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chore(influxdb3): Reconcile shared glossary page with Serverless

jts-shared-glossary
Jason Stirnaman 2025-04-15 15:16:35 -05:00
parent 92a105907b
commit 89f5f18137
1 changed files with 21 additions and 3 deletions
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content/shared/influxdb3-reference/glossary.md
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@ -246,7 +246,7 @@ A named location where time series data is stored.
In InfluxDB 1.x, a database represented a logical container for users, retention
policies, continuous queries, and time series data.
In InfluxDB 2.x, the equivalent of this concept is an InfluxDB [bucket](#bucket).
In InfluxDB 2.x and InfluxDB Cloud Serverless, the equivalent of this concept is an InfluxDB [bucket](#bucket).
Related entries:
[bucket](#bucket),
@ -658,7 +658,7 @@ Information passed through a pipe is retained until the receiving process reads
A Python file with a specific function signature that corresponds to a
[trigger](#trigger) type.
Plugins run in the [Processing engine](#processing-engine) to process data,
Plugins run in the InfluxDB 3 [Processing engine](#processing-engine) to process data,
respond to database events, and connect to external systems.
Related entries:
@ -786,12 +786,16 @@ Field type conflicts are a common cause of rejected points.
### retention period
The [duration](#duration) of time that a database retains data.
InfluxDB drops points with timestamps older than their database's retention period
relative to [now](#now).
The minimum retention period is **one hour**.
In InfluxDB Cloud Serverless, _bucket_ is synonymous with database.
Related entries:
[bucket](#bucket)
[database](#database)
### retention policy (RP)
@ -805,6 +809,8 @@ In {{< product-name >}}, the equivalent is [retention period](#retention-period)
however retention periods are not part of the data model.
The retention period describes the data persistence behavior of a database.
In InfluxDB Cloud Serverless, _bucket_ is synonymous with database.
Related entries:
[retention period](#retention-period),
@ -849,11 +855,18 @@ Related entries:
### schema
How data is organized in InfluxDB.
{{% hide-in "cloud-serverless" %}}
The fundamentals of the InfluxDB schema are databases, measurements,
tag keys, tag values, and field keys.
{{% /hide-in %}}
{{% show-in "cloud-serverless" %}}
The fundamentals of the {{% product-name %}} schema are buckets, measurements (or _tables_),
tag keys, tag values, and field keys.
{{% /show-in %}}
Related entries:
[bucket](#bucket),
[database](#database),
[field key](#field-key),
[measurement](#measurement),
[series](#series),
@ -888,7 +901,8 @@ Related entries:
### series cardinality
The number of unique measurement (table), tag set, and field key combinations in an InfluxDB database.
The number of unique measurement, tag set, and field key combinations in an
{{% product-name %}} database.
For example, assume that an InfluxDB database has one measurement.
The single measurement has two tag keys: `email` and `status`.
@ -922,6 +936,10 @@ The series cardinality would remain unchanged at 6, as `firstname` is already sc
| cliff@influxdata.com | start | clifford |
| cliff@influxdata.com | finish | clifford |
{{% show-in "cloud-serverless" %}}
In InfluxDB Cloud Serverless, _bucket_ is synonymous with database.
{{% /show-in %}}
Related entries:
[field key](#field-key),
[measurement](#measurement),