这是一篇总结的文章,主要介绍 Hadoop 集群快速部署权限的步骤以及一些注意事项。如果你想了解详细的过程,请参考本博客中其他的文章。
1. 开始之前
hadoop 集群一共有三个节点,每个节点的 ip、hostname、角色如下:
192.168.56.121 cdh1 NameNode、kerberos-server、ldap-server、sentry-store192.168.56.122 cdh2 DataNode、yarn、hive、impala192.168.56.123 cdh3 DataNode、yarn、hive、impala
一些注意事项:
- 操作系统为 CentOs6.2
- Hadoop 版本为 CDH5.2
- hostname 请使用小写,因为 kerberos 中区分大小写,而 hadoop 中会使用 hostname 的小写替换
_HOST,impala 直接使用 hostname 替换_HOST。 - 开始之前,请确认 hadoop 集群部署安装成功,不管是否配置 HA,请规划好每个节点的角色。我这里为了简单,以三个节点的集群为例做说明,你可以参考本文并结合你的实际情况做调整。
- 请确认防火墙关闭,以及集群内和 kerberos 以及 ldap 服务器保持时钟同步。
- cdh1 为管理节点,故需要做好 cdh1 到集群所有节点的无密码登陆,包括其本身。
集群中每个节点的 hosts 如下:
$ cat /etc/hosts127.0.0.1 localhost192.168.56.121 cdh1192.168.56.122 cdh2192.168.56.123 cdh3
为了方便管理集群,使用 cdh1 作为管理节点,并在 /opt/shell 目录编写了几脚本,/opt/shell/cmd.sh 用于批量执行命令:
$ cat /opt/shell/cmd.sh#!/bin/shfor node in 121 122 123;doecho "==============="192.168.56.$node"==============="ssh 192.168.56.$node $1done
/opt/shell/cmd.sh 用于批量执行命令:
$ cat /opt/shell/syn.sh#!/bin/shfor node in 121 122 123;doecho "==============="192.168.56.$node"==============="scp -r $1 192.168.56.$node:$2done
/opt/shell/cluster.sh 用于批量维护集群各个服务:
$ cat /opt/shell/cluster.sh#!/bin/shfor node in 121 122 123;doecho "==============="192.168.56.$node"==============="ssh 192.168.56.$node 'for src in `ls /etc/init.d|grep '$1'`;do service $src '$2'; done'done
2. 安装 kerberos
在 cdh1 节点修改 /etc/krb5.conf 如下:
[logging]default = FILE:/var/log/krb5libs.logkdc = FILE:/var/log/krb5kdc.logadmin_server = FILE:/var/log/kadmind.log[libdefaults]default_realm = JAVACHEN.COMdns_lookup_realm = falsedns_lookup_kdc = falseticket_lifetime = 24hrenew_lifetime = 7dforwardable = truedefault_tgs_enctypes = aes256-cts-hmac-sha1-96default_tkt_enctypes = aes256-cts-hmac-sha1-96permitted_enctypes = aes256-cts-hmac-sha1-96clockskew = 120udp_preference_limit = 1[realms]JAVACHEN.COM = {kdc = cdh1admin_server = cdh1}[domain_realm].javachen.space = JAVACHEN.COMjavachen.space = JAVACHEN.COM
修改 /var/kerberos/krb5kdc/kdc.conf 如下:
[kdcdefaults]kdc_ports = 88kdc_tcp_ports = 88[realms]JAVACHEN.COM = {#master_key_type = aes256-ctsacl_file = /var/kerberos/krb5kdc/kadm5.acldict_file = /usr/share/dict/wordsmax_renewable_life = 7dmax_life = 1dadmin_keytab = /var/kerberos/krb5kdc/kadm5.keytabsupported_enctypes = aes256-cts:normal aes128-cts:normal des3-hmac-sha1:normal arcfour-hmac:normal des-hmac-sha1:normal des-cbc-md5:normal des-cbc-crc:normaldefault_principal_flags = +renewable, +forwardable}
修改 /var/kerberos/krb5kdc/kadm5.acl 如下:
*/admin@JAVACHEN.COM *
将 cdh1 上的 /etc/krb5.conf 同步到集群各个节点上:
sh /opt/shell/syn.sh /etc/krb5.conf /etc/krb5.conf
写了一个脚本安装和初始化 kerberos,供大家参考(详细的脚本,请参考 install_kerberos.sh 和 init_kerberos.sh ):
