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February 24, 2017 03:40
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spark helpers
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MESOS_IP=mesos://zk://10.2.95.5:2181/qs-dmitry-dgqt | |
DRIVER_IP=10.2.95.5 | |
EXECUTOR_IMAGE=docker-dev.hli.io/ccm/hli-rspark-plink:2.0.1 | |
CORES=16 | |
RAM=50g | |
./bin/pyspark \ | |
--conf spark.master=${MESOS_IP} \ | |
--conf spark.driver.host=${DRIVER_IP} \ | |
--conf spark.driver.maxResultSize=5g \ | |
--conf spark.driver.memory=1g \ | |
--conf spark.driver.cores=1 \ | |
--conf spark.mesos.coarse=true \ | |
--conf spark.mesos.executor.docker.image=${EXECUTOR_IMAGE} \ | |
--conf spark.mesos.executor.home=/usr/local/spark \ | |
--conf spark.task.maxFailures=10 \ | |
--conf spark.executor.extraClassPath=/usr/local/spark/extra_jars/* \ | |
--conf spark.driver.extraClassPath=/usr/local/spark/extra_jars/* \ | |
--conf spark.sql.parquet.compression.codec=gzip \ | |
--conf spark.sql.warehouse.dir=file:///tmp \ | |
--conf spark.serializer=org.apache.spark.serializer.KryoSerializer \ | |
--conf spark.kryoserializer.buffer.max=1g \ | |
--conf spark.task.cpus=1 \ | |
--conf spark.executor.memory=${RAM} \ | |
--conf spark.cores.max=${CORES} \ | |
--conf spark.sql.shuffle.partitions=2000 \ | |
--conf spark.shuffle.spill=true \ | |
--conf spark.executor.heartbeatInterval=10 \ | |
--conf spark.mesos.executor.docker.volumes=/docker:/docker |
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MESOS_IP=mesos://zk://10.2.95.5:2181/qs-dmitry-dgqt | |
DRIVER_IP=10.2.95.5 | |
EXECUTOR_IMAGE=docker-dev.hli.io/ccm/hli-rspark-plink:2.0.1 | |
CORES=16 | |
RAM=50g | |
./bin/spark-shell \ | |
--conf spark.master=${MESOS_IP} \ | |
--conf spark.driver.host=${DRIVER_IP} \ | |
--conf spark.driver.maxResultSize=5g \ | |
--conf spark.driver.memory=1g \ | |
--conf spark.driver.cores=1 \ | |
--conf spark.mesos.coarse=true \ | |
--conf spark.mesos.executor.docker.image=${EXECUTOR_IMAGE} \ | |
--conf spark.mesos.executor.home=/usr/local/spark \ | |
--conf spark.task.maxFailures=10 \ | |
--conf spark.executor.extraClassPath=/usr/local/spark/extra_jars/* \ | |
--conf spark.driver.extraClassPath=/usr/local/spark/extra_jars/* \ | |
--conf spark.sql.parquet.compression.codec=gzip \ | |
--conf spark.sql.warehouse.dir=file:///tmp \ | |
--conf spark.serializer=org.apache.spark.serializer.KryoSerializer \ | |
--conf spark.kryoserializer.buffer.max=1g \ | |
--conf spark.task.cpus=1 \ | |
--conf spark.executor.memory=${RAM} \ | |
--conf spark.cores.max=${CORES} \ | |
--conf spark.sql.shuffle.partitions=2000 \ | |
--conf spark.shuffle.spill=true \ | |
--conf spark.executor.heartbeatInterval=10 \ | |
--conf spark.mesos.executor.docker.volumes=/docker:/docker |
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# dependencies | |
# export PYTHONPATH=$SPARK_HOME/python/:$PYTHONPATH | |
# pip install py4j | |
# http://spark.apache.org/docs/latest/programming-guide.html#initializing-spark | |
from pyspark import SparkContext, SparkConf | |
from time import sleep | |
master='mesos://zk://10.2.95.5:2181/qs-dmitry-dgqt' | |
spark_image='docker-dev.hli.io/ccm/hli-rspark-plink:2.0.1' | |
cores='32' | |
ram='50g' | |
appName='worker-01' | |
conf = SparkConf()\ | |
.setAppName(appName)\ | |
.setMaster(master)\ | |
.set('spark.driver.maxResultSize','1g')\ | |
.set('spark.driver.memory','1g')\ | |
.set('spark.driver.cores','1')\ | |
.set('spark.driver.extraClassPath','/usr/local/spark/extra_jars/*')\ | |
.set('spark.mesos.coarse','true')\ | |
.set('spark.mesos.executor.docker.image',spark_image)\ | |
.set('spark.mesos.executor.home','/usr/local/spark')\ | |
.set('spark.mesos.executor.docker.volumes','/docker:/docker')\ | |
.set('spark.executor.extraClassPath','/usr/local/spark/extra_jars/*')\ | |
.set('spark.task.maxFailures','100')\ | |
.set('spark.task.cpus','1')\ | |
.set('spark.executor.memory',ram)\ | |
.set('spark.cores.max',cores)\ | |
.set('spark.executor.heartbeatInterval','10')\ | |
.set('spark.sql.parquet.compression.codec','gzip')\ | |
.set('spark.sql.warehouse.dir','file:///tmp')\ | |
.set('spark.serializer','org.apache.spark.serializer.KryoSerializer')\ | |
.set('spark.sql.shuffle.partitions','200')\ | |
.set('spark.shuffle.spill','true') | |
sc = SparkContext(conf=conf) | |
res = sc.parallelize(range(10)).count() | |
print 'res: {}'.format(res) | |
sleep(3) | |
try: | |
sc.stop() | |
except Exception: | |
pass |
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