Documentation

Manage databases

An InfluxDB database is a named location where time series data is stored. Each InfluxDB database has a retention period.

If coming from InfluxDB v1, the concepts of databases and retention policies have been combined into a single concept–database. Retention policies are no longer part of the InfluxDB data model. However, InfluxDB Cloud Dedicated does support InfluxQL, which requires databases and retention policies. See InfluxQL DBRP naming convention.

If coming from InfluxDB v2 or InfluxDB Cloud, database and bucket are synonymous.

Retention periods

A database retention period is the maximum age of data stored in the database. The age of data is determined by the timestamp associated with each point. When a point’s timestamp is beyond the retention period (relative to now), the point is marked for deletion and is removed from the database the next time the retention enforcement service runs.

The minimum retention period for and InfluxDB database is 1 hour. The maximum retention period is infinite meaning data does not expire and will never be removed by the retention enforcement service.

Table and column limits

In InfluxDB Cloud Dedicated, table (measurement) and column limits can be customized when creating or updating a database.

Table limit

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 InfluxDB Cloud Dedicated cluster in the following ways:

May improve query performance View more info

More PUTs into object storage View more info

More work for the compactor View more info

Column limit

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 InfluxDB Cloud Dedicated cluster in the following ways:

May adversely affect query performance


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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following: