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Apache Sentry部署

本文轉載自   查看原文   2018-01-25 18:14   1092    apache/ sentry

 

三台hadoop集群，分別是master、slave1和slave2。下面是這三台機器的軟件分布：

  • master：NameNode、ZK、HiveMetaSotre、HiveServer2、SentryServer
  • slave1：DataNode、ZK
  • slave2：DataNode、ZK

2 軟件需求

  1. MySql
  2. mysql-jdbc.jar：mysql-connector-java-5.1.38-bin.jar
  3. Hadoop
  4. Hive1.1.0：apache-hive-1.1.0-bin.tar.gz
  5. Sentry1.6.0：apache-sentry-1.6.0-incubating-bin.tar.gz 
    注意：這里的Sentry1.6.0版本對應的是Hive1.1.0版本，目前還不支持Hive1.2及以上版本。

3 軟件安裝

3.1 MySql安裝

  • 在線安裝：sudo apt-get install mysql-server。
  • 修改文件：vim /etc/mysql/my.cnf，內容如下：

#bind-address           = 127.0.0.1

bind-address            = 0.0.0.0

  • 重啟mysql：service mysql restart 

3.2 Hadoop安裝

此處省略

3.2 Hive安裝

此處省略

創建hive的元數據mysql數據庫

create database hive;

CREATE USER hive IDENTIFIED BY 'hive';

GRANT all ON hive.* TO hive@'%' IDENTIFIED BY'hive';

flush privileges;

3.3 Sentry安裝

1. 解壓安裝

tar -zxvf apache-sentry-1.6.0-incubating-bin.tar.gz -C /opt

2. 修改sentry的配置文件(sentry-site.xml)

mv apache-sentry-1.6.0-incubating-bin apache-sentry-1.6.0

cp mysql-connector-java-5.1.38-bin.jar /opt/apache-sentry-1.6.0/lib

cd /opt/apache-sentry-1.6.0/conf

vim sentry-site.xml

3. 修改sentry-sitem.xml文件

<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>sentry.service.admin.group</name>  
<value>admin</value>
</property>  
<property>
<name>sentry.service.allow.connect</name>  
<value>hive,admin</value>
</property>  
<property>
<name>sentry.service.reporting</name>  
<value>JMX</value>
</property>  
<property>
<name>sentry.service.server.rpc-address</name>  
<value>192.168.70.110</value>
</property>  
<property>
<name>sentry.service.server.rpc-port</name>  
<value>8038</value>
</property>  
<property>
<name>sentry.store.group.mapping</name>  
<value>org.apache.sentry.provider.common.HadoopGroupMappingService</value>
</property>  
<property>
<name>sentry.hive.server</name>  
<value>server1</value>
</property>  
<!-- 配置Webserver -->  
<property>
<name>sentry.service.web.enable</name>  
<value>true</value>
</property>  
<property>
<name>sentry.service.web.port</name>  
<value>51000</value>
</property>  
<property>
<name>sentry.service.web.authentication.type</name>  
<value>NONE</value>
</property>  
<property>
<name>sentry.service.web.authentication.kerberos.principal</name>  
<value> </value>
</property>  
<property>
<name>sentry.service.web.authentication.kerberos.keytab</name>  
<value> </value>
</property>  
<!--配置認證-->  
<property>
<name>sentry.service.security.mode</name>  
<value>none</value>
</property>  
<property>
<name>sentry.service.server.principal</name>  
<value> </value>
</property>  
<property>
<name>sentry.service.server.keytab</name>  
<value> </value>
</property>  
<!-- 配置Jdbc -->  
<property>
<name>sentry.store.jdbc.url</name>  
<value>jdbc:mysql://192.168.70.110:3306/sentry</value>
</property>  
<property>
<name>sentry.store.jdbc.driver</name>  
<value>com.mysql.jdbc.Driver</value>
</property>  
<property>
<name>sentry.store.jdbc.user</name>  
<value>sentry</value>
</property>  
<property>
<name>sentry.store.jdbc.password</name>  
<value>sentry</value>
</property>
</configuration>

　　

4. 配置環境變量 
編輯vim /etc/profile

export SENTRY_HOME=/opt/apache-sentry-1.6.0

export PATH=${SENTRY_HOME}/bin:$PATH

使生效source /etc/profile 
5. 在mysql中創建sentry數據庫

create database sentry;

CREATE USER sentry IDENTIFIED BY 'sentry';

GRANT all ON sentry.* TO sentry@'%' IDENTIFIED BY 'sentry';

flush privileges;

6. 將mysql-jdbc的jar包拷貝到sentry/lib目錄下

cp mysql-connector-java-5.1.38-bin.jar  ${SENTRY_HOME}/lib

7. 替換hadoop中jline的jar包

rm ${HADOOP_HOME}/share/hadoop/yarn/lib/jline-0.9.94.jar

cp ${SENTRY_HOME}/lib/jline-2.12.jar ${HADOOP_HOME}/share/hadoop/yarn/lib

8. 初始化sentry數據庫

sentry --command schema-tool --conffile  ${SENTRY_HOME}/conf/sentry-site.xml --dbType mysql --initSchema

9. 啟動sentry服務

sentry --command service --conffile  ${SENTRY_HOME}/conf/sentry-site.xml

4 Hive集成Sentry

1. 修改hive-site.xml配置文件

<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>hive.sentry.conf.url</name>  
<value>file:///opt/apache-hive-1.1.0/conf/sentry-site.xml</value>
</property>
<!-- 配置開關控制列訪問權限 -->  
<property>
<name>hive.stats.collect.scancols</name>  
<value>true</value>
</property>   
<!-- Hive Metastore集成Sentry -->  
<property>
<name>hive.metastore.pre.event.listeners</name>  
<value>org.apache.sentry.binding.metastore.MetastoreAuthzBinding</value>
</property>  
<property>
<name>hive.metastore.event.listeners</name>  
<value>org.apache.sentry.binding.metastore.SentryMetastorePostEventListener</value>
</property>  
<!-- Hive Server2集成Sentry -->  
<property>
<name>hive.server2.session.hook</name>  
<value>org.apache.sentry.binding.hive.HiveAuthzBindingSessionHook</value>
</property>  
<property>
<name>hive.security.authorization.task.factory</name>  
<value>org.apache.sentry.binding.hive.SentryHiveAuthorizationTaskFactoryImpl</value>
</property>  
<!-- 設置mysql-jdbc -->  
<property>
<name>javax.jdo.option.ConnectionURL</name>  
<value>jdbc:mysql://192.168.70.110:3306/hive?createDatabaseIfNotExist=true</value>
</property>  
<property>
<name>javax.jdo.option.ConnectionDriverName</name>  
<value>com.mysql.jdbc.Driver</value>
</property>  
<property>
<name>javax.jdo.option.ConnectionUserName</name>  
<value>hive</value>
</property>  
<property>
<name>javax.jdo.option.ConnectionPassword</name>  
<value>hive</value>
</property>
</configuration>

　　

2. 修改sentry-site.xml配置文件 
注意：該文件是在hive/conf目錄下的，不要和sentry/conf目錄下的sentry-site.xml文件混淆！

<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>sentry.service.client.server.rpc-address</name>  
<value>192.168.70.110</value>
</property>  
<property>
<name>sentry.service.client.server.rpc-port</name>  
<value>8038</value>
</property>  
<property>
<name>sentry.service.client.server.rpc-connection-timeout</name>  
<value>200000</value>
</property>  
<!--配置認證-->  
<property>
<name>sentry.service.security.mode</name>  
<value>none</value>
</property>  
<property>
<name>sentry.service.server.principal</name>  
<value> </value>
</property>  
<property>
<name>sentry.service.server.keytab</name>  
<value> </value>
</property>  
<property>
<name>sentry.provider</name>  
<value>org.apache.sentry.provider.file.HadoopGroupResourceAuthorizationProvider</value>
</property>  
<property>
<name>sentry.hive.provider.backend</name>  
<value>org.apache.sentry.provider.db.SimpleDBProviderBackend</value>
</property>  
<property>
<name>sentry.metastore.service.users</name>  
<value>hive</value>  
<!--queries made by hive user (beeline) skip meta store check-->
</property>  
<property>
<name>sentry.hive.server</name>  
<value>server1</value>
</property>  
<property>
<name>sentry.hive.testing.mode</name>  
<value>true</value>
</property>
</configuration>

