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Sample pyspark context setting with configs params
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# Set up spark configuration | |
conf = SparkConf().setMaster("yarn-client").setAppName("sparK-mer") | |
#conf = SparkConf().setMaster("local[16]").setAppName("sparK-mer") | |
conf.set("yarn.nodemanager.resource.cpu_vcores",args.C) | |
# Saturate with executors | |
conf.set("spark.executor.instances",executorInstances) | |
conf.set("spark.executor.heartbeatInterval","5s") | |
# cores per executor | |
conf.set("spark.executor.cores",args.E) | |
# set driver cores | |
conf.set("spark.driver.cores",12) | |
# Number of akka threads | |
conf.set("spark.akka.threads",256) | |
# Agregation worker memory | |
conf.set("spark.python.worker.memory","5g") | |
# Maximum message size in MB | |
conf.set("spark.akka.frameSize","128") | |
conf.set("spark.akka.timeout","200s") | |
conf.set("spark.akka.heartbeat.interval","10s") | |
#conf.set("spark.broadcast.blockSize","128m") | |
conf.set("spark.driver.maxResultSize", "20g") | |
conf.set("spark.reducer.maxSizeInFlight","5g") | |
conf.set("spark.executor.memory","7g") | |
#conf.set("spark.shuffle.memoryFraction",0.4) | |
#conf.set("spark.storage.memoryFraction",0.3) | |
#conf.set("spark.storage.unrollFraction",0.3) | |
#conf.set("spark.storage.memoryMapThreshold","256m") | |
#conf.set("spark.kryoserializer.buffer.max","1g") | |
#conf.set("spark.kryoserializer.buffer","128m") | |
#conf.set("spark.core.connection.ack.wait.timeout","600") | |
#conf.set("spark.shuffle.consolidateFiles","true") | |
#conf.set("spark.shuffle.file.buffer","32m") | |
conf.set("spark.shuffle.manager","sort") | |
conf.set("spark.shuffle.spill","true") | |
# Set up Spark Context | |
sc = SparkContext("","",conf=conf) | |
#sc.setLogLevel(args.L) |
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