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2024年大数据最全Hadoop 配置 Kerberos 认证_hadoop kerberos认证，2024年最新大数据开发开发两年

作者：花生_TL007 | 2024-06-13 04:42:40

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2024年大数据最全Hadoop 配置 Kerberos 认证_hadoop kerberos认证，2024年最新大数据开发开发两年

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由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、讲解视频，并且后续会持续更新

需要这份系统化资料的朋友，可以戳这里获取

    <value>50470</value>
</property>
<property>
    <name>dfs.datanode.data.dir.perm</name>
    <value>700</value>
</property>

<!-- 以下是 Kerberos 相关配置 -->
<!-- 配置 Kerberos 认证后，这个配置是必须为 true。否重 Datanode 启动会报错 -->
<property>
    <name>dfs.block.access.token.enable</name>
    <value>true</value>
</property>

<!-- NameNode security config -->
<property>
    <name>dfs.namenode.kerberos.principal</name>
    <value>nn/_HOST@EXAMPLE.COM</value>
    <description>namenode对应的kerberos账户为 nn/主机名@EXAMPLE.COM, _HOST会自动转换为主机名
    </description>
</property>
<property>
    <name>dfs.namenode.keytab.file</name>
    <!-- path to the HDFS keytab -->
    <value>/etc/security/keytabs/nn.service.keytab</value>
    <description>指定namenode用于免密登录的keytab文件</description>
</property>

<property>
    <name>dfs.namenode.kerberos.internal.spnego.principal</name>
    <value>HTTP/_HOST@EXAMPLE.COM</value>
    <description>https 相关（如开启namenodeUI）使用的账户</description>
</property>
<!--Secondary NameNode security config -->
<property>
    <name>dfs.secondary.namenode.kerberos.principal</name>
    <value>sn/_HOST@EXAMPLE.COM</value>
    <description>secondarynamenode使用的账户</description>
</property>
<property>
    <name>dfs.secondary.namenode.keytab.file</name>
    <!-- path to the HDFS keytab -->
    <value>/etc/security/keytabs/sn.service.keytab</value>
    <description>sn对应的keytab文件</description>
</property>
<property>
    <name>dfs.secondary.namenode.kerberos.internal.spnego.principal</name>
    <value>HTTP/_HOST@EXAMPLE.COM</value>
    <description>sn需要开启http页面用到的账户</description>
</property>
<!-- DataNode security config -->
<property>
    <name>dfs.datanode.kerberos.principal</name>
    <value>dn/_HOST@EXAMPLE.COM</value>
    <description>datanode用到的账户</description>
</property>
<property>
    <name>dfs.datanode.keytab.file</name>
    <!-- path to the HDFS keytab -->
    <value>/etc/security/keytabs/dn.service.keytab</value>
    <description>datanode用到的keytab文件路径</description>
</property>

<property>
    <name>dfs.web.authentication.kerberos.principal</name>
    <value>HTTP/_HOST@EXAMPLE.COM</value>
    <description>web hdfs 使用的账户</description>
</property>
<property>
    <name>dfs.web.authentication.kerberos.keytab</name>
    <value>/etc/security/keytabs/spnego.service.keytab</value>
    <description>对应的keytab文件</description>
</property>

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###### yarn-site.xml




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<?xml version="1.0"?> yarn.log.server.url https://bigdata0.example.com:19890/jobhistory/logs yarn.acl.enable false Enable ACLs? Defaults to false. yarn.admin.acl * ACL to set admins on the cluster. ACLs are of for comma-separated- usersspacecomma-separated-groups. Defaults to special value of * which means anyone. Special value of just space means no one has access. yarn.log-aggregation-enable true Configuration to enable or disable log aggregation yarn.nodemanager.remote-app-log-dir /tmp/logs Configuration to enable or disable log aggregation yarn.resourcemanager.hostname bigdata0.example.com 
<property>
    <name>yarn.resourcemanager.scheduler.class</name>
    <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>
    <description></description>
</property>

<property>
    <name>yarn.nodemanager.local-dirs</name>
    <value>/data/nm-local</value>
    <description>Comma-separated list of paths on the local filesystem where
        intermediate data is written.
    </description>
</property>
<property>
    <name>yarn.nodemanager.log-dirs</name>
    <value>/data/nm-log</value>
    <description>Comma-separated list of paths on the local filesystem where logs are
        written.
    </description>
</property>
<property>
    <name>yarn.nodemanager.log.retain-seconds</name>
    <value>10800</value>
    <description>Default time (in seconds) to retain log files on the NodeManager Only
        applicable if log-aggregation is disabled.
    </description>
</property>
<property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
    <description>Shuffle service that needs to be set for Map Reduce applications.
    </description>
</property>

  <!-- To enable SSL -->
<property>
    <name>yarn.http.policy</name>
    <value>HTTPS_ONLY</value>
</property>

<property>
    <name>yarn.nodemanager.linux-container-executor.group</name>
    <value>hadoop</value>
</property>

<!-- 这个配了可能需要在本机编译 ContainerExecutor -->
<!-- 可以用以下命令检查环境。 -->
<!-- hadoop checknative -a -->
<!-- ldd $HADOOP_HOME/bin/container-executor -->
<!-- 
<property>
    <name>yarn.nodemanager.container-executor.class</name>
    <value>org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor</value>
</property>

<property>
    <name>yarn.nodemanager.linux-container-executor.path</name>
    <value>/bigdata/hadoop-3.3.2/bin/container-executor</value>
</property>
-->

<!-- 以下是 Kerberos 相关配置 -->
<!-- ResourceManager security configs -->
<property>
    <name>yarn.resourcemanager.principal</name>
    <value>rm/_HOST@EXAMPLE.COM</value>
</property>
<property>
    <name>yarn.resourcemanager.keytab</name>
    <value>/etc/security/keytabs/rm.service.keytab</value>
</property>
<property>
    <name>yarn.resourcemanager.webapp.delegation-token-auth-filter.enabled</name>
    <value>true</value>
</property>
<!-- NodeManager security configs -->
<property>
    <name>yarn.nodemanager.principal</name>
    <value>nm/_HOST@EXAMPLE.COM</value>
</property>
<property>
    <name>yarn.nodemanager.keytab</name>
    <value>/etc/security/keytabs/nm.service.keytab</value>
</property>
<!-- TimeLine security configs -->
<property>
    <name>yarn.timeline-service.principal</name>
    <value>tl/_HOST@EXAMPLE.COM</value>
</property>
<property>
    <name>yarn.timeline-service.keytab</name>
    <value>/etc/security/keytabs/tl.service.keytab</value>
</property>
<property>
    <name>yarn.timeline-service.http-authentication.type</name>
    <value>kerberos</value>
</property>
<property>
    <name>yarn.timeline-service.http-authentication.kerberos.principal</name>
    <value>HTTP/_HOST@EXAMPLE.COM</value>
</property>
<property>
    <name>yarn.timeline-service.http-authentication.kerberos.keytab</name>
    <value>/etc/security/keytabs/spnego.service.keytab</value>
</property>

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###### mapred-site.xml




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<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> mapreduce.framework.name yarn mapreduce.jobhistory.address bigdata0.example.com:10020 mapreduce.jobhistory.webapp.address bigdata0.example.com:19888 mapreduce.jobhistory.intermediate-done-dir /mr-data/mr-history/tmp mapreduce.jobhistory.done-dir /mr-data/mr-history/done 
 <property>
   <name>mapreduce.jobhistory.http.policy</name>
   <value>HTTPS_ONLY</value>
 </property>

  <!-- 以下是 Kerberos 相关配置 -->
 <property>
   <name>mapreduce.jobhistory.keytab</name>
   <value>/etc/security/keytabs/jhs.service.keytab</value>
 </property>
 <property>
   <name>mapreduce.jobhistory.principal</name>
   <value>jhs/_HOST@EXAMPLE.COM</value>
 </property>
 <property>
   <name>mapreduce.jobhistory.webapp.spnego-principal</name>
   <value>HTTP/_HOST@EXAMPLE.COM</value>
 </property>
 <property>
   <name>mapreduce.jobhistory.webapp.spnego-keytab-file</name>
   <value>/etc/security/keytabs/spnego.service.keytab</value>
 </property>

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##### 创建https证书




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openssl req -new -x509 -keyout bd_ca_key -out bd_ca_cert -days 9999 -subj ‘/C=CN/ST=beijing/L=beijing/O=test/OU=test/CN=test’




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scp -r /etc/security/cdh.https bigdata1:/etc/security/
scp -r /etc/security/cdh.https bigdata2:/etc/security/




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[root@bigdata0 cdh.https]# openssl req -new -x509 -keyout bd_ca_key -out bd_ca_cert -days 9999 -subj ‘/C=CN/ST=beijing/L=beijing/O=test/OU=test/CN=test’
Generating a 2048 bit RSA private key
…+++
…+++
writing new private key to ‘bd_ca_key’
Enter PEM pass phrase:
Verifying - Enter PEM pass phrase:

[root@bigdata0 cdh.https]#
[root@bigdata0 cdh.https]# ll
总用量 8
-rw-r–r–. 1 root root 1298 10月 5 17:14 bd_ca_cert
-rw-r–r–. 1 root root 1834 10月 5 17:14 bd_ca_key
[root@bigdata0 cdh.https]# scp -r /etc/security/cdh.https bigdata1:/etc/security/
bd_ca_key 100% 1834 913.9KB/s 00:00
bd_ca_cert 100% 1298 1.3MB/s 00:00
[root@bigdata0 cdh.https]# scp -r /etc/security/cdh.https bigdata2:/etc/security/
bd_ca_key 100% 1834 1.7MB/s 00:00
bd_ca_cert 100% 1298 1.3MB/s 00:00
[root@bigdata0 cdh.https]#


在三个节点依次执行




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cd /etc/security/cdh.https

所有需要输入密码的地方全部输入123456（方便起见，如果你对密码有要求请自行修改）

1 输入密码和确认密码：123456，此命令成功后输出keystore文件

keytool -keystore keystore -alias localhost -validity 9999 -genkey -keyalg RSA -keysize 2048 -dname “CN=test, OU=test, O=test, L=beijing, ST=beijing, C=CN”

2 输入密码和确认密码：123456，提示是否信任证书：输入yes，此命令成功后输出truststore文件

keytool -keystore truststore -alias CARoot -import -file bd_ca_cert

3 输入密码和确认密码：123456，此命令成功后输出cert文件

keytool -certreq -alias localhost -keystore keystore -file cert

4 此命令成功后输出cert_signed文件

openssl x509 -req -CA bd_ca_cert -CAkey bd_ca_key -in cert -out cert_signed -days 9999 -CAcreateserial -passin pass:123456

5 输入密码和确认密码：123456，是否信任证书，输入yes，此命令成功后更新keystore文件

keytool -keystore keystore -alias CARoot -import -file bd_ca_cert

6 输入密码和确认密码：123456

keytool -keystore keystore -alias localhost -import -file cert_signed

最终得到:
-rw-r–r-- 1 root root 1294 Sep 26 11:31 bd_ca_cert
-rw-r–r-- 1 root root 17 Sep 26 11:36 bd_ca_cert.srl
-rw-r–r-- 1 root root 1834 Sep 26 11:31 bd_ca_key
-rw-r–r-- 1 root root 1081 Sep 26 11:36 cert
-rw-r–r-- 1 root root 1176 Sep 26 11:36 cert_signed
-rw-r–r-- 1 root root 4055 Sep 26 11:37 keystore
-rw-r–r-- 1 root root 978 Sep 26 11:35 truststore


配置ssl-server.xml和ssl-client.xml


ssl-sserver.xml




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ssl.server.truststore.location /etc/security/cdh.https/truststore Truststore to be used by NN and DN. Must be specified. 
<property>
    <name>ssl.server.truststore.password</name>
    <value>123456</value>
    <description>Optional. Default value is "".
    </description>
</property>

<property>
    <name>ssl.server.truststore.type</name>
    <value>jks</value>
    <description>Optional. The keystore file format, default value is "jks".
    </description>
</property>

<property>
    <name>ssl.server.truststore.reload.interval</name>
    <value>10000</value>
    <description>Truststore reload check interval, in milliseconds.
    Default value is 10000 (10 seconds).
    </description>
</property>

<property>
    <name>ssl.server.keystore.location</name>
    <value>/etc/security/cdh.https/keystore</value>
    <description>Keystore to be used by NN and DN. Must be specified.
    </description>
</property>

<property>
    <name>ssl.server.keystore.password</name>
    <value>123456</value>
    <description>Must be specified.
    </description>
</property>

<property>
    <name>ssl.server.keystore.keypassword</name>
    <value>123456</value>
    <description>Must be specified.
    </description>
</property>

<property>
    <name>ssl.server.keystore.type</name>
    <value>jks</value>
    <description>Optional. The keystore file format, default value is "jks".
    </description>
</property>

<property>
    <name>ssl.server.exclude.cipher.list</name>
    <value>TLS_EE_RSA_WITH_RC4_128_SHA,SSL_DHE_RSA_EXPORT_WITH_DES40_CBC_SHA,
    SSL_RSA_WITH_DES_CBC_SHA,SSL_DHE_RSA_WITH_DES_CBC_SHA,
    SSL_RSA_EXPORT_WITH_RC4_40_MD5,SSL_RSA_EXPORT_WITH_DES40_CBC_SHA,
    SSL_RSA_WITH_RC4_128_MD5</value>
    <description>Optional. The weak security cipher suites that you want excluded
    from SSL communication.</description>
</property>

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ssl-client.xml




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ssl.client.truststore.location /etc/security/cdh.https/truststore Truststore to be used by clients like distcp. Must be specified. 
<property>
    <name>ssl.client.truststore.password</name>
    <value>123456</value>
    <description>Optional. Default value is "".
    </description>
</property>

<property>
    <name>ssl.client.truststore.type</name>
    <value>jks</value>
    <description>Optional. The keystore file format, default value is "jks".
    </description>
</property>

<property>
    <name>ssl.client.truststore.reload.interval</name>
    <value>10000</value>
    <description>Truststore reload check interval, in milliseconds.
    Default value is 10000 (10 seconds).
    </description>
</property>

<property>
    <name>ssl.client.keystore.location</name>
    <value>/etc/security/cdh.https/keystore</value>
    <description>Keystore to be used by clients like distcp. Must be
    specified.
    </description>
</property>

<property>
    <name>ssl.client.keystore.password</name>
    <value>123456</value>
    <description>Optional. Default value is "".
    </description>
</property>

<property>
    <name>ssl.client.keystore.keypassword</name>
    <value>123456</value>
    <description>Optional. Default value is "".
    </description>
</property>

<property>
    <name>ssl.client.keystore.type</name>
    <value>jks</value>
    <description>Optional. The keystore file format, default value is "jks".
    </description>
</property>

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分发配置




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scp $HADOOP_HOME/etc/hadoop/* bigdata1:/bigdata/hadoop-3.3.2/etc/hadoop/
scp $HADOOP_HOME/etc/hadoop/* bigdata2:/bigdata/hadoop-3.3.2/etc/hadoop/


### 4、启动服务


ps：初始化 namenode 后可以直接 sbin/start-all.sh


### 5、一些错误：


#### 5.1 Kerberos 相关错误


##### 连不上 realm


Cannot contact any KDC for realm


一般是网络不通


1、可能是没关闭防火墙：




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[root@bigdata0 bigdata]# kinit krbtest/admin@EXAMPLE.COM
kinit: Cannot contact any KDC for realm ‘EXAMPLE.COM’ while getting initial credentials
[root@bigdata0 bigdata]#
[root@bigdata0 bigdata]#
[root@bigdata0 bigdata]# systemctl stop firewalld.service
[root@bigdata0 bigdata]# systemctl disable firewalld.service
Removed symlink /etc/systemd/system/multi-user.target.wants/firewalld.service.
Removed symlink /etc/systemd/system/dbus-org.fedoraproject.FirewallD1.service.
[root@bigdata0 bigdata]# kinit krbtest/admin@EXAMPLE.COM
Password for krbtest/admin@EXAMPLE.COM:
[root@bigdata0 bigdata]#
[root@bigdata0 bigdata]#
[root@bigdata0 bigdata]#
[root@bigdata0 bigdata]#
[root@bigdata0 bigdata]# klist
Ticket cache: FILE:/tmp/krb5cc_0
Default principal: krbtest/admin@EXAMPLE.COM

Valid starting Expires Service principal
2023-10-05T16:19:58 2023-10-06T16:19:58 krbtgt/EXAMPLE.COM@EXAMPLE.COM
[root@bigdata0 bigdata]#


2、可能是 没有在 hosts 中配置 kdc


编辑 /etc/hosts 添加 kdc 和对应 ip 的映射




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{kdc ip} {kdc}

192.168.50.10 bigdata3.example.com


<https://serverfault.com/questions/612869/kinit-cannot-contact-any-kdc-for-realm-ubuntu-while-getting-initial-credentia>  
 ![在这里插入图片描述](https://img-blog.csdnimg.cn/39e68b3e82f04df9ab13d6c4294fb049.png)


##### kinit 命令找错依赖


kinit: relocation error: kinit: symbol krb5\_get\_init\_creds\_opt\_set\_pac\_request, version krb5\_3\_MIT not defined in file libkrb5.so.3 with link time reference


用 ldd  
 
 
 
 
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 发现指向了非 
 
 
 / 
 
 
 l 
 
 
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 b 
 
 
 64 
 
 
 下面的 
 
 
 l 
 
 
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 b 
 
 
 k 
 
 
 r 
 
 
 b 
 
 
 5. 
 
 
 s 
 
 
 o 
 
 
 . 
 
 
 3 
 
 
 依赖。执行 
 
 
 e 
 
 
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 Y 
 
 
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 = 
 
 
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 64 
 
 
 : 
 
 
 
 (which kinit) 发现指向了非 /lib64 下面的 libkrb5.so.3 依赖。执行 export LD\_LIBRARY\_PATH=/lib64: 
 
 
 (whichkinit)发现指向了非/lib64下面的libkrb5.so.3依赖。执行exportLDL​IBRARYP​ATH=/lib64:{LD\_LIBRARY\_PATH} 即可。


<https://community.broadcom.com/communities/community-home/digestviewer/viewthread?MID=797304#:~:text=To%20solve%20this%20error%2C%20the%20only%20workaround%20found,to%20use%20system%20libraries%20%24%20export%20LD_LIBRARY_PATH%3D%2Flib64%3A%24%20%7BLD_LIBRARY_PATH%7D>




---


##### ccache id 非法


kinit: Invalid Uid in persistent keyring name while getting default ccache


修改 /etc/krb5.conf 中的 default\_ccache\_name 值。


<https://unix.stackexchange.com/questions/712857/kinit-invalid-uid-in-persistent-keyring-name-while-getting-default-ccache-while#:~:text=If%20running%20unset%20KRB5CCNAME%20did%20not%20resolve%20it%2C,of%20%22default_ccache_name%22%20in%20%2Fetc%2Fkrb5.conf%20to%20a%20local%20file%3A>


##### KrbException: Message stream modified (41)


据说和 jre 版本有关系，删除 krb5.conf 配置文件里的 `renew_lifetime = xxx` 即可。


#### 5.2 Hadoop 相关错误


哪个节点的哪个服务有错误，可以在对应日志（或manager日志）中查看是否有异常信息。比如一些 so 文件找不到，不上即可。


hdfs web 上报错 Failed to obtain user group information: java.io.IOException: Security enabled but user not authenticated by filter


![在这里插入图片描述](https://img-blog.csdnimg.cn/e75aedbd9fe044988532931acf663444.png)<https://issues.apache.org/jira/browse/HDFS-16441>


### 6 提交 Spark on yarn


1、直接提交：  
 命令：




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bin/spark-submit \
–master yarn
–deploy-mode cluster
–class org.apache.spark.examples.SparkPi
examples/jars/spark-examples_2.12-3.3.0.jar




