一.beeline连接hive报错 1. User: root is not allowed to impersonate root (state=08S01,code=0) 在初次搭建完hadoop和hive后,没有设置登录验证的情况下,直接使用beeline命令连接远程的hive数据库,连接命令如下: beeline -u jdbc:hive2://hserver1:10000 -n root 可能会报出如下错误: Connecting to jdbc:hive2://hserver1:10

搭建了 CDH6.1.0环境 新加入一台机器都hive但是报错 javax.jdo.JDODataStoreException: Required table missing : "`VERSION`" in Catalog "" Schema "". Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient WARN [9a4cc1b4

spark整合hive后,hive启动报错: ls: cannot access /export/servers/spark/lib/spark-assembly-*.jar: No such file or directory 原因:spark版本升级到2.x以后,原有lib目录下的大JAR包被分散成多个小JAR包,原来的spark-assembly-*.jar已经不存在,所以hive没有办法找到这个JAR包. 解决方法:打开hive下面的bin目录,找到hive文件,编辑hive文件,找到如

用的apache Hadoop3.X,今天运行MR报错: 找不到或无法加载主类 org.apache.hadoop.mapreduce.v2.app.MRAppMaster 关键需要配置两个配置:mapred-site.xml 和 yarn-site.xml下面配置hadoop classpath. 先运行shell命令:hadoop classpath 复制输出到上面两个文件中: 重启下集群就好了.

报错详细: Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;)V at org.apache.hadoop.conf.Configuration.set(Configuration.java:1357) at org.apache.hadoop.co

本文继成上一篇通过hive分析nginx日志文章,详情参考下面链接: http://www.cnblogs.com/wcwen1990/p/7066230.html 接着来: 创建业务子表: drop table if exists chavin.nginx_access_log_comm; create table if not exists chavin.nginx_access_log_comm( host STRING, time STRING, request STRING, refe

报错: [ERROR] Terminal initialization failed; falling back to unsupported java.lang.IncompatibleClassChangeError: Found class jline.Terminal, but interface was expected at jline.TerminalFactory.create(TerminalFactory.java:101) at jline.TerminalFactory.

在集群中安装atlas,在安装atlas的节点上执行hive -e "show databases;" 正常,但是在集群中其他节点上执行hive -e "show databases;" 命令报如下错误 一.分析 在安装atlas节点上和没有安装atlas的节点上分别再次执行hive --hiveconf hive.root.logger=DEBUG,console -e "show databases;" 命令,获取执行日志,比较日志看看是否什

执行 drop database xxxx cascade; 删除数据库的时候报错. 报错信息:Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. MetaException(message:javax.jdo.JDOException: Exception thrown when executing query FAILED: Execution Error, return code 1 fro

安装好hive后在bin路径下输入hive报错: [ERROR] Terminal initialization failed; falling back to unsupported 原因是hadoop目录下存在老版本jline: /hadoop-2.5.2/share/hadoop/yarn/lib:-rw-r--r-- 1 root root 87325 Mar 10 18:10 jline-0.9.94.jar 删除该文件就可以了  

Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522)

Exception in thread "main"java.lang.RuntimeException: java.lang.IllegalArgumentException:java.net.URISyntaxException: Relative path in absolute URI:${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D atorg.apache.hadoop.hive.ql.session.SessionSta

Hive或spark中执行sql字符常量包含;时会报错,比如 select instr('abc;abc', ';'); 报错 NoViableAltException(-1@[147:1: selectExpression : ( expression | tableAllColumns );]) 需要将;改为ascii select instr('abc\073abc', '\073');

这个报错需要删除hadoop目录下,需要删除下面目录下的文件,重启hadoop和hive即可 $HADOOP_HOME/share/hadoop/yarn/lib/jline-0.9.94.jar

在自己搭建的集群上执行hive搜索语句 select count(*) from ods_event_log where dt='2019-12-14' group by dt; 报错如下: Status: Failed Vertex failed, vertexName=Map 1, vertexId=vertex_1576074410023_0073_2_00, diagnostics=[Task failed, taskId=task_1576074410023_0073_2_00_000

hive metastore在建表时报错 [pool-5-thread-2]: MetaException(message:Got exception: java.net.ConnectException Call From server2 to server1:8020 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.

解决方法:在hive-site.xml中添加 <property>    <name>system:java.io.tmpdir</name>    <value>/home/root/hdp/tmpdir</value> </property>   <property>      <name>system:user.name</name>      <value>hive</va

java.lang.IncompatibleClassChangeError: Found class jline.Terminal, but interface was expected at jline.TerminalFactory.create(TerminalFactory.java:101) at jline.TerminalFactory.get(TerminalFactory.java:158) at jline.console.ConsoleReader.<init>(Con

原因:两个表join的时候,不支持两个表的字段 非相等 操作. 可以把不相等条件拿到 where语句中. 例如: right JOIN test.dim_month_date p2 on p1.month=p2.y_month and p1.day<=p2.day 可以改写成 right JOIN test.dim_month_date_zyy p2 on p1.month=p2.y_month where p1.day<=p2.day 当然此时要注意 null 引起的记录数不一致.

关闭HDFS安全模式 hadoop dfsadmin -safemode leave