Influx聚合查询return错误时间

Question

我是一个新的 influxdb 用户，我的 influxDB 版本是 1.7.1。我在涌入时遇到问题。

我有一个名为 lv_table 的测量，Listing_id 和 event_type 是标签，event_id 是字段

select *  from "lv_table" limit 10 
name: lv_table
time             Listing_id event_id event_type
----             ---------- -------- ----------
1542711774019000 105202696  4        "leads"
1542711774020000 105497566  66       "view"
1542711774021000 95532296   66       "view"
1542711774021000 98830991   1        "leads"
1542711774022000 105456186  66       "view"
1542711774023000 94326731   66       "view"
1542711774025000 104584666  66       "view"
1542711774028000 105603346  66       "view"
1542711774035000 99913981   66       "view"
1542711774037000 105430516  3        "leads"

但是当我在 cli 中使用 "precision RFC3339" 时，该查询 return 1970 年的日期如 '1970-01-18T20:31:51.774019Z' 但正确的时间是 '2018-11- 20T20:31:51.774019Z'

> precision RFC3339
> select *  from "lv_table" limit 10 
name: lv_table
time                        Listing_id event_id event_type
----                        ---------- -------- ----------
1970-01-18T20:31:51.774019Z 105202696  4        "leads"
1970-01-18T20:31:51.77402Z  105497566  66       "view"
1970-01-18T20:31:51.774021Z 95532296   66       "view"
1970-01-18T20:31:51.774021Z 98830991   1        "leads"
1970-01-18T20:31:51.774022Z 105456186  66       "view"
1970-01-18T20:31:51.774023Z 94326731   66       "view"
1970-01-18T20:31:51.774025Z 104584666  66       "view"
1970-01-18T20:31:51.774028Z 105603346  66       "view"
1970-01-18T20:31:51.774035Z 99913981   66       "view"
1970-01-18T20:31:51.774037Z 105430516  1        "leads"
>

有什么问题，我该如何解决？

在聚合查询中，它变得值得...并在 2016 年显示时间，但它应该在 2018-11-20 日期

1468800000000000 = 2016 年 7 月 18 日，星期一 12:00:00 上午

select count(*) as count_leads  from "lv_table" where "event_type" = '"leads"' and time < 1542745800000000 group by Listing_id,time(1d)
>...
name: lv_table
tags: Listing_id=99965506
time             count_leads_event_id
----             --------------------
1468800000000000 1

name: lv_table
tags: Listing_id=99965771
time             count_leads_event_id
----             --------------------
1468800000000000 2

name: lv_table
tags: Listing_id=99966146
time             count_leads_event_id
----             --------------------
1468800000000000 1

name: lv_table
tags: Listing_id=99966736
time             count_leads_event_id
----             --------------------
1468800000000000 3
...

如果我不按时间分组，时间将等于0

Answer 1

自 1970 年 1 月 1 日以来，Influxdb 在内部将时间戳存储为纳秒，因此您的第一个数据点实际上被解释为： 1542711774019000 ns -> 1542711 s -> Sun Jan 18 20:31:51 UTC 1970 这就是您在 cli.

中使用 "precision RFC3339" 时看到的内容

不确定你是怎么得到的

1468800000000000 = Monday, July 18, 2016 12:00:00 AM

1468800000000000 ns -> 1468800 s -> Sun Jan 18 00:00:00 UTC 1970 这是您的第一个数据点时间戳四舍五入为 1 天。

您没有描述如何将数据放入 table。在 Influx HTTP API 中，您可以使用可选查询参数指定输入时间戳数据的精度（参见 InfluxDB HTTP API reference）。

influx 中的

Precision 设置说明了如何处理输入时间戳数据。输入的时间戳值始终是整数（不是 rfc3339 字符串）。并且这个整数是根据精度设置来解释的。

precision=[ns,u,ms,s,m,h] Optional Sets the precision for the supplied Unix time values. InfluxDB assumes that timestamps are in nanoseconds if you do not specify precision (see Influx docs here)

它也影响查询结果的输出格式。请参阅以下示例：

```

> precision ns
> insert demo value="precisionNS TS treated as nanoseconds" 1543220939000000000
> precision s
> insert demo value="precisionS TS treated as seconds" 1543220940
> precision ms
> insert demo value="precisionMS TS treated as ms" 1543220940123
> precision rfc3339
> select * from demo
name: demo
time                           value
----                           -----
2018-11-26T08:28:59Z           precisionNS TS treated as nanoseconds
2018-11-26T08:28:59.123456789Z precisionNS TS treated as nanoseconds
2018-11-26T08:29:00Z           precisionS TS treated as seconds
2018-11-26T08:29:00.123Z       precisionMS TS treated as ms
> 
> precision s
> select * from demo
name: demo
time       value
----       -----
1543220939 precisionNS TS treated as nanoseconds
1543220939 precisionNS TS treated as nanoseconds
1543220940 precisionS TS treated as seconds
1543220940 precisionMS TS treated as ms
> 
> precision ns
> select * from demo
name: demo
time                value
----                -----
1543220939000000000 precisionNS TS treated as nanoseconds
1543220939123456789 precisionNS TS treated as nanoseconds
1543220940000000000 precisionS TS treated as seconds
1543220940123000000 precisionMS TS treated as ms

```

Influx聚合查询return错误时间

Influx aggregation query return wrong time

precision

time

aggregation

influxdb