Oozie 提交Spark On Yarn示例

大家好，我是crazy_老中医，我写程序就像老中医一样，全屏感觉和经验，但是有用！

废话不多说，现在开始正文，本文将阐述如何将一个Spark程序通过oozie提交到hadoop的Yarn上运行。

准备工作

集群规划

	hdp-master	hdp-slave1	hdp-slave2
hadoop	NameNode DataNode SecondaryNameNode ResourceManager NodeManager	DataNode NodeManager	DataNode NodeManager
oozie	Y	N	N
spark	Master Worker	Worker	Worker

hadoop2.6.0

安装路径：

/opt/hadoop-2.6.0

环境变量：

export HADOOP_HOME=/opt/hadoop-2.6.0

export PATH=$PATH:$HADOOP_HOME/bin

export HADOOP_CONF_DIR=/opt/hadoop-2.6.0/etc/hadoop

启动hadoop：

$:cd /opt/hadoop-2.6.0

$:./sbin/start-dfs.sh

$:./sbin/start-yarn.sh

启动成功：

通过jps可看到集群规划中的相关进程。

oozie4.2.0

安装路径：

/opt/oozie-4.2.0

环境变量：

export OOZIE_HOME=/opt/oozie-4.2.0
export PATH=$PATH:$OOZIE_HOME/bin

启动oozie：

$:cd /opt/oozie-4.2.0

$:./bin/oozied.sh start

spark1.4.1

安装路径：

/opt/spark-1.4.1-bin-hadoop2.6

环境变量：

export SPARK_HOME=/opt/spark-1.4.1-bin-hadoop2.6
export PATH=$PATH:$SPARK_HOME/bin

启动spark：

$:cd /opt/spark-1.4.1-bin-hadoop2.6

$:./sbin/start-all.sh

启动成功：

通过jps可看到集群规划中的相关进程。

主节点jps截图

分节点jps截图

编写Spark程序

目的

这里用的是tomcat产生的access日志文件，日志格式如下：

118.118.118.30 - - [15/Jun/2016:18:34:19 +0800] "GET /WebAnalytics/js/ds.js?v=3 HTTP/1.1" 304 -
118.118.118.30 - - [15/Jun/2016:18:34:19 +0800] "GET /WebAnalytics/maindomain? HTTP/1.1" 200 3198
118.118.118.30 - - [15/Jun/2016:18:34:19 +0800] "GET /WebAnalytics/tracker/1.0/tpv? HTTP/1.1" 200 631
118.118.118.30 - - [15/Jun/2016:18:34:22 +0800] "GET /WebAnalytics/tracker/1.0/bind? HTTP/1.1" 200 631
118.118.118.30 - - [15/Jun/2016:18:34:46 +0800] "GET /WebAnalytics/js/ds.js?v=3 HTTP/1.1" 304 -

对日志中ip进行统计，统计结果如下图：

详细代码

package com.simple.spark.oozie.action;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import scala.Tuple2;

/**
 * Created by Administrator on 2016/8/25.
 */
public class OozieAction {
    public static void main(String[] args){
        String input = args[0];
        String output = args[1];
        String master = "local[*]";
        if(args.length >= 3){
            master = args[2];
        }

        SparkConf sparkConf = new SparkConf();
        sparkConf.setAppName("OozieAction - " + System.currentTimeMillis());
        if(!"none".equals(master))
            sparkConf.setMaster(master);
        JavaSparkContext context = new JavaSparkContext(sparkConf);
        JavaRDD stringJavaRDD = context.textFile(input);
        stringJavaRDD.mapToPair(new PairFunction() {
            public Tuple2 call(String s) throws Exception {
                String key = s.split(" ")[0];
                return new Tuple2(key, 1);
            }
        }).reduceByKey(new Function2() {
            public Integer call(Integer v1, Integer v2) throws Exception {
                return v1 + v2;
            }
        }).saveAsTextFile(output);
        context.close();
    }
}

Oozie工作流

示例工作流只有一个spark节点，节点工作流配置参照： http://oozie.apache.org/docs/4.2.0/DG_SparkActionExtension.html#Spark_on_YARN

workflow.xml

    
    
        Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]
    
    
        
			${jobTracker}
			${nameNode}
			${jobmaster}
			${jobmode}
			${jobname}
			${jarclass}
			${jarpath}
			${sparkopts}
			${jararg1}
			${jararg2}
			${jararg3}
        
        
        
    
    

job.properties

oozie.use.system.libpath=True
oozie.wf.application.path=/user/root/oozie/t1/workflow.xml
security_enabled=False
dryrun=False
jobTracker=hdp-master:8032
nameNode=hdfs://hdp-master:8020
jobmaster=yarn-cluster
jobmode=cluster
jobname=SparkOozieAction
jarclass=com.simple.spark.oozie.action.OozieAction
jarpath=hdfs://hdp-master:8020/user/root/oozie/t1/SparkOozieAction-jar-with-dependencies.jar
sparkopts=--executor-memory 128M --total-executor-cores 2 --driver-memory 256M --conf spark.yarn.jar=hdfs://hdp-master:8020/system/spark/lib/spark-assembly-1.4.1-hadoop2.6.0.jar --conf spark.yarn.historyServer.address=http://hdp-master:18088 --conf spark.eventLog.dir=hdfs://hdp-master:8020/user/spark/applicationHistory --conf spark.eventLog.enabled=true
jararg1=/data/access_log.txt
jararg2=/out/oozie/t1
jararg3=cluster

本文重点：oozie spark on yarn官方文档有说明，要提交spark到yarn上，需要配置以下属性

1.确保spark-assembly-1.4.1-hadoop2.6.0.jar在oozie中可用，这个我理解了很久都没有参透，后面查阅相关文章后才知道，这里的意思是在提交任务时指定要应用的jar包，本文通过spark-opts参数--conf spark.yarn.jar=hdfs://hdp-master:8020/system/spark/lib/spark-assembly-1.4.1-hadoop2.6.0.jar指定。

2.master只能指定为yarn-client或者yarn-cluster，本文为：yarn-cluster

3. spark.yarn.historyServer.address=http://SPH-HOST:18088

4. spark.eventLog.dir=hdfs://NN:8020/user/spark/applicationHistory 这里的目录

必须事先创建好，spark会提示这个目录不存在的错误

5. spark.eventLog.enabled=true

提交workflow.xml到hdfs

$:hadoop fs -put /user/root/oozie/t1/workflow.xml

提交spark引用jar到hdfs

$:hadoop fs -put /user/root/oozie/t1/SparkOozieAction-jar-with-dependencies.jar

创建spark.eventLog.dir目录

hadoop fs -mkdir put /user/spark/applicationHistory

提交程序jar包到hdfs

hadoop fs -put /user/root/oozie/t1/SparkOozieAction-jar-with-dependencies.jar

提交程序到oozie

$:cd /opt/oozie-4.2.0
$:./bin/oozie job -oozie http://hdp-master:11000/oozie -config /opt/myapps/spark/t1/job.properties -run

到oozie UI界面查看任务情况

http://hdp-master:11000/oozie/

到yarn UI查看spark在yarn上的运行情况

至此，spark 通过oozie提交到hadoop yarn上完毕。

谢谢！