- html - 出于某种原因,IE8 对我的 Sass 文件中继承的 html5 CSS 不友好?
- JMeter 在响应断言中使用 span 标签的问题
- html - 在 :hover and :active? 上具有不同效果的 CSS 动画
- html - 相对于居中的 html 内容固定的 CSS 重复背景?
我在s3:// aws-publicdatasets / common-crawl / parse-output / segment / 1346876860819 / metadata-XXXX数据集上运行页面排名。当我在2个m1.medium中使用10个文件(大约1GB)时,该程序可以工作,但是当我在5个m3.xlarge实例中使用300个文件(20GB)时,它在映射39%时失败,减少4%。您能否找到失败的可能原因?
这是日志。
stderr:
AttemptID:attempt_1411372099942_0001_m_000010_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000014_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000015_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000057_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000103_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000094_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000109_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000108_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000133_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000136_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000010_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000151_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000014_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000168_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000167_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000015_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000174_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000175_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000057_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000181_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000182_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000190_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000103_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000109_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000094_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000200_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000108_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000133_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000199_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000136_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000010_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000151_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000206_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000207_0 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000014_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000168_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000175_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000167_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000174_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000015_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000057_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000181_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000182_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000190_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000103_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000094_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000200_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000109_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000108_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000133_2 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000199_1 Timed out after 600 secs
AttemptID:attempt_1411372099942_0001_m_000136_2 Timed out after 600 secs
part of syslog:
08:24:24,791 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000168_1, Status : FAILED
2014-09-22 08:24:46,873 INFO org.apache.hadoop.mapreduce.Job (main): map 39% reduce 4%
2014-09-22 08:24:54,903 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000175_1, Status : FAILED
2014-09-22 08:24:54,904 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000167_1, Status : FAILED
2014-09-22 08:24:54,904 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000174_1, Status : FAILED
2014-09-22 08:24:55,908 INFO org.apache.hadoop.mapreduce.Job (main): map 38% reduce 4%
2014-09-22 08:25:13,968 INFO org.apache.hadoop.mapreduce.Job (main): map 39% reduce 4%
2014-09-22 08:25:25,007 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000015_2, Status : FAILED
2014-09-22 08:26:24,210 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000057_2, Status : FAILED
2014-09-22 08:26:54,322 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000181_1, Status : FAILED
2014-09-22 08:27:24,432 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000182_1, Status : FAILED
2014-09-22 08:27:25,435 INFO org.apache.hadoop.mapreduce.Job (main): map 38% reduce 4%
2014-09-22 08:27:54,543 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000190_1, Status : FAILED
2014-09-22 08:28:54,751 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000103_2, Status : FAILED
2014-09-22 08:29:24,851 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000094_2, Status : FAILED
2014-09-22 08:29:24,852 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000200_1, Status : FAILED
2014-09-22 08:29:24,853 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000109_2, Status : FAILED
2014-09-22 08:29:48,931 INFO org.apache.hadoop.mapreduce.Job (main): map 39% reduce 4%
2014-09-22 08:29:54,954 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000108_2, Status : FAILED
2014-09-22 08:30:24,066 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000133_2, Status : FAILED
2014-09-22 08:32:54,599 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000199_1, Status : FAILED
2014-09-22 08:32:54,600 INFO org.apache.hadoop.mapreduce.Job (main): Task Id : attempt_1411372099942_0001_m_000136_2, Status : FAILED
2014-09-22 08:34:25,910 INFO org.apache.hadoop.mapreduce.Job (main): map 100% reduce 100%
2014-09-22 08:34:25,915 INFO org.apache.hadoop.mapreduce.Job (main): Job job_1411372099942_0001 failed with state FAILED due to: Task failed task_1411372099942_0001_m_000010
Job failed as tasks failed. failedMaps:1 failedReduces:0
Attempts for: s-1W7C8YIFC87Y8, Job 1411372099942_0001, Task
2014-09-22 08:18:27,238 WARN main org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
2014-09-22 08:18:27,322 WARN main org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
2014-09-22 08:18:28,462 INFO main org.apache.hadoop.metrics2.impl.MetricsConfig: loaded properties from hadoop-metrics2.properties
2014-09-22 08:18:28,496 INFO main org.apache.hadoop.metrics2.sink.cloudwatch.CloudWatchSink: Initializing the CloudWatchSink for metrics.
2014-09-22 08:18:28,795 INFO main org.apache.hadoop.metrics2.impl.MetricsSinkAdapter: Sink file started
2014-09-22 08:18:28,967 INFO main org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Scheduled snapshot period at 300 second(s).
