content/influxdb3/clustered/admin/databases/update.md
Use the influxctl database update command
to update a database in your {{< product-name omit=" Clustered" >}} cluster.
If you haven't already, download and install the influxctl CLI.
Run the influxctl database update command and provide the following:
0).500.250.{{% code-placeholders "DATABASE_NAME|30d|500|200" %}}
influxctl database update \
--retention-period 30d \
--max-tables 500 \
--max-columns 250 \
DATABASE_NAME
{{% /code-placeholders %}}
Replace the following in your command:
DATABASE_NAME{{% /code-placeholder-key %}}: your {{% product-name %}} database[!Note]
Database names can't be updated with this command
The
influxctl database updatecommand uses the database name to identify which database to apply updates to. To rename a database, use theinfluxctl database renamecommand.
Use the --retention-period flag to define a specific
retention period
for the database.
The retention period value is a time duration value made up of a numeric value
plus a duration unit.
For example, 30d means 30 days.
A zero duration (for example, 0s or 0d) retention period is infinite and data won't expire.
The retention period value cannot be negative or contain whitespace.
{{< flex >}} {{% flex-content "half" %}}
{{% /flex-content %}} {{% flex-content "half" %}}
0d: infinite/none3d: 3 days6w: 6 weeks1mo: 1 month (30 days)1y: 1 year30d30d: 60 days2.5d: 60 hours{{% /flex-content %}} {{< /flex >}}
Database names must adhere to the following naming restrictions:
_), dash (-), and forward-slash
(/) characters are permitted._).In InfluxDB 1.x, data is stored in databases and retention policies. In {{< product-name >}}, databases and retention policies have been merged into databases, where databases have a retention period, but retention policies are no longer part of the data model. Because InfluxQL uses the 1.x data model, a database must be mapped to a v1 database and retention policy (DBRP) to be queryable with InfluxQL.
When naming a database that you want to query with InfluxQL, use the following naming convention to automatically map v1 DBRP combinations to a database:
database_name/retention_policy_name
| v1 Database name | v1 Retention Policy name | New database name |
|---|---|---|
| db | rp | db/rp |
| telegraf | autogen | telegraf/autogen |
| webmetrics | 1w-downsampled | webmetrics/1w-downsampled |
In {{< product-name >}}, table (measurement) and column limits can be
configured using the --max-tables and --max-columns flags.
Default maximum number of tables: 500
Each measurement is represented by a table in a database. Your database's table limit can be raised beyond the default limit of 500. InfluxData has production examples of clusters with 20,000+ active tables across multiple databases.
Increasing your table limit affects your {{% product-name omit=" Clustered" %}} cluster in the following ways:
{{< expand-wrapper >}} {{% expand "May improve query performance <em style='opacity:.5;font-weight:normal;'>View more info</em>" %}}
Schemas with many measurements that contain focused sets of tags and fields can make it easier for the query engine to identify what partitions contain the queried data, resulting in better query performance.
{{% /expand %}} {{% expand "More PUTs into object storage <em style='opacity:.5;font-weight:normal;'>View more info</em>" %}}
By default, {{< product-name >}} partitions
data by measurement and time range and stores each partition as a Parquet
file in your cluster's object store. By increasing the number of measurements
(tables) you can store in your database, you also increase the potential for
more PUT requests into your object store as InfluxDB creates more partitions.
Each PUT request incurs a monetary cost and will increase the operating cost of
your cluster.
{{% /expand %}} {{% expand "More work for the compactor <em style='opacity:.5;font-weight:normal;'>View more info</em>" %}}
To optimize storage over time, your {{< product-name omit=" Clustered" >}} cluster contains a compactor that routinely compacts Parquet files in object storage. With more tables and partitions to compact, the compactor may need to be scaled (either vertically or horizontally) to keep up with demand, adding to the operating cost of your cluster.
{{% /expand %}} {{< /expand-wrapper >}}
Default maximum number of columns: 250
Time, fields, and tags are each represented by a column in a table. Increasing your column limit affects your {{% product-name omit=" Clustered" %}} cluster in the following ways:
{{< expand-wrapper >}} {{% expand "May adversely affect query performance" %}}
At query time, the InfluxDB query engine identifies what table contains the queried data and then evaluates each row in the table to match the conditions of the query. The more columns that are in each row, the longer it takes to evaluate each row.
Through performance testing, InfluxData has identified 250 columns as the threshold beyond which query performance may be affected (depending on the shape of and data types in your schema).
{{% /expand %}} {{< /expand-wrapper >}}