DML Part 1 Yogiek Indra Kurniawan. All Files Can Be Downloaded at : Menu : “Perkuliahan”

Slides:



Advertisements
Similar presentations
Manipulating Data Schedule: Timing Topic 60 minutes Lecture
Advertisements

10 Copyright © Oracle Corporation, All rights reserved. Including Constraints.
8 Copyright © Oracle Corporation, All rights reserved. Manipulating Data.
Copyright  Oracle Corporation, All rights reserved. 9 Manipulating Data: INSERT, UPDATE, DELETE.
At the end of this lesson, you should be able to: Describe each DML statement Insert rows into a table Update rows in a table Delete rows from a table.
4 Copyright © Oracle Corporation, All rights reserved. Displaying Data from Multiple Tables.
15 Structured Query Language (SQL). 2 Objectives After completing this section, you should be able to: Understand Structured Query Language (SQL) and.
4-1 Copyright  Oracle Corporation, All rights reserved. Data Manipulation Language (DML)
10 Copyright © 2009, Oracle. All rights reserved. Using DDL Statements to Create and Manage Tables.
1 Copyright © 2006, Oracle. All rights reserved. Using DDL Statements to Create and Manage Tables.
Copyright © 2004, Oracle. All rights reserved. Using DDL Statements to Create and Manage Tables.
SQL (DDL & DML Commands)
DEFAULT Values and the MERGE Statement. 2 home back first prev next last What Will I Learn? Understand when to specify a DEFAULT value. Construct and.
Lecture 2: Using DDL Statements to Create and Manage Tables & Indexes
10 Copyright © Oracle Corporation, All rights reserved. Including Constraints.
20 Copyright © Oracle Corporation, All rights reserved. Oracle9 i Extensions to DML and DDL Statements.
11 Copyright © Oracle Corporation, All rights reserved. Creating Views.
Objectives After completing this lesson, you should be able to do the following: Describe each data manipulation language (DML) statement Insert rows.
Chapter 2 Views. Objectives ◦ Create simple and complex views ◦ Creating a view with a check constraint ◦ Retrieve data from views ◦ Data manipulation.
Manipulating Data in PL/SQL. 2 home back first prev next last What Will I Learn? Construct and execute PL/SQL statements that manipulate data with DML.
Manipulating Large Data Sets. Lesson Agenda ◦ Manipulating data using subqueries ◦ Specifying explicit default values in the INSERT and UPDATE statements.
DatabaseDatabase cs453 Lab5 1 Ins.Ebtesam AL-Etowi.
4 Copyright © 2007, Oracle. All rights reserved. Manipulating Large Data Sets.
8 Copyright © Oracle Corporation, All rights reserved. Manipulating Data.
Database Programming Sections 7 & 8 – Data Manipulation Language (DML) transaction, INSERT, implicit, explicit, USER, UPDATE, DELETE, integrity constraint,
Copyright © 2004, Oracle. All rights reserved. MANIPULATING LARGE DATA SETS Oracle Lecture 10.
3 Copyright © 2006, Oracle. All rights reserved. Manipulating Large Data Sets.
10 Copyright © Oracle Corporation, All rights reserved. Including Constraints.
Database Lab Lecture 1. Database Languages Data definition language ( DDL ) Data definition language –defines data types and the relationships among them.
SQL: Part 1 Original materials supplied by the Oracle Academic Initiative (OAI). Edited for classroom use by Professor Laku Chidambaram. Not for commercial.
9 Copyright © 2004, Oracle. All rights reserved. Using DDL Statements to Create and Manage Schema Objects.
INCLUDING CONSTRAINTS lecture5. Outlines  What are Constraints ?  Constraint Guidelines  Defining Constraint  NOT NULL constraint  Unique constraint.
1 SQL SQL (Structured Query Language) : is a database language that is used to create, modify and update database design and data. Good Example of DBMS’s.
Manipulating Data. Objectives After completing this lesson, you should be able to do the following: Describe each DML statement Insert rows into a table.
INSERT Statement. 2 home back first prev next last What Will I Learn? Give examples of why it is important to be able to alter the data in a database.
9 Manipulating Data. 9-2 Objectives At the end of this lesson, you should be able to: Describe each DML statement Insert rows into a table Update rows.
Database Programming Sections 7–Multi-row sub queries, IN, ANY, ALL, Data Manipulation Language (DML) transaction, INSERT, implicit, explicit, USER, UPDATE,
Copyright © 2004, Oracle. All rights reserved. Lecture 2: Using DDL Statements to Create and Manage Tables & Indexes ORACLE.
Database Programming Sections 7– Data Manipulation Language (DML) transaction, INSERT, implicit, explicit, USER, UPDATE, DELETE, integrity constraint,
Including Constraints. What Are Constraints? Constraints enforce rules at the table level. You can use constraints to do the following: – Enforce rules.
Simple Queries DBS301 – Week 1. Objectives Basic SELECT statement Computed columns Aliases Concatenation operator Use of DISTINCT to eliminate duplicates.
Copyright © 2004, Oracle. All rights reserved. M ANIPULATING D ATA.
Oracle 10g Retrieving Data Using the SQL SELECT Statement.
1 Copyright © 2009, Oracle. All rights reserved. Retrieving Data Using the SQL SELECT Statement.
Database Programming Sections 7 & 8 – Data Manipulation Language (DML) transaction, INSERT, implicit, explicit, USER, UPDATE, DELETE, integrity constraint,
Insert, update, delete TCL. Data Manipulation Language – A DML statement is executed when you: Add new rows to a table Modify existing rows in a table.
Manipulating Data Schedule: Timing Topic 60 minutes Lecture
Interacting with the Oracle Server
ATS Application Programming: Java Programming
Manipulating Data.
Manipulating Data.
Manipulating Data Schedule: Timing Topic 60 minutes Lecture
Database Programming Sections 7 & 8 – Data Manipulation Language (DML) transaction, INSERT, implicit, explicit, USER, UPDATE, DELETE, integrity constraint,
Manipulating Data Schedule: Timing Topic 40 minutes Lecture
Manipulating Data.
Manipulating Data.
处理数据 Schedule: Timing Topic 60 minutes Lecture 30 minutes Practice
Restricting and Sorting Data
Manipulating Large Data Sets
Chapter 2 Views.
“Manipulating Data” Lecture 6.
(SQL) Manipulating Data
Manipulating Data.
“Manipulating Data” Lecture 6.
Manipulating Data.
Chapter 2 Views.
1 Manipulating Data. 2 Objectives After completing this lesson, you should be able to do the following:  Describe each data manipulation language (DML)
DATABASE ADMINISTRATION
Including Constraints
Presentation transcript:

DML Part 1 Yogiek Indra Kurniawan

All Files Can Be Downloaded at : Menu : “Perkuliahan”

Objectives After completing this lesson, you should be able to do the following: Describe each DML statement Insert rows into a table Update rows in a table Delete rows from a table Merge rows in a table Control transactions

Outline Overview DML Syntax –Insert Syntax –Update Syntax –Delete Syntax –Merge Syntax

Data Manipulation Language A DML statement is executed when you: –Add new rows to a table –Modify existing rows in a table –Remove existing rows from a table A transaction consists of a collection of DML statements that form a logical unit of work.

Adding a New Row to a Table DEPARTMENTS New row … …insert a new row into the DEPARMENTS table…

Adding a New Row to a Table You can add new rows to a table by issuing the INSERT statement. In the syntax: tableis the name of the table columnis the name of the column in the table to populate valueis the corresponding value for the column

The INSERT Statement Syntax Add new rows to a table by using the INSERT statement. Only one row is inserted at a time with this syntax. INSERT INTOtable [(column [, column...])] VALUES(value [, value...]); INSERT INTOtable [(column [, column...])] VALUES(value [, value...]);

Inserting New Rows Insert a new row containing values for each column. List values in the default order of the columns in the table. Optionally, list the columns in the INSERT clause. Enclose character and date values within single quotation marks. INSERT INTO departments(department_id, department_name, manager_id, location_id) VALUES (70, 'Public Relations', 100, 1700); 1 row created.

Adding a New Row to a Table Because you can insert a new row that contains values for each column, the column list is not required in the INSERT clause. However, if you do not use the column list, the values must be listed according to the default order of the columns in the table, and a value must be provided for each column.

INSERT INTOdepartments VALUES(100, 'Finance', NULL, NULL); 1 row created. INSERT INTOdepartments (department_id, department_name ) VALUES(30, 'Purchasing'); 1 row created. Inserting Rows with Null Values Implicit method: Omit the column from the column list. Explicit method: Specify the NULL keyword in the VALUES clause.

INSERT INTO employees (employee_id, first_name, last_name, , phone_number, hire_date, job_id, salary, commission_pct, manager_id, department_id) VALUES (113, 'Louis', 'Popp', 'LPOPP', ' ', SYSDATE, 'AC_ACCOUNT', 6900, NULL, 205, 100); 1 row created. Inserting Special Values The SYSDATE function records the current date and time.

Copying Rows from Another Table You can use the INSERT statement to add rows to a table where the values are derived from existing tables. In place of the VALUES clause, you use a subquery. Syntax INSERT INTO table [ column (, column) ] subquery; –To create a copy of the rows of a table, use SELECT * in the subquery.

Write your INSERT statement with a subquery. Do not use the VALUES clause. Match the number of columns in the INSERT clause to those in the subquery. INSERT INTO sales_reps(id, name, salary, commission_pct) SELECT employee_id, last_name, salary, commission_pct FROM employees WHERE job_id LIKE '%REP%'; 4 rows created. Copying Rows from Another Table

Changing Data in a Table EMPLOYEES Update rows in the EMPLOYEES table.

The UPDATE Statement Syntax Modify existing rows with the UPDATE statement. – In the syntax: –table is the name of the table –Column is the name of the column in the table to populate –Value is the corresponding value or subquery for the column –Condition identifies the rows to be updated and is composed of column names expressions, constants, subqueries, and comparison operators UPDATEtable SETcolumn = value [, column = value,...] [WHERE condition]; UPDATEtable SETcolumn = value [, column = value,...] [WHERE condition];

UPDATE employees SET department_id = 70 WHERE employee_id = 113; 1 row updated. Specific row or rows are modified if you specify the WHERE clause. All rows in the table are modified if you omit the WHERE clause. Updating Rows in a Table UPDATE copy_emp SET department_id = 110; 22 rows updated. UPDATE copy_emp SET department_id = 110; 22 rows updated.

UPDATE employees SET job_id = (SELECT job_id FROM employees WHERE employee_id = 205), salary = (SELECT salary FROM employees WHERE employee_id = 205) WHERE employee_id = 114; 1 row updated. Updating Two Columns with a Subquery Update employee 114’s job and salary to match that of employee 205.

UPDATE copy_emp SET department_id = (SELECT department_id FROM employees WHERE employee_id = 100) WHERE job_id = (SELECT job_id FROM employees WHERE employee_id = 200); 1 row updated. Updating Rows Based on Another Table Use subqueries in UPDATE statements to update rows in a table based on values from another table.

UPDATE employees * ERROR at line 1: ORA-02291: integrity constraint (HR.EMP_DEPT_FK) violated - parent key not found UPDATE employees * ERROR at line 1: ORA-02291: integrity constraint (HR.EMP_DEPT_FK) violated - parent key not found UPDATE employees SET department_id = 55 WHERE department_id = 110; UPDATE employees SET department_id = 55 WHERE department_id = 110; Updating Rows: Integrity Constraint Error Department number 55 does not exist

Delete a row from the DEPARTMENTS table. Removing a Row from a Table DEPARTMENTS

The DELETE Statement You can remove existing rows from a table by using the DELETE statement. DELETE [FROM] table [WHERE condition]; DELETE [FROM] table [WHERE condition];

Specific rows are deleted if you specify the WHERE clause. All rows in the table are deleted if you omit the WHERE clause. Deleting Rows from a Table DELETE FROM departments WHERE department_name = 'Finance'; 1 row deleted. DELETE FROM departments WHERE department_name = 'Finance'; 1 row deleted. DELETE FROM copy_emp; 22 rows deleted. DELETE FROM copy_emp; 22 rows deleted.

DELETE FROM employees WHERE department_id = (SELECT department_id FROM departments WHERE department_name LIKE '%Public%'); 1 row deleted. Deleting Rows Based on Another Table Use subqueries in DELETE statements to remove rows from a table based on values from another table.

