Oracle Database: Introduction to SQL (DB-INTRO-SQL)培训
培训大纲：
1. Introduction to Oracle Database
Features of Oracle Database 11g
Basic design, theoretical, and physical aspects of a relational database
Categorize the different types of SQL statements
Data set used by the course
Log on to the database using SQL Developer environment
Save queries to files and use script files in SQL Developer
2. Retrieve Data using the SQL SELECT Statement
Capabilities of SQL SELECT statements
Generate a report of data from the output of a basic SELECT statement
Select all columns
Select specific columns
Use column heading defaults
Use arithmetic operators
Operator precedence
DESCRIBE command to display the table structure
3. Learn to Restrict and Sort Data
Write queries that contain a WHERE clause to limit the output retrieved
Comparison operators and logical operators that are used in a WHERE clause
Rules of precedence for comparison and logical operators
Use character string literals in the WHERE clause
Write queries that contain an ORDER BY clause to sort the output of a SELECT statement
Sort output in descending and ascending order
4. Usage of Single-Row Functions to Customize Output
Differences between single row and multiple row functions
Manipulate strings with character function in the SELECT and WHERE clauses
Manipulate numbers with the ROUND, TRUNC, and MOD functions
Perform arithmetic with date data
Manipulate dates with the DATE functions
5. Invoke Conversion Functions and Conditional Expressions
Implicit and explicit data type conversion
Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
Nest multiple functions
Apply the NVL, NULLIF, and COALESCE functions to data
Use conditional IF THEN ELSE logic in a SELECT statement
6. Aggregate Data Using the Group Functions
Use the aggregation functions to produce meaningful reports
Divide the retrieved data in groups by using the GROUP BY clause
Exclude groups of data by using the HAVING clause
7. Display Data from Multiple Tables Using Joins
Write SELECT statements to access data from more than one table
View data that generally does not meet a join condition by using outer joins
Join a table to itself by using a self join
8. Use Subqueries to Solve Queries
Types of problems that subqueries can solve
Subqueries
Types of subqueries
Write single-row and multiple-row subqueries
9. The SET Operators
SET operators
Use a SET operator to combine multiple queries into a single query
Control the order of rows returned
10. Data Manipulation Statements
DML statements
Insert rows into a table
Change rows in a table by the UPDATE statement
Delete rows from a table with the DELETE statement
Save and discard changes with the COMMIT and ROLLBACK statements
Read consistency
11. Use of DDL Statements to Create and Manage Tables
Categorize the main database objects
Table structure
Data types available for columns
Create a simple table
How constraints can be created at table creation
How schema objects work
12. Other Schema Objects
Create a simple and complex view
Retrieve data from views
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms
13. Control User Access
System privileges vs. object privileges
Create users
Grant system privileges
Create and grant privileges to a role
Change your password
Grant object privileges
How to pass on privileges?
Revoke object privileges
14. Management of Schema Objects
Add, modify, and drop a column
Add, drop, and defer a constraint
How to enable and disable a constraint?
Create and remove indexes
Create a Function-Based index
Perform Flashback operations
Create an External Table by using ORACLE_LOADER and by using ORACLE_DATAPUMP
Query external tables
15. Manage Objects with Data Dictionary Views
Data dictionary
Use the dictionary views
USER_OBJECTS and ALL_OBJECTS Views
Table and Column Information
Query the dictionary views for constraint information
Query the dictionary views for view, sequence, index, and synonym information
Add a comment to a table
Query the dictionary views for comment information
16. Manipulate Large Data Sets
Use subqueries to manipulate data
Retrieve data using a subquery as source
Insert using a subquery as a target
Usage of the WITH CHECK OPTION keyword on DML statements
Types of multitable INSERT statements
Use multitable INSERT statements
Merge rows in a table
Track changes in data over a period of time
17. Data Management in Different Time Zones
Time zones
CURRENT_DATE, CURRENT_TIMESTAMP, and LOCALTIMESTAMP
Compare date and time in a session''s time zone
DBTIMEZONE and SESSIONTIMEZONE
Difference between DATE and TIMESTAMP
INTERVAL data types
Use EXTRACT, TZ_OFFSET, and FROM_TZ
Invoke TO_TIMESTAMP,TO_YMINTERVAL and TO_DSINTERVAL
18. Retrieve Data Using Subqueries
Multiple-column subqueries
Pairwise and nonpairwise comparison
Scalar subquery expressions
Solve problems with Correlated subqueries
Update and delete rows using correlated subqueries
The EXISTS and NOT EXISTS operators
Invoke the WITH clause
The recursive WITH clause
19. Regular Expression Support
Use the regular expressions functions and conditions in SQL
Use meta characters with regular expressions
Perform a basic search using the REGEXP_LIKE function
Find patterns using the REGEXP_INSTR function
Extract Substrings using the REGEXP_SUBSTR function
Replace patterns using the REGEXP_REPLACE function
Usage of sub-expressions with regular expression support
Implement the REGEXP_COUNT function
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