Upload Jenkins tests results to a partitioned BQ table

tools/gcp/utils/big_query_utils.py

@@ -37,6 +37,8 @@ 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
 
 
@@ -79,8 +81,21 @@ 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 = {
@@ -95,6 +110,12 @@ 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,

tools/run_tests/python_utils/upload_test_results.py

@@ -45,6 +45,9 @@ 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'),
@@ -87,7 +90,8 @@ 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: