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Add Group By The Result Of A Function Call as a postgres til
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@@ -9,7 +9,7 @@ and pairing with smart people at Hashrocket.
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For a steady stream of TILs, [sign up for my newsletter](https://tinyletter.com/jbranchaud).
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_866 TILs and counting..._
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_867 TILs and counting..._
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---
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@@ -434,6 +434,7 @@ _866 TILs and counting..._
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- [Get The Size Of A Table](postgres/get-the-size-of-a-table.md)
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- [Get The Size Of An Index](postgres/get-the-size-of-an-index.md)
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- [Getting A Slice Of An Array](postgres/getting-a-slice-of-an-array.md)
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- [Group By The Result Of A Function Call](postgres/group-by-the-result-of-a-function-call.md)
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- [Insert Just The Defaults](postgres/insert-just-the-defaults.md)
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- [Integers In Postgres](postgres/integers-in-postgres.md)
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- [Intervals Of Time By Week](postgres/intervals-of-time-by-week.md)
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31
postgres/group-by-the-result-of-a-function-call.md
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31
postgres/group-by-the-result-of-a-function-call.md
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# Group By The Result Of A Function Call
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Typically, a query that I write involving a `group by` will look more or less
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like this:
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```sql
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select category, count(*)
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from products
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group by category;
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```
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The `category` column is the thing I'm grouping by. In this case, I'm doing a
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little data exploration.
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We are not strictly limited to grouping by a column. We can use all sorts of
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functions offered by Postgres to get at more interesting results. [String
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functions](https://www.postgresql.org/docs/current/functions-string.html) are a
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great place to start.
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Let's say our `products` table also has an `identifier` column with a naming
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scheme where the first three letters of the identifier correspond to the
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product's classification. We can group by that part of the `identifier`:
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```sql
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select substring(identifier from 1 for 3), count(*)
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from products
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group by substring(identifier from 1 for 3);
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```
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The funkiness of the `substring` syntax aside, we were able to group our
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products in a new way and learn something about our data.
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