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SQL SERVER – BASIC 1 - Training
2020, Rendi
Related Papers
Leopoldo Flores
Isromi Janwar
Samy S Abu Naser
These days, the utilization of innovation to improve educating and learning is expanding quickly. Intelligent Tutoring Systems (ITS) is one of method that uses artificial intelligence techniques to represent a form of computer-based training in which the system uses a knowledge base to provide guidance to the student as the student interacts with the system. In this paper, we plan and create SQL (Structured Query Language) Intelligent Tutoring Systems for beginner understudies in programming SQL, which understudies need to specialize in information base track. The framework gives all themes of SQL and creates a few inquiries for every subject and the understudies should answer these inquiries accurately to move to the following level, the SQL coach concentrate on utilizing video, sound and pictures to make learning process simpler.
Alex Pereira
explains window functions. See page 21. No! to SQL and
International Journal of Innovative Research in Science, Engineering and Technology
Sourav Mukherjee
Following best practices, while writing SQL code is important. In most of the cases, the coding has not met the standard and database script computer agendas are deserted. Those who are beginners in SQL server and the experts, following the best practices would be highly benefited. Coding is always a fun but challenging job. It is not only about producing the desired result as required by the business requirement but also a mandatory requirement to maintain the correct coding standards by using the optimum requirement of variable size, indexes and other key parameters to maintain the best coding practices. This article gives an overview of best practices in SQL server and guidelines. Many of us already have been following the best practices but the document will narrate the salient points to be considered while developing any code to get the optimum results to keep the Microsoft defined standards intact.
Advanced Transact-SQL for SQL Server 2000
Irais Jañez
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Educational SQL resources
Tutorials, quickstarts, and other educational resources meant to teach you to work with SQL Server and Azure SQL Database.
- Azure SQL for beginners
- Azure SQL fundamentals
- Azure SQL hands-on labs
- Azure SQL bootcamp
- LinkedIn Learning
- Pluralsight
- Upgrade SQL Server
- Use the Query Tuning Assistant
- SQL Server workshops
- Connect & query with Azure Data Studio
- Connect & query with SSMS
- Writing Transact-SQL (T-SQL)
- Extended events
- Backup & restore on-premises
- Backup & restore to Azure Blob Storage
- Availability group
- Transactional replication
- Merge replication
- Create in-memory table
- Sign stored procedure with certificate
- Azure Blob Storage
- Database tuning advisor
Architecture
- Index architecture & design
- Pages & extents architecture
- Post migration validation & optimization
- Query processing Architecture
- Thread & task architecture
- Transaction log architecture
- Transaction locking & row versioning
- Memory management architecture
SQL Server on Azure VM (IaaS)
- Create VM with portal
- Create VM with PowerShell
How-To Guide
- Register with resource provider
- Configure availability group with Az CLI
- Create FCI using premium file share
- Use Azure Storage for backup & restore
Azure SQL Database (PaaS)
- Choose data storage approach
- Secure SQL Database
- Geographically distributed app
- ASP.NET App to query SQL Database
- Create DB with portal or code
- Create DB with template
- Configure Server-level IP firewall rules
- Migrate using Azure Database Migration Service
- Add single DB to a failover group
- Add elastic pool to a failover group
- Configure active geo-replication
- Configure security
SQL Server on Linux
- Introduction
- Automatically tune
- Migrate from Windows
- Migrate to Linux containers
- Create a job
- Setup Active Directory authentication
- Configure FCI
- Deploy a Pacemaker cluster
- Create & configure availability group
- Deploy container cluster on Azure
- Configure replication
Azure SQL Managed Instance (PaaS)
- Create instance with portal
- Create instance with PowerShell
- Create instance pool
- Configure public endpoint
- Connect a client VM
- Configure point-to-site connection
- Restore database backup
- Configure transactional replication
- Add to a failover group
- Migrate on-premises users and groups
- Preferences
SQL Tutorial - PowerPoint PPT Presentation
SQL Tutorial
Beginner lessons in structured query language (sql) used to manage database records. presentation by hitesh sahni ( www.hiteshsahni.com ) – powerpoint ppt presentation.
- By Hitesh Sahni
- www.hiteshsahni.com
- Overview of SQL (This may be review for some of you)
- Data Definition Language
- Creating tables (well just talk about this)
- Data Manipulation Language
- Inserting/Updating/Deleting data
- Retrieving data
- Single table queries
- SQL is a data manipulation language.
- SQL is not a programming language.
- SQL commands are interpreted by the DBMS engine.
- SQL commands can be used interactively as a query language within the DBMS.
- SQL commands can be embedded within programming languages.
- Data Definition Language (DDL)
- Commands that define a database - Create, Alter, Drop
- Data Manipulation Language (DML)
- Commands that maintain and query a database.
- Data Control Language (DCL)
- Commands that control a database, including administering privileges and committing data.
- Four basic commands
- SQLgtROLLBACK
- Rollback complete.
- REVERSES ALL CHANGES TO DATA MADE DURING YOUR SESSION
- SQLgtCOMMIT
- MAKES ALL CHANGES TO THIS POINT PERMANENT
- POINTS AT WHICH COMMIT IS ISSUED, DEFINE EXTENT OF ROLLBACK
- ROLLBACK REVERSES EVERY CHANGE SINCE THE LAST COMMIT
- EXITING SQLPLUS ISSUES A COMMIT
- SELECT column_name, column_name,
- FROM table_name
- WHERE condition/criteria
- This statement will retrieve the specified field values for all rows in the specified table that meet the specified conditions.
- Every SELECT statement returns a recordset.
- Semantics of an SQL query defined in terms of the following conceptual evaluation strategy
- Compute the cross-product of relation-list.
- Discard resulting tuples if they fail qualifications.
- Delete attributes that are not in target-list.
- If DISTINCT is specified, eliminate duplicate rows.
- This strategy is probably the least efficient way to compute a query! An optimizer will find more efficient strategies to compute the same answers.
- - All columns in a table
- SELECT EmployeeID, LastName, FirstName, BirthDate AS DOB FROM Employee
- SELECT EmployeeID, LastName, FirstName, FROM Employee AS E
- Dot Notation - ambiguous attribute names
- SELECT Customer.LName, E.Lname
- FROM Customer, Employee AS E
- Arithmetic operators , -, , /
- Comparison operators , gt, gt, lt, lt, ltgt
- Concatenation operator
- Substring comparisons , _
- ORDER BY Clause
- UNION, EXCEPT, INTERSECT
- SQL provides two ways to retrieve data from related tables
- Join - When two or more tables are joined by a common field.
- Subqueries - When one Select command is nested within another command.
- The WHERE clause is used to specify the common field.
- For every relationship among the tables in the FROM clause, you need one WHERE condition (2 tables - 1 join, 3 tables - 2 joins)
- Inner Join - records from two tables are selected only when the records have the same value in the common field that links the tables (the default join).
- Outer Join - A join between two tables that returns all the records from one table and, from the second table, only those records in which there is a matching value in the field on which the tables are joined.
- Plan your joins
- Draw a mini-ERD to show what tables are involved.
- Count the number of tables involved in the SELECT query.
- The number of joins is always one less than the number of tables in the query.
- Watch out for ambiguous column names.
- These functions are applied to a set(s) of records/rows and return one value for each set.
- These functions thus aggregate the rows to which they are applied.
- If one field in a Select clause is aggregated, all fields in the clause must be aggregated.
- Aggregation The process of transforming data from a detail to a summary level.
- You can aggregate a field by including it after the GROUP BY clause or by making it the argument of an aggregating function.
- When you use GROUP BY, every field in your recordset must be aggregated in some manner.
- The same rule applies when you use an aggregating function such as SUM, COUNT, AVERAGE . If one field in the Select clause is aggregated, then every other field in the Select clause must be aggregated in some manner.
- Additional SQL Clause - HAVING
- The HAVING clause is only used after the GROUP BY clause.
- The HAVING clause specifies criteria for a GROUP, similar to how the WHERE clause specifies criteria for individual rows.
- SELECT - list of attributes and functions
- FROM - list of tables
- WHERE - conditions / join conditions
- GROUP BY - attributes not aggregated in select clause
- HAVING - group condition
- ORDER BY - list of attributes
- ISM6217 - Advanced Database
- Subqueries (Nested queries)
- Correlated subquery
- Inner/outer
- Integrity constraints
- Scripts to create and populate the database are available on the 6217 Web site.
- A subquery is a query that is used in the WHERE condition of another query
- AKA Nested query
- Can be multiple levels of nesting
- Can be used with SELECT, INSERT, UPDATE
- List all suppliers who can deliver at least one product in less than 10 days
- List all suppliers who can deliver a product in less than the average delivery time.
- LIST SUP_NO, PART, DEL FOR QUOTES WHERE DEL gt ANY SUPPLIED BY 71
- LIST SUP_NO, PART, DEL FOR QUOTES WHERE DEL gt ALL SUPPLIED BY 71
- Who are alternate suppliers for parts supplied by 71?
