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1  普通的查询语句,例如:
     SELECT last_name, department_id FROM employees;
2   查询视图
     SELECT employee_id, last_name, job_title, department_name, country_name,
       region_name FROM emp_details_view;
3   更换列名查询
     SELECT employee_id "Employee ID number", last_name "Employee last name",
             first_name "Employee first name" FROM employees;
4   联接查询
     自然联接:要求两个表中的公共列必须有相同的名称和结构类型,否则报错。
     SELECT employee_id, last_name, first_name, department_id,
             department_name, manager_id  FROM employees  NATURAL JOIN departments;
     查询三张或以上表时用USING,前提是用来连接两张表的列必须名称相同。
     SELECT e.employee_id, e.last_name, e.first_name, e.manager_id, department_id,
             d.department_name, d.manager_id FROM employees e
             JOIN departments d USING (department_id);
     联接时加上WHERE 子句。
  SELECT e.employee_id, e.last_name, e.first_name, e.department_id,
             d.department_name, d.manager_id, d.location_id, l.country_id FROM employees e
             JOIN departments d ON e.department_id = d.department_id
             JOIN locations l ON d.location_id = l.location_id
             WHERE l.location_id = 1700;
     自我联接:
     SELECT e.employee_id emp_id, e.last_name emp_lastname, m.employee_id mgr_id,
             m.last_name mgr_lastname
             FROM employees e
             JOIN employees m ON e.manager_id = m.employee_id;
      LEFT OUTER JOIN:左表中所有的记录即使在右表中没有联接的都会被查询出来。
     SELECT e.employee_id, e.last_name, e.department_id, d.department_name
             FROM employees e LEFT OUTER JOIN departments d
             ON (e.department_id = d.department_id);
     RIGHT OUTER JOIN:右表中所有的记录即使在左表中没有联接的都会被查询出来。
     SELECT e.employee_id, e.last_name, e.department_id, d.department_name
            FROM employees e RIGHT OUTER JOIN departments d
            ON (e.department_id = d.department_id);
     FULL OUTER JOIN:左右表中的记录全部被查询出来。
     SELECT e.employee_id, e.last_name, e.department_id, d.department_name
            FROM employees e FULL OUTER JOIN departments d
            ON (e.department_id = d.department_id);

5    绑定变量查询:Oracle将已解析、已编译的SQL连同其他内容存储在共享池中,这是SGA中一个非常重要的存储结构(内存结构主要分为SGA和PGA)。而绑定变量查询在Oracle里执行时只编译一次,随后就会把这个查询计划存储在一个共享池中以便重用,即所谓的软解析。具体的使用方法如下:
        SELECT * FROM employees WHERE employee_id = :employee_id
6      查询虚拟列:所谓的虚拟列在Oracle里类似表格的列,但并非存储在表中。查询虚拟列时将返回一个值,因此它又类似与函数。Oracle里的虚拟列有:ROWNUM, SYSDATE, and USER。eg:
        SELECT SYSDATE "NOW" FROM DUAL;
        SELECT USER FROM DUAL;
        SELECT employee_id, hire_date, SYSDATE FROM employees WHERE ROWNUM < 10;
7    带函数查询:
      Using Numeric Functions:
        SELECT employee_id, ROUND(salary/30, 2) "Salary per day" FROM employees;
        SELECT employee_id, TRUNC(salary/30, 0) "Salary per day" FROM employees;
        SELECT employee_id, MOD(employee_id, 2) FROM employees;
      Using Character Functions:
        SELECT employee_id, UPPER(last_name), LOWER(first_name) FROM employees;
        SELECT employee_id, INITCAP(first_name), INITCAP(last_name) FROM employees;
        SELECT employee_id, RTRIM(first_name) || ' ' || LTRIM(last_name) FROM employees;
        SELECT employee_id, TRIM(last_name) || ', ' || TRIM(first_name) FROM employees;
        SELECT employee_id, RPAD(last_name, 30, ' '), first_name FROM employees;
        SELECT employee_id, SUBSTR(last_name, 1, 10) FROM employees;
        SELECT LENGTH(last_name) FROM employees;
        SELECT employee_id, REPLACE(job_id, 'SH', 'SHIPPING') FROM employees
                    WHERE SUBSTR(job_id, 1, 2) = 'SH';
        Using Date Functions:
        SELECT employee_id, TRUNC(MONTHS_BETWEEN(SYSDATE, HIRE_DATE)) "Months Employed"
                     FROM employees;
        SELECT employee_id, EXTRACT(YEAR FROM hire_date) "Year Hired" FROM employees;
