Now that we are on the topic of prepared statements, does anyone know how to do "SELECT * FROM WHERE x IN (list of values...)" properly? As far as I know, you cannot do it with prepared statements (as they can only be single values) and you are forced to roll your own escaping mechanism.
ANSI SQL and Postgres has had an array type since forever, MSSQL has table variables and types, other SQL databases have similar if not perfectly ANSI standard features (well probably not MySQL)
While doing single restore is fast enough, you will have problems doing multiple restores in a row as the background process needs to finish before another restore is possible (which may take several seconds when you are dealing with big databases).
I have regularly used this with database that's nearing 1000 megabytes. I don't particularly mind slow snapshotting because my workflow is more about restoring database back to baseline than taking copies.
Please don't use this for production. It is not stable enough and you only end up with lost data.
We use our own lvm solution at work, works great, we do something like pgsnap to swap to the snapshot or pgsnap master to work on the master. I'll check this out.
Transaction is only reverted if the migration fails. Stellar helps you if your migration succeeds but does the wrong thing (deleting wrong column, missing WHERE in UPDATE statement).
The assets valued in economics allow me to make a judgement on how an economist is likely to view , say , dieting.
With that judgement in-mind, I may be more likely to follow the instruction or believe the idea the economist is saying rather than someone else like a drug-addled rockstar or an HIV infected addict.
The information the economist espouses, however, will surely be thought of at a lower priority than any information accrued from a medical doctor, dietician, or fitness instructor.
Considering the opinions of 'non-experts' does not raise flags for me, at least.
Human experience isn't divided up into silos. If economists notice something about biology from a different perspective, we should evaluate their findings, not immediately distrust or dismiss them.