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pyspark提交作业相关参数示例

作者:高景洋　日期:2021-02-02 14:30:23　浏览次数:2017

		# 提交方式（测试） 
	
		# spark-submit --master local[2] --num-executors 2 --executor-memory 1G --jars ./spark-examples_2.11-1.6.0-typesafe-001.jar /home/hadoop/script/test_hbase_dataframe.py
	
		# 打包 
	
		# zip -r collect_py.zip * 
	
		# ---------------提交方式（正式） : 适用于Python3.7 和 Spark2.3+-------------------
	
		# spark-submit \
	
		# --name hbase_scan \
	
		# --py-files /home/hadoop/collect_py/collect_py.zip \
	
		# --master yarn \
	
		# --jars /home/hadoop/spark-examples_2.11-1.6.0-typesafe-001.jar \
	
		# --driver-memory 3g \
	
		# --executor-memory 12g \
	
		# --executor-cores 4 \
	
		# --num-executors 14 \
	
		# --conf spark.yarn.dist.archives=hdfs:///user/hadoop/python/env/python3.7.6.zip#python_env \
	
		# --conf spark.pyspark.driver.python=/data/anaconda2/envs/hbase_scan/bin/python \
	
		# --conf spark.pyspark.python=./python_env/hbase_scan/bin/python \
	
		# --conf spark.task.cpus=1 \
	
		# --conf spark.executorEnv.CLASSPATH="/usr/local/service/hive/spark/examples/jars/*:${CLASSPATH}" \
	
		# /home/hadoop/collect_py/data_collect_py/apps/collect/schedule/spark_schedule.py
	
		#-------------------------------------------------------------------------------
	
		# ---------------提交方式（正式） : 适用于Python3.6 和 Spark2.2  当前跳板机上提交应使用该方式------
	
		# spark-submit \
	
		# --name hbase_scan \
	
		# --py-files /home/hadoop/collect_py/collect_py.zip \
	
		# --master yarn \
	
		# --jars /home/hadoop/spark-examples_2.11-1.6.0-typesafe-001.jar \
	
		# --driver-memory 3g \
	
		# --executor-memory 10g \
	
		# --executor-cores 10 \
	
		# --num-executors 14 \
	
		# --conf spark.yarn.dist.archives=hdfs:///user/hadoop/python/env/python3.6.12.zip#python_env \
	
		# --conf spark.pyspark.driver.python=/data/anaconda2/envs/hbase_scan_36/bin/python \
	
		# --conf spark.pyspark.python=./python_env/hbase_scan_36/bin/python \
	
		# --conf spark.task.cpus=1 \
	
		# --conf spark.executorEnv.CLASSPATH="/usr/local/service/hive/spark/examples/jars/*:${CLASSPATH}" \
	
		# /home/hadoop/collect_py/data_collect_py/apps/collect/schedule/spark_schedule.py
	
		#-------------------------------------------------------------------------------
	
		# ---------------提交方式（正式） : 适用于Python3.6 和 Spark2.2  当前azkaban提交------
	
		# spark-submit \
	
		# --name hbase_scan \
	
		# --py-files /home/hadoop/collect_py/collect_py.zip \
	
		# --master yarn \
	
		# --jars /home/hadoop/spark-examples_2.11-1.6.0-typesafe-001.jar \
	
		# --driver-memory 3g \
	
		# --executor-memory 10g \
	
		# --executor-cores 10 \
	
		# --num-executors 14 \
	
		# --conf spark.yarn.dist.archives=hdfs:///user/hadoop/python/env/python3.6.12.zip#python_env \
	
		# --conf spark.pyspark.driver.python=/data/anaconda2/envs/hbase_scan_36/bin/python \
	
		# --conf spark.pyspark.python=./python_env/hbase_scan_36/bin/python \
	
		# --conf spark.task.cpus=1 \
	
		# --conf spark.sql.shuffle.partitions=280 \
	
		# --conf spark.default.parallelism=280 \
	
		# /home/hadoop/collect_py/data_collect_py/apps/collect/schedule/spark_schedule.py
	
		#-------------------------------------------------------------------------------

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