Exercie 1 ERROR tool.ImportAllTablesTool: Error during import: Import job failed!

[#1]

Hi all, I am a complete noob in these tochnologies. Try to import tables from mysql in exerc. 1 but get an error.

The command:

sqoop import-all-tables \
>     -m 1 \
>     --connect jdbc:mysql://quickstart:3306/retail_db \
>     --username=retail_dba \
>     --password=cloudera \
>     --compression-codec=snappy \
>     --as-parquetfile \
>     --warehouse-dir=/user/hive/warehouse \
>     --hive-import

The output:

Warning: /usr/lib/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
16/04/16 05:09:52 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6-cdh5.5.0
16/04/16 05:09:52 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
16/04/16 05:09:52 INFO tool.BaseSqoopTool: Using Hive-specific delimiters for output. You can override
16/04/16 05:09:52 INFO tool.BaseSqoopTool: delimiters with --fields-terminated-by, etc.
16/04/16 05:09:52 WARN tool.BaseSqoopTool: It seems that you're doing hive import directly into default
16/04/16 05:09:52 WARN tool.BaseSqoopTool: hive warehouse directory which is not supported. Sqoop is
16/04/16 05:09:52 WARN tool.BaseSqoopTool: firstly importing data into separate directory and then
16/04/16 05:09:52 WARN tool.BaseSqoopTool: inserting data into hive. Please consider removing
16/04/16 05:09:52 WARN tool.BaseSqoopTool: --target-dir or --warehouse-dir into /user/hive/warehouse in
16/04/16 05:09:52 WARN tool.BaseSqoopTool: case that you will detect any issues.
16/04/16 05:09:53 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
16/04/16 05:09:54 INFO tool.CodeGenTool: Beginning code generation
16/04/16 05:09:54 INFO tool.CodeGenTool: Will generate java class as codegen_categories
16/04/16 05:09:54 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `categories` AS t LIMIT 1
16/04/16 05:09:54 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `categories` AS t LIMIT 1
16/04/16 05:09:54 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /usr/lib/hadoop-mapreduce
^C[cloudera@quickstart ~]$ ls /var/lib/sqoop
mysql-connector-java.jar
[cloudera@quickstart ~]$ sqoop import-all-tables     -m 1     --connect jdbc:mysql://quickstart:3306/retail_db     --username=retail_dba     --password=cloudera     --compression-codec=snappy     --as-parquetfile     --warehouse-dir=/user/hive/warehouse     --hive-import
Warning: /usr/lib/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
16/04/16 05:11:43 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6-cdh5.5.0
16/04/16 05:11:43 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
16/04/16 05:11:43 INFO tool.BaseSqoopTool: Using Hive-specific delimiters for output. You can override
16/04/16 05:11:43 INFO tool.BaseSqoopTool: delimiters with --fields-terminated-by, etc.
16/04/16 05:11:43 WARN tool.BaseSqoopTool: It seems that you're doing hive import directly into default
16/04/16 05:11:43 WARN tool.BaseSqoopTool: hive warehouse directory which is not supported. Sqoop is
16/04/16 05:11:43 WARN tool.BaseSqoopTool: firstly importing data into separate directory and then
16/04/16 05:11:43 WARN tool.BaseSqoopTool: inserting data into hive. Please consider removing
16/04/16 05:11:43 WARN tool.BaseSqoopTool: --target-dir or --warehouse-dir into /user/hive/warehouse in
16/04/16 05:11:43 WARN tool.BaseSqoopTool: case that you will detect any issues.
16/04/16 05:11:44 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
16/04/16 05:11:45 INFO tool.CodeGenTool: Beginning code generation
16/04/16 05:11:45 INFO tool.CodeGenTool: Will generate java class as codegen_categories
16/04/16 05:11:45 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `categories` AS t LIMIT 1
16/04/16 05:11:45 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `categories` AS t LIMIT 1
16/04/16 05:11:45 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /usr/lib/hadoop-mapreduce
Note: /tmp/sqoop-cloudera/compile/5c05ec7d71902ec0786ad83933e2419b/codegen_categories.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
16/04/16 05:11:52 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-cloudera/compile/5c05ec7d71902ec0786ad83933e2419b/codegen_categories.jar
16/04/16 05:11:52 WARN manager.MySQLManager: It looks like you are importing from mysql.
16/04/16 05:11:52 WARN manager.MySQLManager: This transfer can be faster! Use the --direct
16/04/16 05:11:52 WARN manager.MySQLManager: option to exercise a MySQL-specific fast path.
16/04/16 05:11:52 INFO manager.MySQLManager: Setting zero DATETIME behavior to convertToNull (mysql)
16/04/16 05:11:52 INFO mapreduce.ImportJobBase: Beginning import of categories
16/04/16 05:11:52 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
16/04/16 05:11:53 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
16/04/16 05:11:56 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `categories` AS t LIMIT 1
16/04/16 05:11:56 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `categories` AS t LIMIT 1
16/04/16 05:11:59 INFO hive.metastore: Trying to connect to metastore with URI thrift://127.0.0.1:9083
16/04/16 05:11:59 INFO hive.metastore: Opened a connection to metastore, current connections: 1
16/04/16 05:11:59 INFO hive.metastore: Connected to metastore.
16/04/16 05:12:00 WARN mapreduce.DataDrivenImportJob: Target Hive table 'categories' exists! Sqoop will append data into the existing Hive table. Consider using --hive-overwrite, if you do NOT intend to do appending.
16/04/16 05:12:02 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
16/04/16 05:12:03 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
16/04/16 05:12:21 INFO db.DBInputFormat: Using read commited transaction isolation
16/04/16 05:12:21 INFO mapreduce.JobSubmitter: number of splits:1
16/04/16 05:12:21 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1460806549439_0001
16/04/16 05:12:25 INFO impl.YarnClientImpl: Submitted application application_1460806549439_0001
16/04/16 05:12:25 INFO mapreduce.Job: The url to track the job: http://quickstart.cloudera:8088/proxy/application_1460806549439_0001/
16/04/16 05:12:25 INFO mapreduce.Job: Running job: job_1460806549439_0001
16/04/16 05:13:14 INFO mapreduce.Job: Job job_1460806549439_0001 running in uber mode : false
16/04/16 05:13:14 INFO mapreduce.Job:  map 0% reduce 0%
16/04/16 05:13:43 INFO mapreduce.Job:  map 100% reduce 0%
16/04/16 05:13:45 INFO mapreduce.Job: Job job_1460806549439_0001 completed successfully
16/04/16 05:13:46 INFO mapreduce.Job: Counters: 30
	File System Counters
		FILE: Number of bytes read=0
		FILE: Number of bytes written=205148
		FILE: Number of read operations=0
		FILE: Number of large read operations=0
		FILE: Number of write operations=0
		HDFS: Number of bytes read=5685
		HDFS: Number of bytes written=3446
		HDFS: Number of read operations=48
		HDFS: Number of large read operations=0
		HDFS: Number of write operations=10
	Job Counters 
		Launched map tasks=1
		Other local map tasks=1
		Total time spent by all maps in occupied slots (ms)=21529
		Total time spent by all reduces in occupied slots (ms)=0
		Total time spent by all map tasks (ms)=21529
		Total vcore-seconds taken by all map tasks=21529
		Total megabyte-seconds taken by all map tasks=22045696
	Map-Reduce Framework
		Map input records=58
		Map output records=58
		Input split bytes=87
		Spilled Records=0
		Failed Shuffles=0
		Merged Map outputs=0
		GC time elapsed (ms)=586
		CPU time spent (ms)=4920
		Physical memory (bytes) snapshot=171204608
		Virtual memory (bytes) snapshot=1522245632
		Total committed heap usage (bytes)=60751872
	File Input Format Counters 
		Bytes Read=0
	File Output Format Counters 
		Bytes Written=0
16/04/16 05:13:46 INFO mapreduce.ImportJobBase: Transferred 3.3652 KB in 103.0853 seconds (33.4286 bytes/sec)
16/04/16 05:13:46 INFO mapreduce.ImportJobBase: Retrieved 58 records.
16/04/16 05:13:46 INFO tool.CodeGenTool: Beginning code generation
16/04/16 05:13:46 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `customers` AS t LIMIT 1
16/04/16 05:13:46 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /usr/lib/hadoop-mapreduce
Note: /tmp/sqoop-cloudera/compile/5c05ec7d71902ec0786ad83933e2419b/codegen_categories.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
16/04/16 05:13:49 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-cloudera/compile/5c05ec7d71902ec0786ad83933e2419b/codegen_categories.jar
16/04/16 05:13:49 INFO mapreduce.ImportJobBase: Beginning import of customers
16/04/16 05:13:49 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
16/04/16 05:13:49 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `customers` AS t LIMIT 1
16/04/16 05:13:49 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `customers` AS t LIMIT 1
16/04/16 05:13:50 WARN mapreduce.DataDrivenImportJob: Target Hive table 'customers' exists! Sqoop will append data into the existing Hive table. Consider using --hive-overwrite, if you do NOT intend to do appending.
16/04/16 05:13:52 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
16/04/16 05:14:07 INFO db.DBInputFormat: Using read commited transaction isolation
16/04/16 05:14:07 INFO mapreduce.JobSubmitter: number of splits:1
16/04/16 05:14:07 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1460806549439_0002
16/04/16 05:14:09 INFO impl.YarnClientImpl: Submitted application application_1460806549439_0002
16/04/16 05:14:09 INFO mapreduce.Job: The url to track the job: http://quickstart.cloudera:8088/proxy/application_1460806549439_0002/
16/04/16 05:14:09 INFO mapreduce.Job: Running job: job_1460806549439_0002
16/04/16 05:14:48 INFO mapreduce.Job: Job job_1460806549439_0002 running in uber mode : false
16/04/16 05:14:48 INFO mapreduce.Job:  map 0% reduce 0%
16/04/16 05:15:21 INFO mapreduce.Job: Task Id : attempt_1460806549439_0002_m_000000_0, Status : FAILED
Error: org.kitesdk.data.DatasetOperationException: Failed to append {"customer_id": 1, "customer_fname": "Richard", "customer_lname": "Hernandez", "customer_email": "XXXXXXXXX", "customer_password": "XXXXXXXXX", "customer_street": "6303 Heather Plaza", "customer_city": "Brownsville", "customer_state": "TX", "customer_zipcode": "78521"} to ParquetAppender{path=hdfs://quickstart.cloudera:8020/tmp/default/.temp/job_1460806549439_0002/mr/attempt_1460806549439_0002_m_000000_0/.29f12956-fca1-43a0-b212-28879220a322.parquet.tmp, schema={"type":"record","name":"customers","fields":[{"name":"id","type":["null","int"],"doc":"Converted from 'int'","default":null},{"name":"name","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"email_preferences","type":["null",{"type":"record","name":"email_preferences","fields":[{"name":"email_format","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"frequency","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"categories","type":["null",{"type":"record","name":"categories","fields":[{"name":"promos","type":["null","boolean"],"doc":"Converted from 'boolean'","default":null},{"name":"surveys","type":["null","boolean"],"doc":"Converted from 'boolean'","default":null}]}],"default":null}]}],"default":null},{"name":"addresses","type":["null",{"type":"map","values":["null",{"type":"record","name":"addresses","fields":[{"name":"street_1","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"street_2","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"city","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"state","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"zip_code","type":["null","string"],"doc":"Converted from 'string'","default":null}]}]}],"doc":"Converted from 'map<string,struct<street_1:string,street_2:string,city:string,state:string,zip_code:string>>'","default":null},{"name":"orders","type":["null",{"type":"array","items":["null",{"type":"record","name":"orders","fields":[{"name":"order_id","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"order_date","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"items","type":["null",{"type":"array","items":["null",{"type":"record","name":"items","fields":[{"name":"product_id","type":["null","int"],"doc":"Converted from 'int'","default":null},{"name":"sku","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"name","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"price","type":["null","double"],"doc":"Converted from 'double'","default":null},{"name":"qty","type":["null","int"],"doc":"Converted from 'int'","default":null}]}]}],"doc":"Converted from 'array<struct<product_id:int,sku:string,name:string,price:double,qty:int>>'","default":null}]}]}],"doc":"Converted from 'array<struct<order_id:string,order_date:string,items:array<struct<product_id:int,sku:string,name:string,price:double,qty:int>>>>'","default":null}]}, fileSystem=DFS[DFSClient[clientName=DFSClient_attempt_1460806549439_0002_m_000000_0_373030920_1, ugi=cloudera (auth:SIMPLE)]], avroParquetWriter=parquet.avro.AvroParquetWriter@1210e8f1}
	at org.kitesdk.data.spi.filesystem.FileSystemWriter.write(FileSystemWriter.java:184)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat$DatasetRecordWriter.write(DatasetKeyOutputFormat.java:325)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat$DatasetRecordWriter.write(DatasetKeyOutputFormat.java:304)
	at org.apache.hadoop.mapred.MapTask$NewDirectOutputCollector.write(MapTask.java:658)
	at org.apache.hadoop.mapreduce.task.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:89)
	at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.write(WrappedMapper.java:112)
	at org.apache.sqoop.mapreduce.ParquetImportMapper.map(ParquetImportMapper.java:70)
	at org.apache.sqoop.mapreduce.ParquetImportMapper.map(ParquetImportMapper.java:39)
	at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
	at org.apache.sqoop.mapreduce.AutoProgressMapper.run(AutoProgressMapper.java:64)
	at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
	at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
	at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:163)
	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:1671)
	at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by: java.lang.ClassCastException: java.lang.String cannot be cast to org.apache.avro.generic.IndexedRecord
	at org.apache.avro.generic.GenericData.getField(GenericData.java:658)
	at parquet.avro.AvroWriteSupport.writeRecordFields(AvroWriteSupport.java:164)
	at parquet.avro.AvroWriteSupport.writeRecord(AvroWriteSupport.java:149)
	at parquet.avro.AvroWriteSupport.writeValue(AvroWriteSupport.java:262)
	at parquet.avro.AvroWriteSupport.writeRecordFields(AvroWriteSupport.java:167)
	at parquet.avro.AvroWriteSupport.write(AvroWriteSupport.java:142)
	at parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:116)
	at parquet.hadoop.ParquetWriter.write(ParquetWriter.java:324)
	at org.kitesdk.data.spi.filesystem.ParquetAppender.append(ParquetAppender.java:75)
	at org.kitesdk.data.spi.filesystem.ParquetAppender.append(ParquetAppender.java:36)
	at org.kitesdk.data.spi.filesystem.FileSystemWriter.write(FileSystemWriter.java:178)
	... 16 more

16/04/16 05:15:46 INFO mapreduce.Job: Task Id : attempt_1460806549439_0002_m_000000_1, Status : FAILED
Error: org.kitesdk.data.DatasetOperationException: Failed to append {"customer_id": 1, "customer_fname": "Richard", "customer_lname": "Hernandez", "customer_email": "XXXXXXXXX", "customer_password": "XXXXXXXXX", "customer_street": "6303 Heather Plaza", "customer_city": "Brownsville", "customer_state": "TX", "customer_zipcode": "78521"} to ParquetAppender{path=hdfs://quickstart.cloudera:8020/tmp/default/.temp/job_1460806549439_0002/mr/attempt_1460806549439_0002_m_000000_1/.6568bad7-f7d6-4ae9-86cd-4c1c30b5e3bc.parquet.tmp, schema={"type":"record","name":"customers","fields":[{"name":"id","type":["null","int"],"doc":"Converted from 'int'","default":null},{"name":"name","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"email_preferences","type":["null",{"type":"record","name":"email_preferences","fields":[{"name":"email_format","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"frequency","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"categories","type":["null",{"type":"record","name":"categories","fields":[{"name":"promos","type":["null","boolean"],"doc":"Converted from 'boolean'","default":null},{"name":"surveys","type":["null","boolean"],"doc":"Converted from 'boolean'","default":null}]}],"default":null}]}],"default":null},{"name":"addresses","type":["null",{"type":"map","values":["null",{"type":"record","name":"addresses","fields":[{"name":"street_1","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"street_2","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"city","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"state","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"zip_code","type":["null","string"],"doc":"Converted from 'string'","default":null}]}]}],"doc":"Converted from 'map<string,struct<street_1:string,street_2:string,city:string,state:string,zip_code:string>>'","default":null},{"name":"orders","type":["null",{"type":"array","items":["null",{"type":"record","name":"orders","fields":[{"name":"order_id","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"order_date","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"items","type":["null",{"type":"array","items":["null",{"type":"record","name":"items","fields":[{"name":"product_id","type":["null","int"],"doc":"Converted from 'int'","default":null},{"name":"sku","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"name","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"price","type":["null","double"],"doc":"Converted from 'double'","default":null},{"name":"qty","type":["null","int"],"doc":"Converted from 'int'","default":null}]}]}],"doc":"Converted from 'array<struct<product_id:int,sku:string,name:string,price:double,qty:int>>'","default":null}]}]}],"doc":"Converted from 'array<struct<order_id:string,order_date:string,items:array<struct<product_id:int,sku:string,name:string,price:double,qty:int>>>>'","default":null}]}, fileSystem=DFS[DFSClient[clientName=DFSClient_attempt_1460806549439_0002_m_000000_1_-158232601_1, ugi=cloudera (auth:SIMPLE)]], avroParquetWriter=parquet.avro.AvroParquetWriter@7ccb7779}
	at org.kitesdk.data.spi.filesystem.FileSystemWriter.write(FileSystemWriter.java:184)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat$DatasetRecordWriter.write(DatasetKeyOutputFormat.java:325)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat$DatasetRecordWriter.write(DatasetKeyOutputFormat.java:304)
	at org.apache.hadoop.mapred.MapTask$NewDirectOutputCollector.write(MapTask.java:658)
	at org.apache.hadoop.mapreduce.task.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:89)
	at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.write(WrappedMapper.java:112)
	at org.apache.sqoop.mapreduce.ParquetImportMapper.map(ParquetImportMapper.java:70)
	at org.apache.sqoop.mapreduce.ParquetImportMapper.map(ParquetImportMapper.java:39)
	at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
	at org.apache.sqoop.mapreduce.AutoProgressMapper.run(AutoProgressMapper.java:64)
	at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
	at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
	at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:163)
	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:1671)
	at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by: java.lang.ClassCastException: java.lang.String cannot be cast to org.apache.avro.generic.IndexedRecord
	at org.apache.avro.generic.GenericData.getField(GenericData.java:658)
	at parquet.avro.AvroWriteSupport.writeRecordFields(AvroWriteSupport.java:164)
	at parquet.avro.AvroWriteSupport.writeRecord(AvroWriteSupport.java:149)
	at parquet.avro.AvroWriteSupport.writeValue(AvroWriteSupport.java:262)
	at parquet.avro.AvroWriteSupport.writeRecordFields(AvroWriteSupport.java:167)
	at parquet.avro.AvroWriteSupport.write(AvroWriteSupport.java:142)
	at parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:116)
	at parquet.hadoop.ParquetWriter.write(ParquetWriter.java:324)
	at org.kitesdk.data.spi.filesystem.ParquetAppender.append(ParquetAppender.java:75)
	at org.kitesdk.data.spi.filesystem.ParquetAppender.append(ParquetAppender.java:36)
	at org.kitesdk.data.spi.filesystem.FileSystemWriter.write(FileSystemWriter.java:178)
	... 16 more

16/04/16 05:16:08 INFO mapreduce.Job: Task Id : attempt_1460806549439_0002_m_000000_2, Status : FAILED
Error: org.kitesdk.data.DatasetOperationException: Failed to append {"customer_id": 1, "customer_fname": "Richard", "customer_lname": "Hernandez", "customer_email": "XXXXXXXXX", "customer_password": "XXXXXXXXX", "customer_street": "6303 Heather Plaza", "customer_city": "Brownsville", "customer_state": "TX", "customer_zipcode": "78521"} to ParquetAppender{path=hdfs://quickstart.cloudera:8020/tmp/default/.temp/job_1460806549439_0002/mr/attempt_1460806549439_0002_m_000000_2/.b9e12c70-c233-4207-98f6-aab3203e6d51.parquet.tmp, schema={"type":"record","name":"customers","fields":[{"name":"id","type":["null","int"],"doc":"Converted from 'int'","default":null},{"name":"name","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"email_preferences","type":["null",{"type":"record","name":"email_preferences","fields":[{"name":"email_format","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"frequency","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"categories","type":["null",{"type":"record","name":"categories","fields":[{"name":"promos","type":["null","boolean"],"doc":"Converted from 'boolean'","default":null},{"name":"surveys","type":["null","boolean"],"doc":"Converted from 'boolean'","default":null}]}],"default":null}]}],"default":null},{"name":"addresses","type":["null",{"type":"map","values":["null",{"type":"record","name":"addresses","fields":[{"name":"street_1","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"street_2","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"city","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"state","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"zip_code","type":["null","string"],"doc":"Converted from 'string'","default":null}]}]}],"doc":"Converted from 'map<string,struct<street_1:string,street_2:string,city:string,state:string,zip_code:string>>'","default":null},{"name":"orders","type":["null",{"type":"array","items":["null",{"type":"record","name":"orders","fields":[{"name":"order_id","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"order_date","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"items","type":["null",{"type":"array","items":["null",{"type":"record","name":"items","fields":[{"name":"product_id","type":["null","int"],"doc":"Converted from 'int'","default":null},{"name":"sku","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"name","type":["null","string"],"doc":"Converted from 'string'","default":null},{"name":"price","type":["null","double"],"doc":"Converted from 'double'","default":null},{"name":"qty","type":["null","int"],"doc":"Converted from 'int'","default":null}]}]}],"doc":"Converted from 'array<struct<product_id:int,sku:string,name:string,price:double,qty:int>>'","default":null}]}]}],"doc":"Converted from 'array<struct<order_id:string,order_date:string,items:array<struct<product_id:int,sku:string,name:string,price:double,qty:int>>>>'","default":null}]}, fileSystem=DFS[DFSClient[clientName=DFSClient_attempt_1460806549439_0002_m_000000_2_-1299212121_1, ugi=cloudera (auth:SIMPLE)]], avroParquetWriter=parquet.avro.AvroParquetWriter@2218c2e5}
	at org.kitesdk.data.spi.filesystem.FileSystemWriter.write(FileSystemWriter.java:184)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat$DatasetRecordWriter.write(DatasetKeyOutputFormat.java:325)
	at org.kitesdk.data.mapreduce.DatasetKeyOutputFormat$DatasetRecordWriter.write(DatasetKeyOutputFormat.java:304)
	at org.apache.hadoop.mapred.MapTask$NewDirectOutputCollector.write(MapTask.java:658)
	at org.apache.hadoop.mapreduce.task.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:89)
	at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.write(WrappedMapper.java:112)
	at org.apache.sqoop.mapreduce.ParquetImportMapper.map(ParquetImportMapper.java:70)
	at org.apache.sqoop.mapreduce.ParquetImportMapper.map(ParquetImportMapper.java:39)
	at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
	at org.apache.sqoop.mapreduce.AutoProgressMapper.run(AutoProgressMapper.java:64)
	at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
	at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
	at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:163)
	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:1671)
	at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by: java.lang.ClassCastException: java.lang.String cannot be cast to org.apache.avro.generic.IndexedRecord
	at org.apache.avro.generic.GenericData.getField(GenericData.java:658)
	at parquet.avro.AvroWriteSupport.writeRecordFields(AvroWriteSupport.java:164)
	at parquet.avro.AvroWriteSupport.writeRecord(AvroWriteSupport.java:149)
	at parquet.avro.AvroWriteSupport.writeValue(AvroWriteSupport.java:262)
	at parquet.avro.AvroWriteSupport.writeRecordFields(AvroWriteSupport.java:167)
	at parquet.avro.AvroWriteSupport.write(AvroWriteSupport.java:142)
	at parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:116)
	at parquet.hadoop.ParquetWriter.write(ParquetWriter.java:324)
	at org.kitesdk.data.spi.filesystem.ParquetAppender.append(ParquetAppender.java:75)
	at org.kitesdk.data.spi.filesystem.ParquetAppender.append(ParquetAppender.java:36)
	at org.kitesdk.data.spi.filesystem.FileSystemWriter.write(FileSystemWriter.java:178)
	... 16 more

