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WIP update-aggregate-funcions-in-zh
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@ -527,79 +527,6 @@ uniqExact(x[, ...])
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- [uniqHLL12](#agg_function-uniqhll12)
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## groupArrayMovingSum {#agg_function-grouparraymovingsum}
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计算输入值的移动和。
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``` sql
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groupArrayMovingSum(numbers_for_summing)
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groupArrayMovingSum(window_size)(numbers_for_summing)
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```
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该函数可以将窗口大小作为参数。 如果未指定，则该函数的窗口大小等于列中的行数。
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**参数**
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- `numbers_for_summing` — [表达式](../syntax.md#syntax-expressions) 为数值数据类型值。
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- `window_size` — 窗口大小。
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**返回值**
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- 与输入数据大小和类型相同的数组。
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**示例**
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样品表:
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``` sql
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CREATE TABLE t
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(
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`int` UInt8,
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`float` Float32,
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`dec` Decimal32(2)
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)
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ENGINE = TinyLog
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```
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``` text
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┌─int─┬─float─┬──dec─┐
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│ 1 │ 1.1 │ 1.10 │
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│ 2 │ 2.2 │ 2.20 │
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│ 4 │ 4.4 │ 4.40 │
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│ 7 │ 7.77 │ 7.77 │
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└─────┴───────┴──────┘
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```
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查询:
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``` sql
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SELECT
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groupArrayMovingSum(int) AS I,
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groupArrayMovingSum(float) AS F,
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groupArrayMovingSum(dec) AS D
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FROM t
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```
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``` text
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┌─I──────────┬─F───────────────────────────────┬─D──────────────────────┐
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│ [1,3,7,14] │ [1.1,3.3000002,7.7000003,15.47] │ [1.10,3.30,7.70,15.47] │
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└────────────┴─────────────────────────────────┴────────────────────────┘
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```
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``` sql
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SELECT
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groupArrayMovingSum(2)(int) AS I,
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groupArrayMovingSum(2)(float) AS F,
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groupArrayMovingSum(2)(dec) AS D
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FROM t
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```
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``` text
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┌─I──────────┬─F───────────────────────────────┬─D──────────────────────┐
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│ [1,3,6,11] │ [1.1,3.3000002,6.6000004,12.17] │ [1.10,3.30,6.60,12.17] │
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└────────────┴─────────────────────────────────┴────────────────────────┘
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```
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## groupUniqArray(x), groupUniqArray(max_size)(x) {#groupuniqarrayx-groupuniqarraymax-sizex}
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从不同的参数值创建一个数组。 内存消耗是一样的 `uniqExact` 功能。
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@ -4,27 +4,32 @@ toc_priority: 113
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# groupArrayMovingSum {#agg_function-grouparraymovingsum}
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Calculates the moving sum of input values.
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计算输入值的移动和。
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**语法**
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``` sql
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groupArrayMovingSum(numbers_for_summing)
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groupArrayMovingSum(window_size)(numbers_for_summing)
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```
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The function can take the window size as a parameter. If left unspecified, the function takes the window size equal to the number of rows in the column.
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该函数可以将窗口大小作为参数。 如果未指定，则该函数的窗口大小等于列中的行数。
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**Parameters**
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**参数**
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- `numbers_for_summing` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) resulting in a numeric data type value.
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- `window_size` — Size of the calculation window.
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- `numbers_for_summing` — [表达式](../../../sql-reference/syntax.md#syntax-expressions) 生成数值数据类型值。。
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- `window_size` — 窗口大小。
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**Returned values**
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**返回值**
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- Array of the same size and type as the input data.
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- 与输入数据大小相同的数组。
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对于输入数据类型是[Decimal](../../../sql-reference/data-types/decimal.md) 数组元素类型是 `Decimal128` 。
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对于其他的数值类型, 获取其对应的 `NearestFieldType` 。
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**Example**
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**示例**
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The sample table:
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样表:
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``` sql
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CREATE TABLE t
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@ -45,7 +50,7 @@ ENGINE = TinyLog
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└─────┴───────┴──────┘
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```
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The queries:
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查询:
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``` sql
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SELECT
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@ -4,29 +4,30 @@ toc_priority: 114
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# groupArraySample {#grouparraysample}
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Creates an array of sample argument values. The size of the resulting array is limited to `max_size` elements. Argument values are selected and added to the array randomly.
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构建一个参数值的采样数组。
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结果数组的大小限制为 `max_size` 个元素。参数值被随机选择并添加到数组中。
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**Syntax**
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**语法**
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``` sql
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groupArraySample(max_size[, seed])(x)
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```
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**Parameters**
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**参数**
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- `max_size` — Maximum size of the resulting array. [UInt64](../../data-types/int-uint.md).
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- `seed` — Seed for the random number generator. Optional. [UInt64](../../data-types/int-uint.md). Default value: `123456`.
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- `x` — Argument (column name or expression).
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- `max_size` — 结果数组的最大长度. [UInt64](../../data-types/int-uint.md)。
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- `seed` — 随机数发生器的种子. 可选。 [UInt64](../../data-types/int-uint.md)。 默认值: `123456`。
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- `x` — 参数 (列名 或者 表达式).
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**Returned values**
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**返回值**
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- Array of randomly selected `x` arguments.
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- 随机选取参数 `x` (的值)组成的数组。
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Type: [Array](../../data-types/array.md).
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类型: [Array](../../../data-types/array.md).
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**Examples**
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**示例**
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Consider table `colors`:
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样表 `colors`:
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``` text
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┌─id─┬─color──┐
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@ -38,13 +39,13 @@ Consider table `colors`:
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└────┴────────┘
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```
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Query with column name as argument:
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使用列名做参数查询:
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``` sql
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SELECT groupArraySample(3)(color) as newcolors FROM colors;
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```
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Result:
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结果:
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```text
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┌─newcolors──────────────────┐
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@ -52,13 +53,13 @@ Result:
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└────────────────────────────┘
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```
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Query with column name and different seed:
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使用列名和不同的(随机数)种子查询:
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``` sql
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SELECT groupArraySample(3, 987654321)(color) as newcolors FROM colors;
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```
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Result:
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结果:
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```text
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┌─newcolors──────────────────┐
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@ -66,13 +67,13 @@ Result:
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└────────────────────────────┘
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```
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Query with expression as argument:
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使用表达式做参数查询:
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``` sql
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SELECT groupArraySample(3)(concat('light-', color)) as newcolors FROM colors;
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```
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Result:
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结果:
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```text
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┌─newcolors───────────────────────────────────┐
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