search
HomeDatabaseMysql Tutorial hive任务提交的相关权限认证详析

最近在研究Hue,遇到一个问题,在HiveEditor写一个HQL,提交后会报权限错误,类似这样的Authorizationfailed:NoprivilegeSelectfoundforinputs&n..

    最近在研究Hue,遇到一个问题,在Hive Editor写一个HQL,提交后会报权限错误,类似这样的

Authorization failed:No privilege 'Select' found for inputs {database:xxx, table:xxx, columnName:xxx}. Use show grant to get more details.

    Hue的登录用户是hadoop,使用cli方式查询的时候,是没问题的,但是使用Hue连接HiveServer2的方式,就查询不了对应的表了,排除Hue的干扰,使用Beeline来连接HiveServer2,同样报权限的错误,堆栈信息如下图



wKiom1O1KT_jKAZdAAyGT2bPY6U498.jpg


    根据堆栈信息大概梳理了下源码(只列出比较重要的代码),Hive提交SQL的权限验证流程如下

    Driver.compile(String command, boolean resetTaskIds){       if (HiveConf.getBoolVar(conf,           HiveConf.ConfVars.HIVE_AUTHORIZATION_ENABLED)) {         try {           perfLogger.PerfLogBegin(LOG, PerfLogger.DO_AUTHORIZATION);           //进行权限校验           doAuthorization(sem);         }      }      Driver.doAuthorization(BaseSemanticAnalyzer sem){         //判断op的操作类型为QUERY         if (op.equals(HiveOperation.CREATETABLE_AS_SELECT)               || op.equals(HiveOperation.QUERY)) {             if (cols != null && cols.size() > 0) {                 //进行更具体的验证                 ss.getAuthorizer().authorize(tbl, null, cols,                     op.getInputRequiredPrivileges(), null);             }          }      }      BitSetCheckedAuthorizationProvider.authorize(Table table, Partition part, List columns,Privilege[] inputRequiredPriv, Privilege[] outputRequiredPriv){             //验证用户对DB和Table的权限             authorizeUserDBAndTable(table, inputRequiredPriv, outputRequiredPriv,inputCheck,outputCheck)             //验证用户对Table中column的权限             for (String col : columns) {                 PrincipalPrivilegeSet partColumnPrivileges = hive_db                       .get_privilege_set(HiveObjectType.COLUMN, table.getDbName(),table.getTableName(),partValues, col,this.getAuthenticator().getUserName(), this.getAuthenticator().getGroupNames());                 authorizePrivileges(partColumnPrivileges, inputRequiredPriv, inputCheck2,                        outputRequiredPriv, outputCheck2);             }      }

    Hive的权限验证首先会调用authorizeUserDBAndTable验证用户是否对访问的DB和Table有访问权限,对应到MetaStore的DB_PRIVS和TBL_PRIVS表,在进行验证的时候,会通过thrift与HiveMetaStore进程进行交互来获取MetaStore库中对应表的相关信息。如果用户对更大粒度的资源有访问权限,则会直接返回,不会再继续进行更细粒度的验证,也就是说如果用户对DB有相关的权限,则不会继续验证对Table和Column的访问权限。

    查看了下DB_PRIVS表,hadoop用户对访问的数据库是有Select权限的,所以再传统CLI模式下访问是没有问题的。看上述代码也都是在预料之中,因为实际上CLI模式和HiveServer模式的权限验证是一套代码。决定remote debug下,进而发现this.getAuthenticator().getUserName()的值为hive,也即是启动HiveServer2的用户,而不是提交SQL的用户hadoop,顺藤摸瓜,找到了设置authenticator相关属性的代码

    SessionState.start(SessionState startSs) {         //实例化默认的HadoopDefaultAuthenticator,方法内部,,使用ReflectionUtils反射加载类的时候,进而调用了HadoopDefaultAuthenticator.setConf方法         startSs.authenticator=HiveUtils.getAuthenticator(startSs.getConf(),HiveConf.ConfVars.HIVE_AUTHENTICATOR_MANAGER);     }     HadoopDefaultAuthenticator.setConf(Configuration conf){         ugi = ShimLoader.getHadoopShims().getUGIForConf(conf);     }     HadoopShimsSecure.getUGIForConf(Configuration conf) throws IOException {         return UserGroupInformation.getCurrentUser();     }      UserGroupInformation.getCurrentUser() throws IOException {     AccessControlContext context = AccessController.getContext();     Subject subject = Subject.getSubject(context);     //HiveServer刚启动的时候,subject为空,调用getLoginUser     if (subject == null || subject.getPrincipals(User.class).isEmpty()) {       return getLoginUser();     } else {       return new UserGroupInformation(subject);     }   } UserGroupInformation.getLoginUser() {     if (loginUser == null) {       try {         Subject subject = new Subject();         LoginContext login;         if (isSecurityEnabled()) {           login = newLoginContext(HadoopConfiguration.USER_KERBEROS_CONFIG_NAME,               subject, new HadoopConfiguration());         } else {           login = newLoginContext(HadoopConfiguration.SIMPLE_CONFIG_NAME,                subject, new HadoopConfiguration());         }         login.login();         loginUser = new UserGroupInformation(subject);         loginUser.setLogin(login);         loginUser.setAuthenticationMethod(isSecurityEnabled() ?                                           AuthenticationMethod.KERBEROS :                                           AuthenticationMethod.SIMPLE);         loginUser = new UserGroupInformation(login.getSubject());         String fileLocation = System.getenv(HADOOP_TOKEN_FILE_LOCATION);         if (fileLocation != null) {           Credentials cred = Credentials.readTokenStorageFile(               new File(fileLocation), conf);           loginUser.addCredentials(cred);         }         loginUser.spawnAutoRenewalThreadForUserCreds();       } catch (LoginException le) {         LOG.debug("failure to login", le);         throw new IOException("failure to login", le);       }       if (LOG.isDebugEnabled()) {         LOG.debug("UGI loginUser:"+loginUser);       }     }     return loginUser;   }

    

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Explain the role of InnoDB redo logs and undo logs.Explain the role of InnoDB redo logs and undo logs.Apr 15, 2025 am 12:16 AM

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

What are the key metrics to look for in an EXPLAIN output (type, key, rows, Extra)?What are the key metrics to look for in an EXPLAIN output (type, key, rows, Extra)?Apr 15, 2025 am 12:15 AM

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

What is the Using temporary status in EXPLAIN and how to avoid it?What is the Using temporary status in EXPLAIN and how to avoid it?Apr 15, 2025 am 12:14 AM

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

Describe the different SQL transaction isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable) and their implications in MySQL/InnoDB.Describe the different SQL transaction isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable) and their implications in MySQL/InnoDB.Apr 15, 2025 am 12:11 AM

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL vs. Other Databases: Comparing the OptionsMySQL vs. Other Databases: Comparing the OptionsApr 15, 2025 am 12:08 AM

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

How does MySQL index cardinality affect query performance?How does MySQL index cardinality affect query performance?Apr 14, 2025 am 12:18 AM

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

MySQL: Resources and Tutorials for New UsersMySQL: Resources and Tutorials for New UsersApr 14, 2025 am 12:16 AM

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

Real-World MySQL: Examples and Use CasesReal-World MySQL: Examples and Use CasesApr 14, 2025 am 12:15 AM

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools