def init_spark():
# Start Spark schema -------------------------------------------------
from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("allE2ETest").getOrCreate()
createSchema.init_spark_schema(
spark, Settings.data["TestSettings"]["dataDirectory"])
createSchema.init_spark_schema(
spark,
Settings.data["TestSettings"]["dataDirectory"],
smiles_test=True,
fileSchemaType=DataType.PARQUET)
return spark
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()
drill = "drill" #None
spark = "spark"
compareResults = True
if 'compare_results' in Settings.data['RunSettings']:
compareResults = Settings.data['RunSettings']['compare_results']
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 ------------------------------------------------------------------------------------------------------
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()
def executionTest():
tables = ["lineitem", "orders"]
data_types = [DataType.CSV, DataType.PARQUET] # TODO json
# Create Tables -----------------------------------------------------
for fileSchemaType in data_types:
if skip_test(dask_client, nRals, fileSchemaType, queryType):
continue
cs.init_spark_schema(
spark,
Settings.data["TestSettings"]["dataDirectory"],
fileSchemaType=fileSchemaType,
)
cs.create_tables(bc, dir_data_file, fileSchemaType, tables=tables)
# Run Query ------------------------------------------------------
# Parameter to indicate if its necessary to order
# the resulsets before compare them
worder = 1
use_percentage = False
acceptable_difference = 0.01
print("==============================")
print(queryType)
print("==============================")
queryId = "TEST_01"
query = """select l_shipdate, l_commitdate,
timestampdiff(DAY, l_commitdate, l_shipdate) as diff
from lineitem limit 20"""
query_spark = """select l_shipdate, l_commitdate,
datediff(l_shipdate, l_commitdate) as diff
from lineitem limit 20"""
runTest.run_query(
bc,
spark,
query,
queryId,
queryType,
worder,
"",
acceptable_difference,
use_percentage,
query_spark=query_spark,
print_result=True,
)
queryId = "TEST_02"
query = """select l_shipdate, timestampdiff(DAY,
date '1970-01-01', l_shipdate) as diff
from lineitem limit 20"""
query_spark = """select l_shipdate, datediff(l_shipdate,
date '1970-01-01') as diff
from lineitem limit 20"""
runTest.run_query(
bc,
spark,
query,
queryId,
queryType,
worder,
"",
acceptable_difference,
use_percentage,
query_spark=query_spark,
print_result=True,
)
queryId = "TEST_03"
query = """select * from orders
where timestampdiff(DAY, date '1995-02-04',
o_orderdate) < 25"""
query_spark = """select * from orders where
datediff(o_orderdate, date '1995-02-04') < 25"""
runTest.run_query(
bc,
spark,
query,
queryId,
queryType,
worder,
"",
acceptable_difference,
use_percentage,
query_spark=query_spark,
print_result=True,
)
if Settings.execution_mode == ExecutionMode.GENERATOR:
print("==============================")
break
def main():
print("**init end2end**")
Execution.getArgs()
nvmlInit()
dir_data_file = Settings.data["TestSettings"]["dataDirectory"]
nRals = Settings.data["RunSettings"]["nRals"]
drill = "drill"
spark = "spark"
compareResults = True
if "compare_results" in Settings.data["RunSettings"]:
compareResults = Settings.data["RunSettings"]["compare_results"]
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)
createSchema.init_drill_schema(
drill,
Settings.data["TestSettings"]["dataDirectory"],
bool_test=True)
createSchema.init_drill_schema(
drill,
Settings.data["TestSettings"]["dataDirectory"],
smiles_test=True,
fileSchemaType=DataType.PARQUET)
# Create Table Spark -------------------------------------------------
from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("allE2ETest").getOrCreate()
createSchema.init_spark_schema(
spark, Settings.data["TestSettings"]["dataDirectory"])
createSchema.init_spark_schema(
spark,
Settings.data["TestSettings"]["dataDirectory"],
smiles_test=True,
fileSchemaType=DataType.PARQUET)
targetTestGroups = Settings.data["RunSettings"]["targetTestGroups"]
# only innerJoinsTest will be with progress bar
useProgressBar = False
if "innerJoinsTest" in targetTestGroups:
useProgressBar = True
print("Using progress bar: ", useProgressBar)
# Create Context For BlazingSQL
bc, dask_client = init_context(useProgressBar=useProgressBar)
runAllTests = (
len(targetTestGroups) == 0
) # if targetTestGroups was empty the user wants to run all the tests
if runAllTests or ("hiveFileTest" in targetTestGroups):
hiveFileTest.main(dask_client, spark, dir_data_file, bc, nRals)
if runAllTests or ("aggregationsWithoutGroupByTest" in targetTestGroups):
