1/18/2024 0 Comments Postgresql jsonb select example![]() ![]() In certain categories such as books you’d have things like whether it’s fiction or not but in others such as clothes you might have things like size, and color. In the most basic case attributes of a product catalog can be a great candidate. If you have relational data as well as some data that may not always exist on a column: it can be a great fit. This way when you filter on something it’ll use the index if it makes sense to the planner within Postgres.Īs hstore isn’t a full document equivalent, it’s a stretch to consider using it as such. ![]() ![]() In particular, a GIN or GiST index will index every key and value within the hstore. The obvious benefit here is flexibility, but where it really shines is being able to leverage various index types. INSERT INTO products ( name, attributes ) VALUES ( 'Geek Love: A Novel', 'author => "Katherine Dunn",Ĭategory => fiction' ) SELECT name, attributes -> 'author' as author FROM products WHERE attributes -> 'category' = 'fiction' You can simply insert the record and it’ll save everything. The upside of hstore is you don’t have to define any of your keys ahead of time. You also don’t get any nesting in short it’s a flat key/value datatype. With hstore you’re a little more limited in terms of the datatypes you have: you essentially just get strings. Hstore is essentially a key/value store directly in Postgres. Hstore arrived way back in Postgres 8.3, before upsert, before streaming replication, and before window functions. If you exclude XML, this was the first truly unstructured datatype to arrive in Postgres. Here we’ll dig deeper into each and see when you should consider using them. Each newer model including hstore, JSON, and JSONB has their ideal use cases. Do you entirely abandon traditional table structures, and go with documents all the way? Or do you intermingle both? The answer unsurprisingly is: it depends. Since Postgres started supporting NoSQL (via hstore, json, and jsonb), the question of when to use Postgres in relational mode vs NoSQL mode has come up a lot. ![]()
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