本篇文章给大家分享的是有关macOS Spark 2.4.3 standalone 搭建的示例分析，小编觉得挺实用的，因此分享给大家学习，希望大家阅读完这篇文章后可以有所收获，话不多说，跟着小编一起来看看吧。

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based on

jdk 1.8

Mac os

1、解压

nancylulululu:local nancy$ tar -zxvf /Users/nancy/Downloads/spark-2.4.3-bin-hadoop2.7.tar -C /usr/local/opt/

2、重命名并修改配置文件

nancylulululu:conf nancy$ cp slaves.template slaves

nancylulululu:conf nancy$ cp spark-defaults.conf.template spark-defaults.conf

nancylulululu:conf nancy$ cp spark-env.sh.template spark-env.sh

nancylulululu:conf nancy$ vi slaves

localhost

nancylulululu:conf nancy$ vi spark-env.sh

SPARK_LOCAL_IP=127.0.0.1

SPARK_MASTER_HOST=127.0.0.1

SPARK_MASTER_PORT=7077

SPARK_WORKER_CORES=2

SPARK_WORKER_MEMORY=1G

3、启动spark

nancylulululu:spark-2.4.3 nancy$ sbin/start-all.sh

starting org.apache.spark.deploy.master.Master, logging to /usr/local/opt/spark-2.4.3/logs/spark-nancy-org.apache.spark.deploy.master.Master-1-nancylulululu.out

localhost: starting org.apache.spark.deploy.worker.Worker, logging to /usr/local/opt/spark-2.4.3/logs/spark-nancy-org.apache.spark.deploy.worker.Worker-1-nancylulululu.out

jps 查看一个 master 和一个 worker服务

nancylulululu:conf nancy$ jps

3908 CoarseGrainedExecutorBackend

3478 Master

4166 Jps

3896 SparkSubmit

3514 Worker

4、Launching Applications with spark-submit

Once a user application is bundled, it can be launched using the bin/spark-submit script. This script takes care of setting up the classpath with Spark and its dependencies, and can support different cluster managers and deploy modes that Spark supports:

./bin/spark-submit \   --class  \   --master  \   --deploy-mode  \   --conf = \   ... # other options    \   [application-arguments]

Some of the commonly used options are:

• --class: The entry point for your application (e.g. org.apache.spark.examples.SparkPi)

• --master: The  master URL  for the cluster (e.g. spark://23.195.26.187:7077)

• --deploy-mode: Whether to deploy your driver on the worker nodes (cluster) or locally as an external client (client) (default: client) † 

• --conf: Arbitrary Spark configuration property in key=value format. For values that contain spaces wrap “key=value” in quotes (as shown).

• application-jar: Path to a bundled jar including your application and all dependencies. The URL must be globally visible inside of your cluster, for instance, an hdfs:// path or a file:// path that is present on all nodes.

• application-arguments: Arguments passed to the main method of your main class, if any

脚本：

./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master spark://localhost:7077 \
 /usr/local/opt/spark-2.4.3/examples/jars/spark-examples_2.11-2.4.3.jar \
100

结果

Pi is roughly 3.1413047141304715

19/05/14 14:23:06 INFO SparkUI: Stopped Spark web UI at http://localhost:4040

5、spark-shell 模式

nancylulululu:spark-2.4.3 nancy$ bin/spark-shell --master spark://localhost:7077

6、测试wordcount

测试文件

nancylulululu:opt nancy$ vi 3.txt

hello scala hello spark hello MySQL hello java hello java hello scala

测试结果

scala> sc.textFile("/usr/local/opt/3.txt").flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_).collect

res1: Array[(String, Int)] = Array((scala,2), (mysql,1), (hello,6), (java,2), (spark,1))

scala> 

以上就是macOS Spark 2.4.3 standalone 搭建的示例分析，小编相信有部分知识点可能是我们日常工作会见到或用到的。希望你能通过这篇文章学到更多知识。更多详情敬请关注创新互联行业资讯频道。

文章题目：macOSSpark2.4.3standalone搭建的示例分析
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