在 AWS EMR 中部署 Flink 自定义 JAR 文件时出错

Question

基本上我想将 Flink 自定义 JAR 文件部署到新的 AWS EMR 集群。这是我所做的总结。我创建了一个新的 AWS EMR 集群。

• Step1：软件和步骤变化-

  • 创建了一个以 flink 作为服务的 AWS EMR 集群。 （EMR 发布版本 - 5.17.0）并点击 Flink 1.5.2 作为软件配置。

  • 输入配置 JSON：-

    [ { "分类": "flink-conf", “特性”： { “jobmanager.heap.mb”：“3072”， “taskmanager.heap.mb”：“51200”， "taskmanager.numberOfTaskSlots":"2", "taskmanager.memory.preallocate": "false",
    “并行性。默认值”：“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 个任务实例。都是 m3.xlarge 类型。

• 第 3 步：常规集群设置 - 此处没有更改。
• 第 4 步：安全性 - 提供我的 EC2 密钥对。

集群创建完成后，我通过 SSH 连接到 EC2 机器并尝试部署自定义 jar 文件。以下是我每次尝试通过 CLI 部署它时遇到的不同错误。

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 run -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。

所以，基本上我想将自定义 JAR 部署到 flink YARN 集群。我不确定 YARN flink 配置或其他任何东西缺少什么。提前感谢您的帮助。

Answer 1

您应该减少任务管理器的内存分配。目前，您正在尝试分配 51.2G 的内存，而单个 m3.xlarge 机器只有 15G 的内存，而 2 台机器集群总共需要 30G。