def main():
omniscript_path = os.path.dirname(__file__)
omnisci_server = None
args = None
port_default_value = -1
parser = argparse.ArgumentParser(
description="Run internal tests from ibis project")
required = parser._action_groups.pop()
optional = parser.add_argument_group("optional arguments")
omnisci = parser.add_argument_group("omnisci")
benchmark = parser.add_argument_group("benchmark")
mysql = parser.add_argument_group("mysql")
commits = parser.add_argument_group("commits")
possible_tasks = ["build", "test", "benchmark"]
benchmarks = ["ny_taxi", "santander", "census", "plasticc"]
# Task
required.add_argument(
"-task",
dest="task",
required=True,
help=
f"Task for execute {possible_tasks}. Use , separator for multiple tasks",
)
# Environment
required.add_argument("-en",
"--env_name",
dest="env_name",
help="Conda env name.")
optional.add_argument(
"-ec",
"--env_check",
dest="env_check",
default=False,
type=str_arg_to_bool,
help="Check if env exists. If it exists don't recreate.",
)
optional.add_argument(
"-s",
"--save_env",
dest="save_env",
default=False,
type=str_arg_to_bool,
help="Save conda env after executing.",
)
optional.add_argument(
"-r",
"--report_path",
dest="report_path",
default=os.path.join(omniscript_path, ".."),
help="Path to report file.",
)
optional.add_argument(
"-ci",
"--ci_requirements",
dest="ci_requirements",
default=os.path.join(omniscript_path, "ci_requirements.yml"),
help="File with ci requirements for conda env.",
)
optional.add_argument(
"-py",
"--python_version",
dest="python_version",
default="3.7",
help="File with ci requirements for conda env.",
)
# Ibis
required.add_argument(
"-i",
"--ibis_path",
dest="ibis_path",
required=True,
help="Path to ibis directory.",
)
# Ibis tests
optional.add_argument(
"-expression",
dest="expression",
default=" ",
help=
"Run tests which match the given substring test names and their parent "
"classes. Example: 'test_other', while 'not test_method' matches those "
"that don't contain 'test_method' in their names.",
)
# Omnisci server parameters
omnisci.add_argument(
"-executable",
dest="executable",
required=True,
help="Path to omnisci_server executable.",
)
omnisci.add_argument(
"--omnisci_cwd",
dest="omnisci_cwd",
help="Path to omnisci working directory. "
"By default parent directory of executable location is used. "
"Data directory is used in this location.",
)
omnisci.add_argument(
"-port",
dest="port",
default=port_default_value,
type=int,
help="TCP port number to run omnisci_server on.",
)
omnisci.add_argument(
"-http_port",
dest="http_port",
default=port_default_value,
type=int,
help="HTTP port number to run omnisci_server on.",
)
omnisci.add_argument(
"-calcite_port",
dest="calcite_port",
default=port_default_value,
type=int,
help="Calcite port number to run omnisci_server on.",
)
omnisci.add_argument(
"-user",
dest="user",
default="admin",
help="User name to use on omniscidb server.",
)
omnisci.add_argument(
"-password",
dest="password",
default="HyperInteractive",
help="User password to use on omniscidb server.",
)
omnisci.add_argument(
"-database_name",
dest="database_name",
default="agent_test_ibis",
help="Database name to use in omniscidb server.",
)
omnisci.add_argument(
"-table",
dest="table",
default="benchmark_table",
help="Table name name to use in omniscidb server.",
)
omnisci.add_argument(
"-ipc_conn",
dest="ipc_connection",
default=True,
type=str_arg_to_bool,
help="Table name name to use in omniscidb server.",
)
# Benchmark parameters
benchmark.add_argument(
"-bench_name",
dest="bench_name",
choices=benchmarks,
help="Benchmark name.",
)
benchmark.add_argument(
"-data_file",
dest="data_file",
help="A datafile that should be loaded.",
)
benchmark.add_argument(
"-dfiles_num",
dest="dfiles_num",
default=1,
type=int,
help="Number of datafiles to input into database for processing.",
)
benchmark.add_argument(
"-iterations",
dest="iterations",
default=1,
type=int,
help=
"Number of iterations to run every query. Best result is selected.",
)
benchmark.add_argument("-dnd",
default=False,
type=str_arg_to_bool,
help="Do not delete old table.")
benchmark.add_argument(
"-dni",
default=False,
type=str_arg_to_bool,
help="Do not create new table and import any data from CSV files.",
)
benchmark.add_argument(
"-validation",
dest="validation",
default=False,
type=str_arg_to_bool,
help=
"validate queries results (by comparison with Pandas queries results).",
)
benchmark.add_argument(
"-optimizer",
choices=["intel", "stock"],
dest="optimizer",
default="intel",
help="Which optimizer is used",
)
benchmark.add_argument(
"-no_ibis",
default=False,
type=str_arg_to_bool,
help="Do not run Ibis benchmark, run only Pandas (or Modin) version",
)
benchmark.add_argument(
"-pandas_mode",
choices=["Pandas", "Modin_on_ray", "Modin_on_dask", "Modin_on_python"],
default="Pandas",
help="Specifies which version of Pandas to use: "
"plain Pandas, Modin runing on Ray or on Dask",
)
benchmark.add_argument(
"-ray_tmpdir",
default="/tmp",
help="Location where to keep Ray plasma store. "
"It should have enough space to keep -ray_memory",
)
benchmark.add_argument(
"-ray_memory",
default=200 * 1024 * 1024 * 1024,
help="Size of memory to allocate for Ray plasma store",
)
benchmark.add_argument(
"-no_ml",
default=False,
type=str_arg_to_bool,
help="Do not run machine learning benchmark, only ETL part",
)
optional.add_argument(
"-gpu_memory",
dest="gpu_memory",
type=int,
help="specify the memory of your gpu, default 16. "
"(This controls the lines to be used. Also work for CPU version. )",
default=16,
)
# MySQL database parameters
mysql.add_argument(
"-db_server",
dest="db_server",
default="localhost",
help="Host name of MySQL server.",
)
mysql.add_argument(
"-db_port",
dest="db_port",
default=3306,
type=int,
help="Port number of MySQL server.",
)
mysql.add_argument(
"-db_user",
dest="db_user",
help="Username to use to connect to MySQL database. "
"If user name is specified, script attempts to store results in MySQL "
"database using other -db-* parameters.",
)
mysql.add_argument(
"-db_pass",
dest="db_pass",
default="omniscidb",
help="Password to use to connect to MySQL database.",
)
mysql.add_argument(
"-db_name",
dest="db_name",
default="omniscidb",
help="MySQL database to use to store benchmark results.",
)
optional.add_argument(
"-db_table_etl",
dest="db_table_etl",
help="Table to use to store ETL results for this benchmark.",
)
optional.add_argument(
"-db_table_ml",
dest="db_table_ml",
help="Table to use to store ML results for this benchmark.",
)
# Additional information
commits.add_argument(
"-commit_omnisci",
dest="commit_omnisci",
default="1234567890123456789012345678901234567890",
help="Omnisci commit hash to use for tests.",
)
commits.add_argument(
"-commit_ibis",
dest="commit_ibis",
default="1234567890123456789012345678901234567890",
help="Ibis commit hash to use for tests.",
)
try:
args = parser.parse_args()
os.environ["IBIS_TEST_OMNISCIDB_DATABASE"] = args.database_name
os.environ["IBIS_TEST_DATA_DB"] = args.database_name
os.environ["IBIS_TEST_OMNISCIDB_PORT"] = str(args.port)
os.environ["PYTHONIOENCODING"] = "UTF-8"
os.environ["PYTHONUNBUFFERED"] = "1"
if args.port == port_default_value:
args.port = find_free_port()
if args.http_port == port_default_value:
args.http_port = find_free_port()
if args.calcite_port == port_default_value:
args.calcite_port = find_free_port()
required_tasks = args.task.split(",")
tasks = {}
for task in possible_tasks:
tasks[task] = True if task in required_tasks else False
if True not in list(tasks.values()):
print(
f"Only {list(tasks.keys())} are supported, {required_tasks} cannot find possible tasks"
)
sys.exit(1)
if args.python_version not in ["3.7", "3,6"]:
print(
f"Only 3.7 and 3.6 python versions are supported, {args.python_version} is not supported"
)
sys.exit(1)
ibis_requirements = os.path.join(
args.ibis_path, "ci",
f"requirements-{args.python_version}-dev.yml")
requirements_file = "requirements.yml"
conda_env = CondaEnvironment(args.env_name)
print("PREPARING ENVIRONMENT")
combinate_requirements(ibis_requirements, args.ci_requirements,
requirements_file)
conda_env.create(args.env_check, requirements_file=requirements_file)
if tasks["build"]:
install_ibis_cmdline = [
"python3", os.path.join("setup.py"), "install"
]
print("IBIS INSTALLATION")
conda_env.run(install_ibis_cmdline,
cwd=args.ibis_path,
print_output=False)
if tasks["test"]:
ibis_data_script = os.path.join(args.ibis_path, "ci", "datamgr.py")
dataset_download_cmdline = [
"python3", ibis_data_script, "download"
]
dataset_import_cmdline = [
"python3",
ibis_data_script,
"omniscidb",
"-P",
str(args.port),
"--database",
args.database_name,
]
report_file_name = (
f"report-{args.commit_ibis[:8]}-{args.commit_omnisci[:8]}.html"
)
if not os.path.isdir(args.report_path):
os.makedirs(args.report_path)
report_file_path = os.path.join(args.report_path, report_file_name)
ibis_tests_cmdline = [
"pytest",
"-m",
"omniscidb",
"--disable-pytest-warnings",
"-k",
args.expression,
f"--html={report_file_path}",
]
print("STARTING OMNISCI SERVER")
omnisci_server = OmnisciServer(
omnisci_executable=args.executable,
omnisci_port=args.port,
http_port=args.http_port,
calcite_port=args.calcite_port,
database_name=args.database_name,
omnisci_cwd=args.omnisci_cwd,
user=args.user,
password=args.password,
)
omnisci_server.launch()
print("PREPARING DATA")
conda_env.run(dataset_download_cmdline)
conda_env.run(dataset_import_cmdline)
print("RUNNING TESTS")
conda_env.run(ibis_tests_cmdline, cwd=args.ibis_path)
if tasks["benchmark"]:
# if not args.bench_name or args.bench_name not in benchmarks:
# print(
# f"Benchmark {args.bench_name} is not supported, only {benchmarks} are supported")
# sys.exit(1)
if not args.data_file:
print(
f"Parameter --data_file was received empty, but it is required for benchmarks"
)
sys.exit(1)
benchmark_script_path = os.path.join(omniscript_path,
"run_ibis_benchmark.py")
benchmark_cmd = ["python3", benchmark_script_path]
possible_benchmark_args = [
"bench_name",
"data_file",
"dfiles_num",
"iterations",
"dnd",
"dni",
"validation",
"optimizer",
"no_ibis",
"pandas_mode",
"ray_tmpdir",
"ray_memory",
"no_ml",
"gpu_memory",
"db_server",
"db_port",
"db_user",
"db_pass",
"db_name",
"db_table_etl",
"db_table_ml",
"executable",
"omnisci_cwd",
"port",
"http_port",
"calcite_port",
"user",
"password",
"ipc_connection",
"database_name",
"table",
"commit_omnisci",
"commit_ibis",
]
args_dict = vars(args)
args_dict["data_file"] = f"'{args_dict['data_file']}'"
for arg_name in list(parser._option_string_actions.keys()):
try:
pure_arg = re.sub(r"^--*", "", arg_name)
if pure_arg in possible_benchmark_args:
arg_value = args_dict[pure_arg]
if arg_value:
benchmark_cmd.extend([arg_name, str(arg_value)])
except KeyError:
pass
print(benchmark_cmd)
conda_env.run(benchmark_cmd)
except Exception:
traceback.print_exc(file=sys.stdout)
sys.exit(1)
finally:
if omnisci_server:
omnisci_server.terminate()
if args and args.save_env is False:
conda_env.remove()
def main():
omniscript_path = os.path.dirname(__file__)
omnisci_server = None
args = None
port_default_value = -1
parser = argparse.ArgumentParser(description="Run internal tests from ibis project")
required = parser.add_argument_group("common")
optional = parser.add_argument_group("optional arguments")
omnisci = parser.add_argument_group("omnisci")
benchmark = parser.add_argument_group("benchmark")
mysql = parser.add_argument_group("mysql")
commits = parser.add_argument_group("commits")
possible_tasks = ["build", "test", "benchmark"]
benchmarks = ["ny_taxi", "santander", "census", "plasticc", "mortgage", "h2o"]
# Task
required.add_argument(
"-task",
dest="task",
required=True,
help=f"Task for execute {possible_tasks}. Use , separator for multiple tasks",
)
# Environment
required.add_argument("-en", "--env_name", dest="env_name", help="Conda env name.")