- List all suppliers who have not provided a quote
- A correlated subquery is a subquery that is evaluated once for each row processed by the parent statement. The parent statement can be a SELECT, UPDATE, or DELETE statement. These examples show the general syntax of a correlated subquery
- List all suppliers, parts and prices where quoted price is less than the average quote for that part.
- Natural join/inner join
- This is what youre used to.
- Returns only rows where PK and FK values match.
- Does not repeat PK/FK columns
- Similar to natural join, but includes both PK and FK values in record set.
- Includes columns with null FK values
- Problem Inner join will not return a row that does not have a matching value.
- Sometimes this prevents you from getting the output you want.
- Example List all parts (including description) and any quotes that exist for each part. We want to include all parts even if there are no quotes for some of them.
- SELECT I.PART_NO, DESCRIPTION, SUPPLIER_NO, PRICE
- FROM INVENTORY I, QUOTATIONS Q
- WHERE I.PART_NO Q.PART_NO ()
- ORDER BY I.PART_NO
- WHERE I.PART_NO () Q.PART_NO
- Field values in a tuple are sometimes unknown (e.g., a rating has not been assigned) or inapplicable (e.g., no spouses name).
- SQL provides a special value null for such situations.
- The presence of null complicates many issues. E.g.
- Special operators needed to check if value is/is not null.
- Is ratinggt8 true or false when rating is equal to null? What about AND, OR and NOT connectives?
- We need a 3-valued logic (true, false and unknown).
- Meaning of constructs must be defined carefully. (e.g., WHERE clause eliminates rows that dont evaluate to true.)
- New operators (in particular, outer joins) possible/needed.
- An IC describes conditions that every legal instance of a relation must satisfy.
- Inserts/deletes/updates that violate ICs are disallowed.
- Can be used to ensure application semantics (e.g., sid is a key), or prevent inconsistencies (e.g., sname has to be a string, age must be lt 200)
- Types of ICs Domain constraints, primary key constraints, foreign key constraints, general constraints.
- Domain constraints Field values must be of right type. Always enforced.
- Useful when more general ICs than keys are involved.
- Can use queries to express constraint.
- Constraints can be named.
- Awkward and wrong!
- If Sailors is empty, the number of Boats tuples can be anything!
- ASSERTION is the right solution not associated with either table.
- Trigger procedure that starts automatically if specified changes occur to the DBMS
- Three parts
- Event (activates the trigger)
- Condition (tests whether the triggers should run)
- Action (what happens if the trigger runs)
- CREATE TRIGGER youngSailorUpdate
- AFTER INSERT ON SAILORS
- REFERENCING NEW TABLE NewSailors
- FOR EACH STATEMENT
- INTO YoungSailors(sid, name, age, rating)
- SELECT sid, name, age, rating
- FROM NewSailors N
- WHERE N.age lt 18
- Returns the remainder of m/n
- POWER (m,n)
- TRUNC(15.79,1)
- CONCAT(char1, char2)
- LOWER/UPPER
- LTRIM(char ,set) RTRIM(char ,set
- SUBSTR(char, m ,n)
- LENGTH(char)
- ADD_MONTHS(d,n)
- LAST_DAY(d)
- MONTHS_BETWEEN(d1, d2)
- ROUND(d,fmt)
- TO_CHAR(d , fmt , 'nlsparams' )
- TO_DATE(char , fmt , 'nlsparams' )
- All tables and views that are available to the user
- This table contains several hundred rows
- Useful Data Dictionary Views
- Use just like a table
- More useful (generally) than full tables
- Use DESCRIBE to see the columns in the view
- USER_TABLES
- USER_CONSTRAINTS
- USER_OBJECTS
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Powerpoint Templates and Google slides for Sql
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This slide discusses the encryption hierarchy in column level data encryption. The purpose of this slide is to represent different tiers of encryption hierarchy such as windows level, SQL server level, user database level, instance level, and master database level. Present the topic in a bit more detail with this Encryption Implementation Strategies Column Level Data Encryption In SQL Servers. Use it as a tool for discussion and navigation on Encrypts Service Key, Master Database, Encrypts Database Encryption Key. This template is free to edit as deemed fit for your organization. Therefore download it now.
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Aug 06, 2014
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SQL. SQL (Structured Query Language) : is a database language that is used to create, modify and update database design and data. Good Example of DBMS’s sub language. SQL….Con’t. Consist of 3 Sub languages: DDL (Data Definition Language). Create Table. Drop Table. Alter Table.
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SQL • SQL (Structured Query Language) : is a database language that is used to create, modify and update database design and data. • Good Example of DBMS’s sub language.
