該Shell指令碼可以實現批量將sql檔案匯入多個數據庫，資料庫可以靈活設定

#!/bin/bash
path=/home/xxx/db.txt
user=test
password=test
port=xxx
host=x.x.x.x
ll /home/xxx/exports > db.txt #獲取匯入的資料庫檔名稱
cat $path |while read line
do
dbname=`echo $line|awk '{print $NF}' |awk -F. '{print $1}'` 
echo $dbname  #獲取資料庫
echo $line
/usr/local/mysql/bin/mysql -h$host -u$user -p$password -P$port -D$dbname < /home/xxx/exports/$line  #此方式比Source要高一些
done
 

#Json中提取欄位，並寫入EXCEL，寫入的時候起始行可能有誤...，另path中檔名稱最好不要以X開頭，會有報錯，不知道原因為何。
import json
import xlwt

class get_interests(object):
    def __init__(self,path):
        self.path=path
        
        
    def open_interests_txt(self):
        excel= xlwt.Workbook()  
        sheet=excel.add_sheet('interests') 
        with open(self.path,'r+') as interests:
            xq_txt=json.loads(interests.read())
            print type(xq_txt)
            print xq_txt['data']
            print len(xq_txt['data'])
            i=0
            for item in xq_txt['data']:
                print item['path']
               
                if i<len(xq_txt['data']):
                    i=i+1
                    for j in range(0,len(item['path'])):
                        #print item['path'][j]
                        print i,j,item['path'][j]
                        sheet.write(i,j,item['path'][j])
                    excel.save('a4.xls')     

      
    def get_name(self):
         with open(self.path,'r+') as interests:
            xq_txt=json.loads(interests.read())
            for item in  xq_txt['data']:
                print item['name']

path='F:\\PROJECT\\python\\code\\Study_1\\src\\20170509\\ww.json'            
test=get_interests(path)
#test.open_interests_txt()
test.get_name()