Executing raw SQL with Entity Framework Core 5

Entity Framework Core 5 is an open-source, lightweight, extensible, and a cross-platform ORM. It is easy to apply and it makes database access super simple. However, sometimes working with tables and views is just not enough. How to execute raw SQL script with Entity Framework Core 5? Let’s find out.

Running the raw SQL

Running a SQL without carrying about the result is quite easy. Have a look at this example:

1

await primeDbContext . Database . ExecuteSqlInterpolatedAsync ( < br /> $ “UPDATE Profiles SET Country = ‘Poland’ WHERE LEFT(TelNo, 2) = ‘48’ AND Id > {minimalProfileId}” );

This SQL updates the Country based on TelNo column for profiles with Id higher then the one provided. It is just a few lines of code and it works perfectly! It also shows how we can pass a parameter to SQL, but you also can format it with curly braces.

Executing a stored procedure

A stored procedure is a perfect example of a SQL, that you might want to run directly on the database, but keep SQL on the database side. Let’s say you already have a stored procedure named UpdateProfilesCountry with one parameter. If you would just like to execute it, you could simply have a code like this:

1

2

await primeDbContext . Database . ExecuteSqlInterpolatedAsync (

$ “UpdateProfilesCountry {minimalProfileId}” );

You don’t need a DbSet to map the results, so you can use DbContext.Database.ExecuteSqlRawAsync and pass parameters if you’d like to.

If you’d like to get the full picture, read the separate article: Execute a stored procedure with Entity Framework Core 5.

#asp.net core for .net 5 & ef core 5 #ef core 5 #primehotel #sql

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PySQL Tutorial: A Database Framework for Python

PySQL 

PySQL is database framework for Python (v3.x) Language, Which is based on Python module mysql.connector, this module can help you to make your code more short and more easier. Before using this framework you must have knowledge about list, tuple, set, dictionary because all codes are designed using it. It's totally free and open source.

Tutorial Video in English (Watch Now)

Installation

Before we said that this framework is based on mysql.connector so you have to install mysql.connector first on your system. Then you can import pysql and enjoy coding!

python -m pip install mysql-connector-python

After Install mysql.connector successfully create Python file download/install pysql on the same dir where you want to create program. You can clone is using git or npm command, and you can also downlaod manually from repository site.

PyPi Command

Go to https://pypi.org/project/pysql-framework/ or use command

pip install pysql-framework

Git Command

git clone https://github.com/rohit-chouhan/pysql

Npm Command

Go to https://www.npmjs.com/package/pysql or use command

$ npm i pysql

Snippet Extention for VS Code

Install From Here https://marketplace.visualstudio.com/items?itemName=rohit-chouhan.pysql

Table of contents

• Connecting a Server
• Create a Database in Server
• Drop Database
• Connecting a Database
• Creating Table in Database
• Drop Table in Database
• Selecting data from Table
• Add New Column to Table
• Modify Column to Table
• Drop Column from Table
• Manual Execute Query
• Inserting data
• Updating data
• Deleting data

Connecting a Server

---

To connect a database with localhost server or phpmyadmin, use connect method to establish your python with database server.

import pysql

db = pysql.connect(
    "host",
    "username",
    "password"
 )

Create a Database in Server

---

Creating database in server, to use this method

import pysql

db = pysql.connect(
    "host",
    "username",
    "password"
 )
 pysql.createDb(db,"demo")
 #execute: CREATE DATABASE demo

Drop Database

---

To drop database use this method .

Syntex Code -

pysql.dropDb([connect_obj,"table_name"])

Example Code -

pysql.dropDb([db,"demo"])
#execute:DROP DATABASE demo

Connecting a Database

---

To connect a database with localhost server or phpmyadmin, use connect method to establish your python with database server.

import pysql

db = pysql.connect(
    "host",
    "username",
    "password",
    "database"
 )

Creating Table in Database

---

To create table in database use this method to pass column name as key and data type as value.

Syntex Code -

pysql.createTable([db,"table_name_to_create"],{
    "column_name":"data_type", 
    "column_name":"data_type"
})

Example Code -

pysql.createTable([db,"details"],{
    "id":"int(11) primary", 
     "name":"text", 
    "email":"varchar(50)",
    "address":"varchar(500)"
})

2nd Example Code -

Use can use any Constraint with Data Value

pysql.createTable([db,"details"],{
    "id":"int NOT NULL PRIMARY KEY", 
     "name":"varchar(20) NOT NULL", 
    "email":"varchar(50)",
    "address":"varchar(500)"
})

Drop Table in Database

---

To drop table in database use this method .

Syntex Code -

pysql.dropTable([connect_obj,"table_name"])

Example Code -

pysql.dropTable([db,"users"])
#execute:DROP TABLE users

Selecting data from Table

---

For Select data from table, you have to mention the connector object with table name. pass column names in set.

