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hadoop-3.3.6和hbase-2.4.13

news 2025/8/22 10:01:51

版本选择

首先问问hadoop版本的支持矩阵，在看看大家推荐的组合版本。听劝，总没错

hadop-3.3.6下载

Apache Hadoophttps://hadoop.apache.org/releases.html官网一看，hadoop-3.3.6之上还有两个最新的版本，听劝，人家都说此版本最稳定。

hbase-2.4.13下载

hbase-2.4.13

hadoop安装

core-site.xml

<configuration><property><name>fs.defaultFS</name><value>hdfs://10.10.10.10:8020</value></property><property><name>io.file.buffer.size</name><value>131072</value></property>
</configuration>

hdfs-site.xml

  <property><name>dfs.namenode.http-address</name><value>10.10.10.10:9870</value>  </property><property><name>dfs.namenode.name.dir</name><value>file:///data/hadoop/apps/hadoop-3.3.6/data/hdfs/nn</value></property><property><name>dfs.namenode.hosts</name><value>10.10.10.10</value></property><property><name>dfs.blocksize</name><value>268435456</value> <!-- 256MB --></property><property><name>dfs.namenode.handler.count</name><value>20</value></property><property><name>dfs.datanode.data.dir</name><value>file:///data/hadoop/apps/hadoop-3.3.6/data/hdfs/dn</value></property><property><name>dfs.replication</name><value>3</value></property><property><name>dfs.permissions.enabled</name><value>true</value></property>

mapred-site.xml

  <property><name>mapreduce.framework.name</name> <value>yarn</value> </property><property> <name>mapreduce.application.classpath</name><value>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/</value></property>

yarn-site.xml

<!-- Site specific YARN configuration properties --><!-- 启用 MapReduce Shuffle 服务 --><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property><!-- NodeManager 环境变量白名单（增强版） --><property><name>yarn.nodemanager.env-whitelist</name><value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME,PYTHON_HOME,CONDA_HOME</value></property><!-- NodeManager 可用物理内存（MB） --><property><name>yarn.nodemanager.resource.memory-mb</name><value>4096</value></property><!-- NodeManager 可用虚拟 CPU 核心数 --><property><name>yarn.nodemanager.resource.cpu-vcores</name><value>4</value></property><!-- 容器最小内存 --><property><name>yarn.scheduler.minimum-allocation-mb</name><value>1024</value></property><!-- 容器最大内存 --><property><name>yarn.scheduler.maximum-allocation-mb</name><value>2048</value></property><!-- 启用日志聚合 --><property><name>yarn.log-aggregation-enable</name><value>true</value></property><property><name>yarn.log-aggregation.retain-seconds</name><value>604800</value> <!-- 7 天 --></property><!-- ResourceManager 地址（替换为你的 RM 主机） --><property><name>yarn.resourcemanager.address</name><value>10.10.10.10:8032</value></property><property><name>yarn.resourcemanager.scheduler.address</name><value>10.10.10.10:8030</value></property><property><name>yarn.resourcemanager.webapp.address</name><value>10.10.10.10:8088</value>   </property>

hadoop-env.sh

# less hadoop-env.sh  |grep -v "#" | grep -v "^$"
export JAVA_HOME=/data/hadoop/apps/jdk8
export HADOOP_HOME=/data/hadoop/apps/hadoop-3.3.6
export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop
export HADOOP_NAMENODE_OPTS="-Xms1024m -Xmx1024m -XX:+UseParallelGC -Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS"
export HADOOP_DATANODE_OPTS="-Xms1024m -Xmx1024m -Dhadoop.security.logger=ERROR,RFAS $HADOOP_DATANODE_OPTS"
export HADOOP_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_SECONDARYNAMENODE_OPTS"
export HADOOP_OS_TYPE=${HADOOP_OS_TYPE:-$(uname -s)}
export HADOOP_SSH_OPTS="-o Port=2222 -o StrictHostKeyChecking=no -o ConnectTimeout=10s"
export HADOOP_LOG_DIR=${HADOOP_HOME}/logs
export HADOOP_PID_DIR=${HADOOP_HOME}/tmp

