043.hive-导出数据hive-csv

1.
su hdfs
cd ~ 

2.
hive -e " set hive.cli.print.header=true;                
USE saas; SELECT CONCAT_WS(',',                          
cast( nvl(order_id              ,0) as string)             
,cast( nvl(total_amount          ,0.00) as string)       
,cast( nvl(dinner_count          ,0) as string)          
,cast( nvl(latitude              ,0.00) as string)       
,cast( nvl(longitude             ,0.00) as string)       
,cast( nvl(has_invoice           ,0) as string)          
,cast( nvl(invoice_type          ,0) as string)          
,cast( nvl(invoice_title         ,'') as string)         
,cast( nvl(invoice_taxpayer      ,'') as string)         
,cast( nvl(description           ,'') as string)         
,cast( nvl(place_time,cast('1000-01-01 00:00:00' as timestamp)) as string)
,cast( nvl(delivery_time,cast('1000-01-01 00:00:00' as timestamp)) as string)        
,cast( nvl(order_type            ,'') as string)         
,cast( nvl(status                ,'') as string)         
,cast( nvl(create_time,cast('1000-01-01 00:00:00' as timestamp)) as string)        
,cast( nvl(dt                    ,0) as string)            
,cast( nvl(data_source           ,'') as string))           
from  order_di 
where shop_code = '76729050'  ; " | sed 's/[\t]/,/g' >  one_shop.csv

3.压缩 
zip -r  one_shop.zip   one_shop.csv

4.sz   one_shop.zip  

5.csv 注意科学计数法的转换 
 

标签：shop,00,csv,string,hive,cast,01,nvl,043
来源： https://www.cnblogs.com/star521/p/16522084.html