SQL….Con’t • Consist of 3 Sub languages: • DDL (Data Definition Language). • Create Table. • Drop Table. • Alter Table. • DML (Data Manipulation Language). • Insert. • Update. • Delete. • Select. • DCL (Data Control Language).
DDL (Data Definition Language) • Available Data Types: • Integer/ Int. • Single / Float. • Counter / autoincrement • Text/ String / char. • Long char / memo. • Date / Time / Datetime. • Currency. • Long binary / OLEObject. • Boolean.
DML (Data Manipulation Language) • DML in SQL is used to deal with the data onlyand it is not concerned with the structure of the database. • Commands that will be considered in DML are: • Insert Into. • Delete. • Update. • Select.
DML (Insert Into) • Insert Into command is used to insert data inside tables. • Syntax is: Insert into table_name[(field_name,…)] values (value1, value2,….) - If you didn’t specify the field names, then you must include values for each field in the table.
DML (Insert Into) • E.g. Given this table: (Books table) To Insert a new row inside this table, this command should be written: Insert Into Books (ISBN, Title, Price,pub_date) values (“1-000-0010-8”,”Access SQL”,150,”01/01/2005”) OR Insert Into Books values (“1-000-0010-8”,”Access SQL”,150,”01/01/2005”)
DML (Insert Into) • In the previous example, if specific fields need to be added within the row (Not the entire record) so field names should be specified in the Insert Into Command. • E.g. Insert a new record inside the books table by adding ISBN, Title and the price only. Insert Into Books (ISBN, Title, Price) values (“1-023-0010-8”,”Database Systems”,200)
DML (Delete) • Delete command is used to delete records from tables. • Syntax is : Delete from table_name where criteria; criteria : is used to determine which rows to delete.
DML (Delete) Students Table Delete from Students; This command will delete the whole records
DML (Delete) Students Table Delete from Students where Address = “AD”; This Command will delete all the students whose Address is AD.
DML (Update) • Update command is used to update a specific data inside the tables. • Syntax is : Update table_name set new_value_expression,… where criteria; where clause: is used to restrict updating a specific rows.
DML (Update) BooksTable Update Books set price = 200; This command without any criteria (condition) will update all the books’ price to 200
DML (Update) All The prices is updated to 200
DML (Update) BooksTable Update Books set price = 200 where ISBN=“1-002-032-1”; This command will update the price to 200 for the book whose ISBN = 1-002-032-1
DML (Update)
Capabilities of SQL SELECT Statements Selection Projection Table 1 Table 1 Join Table 2 Table 1
Basic SELECT Statement • SELECT identifies what columns • FROM identifies which table SELECT *|{[DISTINCT] column|expression [alias],...} FROM table;
Selecting All Columns SELECT * FROM departments;
Selecting Specific Columns SELECT department_id, location_id FROM departments;
Arithmetic Expressions Create expressions with number and date data by using arithmetic operators. Operator + - * / Description Add Subtract Multiply Divide
Using Arithmetic Operators SELECT last_name, salary, salary + 300 FROM employees; …
Using Parentheses SELECT last_name, salary, 12*(salary+100) FROM employees; …
Duplicate Rows SELECT department_id FROM employees; The default display of queries is all rows, including duplicate rows. …
Eliminating Duplicate Rows Eliminate duplicate rows by using the DISTINCT keyword in the SELECT clause. SELECT DISTINCT department_id FROM employees;
Limiting Rows Using a Selection EMPLOYEES … “retrieve allemployeesin department 90”
Limiting the Rows Selected • Restrict the rows returned by using the WHERE clause. • The WHERE clause follows the FROM clause. SELECT *|{[DISTINCT] column|expression [alias],...} FROM table [WHERE condition(s)];
Using the WHERE Clause SELECT employee_id, last_name, job_id, department_id FROM employees WHERE department_id = 90 ;
Character Strings and Dates • Character strings and date values are enclosed in double quotation marks. SELECT last_name, job_id, department_id FROM employees WHERE last_name = “Ahmad”;
Comparison Conditions Operator = > >= < <= <> Meaning Equal to Greater than Greater than or equal to Less than Less than or equal to Not equal to
Using Comparison Conditions SELECT last_name, salary FROM employees WHERE salary <= 3000;
Other Comparison Conditions Operator BETWEEN...AND... IN(set) LIKE IS NULL Meaning Between two values (inclusive), Match any of a list of values Match a character pattern Is a null value
Using the BETWEEN Condition Use the BETWEEN condition to display rows based on a range of values. SELECT last_name, salary FROM employees WHERE salary BETWEEN 2500 AND 3500; Lower limit Upper limit
