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Fix formatting #125

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Merged
merged 1 commit into from
Jul 21, 2023
Merged

Fix formatting #125

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10 changes: 4 additions & 6 deletions src/smspark/bootstrapper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -417,7 +417,9 @@ def get_yarn_spark_resource_config(
# default parallelism
default_parallelism = executor_count_total * executor_cores * 2
# total memory for one executor on the instance, leave 1GB for the Hadoop daemons
total_executor_memory = int((reduced_instance_mem_mb - constants.HADOOP_DAEMONS_MEM_MB) / executor_count_per_instance)
total_executor_memory = int(
(reduced_instance_mem_mb - constants.HADOOP_DAEMONS_MEM_MB) / executor_count_per_instance
)
# executor memory MB (90% of the total executor mem)
executor_mem_mb = int(total_executor_memory * constants.EXECUTOR_MEM_INSTANCE_MEM_RATIO_ADV)
# executor memory overhead MB (10% of the total executor mem)
Expand All @@ -426,11 +428,7 @@ def get_yarn_spark_resource_config(
driver_mem_mb = executor_mem_mb
driver_mem_overhead_mb = executor_mem_overhead_mb
else:
raise ValueError(
"Could not determine Spark configuration mode: {}.".format(
spark_config_mode
)
)
raise ValueError("Could not determine Spark configuration mode: {}.".format(spark_config_mode))

driver_gc_config = (
"-XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:MaxHeapFreeRatio=70 "
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