This document provides information about databases, database management systems (DBMS), and basic MySQL operations. It defines a database as a collection of data organized into tables. A DBMS is software that maintains and utilizes these data collections. MySQL is introduced as a free and popular DBMS. The document outlines basic MySQL operations like creating and modifying tables, inserting, retrieving, updating, and deleting records. It also discusses how MySQL stores data and provides examples of SQL queries.
This document provides instructions and examples for using the MySQL database system. It discusses MySQL concepts like database, tables, rows, and columns. It also demonstrates common SQL commands like CREATE, SELECT, INSERT, UPDATE, DROP. Examples show how to create databases and tables, insert and query data, use functions, conditions and wildcards. Script files demonstrate populating tables with sample data.
Applied Partitioning And Scaling Your Database System PresentationRichard Crowley
This document discusses applying partitioning to MySQL OLTP applications. It begins by reviewing classic uses of partitioning in data warehousing applications. It then explains how partitioning can benefit OLTP workloads by reducing seek and scan set sizes and limiting transaction durations. The document provides an example of applying hash partitioning to tables in a retail store application based on store ID. It demonstrates how to expand and merge partitions as stores are added or closed. Performance tests on the partitioned tables show improvements in query times compared to non-partitioned tables. In summary, the document argues that partitioning provides a way to scale MySQL databases for OLTP workloads while reducing maintenance costs.
The document discusses various built-in functions in MySQL for manipulating date, time, string, and numeric data. It describes functions for formatting dates, extracting date elements, adding or subtracting times, concatenating and modifying strings. Common functions covered include DATE_FORMAT(), NOW(), CURDATE(), CONCAT(), REPLACE(), LEFT(), RIGHT(), and MID().
SQL is a language for managing and manipulating databases. It includes languages for data definition (DDL), data manipulation (DML), data retrieval (DRL), transaction control (TCL), and data control (DCL). The document provides detailed syntax examples for creating tables, inserting data, selecting data using conditions, updating and deleting records, and managing transactions using commands like commit, rollback, and savepoints. It also covers altering tables and dropping or renaming database objects.
Moving to the NoSQL side: MySQL JSON functionsSveta Smirnova
This document provides an overview of JSON functions that have been added to MySQL to support NoSQL and manipulation of JSON documents. It discusses the history and improvements of the JSON functions, provides examples of how various functions such as json_valid, json_contains_key, json_extract, json_append, json_replace, json_set, json_remove, json_search, json_merge, json_depth, and json_count work, and describes how to install and compile the JSON functions. The JSON functions allow users to validate, search, modify, and work with JSON documents directly in MySQL.
Character Encoding - MySQL DevRoom - FOSDEM 2015mushupl
Character encoding configuration in MySQL has always been a bit confusing. With too many options to set, unclear relationships between them, and the default settings that make MySQL incompatible with most languages, it is a headache to many users, many of whom end up with broken data. This lecture will provide an overview of the character set support in MySQL, guidelines on how to use it correctly, and will demonstrate several methods of detecting and repairing mangled data.
The document outlines activities in an object relational database course including creating object types and tables to store student data with object attributes, inserting records into the tables, and performing queries on the data including aggregation, ranking, and window functions. Object types are defined for people and students, and tables are created to store contact and student data using the object types.
This document provides information about databases, database management systems (DBMS), and basic MySQL operations. It defines a database as a collection of data organized into tables. A DBMS is software that maintains and utilizes these data collections. MySQL is introduced as a free and popular DBMS. The document outlines basic MySQL operations like creating and modifying tables, inserting, retrieving, updating, and deleting records. It also discusses how MySQL stores data and provides examples of SQL queries.
This document provides instructions and examples for using the MySQL database system. It discusses MySQL concepts like database, tables, rows, and columns. It also demonstrates common SQL commands like CREATE, SELECT, INSERT, UPDATE, DROP. Examples show how to create databases and tables, insert and query data, use functions, conditions and wildcards. Script files demonstrate populating tables with sample data.
Applied Partitioning And Scaling Your Database System PresentationRichard Crowley
This document discusses applying partitioning to MySQL OLTP applications. It begins by reviewing classic uses of partitioning in data warehousing applications. It then explains how partitioning can benefit OLTP workloads by reducing seek and scan set sizes and limiting transaction durations. The document provides an example of applying hash partitioning to tables in a retail store application based on store ID. It demonstrates how to expand and merge partitions as stores are added or closed. Performance tests on the partitioned tables show improvements in query times compared to non-partitioned tables. In summary, the document argues that partitioning provides a way to scale MySQL databases for OLTP workloads while reducing maintenance costs.
The document discusses various built-in functions in MySQL for manipulating date, time, string, and numeric data. It describes functions for formatting dates, extracting date elements, adding or subtracting times, concatenating and modifying strings. Common functions covered include DATE_FORMAT(), NOW(), CURDATE(), CONCAT(), REPLACE(), LEFT(), RIGHT(), and MID().
SQL is a language for managing and manipulating databases. It includes languages for data definition (DDL), data manipulation (DML), data retrieval (DRL), transaction control (TCL), and data control (DCL). The document provides detailed syntax examples for creating tables, inserting data, selecting data using conditions, updating and deleting records, and managing transactions using commands like commit, rollback, and savepoints. It also covers altering tables and dropping or renaming database objects.
Moving to the NoSQL side: MySQL JSON functionsSveta Smirnova
This document provides an overview of JSON functions that have been added to MySQL to support NoSQL and manipulation of JSON documents. It discusses the history and improvements of the JSON functions, provides examples of how various functions such as json_valid, json_contains_key, json_extract, json_append, json_replace, json_set, json_remove, json_search, json_merge, json_depth, and json_count work, and describes how to install and compile the JSON functions. The JSON functions allow users to validate, search, modify, and work with JSON documents directly in MySQL.
Character Encoding - MySQL DevRoom - FOSDEM 2015mushupl
Character encoding configuration in MySQL has always been a bit confusing. With too many options to set, unclear relationships between them, and the default settings that make MySQL incompatible with most languages, it is a headache to many users, many of whom end up with broken data. This lecture will provide an overview of the character set support in MySQL, guidelines on how to use it correctly, and will demonstrate several methods of detecting and repairing mangled data.
The document outlines activities in an object relational database course including creating object types and tables to store student data with object attributes, inserting records into the tables, and performing queries on the data including aggregation, ranking, and window functions. Object types are defined for people and students, and tables are created to store contact and student data using the object types.
This document provides information about partitioning in MySQL 5.1 presented by Sarah Sproehnle and Giuseppe Maxia. It discusses partitioning types (range, hash, list, key), partitioning expressions, partitioning pruning, benchmarking partitions, partitioning with different storage engines, partitioning by dates, and optimizing queries on partitioned tables.
New features in Performance Schema 5.7 in actionSveta Smirnova
The document discusses new features in Performance Schema 5.7, including improved instrumentation for locks, memory usage, stored routines, prepared statements, and variables. It provides examples of using Performance Schema tables like METADATA_LOCKS, TABLE_HANDLES, and prepared_statements_instances to diagnose issues like locks preventing DDL statements from completing and inconsistently timed stored procedure executions. Practices are suggested to identify memory usage and optimize prepared statement performance.
This document discusses several MySQL idiosyncrasies related to data integrity, transactions, and variable scope that can cause unexpected behavior for developers. Specifically, it notes that MySQL does not enforce data integrity by default, transactions are not supported with all storage engines, and variable settings apply at the session level rather than globally by default. The document provides examples of each issue and recommends configurations like stricter SQL modes and using InnoDB to avoid potential problems.
This document provides an overview of MySQL basics including what MySQL is, installing the MySQL server, using the mysql command line client, SQL basics like concepts and terminology for databases, tables and fields, and performing operations like insert, update, delete and select. It also covers retrieving records with select through ordering, limiting and arithmetic functions. The document concludes by explaining how to read and execute SQL statements from a script file.
This document outlines the organization of a course on MySQL/PHP database applications. It is divided into four parts:
Part I covers working with MySQL, including designing databases, creating tables, and querying data. Part II focuses on working with PHP scripts to access databases and present HTML. Part III presents simple database applications using lessons from Parts I and II. Part IV introduces more complex real-world applications commonly used on the web.
MySQL for business developer - Titouan BENOITTitouan BENOIT
MySQL introduction for business developer.
In this presentation you will learn to:
– Make basics queries to search data into MySQL databases
– Extract data from MySQL databases
– Use PHPMyAdmin
– Compute statistics on data (count, average, …)
Constraints are rules used to define and restrict the type of data that can be placed within MySQL tables. The document discusses several constraint types including NOT NULL, DEFAULT, UNIQUE, PRIMARY KEY, and FOREIGN KEY. It provides examples of how to implement these constraints when creating or altering tables, and demonstrates the behavior that results from adhering to or violating the constraints, such as errors generated or default values used. Foreign keys link data between tables, helping to enforce relational integrity.
Performance Schema for MySQL TroubleshootingSveta Smirnova
The Performance Schema in MySQL provides tables and instruments for troubleshooting issues like locks, I/O bottlenecks, slow queries, memory usage, and replication failures. It contains over 500 instruments in MySQL 5.6 and over 800 in 5.7. The tables provide visibility into the internal workings of MySQL to analyze and optimize performance.
Performance Schema for MySQL TroubleshootingSveta Smirnova
The Performance Schema provides detailed information for troubleshooting and optimizing MySQL. It collects instrumentation data on server operations, statements, memory usage, locks and connections. The data can be used to identify slow queries, statements not using indexes, memory consumption trends over time, and more. Configuration and enabling specific instruments allows controlling the level of detail collected.
The document discusses database partitioning in MySQL. It defines database partitioning as a technique that splits large databases into smaller, more manageable partitions. This improves performance, availability, and manageability. The document then covers the basics of partitioning, how it is implemented in MySQL, and the types of partitioning including horizontal, vertical, range, list, hash, and key partitioning. It also discusses managing existing partitions.
MySQL is a popular open-source database that allows users to create, query, and manage relational database tables. The document introduces how to use MySQL, including how to connect to MySQL, create databases and tables, insert and query data using SQL statements like SELECT, and sort and filter query results. Pattern matching operators like LIKE and wildcard characters can be used to search for specific strings within table columns.
The document shows the steps taken to create and populate a MySQL database called pbd. The following tables were created: siswa, guru, mahasiswa, matakuliah, and krs. Data was inserted into the siswa and guru tables. Columns in the tables were updated, rows were deleted, and selections were made to view the data.
This document provides an overview of PostgreSQL topics including:
- Installation and configuration best practices such as using package management and configuring logging
- Routine maintenance activities like vacuuming and backups
- Upgrades and the differences between major, minor, and bugfix versions
- Advanced SQL topics like window functions, common table expressions, and querying slow queries
This document provides an agenda and overview for a MySQL Query Tuning 101 presentation. The summary includes:
1. The agenda covers topics like identifying slow queries, using indexes, the EXPLAIN tool, and other optimization techniques.
2. When queries run slow, the presenter will discuss using indexes to improve performance by allowing MySQL to access data more efficiently.
3. The EXPLAIN tool is covered as a way to estimate query execution and see how MySQL utilizes indexes. Different EXPLAIN output will be demonstrated using examples from an employees database.
Percona Live 2016 (https://www.percona.com/live/data-performance-conference-2016/sessions/why-use-explain-formatjson). Although EXPLAIN FORMAT=JSON was first presented a long time ago, there still aren't many resources that explain how and why to use it. The most advertised feature is visual EXPLAIN in MySQL Workbench, but this format can do more than create nice pictures. It prints additional information that can't be found in good old tabular EXPLAIN, and can help to solve many tricky performance issues. In this session, I will not only describe which additional information we can get with the new syntax, but also provide examples showing how to use it to diagnose production issues.
The document discusses installing and configuring MySQL on Linux. It provides steps to install MySQL using RPM files, set passwords for security, test the installation, and configure applications to connect to the database. It also covers basic and advanced MySQL commands like CREATE TABLE, SELECT, JOIN, and more.
This document provides examples of using SQL commands in DB2 to create and manage database tables, insert and query data, create views, and more. It shows how to start and connect to a DB2 database instance named "sample", create tables like "EMPLOYEE" and insert sample records, perform joins, unions and other queries, update and delete records, create a view, list tables, and shut down the DB2 instance. The examples demonstrate basic and some advanced SQL features in DB2.
Essbase and Planning have many great reporting options, but so much of the time users still just want to work with their data in Excel. Smart View does a great job of basic zooming and pivoting. However, there are still things you just can’t do with the usual Smart View features, things like top and bottom reports, custom grouping, custom sorting, and filters.
With MDX you can. Users can execute MDX from Smart View. The MDX Library extension makes it user friendly, and there are other advantages. It’s fast, it respects security settings, and you can avoid some of the limits on query size. Most importantly, it dramatically extends what users can do with their Essbase data in Excel.
MDX can be complicated and though you can do more if you know MDX, this session requires no prior MDX knowledge. We will show you the code, give you the script files, and show you a step-by-step approach to customize them.
In this session we will review:
• Top and bottom reports
• Sorting and filtering
• Custom grouping
• Calculated columns
• Custom time-based analytical calculations
• How to customize the queries
• Using variables for customization
This session is for anyone who wants to empower users or themselves with more flexible, more advanced packaged Essbase queries. That includes admins, developers, and power users, but it also includes adventurous end users with no knowledge of MDX.
This document provides instructions and examples for using the MySQL database system. It discusses MySQL concepts like database, tables, rows, and columns. It also demonstrates common SQL commands like CREATE, SELECT, INSERT, UPDATE, DROP. Examples show how to create databases and tables, insert data, query data, and more. Installation and configuration steps are also covered.
This document provides information about partitioning in MySQL 5.1 presented by Sarah Sproehnle and Giuseppe Maxia. It discusses partitioning types (range, hash, list, key), partitioning expressions, partitioning pruning, benchmarking partitions, partitioning with different storage engines, partitioning by dates, and optimizing queries on partitioned tables.
New features in Performance Schema 5.7 in actionSveta Smirnova
The document discusses new features in Performance Schema 5.7, including improved instrumentation for locks, memory usage, stored routines, prepared statements, and variables. It provides examples of using Performance Schema tables like METADATA_LOCKS, TABLE_HANDLES, and prepared_statements_instances to diagnose issues like locks preventing DDL statements from completing and inconsistently timed stored procedure executions. Practices are suggested to identify memory usage and optimize prepared statement performance.
This document discusses several MySQL idiosyncrasies related to data integrity, transactions, and variable scope that can cause unexpected behavior for developers. Specifically, it notes that MySQL does not enforce data integrity by default, transactions are not supported with all storage engines, and variable settings apply at the session level rather than globally by default. The document provides examples of each issue and recommends configurations like stricter SQL modes and using InnoDB to avoid potential problems.
This document provides an overview of MySQL basics including what MySQL is, installing the MySQL server, using the mysql command line client, SQL basics like concepts and terminology for databases, tables and fields, and performing operations like insert, update, delete and select. It also covers retrieving records with select through ordering, limiting and arithmetic functions. The document concludes by explaining how to read and execute SQL statements from a script file.
This document outlines the organization of a course on MySQL/PHP database applications. It is divided into four parts:
Part I covers working with MySQL, including designing databases, creating tables, and querying data. Part II focuses on working with PHP scripts to access databases and present HTML. Part III presents simple database applications using lessons from Parts I and II. Part IV introduces more complex real-world applications commonly used on the web.
MySQL for business developer - Titouan BENOITTitouan BENOIT
MySQL introduction for business developer.
In this presentation you will learn to:
– Make basics queries to search data into MySQL databases
– Extract data from MySQL databases
– Use PHPMyAdmin
– Compute statistics on data (count, average, …)
Constraints are rules used to define and restrict the type of data that can be placed within MySQL tables. The document discusses several constraint types including NOT NULL, DEFAULT, UNIQUE, PRIMARY KEY, and FOREIGN KEY. It provides examples of how to implement these constraints when creating or altering tables, and demonstrates the behavior that results from adhering to or violating the constraints, such as errors generated or default values used. Foreign keys link data between tables, helping to enforce relational integrity.
Performance Schema for MySQL TroubleshootingSveta Smirnova
The Performance Schema in MySQL provides tables and instruments for troubleshooting issues like locks, I/O bottlenecks, slow queries, memory usage, and replication failures. It contains over 500 instruments in MySQL 5.6 and over 800 in 5.7. The tables provide visibility into the internal workings of MySQL to analyze and optimize performance.
Performance Schema for MySQL TroubleshootingSveta Smirnova
The Performance Schema provides detailed information for troubleshooting and optimizing MySQL. It collects instrumentation data on server operations, statements, memory usage, locks and connections. The data can be used to identify slow queries, statements not using indexes, memory consumption trends over time, and more. Configuration and enabling specific instruments allows controlling the level of detail collected.
The document discusses database partitioning in MySQL. It defines database partitioning as a technique that splits large databases into smaller, more manageable partitions. This improves performance, availability, and manageability. The document then covers the basics of partitioning, how it is implemented in MySQL, and the types of partitioning including horizontal, vertical, range, list, hash, and key partitioning. It also discusses managing existing partitions.
MySQL is a popular open-source database that allows users to create, query, and manage relational database tables. The document introduces how to use MySQL, including how to connect to MySQL, create databases and tables, insert and query data using SQL statements like SELECT, and sort and filter query results. Pattern matching operators like LIKE and wildcard characters can be used to search for specific strings within table columns.
The document shows the steps taken to create and populate a MySQL database called pbd. The following tables were created: siswa, guru, mahasiswa, matakuliah, and krs. Data was inserted into the siswa and guru tables. Columns in the tables were updated, rows were deleted, and selections were made to view the data.
This document provides an overview of PostgreSQL topics including:
- Installation and configuration best practices such as using package management and configuring logging
- Routine maintenance activities like vacuuming and backups
- Upgrades and the differences between major, minor, and bugfix versions
- Advanced SQL topics like window functions, common table expressions, and querying slow queries
This document provides an agenda and overview for a MySQL Query Tuning 101 presentation. The summary includes:
1. The agenda covers topics like identifying slow queries, using indexes, the EXPLAIN tool, and other optimization techniques.
2. When queries run slow, the presenter will discuss using indexes to improve performance by allowing MySQL to access data more efficiently.
3. The EXPLAIN tool is covered as a way to estimate query execution and see how MySQL utilizes indexes. Different EXPLAIN output will be demonstrated using examples from an employees database.
Percona Live 2016 (https://www.percona.com/live/data-performance-conference-2016/sessions/why-use-explain-formatjson). Although EXPLAIN FORMAT=JSON was first presented a long time ago, there still aren't many resources that explain how and why to use it. The most advertised feature is visual EXPLAIN in MySQL Workbench, but this format can do more than create nice pictures. It prints additional information that can't be found in good old tabular EXPLAIN, and can help to solve many tricky performance issues. In this session, I will not only describe which additional information we can get with the new syntax, but also provide examples showing how to use it to diagnose production issues.
The document discusses installing and configuring MySQL on Linux. It provides steps to install MySQL using RPM files, set passwords for security, test the installation, and configure applications to connect to the database. It also covers basic and advanced MySQL commands like CREATE TABLE, SELECT, JOIN, and more.
This document provides examples of using SQL commands in DB2 to create and manage database tables, insert and query data, create views, and more. It shows how to start and connect to a DB2 database instance named "sample", create tables like "EMPLOYEE" and insert sample records, perform joins, unions and other queries, update and delete records, create a view, list tables, and shut down the DB2 instance. The examples demonstrate basic and some advanced SQL features in DB2.
Essbase and Planning have many great reporting options, but so much of the time users still just want to work with their data in Excel. Smart View does a great job of basic zooming and pivoting. However, there are still things you just can’t do with the usual Smart View features, things like top and bottom reports, custom grouping, custom sorting, and filters.
With MDX you can. Users can execute MDX from Smart View. The MDX Library extension makes it user friendly, and there are other advantages. It’s fast, it respects security settings, and you can avoid some of the limits on query size. Most importantly, it dramatically extends what users can do with their Essbase data in Excel.
MDX can be complicated and though you can do more if you know MDX, this session requires no prior MDX knowledge. We will show you the code, give you the script files, and show you a step-by-step approach to customize them.
In this session we will review:
• Top and bottom reports
• Sorting and filtering
• Custom grouping
• Calculated columns
• Custom time-based analytical calculations
• How to customize the queries
• Using variables for customization
This session is for anyone who wants to empower users or themselves with more flexible, more advanced packaged Essbase queries. That includes admins, developers, and power users, but it also includes adventurous end users with no knowledge of MDX.
