2022-12-06 04:00:22,503 ERROR tool.ExportTool: Encountered IOException running export job:
java.net.ConnectException: Call From hadoop1/192.168.69.137 to hadoop1:9000 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:831)
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:755)
at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1495)
at org.apache.hadoop.ipc.Client.call(Client.java:1437)
at org.apache.hadoop.ipc.Client.call(Client.java:1347)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:228)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116)
at com.sun.proxy.$Proxy11.getFileInfo(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:883)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
at com.sun.proxy.$Proxy12.getFileInfo(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1652)
at org.apache.hadoop.hdfs.DistributedFileSystem$29.doCall(DistributedFileSystem.java:1569)
at org.apache.hadoop.hdfs.DistributedFileSystem$29.doCall(DistributedFileSystem.java:1566)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1581)
at org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(JobSubmissionFiles.java:136)
at org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(JobSubmissionFiles.java:113)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:151)
at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1570)
at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1567)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1682)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1567)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1588)
at org.apache.sqoop.mapreduce.ExportJobBase.doSubmitJob(ExportJobBase.java:324)
at org.apache.sqoop.mapreduce.ExportJobBase.runJob(ExportJobBase.java:301)
at org.apache.sqoop.mapreduce.ExportJobBase.runExport(ExportJobBase.java:442)
at org.apache.sqoop.manager.SqlManager.exportTable(SqlManager.java:931)
at org.apache.sqoop.tool.ExportTool.exportTable(ExportTool.java:80)
at org.apache.sqoop.tool.ExportTool.run(ExportTool.java:99)
at org.apache.sqoop.Sqoop.run(Sqoop.java:147)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243)
at org.apache.sqoop.Sqoop.main(Sqoop.java:252)
Caused by: java.net.ConnectException: Connection refused
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531)
at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:685)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:788)
at org.apache.hadoop.ipc.Client$Connection.access$3500(Client.java:409)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:1552)
at org.apache.hadoop.ipc.Client.call(Client.java:1383)
... 42 more
start-all.sh
2022-12-06 04:13:58,377 INFO mapreduce.JobSubmitter: Cleaning up the staging area /tmp/hadoop-yarn/staging/root/.staging/job_1670317331429_0001
2022-12-06 04:13:58,402 ERROR tool.ExportTool: Encountered IOException running export job:
org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://hadoop1:9000/app/text.txt
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:330)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:272)
at org.apache.sqoop.mapreduce.ExportInputFormat.getJobSize(ExportInputFormat.java:51)
at org.apache.sqoop.mapreduce.ExportInputFormat.getSplits(ExportInputFormat.java:64)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:313)
at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:330)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:203)
at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1570)
at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1567)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1682)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1567)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1588)
at org.apache.sqoop.mapreduce.ExportJobBase.doSubmitJob(ExportJobBase.java:324)
at org.apache.sqoop.mapreduce.ExportJobBase.runJob(ExportJobBase.java:301)
at org.apache.sqoop.mapreduce.ExportJobBase.runExport(ExportJobBase.java:442)
at org.apache.sqoop.manager.SqlManager.exportTable(SqlManager.java:931)
at org.apache.sqoop.tool.ExportTool.exportTable(ExportTool.java:80)
at org.apache.sqoop.tool.ExportTool.run(ExportTool.java:99)
at org.apache.sqoop.Sqoop.run(Sqoop.java:147)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243)
at org.apache.sqoop.Sqoop.main(Sqoop.java:252)
[root@hadoop1 sqoop]#
这个问题找不见建的text.txt的文件，重新再sqoop目录下简历文件即可
[root@hadoop1 sqoop]#
[root@hadoop1 sqoop]# hadoop fs -put text.txt /sqoop
[root@hadoop1 sqoop]#
[root@hadoop1 sqoop]#
[root@hadoop1 sqoop]#
[root@hadoop1 sqoop]# sqoop export --connect jdbc:mysql://192.168.69.137:3306/hdfsdb --username root --password 9785wyb --table fruit --export-dir /app/text.txt -m 1
Warning: /app/sqoop/../hcatalog does not exist! HCatalog jobs will fail.
Please set $HCAT_HOME to the root of your HCatalog installation.
Warning: /app/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
Error: Could not find or load main class org.apache.hadoop.hbase.util.GetJavaProperty
2022-12-06 04:23:21,472 INFO sqoop.Sqoop: Running Sqoop version: 1.4.7
2022-12-06 04:23:21,520 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
2022-12-06 04:23:21,650 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
2022-12-06 04:23:21,654 INFO tool.CodeGenTool: Beginning code generation
Tue Dec 06 04:23:21 EST 2022 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
2022-12-06 04:23:22,452 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `fruit` AS t LIMIT 1
2022-12-06 04:23:22,480 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `fruit` AS t LIMIT 1
2022-12-06 04:23:22,493 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /app/hadoop
Note: /tmp/sqoop-root/compile/c8bb01707712bfaac967f07e1be52e28/fruit.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
2022-12-06 04:23:24,405 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-root/compile/c8bb01707712bfaac967f07e1be52e28/fruit.jar
2022-12-06 04:23:24,469 INFO mapreduce.ExportJobBase: Beginning export of fruit
2022-12-06 04:23:24,470 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
2022-12-06 04:23:24,688 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
2022-12-06 04:23:26,417 INFO Configuration.deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative
2022-12-06 04:23:26,424 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative
2022-12-06 04:23:26,434 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
2022-12-06 04:23:26,688 INFO client.RMProxy: Connecting to ResourceManager at hadoop1/192.168.69.137:8032
2022-12-06 04:23:27,236 INFO mapreduce.JobResourceUploader: Disabling Erasure Coding for path: /tmp/hadoop-yarn/staging/root/.staging/job_1670317331429_0002
2022-12-06 04:23:29,497 INFO input.FileInputFormat: Total input files to process : 1
2022-12-06 04:23:29,499 INFO input.FileInputFormat: Total input files to process : 1
2022-12-06 04:23:29,712 INFO mapreduce.JobSubmitter: number of splits:1
2022-12-06 04:23:29,776 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative
2022-12-06 04:23:29,777 INFO Configuration.deprecation: yarn.resourcemanager.system-metrics-publisher.enabled is deprecated. Instead, use yarn.system-metrics-publisher.enabled
2022-12-06 04:23:29,945 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1670317331429_0002
2022-12-06 04:23:29,949 INFO mapreduce.JobSubmitter: Executing with tokens: []
2022-12-06 04:23:30,260 INFO conf.Configuration: resource-types.xml not found
2022-12-06 04:23:30,260 INFO resource.ResourceUtils: Unable to find 'resource-types.xml'.
2022-12-06 04:23:30,918 INFO impl.YarnClientImpl: Submitted application application_1670317331429_0002
2022-12-06 04:23:31,008 INFO mapreduce.Job: The url to track the job: http://hadoop1:8088/proxy/application_1670317331429_0002/
2022-12-06 04:23:31,009 INFO mapreduce.Job: Running job: job_1670317331429_0002
2022-12-06 04:23:44,286 INFO mapreduce.Job: Job job_1670317331429_0002 running in uber mode : false
2022-12-06 04:23:44,294 INFO mapreduce.Job: map 0% reduce 0%
2022-12-06 04:23:52,616 INFO mapreduce.Job: map 100% reduce 0%
2022-12-06 04:23:52,635 INFO mapreduce.Job: Job job_1670317331429_0002 completed successfully
2022-12-06 04:23:52,757 INFO mapreduce.Job: Counters: 32
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=220555
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=180
HDFS: Number of bytes written=0
HDFS: Number of read operations=4
HDFS: Number of large read operations=0
HDFS: Number of write operations=0
Job Counters
Launched map tasks=1
Rack-local map tasks=1
