A Guide to Oracle9i 2Lesson A Objectives • Learn how to run a script to create database tables automatically • Learn how to insert data into database tables • Learn how to create databas
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Using SQL Queries to Insert,
Update, Delete, and View Data
Chapter 3
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Lesson A Objectives
• Learn how to run a script to create database tables
automatically
• Learn how to insert data into database tables
• Learn how to create database transactions and commit data
to the database
• Create search conditions in SQL queries
• Understand how to update and delete database records,
and how to truncate tables
• Learn how to create and use sequences to generate
surrogate key values automatically
• Learn how to grant and revoke database object privileges
Trang 3• Usually have sql extension
• To run from SQL*Plus:
– Start full file path (c:\temp\myfile.sql)
– @full file path (@c:\temp\myfile.sql)
– Extension can be omitted if it is sql
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Inserting Data into Tables
• INSERT command adds new records
• Field values should match column order, or be
specified in command
• INSERT INTO faculty (F_ID, F_LAST, F_FIRST,
F_MI, LOC_ID) VALUES (1, 'Cox', 'Kim', 'J', 9);
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Format Models
• Used to format data retrieved from database
• Can be used to format a date to display time
or a number to display as a currency
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Numerical Format Models
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Date Format Models
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Date Format Models
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Inserting Date and Interval Values
• Use to_date function to convert a character string to a date
– Specify date string and matching format model
– TO_DATE('08/24/2004', 'MM/DD/YYYY')
– TO_DATE('10:00 AM', 'HH:MI AM')
• Use functions to convert character strings to intervals
– TO_YMINTERVAL('4-9') inserts a positive interval of 4 years, 9
months
– TO_DSINTERVAL('0 01:15:00') inserts a positive interval of 4 days,
1 hour, 15 minutes, 0 seconds
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Inserting LOBs
• Before inserting LOB must insert a LOB locator
• LOB locator: a structure that contains information
that identifies the LOB data type and points to the
alternate memory location
• Write a program or use a utility to add LOB data to database
• Use EMPTY_BLOB() function to insert a LOB locator
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Creating Transactions and
Committing New Data
• Transaction: series of action queries that represent a logical unit of
work
• User can commit (save) changes
• User can roll back (discard) changes
• Pending transaction: a transaction waiting to be committed or
rolled back
• Oracle DBMS locks records associated with pending transactions
• Other users cannot view or modify locked records
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Commit and Roll Back in SQL*Plus
• Transactions begin automatically with first command
• Type COMMIT to commit changes
• Type ROLLBACK to roll back changes
Trang 14• Used in SELECT, UPDATE and DELETE statements
• WHERE fieldname comparison_operator
search_expression
• WHERE S_ID = 1
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Comparison Operators
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Creating Complex Search Conditions
• Combines multiple search conditions using the
AND,OR, and NOT logical operators.
• AND – both conditions must be true
• OR – one or both condition must be true
• NOT – opposite of actual value
• Use () to group logical operators
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Updating and Deleting Existing Table Records
• UPDATE:
– Updates field values in one or more records in a table
– Only one table may be updated at a time
– UPDATE tablename SET field1= new_value1, field2 = new_value2,
WHERE search condition;
• DELETE:
– Removes specific records from a database table
– If search condition is omitted, entire table data is removed
– DELETE FROM tablename WHERE search condition;
Trang 20– SELECT sequence_name.NEXTVAL FROM DUAL;
– INSERT INTO location LOC_ID)
VALUES(loc_id_sequence.NEXTVAL);
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Database Object Privileges
• Privileges must be granted so that other users can access objects in user schema
• GRANT privilege1, privilege2,…ON object_name TO user1,user2, ;
• REVOKE privilege1, privilege2, ON object_name FROM user1,
user2, ;
• To grant or revoke privileges for everyone use PUBLIC as user
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Lesson B Objectives
• Learn how to write SQL queries to retrieve data from
a single database table
• Create SQL queries that perform calculations on
retrieved data
• Use SQL group functions to summarize retrieved
data
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Retrieving Data from
a Single Database Table
• SELECT fieldname1, fieldname2, FROM
ownername.tablename WHERE search_condition;
• To select:
– All rows omit where clause
– All fields, use *: SELECT * FROM …
– Only unique field values: SELECT DISTINCT fieldname
• Search condition:
– Use comparison and logical operators
– IS NULL/IS NOT NULL to match/exclude NULL values
– IN/NOT IN to match set values
– LIKE with wildcards % and _ to match character strings
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Sorting Query Output
• Use ORDER BY sort_key_field(s)
• Default order is ascending, use DESC to sort descending
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Using Calculations in SQL Queries
• Calculations are performed by DBMS, result only sent to client
• Can use arithmetic operators (+, -, *, /)
• Place calculation in select clause: SELECT price * quantity
FROM …
• Calculations can be performed on NUMBER, DATE and
INTERVAL fields only
• Single-row functions: built in Oracle functions to perform
calculations and manipulate retrieved data values
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Oracle9i SQL Group Functions
• Group functions: perform an operation on a group of queried
rows and returns a single result
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Group By
• Use to group output by the field with duplicate values and apply group functions to the grouped data
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Having
• Use to place a search condition on results of group function
calculations
• Like “WHERE” for group functions
• HAVING group_function comparison_operator value
• HAVING SUM(capacity) >= 100
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Formatting Output in SQL*Plus
• To change default column headings:
– Specify alternate column headings: SELECT fieldname1
"heading1_text", fieldname2 "heading2_text",
– Use an alias for column headings: SELECT fieldname1 AS
alias_name1
• To change SQL*Plus line and page size settings
– Select Options/Environment on menu bar
– Modify linesize and pagesize to desired values
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Formatting Numbers and Dates
• Use to_char function with format models
• TO_CHAR(field_name, 'format_model')
• SELECT inv_id, TO_CHAR(inv_price, '$99,999.99')
FROM inventory WHERE item_id = 1;
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Lesson C Objectives
• Learn how to create SQL queries that join multiple tables
• Learn how to create nested SQL queries
• Understand how to combine query results using set operators
• Create and use database views
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Joining Multiple Tables
• Join: combine data from multiple database tables using foreign key references
• SELECT field1, field2, FROM table1, table2 WHERE
table1.joinfield = table2.joinfield AND search_condition(s);
• If tables share field names, must prefix field in select with table name (table1.field1, table2.field1)
• Join condition: part of where clause indicating how tables are related (table1.foreign_key = table2.primary key)
• Search conditions can be added to join condition using AND operator
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Inner Join
• Join two tables based on values in one table being equal
to values in another table
• Also known as equality join, equijoin or natural join
• Returns results only if records exist in both tables
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Joining Via Linking Table
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Using a Query Design Diagram
• Helpful for creating complicated queries
• Can use a formula to derive actual query from diagram
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Outer Join
• Returns all rows in one table and matching rows in joined table
• Inner table: all rows are returned
• Outer table: matching rows are returned
• Outer table marked with a + in join condition
• inner_table.join_field = outer_table.join_field(+)
• Null values are inserted for fields in outer table that are not
found
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Self-Join
• A query that joins a table to itself
• Used when a table has a foreign key relationship to itself
(usually parent-child relationship)
• Must create a table alias and structure the query as if you are joining the table to a copy of itself
• FROM table1 alias1,
• Use alias, not table name for select and where clauses
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Self-Join Example
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Creating Nested Queries
• Used to select results based on the result of a query
• Consists of a main query and one or more subqueries
– Main query: first query that appears in the SELECT command
– Subquery retrieves values that the main query’s search condition
must match
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Creating Nested Queries
• Nested queries can return single or multiple values
– To match single values use = operator
– To match multiple values use IN operator
• Subqueries can be nested to more than one level (nested
subqueries)
• Nested subqueries are slower than joins and should be used sparingly
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Nested Subquery Example
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Using Set Operators
To Combine Query Results
• Use to select data from multiple tables not connected with
foreign key relationships
Trang 43• UNION suppresses duplicate values
• UNION ALL includes duplicate values
• INTERSECT takes only matching fields
• MINUS takes only fields in query1 not query2
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Creating and Using Database Views
• Similar to storing the result of a query in the database
• Based on a source query that:
– can specify a subset of a single table’s fields or records
– can join multiple tables
• Can be used to enforce security (user has access to view but not underlying table)
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Creating and Using Database Views
• Views can be updateable if:
– SELECT clause contains only fieldnames, no functions or
calculations
– cannot contain the ORDER BY, DISTINCT, or GROUP BY clauses, group functions, or set operators
– search condition cannot contain a nested query
• Views are used like tables for selecting, inserting, updating and deleting data (only updatable views can be modified)
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Creating and Deleting Views
• CREATE OR REPLACE VIEW view_name AS source_query;
• DROP VIEW viewname;
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Summary
• Use INSERT commands to add data
• NUMBER, DATE and INTERVAL data types can be converted
to and from character strings using format models
• Database changes are made within a transaction that can be committed or rolled back
• Use search conditions to specify records to update, delete or select
• Arithmetic, logical, grouping, and built-in Oracle functions can
be used to specify search conditions and manipulate data
• Query output can be formatted by modifying SELECT clause
Trang 48• Queries can be “saved” by creating a view
• Views can be used like tables to select, insert, update and
delete data