小知识|Spark扫描Kerberos hbase环境配置

Posted 2021-04-18 大数据技术与架构

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集成kerberos后，很多使用服务的程序代码需要改写，例如java通过jdbc链接impala、java扫描hbase表、java的kafka客户端...除了 spark程序以外。

下面介绍下集成kerberos后，要做什么准备才能让spark程序正常跑起来

在实施方案前，假设读者已经基本熟悉以下技术  (不细说)

• 熟悉spark程序，spark-submit脚本
• cdh集成kerberos没有问题
• hbase没问题
• 这里不提供spark读hbase代码

方案实施

• cdh集成spark2，安装完成之后能看到这个玩意：

• spark集成kerberos

• 重启spark2并部署客户端

• 添加软链接

[root@node1 spark2]# vi /etc/extra-lib/hbase/classpath.txt/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/htrace-core-3.0.4.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/htrace-core-3.2.0-incubating.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/htrace-core4-4.0.1-incubating.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/commons-pool2-2.4.3.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/jedis-2.9.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/druid-1.1.6.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-annotations-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-annotations-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-client-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-client.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-common-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-common-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-examples-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-examples.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-external-blockcache-1.2.0-cdh5.11.0.jar"/etc/extra-lib/hbase/classpath.txt" 41L, 3584C/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/htrace-core-3.0.4.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/htrace-core-3.2.0-incubating.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/htrace-core4-4.0.1-incubating.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/commons-pool2-2.4.3.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/jedis-2.9.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/jars/druid-1.1.6.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-annotations-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-annotations-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-client-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-client.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-common-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-common-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-examples-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-examples.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-external-blockcache-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-external-blockcache.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-hadoop2-compat-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-hadoop2-compat-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-hadoop-compat-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-hadoop-compat-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-it-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-it-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-prefix-tree-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-procedure-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-protocol-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-resource-bundle-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-rest-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-rsgroup-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-rsgroup-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-server-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-server-1.2.0-cdh5.11.0-tests.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-shell-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-spark-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH-5.11.0-1.cdh5.11.0.p0.34/lib/hbase/hbase-thrift-1.2.0-cdh5.11.0.jar/opt/cloudera/parcels/CDH/jars/ojdbc6.jar/etc/extra-lib/hbase/spring/spring-beans-5.0.2.RELEASE.jar/etc/extra-lib/hbase/spring/spring-core-5.0.2.RELEASE.jar/etc/extra-lib/hbase/spring/spring-expression-5.0.2.RELEASE.jar/etc/extra-lib/hbase/spring/spring-jcl-5.0.2.RELEASE.jar:wq#每个节点都要有scp /etc/extra-lib/hbase/classpath.txt root@bi-slave1:/etc/extra-lib/hbase/...

修改Spark2在CM内的配置：
“spark2-conf/spark-env.sh 的 Spark 2 服务高级配置代码段（安全阀）”
“spark2-conf/spark-env.sh 的 Spark 2 客户端高级配置代码段（安全阀）”
在以上两个配置框内加入：
export SPARK_DIST_CLASSPATH="SPARKDISTCLASSPATH(paste -sd: "/etc/extra-lib/hbase/classpath.txt")"

• 重启spark，并部署客户端

• 添加hbase_site.xml到$SPARK_HOME/conf

• 下载客户端代码

  
  

  

  
  

• 解压获得hbase_site.xml文件, 并添加到$SPARK_HOME/conf里面

  
  

  

yarn-conf里面也需要有该xml

• 拷贝到其他节点

spark测试

• 因为写的spark程序需要读取hbase的表，先给用户赋权限，这里以deng_yb账号为例子

• 用hbase账号登录hbase shell

[root@node1 ~]# kinit -kt /opt/cm-5.11.0/run/cloudera-scm-agent/process/1247-hbase-HBASERESTSERVER/hbase.keytab hbase/[e-mail][root@node1 ~]# klistTicket cache: FILE:/tmp/krb5cc_0Default principal: hbase/[e-mail]
Valid starting Expires Service principal06/13/18 21:20:03 06/14/18 21:20:03 krbtgt/[e-mail] renew until 06/18/18 21:20:03[root@node1 ~]# hbase shell.....

• 为deng_yb账号赋权

• 这里赋权U:DAY_ORG_CMP_OSI和U:DAY_ORG_PRO_CATE_SPARK读写

hbase(main):001:0> listTABLE U:DAY_ORG_CMP_OSI U:DAY_ORG_PRO_CATE_SPARK test test_user user_info 5 row(s) in 0.5330 seconds
=> ["U:DAY_ORG_CMP_OSI", "U:DAY_ORG_PRO_CATE_SPARK", "test", "test_user", "user_info"]hbase(main):002:0> grant 'deng_yb','RW','U:DAY_ORG_CMP_OSI'0 row(s) in 0.6180 seconds
hbase(main):003:0> grant 'deng_yb','RW','U:DAY_ORG_PRO_CATE_SPARK'0 row(s) in 0.1320 seconds

• 登录deng_yb账号

[root@node1 ~]# kinit deng_ybPassword for [e-mail]: [root@node1 ~]# klistTicket cache: FILE:/tmp/krb5cc_0Default principal: [e-mail]
Valid starting Expires Service principal06/13/18 21:24:18 06/14/18 21:24:18 krbtgt/[e-mail] renew until 06/20/18 21:24:18

• 查看hbase权限下的表

hbase(main):001:0> listTABLE U:DAY_ORG_CMP_OSI U:DAY_ORG_PRO_CATE_SPARK 2 row(s) in 0.5380 seconds
=> ["U:DAY_ORG_CMP_OSI", "U:DAY_ORG_PRO_CATE_SPARK"]hbase(main):002:0>#赋权成功

• 执行spark程序 （执行的账号必须能够访问hive元数据）

 spark2-submit --master yarn --deploy-mode cluster --executor-memory 4G --total-executor-cores 4 --driver-memory 4g --class com.W.Main /usr/local/W/bi-bdap-0.1.0-SNAPSHOT.jar

• 执行完之后，记得去查看AM日志

• AM日志没问题，再去看executors日志

  
  

  

  到这里，假如日志没显示异常代表spark运行成功

问题解惑

• 部分开发遇到认证失败

  
  

  

这种情况一般是因为$SPARK_CLASSPATH里面没有hbase的包
以下几个jar是必须要有的

• 连接hbase一直报超时

  
  

  

这种情况下一般是因为$SPARK_HOME/conf下缺少hbase_site.xml文件。

• 结论

• spark在集群环境跑，必须要满足
  1).sparkclassath 必须包含hbase相关jar

• SPARK_HOME/conf必须要有hbase_site.xml或者程序Configuration必须

版权声明：

本文为大数据技术与架构整理，原作者独家授权。未经原作者允许转载追究侵权责任。

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