# install the kerberos componentsyum install -y krb5-serveryum install -y openldap-clientsyum install -y krb5-workstationrm -rf /var/kerberos/krb5kdc/*.keytab /var/kerberos/krb5kdc/prin*kdb5_util create -r JAVACHEN.COM -schkconfig --level 35 krb5kdc onchkconfig --level 35 kadmin onservice krb5kdc restartservice kadmin restartecho -e "root\nroot" | kadmin.local -q "addprinc root/admin"DNS=JAVACHEN.COMHOSTNAME=`hostname -i`#读取/etc/host文件中ip为 192.168.56 开头的机器名称并排除自己(kerberos 服务器)for host in `cat /etc/hosts|grep 192.168.56|grep -v $HOSTNAME|awk '{print $2}'` ;dofor user in hdfs; dokadmin.local -q "addprinc -randkey $user/$host@$DNS"kadmin.local -q "xst -k /var/kerberos/krb5kdc/$user-un.keytab $user/$host@$DNS"donefor user in HTTP hive yarn mapred impala zookeeper zkcli hbase llama sentry solr hue; dokadmin.local -q "addprinc -randkey $user/$host@$DNS"kadmin.local -q "xst -k /var/kerberos/krb5kdc/$user.keytab $user/$host@$DNS"donedone# 合并cd /var/kerberos/krb5kdc/echo -e "rkt hdfs-un.keytab\nrkt HTTP.keytab\nwkt hdfs.keytab" | ktutil#kerberos 重新初始化之后,还需要添加下面代码用于集成 ldapkadmin.local -q "addprinc ldapadmin@JAVACHEN.COM"kadmin.local -q "addprinc -randkey ldap/cdh1@JAVACHEN.COM"kadmin.local -q "ktadd -k /etc/openldap/ldap.keytab ldap/cdh1@JAVACHEN.COM"/etc/init.d/slapd restart#测试 ldap 是否可以正常使用ldapsearch -x -b 'dc=javachen,dc=com'
运行上面的脚本,然后将上面生成的 keytab 同步到其他节点并设置权限:
sh /opt/shell/syn.sh /opt/keytab/hdfs.keytab /etc/hadoop/conf/sh /opt/shell/syn.sh /opt/keytab/mapred.keytab /etc/hadoop/conf/sh /opt/shell/syn.sh /opt/keytab/yarn.keytab /etc/hadoop/conf/sh /opt/shell/syn.sh /opt/keytab/hive.keytab /etc/hive/conf/sh /opt/shell/syn.sh /opt/keytab/impala.keytab /etc/impala/conf/sh /opt/shell/syn.sh /opt/keytab/zookeeper.keytab /etc/zookeeper/conf/sh /opt/shell/syn.sh /opt/keytab/zkcli.keytab /etc/zookeeper/conf/sh /opt/shell/syn.sh /opt/keytab/sentry.keytab /etc/sentry/conf/sh /opt/shell/cmd.sh "chown hdfs:hadoop /etc/hadoop/conf/hdfs.keytab ;chmod 400 /etc/hadoop/conf/*.keytab"sh /opt/shell/cmd.sh "chown mapred:hadoop /etc/hadoop/conf/mapred.keytab ;chmod 400 /etc/hadoop/conf/*.keytab"sh /opt/shell/cmd.sh "chown yarn:hadoop /etc/hadoop/conf/yarn.keytab ;chmod 400 /etc/hadoop/conf/*.keytab"sh /opt/shell/cmd.sh "chown hive:hadoop /etc/hive/conf/hive.keytab ;chmod 400 /etc/hive/conf/*.keytab"sh /opt/shell/cmd.sh "chown impala:hadoop /etc/impala/conf/impala.keytab ;chmod 400 /etc/impala/conf/*.keytab"sh /opt/shell/cmd.sh "chown zookeeper:hadoop /etc/zookeeper/conf/*.keytab ;chmod 400 /etc/zookeeper/conf/*.keytab"# sentry 只安装在 cdh1 节点chown sentry:hadoop /etc/sentry/conf/*.keytab ;chmod 400 /etc/sentry/conf/*.keytab
在集群中每个节点安装 kerberos 客户端:
sh /opt/shell/cmd.sh "yum install krb5-workstation -y"
批量获取 root/admin 用户的 ticket
sh /opt/shell/cmd.sh "echo root|kinit root/admin"
3. hadoop 集成 kerberos
更新每个节点上的 JCE 文件并修改 /etc/default/hadoop-hdfs-datanode,并且修改 hdfs、yarn、mapred、hive 的配置文件。
如果配置了 HA,则先配置 zookeeper 集成 kerberos。
同步配置文件:
sh /opt/shell/syn.sh /etc/hadoop/conf /etc/hadoopsh /opt/shell/syn.sh /etc/zookeeper/conf /etc/zookeepersh /opt/shell/cmd.sh "cd /etc/hadoop/conf/; chown root:yarn container-executor.cfg ; chmod 400 container-executor.cfg"sh /opt/shell/syn.sh /etc/hive/conf /etc/hive
接下来就是依次获取每个服务对应的 ticket 并启动对应的服务,我创建了一个脚本 /opt/shell/manager_cluster.sh 来做这件事:
#!/bin/bashrole=$1dir=$rolecommand=$2if [ X"$role" == X"hdfs" ];thendir=hadoopfiif [ X"$role" == X"yarn" ];thendir=hadoopfiif [ X"$role" == X"mapred" ];thendir=hadoopfiecho $dir $role $commandfor node in 121 122 123 ;doecho "========192.168.56.$node========"ssh 192.168.56.$node 'host=`hostname -f| tr "[:upper:]" "[:lower:]"`path="'$role'/$host"#echo $pathprincipal=`klist -k /etc/'$dir'/conf/'$role'.keytab | grep $path | head -n1 | cut -d " " -f5`echo $principalif [ X"$principal" == X ]; thenprincipal=`klist -k /etc/'$dir'/conf/'$role'.keytab | grep $path | head -n1 | cut -d " " -f4`echo $principalif [ X"$principal" == X ]; thenecho "Failed to get hdfs Kerberos principal"exit 1fifikinit -r 24l -kt /etc/'$dir'/conf/'$role'.keytab $principalif [ $? -ne 0 ]; thenecho "Failed to login as hdfs by kinit command"exit 1fikinit -Rfor src in `ls /etc/init.d|grep '$role'`;do service $src '$command'; done'done
启动命令:
# 启动 zookeepersh /opt/shell/manager_cluster.sh zookeeper restart# 获取 hdfs 服务的 ticketsh /opt/shell/manager_cluster.sh hdfs status# 使用普通脚本依次启动 hadoop-hdfs-zkfc、hadoop-hdfs-journalnode、hadoop-hdfs-namenode、hadoop-hdfs-datanodesh /opt/shell/cluster.sh hadoop-hdfs-zkfc restartsh /opt/shell/cluster.sh hadoop-hdfs-journalnode restartsh /opt/shell/cluster.sh hadoop-hdfs-namenode restartsh /opt/shell/cluster.sh hadoop-hdfs-datanode restartsh /opt/shell/manager_cluster.sh yarn restartsh /opt/shell/manager_cluster.sh mapred restartsh /opt/shell/manager_cluster.sh hive restart
修改 impala 配置文件并同步到其他节点,然后启动 impala 服务:
\cp /etc/hadoop/conf/core-site.xml /etc/impala/conf/\cp /etc/hadoop/conf/hdfs-site.xml /etc/impala/conf/\cp /etc/hive/conf/hive-site.xml /etc/impala/conf/sh /opt/shell/syn.sh /etc/impala/conf /etc/impala/sh /opt/shell/syn.sh /etc/default/impala /etc/default/impalash /opt/shell/manager_cluster.sh impala restart
到此,集群应该启动成功了。
3 使用 java 代码测试 kerberos
在 hdfs 中集成 kerberos 之前,可以先使用下面代码(Krb.java)进行测试:
