def main():
# Not explicitly setting all parameters and not testing all lines of the output. Many are tested in the TPCH test
# and we want to avoid duplication. First test single-threaded, then multi-threaded.
return_error = False
arguments = {}
arguments["--scale"] = "2"
arguments["--time"] = "30"
arguments["--verify"] = "true"
benchmark = initialize(arguments, "hyriseBenchmarkTPCC", True)
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("TPC-C scale factor (number of warehouses) is 2")
benchmark.expect_exact("Consistency checks passed")
close_benchmark(benchmark)
check_exit_status(benchmark)
arguments = {}
arguments["--scale"] = "1"
arguments["--time"] = "60"
arguments["--consistency_checks"] = "true"
arguments["--scheduler"] = "true"
arguments["--clients"] = "10"
benchmark = initialize(arguments, "hyriseBenchmarkTPCC", True)
benchmark.expect_exact(
"Running in multi-threaded mode using all available cores")
benchmark.expect_exact(
"10 simulated clients are scheduling items in parallel")
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("TPC-C scale factor (number of warehouses) is 1")
benchmark.expect_exact("Results for Delivery")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Results for New-Order")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Results for Order-Status")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Results for Payment")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Results for Stock-Level")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Consistency checks passed")
close_benchmark(benchmark)
check_exit_status(benchmark)
if return_error:
sys.exit(1)
def main():
build_dir = initialize()
arguments = {}
arguments["--benchmark_data"] = "tpc-h:0.01"
benchmark = pexpect.spawn(
f"{build_dir}/hyriseServer --benchmark_data=tpc-h:0.01 -p 0",
timeout=10)
benchmark.expect_exact("Loading/Generating tables", timeout=120)
benchmark.expect_exact("Encoding 'lineitem'", timeout=120)
search_regex = r"Server started at 0.0.0.0 and port (\d+)"
benchmark.expect(search_regex, timeout=120)
server_port = int(re.search(search_regex, str(benchmark.after)).group(1))
client = pexpect.spawn(f"psql -h localhost -p {server_port}", timeout=10)
client.sendline("select count(*) from region;")
client.expect_exact("COUNT(*)")
client.expect_exact("5")
client.expect_exact("(1 row)")
# Not using close_benchmark() here, as a server is started and a timeout of None would wait forever
client.close()
benchmark.close()
def main():
build_dir = initialize()
# Run JCC-H and validate its output using pexpect and check if all queries were successfully verified with sqlite.
arguments = {}
arguments["--scale"] = ".01"
arguments["--chunk_size"] = "10000"
arguments["--queries"] = "'2,4,6'"
arguments["--time"] = "10"
arguments["--runs"] = "100"
arguments["--warmup"] = "10"
arguments["--encoding"] = "'LZ4'"
arguments["--compression"] = "'SIMD-BP128'"
arguments["--indexes"] = "false"
arguments["--scheduler"] = "true"
arguments["--clients"] = "4"
arguments["--jcch"] = "skewed"
arguments["--verify"] = "true"
arguments["--dont_cache_binary_tables"] = "true"
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCH",
True)
benchmark.expect_exact(
"Running in multi-threaded mode using all available cores")
benchmark.expect_exact(
"4 simulated clients are scheduling items in parallel")
benchmark.expect_exact("Running benchmark in 'Ordered' mode")
benchmark.expect_exact("Encoding is 'LZ4'")
benchmark.expect_exact("Chunk size is 10000")
benchmark.expect_exact("Max runs per item is 100")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("Warmup duration per item is 10 seconds")
benchmark.expect_exact("Benchmarking Queries: [ 2, 4, 6 ]")
benchmark.expect_exact("JCC-H scale factor is 0.01")
benchmark.expect_exact("Using prepared statements: no")
benchmark.expect_exact("Using JCC-H dbgen from")
benchmark.expect_exact("JCC-H query parameters are skewed")
benchmark.expect_exact("calling external qgen")
benchmark.expect_exact("Multi-threaded Topology:")
close_benchmark(benchmark)
check_exit_status(benchmark)
def main():
build_dir = initialize()
compare_benchmarks_path = f"{build_dir}/../scripts/compare_benchmarks.py"
output_filename = f"{build_dir}/tpch_output.json"
