In this case, however, let us do what probably makes more sense—modifying the definition of the employee table to make it consistent in both data sources.
Start the
mysqlutility:$ mysql -u hadoopuser -p hadooptest Enter password:
Change the type of the
start_datecolumn:mysql> alter table employees modify column start_date timestamp;You will receive the following response:
Query OK, 0 rows affected (0.02 sec) Records: 0 Duplicates: 0 Warnings: 0
Display the table definition:
mysql> describe employees;
Quit the
mysqltool:mysql> quit;sqoop export --connect jdbc:mysql://10.0.0.100/hadooptest --username hadoopuser –P –table employees --export-dir /user/hive/warehouse/employees --input-fields-terminated-by '\001' --input-lines-terminated-by '\n'
You will receive the following response:
12/05/27 09:17:39 INFO mapreduce.ExportJobBase: Exported 10 records.Check the number of records in...