Merge pull request #11248 from matt-kwong/part_tables

Upload Jenkins tests results to a partitioned BQ table
pull/11509/head
Matt Kwong 8 years ago committed by GitHub
commit c1e1e1b720
  1. 23
      tools/gcp/utils/big_query_utils.py
  2. 6
      tools/run_tests/python_utils/upload_test_results.py

@ -22,6 +22,8 @@ from apiclient import discovery
from apiclient.errors import HttpError
from oauth2client.client import GoogleCredentials
# 30 days in milliseconds
_EXPIRATION_MS = 30 * 24 * 60 * 60 * 1000
NUM_RETRIES = 3
@ -64,8 +66,21 @@ def create_table(big_query, project_id, dataset_id, table_id, table_schema,
fields, description)
def create_partitioned_table(big_query, project_id, dataset_id, table_id, table_schema,
description, partition_type='DAY', expiration_ms=_EXPIRATION_MS):
"""Creates a partitioned table. By default, a date-paritioned table is created with
each partition lasting 30 days after it was last modified.
"""
fields = [{'name': field_name,
'type': field_type,
'description': field_description
} for (field_name, field_type, field_description) in table_schema]
return create_table2(big_query, project_id, dataset_id, table_id,
fields, description, partition_type, expiration_ms)
def create_table2(big_query, project_id, dataset_id, table_id, fields_schema,
description):
description, partition_type=None, expiration_ms=None):
is_success = True
body = {
@ -80,6 +95,12 @@ def create_table2(big_query, project_id, dataset_id, table_id, fields_schema,
}
}
if partition_type and expiration_ms:
body["timePartitioning"] = {
"type": partition_type,
"expirationMs": expiration_ms
}
try:
table_req = big_query.tables().insert(projectId=project_id,
datasetId=dataset_id,

@ -30,6 +30,9 @@ import big_query_utils
_DATASET_ID = 'jenkins_test_results'
_DESCRIPTION = 'Test results from master job run on Jenkins'
# 90 days in milliseconds
_EXPIRATION_MS = 90 * 24 * 60 * 60 * 1000
_PARTITION_TYPE = 'DAY'
_PROJECT_ID = 'grpc-testing'
_RESULTS_SCHEMA = [
('job_name', 'STRING', 'Name of Jenkins job'),
@ -75,7 +78,8 @@ def upload_results_to_bq(resultset, bq_table, args, platform):
platform: string name of platform tests were run on
"""
bq = big_query_utils.create_big_query()
big_query_utils.create_table(bq, _PROJECT_ID, _DATASET_ID, bq_table, _RESULTS_SCHEMA, _DESCRIPTION)
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:

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