> For the complete documentation index, see [llms.txt](https://docs.carto.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.carto.com/data-and-analysis/analytics-toolbox-for-snowflake/guides/running-queries-from-builder.md).
# Running queries from Builder
## Requirements
To run this example you'll need:
* An active CARTO organization
* The latest version of the [Analytics Toolbox](/data-and-analysis/analytics-toolbox-for-snowflake/getting-access.md) installed in your Snowflake database
## Guide
Once you have gained access to the Analytics Toolbox through the Snowflake Data Marketplace (see [*Getting Access*](/data-and-analysis/analytics-toolbox-for-snowflake/getting-access.md) for details), you can create custom SQL layers in Builder that make use of any of the available spatial functions.
To get started, let’s run a simple example query to cluster a set of points using the [`ST_CLUSTERKMEANS`](https://docs.carto.com/data-and-analysis/analytics-toolbox-for-snowflake/sql-reference/clustering#st_clusterkmeans) function from the *clustering* module.
1. Click on the *Add source from* button in Builder, that can be found at the bottom left of the screen.
2. Select the second tab *Custom Query (SQL)* and pick the Snowflake connection that you will use to run the query. Please make sure this connection has access to the Analytics Toolbox database.
3. Click on *Add source*. A SQL console will be displayed.
4. Copy and paste the following query:
```sql
WITH data AS(
SELECT geog
FROM MYDB.MYSCHEMA.starbucks_locations_usa
WHERE geog IS NOT null
ORDER BY id
),
clustered_points AS
(
SELECT CARTO.CARTO.ST_CLUSTERKMEANS(ARRAY_AGG(ST_ASGEOJSON(geog)::STRING), 8) AS cluster_arr
FROM data
)
SELECT GET(VALUE, 'cluster') AS cluster, TO_GEOGRAPHY(GET(VALUE, 'geom')) AS geom
FROM clustered_points, lateral FLATTEN(input => cluster_arr)
```
5. Run the query. This query computes eight clusters from the points of the `starbucks_locations_usa` table, provided as sample data within the Analytics Toolbox. As a result, each point is assigned a `cluster` ID.
6. Style the layer by the `cluster` attribute.
{% hint style="info" %}
For more examples, visit the [Examples](https://academy.carto.com/advanced-spatial-analytics/spatial-analytics-for-snowflake/step-by-step-tutorials) section or try executing any of the queries included in every function definition in the [SQL Reference](https://docs.carto.com/data-and-analysis/analytics-toolbox-for-snowflake/sql-reference).
{% endhint %}
---
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