Sqoop using '--direct' option fails with mysqldump exit code 2 and 3

I am running Sqoop in AWS EMR. I am trying to copy a table ~10 GB from MySQL into HDFS.

I get the following exception

15/07/06 12:19:07 INFO mapreduce.Job: Task Id : attempt_1435664372091_0048_m_000000_2, Status : FAILED
Error: java.io.IOException: mysqldump terminated with status 3
at org.apache.sqoop.mapreduce.MySQLDumpMapper.map(MySQLDumpMapper.java:485)
at org.apache.sqoop.mapreduce.MySQLDumpMapper.map(MySQLDumpMapper.java:49)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:152)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:773)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:170)

15/07/06 12:19:07 INFO mapreduce.Job: Task Id : attempt_1435664372091_0048_m_000005_2, Status : FAILED
Error: java.io.IOException: mysqldump terminated with status 2
at org.apache.sqoop.mapreduce.MySQLDumpMapper.map(MySQLDumpMapper.java:485)
at org.apache.sqoop.mapreduce.MySQLDumpMapper.map(MySQLDumpMapper.java:49)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:152)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:773)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:170)

15/07/06 12:19:08 INFO mapreduce.Job: map 0% reduce 0%
15/07/06 12:19:20 INFO mapreduce.Job: map 25% reduce 0%
15/07/06 12:19:22 INFO mapreduce.Job: map 38% reduce 0%
15/07/06 12:19:23 INFO mapreduce.Job: map 50% reduce 0%
15/07/06 12:19:24 INFO mapreduce.Job: map 75% reduce 0%
15/07/06 12:19:25 INFO mapreduce.Job: map 100% reduce 0%

15/07/06 12:23:11 INFO mapreduce.Job: Job job_1435664372091_0048 failed with state FAILED due to: Task failed task_1435664372091_0048_m_000000
Job failed as tasks failed. failedMaps:1 failedReduces:0

15/07/06 12:23:11 INFO mapreduce.Job: Counters: 8
Job Counters
Failed map tasks=28
Launched map tasks=28
Other local map tasks=28
Total time spent by all maps in occupied slots (ms)=34760760
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=5793460
Total vcore-seconds taken by all map tasks=5793460
Total megabyte-seconds taken by all map tasks=8342582400
15/07/06 12:23:11 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead
15/07/06 12:23:11 INFO mapreduce.ImportJobBase: Transferred 0 bytes in 829.8697 seconds (0 bytes/sec)
15/07/06 12:23:11 WARN mapreduce.Counters: Group org.apache.hadoop.mapred.Task$Counter is deprecated. Use org.apache.hadoop.mapreduce.TaskCounter instead
15/07/06 12:23:11 INFO mapreduce.ImportJobBase: Retrieved 0 records.
15/07/06 12:23:11 ERROR tool.ImportTool: Error during import: Import job failed!

If I run with out '--direct' option, I get the communication exception as in https://issues.cloudera.org/browse/SQOOP-186

I have set 'net-write-timeout' and 'net-read-timeout' values in MySQL to 6000.

My Sqoop command looks like this
sqoop import -D mapred.task.timeout=0 --fields-terminated-by '\t' --escaped-by '
' --optionally-enclosed-by '\"' --bindir ./ --connect jdbc:mysql://<remote ip>/<mysql db> --username tuser --password tuser --table table1 --target-dir=/base/table1 --split-by id -m 8 --direct