使用 Flux 在 InfluxDB 中对数据进行分组
此页面记录了早期版本的 InfluxDB OSS。InfluxDB OSS v2 是最新的稳定版本。请参阅等效的 InfluxDB v2 文档： 使用 Flux 在 InfluxDB 中对数据进行分组。
使用 Flux，您可以按查询数据集中的任何列对数据进行分组。“分组”将数据分区到表中，其中每行对于指定的列共享一个公共值。本指南将引导您完成 Flux 中的数据分组，并提供有关数据在此过程中如何成形的示例。
如果您刚开始使用 Flux 查询，请查看以下内容
组键
每个表都有一个 组键 – 列的列表，表中每行的列都具有相同的值。
组键示例
[_start, _stop, _field, _measurement, host]
Flux 中的数据分组本质上是定义输出表的组键。了解修改组键如何影响输出数据是成功分组并将数据转换为所需输出的关键。
group() 函数
Flux 的 group() 函数 定义了输出表的组键，即基于特定列的值对记录进行分组。
group() 示例
dataStream
|> group(columns: ["cpu", "host"])
结果组键
[cpu, host]
group() 函数具有以下参数
columns
要在分组操作中包含或排除的列列表（取决于 mode）。
mode
用于定义组和结果组键的方法。可能的值包括 by 和 except。
分组操作示例
为了说明分组的工作原理，请定义一个 dataSet 变量，该变量从 db/rp 存储桶查询系统 CPU 使用率。过滤 cpu 标签，使其仅返回每个编号 CPU 核心的结果。
数据集
所有编号的 CPU 核心的系统操作使用的 CPU。它使用正则表达式来仅过滤编号的核心。
dataSet = from(bucket: "db/rp")
|> range(start: -2m)
|> filter(fn: (r) =>
r._field == "usage_system" and
r.cpu =~ /cpu[0-9*]/
)
|> drop(columns: ["host"])
此示例从返回的数据中删除 host 列，因为仅跟踪单个主机的 CPU 数据，并且它简化了输出表。如果监控多个主机，请勿删除 host 列。
Table: keys: [_start, _stop, _field, _measurement, cpu]
_start:time _stop:time _field:string _measurement:string cpu:string _time:time _value:float
------------------------------ ------------------------------ ---------------------- ---------------------- ---------------------- ------------------------------ ----------------------------
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:34:00.000000000Z 7.892107892107892
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:34:10.000000000Z 7.2
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:34:20.000000000Z 7.4
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:34:30.000000000Z 5.5
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:34:40.000000000Z 7.4
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:34:50.000000000Z 7.5
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:35:00.000000000Z 10.3
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:35:10.000000000Z 9.2
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:35:20.000000000Z 8.4
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:35:30.000000000Z 8.5
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:35:40.000000000Z 8.6
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:35:50.000000000Z 10.2
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu0 2018-11-05T21:36:00.000000000Z 10.6
Table: keys: [_start, _stop, _field, _measurement, cpu]
_start:time _stop:time _field:string _measurement:string cpu:string _time:time _value:float
------------------------------ ------------------------------ ---------------------- ---------------------- ---------------------- ------------------------------ ----------------------------
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:34:00.000000000Z 0.7992007992007992
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:34:10.000000000Z 0.7
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:34:20.000000000Z 0.7
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:34:30.000000000Z 0.4
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:34:40.000000000Z 0.7
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:34:50.000000000Z 0.7
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:35:00.000000000Z 1.4
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:35:10.000000000Z 1.2
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:35:20.000000000Z 0.8
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:35:30.000000000Z 0.8991008991008991
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:35:40.000000000Z 0.8008008008008008
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:35:50.000000000Z 0.999000999000999
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu1 2018-11-05T21:36:00.000000000Z 1.1022044088176353
Table: keys: [_start, _stop, _field, _measurement, cpu]
_start:time _stop:time _field:string _measurement:string cpu:string _time:time _value:float
------------------------------ ------------------------------ ---------------------- ---------------------- ---------------------- ------------------------------ ----------------------------
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:34:00.000000000Z 4.1
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:34:10.000000000Z 3.6
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:34:20.000000000Z 3.5
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:34:30.000000000Z 2.6
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:34:40.000000000Z 4.5
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:34:50.000000000Z 4.895104895104895
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:35:00.000000000Z 6.906906906906907
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:35:10.000000000Z 5.7
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:35:20.000000000Z 5.1
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:35:30.000000000Z 4.7
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:35:40.000000000Z 5.1
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:35:50.000000000Z 5.9
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu2 2018-11-05T21:36:00.000000000Z 6.4935064935064934
Table: keys: [_start, _stop, _field, _measurement, cpu]
_start:time _stop:time _field:string _measurement:string cpu:string _time:time _value:float
------------------------------ ------------------------------ ---------------------- ---------------------- ---------------------- ------------------------------ ----------------------------
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:34:00.000000000Z 0.5005005005005005
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:34:10.000000000Z 0.5
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:34:20.000000000Z 0.5
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:34:30.000000000Z 0.3
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:34:40.000000000Z 0.6
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:34:50.000000000Z 0.6
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:35:00.000000000Z 1.3986013986013985
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:35:10.000000000Z 0.9
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:35:20.000000000Z 0.5005005005005005
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:35:30.000000000Z 0.7
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:35:40.000000000Z 0.6
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:35:50.000000000Z 0.8
2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z usage_system cpu cpu3 2018-11-05T21:36:00.000000000Z 0.9
请注意，组键与每个表一起输出：Table: keys: <group-key>。
按 CPU 分组
按 cpu 列对 dataSet 流进行分组。
dataSet
|> group(columns: ["cpu"])
这实际上不会更改数据的结构，因为它已经在组键中包含 cpu，因此已按 cpu 分组。但是，请注意，它确实更改了组键
按 CPU 分组输出表
Table: keys: [cpu]
cpu:string _stop:time _time:time _value:float _field:string _measurement:string _start:time
---------------------- ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:00.000000000Z 7.892107892107892 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:10.000000000Z 7.2 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:20.000000000Z 7.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:30.000000000Z 5.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:40.000000000Z 7.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:50.000000000Z 7.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:00.000000000Z 10.3 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:10.000000000Z 9.2 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:20.000000000Z 8.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:30.000000000Z 8.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:40.000000000Z 8.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:50.000000000Z 10.2 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu0 2018-11-05T21:36:00.000000000Z 2018-11-05T21:36:00.000000000Z 10.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [cpu]
cpu:string _stop:time _time:time _value:float _field:string _measurement:string _start:time
---------------------- ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:00.000000000Z 0.7992007992007992 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:10.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:20.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:30.000000000Z 0.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:40.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:50.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:00.000000000Z 1.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:10.000000000Z 1.2 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:20.000000000Z 0.8 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:30.000000000Z 0.8991008991008991 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:40.000000000Z 0.8008008008008008 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:50.000000000Z 0.999000999000999 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu1 2018-11-05T21:36:00.000000000Z 2018-11-05T21:36:00.000000000Z 1.1022044088176353 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [cpu]
cpu:string _stop:time _time:time _value:float _field:string _measurement:string _start:time
---------------------- ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:00.000000000Z 4.1 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:10.000000000Z 3.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:20.000000000Z 3.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:30.000000000Z 2.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:40.000000000Z 4.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:50.000000000Z 4.895104895104895 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:00.000000000Z 6.906906906906907 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:10.000000000Z 5.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:20.000000000Z 5.1 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:30.000000000Z 4.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:40.000000000Z 5.1 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:50.000000000Z 5.9 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu2 2018-11-05T21:36:00.000000000Z 2018-11-05T21:36:00.000000000Z 6.4935064935064934 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [cpu]
cpu:string _stop:time _time:time _value:float _field:string _measurement:string _start:time
---------------------- ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:00.000000000Z 0.5005005005005005 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:10.000000000Z 0.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:20.000000000Z 0.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:30.000000000Z 0.3 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:40.000000000Z 0.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:50.000000000Z 0.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:00.000000000Z 1.3986013986013985 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:10.000000000Z 0.9 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:20.000000000Z 0.5005005005005005 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:30.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:40.000000000Z 0.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:35:50.000000000Z 0.8 usage_system cpu 2018-11-05T21:34:00.000000000Z
cpu3 2018-11-05T21:36:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.9 usage_system cpu 2018-11-05T21:34:00.000000000Z
可视化效果保持不变。
按时间分组
按 _time 列对数据进行分组很好地说明了分组如何更改数据的结构。
dataSet
|> group(columns: ["_time"])
按 _time 分组时，共享公共 _time 值的所有记录都分组到单独的表中。因此，每个输出表代表一个时间点。
按时间分组输出表
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:34:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 7.892107892107892 usage_system cpu cpu0
2018-11-05T21:34:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.7992007992007992 usage_system cpu cpu1
2018-11-05T21:34:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 4.1 usage_system cpu cpu2
2018-11-05T21:34:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.5005005005005005 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:34:10.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 7.2 usage_system cpu cpu0
2018-11-05T21:34:10.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu cpu1
2018-11-05T21:34:10.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 3.6 usage_system cpu cpu2
2018-11-05T21:34:10.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.5 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:34:20.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 7.4 usage_system cpu cpu0
2018-11-05T21:34:20.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu cpu1
2018-11-05T21:34:20.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 3.5 usage_system cpu cpu2
2018-11-05T21:34:20.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.5 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:34:30.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 5.5 usage_system cpu cpu0
2018-11-05T21:34:30.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.4 usage_system cpu cpu1
2018-11-05T21:34:30.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 2.6 usage_system cpu cpu2
2018-11-05T21:34:30.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.3 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:34:40.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 7.4 usage_system cpu cpu0
2018-11-05T21:34:40.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu cpu1
2018-11-05T21:34:40.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 4.5 usage_system cpu cpu2
2018-11-05T21:34:40.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.6 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:34:50.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 7.5 usage_system cpu cpu0
2018-11-05T21:34:50.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu cpu1
2018-11-05T21:34:50.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 4.895104895104895 usage_system cpu cpu2
2018-11-05T21:34:50.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.6 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:35:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 10.3 usage_system cpu cpu0
2018-11-05T21:35:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 1.4 usage_system cpu cpu1
2018-11-05T21:35:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 6.906906906906907 usage_system cpu cpu2
2018-11-05T21:35:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 1.3986013986013985 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:35:10.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 9.2 usage_system cpu cpu0
2018-11-05T21:35:10.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 1.2 usage_system cpu cpu1
2018-11-05T21:35:10.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 5.7 usage_system cpu cpu2
2018-11-05T21:35:10.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.9 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:35:20.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 8.4 usage_system cpu cpu0
2018-11-05T21:35:20.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.8 usage_system cpu cpu1
2018-11-05T21:35:20.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 5.1 usage_system cpu cpu2
2018-11-05T21:35:20.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.5005005005005005 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:35:30.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 8.5 usage_system cpu cpu0
2018-11-05T21:35:30.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.8991008991008991 usage_system cpu cpu1
2018-11-05T21:35:30.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 4.7 usage_system cpu cpu2
2018-11-05T21:35:30.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:35:40.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 8.6 usage_system cpu cpu0
