# Sqoop从Mysql导入数据到Hive

Sqoop从Mysql导入数据到Hive

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1. 连接bigdatacar数据库展示数据库中所有的表

 ./sqoop list-tables --connect jdbc:mysql://192.168.1.38:3306/bigdatacar --username root --password 1234

2. 将关系型数据的表结构导入到hive中

./sqoop import "-Dorg.apache.sqoop.splitter.allow_text_splitter=true" --connect jdbc:mysql://192.168.1.38:3306/bigdatacar --username root --password 1234 --table t_user --hive-import  --hive-table hive_sqoop_user

3. 需要修改环境变量

vi /etc/profile
#Hadoop环境
export HADOOP_HOME=/version/hadoop/hadoop-3.1.3
export HIVE_HOME=/version/hive/apache-hive-3.1.2-bin
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$HBASE_HOME/bin:$HIVE_HOME/bin
export HIVE_CONF_DIR=$HIVE_HOME/conf
export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$HIVE_HOME/lib/*

4. 导入成功结果如下
   
5. Hive查看导入进来的数据

Time taken: 0.176 seconds, Fetched: 2 row(s)
hive> select * from hive_sqoop_user;
OK
0	admin	21232f297a57a5a743894a0e4a801fc3	1	admin
1	test	21232f297a57a5a743894a0e4a801fc3	2	test
10	admin1	21232f297a57a5a743894a0e4a801fc3	1	admin1
11	test1	21232f297a57a5a743894a0e4a801fc3	2	test
12	test1	1213	2	test
2	admin1	21232f297a57a5a743894a0e4a801fc3	1	admin1
3	test1	21232f297a57a5a743894a0e4a801fc3	2	test
4	admin1	21232f297a57a5a743894a0e4a801fc3	1	admin1
5	test1	21232f297a57a5a743894a0e4a801fc3	2	test
6	admin1	21232f297a57a5a743894a0e4a801fc3	1	admin1
7	test1	21232f297a57a5a743894a0e4a801fc3	2	test
8	admin1	21232f297a57a5a743894a0e4a801fc3	1	admin1
9	test1	21232f297a57a5a743894a0e4a801fc3	2	test
Time taken: 1.064 seconds, Fetched: 13 row(s
e taken: 1.064 seconds, Fetched: 13 row(s