spark standalone&&yarn模式
2017-08-27 01:15
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spark standalone&&yarn模式
standalone模式1.slaves文件 slave1 slave2 slave3 2.spark-env.sh export SCALA_HOME=/usr/local/scala export JAVA_HOME=/usr/java/default export SPARK_DIST_CLASSPATH=$(/usr/local/hadoop/bin/hadoop classpath) export SPARK_MASTER_IP=192.168.137.100 export SPARK_LOCAL_DIRS=/usr/local/spark export SPARK_WORKER_MEMORY=1g export SPARK_MASTER_PORT=7077 3.启动 ./sbin/start-all.sh 4.standlone模式之client模式 结果xshell可见 ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master spark://master:7077 --executor-memory 1G --total-executor-cores 1 ./examples/jars/spark-examples_2.11-2.1.0.jar 100 4.standlone模式之cluster模式 ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master spark://master:7077 --deploy-mode cluster --supervise --executor-memory 1G --total-executor-cores 1 ./examples/jars/spark-examples_2.11-2.1.0.jar 100
yarn模式
1.spark-env.sh export SCALA_HOME=/usr/local/scala export JAVA_HOME=/usr/java/default export HADOOP_HOME=/usr/local/hadoop export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop export SPARK_DIST_CLASSPATH=$(/usr/local/hadoop/bin/hadoop classpath) export SPARK_MASTER_IP=192.168.137.100 export SPARK_LOCAL_DIRS=/usr/local/spark export SPARK_WORKER_MEMORY=1g export SPARK_MASTER_PORT=7077 2. yarn-client模式: ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client --executor-memory 1G --num-executors 1 ./examples/jars/spark-examples_2.11-2.1.0.jar 100 3. yarn-cluster模式: ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-cluster --executor-memory 1G --num-executors 1 ./examples/jars/spark-examples_2.11-2.1.0.jar 100
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