2018-11-05T21:35:40.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.8008008008008008 usage_system cpu cpu1
2018-11-05T21:35:40.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 5.1 usage_system cpu cpu2
2018-11-05T21:35:40.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.6 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:35:50.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 10.2 usage_system cpu cpu0
2018-11-05T21:35:50.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.999000999000999 usage_system cpu cpu1
2018-11-05T21:35:50.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 5.9 usage_system cpu cpu2
2018-11-05T21:35:50.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.8 usage_system cpu cpu3
Table: keys: [_time]
_time:time _start:time _stop:time _value:float _field:string _measurement:string cpu:string
------------------------------ ------------------------------ ------------------------------ ---------------------------- ---------------------- ---------------------- ----------------------
2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 10.6 usage_system cpu cpu0
2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 1.1022044088176353 usage_system cpu cpu1
2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 6.4935064935064934 usage_system cpu cpu2
2018-11-05T21:36:00.000000000Z 2018-11-05T21:34:00.000000000Z 2018-11-05T21:36:00.000000000Z 0.9 usage_system cpu cpu3
由于每个时间戳都构造为单独的表，因此在可视化时，共享相同时间戳的所有点都显示为已连接。
通过进一步处理，您可以计算每个时间点所有 CPU 的平均 CPU 使用率，并将它们分组到单个表中，但我们不会在本示例中介绍这一点。如果您有兴趣自己运行和可视化此操作，则查询如下所示
dataSet
|> group(columns: ["_time"])
|> mean()
|> group(columns: ["_value", "_time"], mode: "except")
按 CPU 和时间分组
按 cpu 和 _time 列分组。
dataSet
|> group(columns: ["cpu", "_time"])
这为每个唯一的 cpu 和 _time 组合输出一个表
按 CPU 和时间分组输出表
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:00.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 7.892107892107892 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:00.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.7992007992007992 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:00.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 4.1 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:00.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.5005005005005005 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:10.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 7.2 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:10.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:10.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 3.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:10.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:20.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 7.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:20.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:20.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 3.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:20.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:30.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 5.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:30.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:30.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 2.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:30.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.3 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:40.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 7.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:40.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:40.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 4.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:40.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:50.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 7.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:50.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:50.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 4.895104895104895 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:34:50.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:00.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 10.3 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:00.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 1.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:00.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 6.906906906906907 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:00.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 1.3986013986013985 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:10.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 9.2 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:10.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 1.2 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:10.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 5.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:10.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.9 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:20.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 8.4 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:20.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.8 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:20.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 5.1 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:20.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.5005005005005005 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:30.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 8.5 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:30.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.8991008991008991 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:30.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 4.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:30.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.7 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:40.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 8.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:40.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.8008008008008008 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:40.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 5.1 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:40.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:50.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 10.2 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:50.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 0.999000999000999 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:50.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 5.9 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:35:50.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.8 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:36:00.000000000Z cpu0 2018-11-05T21:36:00.000000000Z 10.6 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:36:00.000000000Z cpu1 2018-11-05T21:36:00.000000000Z 1.1022044088176353 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:36:00.000000000Z cpu2 2018-11-05T21:36:00.000000000Z 6.4935064935064934 usage_system cpu 2018-11-05T21:34:00.000000000Z
Table: keys: [_time, cpu]
_time:time cpu:string _stop:time _value:float _field:string _measurement:string _start:time
------------------------------ ---------------------- ------------------------------ ---------------------------- ---------------------- ---------------------- ------------------------------
2018-11-05T21:36:00.000000000Z cpu3 2018-11-05T21:36:00.000000000Z 0.9 usage_system cpu 2018-11-05T21:34:00.000000000Z
可视化时，表显示为单独的、未连接的点。
按 cpu 和 _time 分组很好地说明了分组的工作原理。
结论
分组是将数据塑造为您所需输出格式的强大方法。它修改输出表的组键，将记录分组到在指定列中共享公共值的所有表中。
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