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-rwxr-xr-xtools/run_tests/performance/bq_upload_result.py32
1 files changed, 32 insertions, 0 deletions
diff --git a/tools/run_tests/performance/bq_upload_result.py b/tools/run_tests/performance/bq_upload_result.py
index 0f53ba5d02..ebd28f7591 100755
--- a/tools/run_tests/performance/bq_upload_result.py
+++ b/tools/run_tests/performance/bq_upload_result.py
@@ -31,9 +31,11 @@
# Uploads performance benchmark result file to bigquery.
import argparse
+import calendar
import json
import os
import sys
+import time
import uuid
@@ -60,6 +62,7 @@ def _upload_scenario_result_to_bigquery(dataset_id, table_id, result_file):
def _insert_result(bq, dataset_id, table_id, scenario_result):
_flatten_result_inplace(scenario_result)
+ _populate_metadata_inplace(scenario_result)
row = big_query_utils.make_row(str(uuid.uuid4()), scenario_result)
return big_query_utils.insert_rows(bq,
_PROJECT_ID,
@@ -90,6 +93,35 @@ def _flatten_result_inplace(scenario_result):
scenario_result['serverCores'] = json.dumps(scenario_result['serverCores'])
+def _populate_metadata_inplace(scenario_result):
+ """Populates metadata based on environment variables set by Jenkins."""
+ # NOTE: Grabbing the Jenkins environment variables will only work if the
+ # driver is running locally on the same machine where Jenkins has started
+ # the job. For our setup, this is currently the case, so just assume that.
+ build_number = os.getenv('BUILD_NUMBER')
+ build_url = os.getenv('BUILD_URL')
+ job_name = os.getenv('JOB_NAME')
+ git_commit = os.getenv('GIT_COMMIT')
+ # actual commit is the actual head of PR that is getting tested
+ git_actual_commit = os.getenv('ghprbActualCommit')
+
+ utc_timestamp = str(calendar.timegm(time.gmtime()))
+ metadata = {'created': utc_timestamp}
+
+ if build_number:
+ metadata['buildNumber'] = build_number
+ if build_url:
+ metadata['buildUrl'] = build_url
+ if job_name:
+ metadata['jobName'] = job_name
+ if git_commit:
+ metadata['gitCommit'] = git_commit
+ if git_actual_commit:
+ metadata['gitActualCommit'] = git_actual_commit
+
+ scenario_result['metadata'] = metadata
+
+
argp = argparse.ArgumentParser(description='Upload result to big query.')
argp.add_argument('--bq_result_table', required=True, default=None, type=str,
help='Bigquery "dataset.table" to upload results to.')