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Postgres: "ERROR: cached plan must not change result type"

Tags:

postgresql

I figured out what was causing this error.

My application opened a database connection and prepared a SELECT statement for execution.

Meanwhile, another script was modifying the database table, changing the data type of one of the columns being returned in the above SELECT statement.

I resolved this by restarting the application after the database table was modified. This reset the database connection, allowing the prepared statement to execute without errors.


I'm adding this answer for anyone landing here by googling ERROR: cached plan must not change result type when trying to solve the problem in the context of a Java / JDBC application.

I was able to reliably reproduce the error by running schema upgrades (i.e. DDL statements) while my back-end app that used the DB was running. If the app was querying a table that had been changed by the schema upgrade (i.e. the app ran queries before and after the upgrade on a changed table) - the postgres driver would return this error because apparently it does caching of some schema details.

You can avoid the problem by configuring your pgjdbc driver with autosave=conservative. With this option, the driver will be able to flush whatever details it is caching and you shouldn't have to bounce your server or flush your connection pool or whatever workaround you may have come up with.

Reproduced on Postgres 9.6 (AWS RDS) and my initial testing seems to indicate the problem is completely resolved with this option.

Documentation: https://jdbc.postgresql.org/documentation/head/connect.html#connection-parameters

You can look at the pgjdbc Github issue 451 for more details and history of the issue.


JRuby ActiveRecords users see this: https://github.com/jruby/activerecord-jdbc-adapter/blob/master/lib/arjdbc/postgresql/connection_methods.rb#L60


Note on performance:

As per the reported performance issues in the above link - you should do some performance / load / soak testing of your application before switching this on blindly.

On doing performance testing on my own app running on an AWS RDS Postgres 10 instance, enabling the conservative setting does result in extra CPU usage on the database server. It wasn't much though, I could only even see the autosave functionality show up as using a measurable amount of CPU after I'd tuned every single query my load test was using and started pushing the load test hard.


For us, we were facing similar issue. Our application works on multiple schema. Whenever we were doing schema changes, this issue started occruding.

Setting up prepareThreshold=0 parameter inside JDBC parameter disables statement caching at database level. This solved it for us.