diff --git a/content/v2.0/write-data/best-practices/duplicate-points.md b/content/v2.0/write-data/best-practices/duplicate-points.md index 4fa05f2e8..3581185f0 100644 --- a/content/v2.0/write-data/best-practices/duplicate-points.md +++ b/content/v2.0/write-data/best-practices/duplicate-points.md @@ -2,19 +2,19 @@ title: Handle duplicate data points seotitle: Handle duplicate data points when writing to InfluxDB description: > - placeholder + InfluxDB identifies unique data points by their measurement, tag set, and timestamp. + This article discusses methods for preserving data from two points with a common + measurement, tag set, and timestamp but a different field set. weight: 202 menu: v2_0: name: Handle duplicate points parent: write-best-practices +v2.0/tags: [best practices, write] --- - - -## Identifying unique data points -Data points are written to InfluxDB using [Line protocol](/v2.0/reference/line-protocol). -InfluxDB identifies unique data points by their measurement name, tag set, and timestamp. +InfluxDB identifies unique data points by their measurement, tag set, and timestamp +(each a part of [Line protocol](/v2.0/reference/line-protocol) used to write data to InfluxDB). ```txt web,host=host2,region=us_west firstByte=15.0 1559260800000000000 @@ -40,12 +40,6 @@ web,host=host2,region=us_west firstByte=15.0 1559260800000000000 After you submit the new point, InfluxDB overwrites `firstByte` with the new field value and leaves the field `dnsLookup` alone: -{{% note %}} -The output of examples queries in this article has been modified to clearly show -the different approaches to handling duplicate data. -The -{{% /note %}} - ```sh from(bucket: "example-bucket") |> range(start: 2019-05-31T00:00:00Z, stop: 2019-05-31T12:00:00Z) @@ -120,3 +114,8 @@ Table: keys: [_measurement, host, region] 2019-05-31T00:00:00.000000000Z web host2 us_west 24 7 2019-05-31T00:00:00.000000001Z web host2 us_west 15 ``` + +{{% note %}} +The output of examples queries in this article has been modified to clearly show +the different approaches and results for handling duplicate data. +{{% /note %}}