Les01 (retrieving data using the sql select statement)

Mar 16, 20104 likes2,013 views

This document provides an overview of using SQL SELECT statements and the iSQLPlus environment to retrieve and work with data. It covers the basic capabilities and syntax of SELECT statements including selecting all or specific columns, arithmetic expressions, aliases, and null values. It also describes interacting with the iSQLPlus environment, such as describing table structures, running SQL statements from scripts, and setting preferences. The key aspects of SQL statements and iSQLPlus commands are differentiated.

Retrieving Data Using the SQL SELECT Statement

Objectives After completing this lesson, you should be able to do the following: List the capabilities of SQL SELECT statements Execute a basic SELECT statement Differentiate between SQL statements and i SQL*Plus commands

Capabilities of SQL SELECT Statements Selection Projection Table 1 Table 2 Table 1 Table 1 Join

Basic SELECT Statement SELECT identifies the columns to be displayed. FROM identifies the table containing those columns. SELECT *|{[DISTINCT] column | expression [ alias ],...} FROM table;

Selecting All Columns SELECT * FROM departments;

Selecting Specific Columns SELECT department_id, location_id FROM departments;

Writing SQL Statements SQL statements are not case sensitive. SQL statements can be on one or more lines. Keywords cannot be abbreviated or split across lines. Clauses are usually placed on separate lines. Indents are used to enhance readability. In i SQL*Plus, SQL statements can optionally be terminated by a semicolon (;). Semicolons are required if you execute multiple SQL statements. In SQL*Plus, you are required to end each SQL statement with a semicolon (;).

Column Heading Defaults i SQL*Plus: Default heading alignment: Center Default heading display: Uppercase SQL*Plus: Character and Date column headings are left-aligned Number column headings are right-aligned Default heading display: Uppercase

Arithmetic Expressions Create expressions with number and date data by using arithmetic operators. Multiply * Divide / Subtract - Add + Description Operator

Using Arithmetic Operators SELECT last_name, salary, salary + 300 FROM employees; …

Operator Precedence SELECT last_name, salary, 12*salary+100 FROM employees; SELECT last_name, salary, 12*(salary+100) FROM employees; 1 2 … …

Defining a Null Value A null is a value that is unavailable, unassigned, unknown, or inapplicable. A null is not the same as a zero or a blank space. SELECT last_name, job_id, salary, commission_pct FROM employees; … …

Null Values in Arithmetic Expressions Arithmetic expressions containing a null value evaluate to null. SELECT last_name, 12*salary*commission_pct FROM employees; … …

Defining a Column Alias A column alias: Renames a column heading Is useful with calculations Immediately follows the column name (There can also be the optional AS keyword between the column name and alias.) Requires double quotation marks if it contains spaces or special characters or if it is case sensitive

Using Column Aliases SELECT last_name "Name" , salary*12 "Annual Salary" FROM employees; SELECT last_name AS name, commission_pct comm FROM employees; … …

Concatenation Operator A concatenation operator: Links columns or character strings to other columns Is represented by two vertical bars (||) Creates a resultant column that is a character expression SELECT last_name||job_id AS "Employees" FROM employees; …

Literal Character Strings A literal is a character, a number, or a date that is included in the SELECT statement. Date and character literal values must be enclosed by single quotation marks. Each character string is output once for each row returned.

Using Literal Character Strings … SELECT last_name ||' is a '||job_id AS "Employee Details" FROM employees;

Alternative Quote ( q ) Operator Specify your own quotation mark delimiter Choose any delimiter Increase readability and usability SELECT department_name || q'[, it's assigned Manager Id: ]' || manager_id AS "Department and Manager" FROM departments; …

Duplicate Rows The default display of queries is all rows, including duplicate rows. SELECT department_id FROM employees; SELECT DISTINCT department_id FROM employees; … 1 2 …

SQL and i SQL*Plus Interaction SQL statements Query results i SQL*Plus commands Client Formatted report Internet browser Oracle server

SQL Statements Versus i SQL*Plus Commands SQL statements SQL A language ANSI standard Keyword cannot be abbreviated Statements manipulate data and table definitions in the database i SQL*Plus An environment Oracle-proprietary Keywords can be abbreviated Commands do not allow manipulation of values in the database Runs on a browser Centrally loaded; does not have to be implemented on each machine i SQL*Plus commands

Overview of i SQL*Plus After you log in to i SQL*Plus, you can: Describe table structures Enter, execute, and edit SQL statements Save or append SQL statements to files Execute or edit statements that are stored in saved script files

Logging In to i SQL*Plus From your browser environment:

i SQL*Plus Environment 6 3 4 5 1 2 8 9 7

Displaying Table Structure Use the i SQL*Plus DESCRIBE command to display the structure of a table: DESC[RIBE] tablename

Displaying Table Structure DESCRIBE employees

Interacting with Script Files SELECT last_name, hire_date, salary FROM employees; 1 2

$Interacting with Script Files 2 3 D:\TEMP\emp_data.sql$

Setting the Output Location Preference 1 2

Summary In this lesson, you should have learned how to: Write a SELECT statement that: Returns all rows and columns from a table Returns specified columns from a table Uses column aliases to display more descriptive column headings Use the i SQL*Plus environment to write, save, and execute SQL statements and i SQL*Plus commands SELECT *|{[DISTINCT] column|expression [ alias ],...} FROM table;

Practice 1: Overview This practice covers the following topics: Selecting all data from different tables Describing the structure of tables Performing arithmetic calculations and specifying column names Using i SQL*Plus

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TREN DAN IDE RISET BIDANG DATA MINING TERBARUAchmad Solichin

Metodologi Riset: Literature ReviewAchmad Solichin

Materi Seminar: Artificial Intelligence dengan PHPAchmad Solichin

The document discusses artificial intelligence and its implementation using PHP. It begins with definitions of artificial intelligence and describes how AI works and common AI methods. It then provides examples of AI implementations in areas like fraud detection, text classification, and image processing. The document introduces PHP libraries that can be used to develop AI applications with PHP, such as PHP-ML and Rubix ML. It highlights various machine learning algorithms and features supported by these libraries and provides code demos. In the end, the document emphasizes that AI will not surpass human intelligence, which created it, and that human intelligence will also not surpass the intelligence of its creator, God.

Percobaan Perpindahan Kalor melalui Konduksi, Konveksi dan RadiasiAchmad Solichin

Metodologi Riset: Literature ReviewAchmad Solichin

Depth First Search (DFS) pada GraphAchmad Solichin

Breadth First Search (BFS) pada GraphAchmad Solichin

Binary Search Tree (BST) - Algoritma dan Struktur DataAchmad Solichin

Computer Vision di Era Industri 4.0Achmad Solichin

Seminar: Become a Reliable Web ProgrammerAchmad Solichin

The Big 5: Future IT TrendsAchmad Solichin

1) The document discusses trends in information technology and how to deal with them. It identifies the top 5 IT trends as next-gen mobile devices, social media, cloud computing, the Internet of Things, and big data. 2) It also lists the 10 most popular IT professions as data scientist, entry-level engineer, UX designer, quality assurance manager, analytics manager, and others related to development, architecture, and machine learning. 3) Finally, the document provides references and contact information for Achmad Solichin, the author who works at Universitas Budi Luhur in Jakarta.

Modern PHP DeveloperAchmad Solichin

Seminar: PHP Developer for DummiesAchmad Solichin

Pertemuan 1 - Algoritma dan Struktur Data 1Achmad Solichin

Kuliah Umum - Tips Publikasi Jurnal SINTA untuk Mahasiswa Galau (6 Agustus 2022)Achmad Solichin

Materi Webinar Web 3.0 (16 Juli 2022)Achmad Solichin

Webinar: Kesadaran Keamanan Informasi (3 Desember 2021)Achmad Solichin

Webinar PHP-ID: Mari Mengenal Logika Fuzzy (Fuzzy Logic)Achmad Solichin

Webinar PHP-ID: Machine Learning dengan PHPAchmad Solichin

Webinar Data Mining dengan Rapidminer | Universitas Budi LuhurAchmad Solichin

TREN DAN IDE RISET BIDANG DATA MINING TERBARUAchmad Solichin

Metodologi Riset: Literature ReviewAchmad Solichin

Materi Seminar: Artificial Intelligence dengan PHPAchmad Solichin

Percobaan Perpindahan Kalor melalui Konduksi, Konveksi dan RadiasiAchmad Solichin

Metodologi Riset: Literature ReviewAchmad Solichin

Depth First Search (DFS) pada GraphAchmad Solichin

Breadth First Search (BFS) pada GraphAchmad Solichin

Binary Search Tree (BST) - Algoritma dan Struktur DataAchmad Solichin

Computer Vision di Era Industri 4.0Achmad Solichin

Seminar: Become a Reliable Web ProgrammerAchmad Solichin

The Big 5: Future IT TrendsAchmad Solichin

Modern PHP DeveloperAchmad Solichin

Seminar: PHP Developer for DummiesAchmad Solichin

Pertemuan 1 - Algoritma dan Struktur Data 1Achmad Solichin

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