Uploading results to big query
diff --git a/tools/run_tests/performance/export_utils.py b/tools/run_tests/performance/export_utils.py
new file mode 100644
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+++ b/tools/run_tests/performance/export_utils.py
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+# Copyright 2016, Google Inc.
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are
+# met:
+#
+# * Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+# * Redistributions in binary form must reproduce the above
+# copyright notice, this list of conditions and the following disclaimer
+# in the documentation and/or other materials provided with the
+# distribution.
+# * Neither the name of Google Inc. nor the names of its
+# contributors may be used to endorse or promote products derived from
+# this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+# utilities for exporting benchmark results
+
+import json
+import os
+import sys
+import uuid
+
+
+gcp_utils_dir = os.path.abspath(os.path.join(
+ os.path.dirname(__file__), '../../gcp/utils'))
+sys.path.append(gcp_utils_dir)
+import big_query_utils
+
+
+_PROJECT_ID='grpc-testing'
+_DATASET_ID='test_dataset'
+_RESULTS_TABLE_ID='scenario_results'
+
+
+def upload_scenario_result_to_bigquery(result_file):
+ bq = big_query_utils.create_big_query()
+ _create_results_table(bq)
+
+ with open(result_file, 'r') as f:
+ scenario_result = json.loads(f.read())
+ _insert_result(bq, scenario_result)
+
+
+def _insert_result(bq, scenario_result):
+ _flatten_result_inplace(scenario_result)
+
+ # TODO: handle errors...
+ row = big_query_utils.make_row(str(uuid.uuid4()), scenario_result)
+ return big_query_utils.insert_rows(bq,
+ _PROJECT_ID,
+ _DATASET_ID,
+ _RESULTS_TABLE_ID,
+ [row])
+
+
+def _create_results_table(bq):
+ with open(os.path.dirname(__file__) + '/scenario_result_schema.json', 'r') as f:
+ table_schema = json.loads(f.read())
+ desc = 'Results of performance benchmarks.'
+ return big_query_utils.create_table2(bq, _PROJECT_ID, _DATASET_ID,
+ _RESULTS_TABLE_ID, table_schema, desc)
+
+
+def _flatten_result_inplace(scenario_result):
+ """Bigquery is not really great for handling deeply nested data
+ and repeated fields. To maintain values of some fields while keeping
+ the schema relatively simple, we artificially leave some of the fields
+ as JSON strings.
+ """
+ scenario_result['scenario']['clientConfig'] = json.dumps(scenario_result['scenario']['clientConfig'])
+ scenario_result['scenario']['serverConfig'] = json.dumps(scenario_result['scenario']['serverConfig'])
+ scenario_result['latencies'] = json.dumps(scenario_result['latencies'])
+ for stats in scenario_result['clientStats']:
+ stats['latencies'] = json.dumps(stats['latencies'])