return_error = False
# First, run TPC-H and validate it using pexpect. After this run, check if an output file was created and if it
# matches the arguments.
arguments = {}
arguments["--scale"] = ".01"
arguments["--use_prepared_statements"] = "true"
arguments["--queries"] = "'1,13,19'"
arguments["--time"] = "10"
arguments["--runs"] = "-1"
arguments["--mode"] = "'Shuffled'"
arguments["--clustering"] = "Pruning"
arguments["--encoding"] = "'Dictionary'"
arguments["--compression"] = "'Fixed-size byte-aligned'"
arguments["--indexes"] = "true"
arguments["--scheduler"] = "false"
arguments["--clients"] = "1"
arguments["--dont_cache_binary_tables"] = "true"
arguments["--output"] = output_filename
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCH",
True)
benchmark.expect_exact(f"Writing benchmark results to '{output_filename}'")
benchmark.expect_exact("Running in single-threaded mode")
benchmark.expect_exact("1 simulated client is scheduling items")
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("Encoding is 'Dictionary'")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("No warmup runs are performed")
benchmark.expect_exact("Not caching tables as binary files")
benchmark.expect_exact("Benchmarking Queries: [ 1, 13, 19 ]")
benchmark.expect_exact("TPC-H scale factor is 0.01")
benchmark.expect_exact("Using prepared statements: yes")
benchmark.expect_exact("Sorting tables")
benchmark.expect_exact("Creating index on customer [ c_custkey ]")
benchmark.expect_exact("Preparing queries")
close_benchmark(benchmark)
check_exit_status(benchmark)
if not os.path.isfile(arguments["--output"].replace("'", "")):
print("ERROR: Cannot find output file " + arguments["--output"])
return_error = True
with open(arguments["--output"].replace("'", "")) as f:
output = json.load(f)
return_error = check_json(not output["summary"]["table_size_in_bytes"], 0,
"Table size is zero.", return_error)
return_error = check_json(
output["context"]["scale_factor"],
float(arguments["--scale"]),
"Scale factor doesn't match with JSON:",
return_error,
0.001,
)
for i in range(0, 3):
return_error = check_json(
output["benchmarks"][i]["name"].replace("TPC-H 0",
"").replace("TPC-H ", ""),
arguments["--queries"].replace("'", "").split(",")[i],
"Query doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["max_duration"],
int(arguments["--time"]) * 1e9,
"Max duration doesn't match with JSON:",
return_error,
)
return_error = check_json(output["context"]["max_runs"],
int(arguments["--runs"]),
"Max runs don't match with JSON:", return_error)
return_error = check_json(
output["context"]["benchmark_mode"],
arguments["--mode"].replace("'", ""),
"Benchmark mode doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["encoding"]["default"]["encoding"],
arguments["--encoding"].replace("'", ""),
"Encoding doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["encoding"]["default"]["compression"],
arguments["--compression"].replace("'", ""),
"Compression doesn't match with JSON:",
return_error,
)
return_error = check_json(
str(output["context"]["using_scheduler"]).lower(),
arguments["--scheduler"],
"Scheduler doesn't match with JSON:",
return_error,
)
return_error = check_json(output["context"]["clients"],
int(arguments["--clients"]),
"Client count doesn't match with JSON:",
return_error)
CompareBenchmarkScriptTest(compare_benchmarks_path, output_filename,
output_filename).run()
# Run TPC-H and validate its output using pexpect and check if all queries were successfully verified with sqlite.
arguments = {}
arguments["--scale"] = ".01"
arguments["--chunk_size"] = "10000"
arguments["--queries"] = "'2,4,6'"
arguments["--time"] = "10"
arguments["--runs"] = "100"
arguments["--warmup"] = "10"
arguments["--encoding"] = "'LZ4'"
arguments["--compression"] = "'SIMD-BP128'"
arguments["--indexes"] = "false"
arguments["--scheduler"] = "true"
arguments["--clients"] = "4"
arguments["--verify"] = "true"
arguments["--dont_cache_binary_tables"] = "true"
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCH",
True)
benchmark.expect_exact(
"Running in multi-threaded mode using all available cores")
benchmark.expect_exact(
"4 simulated clients are scheduling items in parallel")
benchmark.expect_exact("Running benchmark in 'Ordered' mode")
benchmark.expect_exact("Encoding is 'LZ4'")
benchmark.expect_exact("Chunk size is 10000")
benchmark.expect_exact("Max runs per item is 100")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("Warmup duration per item is 10 seconds")
benchmark.expect_exact("Benchmarking Queries: [ 2, 4, 6 ]")
benchmark.expect_exact("TPC-H scale factor is 0.01")
benchmark.expect_exact("Using prepared statements: no")
benchmark.expect_exact("Multi-threaded Topology:")
close_benchmark(benchmark)
check_exit_status(benchmark)
# Run TPC-H and create query plan visualizations. Test that pruning works end-to-end, that is from the command line
# parameter all the way to the visualizer.
arguments = {}
arguments["--scale"] = ".01"
arguments["--chunk_size"] = "10000"
arguments["--queries"] = "'6'"
arguments["--runs"] = "1"
arguments["--visualize"] = "true"
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCH",
True)
benchmark.expect_exact(
"Visualizing the plans into SVG files. This will make the performance numbers invalid."
)
benchmark.expect_exact("Chunk size is 10000")
benchmark.expect_exact("Benchmarking Queries: [ 6 ]")
close_benchmark(benchmark)
check_exit_status(benchmark)
visualization_file = "TPC-H_06-PQP.svg"
if not os.path.isfile(visualization_file):
print("ERROR: Cannot find visualization file " + visualization_file)
sys.exit(1)
with open(visualization_file) as f:
# Check whether the (a) the GetTable node exists and (b) the chunk count is correct for the given scale factor
if "/7 chunk(s)" not in f.read():
print(
"ERROR: Did not find expected pruning information in the visualization file"
)
sys.exit(1)
if return_error:
sys.exit(1)
# The next two TPC-H runs are executed to create output files with which we check the output of the
# compare_benchmark.py script.
output_filename_1 = f"{build_dir}/tpch_output_1.json"
output_filename_2 = f"{build_dir}/tpch_output_2.json"
arguments = {}
arguments["--scale"] = ".01"
arguments["--chunk_size"] = "10000"
arguments["--queries"] = "'2,6,15'"
arguments["--runs"] = "10"
arguments["--output"] = output_filename_1
arguments["--dont_cache_binary_tables"] = "true"
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCH",
True)
benchmark.expect_exact(
f"Writing benchmark results to '{output_filename_1}'")
close_benchmark(benchmark)
check_exit_status(benchmark)
arguments["--output"] = output_filename_2
arguments["--scheduler"] = True
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCH",
True)
benchmark.expect_exact(
f"Writing benchmark results to '{output_filename_2}'")
close_benchmark(benchmark)
check_exit_status(benchmark)
CompareBenchmarkScriptTest(compare_benchmarks_path, output_filename_1,
output_filename_2).run()
def main():
build_dir = initialize()
return_error = False
arguments = {}
arguments["--table_path"] = "'resources/test_data/imdb_sample/'"
arguments["--queries"] = "'21c,22b,23c,24a'"
arguments["--time"] = "10"
arguments["--runs"] = "100"
arguments["--output"] = "'json_output.txt'"
arguments["--mode"] = "'Shuffled'"
arguments["--encoding"] = "'Unencoded'"
arguments["--clients"] = "1"
arguments["--scheduler"] = "false"
# Binary tables would be written into the table_path. In CI, this path is shared by different targets that are
# potentially executed concurrently. This sometimes led to issues with corrupted binary files.
arguments["--dont_cache_binary_tables"] = "true"
os.system(f'rm -rf {arguments["--table_path"]}/*.bin')
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkJoinOrder", True)
benchmark.expect_exact("Writing benchmark results to 'json_output.txt'")
benchmark.expect_exact("Running in single-threaded mode")
benchmark.expect_exact("1 simulated client is scheduling items")
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("Encoding is 'Unencoded'")
benchmark.expect_exact("Max runs per item is 100")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("No warmup runs are performed")
benchmark.expect_exact("Not caching tables as binary files")
benchmark.expect_exact("Retrieving the IMDB dataset.")
