Documentation

SQL cache functions

InfluxDB 3 Core is in Public Beta

InfluxDB 3 Core is in public beta and available for testing and feedback, but is not meant for production use yet. Both the product and this documentation are works in progress. We welcome and encourage your input about your experience with the beta and invite you to join our public channels for updates and to share feedback.

Beta expectations and recommendations

The InfluxDB 3 Core SQL implementation supports the following functions that return data from InfluxDB 3 Core caches.

distinct_cache

Returns data from an InfluxDB 3 Core distinct value cache.

distinct_cache(table_name, cache_name)
  • Copy
  • Fill window

Arguments

  • table_name: Name of the table associated with the distinct value cache (formatted as a string literal).
  • datatype: Name of the the distinct value cache to query (formatted as a string literal).

View distinct_cache query example

last_cache

Returns data from an InfluxDB 3 Core last value cache.

last_cache(table_name, cache_name)
  • Copy
  • Fill window

Arguments

  • table_name: Name of the table associated with the last value cache (formatted as a string literal).
  • datatype: Name of the the last value cache to query (formatted as a string literal).

View last_cache query example


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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.

Read more

InfluxDB 3 Core and Enterprise are now in Beta

InfluxDB 3 Core and Enterprise are now available for beta testing, available under MIT or Apache 2 license.

InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries. A free tier of InfluxDB 3 Enterprise will also be available for at-home, non-commercial use for hobbyists to get the full historical time series database set of capabilities.

For more information, check out: