SlideShare une entreprise Scribd logo
1  sur  9
11  SQL SERVER: ADVANCEDQUERY CONCEPTS
Advanced Queries Having seen the basic concepts of SQL, let us divulge into the advanced query concepts. The Presentation consists of the following portions: ,[object Object]
  Any
  In
  Having,[object Object]
Nested Select Queries Consider the following tables of the Fisherman database: Fisherman FishCatch Table: Now, I wish to find the names of the fishermen who caught a bass (any type). The SQL query would be: select name from fisherman where fishermanid = any(selectfishermanID from FishCatch where fish like ‘%Bass%’) As you can see, any is used to compare a particular record’s field to that of multiple records.
Nested Select Queries The previous query can be rewritten using in as follows: Using ANY: select name from fisherman where fishermanid= any(selectfishermanID from FishCatch where fish like ‘%Bass%’) Using IN: select name from fisherman where fishermanidin(selectfishermanID from FishCatch where fish like ‘%Bass%’) NOTE: When using in remember NOT TO PUT THE ‘=‘ (Equal to ) operator
Usefulness of having ‘Having’ We have seen that there exists a restriction that the aggregate functions cannot be used in the right side of where clause. This syntactical restriction may lead to several inconveniences while programming. To understand this, see the following problem: Find the Fisherman who has caught 2 fishes: We might think of this solution: Select FishermanID from fishTable where count(fish) =2 But this doesn’t work as aggregate functions are not allowed on the right-side of where clause. So, how do we solve the problem? ‘Having’ is our answer.
Having Find the Fisherman who has caught 2 fishes: Solving with having: Select fishermanID from fishtable group by fishermanidhaving count(fish)=2

Contenu connexe

Tendances

Web app development_crud_13
Web app development_crud_13Web app development_crud_13
Web app development_crud_13Hassen Poreya
 
Ruby on Rails Developer - Allerin
Ruby on Rails Developer - AllerinRuby on Rails Developer - Allerin
Ruby on Rails Developer - AllerinLauree R
 
Backups with Exported Resources - Zach Leslie, Puppet Labs
Backups with Exported Resources - Zach Leslie, Puppet Labs Backups with Exported Resources - Zach Leslie, Puppet Labs
Backups with Exported Resources - Zach Leslie, Puppet Labs Puppet
 
Cara membuka workbook yang terproteksi
Cara membuka workbook yang terproteksiCara membuka workbook yang terproteksi
Cara membuka workbook yang terproteksiIrmaoly
 
第三回月次セミナー(公開版)
第三回月次セミナー(公開版)第三回月次セミナー(公開版)
第三回月次セミナー(公開版)moai kids
 
Database Connectivity in PHP
Database Connectivity in PHPDatabase Connectivity in PHP
Database Connectivity in PHPTaha Malampatti
 
Beginner guide to mysql command line
Beginner guide to mysql command lineBeginner guide to mysql command line
Beginner guide to mysql command linePriti Solanki
 
Multiple instance on windows
Multiple instance on windowsMultiple instance on windows
Multiple instance on windowsVasudeva Rao
 

Tendances (14)

Web app development_crud_13
Web app development_crud_13Web app development_crud_13
Web app development_crud_13
 
MySQL for beginners
MySQL for beginnersMySQL for beginners
MySQL for beginners
 
Ruby on Rails Developer - Allerin
Ruby on Rails Developer - AllerinRuby on Rails Developer - Allerin
Ruby on Rails Developer - Allerin
 
Backups with Exported Resources - Zach Leslie, Puppet Labs
Backups with Exported Resources - Zach Leslie, Puppet Labs Backups with Exported Resources - Zach Leslie, Puppet Labs
Backups with Exported Resources - Zach Leslie, Puppet Labs
 
Cara membuka workbook yang terproteksi
Cara membuka workbook yang terproteksiCara membuka workbook yang terproteksi
Cara membuka workbook yang terproteksi
 
Bootstrap
BootstrapBootstrap
Bootstrap
 
Mysql DBI
Mysql DBIMysql DBI
Mysql DBI
 
Introduction to php database connectivity
Introduction to php  database connectivityIntroduction to php  database connectivity
Introduction to php database connectivity
 
第三回月次セミナー(公開版)
第三回月次セミナー(公開版)第三回月次セミナー(公開版)
第三回月次セミナー(公開版)
 
Conexion php
Conexion phpConexion php
Conexion php
 
Database Connectivity in PHP
Database Connectivity in PHPDatabase Connectivity in PHP
Database Connectivity in PHP
 
Config BuildConfig
Config BuildConfigConfig BuildConfig
Config BuildConfig
 
Beginner guide to mysql command line
Beginner guide to mysql command lineBeginner guide to mysql command line
Beginner guide to mysql command line
 
Multiple instance on windows
Multiple instance on windowsMultiple instance on windows
Multiple instance on windows
 

Similaire à MS SQLSERVER:Advanced Query Concepts Copy

Why re-use core classes?
Why re-use core classes?Why re-use core classes?
Why re-use core classes?Levi Waldron
 
Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark Workl...
Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark Workl...Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark Workl...
Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark Workl...Databricks
 
Cassandra SF Meetup - CQL Performance With Apache Cassandra 3.X
Cassandra SF Meetup - CQL Performance With Apache Cassandra 3.XCassandra SF Meetup - CQL Performance With Apache Cassandra 3.X
Cassandra SF Meetup - CQL Performance With Apache Cassandra 3.Xaaronmorton
 
Oracle database tips
Oracle database tipsOracle database tips
Oracle database tipssriram raj
 

Similaire à MS SQLSERVER:Advanced Query Concepts Copy (7)

ZooKeeper JMX
ZooKeeper JMXZooKeeper JMX
ZooKeeper JMX
 
Why re-use core classes?
Why re-use core classes?Why re-use core classes?
Why re-use core classes?
 
Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark Workl...
Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark Workl...Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark Workl...
Analyzing the Performance Effects of Meltdown + Spectre on Apache Spark Workl...
 
Cdc
CdcCdc
Cdc
 
Java New Features
Java New FeaturesJava New Features
Java New Features
 
Cassandra SF Meetup - CQL Performance With Apache Cassandra 3.X
Cassandra SF Meetup - CQL Performance With Apache Cassandra 3.XCassandra SF Meetup - CQL Performance With Apache Cassandra 3.X
Cassandra SF Meetup - CQL Performance With Apache Cassandra 3.X
 
Oracle database tips
Oracle database tipsOracle database tips
Oracle database tips
 

Plus de sqlserver content

MS SQL SERVER: Using the data mining tools
MS SQL SERVER: Using the data mining toolsMS SQL SERVER: Using the data mining tools
MS SQL SERVER: Using the data mining toolssqlserver content
 
MS SQL SERVER: SSIS and data mining
MS SQL SERVER: SSIS and data miningMS SQL SERVER: SSIS and data mining
MS SQL SERVER: SSIS and data miningsqlserver content
 
MS SQL SERVER: Programming sql server data mining
MS SQL SERVER:  Programming sql server data miningMS SQL SERVER:  Programming sql server data mining
MS SQL SERVER: Programming sql server data miningsqlserver content
 
MS SQL SERVER: Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data miningMS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER: Olap cubes and data miningsqlserver content
 
MS SQL SERVER: Microsoft time series algorithm
MS SQL SERVER: Microsoft time series algorithmMS SQL SERVER: Microsoft time series algorithm
MS SQL SERVER: Microsoft time series algorithmsqlserver content
 
MS SQL SERVER: Microsoft sequence clustering and association rules
MS SQL SERVER: Microsoft sequence clustering and association rulesMS SQL SERVER: Microsoft sequence clustering and association rules
MS SQL SERVER: Microsoft sequence clustering and association rulessqlserver content
 
MS SQL SERVER: Neural network and logistic regression
MS SQL SERVER: Neural network and logistic regressionMS SQL SERVER: Neural network and logistic regression
MS SQL SERVER: Neural network and logistic regressionsqlserver content
 
MS SQL SERVER: Microsoft naive bayes algorithm
MS SQL SERVER: Microsoft naive bayes algorithmMS SQL SERVER: Microsoft naive bayes algorithm
MS SQL SERVER: Microsoft naive bayes algorithmsqlserver content
 
