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Closed 10 years ago.
For select queries, which one do you think will be faster in execution among JPA native query (Hibernate or EclipseLink) or JDBC query?
JPA uses JDBC so both queries will be executed exactly the same way, and have the same execution time.
JPA is an abstraction layer for the DB. It allows you to think less about the DB structure and to think more about the objects you persist.
I am sure that If you are using only native queries from JPA you will get almost the same performance as with plain JDBC, because it is passed directly to the JDBC driver.
Related
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Closed 9 years ago.
I want to use No-Sql in my application I think RavenDb and MongoDb are good but which one is more integrated with EF?
and is there any documentation for using theme?
Entity framework is built to support relational databases. It has no support for any no-sql or document databases. And when you think about it, it actually doesn't make too much sense, what is the point of using an object relational mapper and producing a relational mapping of a non-relational database?
There are however libraries which support both of these frameworks available for .Net available via nuget. Im sure these would be much more appropriate for your application
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Closed 9 years ago.
Are there any existing schema template for general web analytics workload, e.g. similar to Google Analytcis, it probably have at least the following tables
users
sites
requests
Since I don't want to re-invent the wheel, I am looking if any existing well defined schema or good relations modeling is suitable for my need.
Any idea?
Remark: I am running on AWS RedShift, but I think most column oriented database should have similar schema.
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Closed 10 years ago.
Where ever I read I see experts writing to stay away from typed datasets and use the entity framework or similar.
On the other hand almost every ado.net book I read will show first how to use datasets and some of them only use datasets, that gives me the impression that its not bad. if it is why teach it for the new programers?
All depends on what you want to do with the data you're pulling from your DB.
I use a DataSet to load data in to a Crystal Report because it plays well together. Anywhere else in my app i use mostly anonymous types. Either way i use the EntityFramework to pull the data from my DB. I get results much faster that way than using ADO.NET and DataSets. If i need raw performance I use ADO.NET. For batch updates for example.
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Closed 10 years ago.
MongoDB is not a relational database nor does the product follow a relational architecture. But for someone coming from the world of RDBMS, I would like to know to what extent does MongoDB support ACID (Atomocity, Consistency, Isolation, Durability). Or should we not evaluate MongoDB from an ACID perspective?
How I love documentation: http://docs.mongodb.org/manual/faq/fundamentals/#does-mongodb-support-transactions and this very site: What does MongoDB not being ACID compliant really mean?
There are ways to support transactions in MongoDB and the go driver even has transactional queries inbuilt into it now.
Here is a brief example of a two phase commit: http://cookbook.mongodb.org/patterns/perform-two-phase-commits/ more complex queries would require more work.
Basically the implications of MongoDBs ACID compliance can be explained via the doc pages and that question mostly.
It is probably one of the most talked about subjects in MongoDB and a quick Google search will give you more information than we could in an answer here.
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Closed 11 years ago.
I have heard that projects that use EF as their ORM mostly fail when they have huge databases and actually objects that are dealing with several mappings at the same time. Is it true that EF is still not quite ready for big enterprises?
Whoever said that didn't spend too much time working with EF. I've worked on/been involved with several projects using EF with very complex database schemas and large amounts of data and we had no issues outside of your normal problems you encounter with any ORM.