optional.add_argument(
"-ec",
"--env_check",
dest="env_check",
default=False,
type=str_arg_to_bool,
help="Check if env exists. If it exists don't recreate.",
)
optional.add_argument(
"-s",
"--save_env",
dest="save_env",
default=False,
type=str_arg_to_bool,
help="Save conda env after executing.",
)
optional.add_argument(
"-r",
"--report_path",
dest="report_path",
default=os.path.join(omniscript_path, ".."),
help="Path to report file.",
)
optional.add_argument(
"-ci",
"--ci_requirements",
dest="ci_requirements",
default=os.path.join(omniscript_path, "ci_requirements.yml"),
help="File with ci requirements for conda env.",
)
optional.add_argument(
"-py",
"--python_version",
dest="python_version",
default="3.7",
help="File with ci requirements for conda env.",
)
# Ibis
optional.add_argument(
"-i", "--ibis_path", dest="ibis_path", required=False, help="Path to ibis directory."
)
# Ibis tests
optional.add_argument(
"-expression",
dest="expression",
default=" ",
help="Run tests which match the given substring test names and their parent "
"classes. Example: 'test_other', while 'not test_method' matches those "
"that don't contain 'test_method' in their names.",
)
# Modin
optional.add_argument(
"-m", "--modin_path", dest="modin_path", default=None, help="Path to modin directory."
)
optional.add_argument(
"--modin_pkgs_dir",
dest="modin_pkgs_dir",
default=None,
type=str,
help="Path where to store built Modin dependencies (--target flag for pip), can be helpful if you have space limited home directory.",
)
optional.add_argument(
"--manage_dbe_dir",
dest="manage_dbe_dir",
default=False,
type=str_arg_to_bool,
help="Manage (create and initialize) DBE data directory on the 'build' step.",
)
# Omnisci server parameters
omnisci.add_argument(
"-executable", dest="executable", required=False, help="Path to omnisci_server executable."
)
omnisci.add_argument(
"-omnisci_cwd",
dest="omnisci_cwd",
help="Path to omnisci working directory. "
"By default parent directory of executable location is used. "
"Data directory is used in this location.",
)
omnisci.add_argument(
"-port",
dest="port",
default=port_default_value,
type=int,
help="TCP port number to run omnisci_server on.",
)
omnisci.add_argument(
"-http_port",
dest="http_port",
default=port_default_value,
type=int,
help="HTTP port number to run omnisci_server on.",
)
omnisci.add_argument(
"-calcite_port",
dest="calcite_port",
default=port_default_value,
type=int,
help="Calcite port number to run omnisci_server on.",
)
omnisci.add_argument(
"-user", dest="user", default="admin", help="User name to use on omniscidb server."
)
omnisci.add_argument(
"-password",
dest="password",
default="HyperInteractive",
help="User password to use on omniscidb server.",
)
omnisci.add_argument(
"-database_name",
dest="database_name",
default="agent_test_ibis",
help="Database name to use in omniscidb server.",
)
omnisci.add_argument(
"-table",
dest="table",
default="benchmark_table",
help="Table name name to use in omniscidb server.",
)
omnisci.add_argument(
"-ipc_conn",
dest="ipc_conn",
default=True,
type=str_arg_to_bool,
help="Connection type for ETL operations",
)
omnisci.add_argument(
"-debug_timer",
dest="debug_timer",
default=False,
type=str_arg_to_bool,
help="Enable fine-grained query execution timers for debug.",
)
omnisci.add_argument(
"-columnar_output",
dest="columnar_output",
default=True,
type=str_arg_to_bool,
help="Allows OmniSci Core to directly materialize intermediate projections \
and the final ResultSet in Columnar format where appropriate.",
)
omnisci.add_argument(
"-lazy_fetch",
dest="lazy_fetch",
default=None,
type=str_arg_to_bool,
help="[lazy_fetch help message]",
)
omnisci.add_argument(
"-multifrag_rs",
dest="multifrag_rs",
default=None,
type=str_arg_to_bool,
help="[multifrag_rs help message]",
)
omnisci.add_argument(
"-fragments_size",
dest="fragments_size",
default=None,
nargs="*",
type=int,
help="Number of rows per fragment that is a unit of the table for query processing. \
Should be specified for each table in workload",
)
omnisci.add_argument(
"-omnisci_run_kwargs",
dest="omnisci_run_kwargs",
default={},
metavar="KEY1=VAL1,KEY2=VAL2...",
action=KeyValueListParser,
help="options to start omnisci server",
)
# Benchmark parameters
benchmark.add_argument(
"-bench_name", dest="bench_name", choices=benchmarks, help="Benchmark name."
)
benchmark.add_argument(
"-data_file", dest="data_file", help="A datafile that should be loaded."
)
benchmark.add_argument(
"-dfiles_num",
dest="dfiles_num",
default=None,
type=int,
help="Number of datafiles to input into database for processing.",
)
benchmark.add_argument(
"-iterations",
dest="iterations",
default=1,
type=int,
help="Number of iterations to run every query. Best result is selected.",
)
benchmark.add_argument(
"-dnd", default=False, type=str_arg_to_bool, help="Do not delete old table."
)
benchmark.add_argument(
"-dni",
default=False,
type=str_arg_to_bool,
help="Do not create new table and import any data from CSV files.",
)
benchmark.add_argument(
"-validation",
dest="validation",
default=False,
type=str_arg_to_bool,
help="validate queries results (by comparison with Pandas queries results).",
)
benchmark.add_argument(
"-import_mode",
dest="import_mode",
default="fsi",
help="you can choose: {copy-from, pandas, fsi}",
)
benchmark.add_argument(
"-optimizer",
choices=["intel", "stock"],
dest="optimizer",
default=None,
help="Which optimizer is used",
)
benchmark.add_argument(
"-no_ibis",
default=False,
type=str_arg_to_bool,
help="Do not run Ibis benchmark, run only Pandas (or Modin) version",
)
benchmark.add_argument(
"-no_pandas",
default=False,
type=str_arg_to_bool,
help="Do not run Pandas version of benchmark",
)
benchmark.add_argument(
"-pandas_mode",
choices=["Pandas", "Modin_on_ray", "Modin_on_dask", "Modin_on_python", "Modin_on_omnisci"],
default="Pandas",
help="Specifies which version of Pandas to use: "
"plain Pandas, Modin runing on Ray or on Dask",
)
benchmark.add_argument(
"-ray_tmpdir",
default="/tmp",
help="Location where to keep Ray plasma store. "
"It should have enough space to keep -ray_memory",
)
benchmark.add_argument(
"-ray_memory",
default=200 * 1024 * 1024 * 1024,
type=int,
help="Size of memory to allocate for Ray plasma store",
)
benchmark.add_argument(
"-no_ml",
default=None,
type=str_arg_to_bool,
help="Do not run machine learning benchmark, only ETL part",
)
optional.add_argument(
"-gpu_memory",
dest="gpu_memory",
type=int,
help="specify the memory of your gpu"
"(This controls the lines to be used. Also work for CPU version. )",
default=None,
)
benchmark.add_argument(
"-extended_functionality",
dest="extended_functionality",
default=False,
type=str_arg_to_bool,
help="Extends functionality of H2O benchmark by adding 'chk' functions and verbose local reporting of results",
)
# MySQL database parameters
mysql.add_argument(
"-db_server", dest="db_server", default="localhost", help="Host name of MySQL server."
