ClickHouse/docs/en/sql-reference/aggregate-functions/reference/exponentialmovingaverage.md
2022-12-08 11:40:27 -05:00

151 lines
9.6 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

---
slug: /en/sql-reference/aggregate-functions/reference/exponentialmovingaverage
sidebar_position: 108
sidebar_title: exponentialMovingAverage
---
## exponentialMovingAverage
Сalculates the exponential moving average of values for the determined time.
**Syntax**
```sql
exponentialMovingAverage(x)(value, timestamp)
```
Each `value` corresponds to the determinate `timestamp`. The half-life `x` is the time lag at which the exponential weights decay by one-half. The function returns a weighted average: the older the time point, the less weight the corresponding value is considered to be.
**Arguments**
- `value` — Value. [Integer](../../../sql-reference/data-types/int-uint.md), [Float](../../../sql-reference/data-types/float.md) or [Decimal](../../../sql-reference/data-types/decimal.md).
- `timestamp` — Timestamp. [Integer](../../../sql-reference/data-types/int-uint.md), [Float](../../../sql-reference/data-types/float.md) or [Decimal](../../../sql-reference/data-types/decimal.md).
**Parameters**
- `x` — Half-life period. [Integer](../../../sql-reference/data-types/int-uint.md), [Float](../../../sql-reference/data-types/float.md) or [Decimal](../../../sql-reference/data-types/decimal.md).
**Returned values**
- Returnes an [exponentially smoothed moving average](https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average) of the values for the past `x` time at the latest point of time.
Type: [Float64](../../../sql-reference/data-types/float.md#float32-float64).
**Examples**
Input table:
``` text
┌──temperature─┬─timestamp──┐
│ 95 │ 1 │
│ 95 │ 2 │
│ 95 │ 3 │
│ 96 │ 4 │
│ 96 │ 5 │
│ 96 │ 6 │
│ 96 │ 7 │
│ 97 │ 8 │
│ 97 │ 9 │
│ 97 │ 10 │
│ 97 │ 11 │
│ 98 │ 12 │
│ 98 │ 13 │
│ 98 │ 14 │
│ 98 │ 15 │
│ 99 │ 16 │
│ 99 │ 17 │
│ 99 │ 18 │
│ 100 │ 19 │
│ 100 │ 20 │
└──────────────┴────────────┘
```
Query:
```sql
SELECT exponentialMovingAverage(5)(temperature, timestamp);
```
Result:
``` text
┌──exponentialMovingAverage(5)(temperature, timestamp)──┐
│ 92.25779635374204 │
└───────────────────────────────────────────────────────┘
```
Query:
```sql
SELECT
value,
time,
round(exp_smooth, 3),
bar(exp_smooth, 0, 1, 50) AS bar
FROM
(
SELECT
(number = 0) OR (number >= 25) AS value,
number AS time,
exponentialMovingAverage(10)(value, time) OVER (Rows BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS exp_smooth
FROM numbers(50)
)
```
Result:
``` text
┌─value─┬─time─┬─round(exp_smooth, 3)─┬─bar────────────────────────────────────────┐
│ 1 │ 0 │ 0.067 │ ███▎ │
│ 0 │ 1 │ 0.062 │ ███ │
│ 0 │ 2 │ 0.058 │ ██▊ │
│ 0 │ 3 │ 0.054 │ ██▋ │
│ 0 │ 4 │ 0.051 │ ██▌ │
│ 0 │ 5 │ 0.047 │ ██▎ │
│ 0 │ 6 │ 0.044 │ ██▏ │
│ 0 │ 7 │ 0.041 │ ██ │
│ 0 │ 8 │ 0.038 │ █▊ │
│ 0 │ 9 │ 0.036 │ █▋ │
│ 0 │ 10 │ 0.033 │ █▋ │
│ 0 │ 11 │ 0.031 │ █▌ │
│ 0 │ 12 │ 0.029 │ █▍ │
│ 0 │ 13 │ 0.027 │ █▎ │
│ 0 │ 14 │ 0.025 │ █▎ │
│ 0 │ 15 │ 0.024 │ █▏ │
│ 0 │ 16 │ 0.022 │ █ │
│ 0 │ 17 │ 0.021 │ █ │
│ 0 │ 18 │ 0.019 │ ▊ │
│ 0 │ 19 │ 0.018 │ ▊ │
│ 0 │ 20 │ 0.017 │ ▋ │
│ 0 │ 21 │ 0.016 │ ▋ │
│ 0 │ 22 │ 0.015 │ ▋ │
│ 0 │ 23 │ 0.014 │ ▋ │
│ 0 │ 24 │ 0.013 │ ▋ │
│ 1 │ 25 │ 0.079 │ ███▊ │
│ 1 │ 26 │ 0.14 │ ███████ │
│ 1 │ 27 │ 0.198 │ █████████▊ │
│ 1 │ 28 │ 0.252 │ ████████████▌ │
│ 1 │ 29 │ 0.302 │ ███████████████ │
│ 1 │ 30 │ 0.349 │ █████████████████▍ │
│ 1 │ 31 │ 0.392 │ ███████████████████▌ │
│ 1 │ 32 │ 0.433 │ █████████████████████▋ │
│ 1 │ 33 │ 0.471 │ ███████████████████████▌ │
│ 1 │ 34 │ 0.506 │ █████████████████████████▎ │
│ 1 │ 35 │ 0.539 │ ██████████████████████████▊ │
│ 1 │ 36 │ 0.57 │ ████████████████████████████▌ │
│ 1 │ 37 │ 0.599 │ █████████████████████████████▊ │
│ 1 │ 38 │ 0.626 │ ███████████████████████████████▎ │
│ 1 │ 39 │ 0.651 │ ████████████████████████████████▌ │
│ 1 │ 40 │ 0.674 │ █████████████████████████████████▋ │
│ 1 │ 41 │ 0.696 │ ██████████████████████████████████▋ │
│ 1 │ 42 │ 0.716 │ ███████████████████████████████████▋ │
│ 1 │ 43 │ 0.735 │ ████████████████████████████████████▋ │
│ 1 │ 44 │ 0.753 │ █████████████████████████████████████▋ │
│ 1 │ 45 │ 0.77 │ ██████████████████████████████████████▍ │
│ 1 │ 46 │ 0.785 │ ███████████████████████████████████████▎ │
│ 1 │ 47 │ 0.8 │ ███████████████████████████████████████▊ │
│ 1 │ 48 │ 0.813 │ ████████████████████████████████████████▋ │
│ 1 │ 49 │ 0.825 │ █████████████████████████████████████████▎│
└───────┴──────┴──────────────────────┴────────────────────────────────────────────┘
```