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HDFS核心参数配置

1. NameNode内存生产配置

  1. Hadoop2.x系列,配置NameNode内存 NameNode内存默认2000m,在hadoop-env.sh文件中配置如下:
sh
# NameNode内存配置3g
HADOOP_NAMENODE_OPTS=-Xmx3072m
  1. Hadoop3.x系列,配置NameNode内存 Hadoop3.x默认是内存是系统动态分配的,可以通过查看hadoop-env.sh文件:

The maximum amount of heap to use (Java -Xmx). If no unit is provided, it will be converted to MB. Daemons will prefer any Xmx setting in their respective _OPT variable. There is no default; the JVM will autoscale based upon machine memory size.
export HADOOP_HEAPSIZE_MAX=

The minimum amount of heap to use (Java -Xms). If no unit is provided, it will be converted to MB. Daemons will prefer any Xms setting in their respective _OPT variable. There is no default; the JVM will autoscale based upon machine memory size.
export HADOOP_HEAPSIZE_MIN=

HADOOP_NAMENODE_OPTS=-Xmx102400m

  1. 查看目前NameNode占用内存
sh
### 获取NameNode进程id
[jack@hadoop102 hadoop]$ jps
9953 DataNode
29689 Jps
9835 NameNode
10267 NodeManager
10428 JobHistoryServer
### 使用jmap命令查看NameNode内存
[jack@hadoop102 hadoop]$ jmap -heap 9835
Attaching to process ID 9835, please wait...
Debugger attached successfully.
Server compiler detected.
JVM version is 25.391-b13

using thread-local object allocation.
Mark Sweep Compact GC

Heap Configuration:
   MinHeapFreeRatio         = 40
   MaxHeapFreeRatio         = 70
   MaxHeapSize              = 255852544 (244.0MB)
   NewSize                  = 5570560 (5.3125MB)
   MaxNewSize               = 85262336 (81.3125MB)
   OldSize                  = 11206656 (10.6875MB)
   NewRatio                 = 2
   SurvivorRatio            = 8
   MetaspaceSize            = 21807104 (20.796875MB)
   CompressedClassSpaceSize = 1073741824 (1024.0MB)
   MaxMetaspaceSize         = 17592186044415 MB
   G1HeapRegionSize         = 0 (0.0MB)
### 使用jmap命令查看DataNode内存
[jack@hadoop102 hadoop]$ jmap -heap 9953
Attaching to process ID 9953, please wait...
Debugger attached successfully.
Server compiler detected.
JVM version is 25.391-b13

using thread-local object allocation.
Mark Sweep Compact GC

Heap Configuration:
   MinHeapFreeRatio         = 40
   MaxHeapFreeRatio         = 70
   MaxHeapSize              = 255852544 (244.0MB)
   NewSize                  = 5570560 (5.3125MB)
   MaxNewSize               = 85262336 (81.3125MB)
   OldSize                  = 11206656 (10.6875MB)
   NewRatio                 = 2
   SurvivorRatio            = 8
   MetaspaceSize            = 21807104 (20.796875MB)
   CompressedClassSpaceSize = 1073741824 (1024.0MB)
   MaxMetaspaceSize         = 17592186044415 MB
   G1HeapRegionSize         = 0 (0.0MB)

可以看见MaxHeapSize都是244.0MB,也就是NameNode、DataNode占用内存最大是244.0MB,NameNode、DataNode的内存是自动分配的,且相等。不是很合理。
可以参考CDH官网的配置指导:https://docs.cloudera.com/documentation/enterprise/6/release-notes/topics/rg_hardware_requirements.html#concept_fzz_dq4_gbb, 其中对NameNode、DataNode如下图: Alt text 4. 修改hadoop-env.sh配置NameNode、DataNode内存

sh
export HDFS_NAMENODE_OPTS="-Dhadoop.security.logger=INFO,RFAS -Xmx512m"
export HDFS_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS -Xmx1024m"

2. NameNode心跳并发配置

NameNode有一个工作线程池,用来处理不同DataNode的并发心跳以及客户端并发的元数据操作。对于大集群或者有大量客户端的集群来说,通常需要增大该参数。默认值是10。

2.1 计算心跳并发量

心跳并发数量有一个公式可以计算得出:

企业经验

Alt text 比如集群规模(DataNode台数)为3台时,此参数设置为21。可通过简单的python代码计算该值:

sh
[jack@hadoop102 hadoop]$ python
Python 2.7.5 (default, Nov 14 2023, 16:14:06) 
[GCC 4.8.5 20150623 (Red Hat 4.8.5-44)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import math
>>> print int(20*math.log(3))
21
>>> quit()

2.2 配置hdfs-site.xml

xml
<property>
    <name>dfs.namenode.handler.count</name>
    <value>21</value>
</property>

3. 开启回收站

开启回收站功能,可以将删除的文件在不超时的情况下,恢复原数据,起到防止误删除、备份等作用。

3.1 回收站工作机制

Alt text 回收站参数说明:

  • 默认值fs.trash.interval = 0,0表示禁用回收站;其他值表示设置文件的存活时间。
  • 默认值fs.trash.checkpoint.interval = 0,检查回收站的间隔时间。如果该值为0,则该值设置和fs.trash.interval的参数值相等。
  • 要求fs.trash.checkpoint.interval <= fs.trash.interval。

3.2 启用回收站

回收站目录在HDFS集群中的路径:/user/jack/.Trash/…

3.3 验证回收站

sh
[jack@hadoop102 hadoop-3.3.6]$ hadoop fs -rm -r /user/jack/input
2021-07-14 16:13:42,643 INFO fs.TrashPolicyDefault: Moved: 'hdfs://hadoop102:9820/user/jack/input' to trash at: hdfs://hadoop102:9820/user/jack/.Trash/Current/user/jack/input

3.4 恢复回收站数据

sh
[jack@hadoop102 hadoop-3.3.6]$ hadoop fs -mv
/user/jack/.Trash/Current/user/jack/input    /user/jack/input

特别注意

  1. 通过程序删除的文件不会经过回收站, 需要调用moveToTrash()才进入回收站
java
Trash trash = New Trash(conf);
trash.moveToTrash(path);
  1. 通过网页上直接删除的文件也不会走回收站。