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-rwxr-xr-xtools/gcp/utils/big_query_utils.py23
-rw-r--r--tools/run_tests/python_utils/upload_test_results.py6
2 files changed, 27 insertions, 2 deletions
diff --git a/tools/gcp/utils/big_query_utils.py b/tools/gcp/utils/big_query_utils.py
index e32b7a3ca5..efc5c1839f 100755
--- a/tools/gcp/utils/big_query_utils.py
+++ b/tools/gcp/utils/big_query_utils.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,
diff --git a/tools/run_tests/python_utils/upload_test_results.py b/tools/run_tests/python_utils/upload_test_results.py
index 54153c9fd2..24c3ec94ae 100644
--- a/tools/run_tests/python_utils/upload_test_results.py
+++ b/tools/run_tests/python_utils/upload_test_results.py
@@ -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: