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[置顶] reduce端缓存数据过多出现FGC，导致reduce生成的数据无法写到hdfs

来源：程序员人生发布时间：2014-12-18 09:01:30 阅读次数：4177次

搜索推荐有1个job，1000多个map，200个reduce，运行到最后只剩1个reduce（10.39.6.130上）的时候，出现以下异常，致使job失败：

2014⑴2-04 15:49:04,297 INFO [main] org.apache.hadoop.mapred.Merger: Down to the last merge-pass, with 12 segments left of total size: 11503294914 bytes
2014⑴2-04 15:49:04,314 INFO [main] org.apache.hadoop.conf.Configuration.deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id
2014⑴2-04 15:49:04,394 INFO [main] org.apache.hadoop.io.compress.CodecPool: Got brand-new compressor [.lzo_deflate]
2014⑴2-04 16:02:26,889 WARN [ResponseProcessor for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086] org.apache.hadoop.hdfs.DFSClient: DFSOutputStream ResponseProcessor exception  for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086
java.io.IOException: Bad response ERROR for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086 from datanode 10.39.5.193:50010
	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer$ResponseProcessor.run(DFSOutputStream.java:819)
2014⑴2-04 16:02:26,889 WARN [ResponseProcessor for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223] org.apache.hadoop.hdfs.DFSClient: DFSOutputStream ResponseProcessor exception  for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223
java.io.IOException: Bad response ERROR for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223 from datanode 10.39.1.90:50010
	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer$ResponseProcessor.run(DFSOutputStream.java:819)
2014⑴2-04 16:02:26,891 WARN [DataStreamer for file /dw_ext/recmd/mds6/mds_filter_relation_10/20141203/_temporary/1/_temporary/attempt_1415948652989_195149_r_000158_3/user-r-00158 block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086] org.apache.hadoop.hdfs.DFSClient: Error Recovery for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086 in pipeline 10.39.6.130:50010, 10.39.5.185:50010, 10.39.5.193:50010: bad datanode 10.39.5.193:50010
2014⑴2-04 16:02:26,891 WARN [DataStreamer for file /dw_ext/recmd/mds6/mds_filter_relation_10/20141203/_temporary/1/_temporary/attempt_1415948652989_195149_r_000158_3/exposure-r-00158 block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223] org.apache.hadoop.hdfs.DFSClient: Error Recovery for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223 in pipeline 10.39.6.130:50010, 10.39.1.89:50010, 10.39.1.90:50010: bad datanode 10.39.1.90:50010
java.io.EOFException: Premature EOF: no length prefix available
	at org.apache.hadoop.hdfs.protocolPB.PBHelper.vintPrefixed(PBHelper.java:1987)
	at org.apache.hadoop.hdfs.protocol.datatransfer.PipelineAck.readFields(PipelineAck.java:176)
	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer$ResponseProcessor.run(DFSOutputStream.java:796)

2014⑴2-04 16:05:23,743 FATAL [main] org.apache.hadoop.mapred.YarnChild: Error running child : java.lang.OutOfMemoryError: Java heap space
	at java.util.Arrays.copyOf(Arrays.java:2734)
	at java.util.Vector.ensureCapacityHelper(Vector.java:226)
	at java.util.Vector.add(Vector.java:728)
	at rec.CommonUtil.pack_Treeset(CommonUtil.java:395)
	at rec.ConvertExposure10$MyReducer.collect_exposure(ConvertExposure10.java:259)
	at rec.ConvertExposure10$MyReducer.reduce(ConvertExposure10.java:329)
	at rec.ConvertExposure10$MyReducer.reduce(ConvertExposure10.java:234)
	at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:444)
	at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:392)
	at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:167)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Subject.java:396)
	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1550)
	at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:162)

从异常上看，首先是reduce在往hdfs写数据时，发现建pipeline时，没有收到pipeline上最后1个节点的回应：

2014⑴2-04 16:02:26,889 WARN [ResponseProcessor for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086] org.apache.hadoop.hdfs.DFSClient: DFSOutputStream ResponseProcessor exception  for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086
java.io.IOException: Bad response ERROR for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086 from datanode 10.39.5.193:50010
	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer$ResponseProcessor.run(DFSOutputStream.java:819)
2014⑴2-04 16:02:26,889 WARN [ResponseProcessor for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223] org.apache.hadoop.hdfs.DFSClient: DFSOutputStream ResponseProcessor exception  for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223
java.io.IOException: Bad response ERROR for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223 from datanode 10.39.1.90:50010
	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer$ResponseProcessor.run(DFSOutputStream.java:819)
2014⑴2-04 16:02:26,891 WARN [DataStreamer for file /dw_ext/recmd/mds6/mds_filter_relation_10/20141203/_temporary/1/_temporary/attempt_1415948652989_195149_r_000158_3/user-r-00158 block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086] org.apache.hadoop.hdfs.DFSClient: Error Recovery for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086 in pipeline 10.39.6.130:50010, 10.39.5.185:50010, 10.39.5.193:50010: bad datanode 10.39.5.193:50010
2014⑴2-04 16:02:26,891 WARN [DataStreamer for file /dw_ext/recmd/mds6/mds_filter_relation_10/20141203/_temporary/1/_temporary/attempt_1415948652989_195149_r_000158_3/exposure-r-00158 block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223] org.apache.hadoop.hdfs.DFSClient: Error Recovery for block BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394153869_320473223 in pipeline 10.39.6.130:50010, 10.39.1.89:50010, 10.39.1.90:50010: bad datanode 10.39.1.90:50010
java.io.EOFException: Premature EOF: no length prefix available
	at org.apache.hadoop.hdfs.protocolPB.PBHelper.vintPrefixed(PBHelper.java:1987)
	at org.apache.hadoop.hdfs.protocol.datatransfer.PipelineAck.readFields(PipelineAck.java:176)
	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer$ResponseProcessor.run(DFSOutputStream.java:796)

这里以写block：blk_1394149732_320469086为例，pipeline[10.39.6.130:50010, 10.39.5.185:50010, 10.39.5.193:50010]上面的最后1个DN是10.39.5.193，到10.39.5.193查看该block的日志信息：

2014⑴2-04 16:00:57,424 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Exception for BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086

java.net.SocketTimeoutException: 60000 millis timeout while waiting for channel to be ready for read. ch : java.nio.channels.SocketChannel[connected local=/10.39.5.193:50010 remote=/10.39.5.185:58225]
        at org.apache.hadoop.net.SocketIOWithTimeout.doIO(SocketIOWithTimeout.java:164)
        at org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:161)
        at org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:131)
        at java.io.BufferedInputStream.fill(BufferedInputStream.java:218)
        at java.io.BufferedInputStream.read1(BufferedInputStream.java:258)
        at java.io.BufferedInputStream.read(BufferedInputStream.java:317)
        at java.io.DataInputStream.read(DataInputStream.java:132)
        at org.apache.hadoop.io.IOUtils.readFully(IOUtils.java:192)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doReadFully(PacketReceiver.java:213)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doRead(PacketReceiver.java:134)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.receiveNextPacket(PacketReceiver.java:109)
        at org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receivePacket(BlockReceiver.java:446)
        at org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receiveBlock(BlockReceiver.java:702)
        at org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:739)
        at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:124)
        at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:71)
        at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:232)
        at java.lang.Thread.run(Thread.java:662)
2014⑴2-04 16:00:57,424 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086, type=LAST_IN_PIPELINE, downstreams=0:[]: Thread is interrupted.

10.39.5.193上面日志显示，在读取pipeline上1个节点10.39.5.185的Packet时，1直读取不到，直到10分钟超时：

java.net.SocketTimeoutException: 60000 millis timeout while waiting for channel to be ready for read. ch : java.nio.channels.SocketChannel[connected local=/10.39.5.193:50010 remote=/10.39.5.185:58225]

