由于 MEMORY 问题,Hadoop HA 备用 Namenode 启动在安全模式下挂起
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【中文标题】由于 MEMORY 问题,Hadoop HA 备用 Namenode 启动在安全模式下挂起【英文标题】:Hadoop HA Standby Namenode start up hang in safemode because of MEMORY problem 【发布时间】:2019-07-26 14:32:18 【问题描述】:在NN-A(活动)由于内存不足(太多块/文件)而崩溃后,我们升级了具有更多内存的NN-A,但不立即升级NN-B(非活动)。
由于HeapSize不同,我们删除了一些文件(8000万到7000万),然后NN-B崩溃了。 NN-A 变得活跃。
然后我们升级了 NN-B,并启动它。它卡在安全模式,日志如下:
报告的块 4620668 需要额外的 62048327 个块才能达到总块 66735729 的阈值 0.9990。
The reported blocks X needs..
X 增长缓慢,我查看了 Heap 使用情况:
Attaching to process ID 11598, please wait...
Debugger attached successfully.
Server compiler detected.
JVM version is 24.79-b02
using parallel threads in the new generation.
using thread-local object allocation.
Concurrent Mark-Sweep GC
Heap Configuration:
MinHeapFreeRatio = 40
MaxHeapFreeRatio = 70
MaxHeapSize = 107374182400 (102400.0MB)
NewSize = 2006515712 (1913.5625MB)
MaxNewSize = 2006515712 (1913.5625MB)
OldSize = 4013096960 (3827.1875MB)
NewRatio = 2
SurvivorRatio = 8
PermSize = 21757952 (20.75MB)
MaxPermSize = 85983232 (82.0MB)
G1HeapRegionSize = 0 (0.0MB)
Heap Usage:
New Generation (Eden + 1 Survivor Space):
capacity = 1805910016 (1722.25MB)
used = 1805910016 (1722.25MB)
free = 0 (0.0MB)
100.0% used
Eden Space:
capacity = 1605304320 (1530.9375MB)
used = 1605304320 (1530.9375MB)
free = 0 (0.0MB)
100.0% used
From Space:
capacity = 200605696 (191.3125MB)
used = 200605696 (191.3125MB)
free = 0 (0.0MB)
100.0% used
To Space:
capacity = 200605696 (191.3125MB)
used = 0 (0.0MB)
free = 200605696 (191.3125MB)
0.0% used
concurrent mark-sweep generation:
capacity = 105367666688 (100486.4375MB)
used = 105192740832 (100319.61520385742MB)
free = 174925856 (166.82229614257812MB)
99.83398526179955% used
Perm Generation:
capacity = 68755456 (65.5703125MB)
used = 41562968 (39.637535095214844MB)
free = 27192488 (25.932777404785156MB)
60.45042883578577% used
14501 interned Strings occupying 1597840 bytes.
同时,NN-A的堆:
Attaching to process ID 6061, please wait...
Debugger attached successfully.
Server compiler detected.
JVM version is 24.79-b02
using parallel threads in the new generation.
using thread-local object allocation.
Concurrent Mark-Sweep GC
Heap Configuration:
MinHeapFreeRatio = 40
MaxHeapFreeRatio = 70
MaxHeapSize = 107374182400 (102400.0MB)
NewSize = 1134100480 (1081.5625MB)
MaxNewSize = 1134100480 (1081.5625MB)
OldSize = 2268266496 (2163.1875MB)
NewRatio = 2
SurvivorRatio = 8
PermSize = 21757952 (20.75MB)
MaxPermSize = 85983232 (82.0MB)
G1HeapRegionSize = 0 (0.0MB)
Heap Usage:
New Generation (Eden + 1 Survivor Space):
capacity = 1020723200 (973.4375MB)
used = 643184144 (613.3881988525391MB)
free = 377539056 (360.04930114746094MB)
63.01259185644061% used
Eden Space:
capacity = 907345920 (865.3125MB)
used = 639407504 (609.7865142822266MB)
free = 267938416 (255.52598571777344MB)
70.47009193582973% used
From Space:
capacity = 113377280 (108.125MB)
used = 3776640 (3.6016845703125MB)
free = 109600640 (104.5233154296875MB)
3.3310377528901736% used
To Space:
capacity = 113377280 (108.125MB)
used = 0 (0.0MB)
free = 113377280 (108.125MB)
0.0% used
concurrent mark-sweep generation:
capacity = 106240081920 (101318.4375MB)
used = 42025146320 (40078.30268859863MB)
free = 64214935600 (61240.13481140137MB)
39.55677138092327% used
Perm Generation:
capacity = 51249152 (48.875MB)
used = 51131744 (48.763031005859375MB)
free = 117408 (0.111968994140625MB)
99.77090742886828% used
16632 interned Strings occupying 1867136 bytes.
我们尝试重新启动两者,NN-A 启动并在 10 分钟内变为活动状态,但 NN-B 永远卡住了。
最后我转储了堆使用情况:
num #instances #bytes class name
----------------------------------------------
1: 185594071 13362773112 org.apache.hadoop.hdfs.protocol.proto.HdfsProtos$BlockProto
2: 185594071 13362773112 org.apache.hadoop.hdfs.protocol.proto.DatanodeProtocolProtos$ReceivedDeletedBlockInfoProto
3: 101141030 10550504248 [Ljava.lang.Object;
4: 185594072 7423762880 org.apache.hadoop.hdfs.protocol.Block
5: 185594070 7423762800 org.apache.hadoop.hdfs.server.protocol.ReceivedDeletedBlockInfo
6: 63149803 6062381088 org.apache.hadoop.hdfs.server.namenode.INodeFile
7: 23241035 5705267888 [B
它显示了非常非常大的 ReceivedDeletedBlock 计数,但是为什么呢?
【问题讨论】:
【参考方案1】:我通过将dfs.blockreport.initialDelay
更改为300
解决了这个问题,失败的原因是Block Report Storm
。
【讨论】:
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