aggregationsWithoutGroupByTest.main(dask_client, drill, dir_data_file,
bc, nRals)
if runAllTests or ("coalesceTest" in targetTestGroups):
coalesceTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("columnBasisTest" in targetTestGroups):
columnBasisTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("commonTableExpressionsTest" in targetTestGroups):
commonTableExpressionsTest.main(dask_client, drill, dir_data_file, bc,
nRals)
if runAllTests or ("countDistinctTest" in targetTestGroups):
countDistinctTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("countWithoutGroupByTest" in targetTestGroups):
countWithoutGroupByTest.main(dask_client, drill, dir_data_file, bc,
nRals)
if runAllTests or ("dateTest" in targetTestGroups):
dateTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("timestampTest" in targetTestGroups):
timestampTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("toTimestampTest" in targetTestGroups):
toTimestampTest.main(dask_client, spark, dir_data_file, bc, nRals)
if runAllTests or ("dayOfWeekTest" in targetTestGroups):
dayOfWeekTest.main(dask_client, spark, dir_data_file, bc, nRals)
if runAllTests or ("fullOuterJoinsTest" in targetTestGroups):
fullOuterJoinsTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("groupByTest" in targetTestGroups):
groupByTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("GroupByWitoutAggregations" in targetTestGroups):
GroupByWitoutAggregations.main(dask_client, drill, dir_data_file, bc,
nRals)
if runAllTests or ("innerJoinsTest" in targetTestGroups):
innerJoinsTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("crossJoinsTest" in targetTestGroups):
crossJoinsTest.main(dask_client, spark, dir_data_file, bc, nRals)
if runAllTests or ("leftOuterJoinsTest" in targetTestGroups):
leftOuterJoinsTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("nonEquiJoinsTest" in targetTestGroups):
nonEquiJoinsTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
# loadDataTest.main(dask_client, bc) #check this
if runAllTests or ("nestedQueriesTest" in targetTestGroups):
nestedQueriesTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("orderbyTest" in targetTestGroups):
orderbyTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("predicatesWithNulls" in targetTestGroups):
predicatesWithNulls.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
if runAllTests or ("stringTests" in targetTestGroups):
stringTests.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("tablesFromPandasTest" in targetTestGroups):
tablesFromPandasTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("unaryOpsTest" in targetTestGroups):
unaryOpsTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("unifyTablesTest" in targetTestGroups):
unifyTablesTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("unionTest" in targetTestGroups):
unionTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("useLimitTest" in targetTestGroups):
useLimitTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("whereClauseTest" in targetTestGroups):
whereClauseTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("bindableAliasTest" in targetTestGroups):
bindableAliasTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
if runAllTests or ("booleanTest" in targetTestGroups):
booleanTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("caseTest" in targetTestGroups):
caseTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("castTest" in targetTestGroups):
castTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("concatTest" in targetTestGroups):
concatTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("literalTest" in targetTestGroups):
literalTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("dirTest" in targetTestGroups):
dirTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
# HDFS is not working yet
# fileSystemHdfsTest.main(dask_client, drill, dir_data_file, bc)
# HDFS is not working yet
# mixedFileSystemTest.main(dask_client, drill, dir_data_file, bc)
if runAllTests or ("likeTest" in targetTestGroups):
likeTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("substringTest" in targetTestGroups):
substringTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("stringCaseTest" in targetTestGroups):
stringCaseTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
if runAllTests or ("wildCardTest" in targetTestGroups):
wildCardTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("tpchQueriesTest" in targetTestGroups):
tpchQueriesTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
if runAllTests or ("roundTest" in targetTestGroups):
roundTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("fileSystemLocalTest" in targetTestGroups):
fileSystemLocalTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
if runAllTests or ("messageValidationTest" in targetTestGroups):
messageValidationTest.main(dask_client, drill, dir_data_file, bc,
nRals)
testsWithNulls = Settings.data["RunSettings"]["testsWithNulls"]
if testsWithNulls != "true":
if Settings.execution_mode != ExecutionMode.GPUCI:
if runAllTests or ("fileSystemS3Test" in targetTestGroups):
fileSystemS3Test.main(dask_client, drill, dir_data_file, bc,
nRals)
if runAllTests or ("fileSystemGSTest" in targetTestGroups):
fileSystemGSTest.main(dask_client, drill, dir_data_file, bc,
nRals)
if runAllTests or ("loggingTest" in targetTestGroups):
loggingTest.main(dask_client, dir_data_file, bc, nRals)
# timestampdiffTest.main(dask_client, spark, dir_data_file, bc, nRals)
#TODO re enable this test once we have the new version of dask
# https://github.com/dask/distributed/issues/4645
# https://github.com/rapidsai/cudf/issues/7773
#if runAllTests or ("smilesTest" in targetTestGroups):
# smilesTest.main(dask_client, spark, dir_data_file, bc, nRals)
if testsWithNulls != "true":
if runAllTests or ("jsonTest" in targetTestGroups):
jsonTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("windowFunctionTest" in targetTestGroups):
windowFunctionTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
if runAllTests or ("windowNoPartitionTest" in targetTestGroups):
windowNoPartitionTest.main(dask_client, drill, spark, dir_data_file,
bc, nRals)
if testsWithNulls != "true":
if runAllTests or ("concurrentTest" in targetTestGroups):
concurrentTest.main(dask_client, drill, dir_data_file, bc, nRals)
if testsWithNulls == "true":
if Settings.execution_mode != ExecutionMode.GPUCI:
if runAllTests or ("tablesFromSQL" in targetTestGroups):
tablesFromSQL.main(dask_client, drill, dir_data_file, bc,
nRals)
# WARNING!!! This Test must be the last one to test -------------------------------------------------------------------------------------------------------------------------------------------
if runAllTests or ("configOptionsTest" in targetTestGroups):
configOptionsTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
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("""***********************************************************
********************""")
for i in range(0, len(Settings.memory_list)):
print(Settings.memory_list[i].name + ":" + " Start Mem: " +
str(Settings.memory_list[i].start_mem) + " End Mem: " +
str(Settings.memory_list[i].end_mem) + " Diff: " +
str(Settings.memory_list[i].delta))
return result, error_msgs
return True, []
def main():
print('**init end2end**')
Execution.getArgs()
nvmlInit()
dir_data_file = Settings.data['TestSettings']['dataDirectory']
nRals = Settings.data['RunSettings']['nRals']
drill = "drill"
spark = "spark"
compareResults = True
if 'compare_results' in Settings.data['RunSettings']:
compareResults = Settings.data['RunSettings']['compare_results']
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)
createSchema.init_drill_schema(
drill,
Settings.data['TestSettings']['dataDirectory'],
bool_test=True)
# Create Table Spark ------------------------------------------------------------------------------------------------------
spark = SparkSession.builder.appName("allE2ETest").getOrCreate()
createSchema.init_spark_schema(
spark, Settings.data['TestSettings']['dataDirectory'])
#Create Context For BlazingSQL
bc, dask_client = init_context()
targetTestGroups = Settings.data['RunSettings']['targetTestGroups']
runAllTests = (
len(targetTestGroups) == 0
) # if targetTestGroups was empty the user wants to run all the tests
if runAllTests or ("aggregationsWithoutGroupByTest" in targetTestGroups):
aggregationsWithoutGroupByTest.main(dask_client, drill, dir_data_file,
bc, nRals)
if runAllTests or ("coalesceTest" in targetTestGroups):
coalesceTest.main(dask_client, drill, dir_data_file, bc,
nRals) #we are not supporting coalesce yet
if runAllTests or ("columnBasisTest" in targetTestGroups):
columnBasisTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("commonTableExpressionsTest" in targetTestGroups):
commonTableExpressionsTest.main(dask_client, drill, dir_data_file, bc,
nRals)
#countDistincTest.main(dask_client, drill, dir_data_file, bc) #we are not supporting count distinct yet
if runAllTests or ("countWithoutGroupByTest" in targetTestGroups):
countWithoutGroupByTest.main(dask_client, drill, dir_data_file, bc,
nRals)
if runAllTests or ("dateTest" in targetTestGroups):
dateTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("timestampTest" in targetTestGroups):
timestampTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("fullOuterJoinsTest" in targetTestGroups):
fullOuterJoinsTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("groupByTest" in targetTestGroups):
groupByTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("GroupByWitoutAggregations" in targetTestGroups):
GroupByWitoutAggregations.main(dask_client, drill, dir_data_file, bc,
nRals)
if runAllTests or ("innerJoinsTest" in targetTestGroups):
innerJoinsTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("" in targetTestGroups):
leftOuterJoinsTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("nonEquiJoinsTest" in targetTestGroups):
nonEquiJoinsTest.main(dask_client, drill, dir_data_file, bc, nRals)
#loadDataTest.main(dask_client, bc) #check this
if runAllTests or ("nestedQueriesTest" in targetTestGroups):
nestedQueriesTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("orderbyTest" in targetTestGroups):
orderbyTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("predicatesWithNulls" in targetTestGroups):
predicatesWithNulls.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("stringTests" in targetTestGroups):
stringTests.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("tablesFromPandasTest" in targetTestGroups):
tablesFromPandasTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("unaryOpsTest" in targetTestGroups):
unaryOpsTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("unifyTablesTest" in targetTestGroups):
unifyTablesTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("unionTest" in targetTestGroups):
unionTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("useLimitTest" in targetTestGroups):
useLimitTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("whereClauseTest" in targetTestGroups):
whereClauseTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("bindableAliasTest" in targetTestGroups):
bindableAliasTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
if runAllTests or ("booleanTest" in targetTestGroups):
booleanTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("caseTest" in targetTestGroups):
caseTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("castTest" in targetTestGroups):
castTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("concatTest" in targetTestGroups):
concatTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("literalTest" in targetTestGroups):
literalTest.main(dask_client, drill, spark, dir_data_file, bc, nRals)
if runAllTests or ("dirTest" in targetTestGroups):
dirTest.main(dask_client, drill, dir_data_file, bc, nRals)
#fileSystemHdfsTest.main(dask_client, drill, dir_data_file, bc) #HDFS is not working yet
#mixedFileSystemTest.main(dask_client, drill, dir_data_file, bc) #HDFS is not working yet
if runAllTests or ("likeTest" in targetTestGroups):
likeTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("simpleDistributionTest" in targetTestGroups):
simpleDistributionTest.main(dask_client, drill, spark, dir_data_file,
bc, nRals)
if runAllTests or ("substringTest" in targetTestGroups):
substringTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("wildCardTest" in targetTestGroups):
wildCardTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("tpchQueriesTest" in targetTestGroups):
tpchQueriesTest.main(dask_client, drill, spark, dir_data_file, bc,
nRals)
if runAllTests or ("roundTest" in targetTestGroups):
roundTest.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("fileSystemLocalTest" in targetTestGroups):
fileSystemLocalTest.main(dask_client, drill, dir_data_file, bc, nRals)
if Settings.execution_mode != ExecutionMode.GPUCI:
if runAllTests or ("fileSystemS3Test" in targetTestGroups):
fileSystemS3Test.main(dask_client, drill, dir_data_file, bc, nRals)
if runAllTests or ("fileSystemGSTest" in targetTestGroups):
fileSystemGSTest.main(dask_client, drill, dir_data_file, bc, nRals)
#timestampdiffTest.main(dask_client, spark, dir_data_file, bc, nRals)
if Settings.execution_mode != ExecutionMode.GENERATOR:
result, error_msgs = runTest.save_log()
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(
'*******************************************************************************'
)
for i in range(0, len(Settings.memory_list)):
print(Settings.memory_list[i].name + ":" + " Start Mem: " +
str(Settings.memory_list[i].start_mem) + " End Mem: " +
str(Settings.memory_list[i].end_mem) + " Diff: " +
str(Settings.memory_list[i].delta))
return result, error_msgs
return True, []
