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Introduction to SQL
A little bit of about our group and me
 Research Computing services, visit http://rcs.bu.edu for more info
 Consulting
 Teaching
 Graphics
 Optimization
 Experience:
 Database programming
 Software development
Tutorial Outlines
 What is SQL
 SQL History
 Terminology By Examples
 SQL Syntax By Examples
 SQL Category
 Small yet worth noting
points
 Tutorial sample db overview
 Schema of the sample db
 Data of the sample db
 Hands on Tutorial Setup
SCC Research Data Metrics
3
03/18/2025
What is SQL ( ‘Structured Query Language’ )?
 SQL stands for ‘Structured Query Language’
 SQL is domain-specific language, NOT a general programming language
 SQL is specialized to handle ‘structured data’ that follows relational
model – data that incorporates relations among entities and variables.
 Used to interact with relational databases to manage data: create,
populate, modify, or destroy data. Also can manage data access
SQL is a standard language
 Nevertheless, SQL is a ‘language’. It has its language specification – a set
of language elements, rules and syntax
 Rigid and structural:
 Since the underlying data model is structural, SQL is very ‘structural’
too - requiring rigid predefined schema as compared with those of
‘noSQL’
 Syntax and grammar is also strict
 SQL specific features – triggers, stored procedures
History of SQL
 First developed in 1970s by two scientists at IBM following a theory of
‘relational algebra’ by Edgar F. Codd, who was also an IBM scientist.
 First commercial implementation of SQL-based RDMBS was Oracle’s V2.
 First adopted by ANSI in 1986, and ISO in 1987 as standard.
 The latest version of the SQL standard is from 2016. There have been
very many versions in between.
 Though standardized, this does not necessarily mean SQL code can be
migrated between different RDBMS seamlessly (Why?)
Terminology - Structure
 Database
 Table
 Column
 Row
 Relation
 Primary key
 Foreign key
Take sample_ecomm.db as an Example - schema
Customer
Terminology - SQL Language Elements
 Clause
 Statement
 Query
 Function
 Stored Procedure
 Predicate
 Expression
 Keyword
 Identifier
A SQL Example From Wikipedia
A chart showing several of the SQL language elements that compose a single statement
(source: https://wikimedia.org/api/rest_v1/media/math/render/svg/b83ad563285f7b0ebb325226d91f25ca0bffa7cd )
Our Own Query Example
SELECT FirstName, LastName -- SELECT clause
FROM Customer -- FROM clause
WHERE Id=1 – WHERE Clause
Clean way:
SELECT FirstName, LastName FROM Customer WHERE Id=1
Complete Query Statement Syntax – Order Matters !
Clause Priority Required?
SELECT <columns> 5. Mandatory 
FROM <table> 1. Mandatory 
WHERE <predicate on rows> 2. Optional 
GROUP BY <columns> 3. Optional 
HAVING <predicate on groups> 4. Optional, work with GROUP BY
ORDER BY <columns> 6. Optional 
OFFSET 7. Optional
FETCH FIRST 8. Optional
SQL Category
1. Data Query Language (DQL) - used to query data
2. Data Manipulation Language (DML) – used to create/modify/destroy data
3. Data Definition Language (DDL) – used to define database schema
4. Data Control Language (DCL) – used for security and access control
Most Important SQL Statements
 SELECT - extracts data from a database (DQL)
 UPDATE - updates data in a database (DML)
 DELETE - deletes data from a database (DML)
 INSERT - inserts new data into a database (DML)
 CREATE DATABASE - creates a new database (DDL)
 CREATE TABLE - creates a new table (DDL)
 DROP TABLE - deletes a table (DDL)
SCC Research Data Metrics
15
03/18/2025
Attention Please !
1. SQL keywords and table/column names are NOT case sensitive: ‘select’ and ‘SELECT’ are the
same
2. The values stored in a table can be case-sensitive – depending on configuration
3. Usually single quotes (‘’) or double quotes (“”) don’t matter, but could be configured otherwise
4. Semicolon ‘;’ is the standard way to separate SQL statements. It can be required in some
DBMS to end each statement with a ‘;’ even after a single statement
5. Comments can be used to make SQL more readable. Usually ‘--’ for single line comment, and
‘/*’ and ’*/’ for multiline comments. Add ‘--’ at the beginning to indicate a comment line
6. Standard is NOT STANDARD – none of SQL standard is fully implemented by all vendors. Pay
attention to the differences that each vendor’s implementation have from the SQL ‘standard’
In this Tutorial
 We will use all upper-case for all keywords
 We will use double quotes “” to indicate strings
 We will end each SQL statement with a ‘;’
Keywords Used in this Tutorial
 SELECT
 *
 FROM
 ORDER BY
 ASC
 DESC
 AND
 OR
 NOT
 WHERE
 LIMIT
 DISTINCT
 AS
 GROUP BY
 INNER JOIN
 ON
 !=
 INSERT
 UPDATE
 DELETE
 CREATE
 TABLE
 LIKE
 %
 INTO
 VALUES
 DROP
Functions Used in this Tutorial
 COUNT()
 MIN()
 MAX()
 AVG()
 SUM()
 REPLACE()
Hands On Demo
Basic SELECT + WHERE
Aggregation SELECT + GROUP BY
JOIN SELECT + JOIN
WRITE Queries INSERT/UPDATE/DELETE
Tutorial Tools and Files Overview
DB GUI : DBBrowser for SQLite
- sufficient yet simple/clean interface for demo purpose
- SQLite engine is already embedded in this tool
Sample DB: sample_ecomm.db
- a simple example e-commerce db. We will explore it a bit more …
sample_ecomm.db preview
sample_ecomm.db preview – Customer
sample_ecomm.db preview – Supplier
sample_ecomm.db preview – Product
sample_ecomm.db preview – OrderHead
sample_ecomm.db preview – OrderItem
Customer
OrderHead
OrderItem
Product
Supplier
Tutorial Setup
All the tutorial files can be accessed from:
http://www.bu.edu/tech/support/research/training-consulting/live-tutorials/
Tutorial Setup Instruction is at the following subdirectory:
Intro2SQLpresentationinstr_tutorialSetup_vdi.docx
Tutorial Software - using BU’s Common Lab Apps. It can be accessed at:
https://rdweb.wvd.microsoft.com/arm/webclient/index.html
Some Extra Info:
 The following is some extra information you may be
interested in:
SCC Research Data Metrics
34
03/18/2025
GUI tool is not the only way!
