spark

计算圆周率

# bin/spark-submit \
--class org.apache.spark.examples.SparkPi \
--executor-memory 1G \
--total-executor-cores 2 \
./examples/jars/spark-examples_2.11-2.3.3.jar \
100　　

wordcount

sc.textFile("input").flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_).collect　　

输出

res3: Array[(String, Int)] = Array((scala,2), ("",1), (object,1), (is,1), (python,3), (hello,4), (java,3), (go,1), (and,1))　　

 spark 运行在yarn

mv spark-env.sh.template spark-env.sh
# 编辑
vim spark-env.sh 
#修改
YARN_CONF_DIR=/itcatst/hadoop2.8/etc/hadoop

#执行命令 测试
 bin/spark-submit \
--class org.apache.spark.examples.SparkPi \
--master yarn \
--deploy-mode client \
./examples/jars/spark-examples_2.11-2.3.3.jar \
100　　　　

 启动

bin/spark-shell --master yarn　　

local模式

bin/spark-submit \
--class org.wondersgroup.bigdata.spark.WordCount \
WordCount-jar-with-dependencies.jar　

独立的部署模式

mv slaves.template slaves
#编辑
vim slaves

hadoop01
hadoop02
hadoop03

vim spark-env.sh
export JAVA_HOME=/usr/local/jdk1.8.0_221
SPARK_MASTER_HOST=hadoop01
SPARK_MASTER_PORT=7077　　

 计算

bin/spark-submit \ 
--class org.apache.spark.examples.SparkPi \
--master spark://hadoop01:7077 \
--executor-memory 1G \
--total-executor-cores 2 \
./examples/jars/spark-examples_2.11-2.3.3.jar \
100　　

 启动spark集群

sbin/spark-all.sh