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Copy file name to clipboardExpand all lines: docs/query/query-executions.md
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@@ -24,6 +24,38 @@ Query executions on Dune are triggered in four ways:
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4.**Popular dashboards** are automatically refreshed based on their popularity. We measure popularity based on the number of views a dashboard has received. The most popular dashboards are refreshed every hour, the less popular dashboards are refreshed every 24 hours. Popular dashboards are refreshed via the community cluster.
You can trigger query executions via the API. This is useful if you want to embed a query result in your own application or if you want to trigger a query execution via a cron job.
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[→ API executions](../api/api-reference/execute-queries/index.md)
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=== "popular dashboard executions"
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Popular dashboards are automatically refreshed based on their popularity. We measure popularity based on the number of views a dashboard has received. The most popular dashboards are refreshed every hour, the less popular dashboards are refreshed every 24 hours. Popular dashboards are refreshed via the community cluster.
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<divclass="cards grid"markdown>
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-#### Interactive executions
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You can trigger query executions via the API. This is useful if you want to embed a query result in your own application or if you want to trigger a query execution via a cron job.
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[→ API executions](../api/api-reference/execute-queries/index.md)
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=== "popular dashboard executions"
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Popular dashboards are automatically refreshed based on their popularity. We measure popularity based on the number of views a dashboard has received. The most popular dashboards are refreshed every hour, the less popular dashboards are refreshed every 24 hours. Popular dashboards are refreshed via the community cluster.
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## Query engine size
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Dune has three query engine sizes: **community**, **medium**, and **large**. The query engine size determines the amount of resources allocated to your query. The larger the query engine, the more resources are allocated to your query. This means that queries executed on a larger query engine will run faster and are less likely to time out.
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