benchmark.expect_exact("IMDB setup already complete, no setup action required")
benchmark.expect_exact("Benchmarking queries from third_party/join-order-benchmark")
benchmark.expect_exact("Running on tables from resources/test_data/imdb_sample/")
benchmark.expect_exact("Running subset of queries: 21c,22b,23c,24a")
benchmark.expect_exact("-> Executed")
close_benchmark(benchmark)
check_exit_status(benchmark)
if not os.path.isfile(arguments["--output"].replace("'", "")):
print("ERROR: Cannot find output file " + arguments["--output"])
return_error = True
with open(arguments["--output"].replace("'", "")) as f:
output = json.load(f)
return_error = check_json(not output["summary"]["table_size_in_bytes"], 0, "Table size is zero.", return_error)
for i in range(0, 4):
return_error = check_json(
output["benchmarks"][i]["name"],
arguments["--queries"].replace("'", "").split(",")[i],
"Query doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["max_duration"],
int(arguments["--time"]) * 1e9,
"Max duration doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["max_runs"], int(arguments["--runs"]), "Max runs don't match with JSON:", return_error
)
return_error = check_json(
output["context"]["benchmark_mode"],
arguments["--mode"].replace("'", ""),
"Benchmark mode doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["encoding"]["default"]["encoding"],
arguments["--encoding"].replace("'", ""),
"Encoding doesn't match with JSON:",
return_error,
)
return_error = check_json(
str(output["context"]["using_scheduler"]).lower(),
arguments["--scheduler"],
"Scheduler doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["clients"], int(arguments["--clients"]), "Client count doesn't match with JSON:", return_error
)
os.system(f'rm -rf {arguments["--table_path"]}/*.bin')
arguments = {}
arguments["--table_path"] = "'resources/test_data/imdb_sample/'"
arguments["--time"] = "10"
arguments["--runs"] = "2"
arguments["--warmup"] = "2"
arguments["--encoding"] = "'LZ4'"
arguments["--compression"] = "'SIMD-BP128'"
arguments["--scheduler"] = "true"
arguments["--clients"] = "4"
arguments["--chunk_size"] = "100000"
arguments["--verify"] = "true"
arguments["--dont_cache_binary_tables"] = "true"
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkJoinOrder", True)
benchmark.expect_exact("Running in multi-threaded mode using all available cores")
benchmark.expect_exact("4 simulated clients are scheduling items in parallel")
benchmark.expect_exact("Running benchmark in 'Ordered' mode")
benchmark.expect_exact("Encoding is 'LZ4'")
benchmark.expect_exact("Chunk size is 100000")
benchmark.expect_exact("Max runs per item is 2")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("Warmup duration per item is 2 seconds")
benchmark.expect_exact(
"Automatically verifying results with SQLite. This will make the performance numbers invalid."
)
benchmark.expect_exact("Benchmarking queries from third_party/join-order-benchmark")
benchmark.expect_exact("Running on tables from resources/test_data/imdb_sample/")
benchmark.expect_exact("Multi-threaded Topology:")
benchmark.expect_exact("- Warming up for 10a")
benchmark.expect_exact("- Benchmarking 10a")
close_benchmark(benchmark)
check_exit_status(benchmark)
if return_error:
sys.exit(1)
def main():
build_dir = initialize()
compare_benchmarks_path = f"{build_dir}/../scripts/compare_benchmarks.py"
output_filename_1 = f"{build_dir}/file_based_output_1.json"
return_error = False
arguments = {}
arguments["--table_path"] = "'resources/test_data/tbl/file_based/'"
arguments["--query_path"] = "'resources/test_data/queries/file_based/'"
arguments["--queries"] = "'select_statement'"
arguments["--time"] = "10"
arguments["--runs"] = "100"
arguments["--output"] = output_filename_1
arguments["--mode"] = "'Shuffled'"
arguments["--encoding"] = "'Unencoded'"
arguments["--scheduler"] = "false"
arguments["--clients"] = "1"
# Binary tables would be written into the table_path. In CI, this path is shared by different targets that are
# potentially executed concurrently. This sometimes led to issues with corrupted binary files.
arguments["--dont_cache_binary_tables"] = "true"
os.system(f'rm -rf {arguments["--table_path"]}/*.bin')
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkFileBased", True)
benchmark.expect_exact(f"Writing benchmark results to '{output_filename_1}'")
benchmark.expect_exact("Running in single-threaded mode")
benchmark.expect_exact("1 simulated client is scheduling items")
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("Encoding is 'Unencoded'")
benchmark.expect_exact("Max runs per item is 100")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("No warmup runs are performed")
benchmark.expect_exact("Not caching tables as binary files")
benchmark.expect_exact("Benchmarking queries from resources/test_data/queries/file_based/")
benchmark.expect_exact("Running on tables from resources/test_data/tbl/file_based/")
benchmark.expect_exact("Running subset of queries: select_statement")
benchmark.expect_exact("-> Executed")
close_benchmark(benchmark)
check_exit_status(benchmark)
output_filename_2 = f"{build_dir}/file_based_output_1.json"
# Second run for compare_benchmark.py test
arguments["--output"] = output_filename_2
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkFileBased", True)
benchmark.expect_exact(f"Writing benchmark results to '{output_filename_2}'")
close_benchmark(benchmark)
check_exit_status(benchmark)
CompareBenchmarkScriptTest(compare_benchmarks_path, output_filename_1, output_filename_2).run()
if not os.path.isfile(arguments["--output"].replace("'", "")):
print("ERROR: Cannot find output file " + arguments["--output"])
return_error = True
with open(arguments["--output"].replace("'", "")) as f:
output = json.load(f)
return_error = check_json(not output["summary"]["table_size_in_bytes"], 0, "Table size is zero.", return_error)
return_error = check_json(
output["benchmarks"][0]["name"],
arguments["--queries"].replace("'", "").split(",")[0],
"Query doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["max_duration"],
int(arguments["--time"]) * 1e9,
"Max duration doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["max_runs"], int(arguments["--runs"]), "Max runs don't match with JSON:", return_error
)
return_error = check_json(
output["context"]["benchmark_mode"],
arguments["--mode"].replace("'", ""),
"Benchmark mode doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["encoding"]["default"]["encoding"],
arguments["--encoding"].replace("'", ""),
"Encoding doesn't match with JSON:",
return_error,
)
return_error = check_json(
str(output["context"]["using_scheduler"]).lower(),
arguments["--scheduler"],
"Scheduler doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["clients"], int(arguments["--clients"]), "Client count doesn't match with JSON:", return_error
)
arguments = {}
arguments["--table_path"] = "'resources/test_data/tbl/file_based/'"
arguments["--query_path"] = "'resources/test_data/queries/file_based/'"
arguments["--queries"] = "'select_statement'"
arguments["--time"] = "10"
arguments["--runs"] = "100"
arguments["--warmup"] = "5"
arguments["--encoding"] = "'LZ4'"
arguments["--compression"] = "'SIMD-BP128'"
arguments["--scheduler"] = "true"
arguments["--clients"] = "4"
arguments["--verify"] = "true"
arguments["--dont_cache_binary_tables"] = "true"
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkFileBased", True)
benchmark.expect_exact("Running in multi-threaded mode using all available cores")
benchmark.expect_exact("4 simulated clients are scheduling items in parallel")
benchmark.expect_exact("Running benchmark in 'Ordered' mode")
benchmark.expect_exact("Encoding is 'LZ4'")
benchmark.expect_exact("Max runs per item is 100")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("Warmup duration per item is 5 seconds")
benchmark.expect_exact(
"Automatically verifying results with SQLite. This will make the performance numbers invalid."
