Reputation: 715
I'm designing the database schema for a video production project management app and struggling with how to persist some embedded, but not repeatable data. In the few CS courses I took, part of normalizing a relational database was identifying repeatable blocks and encapsulating them into their own table. What if I have a block of embedded/nested data that I know is likely to be unique to the record?
Example: A video
record has many shoot_locations
. Those locations are most likely never to be repeated. shoot_locations
can also contain multiple shoot_times
. Representing this in JSON, might look like this:
{
video: {
shoot_locations: [
{
name: "Bob's Pony Shack",
address: "99 Horseman Street, Anywhere, US 12345",
shoot_times: {
shoot_at: "2015-08-15 21:00:00",
...
}
},
{
name: "Jerry's Tackle",
address: "15 Pike Place, Anywhere, US 12345",
shoot_times: {
shoot_at: "2015-08-16 21:00:00"
...
}
}
],
...
}
}
shoot_locations
in a JSON field (available in MySQL 5.7.8?)I get the sense I should split embedded data into it's own tables and save JSON for non-crucial meta data.
What's the best option to store non-repeating embedded data?
Upvotes: 20
Views: 6872
Reputation: 6882
ONE of the reasons of normalizing a database is to reduce redundancy (your "repeatable blocks")
ANOTHER reason is to allow "backwards" querying. If you wanted to know which video was shot at "15 Pike Place", your JSON solution will fail (you'll have to resort to sequential reading, decoding JSON which defeats the purpose of a RDBMS)
Good rules of thumb:
If in doubt, use tables and columns. You might have to spend some extra time initially, but you will never regret it. People have regretted their choice for JSON fields (or XML, for that matter) again and again and again. Did I mention "again"?
Upvotes: 35