Merge pull request #15723 from jtattermusch/bq_batch_upload_take_two

Really upload bq test results in batches
reviewable/pr15343/r16
Jan Tattermusch 7 years ago committed by GitHub
commit 9b52965ba4
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GPG Key ID: 4AEE18F83AFDEB23
  1. 59
      tools/run_tests/python_utils/upload_test_results.py

@ -86,6 +86,26 @@ def _get_build_metadata(test_results):
test_results['job_name'] = job_name
def _insert_rows_with_retries(bq, bq_table, bq_rows):
"""Insert rows to bq table. Retry on error."""
# 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_results_to_bq(resultset, bq_table, args, platform):
"""Upload test results to a BQ table.
@ -106,6 +126,7 @@ def upload_results_to_bq(resultset, bq_table, args, platform):
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
bq_rows = []
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
@ -124,23 +145,9 @@ def upload_results_to_bq(resultset, bq_table, args, platform):
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)
bq_rows.append(row)
_insert_rows_with_retries(bq, bq_table, bq_rows)
def upload_interop_results_to_bq(resultset, bq_table, args):
@ -162,8 +169,8 @@ def upload_interop_results_to_bq(resultset, bq_table, args):
partition_type=_PARTITION_TYPE,
expiration_ms=_EXPIRATION_MS)
for shortname, results in six.iteritems(resultset):
bq_rows = []
for shortname, results in six.iteritems(resultset):
for result in results:
test_results = {}
_get_build_metadata(test_results)
@ -177,20 +184,4 @@ def upload_interop_results_to_bq(resultset, bq_table, args):
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)
_insert_rows_with_retries(bq, bq_table, bq_rows)

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