2014-09-22 08:18:28,967 INFO main org.apache.hadoop.metrics2.impl.MetricsSystemImpl: MapTask metrics system started
2014-09-22 08:18:28,982 INFO main org.apache.hadoop.mapred.YarnChild: Executing with tokens:
2014-09-22 08:18:28,983 INFO main org.apache.hadoop.mapred.YarnChild: Kind: mapreduce.job, Service: job_1411372099942_0001, Ident: (org.apache.hadoop.mapreduce.security.token.JobTokenIdentifier@3fc15856)
2014-09-22 08:18:29,157 INFO main org.apache.hadoop.mapred.YarnChild: Sleeping for 0ms before retrying again. Got null now.
2014-09-22 08:18:29,880 INFO main org.apache.hadoop.mapred.YarnChild: mapreduce.cluster.local.dir for child: /mnt/var/lib/hadoop/tmp/nm-local-dir/usercache/hadoop/appcache/application_1411372099942_0001,/mnt1/var/lib/hadoop/tmp/nm-local-dir/usercache/hadoop/appcache/application_1411372099942_0001,/mnt2/var/lib/hadoop/tmp/nm-local-dir/usercache/hadoop/appcache/application_1411372099942_0001
2014-09-22 08:18:30,164 WARN main org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
2014-09-22 08:18:30,182 WARN main org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
2014-09-22 08:18:31,063 INFO main org.apache.hadoop.conf.Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id
2014-09-22 08:18:32,100 INFO main org.apache.hadoop.mapred.Task: Using ResourceCalculatorProcessTree : [ ]
2014-09-22 08:18:32,605 INFO main org.apache.hadoop.mapred.MapTask: Processing split: s3://aws-publicdatasets/common-crawl/parse-output/segment/1346876860819/metadata-00122:0+67108864
2014-09-22 08:18:32,810 INFO main amazon.emr.metrics.MetricsSaver: MetricsSaver YarnChild root:hdfs:///mnt/var/em/ period:120 instanceId:i-ec84e7c1 jobflow:j-27XODJ8WMW4VP
2014-09-22 08:18:33,205 WARN main org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
2014-09-22 08:18:33,219 WARN main org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
2014-09-22 08:18:33,221 INFO main com.amazon.ws.emr.hadoop.fs.guice.EmrFSBaseModule: Consistency disabled, using com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem as FileSystem implementation.
2014-09-22 08:18:35,024 INFO main com.amazon.ws.emr.hadoop.fs.EmrFileSystem: Using com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem as filesystem implementation
2014-09-22 08:18:36,001 WARN main org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
2014-09-22 08:18:36,002 WARN main org.apache.hadoop.conf.Configuration: job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
2014-09-22 08:18:36,024 INFO main org.apache.hadoop.mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
2014-09-22 08:18:36,514 INFO main org.apache.hadoop.mapred.MapTask: (EQUATOR) 0 kvi 52428796(209715184)
2014-09-22 08:18:36,514 INFO main org.apache.hadoop.mapred.MapTask: mapreduce.task.io.sort.mb: 200
2014-09-22 08:18:36,514 INFO main org.apache.hadoop.mapred.MapTask: soft limit at 167772160
2014-09-22 08:18:36,514 INFO main org.apache.hadoop.mapred.MapTask: bufstart = 0; bufvoid = 209715200
2014-09-22 08:18:36,514 INFO main org.apache.hadoop.mapred.MapTask: kvstart = 52428796; length = 13107200