MS SQL SERVER: Decision trees algorithm
MS SQL SERVER: Decision trees algorithmMS SQL SERVER: Decision trees algorithm
MS SQL SERVER: Decision trees algorithmsqlserver content
 
MS SQL Server: Data mining concepts and dmx
MS SQL Server: Data mining concepts and dmxMS SQL Server: Data mining concepts and dmx
MS SQL Server: Data mining concepts and dmxsqlserver content
 
MS Sql Server: Reporting models
MS Sql Server: Reporting modelsMS Sql Server: Reporting models
MS Sql Server: Reporting modelssqlserver content
 
MS Sql Server: Reporting manipulating data
MS Sql Server: Reporting manipulating dataMS Sql Server: Reporting manipulating data
MS Sql Server: Reporting manipulating datasqlserver content
 
MS Sql Server: Reporting introduction
MS Sql Server: Reporting introductionMS Sql Server: Reporting introduction
MS Sql Server: Reporting introductionsqlserver content
 
MS Sql Server: Reporting basics
MS Sql  Server: Reporting basicsMS Sql  Server: Reporting basics
MS Sql Server: Reporting basicssqlserver content
 
MS Sql Server: Datamining Introduction
MS Sql Server: Datamining IntroductionMS Sql Server: Datamining Introduction
MS Sql Server: Datamining Introductionsqlserver content
 
MS Sql Server: Business Intelligence
MS Sql Server: Business IntelligenceMS Sql Server: Business Intelligence
MS Sql Server: Business Intelligencesqlserver content
 
MS SQLSERVER:Feeding Data Into Database
MS SQLSERVER:Feeding Data Into DatabaseMS SQLSERVER:Feeding Data Into Database
MS SQLSERVER:Feeding Data Into Databasesqlserver content
 
MS SQLSERVER:Doing Calculations With Functions
MS SQLSERVER:Doing Calculations With FunctionsMS SQLSERVER:Doing Calculations With Functions
MS SQLSERVER:Doing Calculations With Functionssqlserver content
 
MS SQLSERVER:Deleting A Database
MS SQLSERVER:Deleting A DatabaseMS SQLSERVER:Deleting A Database
MS SQLSERVER:Deleting A Databasesqlserver content
 
MS SQLSERVER:Customizing Your D Base Design
MS SQLSERVER:Customizing Your D Base DesignMS SQLSERVER:Customizing Your D Base Design
MS SQLSERVER:Customizing Your D Base Designsqlserver content
 

Plus de sqlserver content (20)

MS SQL SERVER: Using the data mining tools
MS SQL SERVER: Using the data mining toolsMS SQL SERVER: Using the data mining tools
MS SQL SERVER: Using the data mining tools
 
MS SQL SERVER: SSIS and data mining
MS SQL SERVER: SSIS and data miningMS SQL SERVER: SSIS and data mining
MS SQL SERVER: SSIS and data mining
 
MS SQL SERVER: Programming sql server data mining
MS SQL SERVER:  Programming sql server data miningMS SQL SERVER:  Programming sql server data mining
MS SQL SERVER: Programming sql server data mining
 
MS SQL SERVER: Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data miningMS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER: Olap cubes and data mining
 
MS SQL SERVER: Microsoft time series algorithm
MS SQL SERVER: Microsoft time series algorithmMS SQL SERVER: Microsoft time series algorithm
MS SQL SERVER: Microsoft time series algorithm
 
MS SQL SERVER: Microsoft sequence clustering and association rules
MS SQL SERVER: Microsoft sequence clustering and association rulesMS SQL SERVER: Microsoft sequence clustering and association rules
MS SQL SERVER: Microsoft sequence clustering and association rules
 
MS SQL SERVER: Neural network and logistic regression
MS SQL SERVER: Neural network and logistic regressionMS SQL SERVER: Neural network and logistic regression
MS SQL SERVER: Neural network and logistic regression
 
