我嘗試在Spring Cloud Data for Yarn上運行簡單的彈簧批處理任務。可惜的是在運行它,我在ResourceManager的UI得到錯誤信息:彈簧數據流紗線 - 無法訪問jarfile
Application application_1473838120587_5156 failed 1 times due to AM Container for appattempt_1473838120587_5156_000001 exited with exitCode: 1
For more detailed output, check application tracking page:http://ip-10-249-9-50.gc.stepstone.com:8088/cluster/app/application_1473838120587_5156Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1473838120587_5156_01_000001
Exit code: 1
Stack trace: ExitCodeException exitCode=1:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:545)
at org.apache.hadoop.util.Shell.run(Shell.java:456)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:722)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Container exited with a non-zero exit code 1
Failing this attempt. Failing the application.
更多來自Appmaster.stderror信息指出:
Log Type: Appmaster.stderr
Log Upload Time: Mon Nov 07 12:59:57 +0000 2016
Log Length: 106
Error: Unable to access jarfile spring-cloud-deployer-yarn-tasklauncherappmaster-1.0.0.BUILD-SNAPSHOT.jar
如果涉及到春季雲數據流量我試圖運行dataflow-shell:
app register --type task --name simple_batch_job --uri https://github.com/spring-cloud/spring-cloud-dataflow-samples/raw/master/tasks/simple-batch-job/batch-job-1.0.0.BUILD-SNAPSHOT.jar
task create foo --definition "simple_batch_job"
task launch foo
其實很難知道爲什麼會出現這個錯誤。我確信從數據流服務器到紗線的連接工作正常,因爲在標準的HDFS本地化(/數據流)中,一些文件被複制(servers.yml,帶有作業和實用程序的jar),但在某些方面無法訪問。
我servers.yml配置:
logging:
level:
org.apache.hadoop: DEBUG
org.springframework.yarn: DEBUG
maven:
remoteRepositories:
springRepo:
url: https://repo.spring.io/libs-snapshot
spring:
main:
show_banner: false
hadoop:
fsUri: hdfs://HOST:8020
resourceManagerHost: HOST
resourceManagerPort: 8032
resourceManagerSchedulerAddress: HOST:8030
datasource:
url: jdbc:h2:tcp://localhost:19092/mem:dataflow
username: sa
password:
driverClassName: org.h2.Driver
我會很高興聽到任何信息或彈簧絲提示&技巧,使這項工作。
PS:由於Hadoop的環境中我使用Amazon EMR 5.0
編輯:遞歸路徑從HDFS:
drwxrwxrwx - user hadoop 0 2016-11-07 15:02 /dataflow/apps
drwxrwxrwx - user hadoop 0 2016-11-07 15:02 /dataflow/apps/stream
drwxrwxrwx - user hadoop 0 2016-11-07 15:04 /dataflow/apps/stream/app
-rwxrwxrwx 3 user hadoop 121 2016-11-07 15:05 /dataflow/apps/stream/app/application.properties
-rwxrwxrwx 3 user hadoop 1177 2016-11-07 15:04 /dataflow/apps/stream/app/servers.yml
-rwxrwxrwx 3 user hadoop 60202852 2016-11-07 15:04 /dataflow/apps/stream/app/spring-cloud-deployer-yarn-appdeployerappmaster-1.0.0.RELEASE.jar
drwxrwxrwx - user hadoop 0 2016-11-04 14:22 /dataflow/apps/task
drwxrwxrwx - user hadoop 0 2016-11-04 14:24 /dataflow/apps/task/app
-rwxrwxrwx 3 user hadoop 121 2016-11-04 14:25 /dataflow/apps/task/app/application.properties
-rwxrwxrwx 3 user hadoop 2101 2016-11-04 14:24 /dataflow/apps/task/app/servers.yml
-rwxrwxrwx 3 user hadoop 60198804 2016-11-04 14:24 /dataflow/apps/task/app/spring-cloud-deployer-yarn-tasklauncherappmaster-1.0.0.RELEASE.jar
drwxrwxrwx - user hadoop 0 2016-11-04 14:25 /dataflow/artifacts
drwxrwxrwx - user hadoop 0 2016-11-07 15:06 /dataflow/artifacts/cache
-rwxrwxrwx 3 user hadoop 12323493 2016-11-04 14:25 /dataflow/artifacts/cache/https-c84ea9dc0103a4754aeb9a28bbc7a4f33c835854-batch-job-1.0.0.BUILD-SNAPSHOT.jar
-rwxrwxrwx 3 user hadoop 22139318 2016-11-07 15:07 /dataflow/artifacts/cache/log-sink-rabbit-1.0.0.BUILD-SNAPSHOT.jar
-rwxrwxrwx 3 user hadoop 12590921 2016-11-07 12:59 /dataflow/artifacts/cache/timestamp-task-1.0.0.BUILD-SNAPSHOT.jar
那麼你首先可以檢查hdfs中的「/ dataflow」dir是否存在,如果存在,那麼它將遞歸地記錄哪些文件。如果沒有,用戶是否有權創建該目錄。 –
HDFS中有一個/ dataflow目錄,所有的設置和jar文件都被複制到那裏(包括spring-cloud-deployer-yarn-tasklauncherappmaster-1.0.0.BUILD-SNAPSHOT.jar)。數據流目錄已完全訪問(777) – Ragnar
您可以將完全遞歸的'/ dataflow'目錄列表添加到問題中。看起來像appmaster jar沒有被本地化到一個容器中,所以有些事情是錯誤的,那些hdfs中的文件首先是可疑的。 –