)
mysql.add_argument(
"-db_port", dest="db_port", default=3306, type=int, help="Port number of MySQL server."
)
mysql.add_argument(
"-db_user",
dest="db_user",
help="Username to use to connect to MySQL database. "
"If user name is specified, script attempts to store results in MySQL "
"database using other -db-* parameters.",
)
mysql.add_argument(
"-db_pass",
dest="db_pass",
default="omniscidb",
help="Password to use to connect to MySQL database.",
)
mysql.add_argument(
"-db_name",
dest="db_name",
default="omniscidb",
help="MySQL database to use to store benchmark results.",
)
optional.add_argument(
"-db_table_etl",
dest="db_table_etl",
help="Table to use to store ETL results for this benchmark.",
)
optional.add_argument(
"-db_table_ml",
dest="db_table_ml",
help="Table to use to store ML results for this benchmark.",
)
# Additional information
commits.add_argument(
"-commit_omnisci",
dest="commit_omnisci",
default="1234567890123456789012345678901234567890",
help="Omnisci commit hash used for tests.",
)
commits.add_argument(
"-commit_ibis",
dest="commit_ibis",
default="1234567890123456789012345678901234567890",
help="Ibis commit hash used for tests.",
)
commits.add_argument(
"-commit_omniscripts",
dest="commit_omniscripts",
default="1234567890123456789012345678901234567890",
help="Omniscripts commit hash used for tests.",
)
commits.add_argument(
"-commit_modin",
dest="commit_modin",
default="1234567890123456789012345678901234567890",
help="Modin commit hash used for tests.",
)
optional.add_argument(
"-debug_mode",
dest="debug_mode",
default=False,
type=str_arg_to_bool,
help="Enable debug mode.",
)
try:
args = parser.parse_args()
os.environ["IBIS_TEST_OMNISCIDB_DATABASE"] = args.database_name
os.environ["IBIS_TEST_DATA_DB"] = args.database_name
os.environ["IBIS_TEST_OMNISCIDB_PORT"] = str(args.port)
os.environ["PYTHONIOENCODING"] = "UTF-8"
os.environ["PYTHONUNBUFFERED"] = "1"
if args.port == port_default_value:
args.port = find_free_port()
if args.http_port == port_default_value:
args.http_port = find_free_port()
if args.calcite_port == port_default_value:
args.calcite_port = find_free_port()
required_tasks = args.task.split(",")
tasks = {}
for task in possible_tasks:
tasks[task] = True if task in required_tasks else False
if True not in list(tasks.values()):
raise ValueError(
f"Only {list(tasks.keys())} are supported, {required_tasks} cannot find possible tasks"
)
if args.python_version not in ["3.7", "3,6"]:
raise NotImplementedError(
f"Only 3.7 and 3.6 python versions are supported, {args.python_version} is not supported"
)
conda_env = CondaEnvironment(args.env_name)
print("PREPARING ENVIRONMENT")
conda_env.create(
args.env_check,
requirements_file=args.ci_requirements,
python_version=args.python_version,
)
if tasks["build"]:
install_cmdline = ["python3", "setup.py", "install"]
if args.ibis_path:
ibis_requirements = os.path.join(
args.ibis_path, "ci", f"requirements-{args.python_version}-dev.yml"
)
install_ibis_reqs_cmdline = [
"conda",
"env",
"update",
"--name",
f"{args.env_name}",
"--file",
ibis_requirements,
]
print("INSTALLATION OF IBIS DEPENDENCIES")
conda_env.run(install_ibis_reqs_cmdline, print_output=False)
print("IBIS INSTALLATION")
conda_env.run(install_cmdline, cwd=args.ibis_path, print_output=False)
if args.modin_path:
install_modin_reqs_cmdline = [
"conda",
"env",
"update",
"--name",
f"{args.env_name}",
"--file",
"environment-dev.yml",
]
if args.modin_pkgs_dir:
os.environ["PYTHONPATH"] = (
os.getenv("PYTHONPATH") + os.pathsep + args.modin_pkgs_dir
if os.getenv("PYTHONPATH")
else args.modin_pkgs_dir
)
print("INSTALLATION OF MODIN DEPENDENCIES")
# Installation of Modin dependencies can proceed with errors. If error occurs, please try to
# rebase your branch to the current Modin master
try:
conda_env.run(
install_modin_reqs_cmdline, cwd=args.modin_path, print_output=False
)
except Exception:
print("INSTALLATION OF MODIN DEPENDENCIES PROCESSED WITH ERRORS")
print("MODIN INSTALLATION")