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[root@bigdata3 spark-3.3.0-bin-hadoop3]# bin/spark-submit --master yarn --deploy-mode cluster --class org.apache.spark.examples.SparkPi examples/jars/spark-examples\_2.12-3.3.0.jar
23/10/12 13:53:05 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
23/10/12 13:53:05 INFO DefaultNoHARMFailoverProxyProvider: Connecting to ResourceManager at bigdata0.example.com/192.168.50.7:8032
23/10/12 13:53:06 WARN Client: Exception encountered while connecting to the server
org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]
        at org.apache.hadoop.security.SaslRpcClient.selectSaslClient(SaslRpcClient.java:179)
        at org.apache.hadoop.security.SaslRpcClient.saslConnect(SaslRpcClient.java:392)
        at org.apache.hadoop.ipc.Client$Connection.setupSaslConnection(Client.java:623)
        at org.apache.hadoop.ipc.Client$Connection.access$2300(Client.java:414)
        at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:843)
        at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:839)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1878)
        at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:839)
        at org.apache.hadoop.ipc.Client$Connection.access$3800(Client.java:414)
        at org.apache.hadoop.ipc.Client.getConnection(Client.java:1677)
        at org.apache.hadoop.ipc.Client.call(Client.java:1502)
        at org.apache.hadoop.ipc.Client.call(Client.java:1455)
        at org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:242)
        at org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:129)
        at com.sun.proxy.$Proxy24.getNewApplication(Unknown Source)
        at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.getNewApplication(ApplicationClientProtocolPBClientImpl.java:286)
        at 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.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
        at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
        at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
        at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
        at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
        at com.sun.proxy.$Proxy25.getNewApplication(Unknown Source)
        at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.getNewApplication(YarnClientImpl.java:284)
        at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.createApplication(YarnClientImpl.java:292)
        at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:200)
        at org.apache.spark.deploy.yarn.Client.run(Client.scala:1327)
        at org.apache.spark.deploy.yarn.YarnClusterApplication.start(Client.scala:1764)
        at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:958)
        at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
        at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
        at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
        at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1046)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1055)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Exception in thread "main" java.io.IOException: DestHost:destPort bigdata0.example.com:8032 , LocalHost:localPort bigdata3.example.com/192.168.50.10:0. Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
        at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:913)
        at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:888)
        at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1616)
        at org.apache.hadoop.ipc.Client.call(Client.java:1558)
        at org.apache.hadoop.ipc.Client.call(Client.java:1455)
        at org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:242)
        at org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:129)
        at com.sun.proxy.$Proxy24.getNewApplication(Unknown Source)
        at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.getNewApplication(ApplicationClientProtocolPBClientImpl.java:286)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
        at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
        at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
        at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
        at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
        at com.sun.proxy.$Proxy25.getNewApplication(Unknown Source)
        at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.getNewApplication(YarnClientImpl.java:284)
        at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.createApplication(YarnClientImpl.java:292)
        at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:200)
        at org.apache.spark.deploy.yarn.Client.run(Client.scala:1327)
        at org.apache.spark.deploy.yarn.YarnClusterApplication.start(Client.scala:1764)
        at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:958)
        at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
        at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
        at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
        at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1046)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1055)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]
        at org.apache.hadoop.ipc.Client$Connection$1.run(Client.java:798)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1878)
        at org.apache.hadoop.ipc.Client$Connection.handleSaslConnectionFailure(Client.java:752)
        at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:856)
        at org.apache.hadoop.ipc.Client$Connection.access$3800(Client.java:414)
        at org.apache.hadoop.ipc.Client.getConnection(Client.java:1677)
        at org.apache.hadoop.ipc.Client.call(Client.java:1502)
        ... 27 more
Caused by: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]
        at org.apache.hadoop.security.SaslRpcClient.selectSaslClient(SaslRpcClient.java:179)
        at org.apache.hadoop.security.SaslRpcClient.saslConnect(SaslRpcClient.java:392)
        at org.apache.hadoop.ipc.Client$Connection.setupSaslConnection(Client.java:623)
        at org.apache.hadoop.ipc.Client$Connection.access$2300(Client.java:414)
        at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:843)
        at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:839)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1878)
        at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:839)
        ... 30 more
23/10/12 13:53:06 INFO ShutdownHookManager: Shutdown hook called
23/10/12 13:53:06 INFO ShutdownHookManager: Deleting directory /tmp/spark-b9b19f53-4839-4cf0-82d0-065f4956f830

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2、添加 spark.kerberos.keytab 与 spark.kerberos.principal 参数提交。  
 在提交的机器上添加 Kerberos 账户提交




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[root@bigdata3 spark-3.3.0-bin-hadoop3]# kadmin.local
Authenticating as principal root/admin@EXAMPLE.COM with password.
kadmin.local:
kadmin.local:  addprinc -randkey nn/bigdata3.example.com@EXAMPLE.COM
WARNING: no policy specified for nn/bigdata3.example.com@EXAMPLE.COM; defaulting to no policy
Principal "nn/bigdata3.example.com@EXAMPLE.COM" created.
kadmin.local:  ktadd -k /etc/security/keytabs/nn.service.keytab nn/bigdata3.example.com@EXAMPLE.COM