格式化

# hdfs namenode -format
2025-08-21 14:52:09,479 INFO namenode.NameNode: STARTUP_MSG: 
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:   host = host-10-10-10-10/10.10.10.10
STARTUP_MSG:   args = [-format]
STARTUP_MSG:   version = 3.3.6
。。。
2025-08-21 14:52:12,066 INFO namenode.FSImage: Allocated new BlockPoolId: BP-314140009-10.10.10.10-1755759132057
2025-08-21 14:52:12,128 INFO common.Storage: Storage directory /data/hadoop/apps/hadoop-3.3.6/data/hdfs/nn has been successfully formatted.
2025-08-21 14:52:12,173 INFO namenode.FSImageFormatProtobuf: Saving image file /data/hadoop/apps/hadoop-3.3.6/data/hdfs/nn/current/fsimage.ckpt_0000000000000000000 using no compression
2025-08-21 14:52:12,464 INFO namenode.FSImageFormatProtobuf: Image file /data/hadoop/apps/hadoop-3.3.6/data/hdfs/nn/current/fsimage.ckpt_0000000000000000000 of size 396 bytes saved in 0 seconds .
2025-08-21 14:52:12,479 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
2025-08-21 14:52:12,541 INFO namenode.FSNamesystem: Stopping services started for active state
2025-08-21 14:52:12,541 INFO namenode.FSNamesystem: Stopping services started for standby state
2025-08-21 14:52:12,546 INFO namenode.FSImage: FSImageSaver clean checkpoint: txid=0 when meet shutdown.
2025-08-21 14:52:12,547 INFO namenode.NameNode: SHUTDOWN_MSG: 
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at host-10-10-10-10/10.10.10.10
************************************************************/

一键启动

# ./start-all.sh 
WARNING: Attempting to start all Apache Hadoop daemons as hadoop in 10 seconds.
WARNING: This is not a recommended production deployment configuration.
WARNING: Use CTRL-C to abort.
Starting namenodes on [host-10-10-10-10]
host-10-10-10-10: Warning: Permanently added '[host-10-10-10-10]:2222' (ED25519) to the list of known hosts.
hadoop@host-10-10-10-10's password: 
host-10-10-10-10: WARNING: HADOOP_NAMENODE_OPTS has been replaced by HDFS_NAMENODE_OPTS. Using value of HADOOP_NAMENODE_OPTS.
Starting datanodes
10.10.10.10: Warning: Permanently added '[10.10.10.10]:2222' (ED25519) to the list of known hosts.
hadoop@10.10.10.10's password: 
10.10.10.10: WARNING: HADOOP_DATANODE_OPTS has been replaced by HDFS_DATANODE_OPTS. Using value of HADOOP_DATANODE_OPTS.
Starting secondary namenodes [host-10-10-10-10]
hadoop@host-10-10-10-10's password: 
host-10-10-10-10: WARNING: HADOOP_SECONDARYNAMENODE_OPTS has been replaced by HDFS_SECONDARYNAMENODE_OPTS. Using value of HADOOP_SECONDARYNAMENODE_OPTS.
Starting resourcemanager
Starting nodemanagers
hadoop@10.10.10.10's password:

一直输密码还能忍，当然得陪配置免密了。

# ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa
Generating public/private rsa key pair.
Your identification has been saved in /data/hadoop/.ssh/id_rsa
Your public key has been saved in /data/hadoop/.ssh/id_rsa.pub
The key fingerprint is:
SHA256:p/G9guDQ5ab/XyyRUf4vQSpuobZPTSrb2UhdBu4A9B4 hadoop@host-10-10-10-10
The key's randomart image is:
+---[RSA 3072]----+
|        .     .  |
|       . .   o   |
|        . E o o  |
|        .o o * . |
|     . oS * * + .|
|    . o oB @ = ..|
|     o +=.B * + .|
|      o..O.+ + . |
|       .+o*o+    |
+----[SHA256]-----+
[hadoop@host-10-10-10-10 sbin]$ cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
[hadoop@host-10-10-10-10 sbin]$ chmod 700 ~/.ssh/
[hadoop@host-10-10-10-10 sbin]$ chmod 644 ~/.ssh/authorized_keys

jps查看

# jps
17424 NameNode
17568 DataNode
18721 Jps
15378 ResourceManager
17846 SecondaryNameNode
18298 NodeManager

页面查看

hdfs-site.xml的dfs.namenode.http-address配置信息

hadoop的页面

yarn-site.xml的yarn.resourcemanager.webapp.address

hbase安装

hbase-site.xml

  <property><name>hbase.rootdir</name><value>hdfs://10.10.10.10:8020/hbase</value></property><!-- 分布式模式 --><property><name>hbase.cluster.distributed</name><value>true</value></property><property><name>hbase.wal.provider</name><value>filesystem</value><!-- 可选：显式关闭 Async WAL --><!-- <value>default</value> 也可以 --></property><property><name>hbase.wal.dir</name><value>hdfs://10.10.10.10:8020/hbase-wals</value></property><!-- ZooKeeper 地址（如果使用外部 ZooKeeper） --><property><name>hbase.zookeeper.quorum</name><value>10.10.10.10</value></property><property><name>hbase.zookeeper.property.clientPort</name><value>12181</value></property><!-- 关闭 stream capability 强制检查（根据环境决定） --><property><name>hbase.unsafe.stream.capability.enforce</name><value>true</value></property>

hbase-env.sh

# less hbase-env.sh  |grep -v "#" | grep -v "^$"
export JAVA_HOME=/data/hadoop/apps/jdk8
export HBASE_HEAPSIZE=2G
export HBASE_HOME=/data/hadoop/apps/hbase
export HADOOP_HOME=/data/hadoop/apps/hadoop-3.3.6
export HBASE_SSH_OPTS="-o Port=2222 -o ConnectTimeout=1 -o SendEnv=HBASE_CONF_DIR"
export HBASE_LOG_DIR=${HBASE_HOME}/logs
export HBASE_MANAGES_ZK=false

新增hadoop配置

# 假设 Hadoop 配置在 /data/apps/hadoop-3.3.6/etc/hadoop/
# HBase 安装在 /data/apps/hbase_2.4.14/cd /data/apps/hbase_2.4.14/conf# 创建软链接
ln -s /data/apps/hadoop-3.3.6/etc/hadoop/core-site.xml core-site.xml
ln -s /data/apps/hadoop-3.3.6/etc/hadoop/hdfs-site.xml hdfs-site.xml

报错一

2025-08-21 16:47:43,112 WARN  [RS-EventLoopGroup-1-2] concurrent.DefaultPromise: An exception was thrown by org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper$4.operationComplete()
java.lang.IllegalArgumentException: object is not an instance of declaring classat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)at java.lang.reflect.Method.invoke(Method.java:498)at org.apache.hadoop.hbase.io.asyncfs.ProtobufDecoder.<init>(ProtobufDecoder.java:64)at org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper.processWriteBlockResponse(FanOutOneBlockAsyncDFSOutputHelper.java:342)at org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper.access$100(FanOutOneBlockAsyncDFSOutputHelper.java:112)at org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper$4.operationComplete(FanOutOneBlockAsyncDFSOutputHelper.java:424)at org.apache.hbase.thirdparty.io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:578)at org.apache.hbase.thirdparty.io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:552)at org.apache.hbase.thirdparty.io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:491)at org.apache.hbase.thirdparty.io.netty.util.concurrent.DefaultPromise.addListener(DefaultPromise.java:184)at org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper.initialize(FanOutOneBlockAsyncDFSOutputHelper.java:418)at org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper.access$300(FanOutOneBlockAsyncDFSOutputHelper.java:112)

问题根源分析

这个异常发生在 HBase 的 异步 WAL 写入模块（AsyncFSWAL），具体是：

  • 类：FanOutOneBlockAsyncDFSOutputHelper
  • 方法：operationComplete() 回调
  • 原因：反射调用失败，Method.invoke() 时传入的对象类型不匹配。

可能原因：

原因说明
HBase 与 Hadoop 版本不兼容最常见！HBase 使用了 Hadoop 内部类（如 DFSOutputStream），但 Hadoop 版本不同导致类结构变化，反射失败。
HBase 使用了异步 WAL（AsyncFSWAL），但 Hadoop 不支持或存在 bugAsync WAL 依赖 Netty 和 Hadoop 的底层异步写入接口，版本不匹配容易出问题。
JAR 包冲突比如 HBase 自带的 Hadoop 客户端版本与集群不一致。

 

 解决方案

✅ 方案 1：检查 HBase 与 Hadoop 版本兼容性（最重要！）

HBase 对 Hadoop 版本有严格要求。请确认：

工具版本检查命令
HBasehbase version 或 hbase --version
Hadoophadoop version
✅ 官方兼容性参考（HBase 2.4.x）：
HBase 版本推荐 Hadoop 版本
HBase 2.4.xHadoop 3.1.x - 3.3.x

🔗 参考：HBase 官方文档 - 配置 Hadoop

检查后发现

# hbase version
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/data/hadoop/apps/hbase/lib/client-facing-thirdparty/slf4j-reload4j-1.7.33.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/data/hadoop/apps/hadoop-3.3.6/share/hadoop/common/lib/slf4j-reload4j-1.7.36.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Reload4jLoggerFactory]
HBase 2.4.13
Source code repository git://buildbox/home/apurtell/tmp/RM-2.4/hbase revision=90fb1ddc1df9b345f26687d5d24cedfb19621d63
Compiled by apurtell on Wed Jun 22 20:16:39 PDT 2022
From source with checksum 1247916416d2a3239678ac2d5bda617f149d9e25cfce484d6352284cf826fc4515f06ea2f06a613a76d31aa76409bf7512d84c7380b5b4cf7cdcd67ba129f768
[hadoop@host-10-10-10-10 bin]$ 
[hadoop@host-10-10-10-10 bin]$ 
# hadoop version
Hadoop 3.3.6
Source code repository https://github.com/apache/hadoop.git -r 1be78238728da9266a4f88195058f08fd012bf9c
Compiled by ubuntu on 2023-06-18T08:22Z
Compiled on platform linux-x86_64
Compiled with protoc 3.7.1
From source with checksum 5652179ad55f76cb287d9c633bb53bbd
This command was run using /data/hadoop/apps/hadoop-3.3.6/share/hadoop/common/hadoop-common-3.3.6.jar

这就不是版本的事，继续找。

✅ 方案 2：临时禁用 Async WAL（推荐用于排查）

在 hbase-site.xml 中关闭异步 WAL 写入，改用传统的 FSWAL：

<property><name>hbase.wal.provider</name><value>filesystem</value><!-- 可选：显式关闭 Async WAL --><!-- <value>default</value> 也可以 -->
</property>

Async WAL 的值是 asyncfs，默认是 filesystem（即同步 WAL）。

✅ 这样可以绕过 FanOutOneBlockAsyncDFSOutputHelper 的问题。

新增配置，用方案二解决了。

页面

测试

 #./hbase shell
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/data/apps/hbase/lib/client-facing-thirdparty/slf4j-reload4j-1.7.33.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/data/apps/hadoop-3.3.6/share/hadoop/common/lib/slf4j-reload4j-1.7.36.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Reload4jLoggerFactory]
HBase Shell
Use "help" to get list of supported commands.
Use "exit" to quit this interactive shell.
For Reference, please visit: http://hbase.apache.org/2.0/book.html#shell
Version 2.4.13, r90fb1ddc1df9b345f26687d5d24cedfb19621d63, Wed Jun 22 20:16:39 PDT 2022
Took 0.0020 seconds                                                                                                                                         
hbase:001:0> list
TABLE                                                                                                                                                       
0 row(s)
Took 0.5458 seconds                                                                                                                                         
=> []
hbase:002:0> create 'emp','a'
Created table emp
Took 0.7416 seconds                                                                                                                                         
=> Hbase::Table - emp
hbase:003:0> describe 'emp'
Table emp is ENABLED                                                                                                                                        
emp                                                                                                                                                         
COLUMN FAMILIES DESCRIPTION                                                                                                                                 
{NAME => 'a', BLOOMFILTER => 'ROW', IN_MEMORY => 'false', VERSIONS => '1', KEEP_DELETED_CELLS => 'FALSE', DATA_BLOCK_ENCODING => 'NONE', COMPRESSION => 'NON
E', TTL => 'FOREVER', MIN_VERSIONS => '0', BLOCKCACHE => 'true', BLOCKSIZE => '65536', REPLICATION_SCOPE => '0'}                                            1 row(s)
Quota is disabled
Took 0.2157 seconds

页面查看

hdfs中查看

# hdfs dfs -ls /hbase/data/default
Found 1 items
drwxr-xr-x   - hadoop supergroup          0 2025-08-21 17:11 /hbase/data/default/emp

hdfs常用的命令

# 列出所有表
hdfs dfs -ls /hbase/data/default/# 查看某表的所有 Region
hdfs dfs -ls /hbase/data/default/<table_name>/# 查看某 Region 的列族数据
hdfs dfs -ls /hbase/data/default/<table_name>/<region_id>/<column_family>/# 查看 HFile 文件大小
hdfs dfs -du -h /hbase/data/default/my_table/# 查看某个 HFile 内容（需用 HBase 工具）
hbase org.apache.hadoop.hbase.io.hfile.HFile -v -f hdfs://10.15.32.71:9000/hbase/data/default/my_table/.../123456789.hfile# 检查 HBase 根目录是否存在
hdfs dfs -ls /hbase

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