Note that you will need to add the reference to the Oracle.ManagedDataAccess.Client package.
Welcome to triksbuddy blog. He we discuss on different technology, tips and tricks, programming, project management and leadership. Here we share technology tutorials, reviews, comparison, listing and many more. We also share interview questions along with answers on different topics and technologies. Stay tuned and connected with us and know new technologies and dig down known ones.
There are different ways we can do same work. With evolution of .net technologies we have found different technologies to perform data operations. Here we will look at different ways of getting a list of employees from SQL Server database using different data access technologies.
Method-1: using ADO.NET
This method retrieves the employee list from the "Employee" table in the SQL Server database using a SELECT query, and maps the data to a list of Employee objects. Note that in this example, the Employee class has properties for the Id, Name, Department, and Salary fields in the database, and the SqlDataReader's Get methods are used to retrieve the values for each field from each record.
Method-2: using ADO.NET async
In this async version of the method, the SqlConnection is opened asynchronously using await connection.OpenAsync(), and the SqlDataReader is created and executed asynchronously using await command.ExecuteReaderAsync(). The while loop that reads the data is also made asynchronous using await reader.ReadAsync(). Note that the using statements are still used to ensure proper disposal of resources.
Method-3: using Dapper
In this async version of the method, the SqlConnection is opened asynchronously using await connection.OpenAsync(). The query is then executed asynchronously using Dapper's QueryAsync method, which returns a list of Employee objects already mapped to the data returned by the SQL query. The using statement is still used to ensure proper disposal of resources.
In this async version of the method, a DbContextOptionsBuilder is used to configure the connection string and then used to create a new DbContext instance. The Set method is used to retrieve the DbSet<Employee>, and then the ToListAsync method is called to execute the query asynchronously and retrieve the Employee objects already mapped to the data returned by the SQL query. The using statement is still used to ensure proper disposal of resources. Note that you will need to add the appropriate NuGet packages and configure EF Core for your specific database provider.
Method-5: LINQ to SQL:
In this async version of the method, a DataContext is used to connect to the database and a Table<Employee> is used to retrieve the table of Employee objects. The ToListAsync method is called on the Table<Employee> to execute the query asynchronously and retrieve the Employee objects already mapped to the data returned by the SQL query. Note that you will need to add the appropriate references to System.Data.Linq and configure the DataContext for your specific database provider. The using statement is still used to ensure proper disposal of resources.
Interface: An interface contains definitions for a group of related functionalities that a non-abstract class or a struct must implement.
Interfaces can contain instance methods, properties, events, indexers, or any combination of those four member types. Interfaces may contain static constructors, fields, constants, or operators.Benefits: Interface helps us to implement all of Object Oriented Programming concepts. There are several benefits of using interfaces in .NET, including:
1. Loose Coupling: Interface allows us developing very loosely coupled system. An interface defines a contract that a class must follow. By using an interface, you can ensure that the class implementing it adheres to a specific set of rules and functionality.
2. Abstraction: Interface helps us developing secured system by implementing abstraction. It is a contract that contains properties and method signatures and implementation is done in inherited class. Thus it helps hiding implementation of internal business logic from external systems.
3. Inheritance: Interface in C# helps to achieve multiple inheritance. C# does not allow multiple class inheritance, but a class can implement multiple interfaces. This allows you to create objects with functionality from multiple sources, without the complications that can arise from multiple inheritance.
4. Polymorphism: Interfaces allow us to define polymorphism in a declarative way, unrelated to implementation. Two elements are polymorphic with respect to a set of behaviors if they realize the same interfaces.
5. Plug and Play: Interfaces are the key to the "plug-and-play" ability of an architecture.
6. Testing: Interfaces enable mocking objects which makes easier and better unit testing.
7. Dependency Injection: Interfaces are great for implementing Inversion of Control or Dependency Injection.
8. Extensibility: We can satisfy extensibility using the interfaces in C#.
9. Parallel Programming: Interfaces enable parallel application development.
10. Code Re usability: An interface can be implemented in multiple classes that enables greater code reuse. This can reduce the amount of code you need to write, and make it easier to modify or update existing code.
In conclusion we can say that using interfaces can help to create more modular, maintainable, and reusable code, while also enabling polymorphism and simplifying testing.
* Beginning with C# 8.0, an interface may define a default implementation for members.
Let's say you have a comma separated string like:
split,a,comma,separated,string
Now you need to convert the string to follow rows:
Solution:
You can create a user defined UDF like the one shown below. Then, just
pass in the comma separated list from another query and it will return a
table with each value in a separate row. The function used here is a table valued function.
CREATE FUNCTION [dbo].[fnSplitStringToTable]
(
@input nvarchar(MAX),
@delimiter char(1) = ','
)
RETURNS
@Result TABLE
(
Value nvarchar(MAX)
)
AS
BEGIN
DECLARE @chIndex int
DECLARE @item nvarchar(MAX)
WHILE CHARINDEX(@delimiter, @input, 0) <> 0
BEGIN
SET @chIndex = CHARINDEX(@delimiter, @input, 0)
SELECT @item = SUBSTRING(@input, 1, @chIndex - 1)
IF LEN(@item) > 0
BEGIN
INSERT INTO @Result(Value)
VALUES (@item)
END
SELECT @input = SUBSTRING(@input, @chIndex + 1, LEN(@input))
END
IF LEN(@input) > 0
BEGIN
INSERT INTO @Result(Value)
VALUES (@input)
END
RETURN
END
Here is how you can execute the function and produce results as expected:
Data mining is defined as the process of discovering patterns in data. The process must be automatic or (more usually) semiautomatic. The patterns discovered must be meaningful in that they lead some advantage, usually an economic one.
