Beziehen Sie sich auf die Datenüberprüfung, nachdem MySQL die Beispieldatenbankmitarbeiter importiert hat.
Prinzip und Idee: Generieren Sie zunächst jede Datenzeile und -spalte in jeder Tabelle in der Datenbank Der MD5-Wert wird akkumuliert und dann in der Testeinheitsdatei als erwarteter Wert fest codiert.
Das Folgende ist die Überprüfungsmethode von MD5
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;
Das Obige ist der Inhalt des Überprüfungsprogramms nach dem Import von MySQL-Daten. Weitere verwandte Inhalte finden Sie auf der chinesischen PHP-Website (www.php.cn )!