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Reverting changes for nds refactoring
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| #!/usr/bin/env python3 | ||
| # -*- coding: utf-8 -*- | ||
| # | ||
| # SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | ||
| # SPDX-License-Identifier: Apache-2.0 | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| # | ||
| # ----- | ||
| # | ||
| # Certain portions of the contents of this file are derived from TPC-DS version 3.2.0 | ||
| # (retrieved from www.tpc.org/tpc_documents_current_versions/current_specifications5.asp). | ||
| # Such portions are subject to copyrights held by Transaction Processing Performance Council (“TPC”) | ||
| # and licensed under the TPC EULA (a copy of which accompanies this file as “TPC EULA” and is also | ||
| # available at http://www.tpc.org/tpc_documents_current_versions/current_specifications5.asp) (the “TPC EULA”). | ||
| # | ||
| # You may not use this file except in compliance with the TPC EULA. | ||
| # DISCLAIMER: Portions of this file is derived from the TPC-DS Benchmark and as such any results | ||
| # obtained using this file are not comparable to published TPC-DS Benchmark results, as the results | ||
| # obtained from using this file do not comply with the TPC-DS Benchmark. | ||
| # | ||
|
|
||
| import json | ||
| import os | ||
| import time | ||
| import traceback | ||
| from typing import Callable | ||
| from pyspark.sql import SparkSession | ||
|
|
||
| import python_listener | ||
|
|
||
| class PysparkBenchReport: | ||
| """Class to generate json summary report for a benchmark | ||
| """ | ||
| def __init__(self, spark_session: SparkSession, query_name) -> None: | ||
| self.spark_session = spark_session | ||
| self.summary = { | ||
| 'env': { | ||
| 'envVars': {}, | ||
| 'sparkConf': {}, | ||
| 'sparkVersion': None | ||
| }, | ||
| 'queryStatus': [], | ||
| 'exceptions': [], | ||
| 'startTime': None, | ||
| 'queryTimes': [], | ||
| 'query': query_name, | ||
| } | ||
|
|
||
| def report_on(self, fn: Callable, *args): | ||
| """Record a function for its running environment, running status etc. and exclude sentive | ||
| information like tokens, secret and password Generate summary in dict format for it. | ||
| Args: | ||
| fn (Callable): a function to be recorded | ||
| Returns: | ||
| dict: summary of the fn | ||
| """ | ||
| spark_conf = dict(self.spark_session.sparkContext._conf.getAll()) | ||
| env_vars = dict(os.environ) | ||
| redacted = ["TOKEN", "SECRET", "PASSWORD"] | ||
| filtered_env_vars = dict((k, env_vars[k]) for k in env_vars.keys() if not (k in redacted)) | ||
| self.summary['env']['envVars'] = filtered_env_vars | ||
| self.summary['env']['sparkConf'] = spark_conf | ||
| self.summary['env']['sparkVersion'] = self.spark_session.version | ||
| listener = None | ||
| try: | ||
| listener = python_listener.PythonListener() | ||
| listener.register() | ||
| except TypeError as e: | ||
| print("Not found com.nvidia.spark.rapids.listener.Manager", str(e)) | ||
| listener = None | ||
| if listener is not None: | ||
| print("TaskFailureListener is registered.") | ||
| try: | ||
| start_time = int(time.time() * 1000) | ||
| fn(*args) | ||
| end_time = int(time.time() * 1000) | ||
| if listener and len(listener.failures) != 0: | ||
| self.summary['queryStatus'].append("CompletedWithTaskFailures") | ||
| else: | ||
| self.summary['queryStatus'].append("Completed") | ||
| except Exception as e: | ||
| # print the exception to ease debugging | ||
| print('ERROR BEGIN') | ||
| print(e) | ||
| traceback.print_tb(e.__traceback__) | ||
| print('ERROR END') | ||
| end_time = int(time.time() * 1000) | ||
| self.summary['queryStatus'].append("Failed") | ||
| self.summary['exceptions'].append(str(e)) | ||
| finally: | ||
| self.summary['startTime'] = start_time | ||
| self.summary['queryTimes'].append(end_time - start_time) | ||
| if listener is not None: | ||
| listener.unregister() | ||
| return self.summary | ||
|
|
||
| def write_summary(self, prefix=""): | ||
| """_summary_ | ||
| Args: | ||
| query_name (str): name of the query | ||
| prefix (str, optional): prefix for the output json summary file. Defaults to "". | ||
| """ | ||
| # Power BI side is retrieving some information from the summary file name, so keep this file | ||
| # name format for pipeline compatibility | ||
| filename = prefix + '-' + self.summary['query'] + '-' +str(self.summary['startTime']) + '.json' | ||
| self.summary['filename'] = filename | ||
| with open(filename, "w") as f: | ||
| json.dump(self.summary, f, indent=2) | ||
|
|
||
| def is_success(self): | ||
| """Check if the query succeeded, queryStatus == Completed | ||
| """ | ||
| return self.summary['queryStatus'][0] == 'Completed' |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,37 @@ | ||
| # | ||
| # SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | ||
| # SPDX-License-Identifier: Apache-2.0 | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| # | ||
|
|
||
| # This is the base template file for the common information about test environment | ||
| # including the information about Spark, cluster configuration and the Jar files, | ||
| # which are required in the other templates. | ||
| # We'll source this base file in all the other templates so that we just need to update | ||
| # here once instead of updating in all the templates. | ||
| # If you have any different configuration in a specific template, you can override | ||
| # the variables in that template. | ||
|
|
||
| export SPARK_HOME=${SPARK_HOME:-/usr/lib/spark} | ||
| export SPARK_MASTER=${SPARK_MASTER:-yarn} | ||
| export DRIVER_MEMORY=${DRIVER_MEMORY:-10G} | ||
| export EXECUTOR_CORES=${EXECUTOR_CORES:-12} | ||
| export NUM_EXECUTORS=${NUM_EXECUTORS:-8} | ||
| export EXECUTOR_MEMORY=${EXECUTOR_MEMORY:-16G} | ||
|
|
||
| # The NDS listener jar which is built in jvm_listener directory. | ||
| export NDS_LISTENER_JAR=${NDS_LISTENER_JAR:-./jvm_listener/target/nds-benchmark-listener-1.0-SNAPSHOT.jar} | ||
| # The spark-rapids jar which is required when running on GPU | ||
| export SPARK_RAPIDS_PLUGIN_JAR=${SPARK_RAPIDS_PLUGIN_JAR:-rapids-4-spark_2.12-22.06.0.jar} | ||
| export PYTHONPATH=$SPARK_HOME/python:`echo $SPARK_HOME/python/lib/py4j-*.zip` |
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