　　

3. 拷貝sentry/lib下的jar包到hive/lib目錄下

cp ${SENTRY_HOME}/lib/sentry*.jar ${HIVE_HOME}/lib

cp ${SENTRY_HOME}/lib/shiro-*.jar ${HIVE_HOME}/lib

注意：shiro-*.jar一定也要拷貝過去，否則會報錯。 
4. 修改Hive在HDFS上的文件權限

hadoop fs -chown -R hive:hive /user/hive/warehouse

hadoop fs -chmod -R 770 /user/hive/warehouse

由於HDFS上文件是hive：hive權限，所以linux用戶上能 
5. 啟動Hive Metastore服務

hive --service metastore -hiveconf hive.root.logger=DEBUG,console

6. 啟動Hive Server2服務

hive --service hiveserver2 -hiveconf hive.root.logger=DEBUG,console

5 Hive權限驗證

5.1 准備測試數據

  • 創建測試數據文件：vim /tmp/events.csv，內容如下：

10.1.2.3,US,android,createNote

10.200.88.99,FR,windows,updateNote

10.1.2.3,US,android,updateNote

10.200.88.77,FR,ios,createNote

10.1.4.5,US,windows,updateTag

  • 然后，在hive中運行下面sql語句（注意：以hive用戶啟動hive命令）：
  1. create database sensitive;
  2. create table sensitive.events (ip STRING, country STRING, client STRING, action STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',';
  3. load data local inpath '/tmp/events.csv' overwrite into table sensitive.events;
  4. create database filtered;
  5. create view filtered.events as select country, client, action from sensitive.events;
  6. create view filtered.events_usonly as select * from filtered.events where country = 'US';
  • 在master上通過 beeline 連接 hiveserver2，運行下面命令創建角色和組：

beeline -u "jdbc:hive2://master:10000/" -n admin -p admin -d org.apache.hive.jdbc.HiveDriver

  • 在beelin中執行下面的 sql 語句創建 role、group等：
  1. create role admin_role;
  2. GRANT ALL ON SERVER server1 TO ROLE admin_role;
  3. GRANT ROLE admin_role TO GROUP admin;
  4. create role test_role;
  5. GRANT ALL ON DATABASE filtered TO ROLE test_role;
  6. use sensitive;
  7. GRANT SELECT(ip) on TABLE sensitive.events TO ROLE test_role;
  8. GRANT ROLE test_role TO GROUP test;

上面創建了兩個角色：

  • admin_role，具有管理員權限，可以讀寫所有數據庫，並授權給 admin 和 hive 組（對應操作系統上的組）
  • test_role，只能讀寫 filtered 數據庫，和只能讀取sensitive庫中events 表中的ip字段，並授權給 test 組。

因為系統上沒有test用戶和組，所以需要手動創建：useradd test

5.2 測試

5.2.1 測試admin_role角色

使用admin用戶訪問beelin：

beeline -u "jdbc:hive2://master:10000/" -n admin -p admin -d org.apache.hive.jdbc.HiveDriver

admin用戶屬於admin_role組，具有管理員權限，可以查看所有角色：

0: jdbc:hive2://master:10000/> show roles;

+-------------+--+

|    role     |

+-------------+--+

| admin_role  |

| test_role   |

+-------------+--+

2 rows selected (0.251 seconds)

查看所有權限：

0: jdbc:hive2://master:10000/> show grant role admin_role;

+-----------+--------+------------+---------+-----------------+-----------------+------------+---------------+-------------------+----------+--+

| database  | table  | partition  | column  | principal_name  | principal_type  | privilege  | grant_option  |    grant_time     | grantor  |

+-----------+--------+------------+---------+-----------------+-----------------+------------+---------------+-------------------+----------+--+

| *         |        |            |         | admin_role      | ROLE            | *          | false         | 1461507543582000  | --       |

+-----------+--------+------------+---------+-----------------+-----------------+------------+---------------+-------------------+----------+--+

1 row selected (0.111 seconds)

0: jdbc:hive2://master:10000/> show grant role test_role;