Syntex For All Data (*)-

records = pysql.selectAll([db,"table_name"])
for x in records:
  print(x)

Example - -

records = pysql.selectAll([db,"details"])
for x in records:
  print(x)
#execute: SELECT * FROM details

Syntex For Specific Column-

records = pysql.select([db,"table_name"],{"column","column"})
for x in records:
  print(x)

Example - -

records = pysql.select([db,"details"],{"name","email"})
for x in records:
  print(x)
#execute: SELECT name, email FROM details

Syntex Where and Where Not-

#For Where Column=Data
records = pysql.selectWhere([db,"table_name"],{"column","column"},("column","data"))

#For Where Not Column=Data (use ! with column)
records = pysql.selectWhere([db,"table_name"],{"column","column"},("column!","data"))
for x in records:
  print(x)

Example - -

records = pysql.selectWhere([db,"details"],{"name","email"},("county","india"))
for x in records:
  print(x)
#execute: SELECT name, email FROM details WHERE country='india'

Add New Column to Table

---

To add column in table, use this method to pass column name as key and data type as value. Note: you can only add one column only one call

Syntex Code -

pysql.addColumn([db,"table_name"],{
    "column_name":"data_type"
})

Example Code -

pysql.addColumn([db,"details"],{
    "email":"varchar(50)"
})
#execute: ALTER TABLE details ADD email varchar(50);

Modify Column to Table

---

To modify data type of column table, use this method to pass column name as key and data type as value.

Syntex Code -

pysql.modifyColumn([db,"table_name"],{
    "column_name":"new_data_type"
})

Example Code -

pysql.modifyColumn([db,"details"],{
    "email":"text"
})
#execute: ALTER TABLE details MODIFY COLUMN email text;

Drop Column from Table

---

Note: you can only add one column only one call

Syntex Code -

pysql.dropColumn([db,"table_name"],"column_name")

Example Code -

pysql.dropColumn([db,"details"],"name")
#execute: ALTER TABLE details DROP COLUMN name

Manual Execute Query

---

To execute manual SQL Query to use this method.

Syntex Code -

pysql.query(connector_object,your_query)

Example Code -

pysql.query(db,"INSERT INTO users (name) VALUES ('Rohit')")

Inserting data

---

For Inserting data in database, you have to mention the connector object with table name, and data as sets.

Syntex -

data =     {
    "db_column":"Data for Insert",
    "db_column":"Data for Insert"
}
pysql.insert([db,"table_name"],data)

Example Code -

data =     {
    "name":"Komal Sharma",
    "contry":"India"
}
pysql.insert([db,"users"],data)

Updating data

---

For Update data in database, you have to mention the connector object with table name, and data as tuple.

Syntex For Updating All Data-

data = ("column","data to update")
pysql.updateAll([db,"users"],data)

Example - -

data = ("name","Rohit")
pysql.updateAll([db,"users"],data)
#execute: UPDATE users SET name='Rohit'

Syntex For Updating Data (Where and Where Not)-

data = ("column","data to update")
#For Where Column=Data
where = ("column","data")

#For Where Not Column=Data (use ! with column)
where = ("column!","data")
pysql.update([db,"users"],data,where)

Example -

data = ("name","Rohit")
where = ("id",1)
pysql.update([db,"users"],data,where)
#execute: UPDATE users SET name='Rohit' WHERE id=1

Deleting data

---

For Delete data in database, you have to mention the connector object with table name.

Syntex For Delete All Data-

pysql.deleteAll([db,"table_name"])

Example - -

pysql.deleteAll([db,"users"])
#execute: DELETE FROM users

Syntex For Deleting Data (Where and Where Not)-

where = ("column","data")

pysql.delete([db,"table_name"],where)

Example -

#For Where Column=Data
where = ("id",1)

#For Where Not Column=Data (use ! with column)
where = ("id!",1)
pysql.delete([db,"users"],where)
#execute: DELETE FROM users WHERE id=1

--- Finish ---

Change Logs

[19/06/2021]
 - ConnectSever() removed and merged to Connect()
 - deleteAll() [Fixed]
 - dropTable() [Added]
 - dropDb() [Added]
 
[20/06/2021]
 - Where Not Docs [Added]

The module is designed by Rohit Chouhan, contact us for any bug report, feature or business inquiry.

Author: rohit-chouhan
Source Code: https://github.com/rohit-chouhan/pysql
License: Apache-2.0 License

#python 

Introduction to Structured Query Language SQL pdf

SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:

1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.

2. Every database seller needs an approach to separate its item from others.

Right now, contrasts are noted where fitting.