This document provides instructions and examples for using the MySQL database system. It discusses MySQL concepts like database, tables, rows, and columns. It also demonstrates common SQL commands like CREATE, SELECT, INSERT, UPDATE, DROP. Examples show how to create databases and tables, insert data, query data, and more. Installation and configuration steps are also covered.
This document provides an overview of a course on learning PHP and MySQL. It includes:
- Course contents which cover basics of databases, MySQL, PHP, HTML/CSS/JavaScript, and creating a registration form and project using these technologies.
- After completing the course, students will learn PHP, MySQL, and HTML/CSS/JavaScript and be able to create a webpage and industry-level project.
- An introduction to basic concepts like what a database is, relational databases, RDBMS terminology, and examples of tables, rows, columns, keys, and indexes.
MySQL is a database management system that allows users to define, create, query, update, and administer relational databases. It defines operations like insert, retrieve, modify, and delete data using SQL. Some basic operations in MySQL include creating tables, inserting records, retrieving records by querying tables, updating records, and deleting records or tables. MySQL stores each database as a directory containing table files for the data and index files.
The document discusses MySQL data manipulation commands. It provides examples of using SELECT statements to retrieve data from tables based on specified criteria, INSERT statements to add new data to tables, UPDATE statements to modify existing data in tables, and the basic syntax for these commands. It also reviews naming conventions and some best practices for working with tables in MySQL.
This document provides an overview and instructions for installing and using the MySQL database system. It describes MySQL's client-server architecture, how to connect to the MySQL server using the command line client, and provides examples of common SQL commands for creating databases and tables, inserting, selecting, updating, and deleting rows of data. It also introduces some basic SQL functions and provides SQL scripts as examples to create tables and insert data.
This document provides instructions for students to obtain fully solved assignments. It tells students to send their semester and specialization name to the email address "help.mbaassignments@gmail.com" or call the phone number 08263069601 to receive solved assignments. It provides this contact information to help students complete their coursework.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
The document discusses querying data in a distributed database system using SELECT statements. It explains the basic syntax of SELECT, including how to specify the columns, tables, and conditions to retrieve the desired data. It also covers additional clauses like ORDER BY, LIMIT, and DISTINCT that allow sorting, pagination, and removing duplicates from result sets. Aggregate functions like COUNT, MIN, MAX, and GROUP_CONCAT are described for summarizing and combining column values.
The document discusses SQL and how to interact with databases using SQL. It provides examples of using SQL commands like CREATE TABLE, INSERT, SELECT, UPDATE, and DELETE to structure and manipulate a database. It also shows how to connect to a MySQL database from the command line or using PHP scripts to execute SQL queries and retrieve/modify data in the database.
This document discusses various functions in MySQL that can manipulate and extract information from data. It covers date functions like DATE_FORMAT() and EXTRACT() to get parts of a date. String functions like INSERT(), LOCATE(), and LENGTH() allow manipulating and analyzing text. Numeric functions do math operations and rounding. Aggregate functions like COUNT(), AVG(), MIN(), and MAX() return metadata about query results. Control functions like CASE statements add conditional logic. Examples are provided to demonstrate the syntax and usage of many of these important MySQL functions.
Performance Schema for MySQL TroubleshootingSveta Smirnova
Percona Live (https://www.percona.com/live/data-performance-conference-2016/sessions/performance-schema-mysql-troubleshooting)
The performance schema in MySQL version 5.6, released in February, 2013, is a very powerful tool that can help DBAs discover why even the trickiest performance issues occur. Version 5.7 introduces even more instruments and tables. And while all these give you great power, you can get stuck choosing which instrument to use.
In this session, I will start with a description of a typical problem, then guide you how to use the performance schema to find out what causes the issue, the reason for unwanted behavior and how the received information can help you solve a particular problem.
Traditionally, performance schema sessions teach what is in contained in tables. I will, in contrast, start from a performance issue, then demonstrate which instruments and tables can help solve it. We will discuss how to setup the performance schema so that it has minimal impact on your server.
MySQL Kitchen : spice up your everyday SQL queriesDamien Seguy
This document provides an agenda and summary for a MySQL conference session on clever SQL recipes and techniques for MySQL. The session will cover topics like unexpected sorting results, storing IP addresses efficiently, using auto-increment for multiple columns, generating random values, and transposing row data. The presenter is Damien Séguy, a MySQL expert consultant, who will demonstrate various techniques using a sample PHP statistics database schema. Attendees are encouraged to ask questions throughout the presentation.
This document provides an overview of MySQL and relational databases. It defines key concepts like databases, tables, rows, columns, primary keys, foreign keys and indexes. It explains how to set up a MySQL database using scripts or a GUI tool. It also covers basic SQL commands like SELECT, INSERT, UPDATE and DELETE and provides examples of their usage. Finally, it introduces the Squirrel SQL Client, an open source Java GUI for interacting with MySQL databases.
This document provides an introduction to databases and MySQL. It discusses what databases are, why they are used, and some common database management systems. It then demonstrates how to connect to a MySQL database, issue basic queries, create and describe a sample table, and delete a table. The key aspects covered are connecting to MySQL, executing basic queries, creating a database and table, and verifying the table structure.
