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docs: read replica edits #2359

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Oct 23, 2024
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docs: read replica edits #2359

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6 changes: 3 additions & 3 deletions content/docs/guides/read-replica-adhoc-queries.md
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Expand Up @@ -11,12 +11,12 @@ This is where **Neon Read Replicas** come in handy. With read replicas, you can

- You can add a fully functional read replica in seconds.
- There's no additional storage cost or data replication, as the replica uses the same storage as your primary compute.
- The read replica compute automatically scales to zero based on your [autosuspend](/docs/introduction/auto-suspend) settings, so you're only billed for the compute used while you run your ad-hoc query. By default, a compute suspends due to inactivity after 5 minutes of inactivity.
- You can remove a read replica as quickly as you created it or just leave it for the next time you need to run an ad-hoc query. The compute will remain suspended until you run your next query.
- The read replica compute automatically scales to zero based on your [autosuspend](/docs/introduction/auto-suspend) settings. By default, a compute suspends due to inactivity after 5 minutes of inactivity.
- You can remove a read replica as quickly as you created it or just leave it for next time. The compute will remain suspended until you run your next query.

## What is an ad-hoc query?

An ad-hoc query is an impromptu query used to retrieve specific data from your database. These queries are not part of routine reporting or pre-written scripts; they are created on the fly to answer immediate questions or perform temporary analysis. For example, if you want to quickly calculate the total sales for a product over the last month, you might write a simple SQL query like this:
An ad-hoc query is an impromptu query used to retrieve specific data from your database. These queries are not part of routine reporting or pre-written scripts; they are created on the fly to answer immediate questions or perform temporary analysis. For example, if you want to quickly calculate the total sales for a product over the last month, you might write an SQL query like this:

```sql
SELECT product_id, SUM(sale_amount)
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