Spent a couple hours yesterday trying to track down this - I was not getting anywhere though and I see why now. Well this definitely an unfortunate situation - but I think documentation improvements are the right fix not enforcing the engine type in sqlalchemy migrations. For one, I don't think we can assume a particular engine type because different deployers may already going to have both kinds out there right? I think it would be better to update the wiki to encourage InnoDB for all new installations and warn this can happen for MySQL upgrades. Is this okay? Sorry about this. -John On Wed, Jun 11, 2014 at 8:48 AM, Kandalaft, Iyad <Iyad.Kandalaft@agr.gc.ca> wrote:
This is a follow up for those that are interested with regards to my failed schema upgrade.
I believe I have determined why all the tables are set to use the MyISAM engine. When I initialized galaxy on our enterprise servers, they were running a dated version of CentOS. Hence, the OS defaults to a dated MySQL version. MySQL only switched to using InnoDB (over MyISAM) as the default engine in version 5.5. If I’m not mistaken, I initialized galaxy in MySQL 5.1 without changing the default engine to InnoDB (big mistake). Due to my ignorance, I will now have to try to compare v118 of our database with a new install of galaxy running schema v118. Then, I will try “migrating” to the true schema state without destroying the data.
I do feel that I should still modify the galaxy schema to set the MySQL engine to InnoDB to thwart problems like this for other unsuspecting users. If anyone can point me at some documentation about how Galaxy schema changes should occur in this case, that would be great.
As per my previous comment, I’m not certain whether I would edit all schema versions to ensure table definitions include the mysql_engine=InnoDB attribute or whether using a DDL event in SQLAlchemy. I suspect that setting this option globally would mean that future developers don’t need to remember to define mysql_engine on every new table.
Iyad Kandalaft
Microbial Biodiversity Bioinformatics
Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada 960 Carling Ave.| 960 Ave. Carling
Ottawa, ON| Ottawa (ON) K1A 0C6
E-mail Address / Adresse courriel Iyad.Kandalaft@agr.gc.ca Telephone | Téléphone 613-759-1228 Facsimile | Télécopieur 613-759-1701 Teletypewriter | Téléimprimeur 613-773-2600
Government of Canada | Gouvernement du Canada
From: Kandalaft, Iyad Sent: Tuesday, June 10, 2014 1:39 PM To: 'galaxy-dev@bx.psu.edu' Subject: Re: Galaxy updated botched?
Hi Everyone,
This is follow-up information/questions to the issue I ran into with the galaxy June 2nd, 2014 update. I hope to receive feedback on how to proceed.
Background:
- Running Galaxy (DB Schema 118) with a MySQL 5.5 back-end
- When updating galaxy to the june 2nd release, the v120 DB schema has referential integrity constraints, which produced errors during the upgrade.
- Completed two galaxy updates in the past 4 months without encountering this before (schema changes included)
Discussion:
In the past, referential integrity in the DB schema was never an issue. I checked backups and the current database to find that the database tables are using the MyISAM engine. MyISAM = no referential integrity support, no transactions.
I reviewed galaxy’s SQLAlchemy templates and determined that mysql_engine='InnoDB' isn’t set on tables. This explains why all tables were created with the MyISAM engine. If the mysql_engine is not innodb, SQL Alchemy is supposed to drop any referential integrity constraints defined in the schema. What I don’t understand is why SQL Alchemy is no longer ignoring the referential integrity constraints.
Going forward, can anyone propose how I can salvage the database or continue ignoring referential integrity for now?
Assuming that my limited understanding of SQLAlchemy holds water, I was looking at fixing the galaxy code base but I need some clarification on the DB schema versioning. Do I edit schema v1 and add the appropriate table args to make every table an innodb engine table or do I add a new schema and modify all tables to use the innodb engine? Alternatively, I can use DDL events
def after_create(target, connection, **kw):
connection.execute("ALTER TABLE %s ENGINE=InnoDB;
(target.name, target.name))
Thank you for your help.
Regards,
Iyad Kandalaft
Bioinformatics Application Developer
Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
KW Neatby Bldg | éd. KW Neatby
960 Carling Ave| 960, avenue Carling
Ottawa, ON | Ottawa (ON) K1A 0C6
E-mail Address / Adresse courriel: Iyad.Kandalaft@agr.gc.ca
Telephone | Téléphone 613- 759-1228
Facsimile | Télécopieur 613-759-1701
Government of Canada | Gouvernement du Canada
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