一、引言
基于Hive+Hadoop模式构建数据仓库,是大数据时代的一个不错的选择,本文以郑商所每日交易行情数据为案例,探讨数据Hive数据导入的操作实例。
二、源数据-每日行情数据
三、建表脚本
CREATE TABLE IF NOT EXISTS t_day_detail(id STRING,lastday FLOAT,today FLOAT,highest FLOAT,lowest FLOAT,today_end FLOAT,today_jisuan FLOAT,updown1 FLOAT,updown2 FLOAT,sum int,empity int,rise int,turnover FLOAT,delivery FLOAT)PARTITIONED BY (dt STRING,product STRING);
四、数据导入1
1 load data local inpath '/home/hadoop/source/in'2 overwrite into table t_day_detail3 partition(dt='-04-22',product='1');
五、数据导入2
1 load data local inpath '/home/hadoop/source/in'2 overwrite into table t_day_detail3 partition(dt='-04-23',product='1');
六、执行结果
hive> select * from t_day_detail> ;OKCF405,17365.0,17390.0,17390.0,17360.0,17380.0,17380.0,15,15,72.0,1090.0,-36,625.66,0.0 NULL NULL NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL -04-221CF407,17275.0,17370.0,17415.0,17320.0,17320.0,17365.0,45,90,22.0,52.0,2,191.01,0.0NULL NULL NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL -04-221CF409,17450.0,17380.0,17395.0,17310.0,17320.0,17330.0,-130,-120,7860.0,34584.0,-940,68099.08,0.0 NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL NULL NULL -04-221CF411,16370.0,16315.0,16350.0,16220.0,16255.0,16240.0,-115,-130,984.0,17436.0,-380,7990.01,0.0 NULL NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL NULL -04-221CF501,16130.0,16030.0,16085.0,15920.0,15995.0,15970.0,-135,-160,26210.0,115120.0,-1906,209311.56,0.0 NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL NULL NULL -04-221CF503,16195.0,16030.0,16065.0,16000.0,16065.0,16045.0,-130,-150,60.0,526.0,12,481.42,0.0 NULL NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL NULL -04-221CF405,17365.0,17390.0,17390.0,17360.0,17380.0,17380.0,15,15,72.0,1090.0,-36,625.66,0.0 NULL NULL NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL -04-231CF407,17275.0,17370.0,17415.0,17320.0,17320.0,17365.0,45,90,22.0,52.0,2,191.01,0.0NULL NULL NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL -04-231CF409,17450.0,17380.0,17395.0,17310.0,17320.0,17330.0,-130,-120,7860.0,34584.0,-940,68099.08,0.0 NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL NULL NULL -04-231CF411,16370.0,16315.0,16350.0,16220.0,16255.0,16240.0,-115,-130,984.0,17436.0,-380,7990.01,0.0 NULL NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL NULL -04-231CF501,16130.0,16030.0,16085.0,15920.0,15995.0,15970.0,-135,-160,26210.0,115120.0,-1906,209311.56,0.0 NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL NULL NULL -04-231CF503,16195.0,16030.0,16065.0,16000.0,16065.0,16045.0,-130,-150,60.0,526.0,12,481.42,0.0 NULL NULL NULL NULLNULLNULL NULL NULL NULL NULL NULL NULL NULL -04-231Time taken: 0.391 secondshive>
七、问题聚焦
(1)Hive分区设置的原则和技巧?
(2)Hive分区内行记录完全一致问题如何解决?
(3)Hive中文乱码问题如何解决?