#coding=utf-8 import pyhs2 from xlwt import *  hiveconn = pyhs2.connect(host='10.46.77.120',          port=10000,          authMechanism='PLAIN',          user='hadoop',          database='hibiscus_data',          )  def create_excel():   sql = 'show tables'   tables = []   with hiveconn.cursor() as cursor:     cursor.execute(sql)     res = cursor.fetch()     for table in res:       tables.append(table[0])      tableinfo = []   for table in tables:     tableinfo.append(get_column_info(table))    create_excel_ex(tableinfo)  def create_excel_ex(tableinfo):   w = Workbook()   sheet = w.add_sheet(u'表結(jié)構(gòu)')   row = 0   for info in tableinfo:     row = write_tale_info(info,sheet,row)   w.save('hive_schema.xls')  def write_tale_info(tableinfo,sheet,row):   print row   sheet.write_merge(row,row,0,2,tableinfo['table'])      row += 1   sheet.write(row,0,u'名稱')   sheet.write(row,1,u'類型')   sheet.write(row,2,u'解釋')   row += 1    fields = tableinfo['fields']   for field in fields:     sheet.write(row,0,field['name'])     sheet.write(row,1,field['type'])     row += 1    return row + 1        def get_column_info(table):   sql = 'desc {table}'.format(table=table)   info = {'table':table,'fields':[]}   with hiveconn.cursor() as cursor:     cursor.execute(sql)     res = cursor.fetch()     for item in res:       if item[0] == '':         break       info['fields'].append({'name':item[0],'type':item[1]})    return info  if __name__ == '__main__':   create_excel()