A GUI tool like DB Browser is not the only way to
access databases!
There could be many other ways! The following are
the two ways:
SQLite Programming Interface - Python
SQLite Programming Interface - R
Useful Resources:
 This tutorial materials:
http://www.bu.edu/tech/support/research/training-consulting/live-tutorials/
 W3Schools SQL tutorial: https://www.w3schools.com/sql/
 Khan Academy:
https://www.khanacademy.org/computing/computer-programming/sql
SCC Research Data Metrics
38
03/18/2025

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introduction to SQL query language beginner.ppt

  • 2. A little bit of about our group and me  Research Computing services, visit http://rcs.bu.edu for more info  Consulting  Teaching  Graphics  Optimization  Experience:  Database programming  Software development
  • 3. Tutorial Outlines  What is SQL  SQL History  Terminology By Examples  SQL Syntax By Examples  SQL Category  Small yet worth noting points  Tutorial sample db overview  Schema of the sample db  Data of the sample db  Hands on Tutorial Setup SCC Research Data Metrics 3 03/18/2025
  • 4. What is SQL ( ‘Structured Query Language’ )?  SQL stands for ‘Structured Query Language’  SQL is domain-specific language, NOT a general programming language  SQL is specialized to handle ‘structured data’ that follows relational model – data that incorporates relations among entities and variables.  Used to interact with relational databases to manage data: create, populate, modify, or destroy data. Also can manage data access
  • 5. SQL is a standard language  Nevertheless, SQL is a ‘language’. It has its language specification – a set of language elements, rules and syntax  Rigid and structural:  Since the underlying data model is structural, SQL is very ‘structural’ too - requiring rigid predefined schema as compared with those of ‘noSQL’  Syntax and grammar is also strict  SQL specific features – triggers, stored procedures
  • 6. History of SQL  First developed in 1970s by two scientists at IBM following a theory of ‘relational algebra’ by Edgar F. Codd, who was also an IBM scientist.  First commercial implementation of SQL-based RDMBS was Oracle’s V2.  First adopted by ANSI in 1986, and ISO in 1987 as standard.  The latest version of the SQL standard is from 2016. There have been very many versions in between.  Though standardized, this does not necessarily mean SQL code can be migrated between different RDBMS seamlessly (Why?)