Total time spent by all maps in occupied slots (ms)=5100
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=5100
Total vcore-milliseconds taken by all map tasks=5100
Total megabyte-milliseconds taken by all map tasks=5222400
Map-Reduce Framework
Map input records=3
Map output records=3
Input split bytes=113
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=208
CPU time spent (ms)=2930
Physical memory (bytes) snapshot=239378432
Virtual memory (bytes) snapshot=2802765824
Total committed heap usage (bytes)=170393600
Peak Map Physical memory (bytes)=239587328
Peak Map Virtual memory (bytes)=2802765824
File Input Format Counters
Bytes Read=0
File Output Format Counters
Bytes Written=0
2022-12-06 04:23:52,767 INFO mapreduce.ExportJobBase: Transferred 180 bytes in 26.2651 seconds (6.8532 bytes/sec)
2022-12-06 04:23:52,771 INFO mapreduce.ExportJobBase: Exported 3 records.执行成功
作为我的Rails应用程序的一部分，我编写了一个小导入程序，它从我们的LDAP系统中吸取数据并将其塞入一个用户表中。不幸的是，与LDAP相关的代码在遍历我们的32K用户时泄漏了大量内存，我一直无法弄清楚如何解决这个问题。这个问题似乎在某种程度上与LDAP库有关，因为当我删除对LDAP内容的调用时，内存使用情况会很好地稳定下来。此外，不断增加的对象是Net::BER::BerIdentifiedString和Net::BER::BerIdentifiedArray，它们都是LDAP库的一部分。当我运行导入时，内存使用量最终达到超过1GB的峰值。如果问题存在，我需要找到一些方法来更正我的代
是的，我知道最好使用webmock，但我想知道如何在RSpec中模拟此方法:defmethod_to_testurl=URI.parseurireq=Net::HTTP::Post.newurl.pathres=Net::HTTP.start(url.host,url.port)do|http|http.requestreq,foo:1endresend这是RSpec:let(:uri){'http://example.com'}specify'HTTPcall'dohttp=mock:httpNet::HTTP.stub!(:start).and_yieldhttphttp.shou
我真的很习惯使用Ruby编写以下代码:my_hash={}my_hash['test']=1Java中对应的数据结构是什么？ 最佳答案 HashMapmap=newHashMap();map.put("test",1);我假设？ 关于java-等价于Java中的RubyHash，我们在StackOverflow上找到一个类似的问题： https://stackoverflow.com/questions/22737685/
我正在尝试使用boilerpipe来自JRuby。我看过guide从JRuby调用Java，并成功地将它与另一个Java包一起使用，但无法弄清楚为什么同样的东西不能用于boilerpipe。我正在尝试基本上从JRuby中执行与此Java等效的操作:URLurl=newURL("http://www.example.com/some-location/index.html");Stringtext=ArticleExtractor.INSTANCE.getText(url);在JRuby中试过这个:require'java'url=java.net.URL.new("http://www
我目前正在使用以下方法获取页面的源代码:Net::HTTP.get(URI.parse(page.url))我还想获取HTTP状态，而无需发出第二个请求。有没有办法用另一种方法做到这一点？我一直在查看文档，但似乎找不到我要找的东西。 最佳答案 在我看来，除非您需要一些真正的低级访问或控制，否则最好使用Ruby的内置Open::URI模块:require'open-uri'io=open('http://www.example.org/')#=>#body=io.read[0,50]#=>"["200","OK"]io.base_ur
我只想对我一直在思考的这个问题有其他意见，例如我有classuser_controller和classuserclassUserattr_accessor:name,:usernameendclassUserController//dosomethingaboutanythingaboutusersend问题是我的User类中是否应该有逻辑user=User.newuser.do_something(user1)oritshouldbeuser_controller=UserController.newuser_controller.do_something(user1,user2)我
什么是ruby的rack或python的Java的wsgi？还有一个路由库。 最佳答案 来自Python标准PEP333:Bycontrast,althoughJavahasjustasmanywebapplicationframeworksavailable,Java's"servlet"APImakesitpossibleforapplicationswrittenwithanyJavawebapplicationframeworktoruninanywebserverthatsupportstheservletAPI.ht
这篇文章是继上一篇文章“Observability：从零开始创建Java微服务并监控它（一）”的续篇。在上一篇文章中，我们讲述了如何创建一个Javaweb应用，并使用Filebeat来收集应用所生成的日志。在今天的文章中，我来详述如何收集应用的指标，使用APM来监控应用并监督web服务的在线情况。源码可以在地址 https://github.com/liu-xiao-guo/java_observability 进行下载。摄入指标指标被视为可以随时更改的时间点值。当前请求的数量可以改变任何毫秒。你可能有1000个请求的峰值，然后一切都回到一个请求。这也意味着这些指标可能不准确，你还想提取最小/
HashMap中为什么引入红黑树，而不是AVL树呢1.概述开始学习这个知识点之前我们需要知道，在JDK1.8以及之前，针对HashMap有什么不同。JDK1.7的时候，HashMap的底层实现是数组+链表JDK1.8的时候，HashMap的底层实现是数组+链表+红黑树我们要思考一个问题，为什么要从链表转为红黑树呢。首先先让我们了解下链表有什么不好？？？2.链表上述的截图其实就是链表的结构，我们来看下链表的增删改查的时间复杂度增：因为链表不是线性结构，所以每次添加的时候，只需要移动一个节点，所以可以理解为复杂度是N(1)删：算法时间复杂度跟增保持一致查：既然是非线性结构，所以查询某一个节点的时候
1.错误信息：Errorresponsefromdaemon:Gethttps://registry-1.docker.io/v2/:net/http:requestcanceledwhilewaitingforconnection(Client.Timeoutexceededwhileawaitingheaders)或者：Errorresponsefromdaemon:Gethttps://registry-1.docker.io/v2/:net/http:TLShandshaketimeout2.报错原因：docker使用的镜像网址默认为国外，下载容易超时，需要修改成国内镜像地址（首先阿里