def E2EResults():
if Settings.execution_mode != ExecutionMode.GENERATOR:
result, error_msgs = runTest.save_log(
Settings.execution_mode == ExecutionMode.GPUCI)
max = 0
for i in range(0, len(Settings.memory_list)):
if (Settings.memory_list[i].delta) > max:
max = Settings.memory_list[i].delta
print("MAX DELTA: " + str(max))
print("""***********************************************************
********************""")
gpuMemory.print_log_gpu_memory()
return result, error_msgs
return True, []
if ((Settings.execution_mode == ExecutionMode.FULL
and compareResults == "true")
or Settings.execution_mode == ExecutionMode.GENERATOR):
# Create Table Drill ------------------------------------------------
from pydrill.client import PyDrill
drill = PyDrill(host="localhost", port=8047)
cs.init_drill_schema(drill,
Settings.data["TestSettings"]["dataDirectory"])
# Create Table Spark -------------------------------------------------
from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("timestampTest").getOrCreate()
cs.init_spark_schema(spark,
Settings.data["TestSettings"]["dataDirectory"])
# Create Context For BlazingSQL
bc, dask_client = init_context()
nRals = Settings.data["RunSettings"]["nRals"]
main(dask_client, drill, spark,
Settings.data["TestSettings"]["dataDirectory"], bc, nRals)
if Settings.execution_mode != ExecutionMode.GENERATOR:
runTest.save_log()
gpuMemory.print_log_gpu_memory()