SELECTING DATA

SYNTAX | EXAMPLE | PRACTICE YOURSELF

If I want to analyze my data, for example considering I own a grocery shop, I want to find out the total products sold by me, I can make use of a simple SELECT Statement.

The select statement in SQL is used to ask the database for a specific set of information.

SYNTAX

41.png
 
 

Here, column1Name, column2Name are the values of the table you want to fetch from the database.

EXAMPLE

If I want to fetch the entire content of the table, then I can use the following syntax:

42.png

Here we are using a "*" to select all columns.

43.png

Figure 15.1. Select * from Table_Name

  •  If I want to analyze only the product prices, then the following Query can be used:

44.png

Figure 15.2. Analyzing the Product prices

PRACTICE YOURSELF 

45.png
 

Want More SQL Deep Dives

  1. SQL Introduction

  2. Database Overview

  3. Creating a Database

  4. Dropping a Database

  5. Table Fundamentals

  6. Table Types

  7. Datatypes in SQL

  8. DDL, DML, TCL & DCL

  9. Null & Not Null Values

  10. Creating Tables

  11. SQL - Constraints

  12. SQL - Index 

  13. SQL Inserting Data

  14. SQL Identity Columns

  15. Selecting Data

  16. Using Distinct

  17. SQL in NOT IN

  18. Using Top Clause

  19. Where Clause

  20. Group By

  21. Order By

  22. Having

  23. Exists

  24. Offset

  25. SQL - Operators

  26. Between

  27. Update

  28. Delete

  29. SQL - Aggregate Functions

  30. SQL - Introductions to Joins

  31. Table Alias

  32. SQL - Inner Join

  33. SQL - Left Join

  34. SQL - Right Join

  35. Full Join

  36. Self Join

  37. SQL Union

  38. Pivot

  39. Alter Command

  40. Limit Clause

  41. Truncate

  42. Drop

  43. Table Backup

  44. SQL - Normalization

  45. Subquery

  46. SQL - Views & Materialized Views

  47. Case Statement

  48. SQL Transactions

  49. SQL - Scaler Functions

  50. Working with Dates

  51. Grant revoke

  52. SQL - Performance Tunning

  53. Stored Procedure Basics

  54. Stuff function

  55. Keyword

  56. SQL - Miscellaneous