This document provides an introduction to databases and MySQL. It discusses what databases are, why they are used, and some common database management systems. It then demonstrates how to connect to a MySQL database, issue basic queries, create and describe a sample table, and delete a table. The key aspects covered are connecting to MySQL, executing basic queries, creating a database and table, and verifying the table structure.
MySQL is a relational database management system that runs as a server providing multi-user access to databases. It features large database handling, password security, and data type flexibility. Users connect to MySQL using commands to log in, create databases and tables, insert and modify data, run queries, and manage tables. A variety of data types, operators, and functions allow complex data management and retrieval.
MariaDB 10.5 new features for troubleshooting (mariadb server fest 2020)Valeriy Kravchuk
The recently released MariaDB 10.5 GA includes many new, useful features, but I’d like to concentrate on those helping DBAs and support engineers to find out what’s going on when a problem occurs.
Specifically I present and discuss the Performance Schema updates to match MySQL 5.7 instrumentation, new tables in the INFORMATION_SCHEMA to monitor the internals of a generic thread pool and improvements of ANALYZE for statements.
This presentation focuses on optimization of queries in MySQL from developer’s perspective. Developers should care about the performance of the application, which includes optimizing SQL queries. It shows the execution plan in MySQL and explain its different formats - tabular, TREE and JSON/visual explain plans. Optimizer features like optimizer hints and histograms as well as newer features like HASH joins, TREE explain plan and EXPLAIN ANALYZE from latest releases are covered. Some real examples of slow queries are included and their optimization explained.
SQL is a language used to store, manipulate, and retrieve data in relational database management systems. The core SQL commands are CREATE, SELECT, INSERT, UPDATE, and DELETE. CREATE is used to create new tables and objects. SELECT retrieves data from tables. INSERT adds new rows of data. UPDATE modifies existing data. DELETE removes rows of data. SQL allows users and applications to access data, define data structures, and manage data.
Similar to DATA BASE || INTRODUCTION OF DATABASE \\ SQL 2018 (20)
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
2. Flowchart-of-topic
Database and Database Management System
Introduction to MySQL
Connecting and Disconnecting
Entering Basic Queries
Creating and Using a Database
3. Database and Database Management System
Student_id Student_name Branch Year
101 Rms yadav CS 3
102 Shubham Kumar CS 3
103 Sujeet Kumar CS 3
104 Rakesh Kumar ME 3
Database Management System (DBMS) is software to maintain and utilize
the collections of data (Oracle, DB2, MySQL)
4. MySQL Introduction
MySQL is a database management system
SQL stands for the Structured Query Language. It defines
how to insert, retrieve, modify and delete data
Free from www.mysql.com
Why are we using MySQL?
Free (much cheaper than Oracle!)
Each student can install MySQL locally.
Easy to use Shell for creating tables, querying tables, etc.
Easy to use with Java JDBC
5. Basic MySQL Operations
Insert records
Create table
Load data
Retrieve records
Update records
Delete records
Modify table
Join table
Drop table
Optimize table
Count, Like, Order by, Group by
More advanced ones (sub-queries, stored procedures, triggers, views …)
6. How MySQL stores data (by default)
A MySQL server can store several databases
Databases are stored as directories
Default is at /usr/local/mysql /var/
Tables are stored as files inside each database (directory)
For each table, it has three files:
table.FRM file containing information about the table structure
table.MYD file containing the row data
table.MYI containing any indexes belonging with this table, as well as some
statistics about the table.
7. Login
Enter password: *****
Welcome to the MySQL monitor. Commands end with ; or g.
Your MySQL connection id is 241 to server version: 3.23.49
Type 'help;' or 'h' for help. Type 'c' to clear the buffer.
mysql>
To exit the MySQL Shell, just type QUIT or EXIT:
mysql> QUIT
mysql> exit
8. Basic Queries
Once logged in, you can try some simple queries.
For example:
mysql> SELECT VERSION(), CURRENT_DATE;
+-----------+--------------+
| VERSION() | CURRENT_DATE |
+-----------+--------------+
| 3.23.49 | 2002-05-26 |
+-----------+--------------+
1 row in set (0.00 sec)
Note that most MySQL commands end with a semicolon (;)
MySQL returns the total number of rows found, and the total time to execute the
query.
9. Create Database
What are the current databases at the server?
mysql> show databases;
+--------------+
| Database |
+--------------+
| mysql | mysql is a database (stores users’ password …) used by system.
| test |
+--------------+
Create a database (make a directory) whose name is MyDB
mysql> create database MyDB;
Select database to use
mysql> use MyDB;
Database changed
What tables are currently stored in the MyDB database?
mysql> show tables;
Empty set (0.00 sec)
10. Create Table
CREATE TABLE Table_Name (column_specifications)
Example
mysql> CREATE TABLE student
-> (
-> Student_id INT UNSIGNED NOT NULL,
-> Student_name VARCHAR(20) NOT NULL,
-> Branch VARCHAR(5),
-> Year VARCHAR(5)
-> );
Query OK, 0 rows affected (0.00 sec)
Student_id Student_name Branch Year
11. Display Table Structure
mysql> show tables;
+--------------------+
| Tables_in_MyDB |
+--------------------+
| student |
+--------------------+
1 row in set (0.00 sec)
mysql> describe student;
+---------------+----------------------+------+------+----------+--------+
| Field | Type | Null | Key | Default | Extra |
+---------------+----------------------+-------+-----+-----------+-------+
| Student_id | int(10) unsigned | | | 0 | |
| Student_name | varchar(20) | | | | |
| Branch | varchar(50) | YES | | NULL | |
| Year | varchar(5) | YES | | NULL | |
+---------------+----------------------+-------+------+----------+-------+
4 rows in set (0.00 sec)
this command use for show table in current database
this this comand use for display table structure in current
database
13. SELECT Statement
The SELECT statement is used to select data from a database.
The data returned is stored in a result table, called the result-set.
SELECT Syntax
SELECT column1, column2, ...
FROM table_name;
Here, column1, column2, ... are the field names of the table you want to
select data from. If you want to select all the fields available in the table,
use the following syntax:
SELECT * FROM table_name;
+---------------+--------------------- +-------+------+----------+--+
| Student_id| Student_name | Branch | Year |
+---------------+----------------------+-------+------+----------+--+
| 101 | Rms Yadav | CS | 3 |
| 102 | Shubham Kumar | CS | 3 |
| 103 | Santosh Kumar | CS | 3 |
| 104 | Rakesh Kumar | ME | 3 |
+---------------+----------------------+-------+------+-----------+---+
14. Selecting Particular Rows
You can select only particular rows from your table.
For example, if you want to verify the change that you made to Bowser's birth date,
select Bowser's record like this:
For example:-
mysql> SELECT * FROM Student WHERE name = “Rms Yadav";
+---------------+--------------------- +-------+------+----------+--+
| Student_id| Student_name | Branch | Year |
+---------------+----------------------+-------+------+----------+--+
| 101 | Rms Yadav | CS | 3 |
+---------------+----------------------+-------+------+----------+--+
15. Selecting Particular Rows using Relational operator
To find all Student record in third Year
SELECT * FROM student WHERE Year >= “3";
+---------------+--------------------- +-------+------+----------+--+
| Student_id| Student_name | Branch | Year |
+---------------+----------------------+-------+------+----------+--+
| 101 | Rms Yadav | CS | 3 |
| 102 | Shubham Kumar | CS | 3 |
| 103 | Santosh Kumar | CS | 3 |
| 104 | Rakesh Kumar | ME | 3 |
+---------------+----------------------+-------+------+-----------+---+
To find all Student Record, use a logical AND
SELECT * FROM student WHERE Year = ‘3’ AND Branch= “CS";
To find all Student Record, use a logical OR
SELECT * FROM student WHERE Year = “3" OR Branch=“ME”;
16. Selecting Particular Columns
If you don’t want to see entire rows from your table, just name the columns in which you are
interested, separated by commas.
For example, if you want to know when your pets were born, select the name and birth columns.
for example:-
mysql> select Student_id, Student_name from student;
D
+---------------+--------------------- +-------+-
| Student_id | Student_name |
+---------------+----------------------+-------+
| 101 | Rms Yadav |
| 102 | Shubham Kumar |
| 103 | Santosh Kumar |
| 104 | Rakesh Kumar |
+---------------+----------------------+-------+--
17. Group By
Cluster query results based on different groups
Example:-
mysql> select Branch, count(*) from student GROUP BY Branch;
+---------+----------+
| Branch | count(*)|
+---------+-----------+
| CS | 3 |
| ME | 1 |
+---------+-----------+
18. Different type of Key
• Super Key
• Candidate Key
• Primary Key
• Alternate key
• Composite/Compound Key
• Unique Key
• Foreign Key
19. Super Key and Primary Key
1. Super Key
Super key can be defined as a set of one or more than one keys that can be used to identify a
record/data uniquely in a table. This key includes only those fields which includes unique value as if we
take an example of Employee than Employee_Id will be the field which includes unique value and it
become easy to identify the employee from Employee_Id field.
For Example : -Keys which can be the subset of Super Key are Primary key, Unique key and Alternate
key. As right now we don’t know about these keys so further we will discuss these keys.
2. Primary Key
Primary key can be defined as a set of one or more fields/columns of a table that uniquely identify a
record in database table. Record can be uniquely identify when the column which includes unique value
like Employee_Id of employee from an organization. It will not accept null values and duplicate values.
Only one primary key can be exist in a single table not more than one.
For Example:- Suppose a table consist of Employee data with fields Employee_Name,
Employee_Address,Employee_Id and Employee_Designation so in this table only one field is there which
is used to uniquely identify detail of Employee that is Employee_Id.
20. Unique Key and Alternate Key
3. Unique Key
Unique key can be defined as a set of one or more fields/columns of a table that have the capability to
uniquely identify a record in database table. We can have other fields also in a table beyond primary key
which are also able to uniquely identify the record. It can accept only one null value and it can not have
duplicate values in it.
For Example:-Suppose a table consist of Employee data with fields Employee_Name,
Employee_Address,Employee_Id , Employee_Designation and Employee_PhoneNo so in this table except
Employee_Id we also have an another field named Employee_PhoneNo which is can also be used to
uniquely identify the record and can termed as Unique Key.
4. Alternate key
Alternate key can be defined as a key that can be work as a primary key if required. We can also
understand this key as a candidate for primary key as candidate key but right now it is not a primary key.
For Example:- Suppose a table consist of Employee data with fields Employee_Name,
Employee_Address,Employee_Id , Employee_Designation and Employee_PhoneNo in this case
Employee_PhoneNo can be the alternate key as it is also suitable to identify the record uniquely but right
now it is not primary key.
21. table like primary key or we can also say that other fields than primary key which can become primary key and a
table can have more than one candidate key. Each candidate key can work as primary key if required in any
case.
For Example:- Suppose a table consist of Employee data with fields Employee_Name,
Employee_Address,Employee_Id , Employee_Designation.Employee_PANNo and Employee_PhoneNo in this table
Employee_PhoneNo and Employee_PANNo are Candidate Keys as these two fields can also work as candidate key.
6. Composite/Compound Key
Composite Key can be defined as a combination of more than one fields/columns of a table to uniquely identify
the record. Fields which can be combine to make composite key can be candidate, primary key.
For Example:-Suppose a table consist of Employee data with fields Employee_Name,
Employee_Address,Employee_Id , Employee_Designation, Employee_PANNo and Employee_PhoneNo in this table
to build a composite key we combine Employee_Id and Employee_PhoneNo to fetch data from table.
7. Foreign Key
Foreign Key can be defined as a field/column in the Company table that is Primary key in Employee table. It can
also accept multiple null values and duplicate values. This can be easily understand with the help of example
given below.
For Example:- We can have a Employee_Id column in the Company table which is pointing to Employee_Id
column in a Employee table where it a primary key. So with the help of foreign key we can easily identify the
data from tables.
23. Update Record
UPDATE table_name
SET which columns to change
WHERE condition
Example
mysql> UPDATE student SET Year=‘4' WHERE Student_name='Shannon';
Query OK, 1 row affected (0.00 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> SELECT * FROM student WHERE Student_name=‘Shannon’;
+------------+---------------+--------+--------+--------+
| Student_name | student_ID | Branch |Year |
+------------+---------------+--------+--------+--------+
| Rms Yadav | 101 | CS | 4 |
+------------+---------------+--------+--------+--------+
1 row in set (0.00 sec)
24. Delete Record
DELETE FROM table_name WHERE condition
Example
mysql> DELETE FROM student WHERE Student_name=‘Rms Yadav';
Query OK, 1 row affected (0.00 sec)
Mysql> DELETE FROM student;
Will delete ALL student records
25. Drop Table
DROP TABLE table_name
Example
mysql> drop table student;
Query OK, 0 rows affected (0.00 sec)
Logout MySQL
mysq> quit;
26. SQL JOIN
OrderID CustomerID OrderDate
10308 2 1996-09-18
10309 37 1996-09-19
10310 77 1996-09-20
A JOIN clause is used to combine rows from two or more tables, based on a related column
between them.
Let's look at a selection from the "Orders" table:
27. Customer
ID
CustomerName ContactName Country
1 Alfreds Futterkiste Maria Anders Germany
2 Ana Trujillo
Emparedados y
helados
Ana Trujillo Mexico
3 Antonio Moreno
Taquería
Antonio Moreno Mexico
Customer
ID
CustomerName ContactName Country
1 Alfreds Futterkiste Maria Anders Germany
2 Ana Trujillo
Emparedados y
helados
Ana Trujillo Mexico
3 Antonio Moreno
Taquería
Antonio Moreno Mexico
Then, look at a selection from the "Customers" table:
28. OrderID CustomerName OrderDat
e
10308 Ana Trujillo Emparedados y helados 9/18/199
6
10365 Antonio Moreno Taquería 11/27/19
96
10383 Around the Horn 12/16/19
96
10355 Around the Horn 11/15/19
96
10278 Berglunds snabbköp 8/12/199
6
Notice that the "CustomerID" column in the "Orders" table refers to the "CustomerID" in the
"Customers" table. The relationship between the two tables above is the "CustomerID" column.
Then, we can create the following SQL statement (that contains an INNER JOIN), that selects
records that have matching values in both tables:
Example
SELECT Orders.OrderID, Customers.CustomerName, Orders.OrderDate
FROM Orders
INNER JOIN Customers ON Orders.CustomerID= Customers.CustomerID;
29. Different Types of SQL JOINs
Different Types of SQL JOINs
Here are the different types of the JOINs in SQL:
1.(INNER) JOIN: Returns records that have matching values in both tables
30. SQL LEFT JOIN Keyword
The LEFT JOIN keyword returns all records from the left table (table1), and the matched
records from the right table (table2). The result is NULL from the right side, if there is no
match.
LEFT JOIN Syntax
SELECT column_name(s)
FROM table1
LEFT JOIN table2 ON table1.column_name = table2.column_name;
31. SQL RIGHT JOIN Keyword
The RIGHT JOIN keyword returns all records from the right table
(table2), and the matched records from the left table (table1). The
result is NULL from the left side, when there is no match.
RIGHT JOIN Syntax
SELECT column_name(s)
FROM table1
RIGHT JOIN table2 ON table1.column_name = table2.column_name;
32. SQL FULL OUTER JOIN Keyword
SQL FULL OUTER JOIN Keyword
The FULL OUTER JOIN keyword return all records when there is a
match in either left (table1) or right (table2) table records.
Note: FULL OUTER JOIN can potentially return very large result-sets!