  • 7. Terminology - Structure  Database  Table  Column  Row  Relation  Primary key  Foreign key
  • 8. Take sample_ecomm.db as an Example - schema
  • 10. Terminology - SQL Language Elements  Clause  Statement  Query  Function  Stored Procedure  Predicate  Expression  Keyword  Identifier
  • 11. A SQL Example From Wikipedia A chart showing several of the SQL language elements that compose a single statement (source: https://wikimedia.org/api/rest_v1/media/math/render/svg/b83ad563285f7b0ebb325226d91f25ca0bffa7cd )
  • 12. Our Own Query Example SELECT FirstName, LastName -- SELECT clause FROM Customer -- FROM clause WHERE Id=1 – WHERE Clause Clean way: SELECT FirstName, LastName FROM Customer WHERE Id=1
  • 13. Complete Query Statement Syntax – Order Matters ! Clause Priority Required? SELECT <columns> 5. Mandatory  FROM <table> 1. Mandatory  WHERE <predicate on rows> 2. Optional  GROUP BY <columns> 3. Optional  HAVING <predicate on groups> 4. Optional, work with GROUP BY ORDER BY <columns> 6. Optional  OFFSET 7. Optional FETCH FIRST 8. Optional
  • 14. SQL Category 1. Data Query Language (DQL) - used to query data 2. Data Manipulation Language (DML) – used to create/modify/destroy data 3. Data Definition Language (DDL) – used to define database schema 4. Data Control Language (DCL) – used for security and access control
  • 15. Most Important SQL Statements  SELECT - extracts data from a database (DQL)  UPDATE - updates data in a database (DML)  DELETE - deletes data from a database (DML)  INSERT - inserts new data into a database (DML)  CREATE DATABASE - creates a new database (DDL)  CREATE TABLE - creates a new table (DDL)  DROP TABLE - deletes a table (DDL) SCC Research Data Metrics 15 03/18/2025
  • 16. Attention Please ! 1. SQL keywords and table/column names are NOT case sensitive: ‘select’ and ‘SELECT’ are the same 2. The values stored in a table can be case-sensitive – depending on configuration 3. Usually single quotes (‘’) or double quotes (“”) don’t matter, but could be configured otherwise 4. Semicolon ‘;’ is the standard way to separate SQL statements. It can be required in some DBMS to end each statement with a ‘;’ even after a single statement 5. Comments can be used to make SQL more readable. Usually ‘--’ for single line comment, and ‘/*’ and ’*/’ for multiline comments. Add ‘--’ at the beginning to indicate a comment line 6. Standard is NOT STANDARD – none of SQL standard is fully implemented by all vendors. Pay attention to the differences that each vendor’s implementation have from the SQL ‘standard’
  • 17. In this Tutorial  We will use all upper-case for all keywords  We will use double quotes “” to indicate strings  We will end each SQL statement with a ‘;’
  • 18. Keywords Used in this Tutorial  SELECT  *  FROM  ORDER BY  ASC  DESC  AND  OR  NOT  WHERE  LIMIT  DISTINCT  AS  GROUP BY  INNER JOIN  ON  !=  INSERT  UPDATE  DELETE  CREATE  TABLE  LIKE  %  INTO  VALUES  DROP
  • 19. Functions Used in this Tutorial  COUNT()  MIN()  MAX()  AVG()  SUM()  REPLACE()
  • 20. Hands On Demo Basic SELECT + WHERE Aggregation SELECT + GROUP BY JOIN SELECT + JOIN WRITE Queries INSERT/UPDATE/DELETE
  • 21. Tutorial Tools and Files Overview DB GUI : DBBrowser for SQLite - sufficient yet simple/clean interface for demo purpose - SQLite engine is already embedded in this tool Sample DB: sample_ecomm.db - a simple example e-commerce db. We will explore it a bit more …
  • 33. Tutorial Setup All the tutorial files can be accessed from: http://www.bu.edu/tech/support/research/training-consulting/live-tutorials/ Tutorial Setup Instruction is at the following subdirectory: Intro2SQLpresentationinstr_tutorialSetup_vdi.docx Tutorial Software - using BU’s Common Lab Apps. It can be accessed at: https://rdweb.wvd.microsoft.com/arm/webclient/index.html
  • 34. Some Extra Info:  The following is some extra information you may be interested in: SCC Research Data Metrics 34 03/18/2025
  • 35. GUI tool is not the only way! A GUI tool like DB Browser is not the only way to access databases! There could be many other ways! The following are the two ways:
  • 38. Useful Resources:  This tutorial materials: http://www.bu.edu/tech/support/research/training-consulting/live-tutorials/  W3Schools SQL tutorial: https://www.w3schools.com/sql/  Khan Academy: https://www.khanacademy.org/computing/computer-programming/sql SCC Research Data Metrics 38 03/18/2025

Editor's Notes

  • #8: When write SQL, you must be very clear about the underlying table structure. Here is the ERD for sample_ecomm.db. It shows the overall structure and relationships of tables it has.
  • #9: When write SQL, you must be very clear about the underlying table structure. Here is the ERD for sample_ecomm.db. It shows the overall structure and relationships of tables it has.
  • #21: SQLite is a serverless, in-memory db engine. It doesn’t have its GUI by itself. Many other companies step up to fill the blank. DBBrowser is one of them. Almost all major database engines provide programming APIs for application developers to get access to database through programming interfaces.
  • #22: When write SQL, you must be very clear about the underlying table structure. Here is the ERD for sample_ecomm.db. It shows the overall structure and relationships of tables it has.
  • #28: When write SQL, you must be very clear about the underlying table structure. Here is the ERD for sample_ecomm.db. It shows the overall structure and relationships of tables it has.
  • #29: When write SQL, you must be very clear about the underlying table structure. Here is the ERD for sample_ecomm.db. It shows the overall structure and relationships of tables it has.
  • #30: When write SQL, you must be very clear about the underlying table structure. Here is the ERD for sample_ecomm.db. It shows the overall structure and relationships of tables it has.
  • #31: When write SQL, you must be very clear about the underlying table structure. Here is the ERD for sample_ecomm.db. It shows the overall structure and relationships of tables it has.
  • #32: When write SQL, you must be very clear about the underlying table structure. Here is the ERD for sample_ecomm.db. It shows the overall structure and relationships of tables it has.
  • #35: SQLite is a serverless, in-memory db engine. It doesn’t have its GUI by itself. Many other companies step up to fill the blank. DBBrowser is one of them. Almost all major database engines provide programming APIs for application developers to get access to database through programming interfaces.