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ewis:laboratoare:05 [2023/04/05 15:57]
alexandru.predescu
ewis:laboratoare:05 [2023/04/05 16:10] (current)
alexandru.predescu
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   * Relationships can exist between tables such as: //​one-to-one//,​ //​one-to-many//,​ //​many-to-many//​ and //​self-referencing//​.   * Relationships can exist between tables such as: //​one-to-one//,​ //​one-to-many//,​ //​many-to-many//​ and //​self-referencing//​.
    
-{{:​ewis:​laboratoare:​table_data_draw.png?​600|Table Data}}+{{:​ewis:​laboratoare:​table_data_draw.png?​500|Table Data}}
  
 {{:​ewis:​laboratoare:​table_definition_draw.png?​600|Table Definition}} {{:​ewis:​laboratoare:​table_definition_draw.png?​600|Table Definition}}
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 [WHERE conditions] [WHERE conditions]
 </​code>​ </​code>​
- 
  
 Syntax description:​ Syntax description:​
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   * column_name_k - the name of the column k   * column_name_k - the name of the column k
   * conditions - some additional conditions for data to be retrieved   * conditions - some additional conditions for data to be retrieved
 +  ​
 +== Examples ==
 +
 +The following examples present some SELECT queries that you can run to get data from the //company// database.
 +
 +<​note>​To run the examples, you should add some data into the database. You can use the following script: {{:​ewis:​laboratoare:​company_db.txt|Company Database File}} to make it easier to get started.</​note>​
 +
 +<code sql>
 +-- List all employees from the department with id 1 --
 +SELECT * FROM employee
 +WHERE department_id = 1;
 +</​code>​
 +
 +<code sql>
 +-- List the employees name and salary. Show only those having the salary between 5000 and 7000 EUR and order them descending by salary --
 +SELECT name, salary FROM employee
 +WHERE salary between 5000 and 7000
 +ORDER BY salary DESC;
 +</​code>​
 +
  
 +<​note>​
 The data can also be retrieved from one or more tables and there can be more complex clauses. The data can also be retrieved from one or more tables and there can be more complex clauses.
-<spoiler Click learn more>+<spoiler Click to learn more>
  
   * ''​GROUP BY''​ - groups rows sharing a property so that an aggregate function can be applied to each group   * ''​GROUP BY''​ - groups rows sharing a property so that an aggregate function can be applied to each group
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 </​code>​ </​code>​
 </​spoiler>​ </​spoiler>​
-  ​ 
-== Examples == 
  
-The following examples present some SELECT queries that you can run to get data from the //company// database.+</note>
  
-<​note>​To run the examples, you should add some data into the database. You can use the following script: {{:​ewis:​laboratoare:​company_db.txt|Company Database File}} to make it easier to get started.</​note>​ 
  
-<code sql> 
--- List all employees from the department with id 1 -- 
-SELECT * FROM employee 
-WHERE department_id = 1; 
-</​code>​ 
- 
-<code sql> 
--- List the employees name and salary. Show only those having the salary between 5000 and 7000 EUR and order them descending by salary -- 
-SELECT name, salary FROM employee 
-WHERE salary between 5000 and 7000 
-ORDER BY salary DESC; 
-</​code>​ 
  
 === UPDATE (modifying data) === === UPDATE (modifying data) ===
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 ** T0 (1p)** ​ Evaluate the example database (case study) and describe the relationships between the following tables: albums, songs, artists, categories. ** T0 (1p)** ​ Evaluate the example database (case study) and describe the relationships between the following tables: albums, songs, artists, categories.
  
-** T1 (5p)** ​ Create the example database in MySQL Workbench. See {{:​ewis:​laboratoare:​setup.pdf|MySQL Local Setup Tutorial}} for installing MySQL on your computer and {{:​ewis:​laboratoare:​workbench.pdf|MySQL Workbench Tutorial}} for working with MySQL Workbench and creating the example database (//​company//​ database). Take a screenshot to validate this step.+** T1 (5p)** ​ Create the example database in MySQL Workbench. See {{:​ewis:​laboratoare:​setup.pdf|MySQL Local Setup Tutorial}} for installing MySQL on your computer and {{:​ewis:​laboratoare:​workbench.pdf|MySQL Workbench Tutorial}} for working with MySQL Workbench and creating the example database (//​company//​ database). You can check the example presented in the DDL - CREATE TABLE section. Take a screenshot to validate this step.
  
 ** T2 (2p)** Run the SQL script ({{:​ewis:​laboratoare:​company_db.txt|Company Database File}}) to add data into the database. Take a screenshot to validate this step. ** T2 (2p)** Run the SQL script ({{:​ewis:​laboratoare:​company_db.txt|Company Database File}}) to add data into the database. Take a screenshot to validate this step.
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 ** T3 (2p)** Run 5 of the SQL queries (your choice) from the {{:​ewis:​laboratoare:​workbench.pdf|MySQL Workbench Tutorial}} (as shown below) and save the results for each query as screenshots or CSV files. ** T3 (2p)** Run 5 of the SQL queries (your choice) from the {{:​ewis:​laboratoare:​workbench.pdf|MySQL Workbench Tutorial}} (as shown below) and save the results for each query as screenshots or CSV files.
  
-<​spoiler ​click to view>+<​spoiler ​Click to view>
  
 <code sql> <code sql>
ewis/laboratoare/05.1680699472.txt.gz ยท Last modified: 2023/04/05 15:57 by alexandru.predescu
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