1
0
mirror of https://github.com/jbranchaud/til synced 2026-01-03 07:08:01 +00:00

Add Group By The Result Of A Function Call as a postgres til

This commit is contained in:
jbranchaud
2019-11-13 13:06:13 -06:00
parent 38f3258198
commit 46c976618d
2 changed files with 33 additions and 1 deletions

View File

@@ -9,7 +9,7 @@ and pairing with smart people at Hashrocket.
For a steady stream of TILs, [sign up for my newsletter](https://tinyletter.com/jbranchaud).
_866 TILs and counting..._
_867 TILs and counting..._
---
@@ -434,6 +434,7 @@ _866 TILs and counting..._
- [Get The Size Of A Table](postgres/get-the-size-of-a-table.md)
- [Get The Size Of An Index](postgres/get-the-size-of-an-index.md)
- [Getting A Slice Of An Array](postgres/getting-a-slice-of-an-array.md)
- [Group By The Result Of A Function Call](postgres/group-by-the-result-of-a-function-call.md)
- [Insert Just The Defaults](postgres/insert-just-the-defaults.md)
- [Integers In Postgres](postgres/integers-in-postgres.md)
- [Intervals Of Time By Week](postgres/intervals-of-time-by-week.md)

View File

@@ -0,0 +1,31 @@
# Group By The Result Of A Function Call
Typically, a query that I write involving a `group by` will look more or less
like this:
```sql
select category, count(*)
from products
group by category;
```
The `category` column is the thing I'm grouping by. In this case, I'm doing a
little data exploration.
We are not strictly limited to grouping by a column. We can use all sorts of
functions offered by Postgres to get at more interesting results. [String
functions](https://www.postgresql.org/docs/current/functions-string.html) are a
great place to start.
Let's say our `products` table also has an `identifier` column with a naming
scheme where the first three letters of the identifier correspond to the
product's classification. We can group by that part of the `identifier`:
```sql
select substring(identifier from 1 for 3), count(*)
from products
group by substring(identifier from 1 for 3);
```
The funkiness of the `substring` syntax aside, we were able to group our
products in a new way and learn something about our data.