Ambari HDP 下 SPARK2 与 Phoenix 整合

1、环境说明

操作系统	CentOS Linux release 7.4.1708 (Core)
Ambari	2.6.x
HDP	2.6.3.0
Spark	2.x
Phoenix	4.10.0-HBase-1.2

2、条件

1. HBase 安装完成

2. Phoenix 已经启用，Ambari界面如下所示：

3. Spark 2安装完成

3、Spark2 与 Phoenix整合

Phoenix 官网整合教程： http://phoenix.apache.org/phoenix_spark.html

步骤：

1. 进入 Ambari Spark2 配置界面

2. 找到自定义 spark2-defaults并添加如下配置项：

   spark.driver.extraClassPath=/usr/hdp/current/phoenix-client/phoenix-4.10.0-HBase-1.2-client.jar
   spark.executor.extraClassPath=/usr/hdp/current/phoenix-client/phoenix-4.10.0-HBase-1.2-client.jar
   

   mark

4、Yarn HA 问题

如果配置了Yarn HA, 则需要修改 Yarn HA 配置，否则spark-submit提交任务会报如下错误：

Exception in thread "main" java.lang.IllegalAccessError: tried to access method org.apache.hadoop.yarn.client.ConfiguredRMFailoverProxyProvider.getProxyInternal()Ljava/lang/Object; from class org.apache.hadoop.yarn.client.RequestHedgingRMFailoverProxyProvider
        at org.apache.hadoop.yarn.client.RequestHedgingRMFailoverProxyProvider.init(RequestHedgingRMFailoverProxyProvider.java:75)
        at org.apache.hadoop.yarn.client.RMProxy.createRMFailoverProxyProvider(RMProxy.java:163)
        at org.apache.hadoop.yarn.client.RMProxy.createRMProxy(RMProxy.java:94)
        at org.apache.hadoop.yarn.client.ClientRMProxy.createRMProxy(ClientRMProxy.java:72)
        at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.serviceStart(YarnClientImpl.java:187)
        at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
        at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:153)
        at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
        at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:173)
        at org.apache.spark.SparkContext.(SparkContext.scala:509)
        at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2516)
        at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:922)
        at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:914)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:914)
        at cn.spark.sxt.SparkOnPhoenix$.main(SparkOnPhoenix.scala:13)
        at cn.spark.sxt.SparkOnPhoenix.main(SparkOnPhoenix.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.i

修改Yarn HA配置：

将原来的配置:

yarn.client.failover-proxy-provider=org.apache.hadoop.yarn.client.RequestHedgingRMFailoverProxyProvider

改为现在的配置：

yarn.client.failover-proxy-provider=org.apache.hadoop.yarn.client.ConfiguredRMFailoverProxyProvider

如果没有配置 Yarn HA, 则不需要进行此步配置

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