+------------+---------+------------+---------+-----------------+-----------------+------------+---------------+-------------------+----------+--+

|  database  |  table  | partition  | column  | principal_name  | principal_type  | privilege  | grant_option  |    grant_time     | grantor  |

+------------+---------+------------+---------+-----------------+-----------------+------------+---------------+-------------------+----------+--+

| sensitive  | events  |            | ip      | test_role       | ROLE            | select     | false         | 1461558337008000  | --       |

| filtered   |         |            |         | test_role       | ROLE            | *          | false         | 1461557354579000  | --       |

+------------+---------+------------+---------+-----------------+-----------------+------------+---------------+-------------------+----------+--+

2 rows selected (0.111 seconds)

hive用戶可以查看所有數據庫、訪問所有表：

0: jdbc:hive2://master:10000/> show databases;

+----------------+--+

| database_name  |

+----------------+--+

| default        |

| filtered       |

| sensitive      |

+----------------+--+

3 rows selected (0.142 seconds)

0: jdbc:hive2://master:10000/> use filtered;

No rows affected (0.144 seconds)

0: jdbc:hive2://master:10000/> select * from filtered.events;

+-----------------+----------------+----------------+--+

| events.country  | events.client  | events.action  |

+-----------------+----------------+----------------+--+

| US              | android        | createNote     |

| FR              | windows        | updateNote     |

| US              | android        | updateNote     |

| FR              | ios            | createNote     |

| US              | windows        | updateTag      |

+-----------------+----------------+----------------+--+

5 rows selected (0.458 seconds)

0: jdbc:hive2://master:10000/> select * from sensitive.events;

+---------------+-----------------+----------------+----------------+--+

|   events.ip   | events.country  | events.client  | events.action  |

+---------------+-----------------+----------------+----------------+--+

| 10.1.2.3      | US              | android        | createNote     |

| 10.200.88.99  | FR              | windows        | updateNote     |

| 10.1.2.3      | US              | android        | updateNote     |

| 10.200.88.77  | FR              | ios            | createNote     |

| 10.1.4.5      | US              | windows        | updateTag      |

+---------------+-----------------+----------------+----------------+--+

5 rows selected (0.731 seconds)

5.2.2 測試test_role角色

使用test用戶訪問beeline：

beeline -u "jdbc:hive2://master:10000/" -n test -p test -d org.apache.hive.jdbc.HiveDriver

test用戶不是管理員，是不能查看所有角色的：

0: jdbc:hive2://master:10000/> show roles;

ERROR : Error processing Sentry command: Access denied to test.Please grant admin privilege to test.

Error: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.SentryGrantRevokeTask. SentryAccessDeniedException: Access denied to test (state=08S01,code=1)

test用戶可以列出所有數據庫：

0: jdbc:hive2://master:10000/> show databases;

+----------------+--+

| database_name  |

+----------------+--+

| default        |

| filtered       |

| sensitive      |

+----------------+--+

test用戶可以filtered庫：

0: jdbc:hive2://master:10000/> use filtered;

No rows affected (0.256 seconds)

0: jdbc:hive2://master:10000/> select * from events;

+-----------------+----------------+----------------+--+

| events.country  | events.client  | events.action  |

+-----------------+----------------+----------------+--+

| US              | android        | createNote     |

| FR              | windows        | updateNote     |

| US              | android        | updateNote     |

| FR              | ios            | createNote     |

| US              | windows        | updateTag      |

+-----------------+----------------+----------------+--+

5 rows selected (0.199 seconds)

test用戶只能查看sensitive庫中events表中的ip字段，其他的都都無法查看：

0: jdbc:hive2://master:10000/> use sensitive;

No rows affected (0.112 seconds)

0: jdbc:hive2://master:10000/> select * from events;

Error: Error while compiling statement: FAILED: SemanticException No valid privileges

 User test does not have privileges for QUERY (state=42000,code=40000)

0: jdbc:hive2://master:10000/> select ip from events;

+---------------+--+

|      ip       |

+---------------+--+

| 10.1.2.3      |

| 10.200.88.99  |

| 10.1.2.3      |

| 10.200.88.77  |

| 10.1.4.5      |

+---------------+--+

5 rows selected (0.176 seconds)

原文出處：http://www.shsxt.com/it/Big-data/825.html

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