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updated noaa data import to be relative to now, closes #1696

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Scott Anderson 2020-12-07 15:59:35 -07:00
parent 29649ccc05
commit 1916d305ec
2 changed files with 50 additions and 3 deletions
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32
content/influxdb/cloud/reference/sample-data.md
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@ -52,3 +52,35 @@ to query and analyze the geo-temporal data in this sample data set.
</a>
_Used in [Work with geo-temporal data](/influxdb/cloud/query-data/flux/geo/)._
### NOAA water sample data
This data set is publicly available data from the [National Oceanic and Atmospheric Administration’s (NOAA) Center for Operational Oceanographic Products and Services](http://tidesandcurrents.noaa.gov/stations.html).
[The CSV data](https://influx-testdata.s3.amazonaws.com/noaa.csv) includes 15,258
observations of water levels (ft) collected every six minutes at two stations
(Santa Monica, CA (ID 9410840) and Coyote Creek, CA (ID 9414575)) over the period
from August 18, 2015 through September 18, 2015.
To avoid having to re-download this 10MB dataset every time you run a query,
we recommend that you [create a new bucket](/influxdb/cloud/organizations/buckets/create-bucket/)
(`noaa`) and write the NOAA data to it.
We also recommend updating the timestamps of the data to be relative to `now()`.
To do so, run the following:
```js
import "experimental/csv"
relativeToNow = (tables=<-) =>
tables
|> elapsed()
|> sort(columns: ["_time"], desc: true)
|> cumulativeSum(columns: ["elapsed"])
|> map(fn: (r) => ({ r with _time: time(v: int(v: now()) - (r.elapsed * 1000000000))}))
csv.from(url: "https://influx-testdata.s3.amazonaws.com/noaa.csv")
|> relativeToNow()
|> to(bucket: "noaa", org: "example-org")
```
_Used in [Common queries](/influxdb/cloud/query-data/common-queries/) and [Common tasks](/influxdb/cloud/process-data/common-tasks/)._

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content/influxdb/v2.0/reference/sample-data.md
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@ -48,15 +48,30 @@ _Used in [Work with geo-temporal data](/influxdb/v2.0/query-data/flux/geo/)._
This data set is publicly available data from the [National Oceanic and Atmospheric Administration’s (NOAA) Center for Operational Oceanographic Products and Services](http://tidesandcurrents.noaa.gov/stations.html).
[The CSV data](https://influx-testdata.s3.amazonaws.com/noaa.csv) includes 15,258 observations of water levels (ft) collected every six minutes at two stations (Santa Monica, CA (ID 9410840) and Coyote Creek, CA (ID 9414575)) over the period from August 18, 2015 through September 18, 2015.
[The CSV data](https://influx-testdata.s3.amazonaws.com/noaa.csv) includes 15,258
observations of water levels (ft) collected every six minutes at two stations
(Santa Monica, CA (ID 9410840) and Coyote Creek, CA (ID 9414575)) over the period
from August 18, 2015 through September 18, 2015.
To avoid having to re-download this 10MB dataset every time you run a query, we recommend that you [create a new bucket](/influxdb/v2.0/organizations/buckets/create-bucket/) (`noaa`) and write the NOAA data to it. To do so, run the following:
To avoid having to re-download this 10MB dataset every time you run a query,
we recommend that you [create a new bucket](/influxdb/v2.0/organizations/buckets/create-bucket/)
(`noaa`) and write the NOAA data to it.
We also recommend updating the timestamps of the data to be relative to `now()`.
To do so, run the following:
```js
import "experimental/csv"
relativeToNow = (tables=<-) =>
tables
|> elapsed()
|> sort(columns: ["_time"], desc: true)
|> cumulativeSum(columns: ["elapsed"])
|> map(fn: (r) => ({ r with _time: time(v: int(v: now()) - (r.elapsed * 1000000000))}))
csv.from(url: "https://influx-testdata.s3.amazonaws.com/noaa.csv")
|> to(bucket: "noaa", org: "your-org")
|> relativeToNow()
|> to(bucket: "noaa", org: "example-org")
```
_Used in [Common queries](/influxdb/v2.0/query-data/common-queries/) and [Common tasks](/influxdb/v2.0/process-data/common-tasks/)._