데이터 가져오기 후 MySQL 검증 프로그램

mysql이 샘플 데이터베이스 직원을 가져온 후 데이터 확인을 참조하세요. md5 또는 sha를 사용할 수 있습니다.

원리 및 아이디어: 먼저 데이터베이스의 각 테이블에 데이터의 각 행과 열을 생성합니다. md5 값을 누적 계산한 후 테스트 유닛 파일에 예상 값으로 하드코딩합니다.

다음은 md5의 검증 방법입니다

USE employees;

SELECT 'TESTING INSTALLATION' as 'INFO';
SET storage_engine=MyISAM;

DROP TABLE IF EXISTS expected_values, found_values;
CREATE TABLE expected_values (
    table_name varchar(30) not null primary key,
    recs int not null,
    crc_sha varchar(100) not null,
    crc_md5 varchar(100) not null
) ENGINE=MyISAM;
CREATE TABLE found_values LIKE expected_values;

INSERT INTO `expected_values` VALUES 
('employees',   300024,'4d4aa689914d8fd41db7e45c2168e7dcb9697359',
                        '4ec56ab5ba37218d187cf6ab09ce1aa1'),
('departments',      9,'4b315afa0e35ca6649df897b958345bcb3d2b764',
                       'd1af5e170d2d1591d776d5638d71fc5f'),
('dept_manager',    24,'9687a7d6f93ca8847388a42a6d8d93982a841c6c',
                       '8720e2f0853ac9096b689c14664f847e'),
('dept_emp',    331603, 'd95ab9fe07df0865f592574b3b33b9c741d9fd1b',
                       # 'f16f6ce609d032d6b1b34748421e9195c5083da8', Bug#320513
                       'ccf6fe516f990bdaa49713fc478701b7'),
                       # 'c2c4fc7f0506e50959a6c67ad55cac31'),
('titles',      443308,'d12d5f746b88f07e69b9e36675b6067abb01b60e',
                       'bfa016c472df68e70a03facafa1bc0a8'),
('salaries',   2844047,'b5a1785c27d75e33a4173aaa22ccf41ebd7d4a9f',
                       'fd220654e95aea1b169624ffe3fca934');
SELECT table_name, recs AS expected_records, crc_md5 AS expected_crc FROM expected_values;

DROP TABLE IF EXISTS tchecksum;
CREATE TABLE tchecksum (chk char(100)) ENGINE=myisam;

SET @crc= '';

INSERT INTO tchecksum 
    SELECT @crc := MD5(CONCAT_WS('#',@crc,
                emp_no,birth_date,first_name,last_name,gender,hire_date)) 
    FROM employees ORDER BY emp_no;
INSERT INTO found_values VALUES ('employees', (SELECT COUNT(*) FROM employees), @crc,@crc);
TRUNCATE tchecksum; -- if BlackHole is not available

SET @crc = '';
INSERT INTO tchecksum 
    SELECT @crc := MD5(CONCAT_WS('#',@crc, dept_no,dept_name)) 
    FROM departments ORDER BY dept_no;
INSERT INTO found_values values ('departments', (SELECT COUNT(*) FROM departments), @crc,@crc);
TRUNCATE tchecksum; 

SET @crc = '';
INSERT INTO tchecksum 
    SELECT @crc := MD5(CONCAT_WS('#',@crc, dept_no,emp_no, from_date,to_date)) 
    FROM dept_manager ORDER BY dept_no,emp_no;
INSERT INTO found_values values ('dept_manager', (SELECT COUNT(*) FROM dept_manager), @crc,@crc);
TRUNCATE tchecksum; 

SET @crc = '';
INSERT INTO tchecksum 
    SELECT @crc := MD5(CONCAT_WS('#',@crc, dept_no,emp_no, from_date,to_date)) 
    FROM dept_emp ORDER BY dept_no,emp_no;
INSERT INTO found_values values ('dept_emp', (SELECT COUNT(*) FROM dept_emp), @crc,@crc);
TRUNCATE tchecksum; 

SET @crc = '';
INSERT INTO tchecksum 
    SELECT @crc := MD5(CONCAT_WS('#',@crc, emp_no, title, from_date,to_date)) 
    FROM titles order by emp_no,title,from_date;
INSERT INTO found_values values ('titles', (SELECT COUNT(*) FROM titles), @crc,@crc);
TRUNCATE tchecksum; 

SET @crc = '';
INSERT INTO tchecksum 
    SELECT @crc := MD5(CONCAT_WS('#',@crc, emp_no, salary, from_date,to_date)) 
    FROM salaries order by emp_no,from_date,to_date;
INSERT INTO found_values values ('salaries', (SELECT COUNT(*) FROM salaries), @crc,@crc);

DROP TABLE tchecksum;

SELECT table_name, recs as 'found_records   ', crc_md5 as found_crc from found_values;

SELECT  
    e.table_name, 
    IF(e.recs=f.recs,'OK', 'not ok') AS records_match, 
    IF(e.crc_md5=f.crc_md5,'ok','not ok') AS crc_match 
from 
    expected_values e INNER JOIN found_values f USING (table_name); 

DROP TABLE expected_values,found_values;

위는 mysql이 데이터를 가져온 후 검증 프로그램의 내용이며, 더 많은 관련 내용은 PHP 중국어 홈페이지(www.kr)를 참고하시기 바랍니다. .php.cn)!