hive从mysql导入数据量变多的解决方案

bin/sqoop import -connect jdbc:mysql://192.168.169.128:3306/yubei -username root -password 123456 -table yl_city_mgr_evt_info --split-by rec_id -m 4 --fields-terminated-by "\t" --lines-terminated-by "\n" --hive-import --hive-overwrite -create-hive-table -delete-target-dir -hive-database default -hive-table yl_city_mgr_evt_info

bin/sqoop import -connect jdbc:mysql://192.168.169.128:3306/yubei -username root -password 123456 -table yl_city_mgr_evt_info --split-by rec_id -m 4 --hive-drop-import-delims --fields-terminated-by "\t" --lines-terminated-by "\n" --hive-import --hive-overwrite -create-hive-table -delete-target-dir -hive-database default -hive-table yl_city_mgr_evt_info

# sqoop 增量导入脚本
bin/sqoop job --create sqoop_hdfs_test02 -- import --connect jdbc:mysql://localhost:3306/pactera_test --username root --password 123456 --table student --target-dir /user/sqoop/test002/ --fields-terminated-by "\t" --check-column last_modified --incremental lastmodified --last-value "2018-12-12 00:03:00" --append

create external table if not exists student_hive (SId int,Sname string ,Sage string,Ssex string , last_modified Timestamp) 
row format delimited fields terminated by '\t' location 'hdfs://node01:8020/user/sqoop/test002/';