EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials SQL Tutorial SQLAlchemy Example
Secondary Sidebar
SQL Tutorial
  • SqlAlchemy
    • What is SQLAlchemy
    • SqlAlchemy ORM
    • SQLAlchemy count
    • SQLAlchemy update object
    • SQLAlchemy pip
    • SQLAlchemy Connection
    • SQLAlchemy Metadata
    • SQLAlchemy Raw SQL
    • SQLAlchemy Filter in List
    • SQLAlchemy Alias
    • SQLAlchemy unique
    • SQLAlchemy JSONB
    • SQLAlchemy Async
    • SQLAlchemy Types
    • SQLAlchemy Many to Many
    • SQLAlchemy Example
    • SQLAlchemy Model
    • SQLAlchemy Data Types
    • SQLAlchemy Filter
    • SQLAlchemy SQLite
    • SQLAlchemy DateTime
    • SQLAlchemy create_engine
    • SQLAlchemy Delete
    • SQLAlchemy Migrations
  • Basic
    • What is SQL
    • Careers in SQL
    • Careers in SQL Server
    • IS SQL Microsoft?
    • SQL Management Tools
    • What is SQL Developer
    • Uses of SQL
    • How to Install SQL Server
    • What is SQL Server
    • SQL Quick References
    • SQL Like Wildcard
    • SQL Like with Multiple Values
    • SQL Examples
    • SQL Server Versions
    • SQL DROP DB
    • SQL Case Insensitive
    • SQL Expressions
    • Database in SQL
    • SQL Data Types
    • SQL Keywords
    • Composite Key in SQL
    • SQL WAITFOR
    • SQL Constraints
    • Transactions in SQL
    • First Normal Form
    • SQL Server Data Types
    • SQL Administration
    • SQL Variables
    • SQL Enum
    • SQL GROUP BY WHERE
    • SQL ROW
    • SQL EXECUTE
    • SQL EXCLUDE
    • SQL Performance Tuning
    • SQL UUID
    • Begin SQL
    • SQL Update Join
    • Cheat sheet SQL
  • Operators
    • SQL Operators
    • SQL Arithmetic Operators
    • SQL Logical Operators
    • SQL String Operators
    • Ternary Operator in SQL
  • Commands
    • SQL Commands
    • sqlplus set commands
    • SQL Alter Command
    • SQL Commands Update
    • SQL DML Commands
    • SQL DDL Commands
    • FETCH in SQL
  • Clause
    • SQL Clauses
    • SQL IN Operator
    • SQL SELECT DISTINCT Multiple Columns
    • SQL Null Values
    • SQL LIKE
    • SQL LIKE Query
    • SQL LIKE Operator
    • SQL LIKE Clause
    • SQL NOT Operator
    • SQL Minus
    • SQL WHERE Clause
    • SQL with Clause
    • SQL HAVING Clause
    • SQL HAVING Clause
    • SQL GROUP BY DAY
    • ORDER BY Clause in SQL
    • SQL ORDER BY CASE
    • SQL ORDER BY DESC
    • SQL ORDER BY DATE
    • SQL ORDER BY Alphabetical
    • SQL ORDER BY Ascending
    • SQL Order by Count
    • SQL GROUP BY Month
    • SQL GROUP BY Multiple Columns
    • SQL GROUPING SETS
  • Queries
    • SQL Insert Query
    • SQL SELECT Query
    • SQL SELECT RANDOM
    • SQL Except Select
    • SQL Subquery
    • SQL SELECT DISTINCT
    • SQL WITH AS Statement
  • Keys
    • SQL Keys
    • SQL Foreign Key
    • Primary Key in SQL
    • Foreign Key in SQL
    • Unique Key in SQL
    • SQL UNIQUE Constraint
    • SQL Primary Key
    • Alternate Key in SQL
    • SQL Super Key
  • Functions
    • SQL Date Function
    • SQL Server Functions
    • SQL String Functions
    • SQL Compare String
    • Timestamp to Date in SQL
    • SQL REGEX
    • SQL Window Functions
    • SQL Syntax
    • SQL CONCAT
    • SQL ALTER TABLE
    • SQL MOD()
    • SQL Timestamp
    • SQL Min and Max
    • SQL TO_DATE()
    • SQL DATEADD()
    • SQL DATEDIFF()
    • SQL HOUR()
    • SQLite? functions
    • ANY in SQL
    • LIKE Query in SQL
    • SQL NOT NULL
    • SQL NOT IN
    • SQL MAX()
    • SQL MIN()
    • SQL SUM()
    • SQL COUNT
    • SQL identity
    • SQL DELETE Trigger
    • SQL Declare Variable
    • SQL Text Search
    • SQL COUNT DISTINCT
    • SQL TEXT
    • SQL Limit Order By
    • BETWEEN in SQL
    • LTRIM() in SQL
    • TOP in SQL
    • SQL Select Top
    • Merge SQL
    • SQL TRUNCATE()
    • SQL UNION
    • SQL ALL
    • SQL INTERSECT
    • SQL Alias
    • SQL Server Substring
    • CUBE in SQL
    • SQL RANK()
    • SQL CTE
    • SQL LAG()
    • SQL MID
    • SQL avg()
    • SQL WEEK
    • SQL DELETE
    • SQL DATEPART()
    • SQL DECODE()
    • SQL DENSE_RANK()
    • SQL NTILE()
    • SQL NULLIF()
    • SQL Stuff
    • SQL Ceiling
    • SQL EXISTS
    • SQL LEAD()
    • SQL COALESCE
    • SQL BLOB
    • SQL ROW_NUMBER
    • SQL Server Replace
    • SQL Ranking Function
    • SQL Server Permission
  • T-SQL
    • T-SQL pivot
    • T-SQL Formatter
    • T-SQL TRY CATCH
    • T-SQL CTE
    • T-SQL CASE
    • T-SQL DATEPART
    • T-SQL Date Format
    • T-SQL ROUND
    • T-SQL Loop
    • T-SQL IIF
    • T-SQL Union
    • T-SQL CREATE TABLE
    • T-SQL INSERT
    • T-SQL Stuff
    • T-SQL ISNULL
    • T-SQL ADD Column
    • T-SQL DATEDIFF
  • Joins
    • Join Query in SQL
    • Types of Joins in SQL
    • Types of Joins in SQL Server
    • SQL Inner Join
    • SQL Join Two Tables
    • SQL Delete Join
    • SQL Left Join
    • LEFT OUTER JOIN in SQL
    • SQL Right Join
    • SQL Cross Join
    • SQL Outer Join
    • SQL Full Join
    • SQL Self Join
    • Natural Join SQL
    • SQL Multiple Join
  • Advanced
    • MDF File in SQL Server
    • SQL Aliases
    • SQL Hosting
    • SQL Auto Increment
    • SQL Injection
    • SQL Wildcards
    • SQL Check
    • SQL Indexes
    • Select Distinct
    • SQL BETWEEN
    • SQLPlus spool
    • SQL Create Table
    • SQL Schema
    • Comparison Operators in SQL
    • SQL_plus
    • SQL Formatter
    • SQL LEFT INNER JOIN
    • SQL Plus Command
    • SQLPlus not found
    • SQL Injection Attack
    • Aggregate Functions in SQL
    • SQL REVOKE
    • SQL Select Distinct Count
    • IF ELSE Statement in SQL
    • SQL CASE Statement
    • SQL While Loop
    • SQL BIGINT
    • SQL Crosstab
    • SQL Wildcard Character
    • SQL INSTR()
    • SQL now
    • SQL synonyms
    • SQLite?export to csv
    • What is Procedure in SQL
    • Stored Procedure in SQL?
    • SQL Server Constraints
    • SQL DELETE ROW
    • Column in SQL
    • Table in SQL
    • SQL Virtual Table
    • SQL Merge Two Tables
    • SQL Table Partitioning
    • SQL Temporary Table
    • SQL Clone Table
    • SQL Rename Table
    • SQL LOCK TABLE
    • SQL Clear Table
    • SQL DESCRIBE TABLE
    • SQL Mapping
    • Cursors in SQL
    • AND in SQL
    • Wildcard in SQL
    • SQL FETCH NEXT
    • SQL Views
    • SQL Delete View
    • Triggers in SQL
    • SQL UPDATE Trigger
    • SQL AFTER UPDATE Trigger
    • SQL Update Statement
    • SQL DROP TRIGGER
    • SQL DROP Table
    • Types of SQL Views
    • SQL Port
    • SQL Clustered Index
    • SQL COMMIT
    • Distinct Keyword in SQL
    • PARTITION BY in SQL
    • SQL Set Operators
    • SQL UNION ALL
    • Metadata in SQL
    • SQL Bulk Insert
    • Array in SQL
    • SQL REGEXP
    • JSON in SQL
    • SQL For loop
    • EXPLAIN in SQL
    • ROLLUP in SQL
    • Escape Character SQL
    • SQL Cluster
    • SQL Backup
    • SQL Pattern Matching
    • SQL Users
    • ISNULL SQL Server
    • SQL pivot
    • SQL Import CSV
    • SQL if then else
    • SQL ignore-case
    • SQL Matches
    • SQL Search String
    • SQL Column Alias
    • SQL extensions
    • SQL Substring Function
    • Charindex SQL
  • NoSQL
    • NoSQL Databases List
    • NoSQL Data Modeling
    • Types of NoSQL Databases
    • NoSQL Injection
    • NoSQL vs SQL Databases
    • NoSQL Use Cases
    • NoSQL Key Value
  • Interview Questions
    • SQL Interview Questions
    • Advance SQL Interview Questions
    • SQL Joins Interview Questions
    • SQL Server Interview Questions
    • SQL Current Month

Related Courses

JDBC Training Course

PHP course

Windows 10 Training

SQL Course Training

PL/SQL Certification Courses

Oracle Certification Courses

SQLAlchemy Example

SQLAlchemy Example

Introduction to SQLAlchemy Example

The following article provides an outline for SQLAlchemy Example. The SQLAlchemy is the kind of libraries that can be facilitated through the communication between the python programming languages and the databases with the kind of most wanted libraries that mapped to the Object Relational Mapper[ORM] tool it translated with the python classes on the table rows and columns to the relational databases it automatically converts to the function calls to the every SQL statements in the SQLAlchemy.

ORM Examples

The SQLAlchemy is mainly distributed for various examples, including the select set of patterns with some typical and some not. Is it all runnable and primarily found with the distribution directory, including source codes? The SQLAlchemy will configure the delete-orphan node feature, including the deleted object in the collection when they are parent removed or the parent is deleted. Next, it’s one of the simple functions that require the ORM with a method associated with the python classes with the database tables and the specified instances on the object rows to the corresponding tables. It includes the transparently synchronized system with all the changes in the object state columns and rows.

Then it is mainly referred to as the unit of work with the system expressing database queries in terms of the user-defined classes and their relationship with each other. SQLAlchemy can be used with or without the ORM features with the specified projects that can be chosen like SQLAlchmey core or the ORM with the configurations on the various types of applications software’s stacks and the backend databases. This can be achieved using any designs with valid options depending on the kind of applications for which we are coded. The benefit with many developers that can be accepted with the SQLAlchmey allows them to access the Python codes in the specified project from the application databases.

SQLAlchemy Code and Plain SQL with examples

The SQLAlchemy mainly takes care of the table creation, which would require creating a table statement in the python code for all the records instead of the plain SQL. The queries in python language which more often faster and more accessible for the python developers in the multiple tables and specified filtering fields for the questions to be written more quickly and more accessible for the python developers once the table is created. The best way and most comfortable zone for the SQLAlchemy is mainly digging with the read and write database-driven application resources for the helpful trouble getting information started into some edge cases. It’s the python-based object-relational mapper with several open-source projects. The articles listed on the data make it easier to understand the several implementations using the Django ORM framework, which handles the transactions, models, and queries. Many open-source projects rely on the SQLAlchemy to correctly work with the tools to read the codes defined by the class and functions.

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

It has n number of methods that must be used and called with the different areas. Like that add_columns(), add_entity(), count() and we can add the database drivers in the create_engine() method.

mainly takes care of the table creation

In the above screenshot, we can pass the PostgreSQL database drivers with the specified ports like 5432 as the valid credentials to interact with the SQLAlchemy database. Mainly while creating an engine, it does not connect the databases instantly; when we want to submit the query, it will update the design and update the table rows in the table. The DBAPI is the specification for interacting with the databases in the most common database management systems available for support. PostgreSQL, MySQL, Oracle, Microsoft SQL Server, and SQLite are the most common examples of the SQLAlchemy engines based on documentation. The transaction is the central role of the SQLAlchmey after the dB engine connection; it will perform the operations at some intervals.

we can pass the postgresql database drivers

The above class diagram is the basic workflow of the SQLAlchemy classes to interact with the databases for the user data.

All in One Data Science Bundle(360+ Courses, 50+ projects)
Python TutorialMachine LearningAWSArtificial Intelligence
TableauR ProgrammingPowerBIDeep Learning
Price
View Courses
360+ Online Courses | 50+ projects | 1500+ Hours | Verifiable Certificates | Lifetime Access
4.7 (86,354 ratings)

Example #1

Code:

from SQLAlchemy import Column, Integer, String
from SQLAlchemy import create_engine
engine = create_engine('sqlite:///D:/Mar9.db', echo = True)
from SQLAlchemy.ext.declarative import declarative_base
Base = declarative_base()
class Mar22(Base):
__tablename__ = 'test3'
id = Column(Integer, primary_key = True)
name = Column(String)
from SQLAlchemy.orm import sessionmaker
Session = sessionmaker(bind = engine)
session = Session()
result = session.query(Mar22).all()
for row in result:
print ("Name: ",row.name)

Output:

SQLAlchemy Example 3

Example #2

Code:

from SQLAlchemy import create_engine, ForeignKey, Column, Integer, String
engine = create_engine('sqlite:///sales.db', echo = True)
from SQLAlchemy.ext.declarative import declarative_base
Base = declarative_base()
from SQLAlchemy.orm import relationship
class Fits(Base):
__tablename__ = 'test3'
id = Column(Integer, primary_key = True)
name = Column(String)
class secs(Base):
__tablename__ = 'secndtble'
id = Column(Integer, primary_key = True)
invid = Column(Integer, ForeignKey('test3.id'))
fts = relationship("Fits", back_populates = "secndtble")
Fits.secndtble = relationship("secs", order_by = secs.id, back_populates = "fts")
Base.metadata.create_all(engine)

Output:

SQLAlchemy Example 4

Example #3

Code:

from SQLAlchemy import text
res = engine.execute(
text(
"SELECT id, name \
FROM test3;"
)
)
print(res)

Output:

SQLAlchemy Example 5

Example #4

Code:

from SQLAlchemy import text
res = engine.execute(
text(
"SELECT id, name \
FROM test3 LIMIT 3;"
)
)
print(f"We selected {res.rowcount} rows.")
for a in res.fetchall():
print(a)

Output:

SQLAlchemy Example 6

We used SQLAlchemy in different areas in the above examples and passed the SQLAlchemy package with varying default methods. Initially, we must create the database engine for the specified database to connect the tables for performing the user data operations in the various areas. Additionally, we completed the one-to-one and other relational mappings combined with the SQLAlchemy in the SQLite databases. We should be added the corresponding dependencies and classes for each python script code.

Conclusion – SQLAlchemy Example

The SQLAlchemy is the query execution, and it’s one of the workflow engines for performing particular operations with the boilerplate codes. It must be the standard database connector to estimate the SQL procedures and the query data to fetchAll() the results with the claim data offers.

Recommended Articles

This is a guide to SQLAlchemy Example. Here we discuss the introduction, ORM examples, SQLAlchemy code, and plain SQL. You may also have a look at the following articles to learn more –

  1. SQL ORDER BY DESC
  2. SQL EXECUTE
  3. SQL EXCLUDE
  4. MySQL InnoDB Cluster
Popular Course in this category
JDBC Training (6 Courses, 7+ Projects)
  6 Online Courses |  7 Hands-on Projects |  37+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

PHP Training (5 Courses, 3 Project)4.9
Windows 10 Training (4 Courses, 4+ Projects)4.8
SQL Training Program (7 Courses, 8+ Projects)4.7
PL SQL Training (4 Courses, 2+ Projects)4.7
Oracle Training (14 Courses, 8+ Projects)4.7
0 Shares
Share
Tweet
Share
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

SPSS, Data visualization with Python, Matplotlib Library, Seaborn Package

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more