Spark扫描kerberos hbase环境配置

2019年6月9日 192次阅读 来源: 阿甘骑士
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

  • 安装完成之后能看到这个玩意

    《Spark扫描kerberos hbase环境配置》 spark2.png

  • spark集成kerberos

    《Spark扫描kerberos hbase环境配置》 spark集成kerberos.png

  • 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=”《Spark扫描kerberos hbase环境配置》(paste -sd: “/etc/extra-lib/hbase/classpath.txt”)”

《Spark扫描kerberos hbase环境配置》 spark2_server.png

《Spark扫描kerberos hbase环境配置》 spark2_client.png

  • 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

    《Spark扫描kerberos hbase环境配置》 客户端配置_hbase.png

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

    《Spark扫描kerberos hbase环境配置》 hbase_site.png

yarn-conf里面也需要有该xml

  • 拷贝到其他节点

    《Spark扫描kerberos hbase环境配置》 拷贝8.png

  • 到这里大功告成！

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/node1@W.COM
[root@node1 ~]# klist
Ticket cache: FILE:/tmp/krb5cc_0
Default principal: hbase/node1@W.COM

Valid starting     Expires            Service principal
06/13/18 21:20:03  06/14/18 21:20:03  krbtgt/W.COM@W.COM
        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> list
TABLE                                                                                                                           
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_yb
Password for deng_yb@W.COM: 
[root@node1 ~]# klist
Ticket cache: FILE:/tmp/krb5cc_0
Default principal: deng_yb@W.COM

Valid starting     Expires            Service principal
06/13/18 21:24:18  06/14/18 21:24:18  krbtgt/W.COM@W.COM
        renew until 06/20/18 21:24:18
  • 查看hbase权限下的表
hbase(main):001:0> list
TABLE                                                                                                                           
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

    《Spark扫描kerberos hbase环境配置》 am_log.png

  • AM日志没问题，再去看executors日志

    《Spark扫描kerberos hbase环境配置》 executor_1.png
    《Spark扫描kerberos hbase环境配置》 executor_2.png

  • 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

    《Spark扫描kerberos hbase环境配置》 异常.png

    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

《Spark扫描kerberos hbase环境配置》 spark_必备hbase包.png

  • 连接hbase一直报超时

    《Spark扫描kerberos hbase环境配置》 链接hbase超时.png

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

    原文作者：阿甘骑士
    原文地址: https://www.jianshu.com/p/68ca2a80acb5
    本文转自网络文章，转载此文章仅为分享知识，如有侵权，请联系博主进行删除。
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