def _upload_results_to_bq(rows):
"""Upload test results to a BQ table.
Args:
rows: A list of dictionaries containing data for each row to insert
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(
bq,
_PROJECT_ID,
_DATASET_ID,
_TABLE_ID,
_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
max_retries = 3
for attempt in range(max_retries):
if big_query_utils.insert_rows(bq, _PROJECT_ID, _DATASET_ID, _TABLE_ID,
rows):
break
else:
if attempt < max_retries - 1:
print('Error uploading result to bigquery, will retry.')
else:
print(
'Error uploading result to bigquery, all attempts failed.')
sys.exit(1)
def _upload_results_to_bq(rows):
"""Upload test results to a BQ table.
Args:
rows: A list of dictionaries containing data for each row to insert
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(bq,
_PROJECT_ID,
_DATASET_ID,
_TABLE_ID,
_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
max_retries = 3
for attempt in range(max_retries):
if big_query_utils.insert_rows(bq, _PROJECT_ID, _DATASET_ID, _TABLE_ID,
rows):
break
else:
if attempt < max_retries - 1:
print('Error uploading result to bigquery, will retry.')
else:
print(
'Error uploading result to bigquery, all attempts failed.')
sys.exit(1)
def upload_interop_results_to_bq(resultset, bq_table, args):
"""Upload interop test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
args: args in run_interop_tests.py, generated by argparse
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(
bq,
_PROJECT_ID,
_DATASET_ID,
bq_table,
_INTEROP_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
bq_rows = []
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['result'] = result.state
test_results['test_name'] = shortname
test_results['suite'] = shortname.split(':')[0]
test_results['client'] = shortname.split(':')[1]
test_results['server'] = shortname.split(':')[2]
test_results['test_case'] = shortname.split(':')[3]
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
bq_rows.append(row)
_insert_rows_with_retries(bq, bq_table, bq_rows)
def upload_interop_results_to_bq(resultset, bq_table, args):
"""Upload interop test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
args: args in run_interop_tests.py, generated by argparse
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(bq,
_PROJECT_ID,
_DATASET_ID,
bq_table,
_INTEROP_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
bq_rows = []
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['result'] = result.state
test_results['test_name'] = shortname
test_results['suite'] = shortname.split(':')[0]
test_results['client'] = shortname.split(':')[1]
test_results['server'] = shortname.split(':')[2]
test_results['test_case'] = shortname.split(':')[3]
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
bq_rows.append(row)
_insert_rows_with_retries(bq, bq_table, bq_rows)
def upload_results_to_bq(resultset, bq_table, extra_fields):
"""Upload test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
extra_fields: dict with extra values that will be uploaded along with the results
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(bq,
_PROJECT_ID,
_DATASET_ID,
bq_table,
_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
bq_rows = []
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['cpu_estimated'] = result.cpu_estimated
test_results['cpu_measured'] = result.cpu_measured
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['result'] = result.state
test_results['return_code'] = result.returncode
test_results['test_name'] = shortname
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
for field_name, field_value in six.iteritems(extra_fields):
test_results[field_name] = field_value
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
bq_rows.append(row)
_insert_rows_with_retries(bq, bq_table, bq_rows)
def upload_results_to_bq(resultset, bq_table, args, platform):
"""Upload test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
args: args in run_tests.py, generated by argparse
platform: string name of platform tests were run on
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(bq, _PROJECT_ID, _DATASET_ID, bq_table, _RESULTS_SCHEMA, _DESCRIPTION,
partition_type=_PARTITION_TYPE, expiration_ms= _EXPIRATION_MS)
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['compiler'] = args.compiler
test_results['config'] = args.config
test_results['cpu_estimated'] = result.cpu_estimated
test_results['cpu_measured'] = result.cpu_measured
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['iomgr_platform'] = args.iomgr_platform
# args.language is a list, but will always have one element in the contexts
# this function is used.
test_results['language'] = args.language[0]
test_results['platform'] = platform
test_results['result'] = result.state
test_results['test_name'] = shortname
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
if not big_query_utils.insert_rows(bq, _PROJECT_ID, _DATASET_ID, bq_table, [row]):
print('Error uploading result to bigquery.')
sys.exit(1)
def upload_results_to_bq(resultset, bq_table, args, platform):
"""Upload test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
args: args in run_tests.py, generated by argparse
platform: string name of platform tests were run on
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(bq,
_PROJECT_ID,
_DATASET_ID,
bq_table,
_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['compiler'] = args.compiler
test_results['config'] = args.config
test_results['cpu_estimated'] = result.cpu_estimated
test_results['cpu_measured'] = result.cpu_measured
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['iomgr_platform'] = args.iomgr_platform
# args.language is a list, but will always have one element in the contexts
# this function is used.
test_results['language'] = args.language[0]
test_results['platform'] = platform
test_results['result'] = result.state
test_results['return_code'] = result.returncode
test_results['test_name'] = shortname
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
# TODO(jtattermusch): rows are inserted one by one, very inefficient
max_retries = 3
for attempt in range(max_retries):
if big_query_utils.insert_rows(bq, _PROJECT_ID, _DATASET_ID,
bq_table, [row]):
break
else:
if attempt < max_retries - 1:
print(
'Error uploading result to bigquery, will retry.')
else:
print(
'Error uploading result to bigquery, all attempts failed.'
)
sys.exit(1)
def upload_interop_results_to_bq(resultset, bq_table, args):
"""Upload interop test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
args: args in run_interop_tests.py, generated by argparse
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(bq,
_PROJECT_ID,
_DATASET_ID,
bq_table,
_INTEROP_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
for shortname, results in six.iteritems(resultset):
bq_rows = []
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['result'] = result.state
test_results['test_name'] = shortname
test_results['suite'] = shortname.split(':')[0]
test_results['client'] = shortname.split(':')[1]
test_results['server'] = shortname.split(':')[2]
test_results['test_case'] = shortname.split(':')[3]
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
bq_rows.append(row)
# BigQuery sometimes fails with large uploads, so batch 1,000 rows at a time.
for i in range((len(bq_rows) / 1000) + 1):
max_retries = 3
for attempt in range(max_retries):
if big_query_utils.insert_rows(
bq, _PROJECT_ID, _DATASET_ID, bq_table,
bq_rows[i * 1000:(i + 1) * 1000]):
break
else:
if attempt < max_retries - 1:
print(
'Error uploading result to bigquery, will retry.')
else:
print(
'Error uploading result to bigquery, all attempts failed.'
)
sys.exit(1)
def upload_interop_results_to_bq(resultset, bq_table, args):
"""Upload interop test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
args: args in run_interop_tests.py, generated by argparse
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(
bq,
_PROJECT_ID,
_DATASET_ID,
bq_table,
_INTEROP_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['result'] = result.state
test_results['test_name'] = shortname
test_results['suite'] = shortname.split(':')[0]
test_results['client'] = shortname.split(':')[1]
test_results['server'] = shortname.split(':')[2]
test_results['test_case'] = shortname.split(':')[3]
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
# TODO(jtattermusch): rows are inserted one by one, very inefficient
max_retries = 3
for attempt in range(max_retries):
if big_query_utils.insert_rows(bq, _PROJECT_ID, _DATASET_ID,
bq_table, [row]):
break
else:
if attempt < max_retries - 1:
print('Error uploading result to bigquery, will retry.')
else:
print(
'Error uploading result to bigquery, all attempts failed.'
)
sys.exit(1)
def upload_results_to_bq(resultset, bq_table, args, platform):
"""Upload test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
args: args in run_tests.py, generated by argparse
platform: string name of platform tests were run on
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(bq,
_PROJECT_ID,
_DATASET_ID,
bq_table,
_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
bq_rows = []
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['compiler'] = args.compiler
test_results['config'] = args.config
test_results['cpu_estimated'] = result.cpu_estimated
test_results['cpu_measured'] = result.cpu_measured
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['iomgr_platform'] = args.iomgr_platform
# args.language is a list, but will always have one element in the contexts
# this function is used.
test_results['language'] = args.language[0]
test_results['platform'] = platform
test_results['result'] = result.state
test_results['return_code'] = result.returncode
test_results['test_name'] = shortname
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
bq_rows.append(row)
_insert_rows_with_retries(bq, bq_table, bq_rows)
def upload_results_to_bq(resultset, bq_table, extra_fields):
"""Upload test results to a BQ table.
Args:
resultset: dictionary generated by jobset.run
bq_table: string name of table to create/upload results to in BQ
extra_fields: dict with extra values that will be uploaded along with the results
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_partitioned_table(
bq,
_PROJECT_ID,
_DATASET_ID,
bq_table,
_RESULTS_SCHEMA,
_DESCRIPTION,
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
bq_rows = []
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
test_results['cpu_estimated'] = result.cpu_estimated
test_results['cpu_measured'] = result.cpu_measured
test_results['elapsed_time'] = '%.2f' % result.elapsed_time
test_results['result'] = result.state
test_results['return_code'] = result.returncode
test_results['test_name'] = shortname
test_results['timestamp'] = time.strftime('%Y-%m-%d %H:%M:%S')
for field_name, field_value in six.iteritems(extra_fields):
test_results[field_name] = field_value
row = big_query_utils.make_row(str(uuid.uuid4()), test_results)
bq_rows.append(row)
_insert_rows_with_retries(bq, bq_table, bq_rows)
