Feature test intermittent failure fixes

2019-05-13 Thread Usman Muzaffar
Hi Hackers,

Please find here attached patch for feature test fixes, there fixes are
related to intermittent test case failures.

Please review the patch and commit.
-- 


Thanks,

Usman Muzaffar
QA Team
EnterpriseDB Corporation


feature_tests_v2.patch
Description: Binary data


[PATCH] Fix error on displaying table properties of a table partitioned by list having a default partition.

2019-05-13 Thread Sander Eikelenboom
L.S.,

This patch fixes an error on displaying table properties of a table partitioned 
by list having a default partition.
This is an additional fix for bug #3938 which was missed in commit 
a9d964b5ca04bbe00bf5585d5c19bdfdf603c8a9.

--
Sander Eikelenboom
commit 3d1a09a1b6bc0651801c91dae071bf8a19d61558
Author: Sander Eikelenboom 
Date:   Mon May 13 10:51:10 2019 +0200

Fix error on displaying table properties of a table partitioned by list having a default partition.
This is an additional fix for bug #3938 which was missed in commit a9d964b5ca04bbe00bf5585d5c19bdfdf603c8a9.

diff --git a/web/pgadmin/browser/server_groups/servers/databases/schemas/tables/utils.py b/web/pgadmin/browser/server_groups/servers/databases/schemas/tables/utils.py
index 7815b325..dffec879 100644
--- a/web/pgadmin/browser/server_groups/servers/databases/schemas/tables/utils.py
+++ b/web/pgadmin/browser/server_groups/servers/databases/schemas/tables/utils.py
@@ -2203,14 +2203,20 @@ class BaseTableView(PGChildNodeView, BasePartitionTable):
 'is_default': is_default
 })
 elif data['partition_type'] == 'list':
-range_part = \
-row['partition_value'].split('FOR VALUES IN (')[1]
+if row['partition_value'] == 'DEFAULT':
+is_default = True
+range_in = None
+else:
+range_part = row['partition_value'].split(
+'FOR VALUES IN (')[1]
+range_in = range_part[:-1]
+is_default = False
 
-range_in = range_part[:-1]
 partitions.append({
 'oid': row['oid'],
 'partition_name': partition_name,
-'values_in': range_in
+'values_in': range_in,
+'is_default': is_default
 })
 else:
 range_part = row['partition_value'].split(