Last Saturday (July 3rd) while on vacation, I dubbed it “Security update Saturday”. I took the opportunity to review all of the GitHub bot alerts about out of date packages, and make the updates I needed to.
This included updated
django-sql-dashboard to version 1.0 … which I was really excited about doing. It included two things I was eager to see:
- Implemented a new column cog menu, with options for sorting, counting distinct items and counting by values. #57
- Admin change list view now only shows dashboards the user has permission to edit. Thanks, Atul Varma. #130
I made the updates on my site StadiaTracker.com using my normal workflow:
- Make the change locally on my MacBook Pro
- Run the tests
- Push to UAT
- Push to PROD
The next day, on July 4th, I got the following error message via my error logging:
Internal Server Error: /dashboard/games-seen-in-person/ ProgrammingError at /dashboard/games-seen-in-person/ could not find array type for data type information_schema.sql_identifier
So I copied the url
/dashboard/games-seen-in-person/ to see if I could replicate the issue as an authenticated user and sure enough, I got a 500 Server error.
The first thing I did was to fire up the local version and check the url there. Oddly enough, it worked without issue.
OK … well that’s odd. What are the differences between the local version and the uat / prod version?
The local version is running on macOS 10.15.7 while the uat / prod versions are running Ubuntu 18.04. That could be one source of the issue.
The local version is running Postgres 13.2 while the uat / prod versions are running Postgres 10.17
OK, two differences. Since the error is
could not find array type for data type information_schema.sql_identifier I’m going to start with taking a look at the differences on the Postgres versions.
First, I looked at the Change Log to see what changed between version 0.16 and version 1.0. Nothing jumped out at me, so I looked at the diff between several files between the two versions looking specifically for
information_schema.sql_identifier which didn’t bring up anything.
Next I checked for either
sql_identifier and found a chance in the
views.py file. On line 151 (version 0.16) this change was made:
string_agg(column_name, ', ' order by ordinal_position) as columns
array_to_json(array_agg(column_name order by ordinal_position)) as columns
Next, I extracted the entire SQL statement from the
views.py file to run in Postgres on the UAT server
with visible_tables as ( select table_name from information_schema.tables where table_schema = 'public' order by table_name ), reserved_keywords as ( select word from pg_get_keywords() where catcode = 'R' ) select information_schema.columns.table_name, array_to_json(array_agg(column_name order by ordinal_position)) as columns from information_schema.columns join visible_tables on information_schema.columns.table_name = visible_tables.table_name where information_schema.columns.table_schema = 'public' group by information_schema.columns.table_name order by information_schema.columns.table_name
Running this generated the same error I was seeing from the logs!
Next, I picked apart the various select statements, testing each one to see what failed, and ended on this one:
select information_schema.columns.table_name, array_to_json(array_agg(column_name order by ordinal_position)) as columns from information_schema.columns
Which generated the same error message. Great!
In order to determine how to proceed next I googled
sql_identifier to see what it was. Turns out it’s a field type in Postgres! (I’ve been working in MSSQL for more than 10 years and as far as I know, this isn’t a field type over there, so I learned something)
Further, there were changes made to that field type in Postgres 12!
OK, since there were changes made to that afield type in Postgres 12, I’ll probably need to cast the field to another field type that won’t fail.
That led me to try this:
select information_schema.columns.table_name, array_to_json(array_agg(cast(column_name as text) order by ordinal_position)) as columns from information_schema.columns
Which returned a value without error!
Submitting the updated code
With the solution in hand, I read the Contribution Guide and submitting my patch. And the most awesome part? Within less than an hour Simon Willison (the project’s maintainer) had replied back and merged by code!
And then, the icing on the cake was getting a shout out in a post that Simon wrote up about the update that I submitted!
Holy smokes that was sooo cool.
I love solving problems, and I love writing code, so this kind of stuff just really makes my day.
Now, I’ve contributed to an open source project (that makes 3 now!) and the issue with the
/dashboard/ has been fixed.