那我们来看以下pipeline上第2个节点10.39.5.185，dn日志以下：

2014⑴2-04 16:00:57,988 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086, type=HAS_DOWNSTREAM_IN_PIPELINE

java.io.EOFException: Premature EOF: no length prefix available
        at org.apache.hadoop.hdfs.protocolPB.PBHelper.vintPrefixed(PBHelper.java:1987)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PipelineAck.readFields(PipelineAck.java:176)
        at org.apache.hadoop.hdfs.server.datanode.BlockReceiver$PacketResponder.run(BlockReceiver.java:1083)
        at java.lang.Thread.run(Thread.java:662)
2014⑴2-04 16:00:58,008 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Exception for BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086
java.net.SocketTimeoutException: 60000 millis timeout while waiting for channel to be ready for read. ch : java.nio.channels.SocketChannel[connected local=/10.39.5.185:50010 remote=/10.39.6.130:59083]
        at org.apache.hadoop.net.SocketIOWithTimeout.doIO(SocketIOWithTimeout.java:164)
        at org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:161)
        at org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:131)
        at java.io.BufferedInputStream.fill(BufferedInputStream.java:218)
        at java.io.BufferedInputStream.read1(BufferedInputStream.java:258)
        at java.io.BufferedInputStream.read(BufferedInputStream.java:317)
        at java.io.DataInputStream.read(DataInputStream.java:132)
        at org.apache.hadoop.io.IOUtils.readFully(IOUtils.java:192)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doReadFully(PacketReceiver.java:213)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doRead(PacketReceiver.java:134)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.receiveNextPacket(PacketReceiver.java:109)
        at org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receivePacket(BlockReceiver.java:446)
        at org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receiveBlock(BlockReceiver.java:702)
        at org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:739)
        at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:124)
        at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:71)
        at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:232)
        at java.lang.Thread.run(Thread.java:662)
2014⑴2-04 16:00:58,009 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086, type=HAS_DOWNSTREAM_IN_PIPELINE: Thread is interrupted.

和10.39.5.193日志类似，也是在等待读取pipeline的第1个节点10.39.6.130的Packet时超时：

java.net.SocketTimeoutException: 60000 millis timeout while waiting for channel to be ready for read. ch : java.nio.channels.SocketChannel[connected local=/10.39.5.185:50010 remote=/10.39.6.130:59083]

这样说来，问题出在10.39.6.130上，也即reduce任务运行的节点上，该节点DN日志以下：

2014⑴2-04 16:00:59,987 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Exception for BP⑴386326728⑴0.39.2.131⑴382089338395:blk_1394149732_320469086
java.net.SocketTimeoutException: 60000 millis timeout while waiting for channel to be ready for read. ch : java.nio.channels.SocketChannel[connected local=/10.39.6.130:50010 remote=/10.39.6.130:45259]
        at org.apache.hadoop.net.SocketIOWithTimeout.doIO(SocketIOWithTimeout.java:164)
        at org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:161)
        at org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:131)
        at java.io.BufferedInputStream.fill(BufferedInputStream.java:218)
        at java.io.BufferedInputStream.read1(BufferedInputStream.java:258)
        at java.io.BufferedInputStream.read(BufferedInputStream.java:317)
        at java.io.DataInputStream.read(DataInputStream.java:132)
        at org.apache.hadoop.io.IOUtils.readFully(IOUtils.java:192)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doReadFully(PacketReceiver.java:213)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.doRead(PacketReceiver.java:134)
        at org.apache.hadoop.hdfs.protocol.datatransfer.PacketReceiver.receiveNextPacket(PacketReceiver.java:109)
        at org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receivePacket(BlockReceiver.java:446)
        at org.apache.hadoop.hdfs.server.datanode.BlockReceiver.receiveBlock(BlockReceiver.java:702)
        at org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:739)
        at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:124)
        at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:71)
        at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:232)
        at java.lang.Thread.run(Thread.java:662)

但是根据日志信息，10.39.6.130的DN也是在等待Packet，但是1直等到超时也没等到：

java.net.SocketTimeoutException: 60000 millis timeout while waiting for channel to be ready for read. ch : java.nio.channels.SocketChannel[connected local=/10.39.6.130:50010 remote=/10.39.6.130:45259]

看来不是10.39.6.130节点DN的问题，如果pipeline上面3个DN都没有问题，那问题肯定就出在dfsclient端了，也就是reduce任务在往hdfs写数据的时候根本就没有写得出去，在dfsclient上面就给堵住了，接下来查看dfsclient，也就是reduce任务进程的履行情况：

在10.39.6.130上，根据任务id：attempt_1415948652989_195149_r_000158_3 找到进程id 31050，查看内存使用情况：

jstat -gcutil 31050 1000： S0 S1 E O P YGC YGCT FGC FGCT GCT 68.95 0.00 0.00 92.98 66.32 111 16.825 10 25.419 42.244 68.95 0.00 0.00 92.98 66.32 111 16.825 10 25.419 42.244 68.95 0.00 0.00 92.98 66.32 111 16.825 10 25.419 42.244 68.95 0.00 0.00 92.98 66.32 111 16.825 10 25.419 42.244 68.95 0.00 0.00 92.98 66.32 111 16.825 10 25.419 42.244 68.95 0.00 0.00 92.98 66.32 111 16.825 10 25.419 42.244 68.95 0.00 26.75 100.00 66.32 111 16.825 10 25.419 42.244 0.00 0.00 31.85 100.00 68.16 111 16.825 10 44.767 61.591 0.00 0.00 35.37 100.00 68.16 111 16.825 10 44.767 61.591 0.00 0.00 40.64 100.00 68.16 111 16.825 10 44.767 61.591 0.00 0.00 45.35 100.00 68.16 111 16.825 10 44.767 61.591 0.00 0.00 48.87 100.00 68.16 111 16.825 10 44.767 61.591 0.00 0.00 54.14 100.00 68.16 111 16.825 10 44.767 61.591 0.00 0.00 58.85 100.00 68.16 111 16.825 10 44.767 61.591

果然，JVM老年代被占满，不断履行FGC，直接stop the world，致使JVM没法对外提供服务，致使dfsclient挂起，1直不能往pipeline上面的节点写Packet，直到socket超时。

根据reduce任务最后的日志，也从侧面验证了这类观点：

Error running child : java.lang.OutOfMemoryError: Java heap space

既然是OOM致使的job失败，那是甚么对象致使的内存泄漏呢：

履行：

jmap -histo:live 31050 > jmap.log cat jmap.log : num #instances #bytes class name ---------------------------------------------- 1: 71824177 2872967080 java.util.TreeMap$Entry 2: 71822939 1723750536 java.lang.Long 3: 10684 24777776 [B 4: 47174 6425152 <methodKlass> 5: 47174 6408120 <constMethodKlass> 6: 3712 4429776 <constantPoolKlass> 7: 66100 3979224 <symbolKlass> 8: 3712 2938192 <instanceKlassKlass> 9: 3125 2562728 <constantPoolCacheKlass> 10: 3477 1267752 [I 11: 12923 1180224 [C 12: 1794 772488 <methodDataKlass> 13: 13379 428128 java.lang.String 14: 4034 419536 java.lang.Class 15: 6234 410312 [S 16: 6409 352576 [[I 17: 7567 242144 java.util.HashMap$Entry 18: 293 171112 <objArrayKlassKlass> 19: 4655 148960 java.util.Hashtable$Entry 20: 1535 135080 java.lang.reflect.Method 21: 842 121696 [Ljava.util.HashMap$Entry;

果然啊，reduce代码中使用了TreeMap，往里面放置了大量对象，致使出现OOM，TreeMap的Entry就站用了2.8G内存，而我们reduce设置的内存也就1.5G。

总结：对该job出现的异常，1般在以下几种情况下产生：

1、写数据块的DN出现问题，不能写入，就像之前出现的DN由于本地读问题致使xceivers(每一个DN用于并发数据传输处理最大线程数)到达4096，耗尽了所有的线程，没法对新发起的输出写入做出相应。

2、网络出现异常，DN节点进或出的带宽被耗尽，致使数据写不出去或写不进来，这类情况可以视察ganglia看节点带宽使用情况，这类情况1般比较少。当该job出现问题的时候，也怀疑过是带宽被耗尽的问题，查看了1下相干节点ganglia带宽使用情况，最大in/out 85M/s左右，最后排除是带宽问题。

3、dfsclient出现问题，长时间没反应，致使已发起的socket超时。由于dfsclient情况比较复杂，出现问题的情况比较多，比如本问就是由于reduce出现内存溢出，jvm不断进行FGC，致使dfsclient挂起，终究socket出现超时。

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