all of the available possibilities – for example, cascading); Strongly-typed code mappings. Database Support With NHibernate you can use mostly any database you want, including: SQL Server; SQL Server Compact; SQL Server Azure; Oracle; DB2; PostgreSQL; MySQL; Sybase Adaptive Server/SQL Anywhere; Firebird; SQLLite; Informix; Any through OLE DB; Any through ODBC. Out of the box, Entity Framework only supports SQL Server, but a number of providers exist, both free and commercial, for some of the most used databases, such as Oracle and MySQL. See a list here. Inheritance Strategies Both NHibernate and Entity Framework support the three canonical inheritance strategies: Table Per Type Hierarchy (Single Table Inheritance), Table Per Type (Class Table Inheritance) and Table Per Concrete Type (Concrete Table Inheritance). Associations Regarding associations, both support one to one, one to many and many to many. However, NHibernate offers far more collection types: Bags of entities or values: unordered, possibly with duplicates; Lists of entities or values: ordered, indexed by a number column; Maps of entities or values: indexed by either an entity or any value; Sets of entities or values: unordered, no duplicates; Arrays of entities or values: indexed, immutable. Querying NHibernate exposes several querying APIs: LINQ is probably the most used nowadays, and really does not need to be introduced; Hibernate Query Language (HQL) is a database-agnostic, object-oriented SQL-alike language that exists since NHibernate’s creation and still offers the most advanced querying possibilities; well suited for dynamic queries, even if using string concatenation; Criteria API is an implementation of the Query Object pattern where you create a semi-abstract conceptual representation of the query you wish to execute by means of a class model; also a good choice for dynamic querying; Query Over offers a similar API to Criteria, but using strongly-typed LINQ expressions instead of strings; for this, although more refactor-friendlier that Criteria, it is also less suited for dynamic queries; SQL, including stored procedures, can also be used; Integration with Lucene.NET indexer is available. As for Entity Framework: LINQ to Entities is fully supported, and its implementation is considered very complete; it is the API of choice for most developers; Entity-SQL, HQL’s counterpart, is also an object-oriented, database-independent querying language that can be used for dynamic queries; SQL, of course, is also supported. Caching Both NHibernate and Entity Framework, of course, feature first-level cache. NHibernate also supports a second-level cache, that can be used among multiple ISessionFactorys, even in different processes/machines: Hashtable (in-memory); SysCache (uses ASP.NET as the cache provider); SysCache2 (same as above but with support for SQL Server SQL Dependencies); Prevalence; SharedCache; Memcached; Redis; NCache; Appfabric Caching. Out of the box, Entity Framework does not have any second-level cache mechanism, however, there are some public samples that show how we can add this. ID Generators NHibernate supports different ID generation strategies, coming from the database and otherwise: Identity (for SQL Server, MySQL, and databases who support identity columns); Sequence (for Oracle, PostgreSQL, and others who support sequences); Trigger-based; HiLo; Sequence HiLo (for databases that support sequences); Several GUID flavors, both in GUID as well as in string format; Increment (for single-user uses); Assigned (must know what you’re doing); Sequence-style (either uses an actual sequence or a single-column table); Table of ids; Pooled (similar to HiLo but stores high values in a table); Native (uses whatever mechanism the current database supports, identity or sequence). Entity Framework only supports: Identity generation; GUIDs; Assigned values. Properties NHibernate supports properties of entity types (one to one or many to one), collections (one to many or many to many) as well as scalars and enumerations. It offers a mechanism for having complex property types generated from the database, which even include support for querying. It also supports properties originated from SQL formulas. Entity Framework only supports scalars, entity types and collections. Enumerations support will come in the next version. Events and Interception NHibernate has a very rich event model, that exposes more than 20 events, either for synchronous pre-execution or asynchronous post-execution, including: Pre/Post-Load; Pre/Post-Delete; Pre/Post-Insert; Pre/Post-Update; Pre/Post-Flush. It also features interception of class instancing and SQL generation. As for Entity Framework, only two events exist: ObjectMaterialized (after loading an entity from the database); SavingChanges (before saving changes, which include deleting, inserting and updating). Tracking Changes For NHibernate as well as Entity Framework, all changes are tracked by their respective Unit of Work implementation. Entities can be attached and detached to it, Entity Framework does, however, also support self-tracking entities. Optimistic Concurrency Control NHibernate supports all of the imaginable scenarios: SQL Server’s ROWVERSION; Oracle’s ORA_ROWSCN; A column containing date and time; A column containing a version number; All/dirty columns comparison. Entity Framework is more focused on Entity Framework, so it only supports: SQL Server’s ROWVERSION; Comparing all/some columns. Batching NHibernate has full support for insertion batching, but only if the ID generator in use is not database-based (for example, it cannot be used with Identity), whereas Entity Framework has no batching at all. Cascading Both support cascading for collections and associations: when an entity is deleted, their conceptual children are also deleted. NHibernate also offers the possibility to set the foreign key column on children to NULL instead of removing them. Flushing Changes NHibernate’s ISession has a FlushMode property that can have the following values: Auto: changes are sent to the database when necessary, for example, if there are dirty instances of an entity type, and a query is performed against this entity type, or if the ISession is being disposed; Commit: changes are sent when committing the current transaction; Never: changes are only sent when explicitly calling Flush(). As for Entity Framework, changes have to be explicitly sent through a call to AcceptAllChanges()/SaveChanges(). Lazy Loading NHibernate supports lazy loading for Associated entities (one to one, many to one); Collections (one to many, many to many); Scalar properties (thing of BLOBs or CLOBs). Entity Framework only supports lazy loading for: Associated entities; Collections. Generating and Updating the Database Both NHibernate and Entity Framework Code First (with the Migrations API) allow creating the database model from the mapping and updating it if the mapping changes. Extensibility As you can guess, NHibernate is far more extensible than Entity Framework. Basically, everything can be extended, from ID generation, to LINQ to SQL transformation, HQL native SQL support, custom column types, custom association collections, SQL generation, supported databases, etc. With Entity Framework your options are more limited, at least, because practically no information exists as to what can be extended/changed. It features a provider model that can be extended to support any database. Integration With Other Microsoft APIs and Tools When it comes to integration with Microsoft technologies, it will come as no surprise that Entity Framework offers the best support. For example, the following technologies are fully supported: ASP.NET (through the EntityDataSource); ASP.NET Dynamic Data; WCF Data Services; WCF RIA Services; Visual Studio (through the integrated designer). Documentation This is another point where Entity Framework is superior: NHibernate lacks, for starters, an up to date API reference synchronized with its current version. It does have a community mailing list, blogs and wikis, although not much used. Entity Framework has a number of resources on MSDN and, of course, several forums and discussion groups exist. Conclusion Like I said, this is a personal list. I may come as a surprise to some that Entity Framework is so behind NHibernate in so many aspects, but it is true that NHibernate is much older and, due to its open-source nature, is not tied to product-specific timeframes and can thus evolve much more rapidly. I do like both, and I chose whichever is best for the job I have at hands. I am looking forward to the changes in EF5 which will add significant value to an already interesting product. So, what do you think? Did I forget anything important or is there anything else worth talking about? Looking forward for your comments!

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