2014-09-22 08:18:36,597 INFO main com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem: Opening 's3://aws-publicdatasets/common-crawl/parse-output/segment/1346876860819/metadata-00122' for reading
2014-09-22 08:18:36,716 INFO main org.apache.hadoop.io.compress.zlib.ZlibFactory: Successfully loaded & initialized native-zlib library
2014-09-22 08:18:36,720 INFO main org.apache.hadoop.io.compress.CodecPool: Got brand-new decompressor ht t p: //. gz
2014-09-22 08:18:36,726 INFO main org.apache.hadoop.io.compress.CodecPool: Got brand-new decompressor
2014-09-22 08:18:36,726 INFO main org.apache.hadoop.io.compress.CodecPool: Got brand-new decompressor
2014-09-22 08:18:36,727 INFO main org.apache.hadoop.io.compress.CodecPool: Got brand-new decompressor
Edited by: paraxx on Sep 22, 2014 10:25 AM
最佳答案
task_1411372099942_0001_m_000010超时。尝试增加超时配置参数。
mapreduce.task.timeout=12000000
关于hadoop - 当我在AWS上运行map()时某些任务失败,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/25983963/
Task.WaitAll 方法等待所有任务,Task.WaitAny 方法等待一个任务。如何等待任意N个任务? 用例:下载搜索结果页面,每个结果都需要一个单独的任务来下载和处理。如果我使用 WaitA
我正在查看一些像这样的遗留 C# 代码: await Task.Run(() => { _logger.LogException(LogLevel.Error, mes
如何在 Linux 中运行 cron 任务? 关注此Q&A ,我有这个 cron 任务要运行 - 只是将一些信息写入 txt 文件, // /var/www/cron.php $myfile = fo
原谅我的新手问题,但我想按顺序执行三个任务并在剧本中使用两个角色: 任务 角色 任务 角色 任务 这是我到目前为止(任务,角色,任务): --- - name: Task Role Task ho
我有一个依赖于 installDist 的自定义任务 - 不仅用于执行,还依赖于 installDist 输出: project.task('run', type: JavaExec, depends
从使用 Wix 创建的 MSI 运行卸载时,我需要在尝试删除任何文件之前强行终止在后台运行的进程。主要应用程序由一个托盘图标组成,它反射(reflect)了 bg 进程监控本地 Windows 服务的
我想编写 Ant 任务来自动执行启动服务器的任务,然后使用我的应用程序的 URL 打开 Internet Explorer。 显然我必须执行 startServer先任务,然后 startApplic
使用 ASP.NET 4.5,我正在尝试使用新的 async/await 玩具。我有一个 IDataReader 实现类,它包装了一个特定于供应商的阅读器(如 SqlDatareader)。我有一个简
使用命令 gradle tasks可以得到一份所有可用任务的报告。有什么方法可以向此命令添加参数并按任务组过滤任务。 我想发出类似 gradle tasks group:Demo 的命令筛选所有任务并
除了sshexec,还有什么办法吗?任务要做到这一点?我知道您可以使用 scp 复制文件任务。但是,我需要执行其他操作,例如检查是否存在某些文件夹,然后将其删除。我想使用类似 condition 的东
假设我有字符串 - "D:\ApEx_Schema\Functions\new.sql@@\main\ONEVIEW_Integration\3" 我需要将以下内容提取到 diff 变量中 - 文档名
我需要编写一个 ant 任务来确定某个文件是否是只读的,如果是,则失败。我想避免使用自定义选择器来为我们的构建系统的性质做这件事。任何人都有任何想法如何去做?我正在使用 ant 1.8 + ant-c
这是一个相当普遍的计算机科学问题,并不特定于任何操作系统或框架。 因此,我对与在线程池上切换任务相关的开销感到有些困惑。在许多情况下,给每个作业分配自己的特定线程是没有意义的(我们不想创建太多硬件线程
我正在使用以下 Ansible playbook 一次性关闭远程 Ubuntu 主机列表: - hosts: my_hosts become: yes remote_user: my_user
如何更改 Ant 中的当前工作目录? Ant documentation没有 任务,在我看来,最好的做法是不要更改当前工作目录。 但让我们假设我们仍然想这样做——你会如何做到这一点?谢谢! 最佳答案
是否可以运行 cronjob每三天一次?或者也许每月 10 次。 最佳答案 每三天运行一次 - 或更短时间在月底运行一次。 (如果上个月有 31 天,它将连续运行 2 天。) 0 0 */3 * *
如何在 Gradle 任务中执行托管在存储库中的工具? 在我的具体情况下,我正在使用 Gradle 构建一个 Android 应用程序。我添加了一项任务,将一些 protobuf 数据从文本编码为二进
我的项目有下一个结构: Root |- A |- C (depends on A) \- B (depends on A) 对于所有子项目,我们使用自己的插件生成资源:https://githu
我设置了一个具有4个节点的Hadoop群集,其中一个充当HDFS的NameNode以及Yarn主节点。该节点也是最强大的。 现在,我分发了2个文本文件,一个在node01(名称节点)上,一个在node
在 TFS 2010 中为多个用户存储任务的最佳方式是什么?我只能为一项任务分配一个。 (例如:当我计划向所有开发人员演示时) (这是一个 Scrum Msf 敏捷项目,其中任务是用户故事的一部分)
我是一名优秀的程序员,十分优秀!