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Python MySQL进行数据库表变更和查询


时间:2020-11-03 13:30 作者:admin610456


python/' target='_blank'>python连接mysql/' target='_blank'>mysql,进行数据库表变更和查询:

Python MySQL insert delete query:

#!/usr/bin/python  import MySQLdb def doInsert(cursor,db):   #insert   # Prepare SQL query to INSERT a record into the database.   sql = "UPDATE EMPLOYEE SET AGE = AGE+1 WHERE SEX = '%c'" %('M')   try:     cursor.execute(sql)     db.commit()   except:     db.rollback()  def do_query(cursor,db):   sql = "SELECT * FROM EMPLOYEE \      WHERE INCOME > '%d'" % (1000)   try:     # Execute the SQL command     cursor.execute(sql)     # Fetch all the rows in a list of lists.     results = cursor.fetchall()     print 'resuts',cursor.rowcount     for row in results:       fname = row[0]       lname = row[1]       age = row[2]       sex = row[3]       income = row[4]       # Now print fetched result       print "fname=%s,lname=%s,age=%d,sex=%s,income=%d" % \           (fname, lname, age, sex, income )   except:     print "Error: unable to fecth data"  def do_delete(cursor,db):   sql = 'DELETE FROM EMPLOYEE WHERE AGE > {}'.format(20)   try:     cursor.execute(sql)     db.commit()   except:     db.rollback()  def do_insert(cursor,db,firstname,lastname,age,sex,income):   sql = "INSERT INTO EMPLOYEE(FIRST_NAME, \     LAST_NAME, AGE, SEX, INCOME) \     VALUES ('%s', '%s', '%d', '%c', '%d' )" % \     (firstname,lastname,age,sex,income)   try:     cursor.execute(sql)     db.commit()   except:     db.rollback()   # Open database connection # change this to your mysql account #connect(server,username,password,db_name) db = MySQLdb.connect("localhost","root","root","pydb" ) # prepare a cursor object using cursor() method cursor = db.cursor() do_query(cursor,db) doInsert(cursor,db) do_query(cursor,db) do_delete(cursor,db) do_query(cursor,db) do_insert(cursor,db,'hunter','xue',22,'M',2000) do_insert(cursor,db,'mary','yang',22,'f',5555) do_insert(cursor,db,'zhang','xue',32,'M',5000) do_insert(cursor,db,'hunter','xue',22,'M',333) do_query(cursor,db) # disconnect from server db.close()  

之后可以在此基础上根据需要进行封装。

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