sqoop进口eror - 文件不存在: [英] sqoop import eror - File does not exist:

查看:349
本文介绍了sqoop进口eror - 文件不存在:的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我试图用Sqoop从MySQL数据导入到HDFS。但我得到以下错误。

I am trying to import data from MySql to HDFS using Sqoop. But I am getting the following error.

如何解决此问题?

命令:

sqoop import --connect jdbc:mysql://localhost/testDB --username root --password password --table student --m 1

错误:

 ERROR tool.ImportTool: Encountered IOException running import job: java.io.FileNotFoundException: File does not exist: hdfs://localhost:54310/usr/lib/sqoop/lib/parquet-format-2.0.0.jar
    at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:1122)
    at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:1114)
    at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
    at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1114)
    at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.getFileStatus(ClientDistributedCacheManager.java:288)
    at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.getFileStatus(ClientDistributedCacheManager.java:224)
    at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.determineTimestamps(ClientDistributedCacheManager.java:93)
    at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.determineTimestampsAndCacheVisibilities(ClientDistributedCacheManager.java:57)
    at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:269)
    at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:390)
    at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:483)
    at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1296)
    at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1293)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:415)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
    at org.apache.hadoop.mapreduce.Job.submit(Job.java:1293)
    at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1314)
    at org.apache.sqoop.mapreduce.ImportJobBase.doSubmitJob(ImportJobBase.java:196)
    at org.apache.sqoop.mapreduce.ImportJobBase.runJob(ImportJobBase.java:169)
    at org.apache.sqoop.mapreduce.ImportJobBase.runImport(ImportJobBase.java:266)
    at org.apache.sqoop.manager.SqlManager.importTable(SqlManager.java:673)
    at org.apache.sqoop.manager.MySQLManager.importTable(MySQLManager.java:118)
    at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:497)
    at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:605)
    at org.apache.sqoop.Sqoop.run(Sqoop.java:143)
    at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
    at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:179)
    at org.apache.sqoop.Sqoop.runTool(Sqoop.java:218)
    at org.apache.sqoop.Sqoop.runTool(Sqoop.java:227)

的Hadoop版本:2.6.0

Hadoop version : 2.6.0

Sqoop版本:1.4.6

Sqoop version : 1.4.6

推荐答案

您可以通过添加在/ usr /本地/ sqoop / lib中所有jar文件到HDFS解决这个问题:

You can solve this by adding all jars in /usr/local/sqoop/lib into HDFS :

先在HDFS创建一个目录:

First create a directory in HDFS :

hdfs dfs -mkdir -p /usr/lib/sqoop/lib/

然后把所有libraires到HDFS

Then put all libraires into HDFS

hdfs dfs -put /usr/lib/sqoop/lib/* /usr/lib/sqoop/lib/

然后检查罐子存在于HDFS:

Then check That the jars exists in HDFS :

hdfs dfs -ls /usr/lib/sqoop/lib

使用sqoop Finnaly进口数据:

Finnaly import data using sqoop :

sqoop import --connect jdbc:mysql://localhost/testDB --username root --password password --table student --m 1

这篇关于sqoop进口eror - 文件不存在:的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