import com.sun.security.auth.module.Krb5LoginModule;import javax.security.auth.Subject;import java.io.File;import java.io.FileInputStream;import java.io.InputStream;import java.util.HashMap;import java.util.Map;import java.util.Properties;public class Krb {private void loginImpl(final String propertiesFileName) throws Exception {System.out.println("NB: system property to specify the krb5 config: [java.security.krb5.conf]");//System.setProperty("java.security.krb5.conf", "/etc/krb5.conf");System.out.println(System.getProperty("java.version"));System.setProperty("sun.security.krb5.debug", "true");final Subject subject = new Subject();final Krb5LoginModule krb5LoginModule = new Krb5LoginModule();final Map<String,String> optionMap = new HashMap<String,String>();if (propertiesFileName == null) {//optionMap.put("ticketCache", "/tmp/krb5cc_1000");optionMap.put("keyTab", "/etc/krb5.keytab");optionMap.put("principal", "foo"); // default realmoptionMap.put("doNotPrompt", "true");optionMap.put("refreshKrb5Config", "true");optionMap.put("useTicketCache", "true");optionMap.put("renewTGT", "true");optionMap.put("useKeyTab", "true");optionMap.put("storeKey", "true");optionMap.put("isInitiator", "true");} else {File f = new File(propertiesFileName);System.out.println("======= loading property file ["+f.getAbsolutePath()+"]");Properties p = new Properties();InputStream is = new FileInputStream(f);try {p.load(is);} finally {is.close();}optionMap.putAll((Map)p);}optionMap.put("debug", "true"); // switch on debug of the Java implementationkrb5LoginModule.initialize(subject, null, new HashMap<String,String>(), optionMap);boolean loginOk = krb5LoginModule.login();System.out.println("======= login: " + loginOk);boolean commitOk = krb5LoginModule.commit();System.out.println("======= commit: " + commitOk);System.out.println("======= Subject: " + subject);}public static void main(String[] args) throws Exception {System.out.println("A property file with the login context can be specified as the 1st and the only paramater.");final Krb krb = new Krb();krb.loginImpl(args.length == 0 ? null : args[0]);}}
创建一个配置文件krb5.properties:
keyTab=/etc/hadoop/conf/hdfs.keytabprincipal=hdfs/cdh1@JAVACHEN.COMdoNotPrompt=truerefreshKrb5Config=trueuseTicketCache=truerenewTGT=trueuseKeyTab=truestoreKey=trueisInitiator=true
编译 java 代码并运行:
# 先销毁当前 ticket$ kdestroy$ javac Krb.java$ java -cp . Krb ./krb5.properties
4. 安装 ldap
使用下面命令在 cdh1 节点快速安装 ldap-server:
yum install db4 db4-utils db4-devel cyrus-sasl* krb5-server-ldap -yyum install openldap openldap-servers openldap-clients openldap-devel compat-openldap -y# 更新配置库:rm -rf /var/lib/ldap/*cp /usr/share/openldap-servers/DB_CONFIG.example /var/lib/ldap/DB_CONFIGchown -R ldap.ldap /var/lib/ldap# 备份原来的 slapd-confcp -rf /etc/openldap/slapd.d /etc/openldap/slapd.d.bakcp /usr/share/doc/krb5-server-ldap-1.10.3/kerberos.schema /etc/openldap/schema/touch /etc/openldap/slapd.confecho "include /etc/openldap/schema/corba.schemainclude /etc/openldap/schema/core.schemainclude /etc/openldap/schema/cosine.schemainclude /etc/openldap/schema/duaconf.schemainclude /etc/openldap/schema/dyngroup.schemainclude /etc/openldap/schema/inetorgperson.schemainclude /etc/openldap/schema/java.schemainclude /etc/openldap/schema/misc.schemainclude /etc/openldap/schema/nis.schemainclude /etc/openldap/schema/openldap.schemainclude /etc/openldap/schema/ppolicy.schemainclude /etc/openldap/schema/collective.schemainclude /etc/openldap/schema/kerberos.schema" > /etc/openldap/slapd.confecho -e "pidfile /var/run/openldap/slapd.pid\nargsfile /var/run/openldap/slapd.args" >> /etc/openldap/slapd.confslaptest -f /etc/openldap/slapd.conf -F /etc/openldap/slapd.dchown -R ldap:ldap /etc/openldap/slapd.d && chmod -R 700 /etc/openldap/slapd.d#重启服务chkconfig --add slapdchkconfig --level 345 slapd on/etc/init.d/slapd restart
集成 kerberos:
# 创建管理员用户kadmin.local -q "addprinc ldapadmin@JAVACHEN.COM"kadmin.local -q "addprinc -randkey ldap/cdh1@JAVACHEN.COM"rm -rf /etc/openldap/ldap.keytabkadmin.local -q "ktadd -k /etc/openldap/ldap.keytab ldap/cdh1@JAVACHEN.COM"chown -R ldap:ldap /etc/openldap/ldap.keytab/etc/init.d/slapd restart
创建 modify.ldif 文件用于更新数据库:
dn: olcDatabase={2}bdb,cn=configchangetype: modifyreplace: olcSuffixolcSuffix: dc=javachen,dc=comdn: olcDatabase={2}bdb,cn=configchangetype: modifyreplace: olcRootDN# Temporary lines to allow initial setupolcRootDN: uid=ldapadmin,ou=people,dc=javachen,dc=comdn: olcDatabase={2}bdb,cn=configchangetype: modifyadd: olcRootPWolcRootPW: secretdn: cn=configchangetype: modifyadd: olcAuthzRegexpolcAuthzRegexp: uid=([^,]*),cn=GSSAPI,cn=auth uid=$1,ou=people,dc=javachen,dc=comdn: olcDatabase={2}bdb,cn=configchangetype: modifyadd: olcAccess# Everyone can read everythingolcAccess: {0}to dn.base="" by * read# The ldapadm dn has full write accessolcAccess: {1}to * by dn="uid=ldapadmin,ou=people,dc=javachen,dc=com" write by * read
运行下面命令更新数据库:
ldapmodify -Y EXTERNAL -H ldapi:/// -f modify.ldif
添加用户和组,创建 setup.ldif 如下:
dn: dc=javachen,dc=comobjectClass: topobjectClass: dcObjectobjectclass: organizationo: javachen comdc: javachendn: ou=people,dc=javachen,dc=comobjectclass: organizationalUnitou: peopledescription: Usersdn: ou=group,dc=javachen,dc=comobjectClass: organizationalUnitou: groupdn: uid=ldapadmin,ou=people,dc=javachen,dc=comobjectClass: inetOrgPersonobjectClass: posixAccountobjectClass: shadowAccountcn: LDAP admin accountuid: ldapadminsn: ldapadminuidNumber: 1001gidNumber: 100homeDirectory: /home/ldaploginShell: /bin/bash
运行下面命令导入到数据库:
ldapadd -x -D "uid=ldapadmin,ou=people,dc=javachen,dc=com" -w secret -f setup.ldif
接下来,可以在 ldap 服务器上创建一些本地系统用户,然后将这些用户导入到 ldap 服务中。
先安装 migrationtools 然后修改 /usr/share/migrationtools/migrate_common.ph 文件中的 defalut DNS domain 和 defalut base。
# 创建 admin 组groupadd admin# 创建 test 和 hive 用户,用于后面测试 sentryuseradd test hiveusermod -G admin testusermod -G admin hive# 将关键用户导入到 ldapgrep -E "bi_|hive|test" /etc/passwd >/opt/passwd.txt/usr/share/migrationtools/migrate_passwd.pl /opt/passwd.txt /opt/passwd.ldifldapadd -x -D "uid=ldapadmin,ou=people,dc=javachen,dc=com" -w secret -f /opt/passwd.ldif# 将 admin 组导入到 ldapgrep -E "admin" /etc/group >/opt/group.txt/usr/share/migrationtools/migrate_group.pl /opt/group.txt /opt/group.ldifldapadd -x -D "uid=ldapadmin,ou=people,dc=javachen,dc=com" -w secret -f /opt/group.ldif
然后,你可以依次为每个用户设置密码,使用下面命令:
ldappasswd -x -D 'uid=ldapadmin,ou=people,dc=javachen,dc=com' -w secret "uid=hive,ou=people,dc=javachen,dc=com" -S
另外,这些用户和组都是存在于 ldap 服务器上的,需要将其远程挂载到 hadoop 的每个节点上,否则,你需要在每个节点创建对应的用户和组(目前,测试是这样的)。
6. 集成 sentry
这部分建议使用数据库的方式存储规则,不建议生产环境使用文件保存方式。
详细的配置,请参考 Impala和Hive集成Sentry
通过 beeline 使用 hive/cdh1@JAVACHEN.COM 连接 hive-server2 创建一些角色和组:
create role admin_role;GRANT ALL ON SERVER server1 TO ROLE admin_role;GRANT ROLE admin_role TO GROUP admin;GRANT ROLE admin_role TO GROUP hive;create role test_role;GRANT ALL ON DATABASE testdb TO ROLE test_role;GRANT ALL ON DATABASE default TO ROLE test_role;GRANT ROLE test_role TO GROUP test;
上面 amdin 和 hive 组具有所有数据库的管理员权限,而 test 组只有 testdb 和 default 库的读写权限。
在 impala-shell 中通过 ldap 的方式传入不同的用户,可以测试读写权限。
7. 如何添加新用户并设置权限?
下面以 test2 账号为例,说明如何添加新的用户并设置访问权限。test2 需要具有以下权限
- dw_default 库:读权限
- dw_user 库 t1表:读权限
- dw_user 库 t2 表:读权限
在 LDAP 服务器上 上添加 LDAP 用户并设置密码,首先添加系统用户:
useradd test2
然后使用 LDAP 工具将该用户导入到 LDAP:
grep -E "test2" /etc/passwd >/opt/passwd.txt/usr/share/migrationtools/migrate_passwd.pl /opt/passwd.txt /opt/passwd.ldifldapadd -x -D "uid=ldapadmin,ou=people,dc=javachen,dc=com" -w secret -f /opt/passwd.ldif
给 test2 用户生成一个随机密码,然后修改 LDAP 中 test2 的密码:
ldappasswd -x -D 'uid=ldapadmin,ou=people,dc=javachen,dc=com' -w secret "uid=test2,ou=people,dc=javachen,dc=com" -S
在每台datanode机器上创建 test2 用户和 secure_analyst 分组,test2 属于 secure_analyst 分组:
sh /opt/shell/cmd.sh "groupadd secure_analyst ; useradd test2; usermod -G secure_analyst,test2 test2"
在 hive 中创建角色:
运行 beeline -u "jdbc:hive2://cdh1:10000/default;principal=hive/cdh1@JAVACHEN.COM",然后输入下面语句在 sentry 中创建角色和授予权限给 secure_analyst 组:
create role dw_default_r;GRANT SELECT ON DATABASE dw_default TO ROLE dw_default_r;create role dw_user;GRANT SELECT ON DATABASE dw_user TO ROLE dw_user_r;use dw_user;create role dw_user_secure_r;GRANT SELECT ON table t1 TO ROLE dw_user_secure_r;GRANT SELECT ON table t2 TO ROLE dw_user_secure_r;GRANT ROLE dw_default_r TO GROUP secure_analyst;GRANT ROLE dw_user_secure_r TO GROUP secure_analyst;
然后,需要 impala 刷新元数据,然后进行测试,可能会需要一些时间 impala-catalog 才能刷新过来。
最后进行测试,这部分略。
