在java中调用sqoop接口进行mysql和hdfs直接数据传输时，遇到以下错误： Found interface org.apache.hadoop.mapreduce.JobContext, but...class was expected 这里需要注意，sqoop有两个版本： sqoop-1.4.4.bin__hadoop-1.0.0.tar.gz（对应hadoop1版本） sqoop-1.4.4....bin__hadoop-2.0.4-alpha.tar.gz（对应hadoop2版本） 出现上面的错误就是hadoop和对应的sqoop版本不一致，二者保持一致即可解决问题。
问题描述 Hadoop 运行 jar 包出现以下问题 22/09/03 00:34:34 INFO mapreduce.Job: Task Id : attempt_1662133271274_0002..._m_000000_1, Status : FAILED Error: java.lang.ClassCastException: org.apache.hadoop.io.LongWritable cannot...be cast to org.apache.hadoop.io.IntWritable 解决方法 Map 类 key的默认输入是 LongWritable 型，不能强转。
org.apache.hadoop.ipc.RPC$VersionMismatch: Protocol org.apache.hadoop.hdfs.protocol.ClientProtocol version...(client = 42, server = 41) at org.apache.hadoop.ipc.RPC.getProxy(RPC.java:364) at org.apache.hadoop.hdfs.DFSClient.createRPCNamenode...:82) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1378) at org.apache.hadoop.fs.FileSystem.access...$200(FileSystem.java:66) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1390) at org.apache.hadoop.fs.FileSystem.get...org.apache.hadoop.hbase.master.HMaster: Aborting 2012-02-01 14:41:52,870 DEBUG org.apache.hadoop.hbase.master.HMaster
想在 IDEA 上运行 Hadoop 的单测，以为 Maven 相关的依赖和插件下载好就能跑了是吧？...果不其然，没那么简单，下面就收到一个报错了: org.apache.hadoop.ipc.xxx不存在，见下图。 ? 上面显示的这个是什么包？为什么会报这个错呢？...其实不用着急，只要你了解 Hadoop 底层，有点后端的基础，慢慢推敲一下。看到 RPC，那么可以理解，这些不存在的文件为什么不存在呢？
hive启动后运行命令时出现： FAILED: Error in metadata: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient...FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask 这种情况一般原因比较多，所以需要进行
org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient Logging initializedusing configuration...:Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient atorg.apache.hadoop.hive.ql.session.SessionState.start...:531) atorg.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:705) at org.apache.hadoop.hive.cli.CliDriver.main...(RunJar.java:221) atorg.apache.hadoop.util.RunJar.main(RunJar.java:136) Caused by:org.apache.hadoop.hive.ql.metadata.HiveException...(Hive.java:290) atorg.apache.hadoop.hive.ql.metadata.Hive.get(Hive.java:266) at org.apache.hadoop.hive.ql.session.SessionState.start
org.apache.hadoop.hbase.TableNotDisabledException ?
记录一次错误： 环境：CDH5.10 jdk8 hive query 时，报错org.apache.hadoop.mapred.YarnChild: Error running child...: java.lang.OutOfMemoryError: GC overhead limit exceeded at org.apache.hadoop.io.Text.setCapacity(Text.java...:268) at org.apache.hadoop.io.Text.set(Text.java:224) at org.apache.hadoop.io.Text.set(Text.java...CDH有mapreduce.map.java.opts.max.heap而apache hadoop并没有这个参数，却有mapreduce.map.java.opts， mapreduce.map.java.opts
(RPC.java:928) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) at org.apache.hadoop.ipc.Server...at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1465) at org.apache.hadoop.hdfs.DFSClient.create...:334) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:906) at org.apache.hadoop.fs.FileSystem.create...(RPC.java:928) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) at org.apache.hadoop.ipc.Server...at org.apache.hadoop.ipc.Client.call(Client.java:1410) at org.apache.hadoop.ipc.Client.call(Client.java
Starting shutdown. org.apache.hadoop.ipc.RPC$VersionMismatch: Protocol org.apache.hadoop.hdfs.protocol.ClientProtocol...(client = 42, server = 41) at org.apache.hadoop.ipc.RPC.getProxy(RPC.java:364) at org.apache.hadoop.hdfs.DFSClient.createRPCNamenode...:82) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1378) at org.apache.hadoop.fs.FileSystem.access...$200(FileSystem.java:66) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1390) at org.apache.hadoop.fs.FileSystem.get...(FileSystem.java:196) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:175) at org.apache.hadoop.hbase.util.FSUtils.getRootDir
[ERROR] Failed to execute goal org.apache.hadoop:hadoop-maven-plugins:2.8.5:protoc (compile-protoc) on...project hadoop-common: org.apache.maven.plugin.MojoExecutionException: protoc version is 'libprotoc...the errors and possible solutions, please read the following articles: [ERROR] [Help 1] http://cwiki.apache.org...After correcting the problems, you can resume the build with the command [ERROR] mvn -rf :hadoop-common...在打包 Hadoop 2.8.5 的时候，报错信息大概如上，其实很好解释，就是本地的 protoc 的版本跟 Hadoop 需要的版本不一样了，从报错信息可以知道，本地是 2.6.1，只要改成 2.5.0
