1.权限问题

// :: INFO mapreduce.Job: Job job_1555064328415_0328 failed with state FAILED due to: Job setup failed : org.apache.hadoop.security.AccessControlException: Permission denied: user=yarn, access=WRITE, inode="/user/yarn":hdfs:supergroup:drwxr-xr-x
at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:)
at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:)
at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:)
at org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:)
at org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:)
at org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkAncestorAccess(FSDirectory.java:)
at org.apache.hadoop.hdfs.server.namenode.FSDirMkdirOp.mkdirs(FSDirMkdirOp.java:)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:)

oozie调用sqoop时报错,解决:改所有者

sudo -u hdfs hadoop fs -chown -R yarn /user/yarn

2.少MySQL驱动包

// :: INFO hive.metastore: Closed a connection to metastore, current connections:
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/CDH-6.0.-.cdh6.0.0.p0./jars/slf4j-log4j12-1.7..jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/CDH-6.0.-.cdh6.0.0.p0./jars/log4j-slf4j-impl-2.8..jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
// :: INFO sqoop.Sqoop: Running Sqoop version: 1.4.-cdh6.0.0
// :: WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
// :: INFO conf.HiveConf: Found configuration file file:/etc/hive/conf.cloudera.hive/hive-site.xml
// :: INFO hive.metastore: Trying to connect to metastore with URI thrift://hadoop1:9083
// :: INFO hive.metastore: Opened a connection to metastore, current connections:
// :: INFO hive.metastore: Connected to metastore.
// :: INFO hive.metastore: Trying to connect to metastore with URI thrift://hadoop1:9083
// :: INFO hive.metastore: Opened a connection to metastore, current connections:
// :: INFO hive.metastore: Connected to metastore.
// :: WARN tool.BaseSqoopTool: Output field/record delimiter options are not useful in HCatalog jobs for most of the output types except text based formats is text. It is better to use --hive-import in those cases. For non text formats,
// :: INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
// :: INFO tool.CodeGenTool: Beginning code generation
// :: ERROR sqoop.Sqoop: Got exception running Sqoop: java.lang.RuntimeException: Could not load db driver class: com.mysql.jdbc.Driver
java.lang.RuntimeException: Could not load db driver class: com.mysql.jdbc.Driver
at org.apache.sqoop.manager.SqlManager.makeConnection(SqlManager.java:)
at org.apache.sqoop.manager.GenericJdbcManager.getConnection(GenericJdbcManager.java:)
at org.apache.sqoop.manager.SqlManager.execute(SqlManager.java:)
at org.apache.sqoop.manager.SqlManager.execute(SqlManager.java:)
at org.apache.sqoop.manager.SqlManager.getColumnInfoForRawQuery(SqlManager.java:)
at org.apache.sqoop.manager.SqlManager.getColumnTypesForRawQuery(SqlManager.java:)
at org.apache.sqoop.manager.SqlManager.getColumnTypes(SqlManager.java:)
at org.apache.sqoop.manager.ConnManager.getColumnTypes(ConnManager.java:)
at org.apache.sqoop.orm.ClassWriter.getColumnTypes(ClassWriter.java:)
at org.apache.sqoop.orm.ClassWriter.generate(ClassWriter.java:)
at org.apache.sqoop.tool.CodeGenTool.generateORM(CodeGenTool.java:)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:)
at org.apache.sqoop.Sqoop.run(Sqoop.java:)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:)
at org.apache.sqoop.Sqoop.main(Sqoop.java:)
// :: INFO hive.metastore: Closed a connection to metastore, current connections:

sqoop时,应该是有的节点没有放mysql驱动连接jar,将mysql驱动包放入/usr/share/java/下(mysql-connector-java.jar)

Sqoop-问题的更多相关文章

  1. sqoop:Failed to download file from http://hdp01:8080/resources//oracle-jdbc-driver.jar due to HTTP error: HTTP Error 404: Not Found

    环境:ambari2.3,centos7,sqoop1.4.6 问题描述:通过ambari安装了sqoop,又添加了oracle驱动配置,如下: 保存配置后,重启sqoop报错:http://hdp0 ...

  2. 安装sqoop

    安装sqoop 1.默认已经安装好java+hadoop 2.下载对应hadoop版本的sqoop版本 3.解压安装包 tar zxvf sqoop-1.4.6.bin__hadoop-2.0.4-a ...

