Question

基本上，我想将Flink定制JAR文件部署到新的AWS EMR集群。这是我所做的摘要。我创建了一个新的AWS EMR集群。

第一步：软件和步骤更改-
- 创建了一个以flink为服务的AWS EMR集群。（EMR发行版本-5.17.0），然后单击Flink 1.5.2作为软件配置。
- 输入配置JSON：-
  
  [ { “分类”：“ flink-conf”， “属性”：{ “ jobmanager.heap.mb”：“ 3072”， “ taskmanager.heap.mb”：“ 51200”， “ taskmanager.numberOfTaskSlots”：“ 2”， “ taskmanager.memory.preallocate”：“ false”，
  “ parallelism.default”：“ 1” } ]
步骤2：硬件-硬件配置没有变化。默认情况下，我们有1个主实例，2个核心实例和0个Task实例。都是m3.xlarge类型。
第3步：常规群集设置-此处无更改。
Step4：安全-提供了我的EC2密钥对。

准备好创建集群后，我会通过SSH连接到EC2计算机并尝试部署自定义jar文件。以下是我每次尝试通过CLI进行部署时遇到的不同错误。

1）

flink run -m yarn-cluster -yn 2 -c com.deepak.flink.examples.WordCount flink-examples-assembly-1.0.jar

Using the result of 'hadoop classpath' to augment the Hadoop classpath: /etc/hadoop/conf:/usr/lib/hadoop/lib/*:/usr/lib/hadoop/.//*:/usr/lib/hadoop-hdfs/./:/usr/lib/hadoop-hdfs/lib/*:/usr/lib/hadoop-hdfs/.//*:/usr/lib/hadoop-yarn/lib/*:/usr/lib/hadoop-yarn/.//*:/usr/lib/hadoop-mapreduce/lib/*:/usr/lib/hadoop-mapreduce/.//*::/usr/lib/hadoop-lzo/lib/*:/usr/share/aws/aws-java-sdk/*:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib/*:/usr/share/aws/emr/emrfs/auxlib/*:/usr/share/aws/emr/cloudwatch-sink/lib/*:/usr/share/aws/emr/security/conf:/usr/share/aws/emr/security/lib/*
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/lib/flink/lib/slf4j-log4j12-1.7.7.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hadoop/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
2018-10-09 06:30:36,766 INFO  org.apache.hadoop.yarn.client.RMProxy                         - Connecting to ResourceManager at ip-IPADDRESS.ec2.internal/IPADDRESS:8032
2018-10-09 06:30:36,909 INFO  org.apache.flink.yarn.cli.FlinkYarnSessionCli                 - No path for the flink jar passed. Using the location of class org.apache.flink.yarn.YarnClusterDescriptor to locate the jar
2018-10-09 06:30:37,168 INFO  org.apache.flink.yarn.AbstractYarnClusterDescriptor           - Killing YARN application

2）

flink运行-c com.deepak.flink.examples.WordCount flink-examples-assembly-1.0.jar

Using the result of 'hadoop classpath' to augment the Hadoop classpath: /etc/hadoop/conf:/usr/lib/hadoop/lib/*:/usr/lib/hadoop/.//*:/usr/lib/hadoop-hdfs/./:/usr/lib/hadoop-hdfs/lib/*:/usr/lib/hadoop-hdfs/.//*:/usr/lib/hadoop-yarn/lib/*:/usr/lib/hadoop-yarn/.//*:/usr/lib/hadoop-mapreduce/lib/*:/usr/lib/hadoop-mapreduce/.//*::/usr/lib/hadoop-lzo/lib/*:/usr/share/aws/aws-java-sdk/*:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib/*:/usr/share/aws/emr/emrfs/auxlib/*:/usr/share/aws/emr/cloudwatch-sink/lib/*:/usr/share/aws/emr/security/conf:/usr/share/aws/emr/security/lib/*
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/lib/flink/lib/slf4j-log4j12-1.7.7.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hadoop/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]

------------------------------------------------------------
 The program finished with the following exception:

org.apache.flink.client.deployment.ClusterRetrieveException: Couldn't retrieve standalone cluster
    at org.apache.flink.client.deployment.StandaloneClusterDescriptor.retrieve(StandaloneClusterDescriptor.java:51)
    at org.apache.flink.client.deployment.StandaloneClusterDescriptor.retrieve(StandaloneClusterDescriptor.java:31)
    at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:253)
    at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:214)
    at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1025)
    at org.apache.flink.client.cli.CliFrontend.lambda$main$9(CliFrontend.java:1101)
    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:1840)
    at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
    at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1101)
Caused by: org.apache.flink.util.ConfigurationException: Config parameter 'Key: 'jobmanager.rpc.address' , default: null (deprecated keys: [])' is missing (hostname/address of JobManager to connect to).
    at org.apache.flink.runtime.highavailability.HighAvailabilityServicesUtils.getJobManagerAddress(HighAvailabilityServicesUtils.java:141)
    at org.apache.flink.runtime.highavailability.HighAvailabilityServicesUtils.createHighAvailabilityServices(HighAvailabilityServicesUtils.java:81)
    at org.apache.flink.client.program.ClusterClient.<init>(ClusterClient.java:158)
    at org.apache.flink.client.program.rest.RestClusterClient.<init>(RestClusterClient.java:183)
    at org.apache.flink.client.program.rest.RestClusterClient.<init>(RestClusterClient.java:156)
    at org.apache.flink.client.deployment.StandaloneClusterDescriptor.retrieve(StandaloneClusterDescriptor.java:49)
    ... 10 more

即使我尝试通过AWS Web UI进行部署，jar也无法部署。

因此，基本上，我想将自定义JAR部署到flink YARN群集。我不确定YARN flink配置或其他方面缺少什么。感谢您的任何提前帮助。

Answer 1

您应减少任务管理器的内存分配。当前，您正在尝试分配51.2G的内存，而一台m3.xlarge机器仅具有15G的内存，而对于2台机器的群集总共有30G的内存。

在AWS EMR

1 个答案: