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> Use this file to discover all available pages before exploring further.

> 按时间戳升序对时间序列进行排序。

# timeSeriesGroupArray

<div id="timeSeriesGroupArray">
  ## timeSeriesGroupArray
</div>

引入版本：v25.8.0

按时间戳升序对时间序列数据进行排序。

<Note>
  此函数为实验性功能，请通过设置 `allow_experimental_ts_to_grid_aggregate_function=true` 启用。
</Note>

**语法**

```sql theme={null}
timeSeriesGroupArray(timestamp, value)
```

**参数**

* `timestamp` — 样本的时间戳。[`DateTime`](/zh/reference/data-types/datetime) 或 [`UInt32`](/zh/reference/data-types/int-uint) 或 [`UInt64`](/zh/reference/data-types/int-uint)
* `value` — 与该时间戳对应的时间序列值。[`(U)Int*`](/zh/reference/data-types/int-uint) 或 [`Float*`](/zh/reference/data-types/float) 或 [`Decimal`](/zh/reference/data-types/decimal)

**返回值**

返回一个按时间戳升序排列的 `(timestamp, value)` 元组数组。如果同一时间戳对应多个值，则函数会选择其中最大的值。[`Array(Tuple(T1, T2))`](/zh/reference/data-types/array)

**示例**

**单个值的基本用法**

```sql title=Query theme={null}
WITH
    [110, 120, 130, 140, 140, 100]::Array(UInt32) AS timestamps,
    [1, 6, 8, 17, 19, 5]::Array(Float32) AS values
SELECT timeSeriesGroupArray(timestamp, value)
FROM
(
    SELECT
        arrayJoin(arrayZip(timestamps, values)) AS ts_and_val,
        ts_and_val.1 AS timestamp,
        ts_and_val.2 AS value
);
```

```response title=Response theme={null}
┌─timeSeriesGroupArray(timestamp, value)───────────────┐
│ [(100, 5), (110, 1), (120, 6), (130, 8), (140, 19)]  │
└──────────────────────────────────────────────────────┘
```

**将多个时间戳样本和值以等长数组的形式传递**

```sql title=Query theme={null}
WITH
    [110, 120, 130, 140, 140, 100]::Array(UInt32) AS timestamps,
    [1, 6, 8, 17, 19, 5]::Array(Float32) AS values
SELECT timeSeriesGroupArray(timestamps, values);
```

```response title=Response theme={null}
┌─timeSeriesGroupArray(timestamps, values)──────────────┐
│ [(100, 5), (110, 1), (120, 6), (130, 8), (140, 19)]   │
└───────────────────────────────────────────────────────┘
```