Using the IN Condition Use the IN membership condition to test for values in a list. SELECT employee_id, last_name, salary, manager_id FROM employees WHERE manager_id IN (100, 101, 201);
Using the LIKE Condition • Use the LIKE condition to perform wildcard searches of valid search string values. • Search conditions can contain either literal characters or numbers: • * denotes zero or many characters. SELECT first_name FROM employees WHERE first_name LIKE 'S*';
Using the NULL Conditions Test for nulls with the IS NULL operator. SELECT last_name, manager_id FROM employees WHERE manager_id IS NULL;
Logical Conditions Operator ANDOR NOT Meaning Returns TRUE if both component conditions are true Returns TRUE if either component condition is true Returns TRUE if the following condition is false
Using the AND Operator AND requires both conditions to be true. SELECT employee_id, last_name, job_id, salary FROM employees WHERE salary >=10000 AND job_id LIKE ‘*MAN*';
Using the OR Operator OR requires either conditions to be true. SELECT employee_id, last_name, job_id, salary FROM employees WHERE salary >= 10000 OR job_id LIKE ‘*MAN*';
Using the NOT Operator SELECT last_name, job_id FROM employees WHERE job_id NOT IN ('IT_PROG', 'ST_CLERK', 'SA_REP');
ORDER BY Clause • Sort rows with the ORDER BY clause • ASC: ascending order, default • DESC: descending order • The ORDER BY clause comes last in the SELECT statement. SELECT last_name, job_id, department_id, hire_date FROM employees ORDER BY hire_date ; …
Sorting in Descending Order SELECT last_name, job_id, department_id, hire_date FROM employees ORDER BY hire_date DESC ; …
Sorting by Multiple Columns • The order of ORDER BY list is the order of sort. • You can sort by a column that is not in the SELECT list. SELECT last_name, department_id, salary FROM employees ORDER BY department_id, salary DESC; …
Summary • Use the WHERE clause to restrict rows of output • Use the comparison conditions • Use the BETWEEN, IN, LIKE, and NULL conditions • Apply the logical AND, OR, and NOT operators • Use the ORDER BY clause to sort rows of output SELECT *|{[DISTINCT] column|expression [alias],...} FROM table [WHERE condition(s)] [ORDER BY {column, expr, alias} [ASC|DESC]];
Obtaining Data from Multiple Tables EMPLOYEES DEPARTMENTS … …
Joining Tables Use a join to query data from more than one table. • Write the join condition in the WHERE clause. • Prefix the column name with the table name when the same column name appears in more than one table. SELECT table1.column, table2.column FROM table1, table2 WHERE table1.column1 = table2.column2;
Foreign key Primary key What is an Equijoin (Inner Join)? EMPLOYEES DEPARTMENTS … …
Retrieving Records with Equijoins SELECT employees.employee_id, employees.last_name, employees.department_id, departments.department_id, departments.location_id FROM employees, departments WHERE employees.department_id = departments.department_id; …
Using Table Aliases • Simplify queries by using table aliases. • Improve performance by using table prefixes. SELECT e.employee_id, e.last_name, e.department_id, d.department_id, d.location_id FROM employees e , departments d WHERE e.department_id = d.department_id;
Joining More than Two Tables EMPLOYEES DEPARTMENTS LOCATIONS • To join n tables together, you need a minimum of n-1 join conditions. For example, to join three tables, a minimum of two joins is required. …
Salary in the EMPLOYEES table must be between lowest salary and highest salary in the JOB_GRADES table. Non-Equijoins EMPLOYEES JOB_GRADES …
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Chapter 1 introduction to sql server. Jun 12, 2015 • Download as PPTX, PDF •. 9 likes • 10,492 views. baabtra.com - No. 1 supplier of quality freshers. Introduction to SQL Server- DDL, DML, DCL. Technology. 1 of 43. Download now. Chapter 1 introduction to sql server - Download as a PDF or view online for free.
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The Rule of Precedence: Establish the order in which computations are completed Perform: Operations within parentheses Power operations Multiplications and divisions Additions and subtractions. Table 7.7 - The Arithmetic Operators. Figure 7.12 - Selected PRODUCT Table Attributes: The logical OR. 24.
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Presentation Transcript. SQL • SQL (Structured Query Language) : is a database language that is used to create, modify and update database design and data. • Good Example of DBMS's sub language. SQL….Con't • Consist of 3 Sub languages: • DDL (Data Definition Language). • Create Table.
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