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Oracle offers several conversion functions that let you convert data from one format to another. The most common of these functions are the TO_CHAR, TO_NUMBER, TO_DATE, and TO_TIMESTAMP functions. The TO_CHAR function converts a floating number to a string, and the TO_NUMBER function converts a floating number or a string to a number. The TO_DATE function converts character data to a DATE data type. Here are some examples: SQL> SELECT TO_CHAR(TO_DATE('20-JUL-08', 'DD-MON-RR') ,'YYYY') "Year" FROM DUAL; Year ------------------------------------------------------------------------------2008 SQL> SQL> SELECT TO_CHAR(SYSDATE, 'DD-MON-YYYY') FROM DUAL; TO_CHAR(SYSDATE -------------20-JUL-2008 SQL>
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In 7 you saw how Oracle SQL statements include DDL, DML, and other types of statements. Let s begin with a review of the basic SQL statements.
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The SELECT Statement
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The SELECT statement is the most common SQL statement (it is also called a projection). A SELECT statement retrieves all or some of the data in a table, based on the criteria that you specify. The most basic SELECT statement is one that retrieves all the data in the table: SQL> SELECT * FROM employees; To retrieve only certain columns from a table, you specify the column names after the SELECT keyword, as shown in the following example: SQL> SELECT first_name, last_name, hiredate FROM employees; If you want only the first ten rows of a table, you can use the following statement: SQL> SELECT * FROM employees WHERE rownum <11;
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APPENDIX ORAC LE DATABA SE 11G S QL A ND PL/SQL: A BRIEF PRIMER
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If you want just a count of all the rows in the table, you can use the following statement: SQL> SELECT COUNT(*) FROM employees; If a table has duplicate data, you can use the DISTINCT clause to eliminate the duplicate values, as shown here: SQL> SELECT DISTINCT username FROM V$SESSION; The optional WHERE clause in a SELECT statement uses conditions to help you specify that only certain rows be returned. Table A-1 lists some of the common conditions you can use in a WHERE clause.
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Table A-1. Common Conditions Used in WHERE Clauses
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= > < <+ >= <> or !
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Condition
Equal Greater than Less than Less than or equal to Greater than or equal to Not equal to
Here are some examples of using the WHERE clause: SQL> SQL> SQL> SQL> SQL> SQL> SELECT SELECT SELECT SELECT SELECT SELECT employee_id employee_id employee_id employee_id employee_id employee_id WHERE WHERE WHERE WHERE WHERE WHERE salary salary salary salary salary salary = 50000; < 50000; > 50000; <= 50000; >= 50000; ! 50000;
The LIKE Condition
The LIKE condition uses pattern matching to restrict rows in a SELECT statement. Here s an example: SQL> SELECT employee_id, last_name FROM employees 2* WHERE last_name LIKE 'Fa%'; EMPLOYEE_ID LAST_NAME -------------------109 Faviet 202 Fay SQL> The pattern that you want the WHERE clause to match should be enclosed in single quotes (' '). In the preceding example, the percent sign (%) indicates that the letters Fa can be followed by any character string. Thus, the percent sign acts as a wildcard for one or more characters, performing the same job as the asterisk (*) in many operating systems. Note that a single underscore character (_) acts as a wildcard for one and only one character.
A PPEN DI X O RA CLE D AT A BASE 11G S Q L AND PL/S QL: A BRI EF PRIME R
The INSERT Statement
The INSERT statement enables you to add new data to a table, including duplicate data if there are no unique requirements enforced by a primary key or an index. The general form of the INSERT statement is as follows: INSERT INTO <table> [(<column i, . . . , column j>)] VALUES (<value i, . . . ,value j>); Here is an example of the insert command: SQL> INSERT INTO employees( 2 employee_id,last_name,email,hire_date,job_id) 3 VALUES 4* (56789,'alapati','salapati@netbsa.org', sysdate,98765); 1 row created. SQL> In the preceding list, the column names were specified because only some columns were being populated in the row being inserted. The rest of them are left blank, which is okay, provided the column isn t defined as a not null column. If you re inserting values for all the columns of a table, you can use the simpler INSERT statement shown here: SQL> INSERT INTO department VALUES (34567, 'payroll', 'headquarters', 'dallas'); 1 row created. SQL> If you want to insert all the columns of a table into another table, you can use the following INSERT statement: SQL> INSERT INTO b SELECT * FROM a WHERE city='DALLAS'; If table b doesn t exist, you can use the CREATE TABLE table_name AS SELECT * FROM (CTAS) statement, as shown here: SQL> CREATE table b as SELECT * FROM a;
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