Below is the full stack trace. 16/09/14 15:49:10 INFO mapreduce.Job: Running job: job_1473774257007_0002
16/09/14 15:49:19 INFO mapreduce.Job: Job job_1473774257007_0002 running in uber mode : false
16/09/14 15:49:19 INFO mapreduce.Job: map 0% reduce 0%
16/09/14 15:49:22 INFO mapreduce.Job: Task Id : attempt_1473774257007_0002_m_000000_0, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
Container killed by the ApplicationMaster.
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143 16/09/14 15:49:25 INFO mapreduce.Job: Task Id : attempt_1473774257007_0002_m_000000_1, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
16/09/14 15:49:29 INFO mapreduce.Job: Task Id : attempt_1473774257007_0002_m_000000_2, Status : FAILED
Error: org.apache.avro.generic.GenericData.createDatumWriter(Lorg/apache/avro/Schema;)Lorg/apache/avro/io/DatumWriter;
16/09/14 15:49:35 INFO mapreduce.Job: map 100% reduce 0%
16/09/14 15:49:36 INFO mapreduce.Job: Job job_1473774257007_0002 failed with state FAILED due to: Task failed task_1473774257007_0002_m_000000
Job failed as tasks failed. failedMaps:1 failedReduces:0 16/09/14 15:49:36 INFO mapreduce.Job: Counters: 12
Job Counters
Failed map tasks=4
Launched map tasks=4
Other local map tasks=3
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=8818
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=8818
Total vcore-seconds taken by all map tasks=8818
Total megabyte-seconds taken by all map tasks=18059264
Map-Reduce Framework
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
16/09/14 15:49:36 INFO processor.TeradataInputProcessor: input postprocessor com.teradata.connector.teradata.processor.TeradataSplitByHashProcessor starts at: 1473848376584
16/09/14 15:49:37 INFO processor.TeradataInputProcessor: input postprocessor com.teradata.connector.teradata.processor.TeradataSplitByHashProcessor ends at: 1473848376584
16/09/14 15:49:37 INFO processor.TeradataInputProcessor: the total elapsed time of input postprocessor com.teradata.connector.teradata.processor.TeradataSplitByHashProcessor is: 0s
16/09/14 15:49:37 INFO teradata.TeradataSqoopImportHelper: Teradata import job completed with exit code 1
16/09/14 15:49:37 ERROR tool.ImportTool: Error during import: Import Job failed Schema : {
"type" : "record",
"namespace" : "avronamespace",
"name" : "Employee",
"fields" : [
{ "name" : "Id" , "type" : "string" },
{ "name" : "Name" , "type" : "string" }
]
} Also my concern is , why avro schema file is required here. I am trying to import data from Teradata to HDFS using avro file format. Please help.
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