Data mining have two major functions:
1. Classification:
2. Clustering:
Machine Learning:
Machine learning provides the technical basis of data mining. It is a branch of artificial intelligence, which concerns the construction and study of systems that can learn from data.
For example, a machine learning system could be trained on email messages to learn to distinguish between spam and non-spam messages. After learning, it can then be used to classify new email messages into spam and non-spam folders.
Types of Machine Learning:
Supervised learning is basically a synonym of classification. The supervision in the learning comes from the labeled instances in the training data.
Unsupervised learning is essentially a synonym of clustering. The learning process is unsupervised since the input instances are not class labeled.
Semi-supervised learning is a class of machine learning technology that make use of both labeled and unlabelled instances when learning a model.
Active learning is a machine learning approach that lets users play an active role in the learning process. An active learning approach can ask a user (e.g., a domain expert) to label an instance, which may be from a set of unlabelled instances.
Data mining is also known as Knowledge Discovery from Data, or KDD for short, which turns a large collection of data into knowledge. Data mining is a multidisciplinary field including machine learning, artificial intelligence, pattern recognition, knowledge-based systems, high-performance computing, database technology, and data visualization.
Data, Information, and Knowledge
Data: Data are any recorded facts, numbers, or text that can be processed by a computer - scientific data, medical data, demographic data, financial data, and marking data.
Information: The patterns, associations, or relationships among all this data can provide information.
Knowledge: Information can be converted into knowledge about historical patterns and future trends.
What Kinds of Data can be Mined?
The most basic forms of data for mining are come from:
SQL update from one Table to another based on a ID match
While working with SQL database you might often require to update one table data based on values of a column value in another table. For this to be done successfully you might require a common id field or foreign key which will match values of both tables to update.
Here is the syntax to perform the task in SQL Server:
UPDATE table1
SET t1.Col = t2.Col
FROM
table1 t1
INNER JOIN table2 t2
ON t1.ID = t2.ID;
To demonstrated this let us assume we have following two tables:
Place
===========
PlaceId int,
name nvarchar(200),
ispublished bit
PlaceDetails
==============
PlaceDetailId int,
PlaceId int,
DetailsDesc nvarchar(max),
SeoTitle nvarchar(max),
SeoDescription nvarchar(max),
status bit
Case 1: Update status field of PlaceDetails from values of ispublished in Place table.
Solution:
UPDATE PlaceDetails
SET d.status = p.ispublished
FROM PlaceDetails d
Case 2: Update status field of PlaceDetails from values of ispublished in Place table only for the places that are published.
Solution: You require to add a where condition along with previous query for this purpose.
UPDATE PlaceDetails
SET d.status = p.ispublished
FROM PlaceDetails d
INNER JOIN Place p ON d.PlaceId = p.PlaceId
WHERE p.ispublished='True';
Case 3: Update SeoTitle and SeoDescription field of PlaceDetails for a specific placetypes
Solution: This is a complex implementation of the query that allows you to update a table values based on a complex query result. For this purpose we consider some more tables.
The following query is used to generate SEO Titile and SEO Description information for all of the places of a category:
SELECT p.PlaceId, p.name, 'Book a room in ' + p.name +', '+ c.Name+' | addressschool.com',
p.name +' is a '+ t.Name+' in '+c.Name+', '+n.Name +' that is located in '+d.formatted_address
FROM Place AS p INNER JOIN
PlaceDetail AS d ON p.PlaceId = d.PlaceId INNER JOIN
City AS c ON p.CityId = c.Id inner join
PlaceType t on p.PlaceTypeId = t.Id INNER JOIN
Country AS n ON p.CountryId = n.Id
WHERE (p.PlaceTypeId = 1)
Now we use the above query as a inline view in the update statement to update SeoTitle and SeoDescription information in PlaceDetails table:
UPDATE
PlaceDetail
SET
PlaceDetail.name = SR.SeoTitle,
PlaceDetail.url = SR.SeoDescription
FROM
PlaceDetail pd
INNER JOIN
(SELECT p.PlaceId, p.name, 'Book a room in ' + p.name +', '+ c.Name+' | addressschool.com' as SeoTitle,
p.name +' is a '+ t.Name+' in '+c.Name+', '+n.Name +' that is located in '+d.formatted_address as SeoDescription
FROM Place AS p INNER JOIN
PlaceDetail AS d ON p.PlaceId = d.PlaceId INNER JOIN
City AS c ON p.CityId = c.Id inner join
PlaceType t on p.PlaceTypeId = t.Id INNER JOIN
Country AS n ON p.CountryId = n.Id
WHERE (p.PlaceTypeId = 1)) SR
ON
pd.PlaceId = SR.PlaceId;
Hope this will help you.
Any query and comments will be appreciated and answered.