我所有的映射器都出现了以下异常。为了简洁起见，我仅展示了最后一次失败。
为什么会发生这种情况，我该如何解决？
16/09/21 17:01:57 INFO mapred.JobClient: Task Id : attempt_201609151451_0044_m_000002_2, Status : FAILED
java.io.EOFException
at java.io.DataInputStream.readFully(DataInputStream.java:197)
at java.io.DataInputStream.readUTF(DataInputStream.java:609)
at java.io.DataInputStream.readUTF(DataInputStream.java:564)
at org.apache.accumulo.core.client.mapreduce.RangeInputSplit.readFields(RangeInputSplit.java:154)
at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:71)
at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:42)
at org.apache.hadoop.mapred.MapTask.getSplitDetails(MapTask.java:356)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:640)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:330)
at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
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.ap
16/09/21 17:02:00 INFO mapred.JobClient: Job complete: job_201609151451_0044
16/09/21 17:02:00 INFO mapred.JobClient: Counters: 8
16/09/21 17:02:00 INFO mapred.JobClient: Job Counters
16/09/21 17:02:00 INFO mapred.JobClient: Failed map tasks=1
16/09/21 17:02:00 INFO mapred.JobClient: Launched map tasks=48
16/09/21 17:02:00 INFO mapred.JobClient: Data-local map tasks=13
16/09/21 17:02:00 INFO mapred.JobClient: Rack-local map tasks=35
16/09/21 17:02:00 INFO mapred.JobClient: Total time spent by all maps in occupied slots (ms)=343982
16/09/21 17:02:00 INFO mapred.JobClient: Total time spent by all reduces in occupied slots (ms)=0
16/09/21 17:02:00 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0
16/09/21 17:02:00 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0
我正在使用Accumulo表作为我的输入数据。我的设置如下：
@Override
public int run(String[] args) throws Exception {
Configuration conf = getConf();
String idMapFileContent = readResourceFile(TYPE_ID_MAP_FILENAME);
conf.set(TYPE_ID_MAP_KEY, idMapFileContent);
Job job = Job.getInstance(conf, this.getClass().getSimpleName());
job.setJarByClass(this.getClass());
job.setMapperClass(DanglingLinksFinderMapper.class);
job.setReducerClass(DanglingLinksFinderReducer.class);
this.setupRowInputFormat(job);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
job.setOutputFormatClass(TextOutputFormat.class);
Path out = new Path(args[0]);
LOGGER.info("Writing to output directory: " + out.toUri());
FileOutputFormat.setOutputPath(job, out);
int exitCode = job.waitForCompletion(true) ? 0 : 1;
}
private Job setupRowInputFormat(Job job)
throws IOException, AccumuloSecurityException
{
job.setInputFormatClass(AccumuloRowInputFormat.class);
Configuration conf = job.getConfiguration();
AccumuloConnectInfo connectInfo = new AccumuloConnectInfo(conf);
LOGGER.info(connectInfo.toString());
AccumuloRowInputFormat.setZooKeeperInstance(job, connectInfo.getInstanceNames(), connectInfo.getZookeeperInstanceNames());
AccumuloRowInputFormat.setConnectorInfo(job, connectInfo.getUserName(), connectInfo.getPassword());
AccumuloRowInputFormat.setScanAuthorizations(job, new Authorizations());
AccumuloRowInputFormat.setInputTableName(job, TABLE_NAME);
return job;
}
我正在使用Hadoop 2.6.0，Accumulo 1.5.0和Java 1.7。
我前几天曾经成功运行过，而且（据我所知）没有更改任何东西。所以我认为可能与我正在运行的服务器上的配置或数据状态有关？在我的本地机器上的Docker容器上运行测试表时，作业可以正常工作，但在远程测试服务器上失败了。
我可以登录`accumulo shell`并扫描我正在处理的表。那里面一切看起来都很好。我还尝试在测试服务器上运行压缩，这也正常工作，但未解决问题。