what is the difference between entity framework and dapper?
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Dapper describes itself as "micro-ORM" because it provides much less functionality than Entity Framework does. It still counts as an ORM, though, because Dapper allows you to retrieve entity objects from relational tables. ... If Dapper proves popular enough, you should expect more extension libraries to appear.
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While querying data from database, IEnumerable executes select query on server side, load data in-memory on client side and then filter data. Hence does more work and becomes slow. While querying data from database, IQueryable executes select query on server side with all filters. Hence does less work and becomes fast.
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The main difference between Entity Type and Entity Set is that Entity Type refers to the category an entity belongs to while Entity Set refers to all the entities of an entity type. ... In a table, each record is called an entity.
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An object-oriented model uses objects containing stored values to unite the application and database development, while a relational model uses relations. ... Database This report presents the comparison between object oriented database and relational. The difference is mostly in the way the database is used.
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Difference between LINQ to SQL and Entity Framework. LINQ to SQL allow you to query and modify SQL Server database by using LINQ syntax. Entity framework is a great ORM shipped by Microsoft which allow you to query and modify RDBMS like SQL Server, Oracle, DB2 and MySQL etc. ... It cannot generate database from model.
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One major difference between the types of system is that data warehouses are not usually in third normal form (3NF), a type of data normalization common in OLTP environments. Data warehouses are designed to accommodate ad hoc queries and data analysis. ... OLTP systems support only predefined operations.
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An operational database query allows to read and modify operations, while an OLAP query needs only read only access of stored data. An operational database maintains current data. On the other hand, a data warehouse maintains historical data.
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The DBML file is mapping that defines your classes based on your database schema. Yes, it defines your (default) connection string, but it doesn't "configure" your database at all. Linq to Sql uses a database-first approach where you have the database and model your classes after the DB schema.
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When compared to a relational database management system, an object-oriented database stores complex data and relationships between data directly, without mapping to relational rows and columns whereas a relational database stores information in tables with rows and columns.
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Database is a collection of related data that represents some elements of the real world whereas Data warehouse is an information system that stores historical and commutative data from single or multiple sources. Database is designed to record data whereas the Data warehouse is designed to analyze data.
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Entity Framework: Entity Framework happens to be the ORM model and utilizes LINQ to read databases and codes are generated. ADO.Net: ADO.Net happens to be ORM but it creates an elevated abstract object prototype over ADO.Net components. ...
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The difference between the two interfaces lies in the semantic of their methods. The CRUD repository “finds” something whereas the JPA repository “gets” something. While “find” might lead to no result at all, “get” will always return something – otherwise the JPA repository throws an exception.
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The advantage of IEnumerable is deferred execution (usually with databases). The query will not get executed until you actually loop through the data. It's a query waiting until it's needed (aka lazy loading). If you call ToList, the query will be executed, or "materialized" as I like to say.
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LINQ works great in most cases, but when you want to build complex queries (e.g. in reporting apps) it's statically-typed nature becomes a disadvantage. It's hard to, for instance, conditionally JOIN, or conditionally GROUP BY, because the result type changes, even if in the end you want to project the same fields.
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['Overview. The Data Access Object (DAO) pattern is a structural pattern that allows us to isolate the application/business layer from the persistence layer (usually a relational database, but it could be any other persistence mechanism) using an abstract API. ... ', 'A Simple Implementation. ... ', 'Using the Pattern With JPA. ... ', 'Conclusion.']
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The difference is in knowing which one is real, and which one is simply a view of the real thing. In other words, if you delete the real entity (the thing) in the database, the entity bean disintegrates.
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The difference between relational database and object oriented database is that the relational data base stores data in the form of tables which contains rows and columns. ... In the object oriented data the data is stored along with its actions that processes or reads the existing data. These are the basic differences.