is that session using "autocommit" mode? it looks like the error is raised on the UNLOCK ?
On Wed, Dec 6, 2017 at 12:24 AM, <[email protected]> wrote: > Once again I'm at a loss. > > I tried this: > > dbsession.execute("LOCK TABLES tokens WRITE") > dbsession.execute(cond_insert) # As per above discussion. > dbsession.execute("UNLOCK TABLES") > > which raises an error: 1100, "Table 'tokens' was not locked with LOCK > TABLES". > > Then I read that the temporary table created by an inner select needs to be > locked as well, but it doesn't exist at the time when LOCK TABLES executes. > So using stmt.alias("foo") for the INSERT, and adding "foo" to the LOCK > TABLES doesn't work. The "dual" table can't be locked either, as it doesn't > actually exist. No other table is being used by the conditional INSERT as > far as I can see. > > I can't quite make sense of the error message, and how to resolve it. > > -- > SQLAlchemy - > The Python SQL Toolkit and Object Relational Mapper > > http://www.sqlalchemy.org/ > > To post example code, please provide an MCVE: Minimal, Complete, and > Verifiable Example. See http://stackoverflow.com/help/mcve for a full > description. > --- > You received this message because you are subscribed to the Google Groups > "sqlalchemy" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/sqlalchemy. > For more options, visit https://groups.google.com/d/optout. -- SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper http://www.sqlalchemy.org/ To post example code, please provide an MCVE: Minimal, Complete, and Verifiable Example. See http://stackoverflow.com/help/mcve for a full description. --- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/sqlalchemy. For more options, visit https://groups.google.com/d/optout.