        SELECT EXTRACT(YEAR FROM SYSDATE) || EXTRACT(MONTH FROM SYSDATE) ||
                   EXTRACT(DAY FROM SYSDATE) "Current Date" FROM DUAL;
        SELECT employee_id, hire_date, ADD_MONTHS(hire_date, 3) FROM employees;
        SELECT employee_id, hire_date, LAST_DAY(hire_date) "Last day of month"
                   FROM employees;
        SELECT SYSTIMESTAMP FROM DUAL;
      Using Conversion Functions:
        SELECT TO_CHAR(SYSDATE, 'DD-MON-YYYY AD') "Today" FROM DUAL;
        SELECT TO_CHAR(SYSDATE, 'FMMonth DD YYYY') "Today" FROM DUAL;
        SELECT TO_CHAR(SYSDATE, 'MM-DD-YYYY HH24:MI:SS') "Now" FROM DUAL;
        SELECT hire_date, TO_CHAR(hire_date,'DS') "Short Date" FROM employees;
        SELECT hire_date, TO_CHAR(hire_date,'DL') "Long Date" FROM employees;
        SELECT TO_CHAR(EXTRACT(YEAR FROM SYSDATE)) ||
                      TO_CHAR(EXTRACT(MONTH FROM SYSDATE),'FM09') ||
                      TO_CHAR(EXTRACT(DAY FROM SYSDATE),'FM09') "Current Date" FROM DUAL;
        SELECT TO_CHAR(CURRENT_DATE, 'DD-MON-YYYY HH24:MI:SS') "Current Date" FROM DUAL;
        SELECT TO_CHAR(salary,'$99,999.99') salary FROM employees;
        SELECT TO_NUMBER('1234.99') + 500 FROM DUAL;
        SELECT TO_NUMBER('11,200.34', '99G999D99') + 1000 FROM DUAL;
        SELECT TO_DATE('27-OCT-98', 'DD-MON-RR') FROM DUAL;
        SELECT TO_DATE('28-Nov-05 14:10:10', 'DD-Mon-YY HH24:MI:SS') FROM DUAL;
        SELECT TO_DATE('January 15, 2006, 12:00 A.M.', 'Month dd, YYYY, HH:MI A.M.')
                     FROM DUAL;
        SELECT TO_TIMESTAMP('10-Sep-05 14:10:10.123000', 'DD-Mon-RR HH24:MI:SS.FF')
                     FROM DUAL;
        Using Aggregate Functions:
        SELECT COUNT(*) "Employee Count" FROM employees WHERE manager_id = 122;
        SELECT COUNT(*) "Employee Count", manager_id  FROM employees
                    GROUP BY manager_id  ORDER BY manager_id
        SELECT COUNT(commission_pct) FROM employees;
        SELECT COUNT(DISTINCT department_id) FROM employees;
        SELECT MIN(salary), MAX(salary), AVG(salary), job_id FROM employees
                    GROUP BY job_id  ORDER BY job_id;
        SELECT RANK(2600) WITHIN GROUP
                  (ORDER BY salary DESC) "Rank of $2,600 among clerks"
                   FROM employees WHERE job_id LIKE '%CLERK';
        SELECT job_id, employee_id, last_name, salary, DENSE_RANK() OVER
                  (PARTITION BY job_id ORDER BY salary DESC) "Salary Rank (Dense)"
                   FROM employees WHERE job_id = 'SH_CLERK';
        SELECT employee_id, salary, hire_date, STDDEV(salary)
                   OVER (ORDER BY hire_date) "Std Deviation of Salary"
                   FROM employees WHERE job_id = 'ST_CLERK';
        Using NULL Value Functions:
        SELECT commission_pct, NVL(commission_pct, 0) FROM employees;
        SELECT phone_number, NVL(phone_number, 'MISSING') FROM employees;
        SELECT employee_id , last_name,commission_pct, salary,
                    NVL2(commission_pct, salary + (salary * commission_pct), salary) income
                    FROM employees;
         Using Conditional Functions:
         SELECT employee_id, hire_date , salary,
                    CASE WHEN hire_date < TO_DATE('01-JAN-90') THEN salary*1.20
             WHEN hire_date < TO_DATE('01-JAN-92') THEN salary*1.15
             WHEN hire_date < TO_DATE('01-JAN-94') THEN salary*1.10
             ELSE salary*1.05 END  "Revised Salary"
                    FROM employees;
         SELECT employee_id, job_id , salary,
                    DECODE(job_id, 'PU_CLERK', salary*1.05,
                 'SH_CLERK', salary*1.10,
                 'ST_CLERK', salary*1.15,
                             salary) "Revised Salary"
                    FROM employees;

posted on 2011-04-06 16:38  YAO'STAR  阅读(354)  评论(0编辑  收藏  举报