# Modin installation handled this way because "conda run --name env_name python3 setup.py install"
# (called by "conda_env.run") processed with warning that is not raised via "python3 setup.py install".
# This warning is handled by omniscripts as error, that causing exception raise.
try:
conda_env.run(install_cmdline, cwd=args.modin_path, print_output=False)
except Exception:
print("MODIN INSTALLATION PROCESSED WITH ERRORS")
# trying to install dbe extension if omnisci generated it
executables_path = os.path.dirname(args.executable)
dbe_path = os.path.join(os.path.abspath(f"{executables_path}/.."), "Embedded")
initdb_path = os.path.join(executables_path, "initdb")
data_dir = os.path.join(os.path.dirname(__file__), "data")
initdb_cmdline = [initdb_path, "--data", data_dir]
if not os.path.isdir(data_dir) and args.manage_dbe_dir:
print("MANAGING OMNISCI DATA DIR", data_dir)
os.makedirs(data_dir)
conda_env.run(initdb_cmdline, print_output=False)
if os.path.exists(dbe_path):
print("DBE INSTALLATION")
cmake_cmdline = [
"cmake",
"--install",
"build",
"--component",
"DBE",
"--prefix",
"$CONDA_PREFIX",
]
cmake_qe_cmdline = [
"cmake",
"--install",
"build",
"--component",
"QE",
"--prefix",
"$CONDA_PREFIX",
]
cmake_thrift_cmdline = [
"cmake",
"--install",
"build",
"--component",
"thrift",
"--prefix",
"$CONDA_PREFIX",
]
cmake_jar_cmdline = [
"cmake",
"--install",
"build",
"--component",
"jar",
"--prefix",
"$CONDA_PREFIX",
]
omniscidb_root = os.path.abspath(f"{executables_path}/../../")
conda_env.run(cmake_cmdline, cwd=omniscidb_root, print_output=False)
conda_env.run(cmake_qe_cmdline, cwd=omniscidb_root, print_output=False)
conda_env.run(cmake_thrift_cmdline, cwd=omniscidb_root, print_output=False)
conda_env.run(cmake_jar_cmdline, cwd=omniscidb_root, print_output=False)
conda_env.run(install_cmdline, cwd=dbe_path, print_output=False)
else:
print("Using Omnisci server")
if tasks["test"]:
ibis_data_script = os.path.join(args.ibis_path, "ci", "datamgr.py")
dataset_download_cmdline = ["python3", ibis_data_script, "download"]
dataset_import_cmdline = [
"python3",
ibis_data_script,
"omniscidb",
"-P",
str(args.port),
"--database",
args.database_name,
]
report_file_name = f"report-{args.commit_ibis[:8]}-{args.commit_omnisci[:8]}.html"
if not os.path.isdir(args.report_path):
os.makedirs(args.report_path)
report_file_path = os.path.join(args.report_path, report_file_name)
ibis_tests_cmdline = [
"pytest",
"-m",
"omniscidb",
"--disable-pytest-warnings",
"-k",
args.expression,
f"--html={report_file_path}",
]
print("STARTING OMNISCI SERVER")
omnisci_server = OmnisciServer(
omnisci_executable=args.executable,
omnisci_port=args.port,
http_port=args.http_port,
calcite_port=args.calcite_port,
database_name=args.database_name,
omnisci_cwd=args.omnisci_cwd,
user=args.user,
password=args.password,
debug_timer=args.debug_timer,
columnar_output=args.columnar_output,
lazy_fetch=args.lazy_fetch,
multifrag_rs=args.multifrag_rs,
omnisci_run_kwargs=args.omnisci_run_kwargs,
)
omnisci_server.launch()
print("PREPARING DATA")
conda_env.run(dataset_download_cmdline)
conda_env.run(dataset_import_cmdline)
print("RUNNING TESTS")
conda_env.run(ibis_tests_cmdline, cwd=args.ibis_path)
if tasks["benchmark"]:
# if not args.bench_name or args.bench_name not in benchmarks:
# print(
# f"Benchmark {args.bench_name} is not supported, only {benchmarks} are supported")
# sys.exit(1)
if not args.data_file:
raise ValueError(
"Parameter --data_file was received empty, but it is required for benchmarks"
)
benchmark_script_path = os.path.join(omniscript_path, "run_ibis_benchmark.py")
benchmark_cmd = ["python3", benchmark_script_path]
possible_benchmark_args = [
"bench_name",
"data_file",
"dfiles_num",
"iterations",
"dnd",
"dni",
"validation",
"optimizer",
"no_ibis",
"no_pandas",
"pandas_mode",
"ray_tmpdir",
"ray_memory",
"no_ml",
"gpu_memory",
"db_server",
"db_port",
"db_user",
"db_pass",
"db_name",
"db_table_etl",
"db_table_ml",
"executable",
"omnisci_cwd",
"port",
"http_port",
"calcite_port",
"user",
"password",
"ipc_conn",
"database_name",
"table",
"commit_omnisci",
"commit_ibis",
"import_mode",
"debug_timer",
"columnar_output",
"lazy_fetch",
"multifrag_rs",
"fragments_size",
"omnisci_run_kwargs",
"commit_omniscripts",
"debug_mode",
"extended_functionality",
"commit_modin",
]
args_dict = vars(args)
args_dict["data_file"] = f"'{args_dict['data_file']}'"
for arg_name in list(parser._option_string_actions.keys()):
try:
pure_arg = re.sub(r"^--*", "", arg_name)
if pure_arg in possible_benchmark_args:
arg_value = args_dict[pure_arg]
# correct filling of arguments with default values
if arg_value is not None:
if isinstance(arg_value, dict):
if arg_value:
benchmark_cmd.extend(
[
arg_name,
",".join(
f"{key}={value}"
for key, value in arg_value.items()
),
]
)
elif isinstance(arg_value, (list, tuple)):
if arg_value:
benchmark_cmd.extend([arg_name] + [str(x) for x in arg_value])
else:
benchmark_cmd.extend([arg_name, str(arg_value)])
except KeyError:
pass
print(benchmark_cmd)
conda_env.run(benchmark_cmd)
except Exception:
traceback.print_exc(file=sys.stdout)
raise
finally:
if omnisci_server:
omnisci_server.terminate()
if args and args.save_env is False:
conda_env.remove()
f'-o={args.optimizer}',
'-val',
'-commit_omnisci', args.commit_omnisci,
'-commit_ibis', args.commit_ibis]
benchmarks_cmd['census'] = census_bench_cmdline
conda_env = CondaEnvironment(args.env_name)
print("PREPARING ENVIRONMENT")
combinate_requirements(ibis_requirements, args.ci_requirements, requirements_file)
conda_env.create(args.env_check, requirements_file=requirements_file)
if tasks['build']:
print("IBIS INSTALLATION")
conda_env.run(install_ibis_cmdline, cwd=args.ibis_path, print_output=False)
if tasks['test']:
print("STARTING OMNISCI SERVER")
omnisci_server = OmnisciServer(omnisci_executable=args.omnisci_executable,
omnisci_port=args.omnisci_port, database_name=args.name,
omnisci_cwd=args.omnisci_cwd, user=args.user,
password=args.password)
omnisci_server.launch()
if tasks['test']:
print("PREPARING DATA")
conda_env.run(dataset_download_cmdline)
conda_env.run(dataset_import_cmdline)
print("RUNNING TESTS")