16/04/16 05:16:35 INFO mapreduce.Job:  map 100% reduce 0%
16/04/16 05:16:37 INFO mapreduce.Job: Job job_1460806549439_0002 failed with state FAILED due to: Task failed task_1460806549439_0002_m_000000
Job failed as tasks failed. failedMaps:1 failedReduces:0

16/04/16 05:16:37 INFO mapreduce.Job: Counters: 8
	Job Counters 
		Failed map tasks=4
		Launched map tasks=4
		Other local map tasks=4
		Total time spent by all maps in occupied slots (ms)=92115
		Total time spent by all reduces in occupied slots (ms)=0
		Total time spent by all map tasks (ms)=92115
		Total vcore-seconds taken by all map tasks=92115
		Total megabyte-seconds taken by all map tasks=94325760
16/04/16 05:16:37 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead
16/04/16 05:16:37 INFO mapreduce.ImportJobBase: Transferred 0 bytes in 164.838 seconds (0 bytes/sec)
16/04/16 05:16:37 WARN mapreduce.Counters: Group org.apache.hadoop.mapred.Task$Counter is deprecated. Use org.apache.hadoop.mapreduce.TaskCounter instead
16/04/16 05:16:37 INFO mapreduce.ImportJobBase: Retrieved 0 records.
16/04/16 05:16:37 ERROR tool.ImportAllTablesTool: Error during import: Import job failed!

[#2 · Accepted solution]

Reimported Virtualbox appliance and now it works.

[#3]

Delete the old VM and then start new one.It worked for me.

[#4]

wanted to say "now it works".