# Median
# 函数简介
本函数用于计算单列数值型数据的精确或近似中位数。
函数名: MEDIAN
输入序列: 仅支持单个输入序列,类型为 INT32 / INT64 / FLOAT / DOUBLE
参数:
error
:近似中位数的基于排名的误差百分比,取值范围[0,1),默认值为0。如当error
=0.01时,计算出的中位数的真实排名百分比在0.49~0.51之间。当error
=0时,计算结果为精确中位数。
输出序列: 输出单个序列,类型为DOUBLE,序列仅包含一个时间戳为0、值为中位数的数据点。
# 使用示例
输入序列:
+-----------------------------+------------+
| Time|root.test.s0|
+-----------------------------+------------+
|2021-03-17T10:32:17.054+08:00| 0.5319929|
|2021-03-17T10:32:18.054+08:00| 0.9304316|
|2021-03-17T10:32:19.054+08:00| -1.4800133|
|2021-03-17T10:32:20.054+08:00| 0.6114087|
|2021-03-17T10:32:21.054+08:00| 2.5163336|
|2021-03-17T10:32:22.054+08:00| -1.0845392|
|2021-03-17T10:32:23.054+08:00| 1.0562582|
|2021-03-17T10:32:24.054+08:00| 1.3867859|
|2021-03-17T10:32:25.054+08:00| -0.45429882|
|2021-03-17T10:32:26.054+08:00| 1.0353678|
|2021-03-17T10:32:27.054+08:00| 0.7307929|
|2021-03-17T10:32:28.054+08:00| 2.3167255|
|2021-03-17T10:32:29.054+08:00| 2.342443|
|2021-03-17T10:32:30.054+08:00| 1.5809103|
|2021-03-17T10:32:31.054+08:00| 1.4829416|
|2021-03-17T10:32:32.054+08:00| 1.5800357|
|2021-03-17T10:32:33.054+08:00| 0.7124368|
|2021-03-17T10:32:34.054+08:00| -0.78597564|
|2021-03-17T10:32:35.054+08:00| 1.2058644|
|2021-03-17T10:32:36.054+08:00| 1.4215064|
|2021-03-17T10:32:37.054+08:00| 1.2808295|
|2021-03-17T10:32:38.054+08:00| -0.6173715|
|2021-03-17T10:32:39.054+08:00| 0.06644377|
|2021-03-17T10:32:40.054+08:00| 2.349338|
|2021-03-17T10:32:41.054+08:00| 1.7335888|
|2021-03-17T10:32:42.054+08:00| 1.5872132|
............
Total line number = 10000
用于查询的SQL语句:
select median(s0, "error"="0.01") from root.test
输出序列:
+-----------------------------+------------------------------------+
| Time|median(root.test.s0, "error"="0.01")|
+-----------------------------+------------------------------------+
|1970-01-01T08:00:00.000+08:00| 1.021884560585022|
+-----------------------------+------------------------------------+