Ambari HDP 下 SPARK2 與 Phoenix 整合

一、環境說明

操做系統	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

二、條件

1. HBase 安裝完成
2. Phoenix 已經啓用，Ambari界面以下所示：

   

3. Spark 2安裝完成

三、Spark2 與 Phoenix整合

Phoenix 官網整合教程： http://phoenix.apache.org/pho...

步驟：

1. 進入 Ambari Spark2 配置界面

   

2. 找到自定義 spark2-defaults並添加以下配置項：

   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

   

四、Yarn HA 問題

若是配置了Yarn HA, 則須要修改 Yarn HA 配置，不然spark-submit提交任務會報以下錯誤：

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.<init>(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：

將原來的配置:

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

改成如今的配置：

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

若是沒有配置 Yarn HA, 則不須要進行此步配置

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