#programming books #beginning sql pdf #commands sql #download free sql full book pdf #introduction to sql pdf #introduction to sql ppt #introduction to sql #practical sql pdf #sql commands pdf with examples free download #sql commands #sql free bool download #sql guide #sql language #sql pdf #sql ppt #sql programming language #sql tutorial for beginners #sql tutorial pdf #sql #structured query language pdf #structured query language ppt #structured query language

Executing raw SQL with Entity Framework Core 5

Entity Framework Core 5 is an open-source, lightweight, extensible, and a cross-platform ORM. It is easy to apply and it makes database access super simple. However, sometimes working with tables and views is just not enough. How to execute raw SQL script with Entity Framework Core 5? Let’s find out.

Running the raw SQL

Running a SQL without carrying about the result is quite easy. Have a look at this example:

1

await primeDbContext . Database . ExecuteSqlInterpolatedAsync ( < br /> $ “UPDATE Profiles SET Country = ‘Poland’ WHERE LEFT(TelNo, 2) = ‘48’ AND Id > {minimalProfileId}” );

This SQL updates the Country based on TelNo column for profiles with Id higher then the one provided. It is just a few lines of code and it works perfectly! It also shows how we can pass a parameter to SQL, but you also can format it with curly braces.

Executing a stored procedure

A stored procedure is a perfect example of a SQL, that you might want to run directly on the database, but keep SQL on the database side. Let’s say you already have a stored procedure named UpdateProfilesCountry with one parameter. If you would just like to execute it, you could simply have a code like this:

1

2

await primeDbContext . Database . ExecuteSqlInterpolatedAsync (

$ “UpdateProfilesCountry {minimalProfileId}” );

You don’t need a DbSet to map the results, so you can use DbContext.Database.ExecuteSqlRawAsync and pass parameters if you’d like to.

If you’d like to get the full picture, read the separate article: Execute a stored procedure with Entity Framework Core 5.

#asp.net core for .net 5 & ef core 5 #ef core 5 #primehotel #sql

Executing raw SQL with Entity Framework Core 5

Entity Framework Core 5 is an open-source, lightweight, extensible, and a cross-platform ORM. It is easy to apply and it makes database access super simple. However, sometimes working with tables and views is just not enough. How to execute raw SQL script with Entity Framework Core 5? Let’s find out.

Running the raw SQL

Running a SQL without carrying about the result is quite easy. Have a look at this example:

1

await primeDbContext . Database . ExecuteSqlInterpolatedAsync ( < br /> $ “UPDATE Profiles SET Country = ‘Poland’ WHERE LEFT(TelNo, 2) = ‘48’ AND Id > {minimalProfileId}” );

This SQL updates the Country based on TelNo column for profiles with Id higher then the one provided. It is just a few lines of code and it works perfectly! It also shows how we can pass a parameter to SQL, but you also can format it with curly braces.

Executing a stored procedure

A stored procedure is a perfect example of a SQL, that you might want to run directly on the database, but keep SQL on the database side. Let’s say you already have a stored procedure named UpdateProfilesCountry with one parameter. If you would just like to execute it, you could simply have a code like this:

1

2

await primeDbContext . Database . ExecuteSqlInterpolatedAsync (

$ “UpdateProfilesCountry {minimalProfileId}” );

You don’t need a DbSet to map the results, so you can use DbContext.Database.ExecuteSqlRawAsync and pass parameters if you’d like to.

If you’d like to get the full picture, read the separate article: Execute a stored procedure with Entity Framework Core 5.

#asp.net core for .net 5 & ef core 5 #ef core 5 #primehotel #sql

Announcing Entity Framework Core (EF Core) 5 RC2

Today, the Entity Framework Core team announces the second release candidate (RC2) of EF Core 5.0. This is a feature complete release candidate of EF Core 5.0 and ships with a “go live” license. You are supported using it in production. This is a great opportunity to start using EF Core 5.0 early while there is still time to fix remaining issues. We’re looking for reports of any remaining critical bugs that should be fixed before the final release.

Prerequisites

EF Core 5.0 will not run on .NET Standard 2.0 platforms, including .NET Framework.

• The release candidates of EF Core 5.0 require .NET Standard 2.1.
• This means that EF Core 5.0 will run on .NET Core 3.1 and does not require .NET 5.
• To summarize: EF Core 5.0 runs on platforms that support .NET Standard 2.1.

How to get EF Core 5.0 Release Candidate 2

EF Core is distributed exclusively as a set of NuGet packages. For example, to add the SQL Server provider to your project, you can use the following command using the dotnet tool:

dotnet add package Microsoft.EntityFrameworkCore.SqlServer --version 5.0.0-rc.2.20475.6

#.net #.net core #.net framework #asp.net #c# #entity framework #announcement #asp.net core #entity framework core