Kubernetes的Spark运行Terasort(四)

目的：

Terasort测试Kubernetes平台对于Spark计算过程

前提：

从HDFS读取能力

向HDFS写入能力

shuffle中网络读写能力

 

1:准备工作

获取代码

git clone https://github.com/ehiggs/spark-terasort.git

修改编译配置

指定合适的spark和scala版本

<properties>
  <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
  <scala.version>2.11.8</scala.version>
  <scala.binary.version>2.11</scala.binary.version>
  <spark.version>2.1.1</spark.version>
</properties>

运行

1: 在hdfs建立数据目录

hadoop fs -mkdir /terasort

2:建立spark运行的namespace和权限

admin-role.conf

kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
  name: spark-admin
  annotations:
    rbac.authorization.kubernetes.io/autoupdate: "true"
roleRef:
  kind: ClusterRole
  name: cluster-admin
  apiGroup: rbac.authorization.k8s.io
subjects:
- kind: ServiceAccount
  name: spark-admin
  namespace: spark
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: spark-admin
  namespace: spark
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile

 

建立spark namespace 并绑定cluster-admin role

kubectl create namespace spark

kubectl apply -f admin-role.conf

 

3:运行TeraGen

run_spark_teragen.sh

/root/spark/bin/spark-submit \

--master k8s://https://192.168.0.2:6443 --deploy-mode cluster --name spark-terasort \

--class com.github.ehiggs.spark.terasort.Teragen \ #class地址

--conf spark.kubernetes.namespace=spark \

--conf spark.kubernetes.authenticate.driver.serviceAccountName=spark-admin \

--conf spark.kubernetes.container.image=bigdata/spark:terasort \

--conf spark.eventLog.dir=hdfs://xx.xx.xx.xx:9000/eventLog \

--conf spark.eventLog.enabled=true \

--conf spark.executor.instances=50 \

--conf spark.driver.cores=2 \

--conf spark.driver.memory=8g \

--conf spark.executor.memory=6g \

--conf spark.executor.cores=1 \

--proxy-user hadoop \

local:///opt/spark/examples/jars/spark-terasort-1.1-SNAPSHOT-jar-with-dependencies.jar \

50g \ #数据大小

hdfs://172.2.2.11:9000/terasort/50g_generated ＃数据生成目录

 

4:运行TeraSort

run_spark_terasort.sh

/root/spark/bin/spark-submit \

--master k8s://https://172.3.0.3:6443 \

--deploy-mode cluster \

--name spark-terasort \

--class com.github.ehiggs.spark.terasort.TeraSort \

--conf spark.kubernetes.namespace=spark \

--conf spark.kubernetes.authenticate.driver.serviceAccountName=spark-admin \

--conf spark.kubernetes.container.image=172.3.0.3:5000/spark:terasort \

--conf spark.eventLog.dir=hdfs://172.2.2.11:9000/eventLog \

--conf spark.eventLog.enabled=true \

--conf spark.executor.instances=50 \

--conf spark.driver.cores=2 \

--conf spark.driver.memory=8g \

--conf spark.executor.memory=6g \

--conf spark.executor.cores=1 \

--proxy-user hadoop \

local:///opt/spark/examples/jars/spark-terasort-1.1-SNAPSHOT-jar-with-dependencies.jar \

hdfs://172.2.2.11:9000/terasort/50g_generated \

hdfs://172.2.2.11:9000/terasort/50g_sorted

5:运行TeraValidate

run_spark_teravarify.sh

/root/spark/bin/spark-submit \

--master k8s://https://172.3.0.3:6443 \

--deploy-mode cluster \

--name spark-terasort \

--class com.github.ehiggs.spark.terasort.TeraValidate \

--conf spark.kubernetes.namespace=spark \

--conf spark.kubernetes.authenticate.driver.serviceAccountName=spark-admin \

--conf spark.kubernetes.container.image=172.3.0.3:5000/spark:terasort \

--conf spark.eventLog.dir=hdfs://172.2.2.11:9000/eventLog \

--conf spark.eventLog.enabled=true \

--conf spark.executor.instances=50 \

--conf spark.driver.cores=2 \

--conf spark.driver.memory=8g \

--conf spark.executor.memory=6g \

--conf spark.executor.cores=1 \

--proxy-user hadoop \

local:///opt/spark/examples/jars/spark-terasort-1.1-SNAPSHOT-jar-with-dependencies.jar \

hdfs://172.2.2.11:9000/terasort/50g_sorted \

hdfs://172.2.2.11:9000/terasort/50g_varified