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提交命令：




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bin/spark-submit \
–master yarn
–deploy-mode cluster
–conf spark.kerberos.keytab=/etc/security/keytabs/nn.service.keytab
–conf spark.kerberos.principal=nn/bigdata3.example.com@EXAMPLE.COM
–class org.apache.spark.examples.SparkPi
examples/jars/spark-examples_2.12-3.3.0.jar


结果：




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[root@bigdata3 spark-3.3.0-bin-hadoop3]# bin/spark-submit --master yarn --deploy-mode cluster --conf spark.kerberos.keytab=/etc/security/keytabs/nn.service.keytab --conf spark.kerberos.principal=nn/bigdata3.example.com@EXAMPLE.COM --class org.apache.spark.examples.SparkPi examples/jars/spark-examples\_2.12-3.3.0.jar
23/10/12 13:53:30 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
23/10/12 13:53:31 INFO Client: Kerberos credentials: principal = nn/bigdata3.example.com@EXAMPLE.COM, keytab = /etc/security/keytabs/nn.service.keytab
23/10/12 13:53:31 INFO DefaultNoHARMFailoverProxyProvider: Connecting to ResourceManager at bigdata0.example.com/192.168.50.7:8032
23/10/12 13:53:32 INFO Configuration: resource-types.xml not found
23/10/12 13:53:32 INFO ResourceUtils: Unable to find 'resource-types.xml'.
23/10/12 13:53:32 INFO Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
23/10/12 13:53:32 INFO Client: Will allocate AM container, with 1408 MB memory including 384 MB overhead
23/10/12 13:53:32 INFO Client: Setting up container launch context for our AM
23/10/12 13:53:32 INFO Client: Setting up the launch environment for our AM container
23/10/12 13:53:32 INFO Client: Preparing resources for our AM container
23/10/12 13:53:32 INFO Client: To enable the AM to login from keytab, credentials are being copied over to the AM via the YARN Secure Distributed Cache.
23/10/12 13:53:32 INFO Client: Uploading resource file:/etc/security/keytabs/nn.service.keytab -> hdfs://bigdata0.example.com:8020/user/hdfs/.sparkStaging/application_1697089814250_0001/nn.service.keytab
23/10/12 13:53:34 WARN Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.
23/10/12 13:53:44 INFO Client: Uploading resource file:/tmp/spark-83cea039-6e72-4958-b097-4537a008e792/__spark_libs__1911433509069709237.zip -> hdfs://bigdata0.example.com:8020/user/hdfs/.sparkStaging/application_1697089814250_0001/__spark_libs__1911433509069709237.zip
23/10/12 13:54:16 INFO Client: Uploading resource file:/bigdata/spark-3.3.0-bin-hadoop3/examples/jars/spark-examples_2.12-3.3.0.jar -> hdfs://bigdata0.example.com:8020/user/hdfs/.sparkStaging/application_1697089814250_0001/spark-examples_2.12-3.3.0.jar
23/10/12 13:54:16 INFO Client: Uploading resource file:/tmp/spark-83cea039-6e72-4958-b097-4537a008e792/__spark_conf__8266642042189366964.zip -> hdfs://bigdata0.example.com:8020/user/hdfs/.sparkStaging/application_1697089814250_0001/__spark_conf__.zip
23/10/12 13:54:17 INFO SecurityManager: Changing view acls to: root,hdfs
23/10/12 13:54:17 INFO SecurityManager: Changing modify acls to: root,hdfs
23/10/12 13:54:17 INFO SecurityManager: Changing view acls groups to:
23/10/12 13:54:17 INFO SecurityManager: Changing modify acls groups to:
23/10/12 13:54:17 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(root, hdfs); groups with view permissions: Set(); users  with modify permissions: Set(root, hdfs); groups with modify permissions: Set()
23/10/12 13:54:17 INFO HadoopDelegationTokenManager: Attempting to login to KDC using principal: nn/bigdata3.example.com@EXAMPLE.COM
23/10/12 13:54:17 INFO HadoopDelegationTokenManager: Successfully logged into KDC.
23/10/12 13:54:17 INFO HiveConf: Found configuration file null
23/10/12 13:54:17 INFO HadoopFSDelegationTokenProvider: getting token for: DFS[DFSClient[clientName=DFSClient_NONMAPREDUCE_1847188333_1, ugi=nn/bigdata3.example.com@EXAMPLE.COM (auth:KERBEROS)]] with renewer rm/bigdata0.example.com@EXAMPLE.COM
23/10/12 13:54:17 INFO DFSClient: Created token for hdfs: HDFS_DELEGATION_TOKEN owner=nn/bigdata3.example.com@EXAMPLE.COM, renewer=yarn, realUser=, issueDate=1697090057412, maxDate=1697694857412, sequenceNumber=7, masterKeyId=8 on 192.168.50.7:8020
23/10/12 13:54:17 INFO HadoopFSDelegationTokenProvider: getting token for: DFS[DFSClient[clientName=DFSClient_NONMAPREDUCE_1847188333_1, ugi=nn/bigdata3.example.com@EXAMPLE.COM (auth:KERBEROS)]] with renewer nn/bigdata3.example.com@EXAMPLE.COM
23/10/12 13:54:17 INFO DFSClient: Created token for hdfs: HDFS_DELEGATION_TOKEN owner=nn/bigdata3.example.com@EXAMPLE.COM, renewer=hdfs, realUser=, issueDate=1697090057438, maxDate=1697694857438, sequenceNumber=8, masterKeyId=8 on 192.168.50.7:8020
23/10/12 13:54:17 INFO HadoopFSDelegationTokenProvider: Renewal interval is 86400032 for token HDFS_DELEGATION_TOKEN
23/10/12 13:54:19 INFO Client: Submitting application application_1697089814250_0001 to ResourceManager
23/10/12 13:54:21 INFO YarnClientImpl: Submitted application application_1697089814250_0001
23/10/12 13:54:22 INFO Client: Application report for application_1697089814250_0001 (state: ACCEPTED)
23/10/12 13:54:22 INFO Client:
         client token: Token { kind: YARN_CLIENT_TOKEN, service:  }
         diagnostics: N/A
         ApplicationMaster host: N/A
         ApplicationMaster RPC port: -1
         queue: root.hdfs
         start time: 1697090060093
         final status: UNDEFINED
         tracking URL: https://bigdata0.example.com:8090/proxy/application_1697089814250_0001/
         user: hdfs
23/10/12 13:54:23 INFO Client: Application report for application_1697089814250_0001 (state: ACCEPTED)
23/10/12 13:54:24 INFO Client: Application report for application_1697089814250_0001 (state: ACCEPTED)
23/10/12 13:54:25 INFO Client: Application report for application_1697089814250_0001 (state: ACCEPTED)

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img
img
img

既有适合小白学习的零基础资料，也有适合3年以上经验的小伙伴深入学习提升的进阶课程，涵盖了95%以上大数据知识点，真正体系化！

由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、讲解视频，并且后续会持续更新

需要这份系统化资料的朋友，可以戳这里获取

ken { kind: YARN_CLIENT_TOKEN, service: }
diagnostics: N/A
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: root.hdfs
start time: 1697090060093
final status: UNDEFINED
tracking URL: https://bigdata0.example.com:8090/proxy/application_1697089814250_0001/
user: hdfs
23/10/12 13:54:23 INFO Client: Application report for application_1697089814250_0001 (state: ACCEPTED)
23/10/12 13:54:24 INFO Client: Application report for application_1697089814250_0001 (state: ACCEPTED)
23/10/12 13:54:25 INFO Client: Application report for application_1697089814250_0001 (state: ACCEPTED)

[外链图片转存中…(img-sdzb1cTc-1715241074909)]
[外链图片转存中…(img-QtSIkFUG-1715241074909)]
[外链图片转存中…(img-kkl9IqAr-1715241074909)]

既有适合小白学习的零基础资料，也有适合3年以上经验的小伙伴深入学习提升的进阶课程，涵盖了95%以上大数据知识点，真正体系化！

由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、讲解视频，并且后续会持续更新

需要这份系统化资料的朋友，可以戳这里获取

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