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Add Find Records That Have Multiple Associated Records as a postgres til

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jbranchaud
2021-02-14 18:08:12 -06:00
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For a steady stream of TILs, [sign up for my newsletter](https://tinyletter.com/jbranchaud). For a steady stream of TILs, [sign up for my newsletter](https://tinyletter.com/jbranchaud).
_1047 TILs and counting..._ _1048 TILs and counting..._
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- [Escaping String Literals With Dollar Quoting](postgres/escaping-string-literals-with-dollar-quoting.md) - [Escaping String Literals With Dollar Quoting](postgres/escaping-string-literals-with-dollar-quoting.md)
- [Export Query Results To A CSV](postgres/export-query-results-to-a-csv.md) - [Export Query Results To A CSV](postgres/export-query-results-to-a-csv.md)
- [Extracting Nested JSON Data](postgres/extracting-nested-json-data.md) - [Extracting Nested JSON Data](postgres/extracting-nested-json-data.md)
- [Find Records That Have Multiple Associated Records](postgres/find-records-that-have-multiple-associated-records.md)
- [Find The Data Directory](postgres/find-the-data-directory.md) - [Find The Data Directory](postgres/find-the-data-directory.md)
- [Find The Location Of Postgres Config Files](postgres/find-the-location-of-postgres-config-files.md) - [Find The Location Of Postgres Config Files](postgres/find-the-location-of-postgres-config-files.md)
- [Fizzbuzz With Common Table Expressions](postgres/fizzbuzz-with-common-table-expressions.md) - [Fizzbuzz With Common Table Expressions](postgres/fizzbuzz-with-common-table-expressions.md)

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# Find Records That Have Multiple Associated Records
A common type of table association in a relational database is a one-to-many
relationship. For instance, a database representing a bookshelf may have an
`authors` table where each record can be associated with multiple records in
the `books` table. That relationship is represented by a `author_id` foreign
key column on `books` that points to `authors.id`.
We can write a query to find all authors that have not zero or one, but
multiple books by doing a join and then tacking on a `having` clause.
```sql
select authors.id, authors.name, count(books.id)
from authors
join books
on authors.id = books.author_id
group by authors.id
having count(books.id) >= 2;
```
This will result in a listing of author ids, author names, and their number of
books.
It does this by joining books to authors, grouping by the `authors.id` to
produce a set of records unique to each author, and then combining multiple
books by aggregating them with a `count`. The `having` clause is necessary
because it is our way of _filtering_ on an aggregate value, in this case the
`count`.