)
benchmark.expect_exact("Benchmarking queries from resources/test_data/queries/file_based/")
benchmark.expect_exact("Running on tables from resources/test_data/tbl/file_based/")
benchmark.expect_exact("Running subset of queries: select_statement")
benchmark.expect_exact("Multi-threaded Topology:")
close_benchmark(benchmark)
check_exit_status(benchmark)
if return_error:
sys.exit(1)
def main():
return_error = False
arguments = {}
arguments["--table_path"] = "'resources/test_data/tbl/file_based/'"
arguments["--query_path"] = "'resources/test_data/queries/file_based/'"
arguments["--queries"] = "'select_statement'"
arguments["--time"] = "10"
arguments["--runs"] = "100"
arguments["--output"] = "'json_output.txt'"
arguments["--mode"] = "'Shuffled'"
arguments["--encoding"] = "'Unencoded'"
arguments["--scheduler"] = "false"
arguments["--clients"] = "1"
os.system("rm -rf " + arguments["--table_path"] + "/*.bin")
benchmark = initialize(arguments, "hyriseBenchmarkFileBased", True)
benchmark.expect_exact("Writing benchmark results to 'json_output.txt'")
benchmark.expect_exact("Running in single-threaded mode")
benchmark.expect_exact("1 simulated client is scheduling items")
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("Encoding is 'Unencoded'")
benchmark.expect_exact("Max runs per item is 100")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("No warmup runs are performed")
benchmark.expect_exact("Caching tables as binary files")
benchmark.expect_exact(
"Benchmarking queries from resources/test_data/queries/file_based/")
benchmark.expect_exact(
"Running on tables from resources/test_data/tbl/file_based/")
benchmark.expect_exact("Running subset of queries: select_statement")
benchmark.expect_exact("-> Executed")
close_benchmark(benchmark)
check_exit_status(benchmark)
if not glob.glob(arguments["--table_path"].replace("'", "") + "*.bin"):
print("ERROR: Cannot find binary tables in " +
arguments["--table_path"])
return_error = True
os.system("rm -rf " + arguments["--table_path"] + "/*.bin")
if not os.path.isfile(arguments["--output"].replace("'", "")):
print("ERROR: Cannot find output file " + arguments["--output"])
return_error = True
with open(arguments["--output"].replace("'", "")) as f:
output = json.load(f)
return_error = check_json(not output["summary"]["table_size_in_bytes"], 0,
"Table size is zero.", return_error)
return_error = check_json(
output["benchmarks"][0]["name"],
arguments["--queries"].replace("'", "").split(",")[0],
"Query doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["max_duration"],
int(arguments["--time"]) * 1e9,
"Max duration doesn't match with JSON:",
return_error,
)
return_error = check_json(output["context"]["max_runs"],
int(arguments["--runs"]),
"Max runs don't match with JSON:", return_error)
return_error = check_json(
output["context"]["benchmark_mode"],
arguments["--mode"].replace("'", ""),
"Benchmark mode doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["encoding"]["default"]["encoding"],
arguments["--encoding"].replace("'", ""),
"Encoding doesn't match with JSON:",
return_error,
)
return_error = check_json(
str(output["context"]["using_scheduler"]).lower(),
arguments["--scheduler"],
"Scheduler doesn't match with JSON:",
return_error,
)
return_error = check_json(output["context"]["clients"],
int(arguments["--clients"]),
"Client count doesn't match with JSON:",
return_error)
arguments = {}
arguments["--table_path"] = "'resources/test_data/tbl/file_based/'"
arguments["--query_path"] = "'resources/test_data/queries/file_based/'"
arguments["--queries"] = "'select_statement'"
arguments["--time"] = "10"
arguments["--runs"] = "100"
arguments["--warmup"] = "5"
arguments["--encoding"] = "'LZ4'"
arguments["--compression"] = "'SIMD-BP128'"
arguments["--scheduler"] = "true"
arguments["--clients"] = "4"
arguments["--verify"] = "true"
benchmark = initialize(arguments, "hyriseBenchmarkFileBased", True)
benchmark.expect_exact(
"Running in multi-threaded mode using all available cores")
benchmark.expect_exact(
"4 simulated clients are scheduling items in parallel")
benchmark.expect_exact("Running benchmark in 'Ordered' mode")
benchmark.expect_exact("Encoding is 'LZ4'")
benchmark.expect_exact("Max runs per item is 100")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("Warmup duration per item is 5 seconds")
benchmark.expect_exact(
"Automatically verifying results with SQLite. This will make the performance numbers invalid."
)
benchmark.expect_exact(
"Benchmarking queries from resources/test_data/queries/file_based/")
benchmark.expect_exact(
"Running on tables from resources/test_data/tbl/file_based/")
benchmark.expect_exact("Running subset of queries: select_statement")
benchmark.expect_exact("Multi-threaded Topology:")
close_benchmark(benchmark)
check_exit_status(benchmark)
if return_error:
sys.exit(1)
def main():
build_dir = initialize()
compare_benchmarks_path = f"{build_dir}/../scripts/compare_benchmarks.py"
output_filename_1 = f"{build_dir}/tpcc_output_1.json"
# Not explicitly setting all parameters and not testing all lines of the output. Many are tested in the TPCH test
# and we want to avoid duplication. First TPC-C execution is single-threaded, second is multi-threaded. The third
# execution is done to run the compare_benchmark script tests.
arguments = {}
arguments["--scale"] = "2"
arguments["--time"] = "30"
arguments["--verify"] = "true"
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCC",
True)
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("TPC-C scale factor (number of warehouses) is 2")
benchmark.expect_exact("Consistency checks passed")
close_benchmark(benchmark)
check_exit_status(benchmark)
arguments = {}
arguments["--scale"] = "1"
arguments["--time"] = "60"
arguments["--consistency_checks"] = "true"
arguments["--scheduler"] = "true"
arguments["--clients"] = "10"
arguments["--output"] = output_filename_1
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCC",
True)
benchmark.expect_exact(
f"Writing benchmark results to '{output_filename_1}'")
benchmark.expect_exact(
"Running in multi-threaded mode using all available cores")
benchmark.expect_exact(
"10 simulated clients are scheduling items in parallel")
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("TPC-C scale factor (number of warehouses) is 1")
benchmark.expect_exact("Results for Delivery")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Results for New-Order")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Results for Order-Status")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Results for Payment")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Results for Stock-Level")
benchmark.expect_exact("-> Executed")
benchmark.expect_exact("Consistency checks passed")
close_benchmark(benchmark)
check_exit_status(benchmark)
output_filename_2 = f"{build_dir}/tpcc_output_2.json"
arguments = {}
arguments["--scale"] = "1"
arguments["--time"] = "30"
arguments["--clients"] = "1"
arguments["--output"] = output_filename_2
benchmark = run_benchmark(build_dir, arguments, "hyriseBenchmarkTPCC",
True)
benchmark.expect_exact(
f"Writing benchmark results to '{output_filename_2}'")
close_benchmark(benchmark)
check_exit_status(benchmark)
CompareBenchmarkScriptTest(compare_benchmarks_path, output_filename_1,
output_filename_2).run()
def main():
return_error = False
arguments = {}
arguments["--scale"] = ".01"
arguments["--use_prepared_statements"] = "true"
arguments["--queries"] = "'1,13,19'"
arguments["--time"] = "10"
arguments["--runs"] = "-1"
arguments["--output"] = "'json_output.txt'"
arguments["--mode"] = "'Shuffled'"
arguments["--encoding"] = "'Dictionary'"
arguments["--compression"] = "'Fixed-size byte-aligned'"
arguments["--indexes"] = "true"
arguments["--scheduler"] = "false"
arguments["--clients"] = "1"
arguments["--dont_cache_binary_tables"] = "true"
benchmark = initialize(arguments, "hyriseBenchmarkTPCH", True)
benchmark.expect_exact("Writing benchmark results to 'json_output.txt'")
benchmark.expect_exact("Running in single-threaded mode")
benchmark.expect_exact("1 simulated client is scheduling items")
benchmark.expect_exact("Running benchmark in 'Shuffled' mode")
benchmark.expect_exact("Encoding is 'Dictionary'")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("No warmup runs are performed")
benchmark.expect_exact("Not caching tables as binary files")
benchmark.expect_exact("Benchmarking Queries: [ 1, 13, 19 ]")
benchmark.expect_exact("TPCH scale factor is 0.01")
benchmark.expect_exact("Using prepared statements: yes")
benchmark.expect_exact("Creating index on customer [ c_custkey ]")
benchmark.expect_exact("Preparing queries")
