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Feb 18, 2025
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Updating Timeseries #883

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10 changes: 7 additions & 3 deletions website/src/pages/en/subgraphs/cookbook/timeseries.mdx
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Expand Up @@ -36,6 +36,10 @@ Timeseries and aggregations reduce data processing overhead and accelerate queri

## How to Implement Timeseries and Aggregations

### Prerequisites

You need `spec version 1.1.0` for this feature.

### Defining Timeseries Entities

A timeseries entity represents raw data points collected over time. It is defined with the `@entity(timeseries: true)` annotation. Key requirements:
Expand All @@ -51,7 +55,7 @@ Example:
type Data @entity(timeseries: true) {
id: Int8!
timestamp: Timestamp!
price: BigDecimal!
amount: BigDecimal!
}
```

Expand All @@ -68,11 +72,11 @@ Example:
type Stats @aggregation(intervals: ["hour", "day"], source: "Data") {
id: Int8!
timestamp: Timestamp!
sum: BigDecimal! @aggregate(fn: "sum", arg: "price")
sum: BigDecimal! @aggregate(fn: "sum", arg: "amount")
}
```

In this example, Stats aggregates the price field from Data over hourly and daily intervals, computing the sum.
In this example, Stats aggregates the amount field from Data over hourly and daily intervals, computing the sum.

### Querying Aggregated Data

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