Deleting Rows: Integrity Constraint Error DELETE FROM departments WHERE department_id = 60; DELETE FROM departments WHERE department_id = 60; DELETE FROM departments * ERROR at line 1: ORA-02292: integrity constraint (HR.EMP_DEPT_FK) violated - child record found DELETE FROM departments * ERROR at line 1: ORA-02292: integrity constraint (HR.EMP_DEPT_FK) violated - child record found You cannot delete a row that contains a primary key that is used as a foreign key in another table.

Using a Subquery in an INSERT Statement INSERT INTO (SELECT employee_id, last_name, , hire_date, job_id, salary, department_id FROM employees WHERE department_id = 50) VALUES (99999, 'Taylor', 'DTAYLOR', TO_DATE('07-JUN-99', 'DD-MON-RR'), 'ST_CLERK', 5000, 50); 1 row created. INSERT INTO (SELECT employee_id, last_name, , hire_date, job_id, salary, department_id FROM employees WHERE department_id = 50) VALUES (99999, 'Taylor', 'DTAYLOR', TO_DATE('07-JUN-99', 'DD-MON-RR'), 'ST_CLERK', 5000, 50); 1 row created.

Using a Subquery in an INSERT Statement Verify the results SELECT employee_id, last_name, , hire_date, job_id, salary, department_id FROM employees WHERE department_id = 50; SELECT employee_id, last_name, , hire_date, job_id, salary, department_id FROM employees WHERE department_id = 50;

Using Explicit Default Values INSERT INTO departments (department_id, department_name, manager_id) VALUES (300, 'Engineering', DEFAULT); INSERT INTO departments (department_id, department_name, manager_id) VALUES (300, 'Engineering', DEFAULT); UPDATE departments SET manager_id = DEFAULT WHERE department_id = 10; UPDATE departments SET manager_id = DEFAULT WHERE department_id = 10; DEFAULT with INSERT : DEFAULT with UPDATE :

The MERGE Statement Provides the ability to conditionally update or insert data into a database table Performs an UPDATE if the row exists, and an INSERT if it is a new row: –Avoids separate updates –Increases performance and ease of use –Is useful in data warehousing applications

The MERGE Statement Syntax You can conditionally insert or update rows in a table by using the MERGE statement. MERGE INTO table_name table_alias USING (table|view|sub_query) alias ON (join condition) WHEN MATCHED THEN UPDATE SET col1 = col_val1, col2 = col2_val WHEN NOT MATCHED THEN INSERT (column_list) VALUES (column_values); MERGE INTO table_name table_alias USING (table|view|sub_query) alias ON (join condition) WHEN MATCHED THEN UPDATE SET col1 = col_val1, col2 = col2_val WHEN NOT MATCHED THEN INSERT (column_list) VALUES (column_values);

MERGE INTO copy_emp c USING employees e ON (c.employee_id = e.employee_id) WHEN MATCHED THEN UPDATE SET c.first_name = e.first_name, c.last_name = e.last_name,... c.department_id = e.department_id WHEN NOT MATCHED THEN INSERT VALUES(e.employee_id, e.first_name, e.last_name, e. , e.phone_number, e.hire_date, e.job_id, e.salary, e.commission_pct, e.manager_id, e.department_id); Merging Rows Insert or update rows in the COPY_EMP table to match the EMPLOYEES table.

Merging Rows MERGE INTO copy_emp c USING employees e ON (c.employee_id = e.employee_id) WHEN MATCHED THEN UPDATE SET... WHEN NOT MATCHED THEN INSERT VALUES...; MERGE INTO copy_emp c USING employees e ON (c.employee_id = e.employee_id) WHEN MATCHED THEN UPDATE SET... WHEN NOT MATCHED THEN INSERT VALUES...; SELECT * FROM COPY_EMP; no rows selected SELECT * FROM COPY_EMP; no rows selected SELECT * FROM COPY_EMP; 20 rows selected. SELECT * FROM COPY_EMP; 20 rows selected.

Review Overview DML Syntax –Insert Syntax –Update Syntax –Delete Syntax –Merge Syntax