  3. Hadoop学习笔记—18.Sqoop框架学习

    一.Sqoop基础:连接关系型数据库与Hadoop的桥梁 1.1 Sqoop的基本概念 Hadoop正成为企业用于大数据分析的最热门选择,但想将你的数据移植过去并不容易.Apache Sqoop正在加 ...

  4. Oozie分布式任务的工作流——Sqoop篇

    Sqoop的使用应该是Oozie里面最常用的了,因为很多BI数据分析都是基于业务数据库来做的,因此需要把mysql或者oracle的数据导入到hdfs中再利用mapreduce或者spark进行ETL ...

  5. [大数据之Sqoop] —— Sqoop初探

    Sqoop是一款用于把关系型数据库中的数据导入到hdfs中或者hive中的工具,当然也支持把数据从hdfs或者hive导入到关系型数据库中. Sqoop也是基于Mapreduce来做的数据导入. 关于 ...

  6. [大数据之Sqoop] —— 什么是Sqoop?

    介绍 sqoop是一款用于hadoop和关系型数据库之间数据导入导出的工具.你可以通过sqoop把数据从数据库(比如mysql,oracle)导入到hdfs中:也可以把数据从hdfs中导出到关系型数据 ...

  7. Sqoop切分数据的思想概况

    Sqoop通过--split-by指定切分的字段,--m设置mapper的数量.通过这两个参数分解生成m个where子句,进行分段查询.因此sqoop的split可以理解为where子句的切分. 第一 ...

  8. sqoop数据导出导入命令

    1. 将mysql中的数据导入到hive中 sqoop import --connect jdbc:mysql://localhost:3306/sqoop --direct --username r ...

  9. Apache Sqoop - Overview——Sqoop 概述

    Apache Sqoop - Overview Apache Sqoop 概述 使用Hadoop来分析和处理数据需要将数据加载到集群中并且将它和企业生产数据库中的其他数据进行结合处理.从生产系统加载大 ...

  10. sqoop使用中的小问题

    1.数据库连接异常 执行数据导出 sqoop export --connect jdbc:mysql://192.168.208.129:3306/test --username hive --P - ...

随机推荐

  1. 多线程入门-第五章-线程的调度与控制之yield

    yield与sleep类似,只是不能指定暂停多长时间,并且只能让同优先级的线程有执行的机会,让位时间不固定. /* yield使用 */ public class ThreadTest04 { pub ...

  2. 前端开发 - HTML

    1.index2.head标签相关内容3.常用标签一4.常用标签二 table5.常用标签二 form6.标签分类 1.index <!--声明文档的类型 标记该文档为HTML5的文件--> ...

  3. Robberies---hdu2955(概率dp,01背包)

    题目链接:http://acm.hdu.edu.cn/showproblem.php?pid=2955 题目给了每个银行的钱和被抓的概率,由于要抢尽量多的钱,所以要保证尽量不被抓,而抢多个银行之后不被 ...

  4. docker网络实践

    docker网络.md #docker 网络模式 环境 centos7.4 , Docker version 17.12.0-ce docker自带网络类型 bridge,host,none,cont ...

  5. 常用的自定义Python函数

    常用的自定义Python函数 1.时间戳转为日期字串,精确到ms.单位s def timestamp2datems(timestamp): ''' 时间戳转为日期字串,精确到ms.单位s :param ...

  6. PAT 1145 Hashing - Average Search Time [hash][难]

    1145 Hashing - Average Search Time (25 分) The task of this problem is simple: insert a sequence of d ...

  7. tkprof参数详解

    tkprof参数详解 table=schema.table 指定tkprof处理sql trace文件时临时表的模式名和表名 insert=scriptfile 创建一个文件名为scriptfile的 ...

  8. 编辑器——sublime

    在这里只介绍自己经常使用的编辑器sublime 第一:安装node插件[出处:http://www.bubuko.com/infodetail-798008.html] 1.下载Nodejs插件,下载 ...

  9. HDU 1532 Drainage Ditches(网络流模板题)

    题目大意:就是由于下大雨的时候约翰的农场就会被雨水给淹没,无奈下约翰不得不修建水沟,而且是网络水沟,并且聪明的约翰还控制了水的流速, 本题就是让你求出最大流速,无疑要运用到求最大流了.题中m为水沟数, ...

  10. JVM内存—堆(heap)栈(stack)方法区(method) (转)

    JAVA的JVM的内存可分为3个区:堆(heap).栈(stack)和方法区(method) 堆区:1.存储的全部是对象,每个对象都包含一个与之对应的class的信息.(class的目的是得到操作指令 ...