close_benchmark(benchmark)
check_exit_status(benchmark)
if not os.path.isfile(arguments["--output"].replace("'", "")):
print("ERROR: Cannot find output file " + arguments["--output"])
return_error = True
with open(arguments["--output"].replace("'", "")) as f:
output = json.load(f)
return_error = check_json(not output["summary"]["table_size_in_bytes"], 0,
"Table size is zero.", return_error)
return_error = check_json(
output["context"]["scale_factor"],
float(arguments["--scale"]),
"Scale factor doesn't match with JSON:",
return_error,
0.001,
)
for i in range(0, 3):
return_error = check_json(
output["benchmarks"][i]["name"].replace("TPC-H 0",
"").replace("TPC-H ", ""),
arguments["--queries"].replace("'", "").split(",")[i],
"Query doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["max_duration"],
int(arguments["--time"]) * 1e9,
"Max duration doesn't match with JSON:",
return_error,
)
return_error = check_json(output["context"]["max_runs"],
int(arguments["--runs"]),
"Max runs don't match with JSON:", return_error)
return_error = check_json(
output["context"]["benchmark_mode"],
arguments["--mode"].replace("'", ""),
"Benchmark mode doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["encoding"]["default"]["encoding"],
arguments["--encoding"].replace("'", ""),
"Encoding doesn't match with JSON:",
return_error,
)
return_error = check_json(
output["context"]["encoding"]["default"]["compression"],
arguments["--compression"].replace("'", ""),
"Compression doesn't match with JSON:",
return_error,
)
return_error = check_json(
str(output["context"]["using_scheduler"]).lower(),
arguments["--scheduler"],
"Scheduler doesn't match with JSON:",
return_error,
)
return_error = check_json(output["context"]["clients"],
int(arguments["--clients"]),
"Client count doesn't match with JSON:",
return_error)
arguments = {}
arguments["--scale"] = ".01"
arguments["--chunk_size"] = "10000"
arguments["--queries"] = "'2,4,6'"
arguments["--time"] = "10"
arguments["--runs"] = "100"
arguments["--warmup"] = "10"
arguments["--encoding"] = "'LZ4'"
arguments["--compression"] = "'SIMD-BP128'"
arguments["--indexes"] = "false"
arguments["--scheduler"] = "true"
arguments["--clients"] = "4"
arguments["--verify"] = "true"
benchmark = initialize(arguments, "hyriseBenchmarkTPCH", True)
benchmark.expect_exact(
"Running in multi-threaded mode using all available cores")
benchmark.expect_exact(
"4 simulated clients are scheduling items in parallel")
benchmark.expect_exact("Running benchmark in 'Ordered' mode")
benchmark.expect_exact("Encoding is 'LZ4'")
benchmark.expect_exact("Chunk size is 10000")
benchmark.expect_exact("Max runs per item is 100")
benchmark.expect_exact("Max duration per item is 10 seconds")
benchmark.expect_exact("Warmup duration per item is 10 seconds")
benchmark.expect_exact("Benchmarking Queries: [ 2, 4, 6 ]")
benchmark.expect_exact("TPCH scale factor is 0.01")
benchmark.expect_exact("Using prepared statements: no")
benchmark.expect_exact("Multi-threaded Topology:")
close_benchmark(benchmark)
check_exit_status(benchmark)
# Finally test that pruning works end-to-end, that is from the command line parameter all the way to the visualizer
arguments = {}
arguments["--scale"] = ".01"
arguments["--chunk_size"] = "10000"
arguments["--queries"] = "'6'"
arguments["--runs"] = "1"
arguments["--visualize"] = "true"
benchmark = initialize(arguments, "hyriseBenchmarkTPCH", True)
benchmark.expect_exact(
"Visualizing the plans into SVG files. This will make the performance numbers invalid."
)
benchmark.expect_exact("Chunk size is 10000")
benchmark.expect_exact("Benchmarking Queries: [ 6 ]")
close_benchmark(benchmark)
check_exit_status(benchmark)
visualization_file = "TPC-H_06-PQP.svg"
if not os.path.isfile(visualization_file):
print("ERROR: Cannot find visualization file " + visualization_file)
sys.exit(1)
with open(visualization_file) as f:
# Check whether the (a) the GetTable node exists and (b) the chunk count is correct for the given scale factor
if "/7 chunk(s)" not in f.read():
print(
"ERROR: Did not find expected pruning information in the visualization file"
)
sys.exit(1)
if return_error:
sys.exit(1)