Flink-1.8 在 Hadoop yarn cluster 的坑_flink could not identity hostname and port in 'yar

Flink1.8版本相比1.7在打包和jar包拆分上作出些许调整，对使用者有一定影响；如下是在使用flink-1.8 on hdp yarn时踩的两个小坑

操作步骤

直接从官网上下载安装flink安装包flink-1.8.1-bin-scala_2.12.tgz，解压后，使用如下命令提交作业：

./bin/flink run -m yarn-cluster ./examples/batch/WordCount.jar

坑一

作业会抛出异常：

Could not identify hostname and port in 'yarn-cluster'

原因：

Flink1.8中，FIX了FLINK-11266,将flink的包中对hadoop版本进行了剔除，导致flink中直接缺少hadoop的client相关类，无法解析yarn-cluster参数。

方法：

参考官方文档（这里）。

1. 执行命令前，导入hadoop的classpath

export HADOOP_CLASSPATH=`hadoop classpath`

    2. 在bin/config.sh添加如下语句，导入hadoop的classpath

export HADOOP_CLASSPATH=`hadoop classpath`

   3. 下载官方预编译的hadoop相关的jar包

      下载时，选择对应的hadoop版本， 我自己用的是   flink-shaded-hadoop-2-uber-2.8.3-7.0.jar。

    然后把这个包拷贝到你的flink安装目录下的 lib 目录下面。  我的lib目录下就有这些jar.

[root@sltuenym6bh lib]# ll
total 128280
-rw-r--r-- 1  502 games 87382386 Jun 25 16:00 flink-dist_2.12-1.8.1.jar
-rw-r--r-- 1 root root  43467085 Aug 25 02:06 flink-shaded-hadoop-2-uber-2.8.3-7.0.jar
-rw-r--r-- 1  502 games   489884 May 30 10:26 log4j-1.2.17.jar
-rw-r--r-- 1  502 games     9931 May 30 10:26 slf4j-log4j12-1.7.15.jar

   4. 再运行

# ./bin/flink run -m yarn-cluster ./examples/batch/WordCount.ja

输出结果如下： 

SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/tanghb2/flink/flink-1.8.1/lib/slf4j-log4j12-1.7.15.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/CDH-6.1.0-1.cdh6.1.0.p0.770702/jars/slf4j-log4j12-1.7.25.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]
2019-08-25 02:20:52,898 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
2019-08-25 02:20:52,898 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
2019-08-25 02:20:53,023 INFO  org.apache.flink.yarn.AbstractYarnClusterDescriptor           - Cluster specification: ClusterSpecification{masterMemoryMB=1024, taskManagerMemoryMB=1024, numberTaskManagers=1, slotsPerTaskManager=1}
2019-08-25 02:20:53,425 WARN  org.apache.flink.yarn.AbstractYarnClusterDescriptor           - The configuration directory ('/home/tanghb2/flink/flink-1.8.1/conf') contains both LOG4J and Logback configuration files. Please delete or rename one of them.
2019-08-25 02:20:54,486 INFO  org.apache.flink.yarn.AbstractYarnClusterDescriptor           - Submitting application master application_1565019835797_0515
2019-08-25 02:20:54,712 INFO  org.apache.hadoop.yarn.client.api.impl.YarnClientImpl         - Submitted application application_1565019835797_0515
2019-08-25 02:20:54,713 INFO  org.apache.flink.yarn.AbstractYarnClusterDescriptor           - Waiting for the cluster to be allocated
2019-08-25 02:20:54,714 INFO  org.apache.flink.yarn.AbstractYarnClusterDescriptor           - Deploying cluster, current state ACCEPTED
2019-08-25 02:20:58,751 INFO  org.apache.flink.yarn.AbstractYarnClusterDescriptor           - YARN application has been deployed successfully.
Starting execution of program
Executing WordCount example with default input data set.
Use --input to specify file input.
Printing result to stdout. Use --output to specify output path.
(a,5)
(action,1)
(after,1)
(against,1)
(all,2)

搞定！

坑二

个人没有碰到过。

基于以上第三种方式的作业提交，会抛出如下异常：

    java.lang.NoClassDefFoundError: com/sun/jersey/core/util/FeaturesAndProperties
    at java.lang.ClassLoader.defineClass1(Native Method)
    at java.lang.ClassLoader.defineClass(ClassLoader.java:763)
    at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
    at java.net.URLClassLoader.defineClass(URLClassLoader.java:467)
    at java.net.URLClassLoader.access$100(URLClassLoader.java:73)
    at java.net.URLClassLoader$1.run(URLClassLoader.java:368)
    at java.net.URLClassLoader$1.run(URLClassLoader.java:362)
    at java.security.AccessController.doPrivileged(Native Method)
    at java.net.URLClassLoader.findClass(URLClassLoader.java:361)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at org.apache.hadoop.yarn.client.api.TimelineClient.createTimelineClient(TimelineClient.java:55)
    at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.createTimelineClient(YarnClientImpl.java:181)
    at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.serviceInit(YarnClientImpl.java:168)
    at org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
    at org.apache.flink.yarn.cli.FlinkYarnSessionCli.getClusterDescriptor(FlinkYarnSessionCli.java:1012)
    at org.apache.flink.yarn.cli.FlinkYarnSessionCli.createDescriptor(FlinkYarnSessionCli.java:274)
    at org.apache.flink.yarn.cli.FlinkYarnSessionCli.createClusterDescriptor(FlinkYarnSessionCli.java:454)
    at org.apache.flink.yarn.cli.FlinkYarnSessionCli.createClusterDescriptor(FlinkYarnSessionCli.java:97)
    at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:224)
    at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:213)
    at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1050)
    at org.apache.flink.client.cli.CliFrontend.lambda$main$11(CliFrontend.java:1126)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1754)
    at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
    at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1126)
Caused by: java.lang.ClassNotFoundException: com.sun.jersey.core.util.FeaturesAndProperties
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    ... 29 more

原因：

在yarn的client提交作业时，会调用createTimelineClient，此时由于缺少相关jar包抛出异常，而如果之前有调用export HADOOP_CLASSPATH，则hdp自身的hadoop版本中包含有相关jar包，则可以正常运行。

解决方法：

1. 修改HADOOP_CONF_DIR目录下yarn-site.xml中的yarn.timeline-service.enabled设置为false
2. 创建flink自己的hadoop_conf,copy原有的HADOOP_CONF_DIR中的配置文件至hadoop_conf目录，并在
flink-conf.yaml中设置env.hadoop.conf.dir变量，并指向新创建的hadoop_conf目录。
flink-conf.yaml添加的内容如下：
env.hadoop.conf.dir: /etc/hadoop/conf