in benchmarks/tpch/tpch.py [0:0]
def bench(data_path, query_path) -> None:
with open("results.csv", "w") as results:
# register tables
start = time.time()
total_time_millis = 0
# create context
# runtime = (
# RuntimeEnvBuilder()
# .with_disk_manager_os()
# .with_fair_spill_pool(10000000)
# )
# config = (
# SessionConfig()
# .with_create_default_catalog_and_schema(True)
# .with_default_catalog_and_schema("datafusion", "tpch")
# .with_information_schema(True)
# )
# ctx = SessionContext(config, runtime)
ctx = SessionContext()
print("Configuration:\n", ctx)
# register tables
with open("create_tables.sql") as f:
sql = ""
for line in f.readlines():
if line.startswith("--"):
continue
sql = sql + line
if sql.strip().endswith(";"):
sql = sql.strip().replace("$PATH", data_path)
ctx.sql(sql)
sql = ""
end = time.time()
time_millis = (end - start) * 1000
total_time_millis += time_millis
print(f"setup,{round(time_millis, 1)}")
results.write(f"setup,{round(time_millis, 1)}\n")
results.flush()
# run queries
for query in range(1, 23):
with open(f"{query_path}/q{query}.sql") as f:
text = f.read()
tmp = text.split(";")
queries = [s.strip() for s in tmp if len(s.strip()) > 0]
try:
start = time.time()
for sql in queries:
print(sql)
df = ctx.sql(sql)
# result_set = df.collect()
df.show()
end = time.time()
time_millis = (end - start) * 1000
total_time_millis += time_millis
print(f"q{query},{round(time_millis, 1)}")
results.write(f"q{query},{round(time_millis, 1)}\n")
results.flush()
except Exception as e:
print("query", query, "failed", e)
print(f"total,{round(total_time_millis, 1)}")
results.write(f"total,{round(total_time_millis, 1)}\n")