MS SQL SERVER: Microsoft naive bayes algorithm
MS SQL SERVER: Microsoft naive bayes algorithmMS SQL SERVER: Microsoft naive bayes algorithm
MS SQL SERVER: Microsoft naive bayes algorithm
 
MS SQL SERVER: Decision trees algorithm
MS SQL SERVER: Decision trees algorithmMS SQL SERVER: Decision trees algorithm
MS SQL SERVER: Decision trees algorithm
 
MS SQL Server: Data mining concepts and dmx
MS SQL Server: Data mining concepts and dmxMS SQL Server: Data mining concepts and dmx
MS SQL Server: Data mining concepts and dmx
 
MS Sql Server: Reporting models
MS Sql Server: Reporting modelsMS Sql Server: Reporting models
MS Sql Server: Reporting models
 
MS Sql Server: Reporting manipulating data
MS Sql Server: Reporting manipulating dataMS Sql Server: Reporting manipulating data
MS Sql Server: Reporting manipulating data
 
MS Sql Server: Reporting introduction
MS Sql Server: Reporting introductionMS Sql Server: Reporting introduction
MS Sql Server: Reporting introduction
 
MS Sql Server: Reporting basics
MS Sql  Server: Reporting basicsMS Sql  Server: Reporting basics
MS Sql Server: Reporting basics
 
MS Sql Server: Datamining Introduction
MS Sql Server: Datamining IntroductionMS Sql Server: Datamining Introduction
MS Sql Server: Datamining Introduction
 
MS Sql Server: Business Intelligence
MS Sql Server: Business IntelligenceMS Sql Server: Business Intelligence
MS Sql Server: Business Intelligence
 
MS SQLSERVER:Feeding Data Into Database
MS SQLSERVER:Feeding Data Into DatabaseMS SQLSERVER:Feeding Data Into Database
MS SQLSERVER:Feeding Data Into Database
 
MS SQLSERVER:Doing Calculations With Functions
MS SQLSERVER:Doing Calculations With FunctionsMS SQLSERVER:Doing Calculations With Functions
MS SQLSERVER:Doing Calculations With Functions
 
MS SQLSERVER:Deleting A Database
MS SQLSERVER:Deleting A DatabaseMS SQLSERVER:Deleting A Database
MS SQLSERVER:Deleting A Database
 
MS SQLSERVER:Customizing Your D Base Design
MS SQLSERVER:Customizing Your D Base DesignMS SQLSERVER:Customizing Your D Base Design
MS SQLSERVER:Customizing Your D Base Design
 

Dernier

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 

Dernier (20)

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 

MS SQLSERVER:Advanced Query Concepts Copy

  • 1. 11 SQL SERVER: ADVANCEDQUERY CONCEPTS
  • 2.
  • 5.
  • 6. Nested Select Queries Consider the following tables of the Fisherman database: Fisherman FishCatch Table: Now, I wish to find the names of the fishermen who caught a bass (any type). The SQL query would be: select name from fisherman where fishermanid = any(selectfishermanID from FishCatch where fish like ‘%Bass%’) As you can see, any is used to compare a particular record’s field to that of multiple records.
  • 7. Nested Select Queries The previous query can be rewritten using in as follows: Using ANY: select name from fisherman where fishermanid= any(selectfishermanID from FishCatch where fish like ‘%Bass%’) Using IN: select name from fisherman where fishermanidin(selectfishermanID from FishCatch where fish like ‘%Bass%’) NOTE: When using in remember NOT TO PUT THE ‘=‘ (Equal to ) operator
  • 8. Usefulness of having ‘Having’ We have seen that there exists a restriction that the aggregate functions cannot be used in the right side of where clause. This syntactical restriction may lead to several inconveniences while programming. To understand this, see the following problem: Find the Fisherman who has caught 2 fishes: We might think of this solution: Select FishermanID from fishTable where count(fish) =2 But this doesn’t work as aggregate functions are not allowed on the right-side of where clause. So, how do we solve the problem? ‘Having’ is our answer.
  • 9. Having Find the Fisherman who has caught 2 fishes: Solving with having: Select fishermanID from fishtable group by fishermanidhaving count(fish)=2
  • 10.
  • 11. In
  • 13.