org.apache.hadoop.hdfs.protocol.QuotaExceededException的报错。...示例代码片段： import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path...三、错误代码示例 以下是一个可能导致该报错的代码示例，并解释其错误之处： import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem...以下是正确的代码示例： import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem; import...org.apache.hadoop.fs.QuotaUsage; import org.apache.hadoop.fs.Path; import java.io.IOException; public
解决办法一：在每台服务器上执行：ntpdate asia.pool.ntp.org 同步所有的服务器的时间 解决办法二：设置参数set hive.exec.parallel=true; 解释： 同一个
Hbase报错: ERROR: org.apache.hadoop.hbase.PleaseHoldException: Master is initializing 解决方案： 主控形状正在初始化，检查
ShuffleError 错误信息： Error: org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle...in fetcher#3 at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134) at org.apache.hadoop.mapred.ReduceTask.run...by: java.lang.OutOfMemoryError: Java heap space at org.apache.hadoop.io.BoundedByteArrayOutputStream...(BoundedByteArrayOutputStream.java:56) at org.apache.hadoop.io.BoundedByteArrayOutputStream....:295) at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:514) at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost
/home/hadoop/hadoop-3.3.1/etc/hadoop:/home/hadoop/hadoop-3.3.1/share/hadoop/common/lib/:/home/...hadoop/hadoop-3.3.1/share/hadoop/common/:/home/hadoop/hadoop-3.3.1/share/hadoop/hdfs:/home/hadoop/hadoop...-3.3.1/share/hadoop/hdfs/lib/:/home/hadoop/hadoop-3.3.1/share/hadoop/hdfs/:/home/hadoop/hadoop-3.3.1/...share/hadoop/mapreduce/:/home/hadoop/hadoop-3.3.1/share/hadoop/yarn:/home/hadoop/hadoop-3.3.1/share/hadoop.../yarn/lib/:/home/hadoop/hadoop-3.3.1/share/hadoop/yarn/* 执行 source /etc/profile
:9000/user/hadoop/tb_user already exists 32 at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.checkOutputSpecs...at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1295) 36 at org.apache.hadoop.mapreduce.Job$10...at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1313) 42 at org.apache.sqoop.mapreduce.ImportJobBase.doSubmitJob...at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:605) 49 at org.apache.sqoop.Sqoop.run...(Sqoop.java:143) 50 at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70) 51 at org.apache.sqoop.Sqoop.runSqoop
Hive执行脚本: Return Code 2 from org.apache.hadoop.hive.ql.exec.MapRedTask 0. 写在前面 1. 实验场景 1....# # console # Add "console" to rootlogger above if you want to use this # log4j.appender.console=org.apache.log4j.ConsoleAppender...log4j.appender.console.target=System.err log4j.appender.console.layout=org.apache.log4j.PatternLayout...Metrics. # log4j.appender.EventCounter=org.apache.hadoop.metrics.jvm.EventCounter log4j.category.DataNucleus...参考 https://stackoverflow.com/questions/11185528/what-is-hive-return-code-2-from-org-apache-hadoop-hive-ql-exec-mapredtask
/28 16:06:05 INFO mapred.JobClient: Task Id : attempt_201110281103_0003_m_000002_0, Status : FAILED org.apache.hadoop.security.AccessControlException...: org.apache.hadoop.security.AccessControlException: Permission denied: user=DrWho, access=WRITE, inode... 修改完貌似要重启下hadoop的进程才能生效 开发环境:win xp sp3 , Eclipse 3.3 , hadoop-0.20.2 hadoop...服务器部署环境： Ubuntu 10.10 , hadoop-0.20.2 小结: 接触Hadoop没多久，不知道这样修改对集群的安全性有啥影响。...提供的解决方法为：放开 hadoop 目录的权限 ， 命令如下 ：$ hadoop fs -chmod 777 /user/hadoop
:428) at org.apache.hadoop.mapred.YARNRunner.getJobStatus(YARNRunner.java:568) at org.apache.hadoop.mapreduce.Job...:438) at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:137) at org.apache.hadoop.hive.ql.exec.Task.executeTask...:196) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290) at org.apache.hadoop.mapreduce.Job$10...(UserGroupInformation.java:1657) at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287) at org.apache.hadoop.mapred.JobClient...at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160) at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential
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