Sqoop export successful but no data shown in table

Hi , I am trying to export data as below but i dont see any data in the table…can you please me figure out what mistake i am doing here ?

sqoop export --connect jdbc:mysql://localhost/homework --username root --password hadoop --table weather_p --export-dir /sqoop/part-00011 --driver com.mysql.jdbc.Driver --m 1 --input-fields-terminated-by ‘,’ --input-lines-terminated-by ‘\n’

mysql> create table weather_p(
-> stateId VARCHAR(25) NOT NULL PRIMARY KEY,
-> day DATE,
-> tmin INT,
-> tmax INT,
-> snow INT,
-> snwd INT,
-> prcp INT
-> );

17/06/17 08:06:25 INFO mapreduce.Job: map 0% reduce 0%
17/06/17 08:06:34 INFO mapreduce.Job: map 100% reduce 0%
17/06/17 08:06:35 INFO mapreduce.Job: Job job_1497555396149_0025 failed with state FAILED due to: Task failed task_1497555396149_0025_m_000000
Job failed as tasks failed. failedMaps:1 failedReduces:0

17/06/17 08:06:36 INFO mapreduce.Job: Counters: 8
Job Counters
Failed map tasks=1
Launched map tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=6746
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=6746
Total vcore-milliseconds taken by all map tasks=6746
Total megabyte-milliseconds taken by all map tasks=1686500
17/06/17 08:06:36 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead
17/06/17 08:06:36 INFO mapreduce.ExportJobBase: Transferred 0 bytes in 28.3648 seconds (0 bytes/sec)
17/06/17 08:06:36 WARN mapreduce.Counters: Group org.apache.hadoop.mapred.Task$Counter is deprecated. Use org.apache.hadoop.mapreduce.TaskCounter instead
17/06/17 08:06:36 INFO mapreduce.ExportJobBase: Exported 0 records.
17/06/17 08:06:36 ERROR mapreduce.ExportJobBase: Export job failed!
17/06/17 08:06:36 ERROR tool.ExportTool: Error during export: Export job failed!

At least when you do not see data, you should go through logs carefully. As highlighted above your export job have failed. Now you have to go to respective tasks and check the logs to get the error details.