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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。
