Hive表pms.cross_sale_path建立以日期作为分区，将hdfs目录/user/pms/workspace/ouyangyewei/testUsertrack/job1Output/crossSale上的数据，写入该表的$yesterday分区上
表结构：
hive -e "
set mapred.job.queue.name=pms;
drop table if exists pms.cross_sale_path;
create external table pms.cross_sale_path
(
track_id string,
track_time string,
session_id string,
gu_id string,
end_user_id string,
page_category_id bigint,
algorithm_id int,
is_add_cart int,
rcmd_product_id bigint,
product_id bigint,
category_id bigint,
path_id string,
path_type int,
path_length int,
path_list string,
order_code string
)
PARTITIONED BY (ds string)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LINES TERMINATED BY '\n'
STORED AS TEXTFILE;"
写法：
yesterday=`date -d -1days +%Y-%m-%d`
hive -e "load data inpath '/user/pms/workspace/ouyangyewei/testUsertrack/job1Output/crossSale' into table pms.cross_sale_path partition(ds='$yesterday');"
基于Hadoop集群的Hive安装